From 20d090151fbc2e75394fc456f49f0078e59752d8 Mon Sep 17 00:00:00 2001 From: Daniel Baumann Date: Thu, 22 Jun 2023 20:53:31 +0200 Subject: Adding upstream version 16.4.0. Signed-off-by: Daniel Baumann --- CHANGELOG.md | 53 +- docs/search.js | 2 +- docs/sqlglot/_version.html | 4 +- docs/sqlglot/dataframe.html | 18 +- docs/sqlglot/dataframe/sql.html | 3386 ++-- docs/sqlglot/dialects/bigquery.html | 1984 +-- docs/sqlglot/dialects/clickhouse.html | 70 +- docs/sqlglot/dialects/databricks.html | 62 + docs/sqlglot/dialects/dialect.html | 2246 +-- docs/sqlglot/dialects/drill.html | 62 + docs/sqlglot/dialects/duckdb.html | 1130 +- docs/sqlglot/dialects/hive.html | 1678 +- docs/sqlglot/dialects/mysql.html | 62 + docs/sqlglot/dialects/oracle.html | 62 + docs/sqlglot/dialects/postgres.html | 62 + docs/sqlglot/dialects/presto.html | 1401 +- docs/sqlglot/dialects/redshift.html | 1086 +- docs/sqlglot/dialects/snowflake.html | 1406 +- docs/sqlglot/dialects/spark.html | 62 + docs/sqlglot/dialects/spark2.html | 62 + docs/sqlglot/dialects/sqlite.html | 970 +- docs/sqlglot/dialects/starrocks.html | 62 + docs/sqlglot/dialects/tableau.html | 62 + docs/sqlglot/dialects/teradata.html | 62 + docs/sqlglot/dialects/trino.html | 62 + docs/sqlglot/dialects/tsql.html | 62 + docs/sqlglot/executor/python.html | 62 + docs/sqlglot/expressions.html | 15204 ++++++++--------- docs/sqlglot/generator.html | 12856 +++++++-------- docs/sqlglot/helper.html | 1592 +- docs/sqlglot/optimizer/eliminate_joins.html | 8 +- docs/sqlglot/optimizer/merge_subqueries.html | 247 +- docs/sqlglot/optimizer/normalize_identifiers.html | 114 +- docs/sqlglot/optimizer/optimize_joins.html | 298 +- docs/sqlglot/optimizer/optimizer.html | 2 +- docs/sqlglot/optimizer/pushdown_predicates.html | 16 +- docs/sqlglot/optimizer/qualify_columns.html | 674 +- docs/sqlglot/parser.html | 16126 ++++++++++--------- docs/sqlglot/planner.html | 6 +- docs/sqlglot/schema.html | 644 +- docs/sqlglot/tokens.html | 3965 ++--- sqlglot/__init__.py | 47 +- sqlglot/dataframe/README.md | 18 +- sqlglot/dataframe/sql/column.py | 5 + sqlglot/dataframe/sql/dataframe.py | 1 + sqlglot/dataframe/sql/normalize.py | 2 + sqlglot/dataframe/sql/readwriter.py | 14 +- sqlglot/dialects/bigquery.py | 22 + sqlglot/dialects/clickhouse.py | 2 +- sqlglot/dialects/dialect.py | 78 +- sqlglot/dialects/duckdb.py | 11 +- sqlglot/dialects/hive.py | 23 +- sqlglot/dialects/mysql.py | 7 +- sqlglot/dialects/presto.py | 20 +- sqlglot/dialects/redshift.py | 3 + sqlglot/dialects/snowflake.py | 5 +- sqlglot/dialects/sqlite.py | 3 + sqlglot/dialects/teradata.py | 13 +- sqlglot/expressions.py | 33 +- sqlglot/generator.py | 102 +- sqlglot/helper.py | 97 +- sqlglot/optimizer/annotate_types.py | 2 +- sqlglot/optimizer/normalize_identifiers.py | 25 +- sqlglot/optimizer/qualify_columns.py | 20 +- sqlglot/optimizer/simplify.py | 9 +- sqlglot/parser.py | 78 +- sqlglot/schema.py | 28 +- sqlglot/time.py | 9 +- sqlglot/tokens.py | 18 +- sqlglot/trie.py | 43 +- tests/dataframe/integration/dataframe_validator.py | 6 +- tests/dataframe/unit/test_dataframe_writer.py | 8 +- tests/dataframe/unit/test_session.py | 14 +- tests/dialects/test_bigquery.py | 38 + tests/dialects/test_clickhouse.py | 2 +- tests/dialects/test_dialect.py | 10 +- tests/dialects/test_duckdb.py | 1 + tests/dialects/test_hive.py | 31 +- tests/dialects/test_mysql.py | 30 +- tests/dialects/test_postgres.py | 14 +- tests/dialects/test_presto.py | 27 +- tests/dialects/test_redshift.py | 2 +- tests/dialects/test_snowflake.py | 1 + tests/dialects/test_spark.py | 10 +- tests/dialects/test_tsql.py | 2 + tests/fixtures/identity.sql | 2 - tests/fixtures/optimizer/optimizer.sql | 35 + tests/fixtures/optimizer/simplify.sql | 6 + tests/test_expressions.py | 1 + tests/test_schema.py | 11 +- 90 files changed, 35638 insertions(+), 33343 deletions(-) diff --git a/CHANGELOG.md b/CHANGELOG.md index 75473d3..474bf36 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,6 +1,54 @@ Changelog ========= +## [v16.3.1] - 2023-06-16 +### :bug: Bug Fixes +- [`18db68c`](https://github.com/tobymao/sqlglot/commit/18db68c15e607884572adaae3dd6bd0c6c4bc582) - cluster/distribute/sort by for hive *(commit by [@tobymao](https://github.com/tobymao))* + + +## [v16.3.0] - 2023-06-16 +### :boom: BREAKING CHANGES +- due to [`038afc9`](https://github.com/tobymao/sqlglot/commit/038afc90b1f3fe261ea6ffb4d3654006bb4317fd) - switch presto tsords to cast timestamp -> date *(commit by [@tobymao](https://github.com/tobymao))*: + + switch presto tsords to cast timestamp -> date + +- due to [`4084ba3`](https://github.com/tobymao/sqlglot/commit/4084ba322d8ae07620c69bf7586571d209e68917) - move normalization logic in Dialect, update case-sensitivity info *(PR [#1784](https://github.com/tobymao/sqlglot/pull/1784) by [@GeorgeSittas](https://github.com/GeorgeSittas))*: + + move normalization logic in Dialect, update case-sensitivity info (#1784) + + +### :sparkles: New Features +- [`fc9afb3`](https://github.com/tobymao/sqlglot/commit/fc9afb3e3033bdf61d58592625f23c6f915370e0) - **snowflake**: add support for COPY GRANTS property *(PR [#1793](https://github.com/tobymao/sqlglot/pull/1793) by [@GeorgeSittas](https://github.com/GeorgeSittas))* + - :arrow_lower_right: *addresses issue [#1791](undefined) opened by [@vedas2](https://github.com/vedas2)* + +### :bug: Bug Fixes +- [`311380c`](https://github.com/tobymao/sqlglot/commit/311380c14b5f9627e0b5fea5a04e60d23c062dd9) - select as struct transpilation closes [#1788](https://github.com/tobymao/sqlglot/pull/1788) *(commit by [@tobymao](https://github.com/tobymao))* +- [`1b62c0a`](https://github.com/tobymao/sqlglot/commit/1b62c0a3a4cbf3d5ac442e7c8fa9e462e3fff982) - **parser**: cast coalesce arg to text in the context of a CONCAT call *(PR [#1792](https://github.com/tobymao/sqlglot/pull/1792) by [@GeorgeSittas](https://github.com/GeorgeSittas))* +- [`d27e8f8`](https://github.com/tobymao/sqlglot/commit/d27e8f8ead98373fc5b699abaeb0a235efcf9f6e) - **schema**: ensure tables aren't normalized for BigQuery *(PR [#1794](https://github.com/tobymao/sqlglot/pull/1794) by [@GeorgeSittas](https://github.com/GeorgeSittas))* +- [`58fe190`](https://github.com/tobymao/sqlglot/commit/58fe1903166b88eddb82ceddd296c3363cd8a06d) - rawstring backslashes for bigquery *(commit by [@tobymao](https://github.com/tobymao))* + +### :recycle: Refactors +- [`038afc9`](https://github.com/tobymao/sqlglot/commit/038afc90b1f3fe261ea6ffb4d3654006bb4317fd) - switch presto tsords to cast timestamp -> date *(commit by [@tobymao](https://github.com/tobymao))* +- [`4084ba3`](https://github.com/tobymao/sqlglot/commit/4084ba322d8ae07620c69bf7586571d209e68917) - move normalization logic in Dialect, update case-sensitivity info *(PR [#1784](https://github.com/tobymao/sqlglot/pull/1784) by [@GeorgeSittas](https://github.com/GeorgeSittas))* + + +## [v16.2.1] - 2023-06-16 +### :boom: BREAKING CHANGES +- due to [`88249b8`](https://github.com/tobymao/sqlglot/commit/88249b825fbe446e3450a364ef8e108e8495767e) - cyclic joins in the optimizer *(PR [#1786](https://github.com/tobymao/sqlglot/pull/1786) by [@tobymao](https://github.com/tobymao))*: + + cyclic joins in the optimizer (#1786) + + +### :bug: Bug Fixes +- [`88249b8`](https://github.com/tobymao/sqlglot/commit/88249b825fbe446e3450a364ef8e108e8495767e) - cyclic joins in the optimizer *(PR [#1786](https://github.com/tobymao/sqlglot/pull/1786) by [@tobymao](https://github.com/tobymao))* +- [`f957a07`](https://github.com/tobymao/sqlglot/commit/f957a07468df3e9a30393cbcb9baafcb41ad0bc6) - overly aggressive cross join removal *(commit by [@tobymao](https://github.com/tobymao))* +- [`cacf8bf`](https://github.com/tobymao/sqlglot/commit/cacf8bf65dcb0dfc9c0b6339d84f2cfec9bcb46b) - build null types *(commit by [@tobymao](https://github.com/tobymao))* + +### :wrench: Chores +- [`d696d7f`](https://github.com/tobymao/sqlglot/commit/d696d7fe195a841d9418487627496054b0d4492f) - cleanup merge_subqueries *(commit by [@tobymao](https://github.com/tobymao))* +- [`8e1b6a7`](https://github.com/tobymao/sqlglot/commit/8e1b6a723fa48181314dcb867a04ff1346bab27b) - speed up executor tests *(commit by [@tobymao](https://github.com/tobymao))* + + ## [v16.2.0] - 2023-06-15 ### :bug: Bug Fixes - [`b29a421`](https://github.com/tobymao/sqlglot/commit/b29a421843bc94d88e5f67dd787ee07a675d16ab) - parsing unknown into data type build *(commit by [@tobymao](https://github.com/tobymao))* @@ -522,4 +570,7 @@ Changelog [v16.1.1]: https://github.com/tobymao/sqlglot/compare/v16.1.0...v16.1.1 [v16.1.3]: https://github.com/tobymao/sqlglot/compare/v16.1.2...v16.1.3 [v16.1.4]: https://github.com/tobymao/sqlglot/compare/v16.1.3...v16.1.4 -[v16.2.0]: https://github.com/tobymao/sqlglot/compare/v16.1.4...v16.2.0 \ No newline at end of file +[v16.2.0]: https://github.com/tobymao/sqlglot/compare/v16.1.4...v16.2.0 +[v16.2.1]: https://github.com/tobymao/sqlglot/compare/v16.2.0...v16.2.1 +[v16.3.0]: https://github.com/tobymao/sqlglot/compare/v16.2.1...v16.3.0 +[v16.3.1]: https://github.com/tobymao/sqlglot/compare/v16.3.0...v16.3.1 \ No newline at end of file diff --git a/docs/search.js b/docs/search.js index a30047a..7c57246 100644 --- a/docs/search.js +++ b/docs/search.js @@ -1,6 +1,6 @@ window.pdocSearch = (function(){ /** elasticlunr - 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\n\n

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

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

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

\n\n

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

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Learn more about the SQLGlot API in the documentation.

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

\n\n

Table of Contents

\n\n\n\n

Install

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From PyPI:

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pip3 install sqlglot\n
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Or with a local checkout:

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make install\n
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Requirements for development (optional):

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make install-dev\n
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Versioning

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Given a version number MAJOR.MINOR.PATCH, SQLGlot uses the following versioning strategy:

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    \n
  • The PATCH version is incremented when there are backwards-compatible fixes or feature additions.
    • \n
  • The MINOR version is incremented when there are backwards-incompatible fixes or feature additions.
    • \n
  • The MAJOR version is incremented when there are significant backwards-incompatible fixes or feature additions.
    • \n
\n\n

Get in Touch

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

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Examples

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Formatting and Transpiling

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

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\n
import sqlglot\nsqlglot.transpile("SELECT EPOCH_MS(1618088028295)", read="duckdb", write="hive")[0]\n
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'SELECT FROM_UNIXTIME(1618088028295 / 1000)'\n
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SQLGlot can even translate custom time formats:

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

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

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

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

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

Metadata

\n\n

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

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

Parser Errors

\n\n

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

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

Structured syntax errors are accessible for programmatic use:

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

Unsupported Errors

\n\n

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

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

Build and Modify SQL

\n\n

SQLGlot supports incrementally building sql expressions:

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

You can also modify a parsed tree:

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

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

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

SQL Optimizer

\n\n

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

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

AST Introspection

\n\n

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

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

AST Diff

\n\n

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

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

See also: Semantic Diff for SQL.

\n\n

Custom Dialects

\n\n

Dialects can be added by subclassing Dialect:

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

SQL Execution

\n\n

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

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

See also: Writing a Python SQL engine from scratch.

\n\n

Used By

\n\n\n\n

Documentation

\n\n

SQLGlot uses pdoc to serve its API documentation.

\n\n

A hosted version is on the SQLGlot website, or you can build locally with:

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

Run Tests and Lint

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

Benchmarks

\n\n

Benchmarks run on Python 3.10.5 in seconds.

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

Optional Dependencies

\n\n

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

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

Whether to format generated SQL by default.

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

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

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

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

The resulting syntax tree collection.

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

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

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

The syntax tree for the first parsed statement.

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

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

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

The list of transpiled SQL statements.

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

PySpark DataFrame SQL Generator

\n\n

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

\n\n

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

\n\n

How to use

\n\n

Instructions

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

Examples

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

Registering Custom Schema Class

\n\n

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

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

Example Implementations

\n\n

Bigquery

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

Snowflake

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

Spark

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

Unsupportable Operations

\n\n

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

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

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

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

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

\n", "signature": "(\tself,\tdata: Sequence[Union[Dict[str, <MagicMock id='140043311982688'>], List[<MagicMock id='140043311982688'>], Tuple]],\tschema: Optional[<MagicMock id='140043311598608'>] = None,\tsamplingRatio: Optional[float] = None,\tverifySchema: bool = False) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.sql": {"fullname": "sqlglot.dataframe.sql.SparkSession.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.sql", "kind": "function", "doc": "

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

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

\n", "signature": "(\tspark: <MagicMock id='140043314786224'>,\texpression: sqlglot.expressions.Select,\tbranch_id: Optional[str] = None,\tsequence_id: Optional[str] = None,\tlast_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>,\tpending_hints: Optional[List[sqlglot.expressions.Expression]] = None,\toutput_expression_container: Optional[<MagicMock id='140043314972080'>] = None,\t**kwargs)"}, "sqlglot.dataframe.sql.DataFrame.sql": {"fullname": "sqlglot.dataframe.sql.DataFrame.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sql", "kind": "function", "doc": "

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

\n\n

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

\n", "signature": "(\tself,\tvalue: <MagicMock id='140043310407712'>,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.replace": {"fullname": "sqlglot.dataframe.sql.DataFrame.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[Collection[<MagicMock id='140043310703920'>], <MagicMock id='140043310703920'>, NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumn", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumn", "kind": "function", "doc": "

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

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

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

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

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

\n", "signature": "(\tself,\tnumPartitions: Union[int, <MagicMock id='140043310895632'>],\t*cols: <MagicMock id='140043310935312'>) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"fullname": "sqlglot.dataframe.sql.DataFrame.coalesce", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.coalesce", "kind": "function", "doc": "

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

\n", "signature": "(\texpression: Union[<MagicMock id='140043312805776'>, sqlglot.expressions.Expression, NoneType])"}, "sqlglot.dataframe.sql.Column.ensure_col": {"fullname": "sqlglot.dataframe.sql.Column.ensure_col", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_col", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: Union[<MagicMock id='140043311007728'>, sqlglot.expressions.Expression, NoneType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_cols": {"fullname": "sqlglot.dataframe.sql.Column.ensure_cols", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_cols", "kind": "function", "doc": "

\n", "signature": "(\tcls,\targs: List[Union[<MagicMock id='140043311137744'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.column.Column]:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"fullname": "sqlglot.dataframe.sql.Column.invoke_anonymous_function", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_anonymous_function", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140043310280000'>],\tfunc_name: str,\t*args: Optional[<MagicMock id='140043311061728'>]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"fullname": "sqlglot.dataframe.sql.Column.invoke_expression_over_column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_expression_over_column", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140043309080992'>],\tcallable_expression: Callable,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.binary_op": {"fullname": "sqlglot.dataframe.sql.Column.binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140043309221248'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"fullname": "sqlglot.dataframe.sql.Column.inverse_binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.inverse_binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140043309230512'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.unary_op": {"fullname": "sqlglot.dataframe.sql.Column.unary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.unary_op", "kind": "function", "doc": "

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140043309453744'>, Iterable[<MagicMock id='140043309453744'>]]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.between": {"fullname": "sqlglot.dataframe.sql.Column.between", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.between", "kind": "function", "doc": "

\n", "signature": "(\tself,\tlowerBound: <MagicMock id='140043309563968'>,\tupperBound: <MagicMock id='140043309589040'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.over": {"fullname": "sqlglot.dataframe.sql.Column.over", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.over", "kind": "function", "doc": "

\n", "signature": "(\tself,\twindow: <MagicMock id='140043309646896'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions", "kind": "class", "doc": "

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

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

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

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

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

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

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140043310053360'>, List[<MagicMock id='140043310053360'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.orderBy": {"fullname": "sqlglot.dataframe.sql.Window.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140043309956208'>, List[<MagicMock id='140043309956208'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rowsBetween": {"fullname": "sqlglot.dataframe.sql.Window.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rowsBetween", "kind": "function", "doc": "

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

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

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

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

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

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

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140043309879920'>, List[<MagicMock id='140043309879920'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140043309740432'>, List[<MagicMock id='140043309740432'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rowsBetween", "kind": "function", "doc": "

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

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

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

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

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

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

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

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

Dialects

\n\n

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

\n\n

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

\n\n

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

\n\n

Implementing a custom Dialect

\n\n

Consider the following example:

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

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

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

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.array_sql", "kind": "function", "doc": "

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.safeconcat_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.safeconcat_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.safeconcat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SafeConcat) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.after_limit_modifiers", "kind": "function", "doc": "

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\n", "signature": "(self, expression: sqlglot.expressions.Anonymous) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.placeholder_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Placeholder) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.oncluster_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.oncluster_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.oncluster_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.OnCluster) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.createable_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.createable_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.createable_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Create,\tlocations: dict[sqlglot.expressions.Properties.Location, list[sqlglot.expressions.Property]]) -> str:", "funcdef": "def"}, "sqlglot.dialects.databricks": {"fullname": "sqlglot.dialects.databricks", "modulename": "sqlglot.dialects.databricks", "kind": "module", "doc": "

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Parser"}, "sqlglot.dialects.databricks.Databricks.Generator": {"fullname": "sqlglot.dialects.databricks.Databricks.Generator", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Generator"}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"fullname": "sqlglot.dialects.databricks.Databricks.Tokenizer", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark2.Spark2.Tokenizer"}, "sqlglot.dialects.dialect": {"fullname": "sqlglot.dialects.dialect", "modulename": "sqlglot.dialects.dialect", "kind": "module", "doc": "

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

An enumeration.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

\n", "default_value": "<Dialects.SPARK: 'spark'>"}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK2", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK2", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SPARK2: 'spark2'>"}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"fullname": "sqlglot.dialects.dialect.Dialects.SQLITE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SQLITE", "kind": "variable", "doc": "

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Helper used for time expressions.

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

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

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

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

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

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

\n", "signature": "(expression_class: Type[~E]) -> Callable[[List], Optional[~E]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.date_trunc_to_time": {"fullname": "sqlglot.dialects.dialect.date_trunc_to_time", "modulename": "sqlglot.dialects.dialect", "qualname": "date_trunc_to_time", "kind": "function", "doc": "

\n", "signature": "(\targs: List) -> sqlglot.expressions.DateTrunc | sqlglot.expressions.TimestampTrunc:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"fullname": "sqlglot.dialects.dialect.timestamptrunc_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestamptrunc_sql", "kind": "function", "doc": "

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

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

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

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

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

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

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

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

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

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

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

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

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

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

\n", "signature": "(\taggregations: List[sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.drill": {"fullname": "sqlglot.dialects.drill", "modulename": "sqlglot.dialects.drill", "kind": "module", "doc": "

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.drill.Drill.Generator": {"fullname": "sqlglot.dialects.drill.Drill.Generator", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"fullname": "sqlglot.dialects.drill.Drill.Generator.normalize_func", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator.normalize_func", "kind": "function", "doc": "

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

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.duckdb.DuckDB.Generator.interval_sql": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator.interval_sql", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator.interval_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Interval) -> str:", "funcdef": "def"}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator.tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.TableSample,\tseed_prefix: str = 'SEED',\tsep: str = ' AS ') -> str:", "funcdef": "def"}, "sqlglot.dialects.hive": {"fullname": "sqlglot.dialects.hive", "modulename": "sqlglot.dialects.hive", "kind": "module", "doc": "

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.hive.Hive.Generator": {"fullname": "sqlglot.dialects.hive.Hive.Generator", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"fullname": "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.arrayagg_sql", "kind": "function", "doc": "

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

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

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"fullname": "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.after_having_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.mysql": {"fullname": "sqlglot.dialects.mysql", "modulename": "sqlglot.dialects.mysql", "kind": "module", "doc": "

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.mysql.MySQL.Generator": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.show_sql", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.show_sql", "kind": "function", "doc": "

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.oracle.Oracle.Generator": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.offset_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.offset_sql", "kind": "function", "doc": "

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

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

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

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

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.postgres.Postgres.Generator": {"fullname": "sqlglot.dialects.postgres.Postgres.Generator", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto": {"fullname": "sqlglot.dialects.presto", "modulename": "sqlglot.dialects.presto", "kind": "module", "doc": "

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.presto.Presto.Generator": {"fullname": "sqlglot.dialects.presto.Presto.Generator", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.interval_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.interval_sql", "kind": "function", "doc": "

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

\n", "signature": "(self, expression: sqlglot.expressions.Transaction) -> str:", "funcdef": "def"}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.generateseries_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.generateseries_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GenerateSeries) -> str:", "funcdef": "def"}, "sqlglot.dialects.presto.Presto.Generator.offset_limit_modifiers": {"fullname": "sqlglot.dialects.presto.Presto.Generator.offset_limit_modifiers", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.offset_limit_modifiers", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Expression,\tfetch: bool,\tlimit: Union[sqlglot.expressions.Fetch, sqlglot.expressions.Limit, NoneType]) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.redshift": {"fullname": "sqlglot.dialects.redshift", "modulename": "sqlglot.dialects.redshift", "kind": "module", "doc": "

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Parser"}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"fullname": "sqlglot.dialects.redshift.Redshift.Tokenizer", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Tokenizer", "kind": "class", "doc": "

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

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Generator"}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.values_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.values_sql", "kind": "function", "doc": "

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

\n\n

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

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

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

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

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

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Tokenizer", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Tokenizer", "kind": "class", "doc": "

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

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.except_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.except_op", "kind": "function", "doc": "

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

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

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

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

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

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

\n", "bases": "sqlglot.dialects.spark2.Spark2"}, "sqlglot.dialects.spark.Spark.Parser": {"fullname": "sqlglot.dialects.spark.Spark.Parser", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Parser", "kind": "class", "doc": "

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.dialects.spark2.Spark2.Parser"}, "sqlglot.dialects.spark.Spark.Generator": {"fullname": "sqlglot.dialects.spark.Spark.Generator", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.spark2.Spark2.Generator"}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"fullname": "sqlglot.dialects.spark.Spark.Generator.datediff_sql", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator.datediff_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2": {"fullname": "sqlglot.dialects.spark2", "modulename": "sqlglot.dialects.spark2", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.spark2.Spark2": {"fullname": "sqlglot.dialects.spark2.Spark2", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive"}, "sqlglot.dialects.spark2.Spark2.Parser": {"fullname": "sqlglot.dialects.spark2.Spark2.Parser", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Parser", "kind": "class", "doc": "

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Parser"}, "sqlglot.dialects.spark2.Spark2.Generator": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Generator"}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator.cast_sql", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator.columndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"fullname": "sqlglot.dialects.spark2.Spark2.Tokenizer", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Tokenizer", "kind": "class", "doc": "

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

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.sqlite.SQLite.Generator": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.datediff_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.groupconcat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GroupConcat) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.least_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.least_sql", "kind": "function", "doc": "

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

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.dialects.mysql.MySQL.Parser"}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"fullname": "sqlglot.dialects.starrocks.StarRocks.Generator", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.mysql.MySQL.Generator"}, "sqlglot.dialects.tableau": {"fullname": "sqlglot.dialects.tableau", "modulename": "sqlglot.dialects.tableau", "kind": "module", "doc": "

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

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

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.if_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.if_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.count_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.count_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Count) -> str:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Parser": {"fullname": "sqlglot.dialects.tableau.Tableau.Parser", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Parser", "kind": "class", "doc": "

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata": {"fullname": "sqlglot.dialects.teradata", "modulename": "sqlglot.dialects.teradata", "kind": "module", "doc": "

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

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata.Teradata.Generator": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.partitionedbyproperty_sql", "kind": "function", "doc": "

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

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

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

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

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

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Create,\tlocations: dict[sqlglot.expressions.Properties.Location, list[sqlglot.expressions.Property]]) -> str:", "funcdef": "def"}, "sqlglot.dialects.trino": {"fullname": "sqlglot.dialects.trino", "modulename": "sqlglot.dialects.trino", "kind": "module", "doc": "

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

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

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.presto.Presto.Generator"}, "sqlglot.dialects.trino.Trino.Tokenizer": {"fullname": "sqlglot.dialects.trino.Trino.Tokenizer", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Tokenizer", "kind": "class", "doc": "

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

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

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.DateAdd | sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL": {"fullname": "sqlglot.dialects.tsql.TSQL", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL", "kind": "class", "doc": "

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

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

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

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.tsql.TSQL.Generator": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.offset_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.offset_sql", "kind": "function", "doc": "

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

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

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

Semantic Diff for SQL

\n\n

by Iaroslav Zeigerman

\n\n

Motivation

\n\n

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

\n\n

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

\n\n

Consider the following diff generated by Git:

\n\n

\"Git

\n\n

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

\n\n

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

\n\n

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

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

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

\n\n

The Search for a Solution

\n\n

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

\n\n

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

\n\n

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

\n\n

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

\n\n

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

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

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

\n\n

Na\u00efve Brute-Force

\n\n

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

\n\n

Myers Algorithm

\n\n

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

\n\n

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

\n\n

Change Distiller

\n\n

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

\n\n

The algorithm consists of two high-level steps:

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

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

\n\n

Building the Matching Set

\n\n

Matching Leaves

\n\n

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

\n\n

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

\n\n

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

\n\n

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

\n\n

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

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

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

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

The dice coefficient formula looks like following:

\n\n

\"Dice

\n\n

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

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

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

\n\n

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

\n\n

\"Matching

\n\n

The two nodes are matched if two conditions are met:

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

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

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

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

\n\n

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

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

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

\n\n

Matching Inner Nodes

\n\n

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

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

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

\n\n

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

\n\n

\"Matching

\n\n

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

\n\n

There are two additional heuristics associated with this matching criteria:

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

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

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

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

\n\n

Generating the Edit Script

\n\n

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

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

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

\n\n

The latter two cases are pretty straightforward to implement:

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

Traversing the matching set requires a little more thought:

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

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

\n\n

Now with this knowledge, the implementation becomes straightforward:

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

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

\n\n

Output

\n\n

The implemented algorithm produces the output that resembles the following:

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

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

\n\n

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

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

Optimizations

\n\n

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

\n\n

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

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

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

\n\n

Alternative Solutions

\n\n

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

\n\n

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

\n\n

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

\n\n

Conclusion

\n\n

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

\n\n

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

\n\n

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

\n\n

References

\n\n

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

\n\n

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

\n\n

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

\n\n

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

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

Indicates that a new node has been inserted

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

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

Indicates that an existing node has been removed

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

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

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

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

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

Indicates that an existing node has been updated

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

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

Indicates that an existing node hasn't been changed

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

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

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

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

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

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

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

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

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

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

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

An enumeration.

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

Ignore all errors.

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

Log all errors.

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

Collect all errors and raise a single exception.

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

Immediately raise an exception on the first error found.

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

Common base class for all non-exit exceptions.

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

Common base class for all non-exit exceptions.

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

Common base class for all non-exit exceptions.

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

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

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

Common base class for all non-exit exceptions.

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

Common base class for all non-exit exceptions.

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

Common base class for all non-exit exceptions.

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

Common base class for all non-exit exceptions.

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

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

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

Writing a Python SQL engine from scratch

\n\n

Toby Mao

\n\n

Introduction

\n\n

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

\n\n

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

\n\n\n\n

Why?

\n\n

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

\n\n

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

\n\n

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

\n\n

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

\n\n

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

\n\n

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

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

How?

\n\n

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

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

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

\n\n

Tokenizing

\n\n

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

\n\n

Running the SQLGlot tokenizer shows the output.

\n\n

\"Tokenizer

\n\n

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

\n\n

Parsing

\n\n

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

\n\n

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

\n\n

\"Parser

\n\n

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

\n\n

Optimizing

\n\n

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

\n\n
    \n

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

    2. \n

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

    3. \n

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

    4. \n
\n\n

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

\n\n

\"Optimizer

\n\n

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

\n\n

Some example rules are:

\n\n

qualify_tables and qualify_columns

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

simplify

\n\n

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

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

normalize

\n\n

Attempts to convert all predicates into conjunctive normal form.

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

unnest_subqueries

\n\n

Converts subqueries in predicates into joins.

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

pushdown_predicates

\n\n

Push down filters into the innermost query.

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

annotate_types

\n\n

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

\n\n

Planning

\n\n

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

\n\n

Scan

\n\n

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

\n\n

Sort

\n\n

Sorts a table for order by expressions.

\n\n

Set

\n\n

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

\n\n

Aggregate

\n\n

Applies an aggregation/group by.

\n\n

Join

\n\n

Joins multiple tables together.

\n\n

\"Planner

\n\n

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

\n\n

Executing

\n\n

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

\n\n

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

\n\n

\"Executor

\n\n

What's next

\n\n

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

\n\n

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

\n\n

Special thanks

\n\n

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

\n\n

Get in touch

\n\n

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

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

Run a sql query against data.

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

Simple columnar data structure.

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

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

Execution context for sql expressions.

\n\n

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

\n\n

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

\n\n

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

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

In which case all arguments are required.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.executor.table": {"fullname": "sqlglot.executor.table", "modulename": "sqlglot.executor.table", "kind": "module", "doc": "

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

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

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

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

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

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

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

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

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

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

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

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

Abstract base class for generic types.

\n\n

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

\n\n

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

\n\n

This class can then be used as follows::

\n\n

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

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

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

Expressions

\n\n

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

\n\n

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

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

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

\n\n
Attributes:
\n\n
    \n
  • key: a unique key for each class in the Expression hierarchy. This is useful for hashing\nand representing expressions as strings.
    • \n
  • arg_types: determines what arguments (child nodes) are supported by an expression. It\nmaps arg keys to booleans that indicate whether the corresponding args are optional.
    • \n
  • parent: a reference to the parent expression (or None, in case of root expressions).
    • \n
  • arg_key: the arg key an expression is associated with, i.e. the name its parent expression\nuses to refer to it.
    • \n
  • comments: a list of comments that are associated with a given expression. This is used in\norder to preserve comments when transpiling SQL code.
    • \n
  • _type: the sqlglot.expressions.DataType type of an expression. This is inferred by the\noptimizer, in order to enable some transformations that require type information.
    • \n
\n\n
Example:
\n\n
\n
\n
>>> class Foo(Expression):\n...     arg_types = {"this": True, "expression": False}\n
\n
\n \n

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

\n
\n\n
Arguments:
\n\n
    \n
  • args: a mapping used for retrieving the arguments of an expression, given their arg keys.
    • \n
\n"}, "sqlglot.expressions.Expression.__init__": {"fullname": "sqlglot.expressions.Expression.__init__", "modulename": "sqlglot.expressions", "qualname": "Expression.__init__", "kind": "function", "doc": "

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

Retrieves the argument with key \"this\".

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

Retrieves the argument with key \"expression\".

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

Retrieves the argument with key \"expressions\".

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

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

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

Checks whether a Literal expression is a string.

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

Checks whether a Literal expression is a number.

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

Checks whether a Literal expression is an integer.

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

Checks whether an expression is a star.

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

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

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

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

\n\n

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

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

Returns a deep copy of the expression.

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

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

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

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the list expression arg
    • \n
  • value (Any): value to append to the list
    • \n
\n", "signature": "(self, arg_key: str, value: Any) -> None:", "funcdef": "def"}, "sqlglot.expressions.Expression.set": {"fullname": "sqlglot.expressions.Expression.set", "modulename": "sqlglot.expressions", "qualname": "Expression.set", "kind": "function", "doc": "

Sets arg_key to value.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the expression arg.
    • \n
  • value: value to set the arg to.
    • \n
\n", "signature": "(self, arg_key: str, value: Any) -> None:", "funcdef": "def"}, "sqlglot.expressions.Expression.depth": {"fullname": "sqlglot.expressions.Expression.depth", "modulename": "sqlglot.expressions", "qualname": "Expression.depth", "kind": "variable", "doc": "

Returns the depth of this tree.

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

Yields the key and expression for all arguments, exploding list args.

\n", "signature": "(self) -> Iterator[Tuple[str, sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find": {"fullname": "sqlglot.expressions.Expression.find", "modulename": "sqlglot.expressions", "qualname": "Expression.find", "kind": "function", "doc": "

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

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
  • bfs: whether to search the AST using the BFS algorithm (DFS is used if false).
    • \n
\n\n
Returns:
\n\n
\n

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

\n
\n", "signature": "(self, *expression_types: Type[~E], bfs: bool = True) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_all": {"fullname": "sqlglot.expressions.Expression.find_all", "modulename": "sqlglot.expressions", "qualname": "Expression.find_all", "kind": "function", "doc": "

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

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
  • bfs: whether to search the AST using the BFS algorithm (DFS is used if false).
    • \n
\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, *expression_types: Type[~E], bfs: bool = True) -> Iterator[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_ancestor": {"fullname": "sqlglot.expressions.Expression.find_ancestor", "modulename": "sqlglot.expressions", "qualname": "Expression.find_ancestor", "kind": "function", "doc": "

Returns a nearest parent matching expression_types.

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

The parent node.

\n
\n", "signature": "(self, *expression_types: Type[~E]) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.parent_select": {"fullname": "sqlglot.expressions.Expression.parent_select", "modulename": "sqlglot.expressions", "qualname": "Expression.parent_select", "kind": "variable", "doc": "

Returns the parent select statement.

\n", "annotation": ": Optional[sqlglot.expressions.Select]"}, "sqlglot.expressions.Expression.same_parent": {"fullname": "sqlglot.expressions.Expression.same_parent", "modulename": "sqlglot.expressions", "qualname": "Expression.same_parent", "kind": "variable", "doc": "

Returns if the parent is the same class as itself.

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

Returns the root expression of this tree.

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

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

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

the generator object.

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

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

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

The generator object.

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

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

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

The generator object.

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

Returns the first non parenthesis child or self.

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

Returns the inner expression if this is an Alias.

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

Returns unnested operands as a tuple.

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

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

\n\n

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

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

Returns SQL string representation of this tree.

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

The SQL string.

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

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

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

The transformed tree.

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

Swap out this expression with a new expression.

\n\n

For example::

\n\n
>>> tree = Select().select(\"x\").from_(\"tbl\")\n>>> tree.find(Column).replace(Column(this=\"y\"))\n(COLUMN this: y)\n>>> tree.sql()\n'SELECT y FROM tbl'\n
\n\n
Arguments:
\n\n
    \n
  • expression: new node
    • \n
\n\n
Returns:
\n\n
\n

The new expression or expressions.

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

Remove this expression from its AST.

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

The popped expression.

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

Assert that this Expression is an instance of type_.

\n\n

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

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

This is useful for type security in chained expressions:

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

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

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

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

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

Dump this Expression to a JSON-serializable dict.

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

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

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

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

AND this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").and_("y=1").sql()\n'x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy the involved expressions (only applies to Expressions).
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new And condition.

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

OR this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").or_("y=1").sql()\n'x = 1 OR y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy the involved expressions (only applies to Expressions).
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Or condition.

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

Wrap this condition with NOT.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").not_().sql()\n'NOT x = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • copy: whether or not to copy this object.
    • \n
\n\n
Returns:
\n\n
\n

The new Not instance.

\n
\n", "signature": "(self, copy: bool = True):", "funcdef": "def"}, "sqlglot.expressions.Condition.as_": {"fullname": "sqlglot.expressions.Condition.as_", "modulename": "sqlglot.expressions", "qualname": "Condition.as_", "kind": "function", "doc": "

\n", "signature": "(\tself,\talias: str | sqlglot.expressions.Identifier,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Alias:", "funcdef": "def"}, "sqlglot.expressions.Condition.isin": {"fullname": "sqlglot.expressions.Condition.isin", "modulename": "sqlglot.expressions", "qualname": "Condition.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Any,\tquery: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.In:", "funcdef": "def"}, "sqlglot.expressions.Condition.between": {"fullname": "sqlglot.expressions.Condition.between", "modulename": "sqlglot.expressions", "qualname": "Condition.between", "kind": "function", "doc": "

\n", "signature": "(\tself,\tlow: Any,\thigh: Any,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Between:", "funcdef": "def"}, "sqlglot.expressions.Condition.is_": {"fullname": "sqlglot.expressions.Condition.is_", "modulename": "sqlglot.expressions", "qualname": "Condition.is_", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.Is:", "funcdef": "def"}, "sqlglot.expressions.Condition.like": {"fullname": "sqlglot.expressions.Condition.like", "modulename": "sqlglot.expressions", "qualname": "Condition.like", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.Like:", "funcdef": "def"}, "sqlglot.expressions.Condition.ilike": {"fullname": "sqlglot.expressions.Condition.ilike", "modulename": "sqlglot.expressions", "qualname": "Condition.ilike", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.ILike:", "funcdef": "def"}, "sqlglot.expressions.Condition.eq": {"fullname": "sqlglot.expressions.Condition.eq", "modulename": "sqlglot.expressions", "qualname": "Condition.eq", "kind": "function", "doc": "

\n", "signature": "(self, other: Any) -> sqlglot.expressions.EQ:", "funcdef": "def"}, "sqlglot.expressions.Condition.neq": {"fullname": "sqlglot.expressions.Condition.neq", "modulename": "sqlglot.expressions", "qualname": "Condition.neq", "kind": "function", "doc": "

\n", "signature": "(self, other: Any) -> sqlglot.expressions.NEQ:", "funcdef": "def"}, "sqlglot.expressions.Condition.rlike": {"fullname": "sqlglot.expressions.Condition.rlike", "modulename": "sqlglot.expressions", "qualname": "Condition.rlike", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.RegexpLike:", "funcdef": "def"}, "sqlglot.expressions.Predicate": {"fullname": "sqlglot.expressions.Predicate", "modulename": "sqlglot.expressions", "qualname": "Predicate", "kind": "class", "doc": "

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

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

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

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

Builds a UNION expression.

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

The new Union expression.

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

Builds an INTERSECT expression.

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

The new Intersect expression.

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

Builds an EXCEPT expression.

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

The new Except expression.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

\n\n

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

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

Return the parts of a column in order catalog, db, table, name.

\n", "annotation": ": List[sqlglot.expressions.Identifier]"}, "sqlglot.expressions.Column.to_dot": {"fullname": "sqlglot.expressions.Column.to_dot", "modulename": "sqlglot.expressions", "qualname": "Column.to_dot", "kind": "function", "doc": "

Converts the column into a dot expression.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

Create a DELETE expression or replace the table on an existing DELETE expression.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").sql()\n'DELETE FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • table: the table from which to delete.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

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

Append to or set the WHERE expressions.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").where("x = 'a' OR x < 'b'").sql()\n"DELETE FROM tbl WHERE x = 'a' OR x < 'b'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

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

Set the RETURNING expression. Not supported by all dialects.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").returning("*", dialect="postgres").sql()\n'DELETE FROM tbl RETURNING *'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

\n\n

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

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

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

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

Append to or set the common table expressions.

\n\n
Example:
\n\n
\n
\n
>>> insert("SELECT x FROM cte", "t").with_("cte", as_="SELECT * FROM tbl").sql()\n'WITH cte AS (SELECT * FROM tbl) INSERT INTO t SELECT x FROM cte'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias: the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • as_: the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • recursive: set the RECURSIVE part of the expression. Defaults to False.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression],\tas_: Union[str, sqlglot.expressions.Expression],\trecursive: Optional[bool] = None,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Insert:", "funcdef": "def"}, "sqlglot.expressions.OnConflict": {"fullname": "sqlglot.expressions.OnConflict", "modulename": "sqlglot.expressions", "qualname": "OnConflict", "kind": "class", "doc": "

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

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

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

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

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

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

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

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

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

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

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

\n", "signature": "(cls, number) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.string": {"fullname": "sqlglot.expressions.Literal.string", "modulename": "sqlglot.expressions", "qualname": "Literal.string", "kind": "function", "doc": "

\n", "signature": "(cls, string) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.output_name": {"fullname": "sqlglot.expressions.Literal.output_name", "modulename": "sqlglot.expressions", "qualname": "Literal.output_name", "kind": "variable", "doc": "

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

\n\n

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

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

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

Append to or set the ON expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()\n'JOIN x ON y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Join expression.

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

Append to or set the USING expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()\n'JOIN x USING (foo, bla)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, concatenate the new expressions to the existing \"using\" list.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Join expression.

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"fullname": "sqlglot.expressions.Properties.Location.POST_CREATE", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_CREATE", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_CREATE: 'POST_CREATE'>"}, "sqlglot.expressions.Properties.Location.POST_NAME": {"fullname": "sqlglot.expressions.Properties.Location.POST_NAME", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_NAME", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_NAME: 'POST_NAME'>"}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"fullname": "sqlglot.expressions.Properties.Location.POST_SCHEMA", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_SCHEMA: 'POST_SCHEMA'>"}, "sqlglot.expressions.Properties.Location.POST_WITH": {"fullname": "sqlglot.expressions.Properties.Location.POST_WITH", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_WITH", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_WITH: 'POST_WITH'>"}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"fullname": "sqlglot.expressions.Properties.Location.POST_ALIAS", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_ALIAS", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_ALIAS: 'POST_ALIAS'>"}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"fullname": "sqlglot.expressions.Properties.Location.POST_EXPRESSION", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_EXPRESSION", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_EXPRESSION: 'POST_EXPRESSION'>"}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"fullname": "sqlglot.expressions.Properties.Location.POST_INDEX", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_INDEX", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_INDEX: 'POST_INDEX'>"}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"fullname": "sqlglot.expressions.Properties.Location.UNSUPPORTED", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.UNSUPPORTED", "kind": "variable", "doc": "

\n", "default_value": "<Location.UNSUPPORTED: 'UNSUPPORTED'>"}, "sqlglot.expressions.Properties.from_dict": {"fullname": "sqlglot.expressions.Properties.from_dict", "modulename": "sqlglot.expressions", "qualname": "Properties.from_dict", "kind": "function", "doc": "

\n", "signature": "(cls, properties_dict: Dict) -> sqlglot.expressions.Properties:", "funcdef": "def"}, "sqlglot.expressions.Qualify": {"fullname": "sqlglot.expressions.Qualify", "modulename": "sqlglot.expressions", "qualname": "Qualify", "kind": "class", "doc": "

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

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

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

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

\n", "signature": "(\tself,\t*expressions: Any,\tquery: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.In:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable": {"fullname": "sqlglot.expressions.Subqueryable", "modulename": "sqlglot.expressions", "qualname": "Subqueryable", "kind": "class", "doc": "

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

Convert this expression to an aliased expression that can be used as a Subquery.

\n\n
Example:
\n\n
\n
\n
>>> subquery = Select().select("x").from_("tbl").subquery()\n>>> Select().select("x").from_(subquery).sql()\n'SELECT x FROM (SELECT x FROM tbl)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias (str | Identifier): an optional alias for the subquery
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

Alias: the subquery

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy: bool = True) -> sqlglot.expressions.Subquery:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.limit": {"fullname": "sqlglot.expressions.Subqueryable.limit", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.limit", "kind": "function", "doc": "

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

Append to or set the common table expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()\n'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias: the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • as_: the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • recursive: set the RECURSIVE part of the expression. Defaults to False.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression],\tas_: Union[str, sqlglot.expressions.Expression],\trecursive: Optional[bool] = None,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Subqueryable:", "funcdef": "def"}, "sqlglot.expressions.Table": {"fullname": "sqlglot.expressions.Table", "modulename": "sqlglot.expressions", "qualname": "Table", "kind": "class", "doc": "

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

Return the parts of a table in order catalog, db, table.

\n", "annotation": ": List[sqlglot.expressions.Identifier]"}, "sqlglot.expressions.SystemTime": {"fullname": "sqlglot.expressions.SystemTime", "modulename": "sqlglot.expressions", "qualname": "SystemTime", "kind": "class", "doc": "

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

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Union.limit": {"fullname": "sqlglot.expressions.Union.limit", "modulename": "sqlglot.expressions", "qualname": "Union.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> select("1").union(select("1")).limit(1).sql()\n'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The limited subqueryable.

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

Append to or set the SELECT of the union recursively.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("select a from x union select a from y union select a from z").select("b").sql()\n'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Union: the modified expression.

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

Checks whether an expression is a star.

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

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

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

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

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

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

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

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

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

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Select.from_": {"fullname": "sqlglot.expressions.Select.from_", "modulename": "sqlglot.expressions", "qualname": "Select.from_", "kind": "function", "doc": "

Set the FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sql()\n'SELECT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression : the SQL code strings to parse.\nIf a From instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a From.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

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

Set the GROUP BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()\n'SELECT x, COUNT(1) FROM tbl GROUP BY x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Group.\nIf nothing is passed in then a group by is not applied to the expression
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Group expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

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

Set the ORDER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").order_by("x DESC").sql()\n'SELECT x FROM tbl ORDER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Order.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

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

Set the SORT BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")\n'SELECT x FROM tbl SORT BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a SORT.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

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

Set the CLUSTER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")\n'SELECT x FROM tbl CLUSTER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Cluster.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

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

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").limit(10).sql()\n'SELECT x FROM tbl LIMIT 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

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

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").offset(10).sql()\n'SELECT x FROM tbl OFFSET 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nThis can also be an integer.\nIf a Offset instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Offset.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

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

Append to or set the SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "y").sql()\n'SELECT x, y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

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

Append to or set the LATERAL expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()\n'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

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

Append to or set the JOIN expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()\n'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n \n
\n
>>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()\n'SELECT 1 FROM a JOIN b USING (x, y, z)'\n
\n
\n \n

Use join_type to change the type of join:

\n \n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()\n'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • on: optionally specify the join \"on\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • using: optionally specify the join \"using\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • join_type: if set, alter the parsed join type.
    • \n
  • join_alias: an optional alias for the joined source.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\ton: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tusing: Union[str, sqlglot.expressions.Expression, List[Union[str, sqlglot.expressions.Expression]], NoneType] = None,\tappend: bool = True,\tjoin_type: Optional[str] = None,\tjoin_alias: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.where": {"fullname": "sqlglot.expressions.Select.where", "modulename": "sqlglot.expressions", "qualname": "Select.where", "kind": "function", "doc": "

Append to or set the WHERE expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()\n"SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

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

Append to or set the HAVING expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()\n'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

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

\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.qualify": {"fullname": "sqlglot.expressions.Select.qualify", "modulename": "sqlglot.expressions", "qualname": "Select.qualify", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.distinct": {"fullname": "sqlglot.expressions.Select.distinct", "modulename": "sqlglot.expressions", "qualname": "Select.distinct", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").distinct().sql()\n'SELECT DISTINCT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • ons: the expressions to distinct on
    • \n
  • distinct: whether the Select should be distinct
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*ons: Union[str, sqlglot.expressions.Expression, NoneType],\tdistinct: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.ctas": {"fullname": "sqlglot.expressions.Select.ctas", "modulename": "sqlglot.expressions", "qualname": "Select.ctas", "kind": "function", "doc": "

Convert this expression to a CREATE TABLE AS statement.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").ctas("x").sql()\n'CREATE TABLE x AS SELECT * FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • table: the SQL code string to parse as the table name.\nIf another Expression instance is passed, it will be used as-is.
    • \n
  • properties: an optional mapping of table properties
    • \n
  • dialect: the dialect used to parse the input table.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input table.
    • \n
\n\n
Returns:
\n\n
\n

The new Create expression.

\n
\n", "signature": "(\tself,\ttable: Union[str, sqlglot.expressions.Expression],\tproperties: Optional[Dict] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Create:", "funcdef": "def"}, "sqlglot.expressions.Select.lock": {"fullname": "sqlglot.expressions.Select.lock", "modulename": "sqlglot.expressions", "qualname": "Select.lock", "kind": "function", "doc": "

Set the locking read mode for this expression.

\n\n
Examples:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"\n
\n
\n \n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR SHARE"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • update: if True, the locking type will be FOR UPDATE, else it will be FOR SHARE.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\tupdate: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.hint": {"fullname": "sqlglot.expressions.Select.hint", "modulename": "sqlglot.expressions", "qualname": "Select.hint", "kind": "function", "doc": "

Set hints for this expression.

\n\n
Examples:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").hint("BROADCAST(y)").sql(dialect="spark")\n'SELECT /*+ BROADCAST(y) */ x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • hints: The SQL code strings to parse as the hints.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: The dialect used to parse the hints.
    • \n
  • copy: If False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\t*hints: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.is_star": {"fullname": "sqlglot.expressions.Select.is_star", "modulename": "sqlglot.expressions", "qualname": "Select.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery": {"fullname": "sqlglot.expressions.Subquery", "modulename": "sqlglot.expressions", "qualname": "Subquery", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Subquery.unnest": {"fullname": "sqlglot.expressions.Subquery.unnest", "modulename": "sqlglot.expressions", "qualname": "Subquery.unnest", "kind": "function", "doc": "

Returns the first non subquery.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Subquery.is_star": {"fullname": "sqlglot.expressions.Subquery.is_star", "modulename": "sqlglot.expressions", "qualname": "Subquery.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery.output_name": {"fullname": "sqlglot.expressions.Subquery.output_name", "modulename": "sqlglot.expressions", "qualname": "Subquery.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.TableSample": {"fullname": "sqlglot.expressions.TableSample", "modulename": "sqlglot.expressions", "qualname": "TableSample", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tag": {"fullname": "sqlglot.expressions.Tag", "modulename": "sqlglot.expressions", "qualname": "Tag", "kind": "class", "doc": "

Tags are used for generating arbitrary sql like SELECT x.

\n", "bases": "Expression"}, "sqlglot.expressions.Pivot": {"fullname": "sqlglot.expressions.Pivot", "modulename": "sqlglot.expressions", "qualname": "Pivot", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Window": {"fullname": "sqlglot.expressions.Window", "modulename": "sqlglot.expressions", "qualname": "Window", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WindowSpec": {"fullname": "sqlglot.expressions.WindowSpec", "modulename": "sqlglot.expressions", "qualname": "WindowSpec", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Where": {"fullname": "sqlglot.expressions.Where", "modulename": "sqlglot.expressions", "qualname": "Where", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star": {"fullname": "sqlglot.expressions.Star", "modulename": "sqlglot.expressions", "qualname": "Star", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star.output_name": {"fullname": "sqlglot.expressions.Star.output_name", "modulename": "sqlglot.expressions", "qualname": "Star.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Parameter": {"fullname": "sqlglot.expressions.Parameter", "modulename": "sqlglot.expressions", "qualname": "Parameter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SessionParameter": {"fullname": "sqlglot.expressions.SessionParameter", "modulename": "sqlglot.expressions", "qualname": "SessionParameter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Placeholder": {"fullname": "sqlglot.expressions.Placeholder", "modulename": "sqlglot.expressions", "qualname": "Placeholder", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Null": {"fullname": "sqlglot.expressions.Null", "modulename": "sqlglot.expressions", "qualname": "Null", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Boolean": {"fullname": "sqlglot.expressions.Boolean", "modulename": "sqlglot.expressions", "qualname": "Boolean", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.DataTypeSize": {"fullname": "sqlglot.expressions.DataTypeSize", "modulename": "sqlglot.expressions", "qualname": "DataTypeSize", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DataType": {"fullname": "sqlglot.expressions.DataType", "modulename": "sqlglot.expressions", "qualname": "DataType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DataType.Type": {"fullname": "sqlglot.expressions.DataType.Type", "modulename": "sqlglot.expressions", "qualname": "DataType.Type", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.DataType.Type.ARRAY": {"fullname": "sqlglot.expressions.DataType.Type.ARRAY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ARRAY", "kind": "variable", "doc": "

\n", "default_value": "<Type.ARRAY: 'ARRAY'>"}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGDECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGDECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGDECIMAL: 'BIGDECIMAL'>"}, "sqlglot.expressions.DataType.Type.BIGINT": {"fullname": "sqlglot.expressions.DataType.Type.BIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGINT: 'BIGINT'>"}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.expressions.DataType.Type.BINARY": {"fullname": "sqlglot.expressions.DataType.Type.BINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.BINARY: 'BINARY'>"}, "sqlglot.expressions.DataType.Type.BIT": {"fullname": "sqlglot.expressions.DataType.Type.BIT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIT", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIT: 'BIT'>"}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"fullname": "sqlglot.expressions.DataType.Type.BOOLEAN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<Type.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.expressions.DataType.Type.CHAR": {"fullname": "sqlglot.expressions.DataType.Type.CHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.CHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.CHAR: 'CHAR'>"}, "sqlglot.expressions.DataType.Type.DATE": {"fullname": "sqlglot.expressions.DataType.Type.DATE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATE: 'DATE'>"}, "sqlglot.expressions.DataType.Type.DATETIME": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATETIME: 'DATETIME'>"}, "sqlglot.expressions.DataType.Type.DATETIME64": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME64", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME64", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATETIME64: 'DATETIME64'>"}, "sqlglot.expressions.DataType.Type.ENUM": {"fullname": "sqlglot.expressions.DataType.Type.ENUM", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ENUM", "kind": "variable", "doc": "

\n", "default_value": "<Type.ENUM: 'ENUM'>"}, "sqlglot.expressions.DataType.Type.INT4RANGE": {"fullname": "sqlglot.expressions.DataType.Type.INT4RANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT4RANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT4RANGE: 'INT4RANGE'>"}, "sqlglot.expressions.DataType.Type.INT4MULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.INT4MULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT4MULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT4MULTIRANGE: 'INT4MULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.INT8RANGE": {"fullname": "sqlglot.expressions.DataType.Type.INT8RANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT8RANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT8RANGE: 'INT8RANGE'>"}, "sqlglot.expressions.DataType.Type.INT8MULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.INT8MULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT8MULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT8MULTIRANGE: 'INT8MULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.NUMRANGE": {"fullname": "sqlglot.expressions.DataType.Type.NUMRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NUMRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.NUMRANGE: 'NUMRANGE'>"}, "sqlglot.expressions.DataType.Type.NUMMULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.NUMMULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NUMMULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.NUMMULTIRANGE: 'NUMMULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.TSRANGE": {"fullname": "sqlglot.expressions.DataType.Type.TSRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TSRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.TSRANGE: 'TSRANGE'>"}, "sqlglot.expressions.DataType.Type.TSMULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.TSMULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TSMULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.TSMULTIRANGE: 'TSMULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.TSTZRANGE": {"fullname": "sqlglot.expressions.DataType.Type.TSTZRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TSTZRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.TSTZRANGE: 'TSTZRANGE'>"}, "sqlglot.expressions.DataType.Type.TSTZMULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.TSTZMULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TSTZMULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.DATERANGE": {"fullname": "sqlglot.expressions.DataType.Type.DATERANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATERANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATERANGE: 'DATERANGE'>"}, "sqlglot.expressions.DataType.Type.DATEMULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.DATEMULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATEMULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATEMULTIRANGE: 'DATEMULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.DECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.DECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.DECIMAL: 'DECIMAL'>"}, "sqlglot.expressions.DataType.Type.DOUBLE": {"fullname": "sqlglot.expressions.DataType.Type.DOUBLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DOUBLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DOUBLE: 'DOUBLE'>"}, "sqlglot.expressions.DataType.Type.FLOAT": {"fullname": "sqlglot.expressions.DataType.Type.FLOAT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.FLOAT", "kind": "variable", "doc": "

\n", "default_value": "<Type.FLOAT: 'FLOAT'>"}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"fullname": "sqlglot.expressions.DataType.Type.GEOGRAPHY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOGRAPHY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"fullname": "sqlglot.expressions.DataType.Type.GEOMETRY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOMETRY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"fullname": "sqlglot.expressions.DataType.Type.HLLSKETCH", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HLLSKETCH", "kind": "variable", "doc": "

\n", "default_value": "<Type.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.expressions.DataType.Type.HSTORE": {"fullname": "sqlglot.expressions.DataType.Type.HSTORE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HSTORE", "kind": "variable", "doc": "

\n", "default_value": "<Type.HSTORE: 'HSTORE'>"}, "sqlglot.expressions.DataType.Type.IMAGE": {"fullname": "sqlglot.expressions.DataType.Type.IMAGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.IMAGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.IMAGE: 'IMAGE'>"}, "sqlglot.expressions.DataType.Type.INET": {"fullname": "sqlglot.expressions.DataType.Type.INET", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INET", "kind": "variable", "doc": "

\n", "default_value": "<Type.INET: 'INET'>"}, "sqlglot.expressions.DataType.Type.INT": {"fullname": "sqlglot.expressions.DataType.Type.INT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT: 'INT'>"}, "sqlglot.expressions.DataType.Type.INT128": {"fullname": "sqlglot.expressions.DataType.Type.INT128", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT128", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT128: 'INT128'>"}, "sqlglot.expressions.DataType.Type.INT256": {"fullname": "sqlglot.expressions.DataType.Type.INT256", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT256", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT256: 'INT256'>"}, "sqlglot.expressions.DataType.Type.INTERVAL": {"fullname": "sqlglot.expressions.DataType.Type.INTERVAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INTERVAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.INTERVAL: 'INTERVAL'>"}, "sqlglot.expressions.DataType.Type.JSON": {"fullname": "sqlglot.expressions.DataType.Type.JSON", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSON", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSON: 'JSON'>"}, "sqlglot.expressions.DataType.Type.JSONB": {"fullname": "sqlglot.expressions.DataType.Type.JSONB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSONB", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSONB: 'JSONB'>"}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"fullname": "sqlglot.expressions.DataType.Type.LONGBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"fullname": "sqlglot.expressions.DataType.Type.LONGTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.expressions.DataType.Type.MAP": {"fullname": "sqlglot.expressions.DataType.Type.MAP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MAP", "kind": "variable", "doc": "

\n", "default_value": "<Type.MAP: 'MAP'>"}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.expressions.DataType.Type.MONEY": {"fullname": "sqlglot.expressions.DataType.Type.MONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.MONEY: 'MONEY'>"}, "sqlglot.expressions.DataType.Type.NCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NCHAR: 'NCHAR'>"}, "sqlglot.expressions.DataType.Type.NULL": {"fullname": "sqlglot.expressions.DataType.Type.NULL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULL", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULL: 'NULL'>"}, "sqlglot.expressions.DataType.Type.NULLABLE": {"fullname": "sqlglot.expressions.DataType.Type.NULLABLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULLABLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULLABLE: 'NULLABLE'>"}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NVARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NVARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.expressions.DataType.Type.OBJECT": {"fullname": "sqlglot.expressions.DataType.Type.OBJECT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.OBJECT", "kind": "variable", "doc": "

\n", "default_value": "<Type.OBJECT: 'OBJECT'>"}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"fullname": "sqlglot.expressions.DataType.Type.ROWVERSION", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ROWVERSION", "kind": "variable", "doc": "

\n", "default_value": "<Type.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.expressions.DataType.Type.SERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SERIAL: 'SERIAL'>"}, "sqlglot.expressions.DataType.Type.SET": {"fullname": "sqlglot.expressions.DataType.Type.SET", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SET", "kind": "variable", "doc": "

\n", "default_value": "<Type.SET: 'SET'>"}, "sqlglot.expressions.DataType.Type.SMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.SMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLINT: 'SMALLINT'>"}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"fullname": "sqlglot.expressions.DataType.Type.SMALLMONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLMONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SMALLSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.expressions.DataType.Type.STRUCT": {"fullname": "sqlglot.expressions.DataType.Type.STRUCT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<Type.STRUCT: 'STRUCT'>"}, "sqlglot.expressions.DataType.Type.SUPER": {"fullname": "sqlglot.expressions.DataType.Type.SUPER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SUPER", "kind": "variable", "doc": "

\n", "default_value": "<Type.SUPER: 'SUPER'>"}, "sqlglot.expressions.DataType.Type.TEXT": {"fullname": "sqlglot.expressions.DataType.Type.TEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TEXT: 'TEXT'>"}, "sqlglot.expressions.DataType.Type.TIME": {"fullname": "sqlglot.expressions.DataType.Type.TIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIME: 'TIME'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPLTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.expressions.DataType.Type.TINYINT": {"fullname": "sqlglot.expressions.DataType.Type.TINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TINYINT: 'TINYINT'>"}, "sqlglot.expressions.DataType.Type.UBIGINT": {"fullname": "sqlglot.expressions.DataType.Type.UBIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UBIGINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UBIGINT: 'UBIGINT'>"}, "sqlglot.expressions.DataType.Type.UINT": {"fullname": "sqlglot.expressions.DataType.Type.UINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT: 'UINT'>"}, "sqlglot.expressions.DataType.Type.USMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.USMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.USMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.USMALLINT: 'USMALLINT'>"}, "sqlglot.expressions.DataType.Type.UTINYINT": {"fullname": "sqlglot.expressions.DataType.Type.UTINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UTINYINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UTINYINT: 'UTINYINT'>"}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"fullname": "sqlglot.expressions.DataType.Type.UNKNOWN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNKNOWN", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNKNOWN: 'UNKNOWN'>"}, "sqlglot.expressions.DataType.Type.UINT128": {"fullname": "sqlglot.expressions.DataType.Type.UINT128", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT128", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT128: 'UINT128'>"}, "sqlglot.expressions.DataType.Type.UINT256": {"fullname": "sqlglot.expressions.DataType.Type.UINT256", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT256", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT256: 'UINT256'>"}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"fullname": "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNIQUEIDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.expressions.DataType.Type.UUID": {"fullname": "sqlglot.expressions.DataType.Type.UUID", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UUID", "kind": "variable", "doc": "

\n", "default_value": "<Type.UUID: 'UUID'>"}, "sqlglot.expressions.DataType.Type.VARBINARY": {"fullname": "sqlglot.expressions.DataType.Type.VARBINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARBINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARBINARY: 'VARBINARY'>"}, "sqlglot.expressions.DataType.Type.VARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.VARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARCHAR: 'VARCHAR'>"}, "sqlglot.expressions.DataType.Type.VARIANT": {"fullname": "sqlglot.expressions.DataType.Type.VARIANT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARIANT", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARIANT: 'VARIANT'>"}, "sqlglot.expressions.DataType.Type.XML": {"fullname": "sqlglot.expressions.DataType.Type.XML", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.XML", "kind": "variable", "doc": "

\n", "default_value": "<Type.XML: 'XML'>"}, "sqlglot.expressions.DataType.build": {"fullname": "sqlglot.expressions.DataType.build", "modulename": "sqlglot.expressions", "qualname": "DataType.build", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdtype: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.expressions.DataType.is_type": {"fullname": "sqlglot.expressions.DataType.is_type", "modulename": "sqlglot.expressions", "qualname": "DataType.is_type", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*dtypes: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.PseudoType": {"fullname": "sqlglot.expressions.PseudoType", "modulename": "sqlglot.expressions", "qualname": "PseudoType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SubqueryPredicate": {"fullname": "sqlglot.expressions.SubqueryPredicate", "modulename": "sqlglot.expressions", "qualname": "SubqueryPredicate", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.All": {"fullname": "sqlglot.expressions.All", "modulename": "sqlglot.expressions", "qualname": "All", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Any": {"fullname": "sqlglot.expressions.Any", "modulename": "sqlglot.expressions", "qualname": "Any", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Exists": {"fullname": "sqlglot.expressions.Exists", "modulename": "sqlglot.expressions", "qualname": "Exists", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Command": {"fullname": "sqlglot.expressions.Command", "modulename": "sqlglot.expressions", "qualname": "Command", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Transaction": {"fullname": "sqlglot.expressions.Transaction", "modulename": "sqlglot.expressions", "qualname": "Transaction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Commit": {"fullname": "sqlglot.expressions.Commit", "modulename": "sqlglot.expressions", "qualname": "Commit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Rollback": {"fullname": "sqlglot.expressions.Rollback", "modulename": "sqlglot.expressions", "qualname": "Rollback", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterTable": {"fullname": "sqlglot.expressions.AlterTable", "modulename": "sqlglot.expressions", "qualname": "AlterTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AddConstraint": {"fullname": "sqlglot.expressions.AddConstraint", "modulename": "sqlglot.expressions", "qualname": "AddConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DropPartition": {"fullname": "sqlglot.expressions.DropPartition", "modulename": "sqlglot.expressions", "qualname": "DropPartition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Binary": {"fullname": "sqlglot.expressions.Binary", "modulename": "sqlglot.expressions", "qualname": "Binary", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Add": {"fullname": "sqlglot.expressions.Add", "modulename": "sqlglot.expressions", "qualname": "Add", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Connector": {"fullname": "sqlglot.expressions.Connector", "modulename": "sqlglot.expressions", "qualname": "Connector", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.And": {"fullname": "sqlglot.expressions.And", "modulename": "sqlglot.expressions", "qualname": "And", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.Or": {"fullname": "sqlglot.expressions.Or", "modulename": "sqlglot.expressions", "qualname": "Or", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.BitwiseAnd": {"fullname": "sqlglot.expressions.BitwiseAnd", "modulename": "sqlglot.expressions", "qualname": "BitwiseAnd", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseLeftShift": {"fullname": "sqlglot.expressions.BitwiseLeftShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseLeftShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseOr": {"fullname": "sqlglot.expressions.BitwiseOr", "modulename": "sqlglot.expressions", "qualname": "BitwiseOr", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseRightShift": {"fullname": "sqlglot.expressions.BitwiseRightShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseRightShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseXor": {"fullname": "sqlglot.expressions.BitwiseXor", "modulename": "sqlglot.expressions", "qualname": "BitwiseXor", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Div": {"fullname": "sqlglot.expressions.Div", "modulename": "sqlglot.expressions", "qualname": "Div", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Overlaps": {"fullname": "sqlglot.expressions.Overlaps", "modulename": "sqlglot.expressions", "qualname": "Overlaps", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Dot": {"fullname": "sqlglot.expressions.Dot", "modulename": "sqlglot.expressions", "qualname": "Dot", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Dot.output_name": {"fullname": "sqlglot.expressions.Dot.output_name", "modulename": "sqlglot.expressions", "qualname": "Dot.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Dot.build": {"fullname": "sqlglot.expressions.Dot.build", "modulename": "sqlglot.expressions", "qualname": "Dot.build", "kind": "function", "doc": "

Build a Dot object with a sequence of expressions.

\n", "signature": "(\tself,\texpressions: Sequence[sqlglot.expressions.Expression]) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.DPipe": {"fullname": "sqlglot.expressions.DPipe", "modulename": "sqlglot.expressions", "qualname": "DPipe", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.SafeDPipe": {"fullname": "sqlglot.expressions.SafeDPipe", "modulename": "sqlglot.expressions", "qualname": "SafeDPipe", "kind": "class", "doc": "

\n", "bases": "DPipe"}, "sqlglot.expressions.EQ": {"fullname": "sqlglot.expressions.EQ", "modulename": "sqlglot.expressions", "qualname": "EQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeEQ": {"fullname": "sqlglot.expressions.NullSafeEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeNEQ": {"fullname": "sqlglot.expressions.NullSafeNEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeNEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Distance": {"fullname": "sqlglot.expressions.Distance", "modulename": "sqlglot.expressions", "qualname": "Distance", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Escape": {"fullname": "sqlglot.expressions.Escape", "modulename": "sqlglot.expressions", "qualname": "Escape", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Glob": {"fullname": "sqlglot.expressions.Glob", "modulename": "sqlglot.expressions", "qualname": "Glob", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GT": {"fullname": "sqlglot.expressions.GT", "modulename": "sqlglot.expressions", "qualname": "GT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GTE": {"fullname": "sqlglot.expressions.GTE", "modulename": "sqlglot.expressions", "qualname": "GTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILike": {"fullname": "sqlglot.expressions.ILike", "modulename": "sqlglot.expressions", "qualname": "ILike", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILikeAny": {"fullname": "sqlglot.expressions.ILikeAny", "modulename": "sqlglot.expressions", "qualname": "ILikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.IntDiv": {"fullname": "sqlglot.expressions.IntDiv", "modulename": "sqlglot.expressions", "qualname": "IntDiv", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Is": {"fullname": "sqlglot.expressions.Is", "modulename": "sqlglot.expressions", "qualname": "Is", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Kwarg": {"fullname": "sqlglot.expressions.Kwarg", "modulename": "sqlglot.expressions", "qualname": "Kwarg", "kind": "class", "doc": "

Kwarg in special functions like func(kwarg => y).

\n", "bases": "Binary"}, "sqlglot.expressions.Like": {"fullname": "sqlglot.expressions.Like", "modulename": "sqlglot.expressions", "qualname": "Like", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LikeAny": {"fullname": "sqlglot.expressions.LikeAny", "modulename": "sqlglot.expressions", "qualname": "LikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LT": {"fullname": "sqlglot.expressions.LT", "modulename": "sqlglot.expressions", "qualname": "LT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LTE": {"fullname": "sqlglot.expressions.LTE", "modulename": "sqlglot.expressions", "qualname": "LTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Mod": {"fullname": "sqlglot.expressions.Mod", "modulename": "sqlglot.expressions", "qualname": "Mod", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Mul": {"fullname": "sqlglot.expressions.Mul", "modulename": "sqlglot.expressions", "qualname": "Mul", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.NEQ": {"fullname": "sqlglot.expressions.NEQ", "modulename": "sqlglot.expressions", "qualname": "NEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.SimilarTo": {"fullname": "sqlglot.expressions.SimilarTo", "modulename": "sqlglot.expressions", "qualname": "SimilarTo", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Slice": {"fullname": "sqlglot.expressions.Slice", "modulename": "sqlglot.expressions", "qualname": "Slice", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Sub": {"fullname": "sqlglot.expressions.Sub", "modulename": "sqlglot.expressions", "qualname": "Sub", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.ArrayOverlaps": {"fullname": "sqlglot.expressions.ArrayOverlaps", "modulename": "sqlglot.expressions", "qualname": "ArrayOverlaps", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Unary": {"fullname": "sqlglot.expressions.Unary", "modulename": "sqlglot.expressions", "qualname": "Unary", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.BitwiseNot": {"fullname": "sqlglot.expressions.BitwiseNot", "modulename": "sqlglot.expressions", "qualname": "BitwiseNot", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Not": {"fullname": "sqlglot.expressions.Not", "modulename": "sqlglot.expressions", "qualname": "Not", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Paren": {"fullname": "sqlglot.expressions.Paren", "modulename": "sqlglot.expressions", "qualname": "Paren", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Paren.output_name": {"fullname": "sqlglot.expressions.Paren.output_name", "modulename": "sqlglot.expressions", "qualname": "Paren.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Neg": {"fullname": "sqlglot.expressions.Neg", "modulename": "sqlglot.expressions", "qualname": "Neg", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Alias": {"fullname": "sqlglot.expressions.Alias", "modulename": "sqlglot.expressions", "qualname": "Alias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Alias.output_name": {"fullname": "sqlglot.expressions.Alias.output_name", "modulename": "sqlglot.expressions", "qualname": "Alias.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Aliases": {"fullname": "sqlglot.expressions.Aliases", "modulename": "sqlglot.expressions", "qualname": "Aliases", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AtTimeZone": {"fullname": "sqlglot.expressions.AtTimeZone", "modulename": "sqlglot.expressions", "qualname": "AtTimeZone", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Between": {"fullname": "sqlglot.expressions.Between", "modulename": "sqlglot.expressions", "qualname": "Between", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.Bracket": {"fullname": "sqlglot.expressions.Bracket", "modulename": "sqlglot.expressions", "qualname": "Bracket", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Distinct": {"fullname": "sqlglot.expressions.Distinct", "modulename": "sqlglot.expressions", "qualname": "Distinct", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.In": {"fullname": "sqlglot.expressions.In", "modulename": "sqlglot.expressions", "qualname": "In", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.TimeUnit": {"fullname": "sqlglot.expressions.TimeUnit", "modulename": "sqlglot.expressions", "qualname": "TimeUnit", "kind": "class", "doc": "

Automatically converts unit arg into a var.

\n", "bases": "Expression"}, "sqlglot.expressions.TimeUnit.__init__": {"fullname": "sqlglot.expressions.TimeUnit.__init__", "modulename": "sqlglot.expressions", "qualname": "TimeUnit.__init__", "kind": "function", "doc": "

\n", "signature": "(**args)"}, "sqlglot.expressions.Interval": {"fullname": "sqlglot.expressions.Interval", "modulename": "sqlglot.expressions", "qualname": "Interval", "kind": "class", "doc": "

\n", "bases": "TimeUnit"}, "sqlglot.expressions.IgnoreNulls": {"fullname": "sqlglot.expressions.IgnoreNulls", "modulename": "sqlglot.expressions", "qualname": "IgnoreNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RespectNulls": {"fullname": "sqlglot.expressions.RespectNulls", "modulename": "sqlglot.expressions", "qualname": "RespectNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Func": {"fullname": "sqlglot.expressions.Func", "modulename": "sqlglot.expressions", "qualname": "Func", "kind": "class", "doc": "

The base class for all function expressions.

\n\n
Attributes:
\n\n
    \n
  • is_var_len_args (bool): if set to True the last argument defined in arg_types will be\ntreated as a variable length argument and the argument's value will be stored as a list.
    • \n
  • _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)\nfor this function expression. These values are used to map this node to a name during parsing\nas well as to provide the function's name during SQL string generation. By default the SQL\nname is set to the expression's class name transformed to snake case.
    • \n
\n", "bases": "Condition"}, "sqlglot.expressions.Func.from_arg_list": {"fullname": "sqlglot.expressions.Func.from_arg_list", "modulename": "sqlglot.expressions", "qualname": "Func.from_arg_list", "kind": "function", "doc": "

\n", "signature": "(cls, args):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_names": {"fullname": "sqlglot.expressions.Func.sql_names", "modulename": "sqlglot.expressions", "qualname": "Func.sql_names", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_name": {"fullname": "sqlglot.expressions.Func.sql_name", "modulename": "sqlglot.expressions", "qualname": "Func.sql_name", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.default_parser_mappings": {"fullname": "sqlglot.expressions.Func.default_parser_mappings", "modulename": "sqlglot.expressions", "qualname": "Func.default_parser_mappings", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.AggFunc": {"fullname": "sqlglot.expressions.AggFunc", "modulename": "sqlglot.expressions", "qualname": "AggFunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ParameterizedAgg": {"fullname": "sqlglot.expressions.ParameterizedAgg", "modulename": "sqlglot.expressions", "qualname": "ParameterizedAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Abs": {"fullname": "sqlglot.expressions.Abs", "modulename": "sqlglot.expressions", "qualname": "Abs", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Anonymous": {"fullname": "sqlglot.expressions.Anonymous", "modulename": "sqlglot.expressions", "qualname": "Anonymous", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Hll": {"fullname": "sqlglot.expressions.Hll", "modulename": "sqlglot.expressions", "qualname": "Hll", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxDistinct": {"fullname": "sqlglot.expressions.ApproxDistinct", "modulename": "sqlglot.expressions", "qualname": "ApproxDistinct", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Array": {"fullname": "sqlglot.expressions.Array", "modulename": "sqlglot.expressions", "qualname": "Array", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ToChar": {"fullname": "sqlglot.expressions.ToChar", "modulename": "sqlglot.expressions", "qualname": "ToChar", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GenerateSeries": {"fullname": "sqlglot.expressions.GenerateSeries", "modulename": "sqlglot.expressions", "qualname": "GenerateSeries", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAgg": {"fullname": "sqlglot.expressions.ArrayAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ArrayAll": {"fullname": "sqlglot.expressions.ArrayAll", "modulename": "sqlglot.expressions", "qualname": "ArrayAll", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAny": {"fullname": "sqlglot.expressions.ArrayAny", "modulename": "sqlglot.expressions", "qualname": "ArrayAny", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayConcat": {"fullname": "sqlglot.expressions.ArrayConcat", "modulename": "sqlglot.expressions", "qualname": "ArrayConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayContains": {"fullname": "sqlglot.expressions.ArrayContains", "modulename": "sqlglot.expressions", "qualname": "ArrayContains", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.ArrayContained": {"fullname": "sqlglot.expressions.ArrayContained", "modulename": "sqlglot.expressions", "qualname": "ArrayContained", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.ArrayFilter": {"fullname": "sqlglot.expressions.ArrayFilter", "modulename": "sqlglot.expressions", "qualname": "ArrayFilter", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayJoin": {"fullname": "sqlglot.expressions.ArrayJoin", "modulename": "sqlglot.expressions", "qualname": "ArrayJoin", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySize": {"fullname": "sqlglot.expressions.ArraySize", "modulename": "sqlglot.expressions", "qualname": "ArraySize", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySort": {"fullname": "sqlglot.expressions.ArraySort", "modulename": "sqlglot.expressions", "qualname": "ArraySort", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySum": {"fullname": "sqlglot.expressions.ArraySum", "modulename": "sqlglot.expressions", "qualname": "ArraySum", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayUnionAgg": {"fullname": "sqlglot.expressions.ArrayUnionAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayUnionAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Avg": {"fullname": "sqlglot.expressions.Avg", "modulename": "sqlglot.expressions", "qualname": "Avg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.AnyValue": {"fullname": "sqlglot.expressions.AnyValue", "modulename": "sqlglot.expressions", "qualname": "AnyValue", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Case": {"fullname": "sqlglot.expressions.Case", "modulename": "sqlglot.expressions", "qualname": "Case", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Case.when": {"fullname": "sqlglot.expressions.Case.when", "modulename": "sqlglot.expressions", "qualname": "Case.when", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: Union[str, sqlglot.expressions.Expression],\tthen: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Case:", "funcdef": "def"}, "sqlglot.expressions.Case.else_": {"fullname": "sqlglot.expressions.Case.else_", "modulename": "sqlglot.expressions", "qualname": "Case.else_", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Case:", "funcdef": "def"}, "sqlglot.expressions.Cast": {"fullname": "sqlglot.expressions.Cast", "modulename": "sqlglot.expressions", "qualname": "Cast", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Cast.output_name": {"fullname": "sqlglot.expressions.Cast.output_name", "modulename": "sqlglot.expressions", "qualname": "Cast.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Cast.is_type": {"fullname": "sqlglot.expressions.Cast.is_type", "modulename": "sqlglot.expressions", "qualname": "Cast.is_type", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*dtypes: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.CastToStrType": {"fullname": "sqlglot.expressions.CastToStrType", "modulename": "sqlglot.expressions", "qualname": "CastToStrType", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Collate": {"fullname": "sqlglot.expressions.Collate", "modulename": "sqlglot.expressions", "qualname": "Collate", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.TryCast": {"fullname": "sqlglot.expressions.TryCast", "modulename": "sqlglot.expressions", "qualname": "TryCast", "kind": "class", "doc": "

\n", "bases": "Cast"}, "sqlglot.expressions.Ceil": {"fullname": "sqlglot.expressions.Ceil", "modulename": "sqlglot.expressions", "qualname": "Ceil", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Coalesce": {"fullname": "sqlglot.expressions.Coalesce", "modulename": "sqlglot.expressions", "qualname": "Coalesce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Concat": {"fullname": "sqlglot.expressions.Concat", "modulename": "sqlglot.expressions", "qualname": "Concat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SafeConcat": {"fullname": "sqlglot.expressions.SafeConcat", "modulename": "sqlglot.expressions", "qualname": "SafeConcat", "kind": "class", "doc": "

\n", "bases": "Concat"}, "sqlglot.expressions.ConcatWs": {"fullname": "sqlglot.expressions.ConcatWs", "modulename": "sqlglot.expressions", "qualname": "ConcatWs", "kind": "class", "doc": "

\n", "bases": "Concat"}, "sqlglot.expressions.Count": {"fullname": "sqlglot.expressions.Count", "modulename": "sqlglot.expressions", "qualname": "Count", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.CountIf": {"fullname": "sqlglot.expressions.CountIf", "modulename": "sqlglot.expressions", "qualname": "CountIf", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.CurrentDate": {"fullname": "sqlglot.expressions.CurrentDate", "modulename": "sqlglot.expressions", "qualname": "CurrentDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentDatetime": {"fullname": "sqlglot.expressions.CurrentDatetime", "modulename": "sqlglot.expressions", "qualname": "CurrentDatetime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTime": {"fullname": "sqlglot.expressions.CurrentTime", "modulename": "sqlglot.expressions", "qualname": "CurrentTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTimestamp": {"fullname": "sqlglot.expressions.CurrentTimestamp", "modulename": "sqlglot.expressions", "qualname": "CurrentTimestamp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentUser": {"fullname": "sqlglot.expressions.CurrentUser", "modulename": "sqlglot.expressions", "qualname": "CurrentUser", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateAdd": {"fullname": "sqlglot.expressions.DateAdd", "modulename": "sqlglot.expressions", "qualname": "DateAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateSub": {"fullname": "sqlglot.expressions.DateSub", "modulename": "sqlglot.expressions", "qualname": "DateSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateDiff": {"fullname": "sqlglot.expressions.DateDiff", "modulename": "sqlglot.expressions", "qualname": "DateDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateTrunc": {"fullname": "sqlglot.expressions.DateTrunc", "modulename": "sqlglot.expressions", "qualname": "DateTrunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DatetimeAdd": {"fullname": "sqlglot.expressions.DatetimeAdd", "modulename": "sqlglot.expressions", "qualname": "DatetimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeSub": {"fullname": "sqlglot.expressions.DatetimeSub", "modulename": "sqlglot.expressions", "qualname": "DatetimeSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeDiff": {"fullname": "sqlglot.expressions.DatetimeDiff", "modulename": "sqlglot.expressions", "qualname": "DatetimeDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeTrunc": {"fullname": "sqlglot.expressions.DatetimeTrunc", "modulename": "sqlglot.expressions", "qualname": "DatetimeTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DayOfWeek": {"fullname": "sqlglot.expressions.DayOfWeek", "modulename": "sqlglot.expressions", "qualname": "DayOfWeek", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DayOfMonth": {"fullname": "sqlglot.expressions.DayOfMonth", "modulename": "sqlglot.expressions", "qualname": "DayOfMonth", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DayOfYear": {"fullname": "sqlglot.expressions.DayOfYear", "modulename": "sqlglot.expressions", "qualname": "DayOfYear", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.WeekOfYear": {"fullname": "sqlglot.expressions.WeekOfYear", "modulename": "sqlglot.expressions", "qualname": "WeekOfYear", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.LastDateOfMonth": {"fullname": "sqlglot.expressions.LastDateOfMonth", "modulename": "sqlglot.expressions", "qualname": "LastDateOfMonth", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Extract": {"fullname": "sqlglot.expressions.Extract", "modulename": "sqlglot.expressions", "qualname": "Extract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimestampAdd": {"fullname": "sqlglot.expressions.TimestampAdd", "modulename": "sqlglot.expressions", "qualname": "TimestampAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampSub": {"fullname": "sqlglot.expressions.TimestampSub", "modulename": "sqlglot.expressions", "qualname": "TimestampSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampDiff": {"fullname": "sqlglot.expressions.TimestampDiff", "modulename": "sqlglot.expressions", "qualname": "TimestampDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimestampTrunc": {"fullname": "sqlglot.expressions.TimestampTrunc", "modulename": "sqlglot.expressions", "qualname": "TimestampTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeAdd": {"fullname": "sqlglot.expressions.TimeAdd", "modulename": "sqlglot.expressions", "qualname": "TimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeSub": {"fullname": "sqlglot.expressions.TimeSub", "modulename": "sqlglot.expressions", "qualname": "TimeSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeDiff": {"fullname": "sqlglot.expressions.TimeDiff", "modulename": "sqlglot.expressions", "qualname": "TimeDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TimeTrunc": {"fullname": "sqlglot.expressions.TimeTrunc", "modulename": "sqlglot.expressions", "qualname": "TimeTrunc", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateFromParts": {"fullname": "sqlglot.expressions.DateFromParts", "modulename": "sqlglot.expressions", "qualname": "DateFromParts", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateStrToDate": {"fullname": "sqlglot.expressions.DateStrToDate", "modulename": "sqlglot.expressions", "qualname": "DateStrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateToDateStr": {"fullname": "sqlglot.expressions.DateToDateStr", "modulename": "sqlglot.expressions", "qualname": "DateToDateStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateToDi": {"fullname": "sqlglot.expressions.DateToDi", "modulename": "sqlglot.expressions", "qualname": "DateToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Date": {"fullname": "sqlglot.expressions.Date", "modulename": "sqlglot.expressions", "qualname": "Date", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Day": {"fullname": "sqlglot.expressions.Day", "modulename": "sqlglot.expressions", "qualname": "Day", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Decode": {"fullname": "sqlglot.expressions.Decode", "modulename": "sqlglot.expressions", "qualname": "Decode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DiToDate": {"fullname": "sqlglot.expressions.DiToDate", "modulename": "sqlglot.expressions", "qualname": "DiToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Encode": {"fullname": "sqlglot.expressions.Encode", "modulename": "sqlglot.expressions", "qualname": "Encode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Exp": {"fullname": "sqlglot.expressions.Exp", "modulename": "sqlglot.expressions", "qualname": "Exp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Explode": {"fullname": "sqlglot.expressions.Explode", "modulename": "sqlglot.expressions", "qualname": "Explode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Floor": {"fullname": "sqlglot.expressions.Floor", "modulename": "sqlglot.expressions", "qualname": "Floor", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.FromBase64": {"fullname": "sqlglot.expressions.FromBase64", "modulename": "sqlglot.expressions", "qualname": "FromBase64", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ToBase64": {"fullname": "sqlglot.expressions.ToBase64", "modulename": "sqlglot.expressions", "qualname": "ToBase64", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Greatest": {"fullname": "sqlglot.expressions.Greatest", "modulename": "sqlglot.expressions", "qualname": "Greatest", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GroupConcat": {"fullname": "sqlglot.expressions.GroupConcat", "modulename": "sqlglot.expressions", "qualname": "GroupConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Hex": {"fullname": "sqlglot.expressions.Hex", "modulename": "sqlglot.expressions", "qualname": "Hex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.If": {"fullname": "sqlglot.expressions.If", "modulename": "sqlglot.expressions", "qualname": "If", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Initcap": {"fullname": "sqlglot.expressions.Initcap", "modulename": "sqlglot.expressions", "qualname": "Initcap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.JSONKeyValue": {"fullname": "sqlglot.expressions.JSONKeyValue", "modulename": "sqlglot.expressions", "qualname": "JSONKeyValue", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.JSONObject": {"fullname": "sqlglot.expressions.JSONObject", "modulename": "sqlglot.expressions", "qualname": "JSONObject", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.OpenJSONColumnDef": {"fullname": "sqlglot.expressions.OpenJSONColumnDef", "modulename": "sqlglot.expressions", "qualname": "OpenJSONColumnDef", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.OpenJSON": {"fullname": "sqlglot.expressions.OpenJSON", "modulename": "sqlglot.expressions", "qualname": "OpenJSON", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.JSONBContains": {"fullname": "sqlglot.expressions.JSONBContains", "modulename": "sqlglot.expressions", "qualname": "JSONBContains", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.JSONExtract": {"fullname": "sqlglot.expressions.JSONExtract", "modulename": "sqlglot.expressions", "qualname": "JSONExtract", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.JSONExtractScalar": {"fullname": "sqlglot.expressions.JSONExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONExtractScalar", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtract": {"fullname": "sqlglot.expressions.JSONBExtract", "modulename": "sqlglot.expressions", "qualname": "JSONBExtract", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONBExtractScalar": {"fullname": "sqlglot.expressions.JSONBExtractScalar", "modulename": "sqlglot.expressions", "qualname": "JSONBExtractScalar", "kind": "class", "doc": "

\n", "bases": "JSONExtract"}, "sqlglot.expressions.JSONFormat": {"fullname": "sqlglot.expressions.JSONFormat", "modulename": "sqlglot.expressions", "qualname": "JSONFormat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Least": {"fullname": "sqlglot.expressions.Least", "modulename": "sqlglot.expressions", "qualname": "Least", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Left": {"fullname": "sqlglot.expressions.Left", "modulename": "sqlglot.expressions", "qualname": "Left", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Right": {"fullname": "sqlglot.expressions.Right", "modulename": "sqlglot.expressions", "qualname": "Right", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Length": {"fullname": "sqlglot.expressions.Length", "modulename": "sqlglot.expressions", "qualname": "Length", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Levenshtein": {"fullname": "sqlglot.expressions.Levenshtein", "modulename": "sqlglot.expressions", "qualname": "Levenshtein", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Ln": {"fullname": "sqlglot.expressions.Ln", "modulename": "sqlglot.expressions", "qualname": "Ln", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log": {"fullname": "sqlglot.expressions.Log", "modulename": "sqlglot.expressions", "qualname": "Log", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log2": {"fullname": "sqlglot.expressions.Log2", "modulename": "sqlglot.expressions", "qualname": "Log2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Log10": {"fullname": "sqlglot.expressions.Log10", "modulename": "sqlglot.expressions", "qualname": "Log10", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.LogicalOr": {"fullname": "sqlglot.expressions.LogicalOr", "modulename": "sqlglot.expressions", "qualname": "LogicalOr", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.LogicalAnd": {"fullname": "sqlglot.expressions.LogicalAnd", "modulename": "sqlglot.expressions", "qualname": "LogicalAnd", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Lower": {"fullname": "sqlglot.expressions.Lower", "modulename": "sqlglot.expressions", "qualname": "Lower", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Map": {"fullname": "sqlglot.expressions.Map", "modulename": "sqlglot.expressions", "qualname": "Map", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StarMap": {"fullname": "sqlglot.expressions.StarMap", "modulename": "sqlglot.expressions", "qualname": "StarMap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.VarMap": {"fullname": "sqlglot.expressions.VarMap", "modulename": "sqlglot.expressions", "qualname": "VarMap", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.MatchAgainst": {"fullname": "sqlglot.expressions.MatchAgainst", "modulename": "sqlglot.expressions", "qualname": "MatchAgainst", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Max": {"fullname": "sqlglot.expressions.Max", "modulename": "sqlglot.expressions", "qualname": "Max", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.MD5": {"fullname": "sqlglot.expressions.MD5", "modulename": "sqlglot.expressions", "qualname": "MD5", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Min": {"fullname": "sqlglot.expressions.Min", "modulename": "sqlglot.expressions", "qualname": "Min", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Month": {"fullname": "sqlglot.expressions.Month", "modulename": "sqlglot.expressions", "qualname": "Month", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Nvl2": {"fullname": "sqlglot.expressions.Nvl2", "modulename": "sqlglot.expressions", "qualname": "Nvl2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Posexplode": {"fullname": "sqlglot.expressions.Posexplode", "modulename": "sqlglot.expressions", "qualname": "Posexplode", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Pow": {"fullname": "sqlglot.expressions.Pow", "modulename": "sqlglot.expressions", "qualname": "Pow", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.PercentileCont": {"fullname": "sqlglot.expressions.PercentileCont", "modulename": "sqlglot.expressions", "qualname": "PercentileCont", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.PercentileDisc": {"fullname": "sqlglot.expressions.PercentileDisc", "modulename": "sqlglot.expressions", "qualname": "PercentileDisc", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Quantile": {"fullname": "sqlglot.expressions.Quantile", "modulename": "sqlglot.expressions", "qualname": "Quantile", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxQuantile": {"fullname": "sqlglot.expressions.ApproxQuantile", "modulename": "sqlglot.expressions", "qualname": "ApproxQuantile", "kind": "class", "doc": "

\n", "bases": "Quantile"}, "sqlglot.expressions.RangeN": {"fullname": "sqlglot.expressions.RangeN", "modulename": "sqlglot.expressions", "qualname": "RangeN", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ReadCSV": {"fullname": "sqlglot.expressions.ReadCSV", "modulename": "sqlglot.expressions", "qualname": "ReadCSV", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Reduce": {"fullname": "sqlglot.expressions.Reduce", "modulename": "sqlglot.expressions", "qualname": "Reduce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpExtract": {"fullname": "sqlglot.expressions.RegexpExtract", "modulename": "sqlglot.expressions", "qualname": "RegexpExtract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpLike": {"fullname": "sqlglot.expressions.RegexpLike", "modulename": "sqlglot.expressions", "qualname": "RegexpLike", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpILike": {"fullname": "sqlglot.expressions.RegexpILike", "modulename": "sqlglot.expressions", "qualname": "RegexpILike", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RegexpSplit": {"fullname": "sqlglot.expressions.RegexpSplit", "modulename": "sqlglot.expressions", "qualname": "RegexpSplit", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Repeat": {"fullname": "sqlglot.expressions.Repeat", "modulename": "sqlglot.expressions", "qualname": "Repeat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Round": {"fullname": "sqlglot.expressions.Round", "modulename": "sqlglot.expressions", "qualname": "Round", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.RowNumber": {"fullname": "sqlglot.expressions.RowNumber", "modulename": "sqlglot.expressions", "qualname": "RowNumber", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SafeDivide": {"fullname": "sqlglot.expressions.SafeDivide", "modulename": "sqlglot.expressions", "qualname": "SafeDivide", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SetAgg": {"fullname": "sqlglot.expressions.SetAgg", "modulename": "sqlglot.expressions", "qualname": "SetAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.SHA": {"fullname": "sqlglot.expressions.SHA", "modulename": "sqlglot.expressions", "qualname": "SHA", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SHA2": {"fullname": "sqlglot.expressions.SHA2", "modulename": "sqlglot.expressions", "qualname": "SHA2", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SortArray": {"fullname": "sqlglot.expressions.SortArray", "modulename": "sqlglot.expressions", "qualname": "SortArray", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Split": {"fullname": "sqlglot.expressions.Split", "modulename": "sqlglot.expressions", "qualname": "Split", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Substring": {"fullname": "sqlglot.expressions.Substring", "modulename": "sqlglot.expressions", "qualname": "Substring", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StandardHash": {"fullname": "sqlglot.expressions.StandardHash", "modulename": "sqlglot.expressions", "qualname": "StandardHash", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrPosition": {"fullname": "sqlglot.expressions.StrPosition", "modulename": "sqlglot.expressions", "qualname": "StrPosition", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToDate": {"fullname": "sqlglot.expressions.StrToDate", "modulename": "sqlglot.expressions", "qualname": "StrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToTime": {"fullname": "sqlglot.expressions.StrToTime", "modulename": "sqlglot.expressions", "qualname": "StrToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StrToUnix": {"fullname": "sqlglot.expressions.StrToUnix", "modulename": "sqlglot.expressions", "qualname": "StrToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.NumberToStr": {"fullname": "sqlglot.expressions.NumberToStr", "modulename": "sqlglot.expressions", "qualname": "NumberToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.FromBase": {"fullname": "sqlglot.expressions.FromBase", "modulename": "sqlglot.expressions", "qualname": "FromBase", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Struct": {"fullname": "sqlglot.expressions.Struct", "modulename": "sqlglot.expressions", "qualname": "Struct", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.StructExtract": {"fullname": "sqlglot.expressions.StructExtract", "modulename": "sqlglot.expressions", "qualname": "StructExtract", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Sum": {"fullname": "sqlglot.expressions.Sum", "modulename": "sqlglot.expressions", "qualname": "Sum", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Sqrt": {"fullname": "sqlglot.expressions.Sqrt", "modulename": "sqlglot.expressions", "qualname": "Sqrt", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Stddev": {"fullname": "sqlglot.expressions.Stddev", "modulename": "sqlglot.expressions", "qualname": "Stddev", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevPop": {"fullname": "sqlglot.expressions.StddevPop", "modulename": "sqlglot.expressions", "qualname": "StddevPop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.StddevSamp": {"fullname": "sqlglot.expressions.StddevSamp", "modulename": "sqlglot.expressions", "qualname": "StddevSamp", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.TimeToStr": {"fullname": "sqlglot.expressions.TimeToStr", "modulename": "sqlglot.expressions", "qualname": "TimeToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeToTimeStr": {"fullname": "sqlglot.expressions.TimeToTimeStr", "modulename": "sqlglot.expressions", "qualname": "TimeToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeToUnix": {"fullname": "sqlglot.expressions.TimeToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToDate": {"fullname": "sqlglot.expressions.TimeStrToDate", "modulename": "sqlglot.expressions", "qualname": "TimeStrToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToTime": {"fullname": "sqlglot.expressions.TimeStrToTime", "modulename": "sqlglot.expressions", "qualname": "TimeStrToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TimeStrToUnix": {"fullname": "sqlglot.expressions.TimeStrToUnix", "modulename": "sqlglot.expressions", "qualname": "TimeStrToUnix", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Trim": {"fullname": "sqlglot.expressions.Trim", "modulename": "sqlglot.expressions", "qualname": "Trim", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsAdd": {"fullname": "sqlglot.expressions.TsOrDsAdd", "modulename": "sqlglot.expressions", "qualname": "TsOrDsAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.TsOrDsToDateStr": {"fullname": "sqlglot.expressions.TsOrDsToDateStr", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDateStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDsToDate": {"fullname": "sqlglot.expressions.TsOrDsToDate", "modulename": "sqlglot.expressions", "qualname": "TsOrDsToDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.TsOrDiToDi": {"fullname": "sqlglot.expressions.TsOrDiToDi", "modulename": "sqlglot.expressions", "qualname": "TsOrDiToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Unhex": {"fullname": "sqlglot.expressions.Unhex", "modulename": "sqlglot.expressions", "qualname": "Unhex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToStr": {"fullname": "sqlglot.expressions.UnixToStr", "modulename": "sqlglot.expressions", "qualname": "UnixToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTime": {"fullname": "sqlglot.expressions.UnixToTime", "modulename": "sqlglot.expressions", "qualname": "UnixToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTimeStr": {"fullname": "sqlglot.expressions.UnixToTimeStr", "modulename": "sqlglot.expressions", "qualname": "UnixToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Upper": {"fullname": "sqlglot.expressions.Upper", "modulename": "sqlglot.expressions", "qualname": "Upper", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Variance": {"fullname": "sqlglot.expressions.Variance", "modulename": "sqlglot.expressions", "qualname": "Variance", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.VariancePop": {"fullname": "sqlglot.expressions.VariancePop", "modulename": "sqlglot.expressions", "qualname": "VariancePop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Week": {"fullname": "sqlglot.expressions.Week", "modulename": "sqlglot.expressions", "qualname": "Week", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.XMLTable": {"fullname": "sqlglot.expressions.XMLTable", "modulename": "sqlglot.expressions", "qualname": "XMLTable", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Year": {"fullname": "sqlglot.expressions.Year", "modulename": "sqlglot.expressions", "qualname": "Year", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Use": {"fullname": "sqlglot.expressions.Use", "modulename": "sqlglot.expressions", "qualname": "Use", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Merge": {"fullname": "sqlglot.expressions.Merge", "modulename": "sqlglot.expressions", "qualname": "Merge", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.When": {"fullname": "sqlglot.expressions.When", "modulename": "sqlglot.expressions", "qualname": "When", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.NextValueFor": {"fullname": "sqlglot.expressions.NextValueFor", "modulename": "sqlglot.expressions", "qualname": "NextValueFor", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.maybe_parse": {"fullname": "sqlglot.expressions.maybe_parse", "modulename": "sqlglot.expressions", "qualname": "maybe_parse", "kind": "function", "doc": "

Gracefully handle a possible string or expression.

\n\n
Example:
\n\n
\n
\n
>>> maybe_parse("1")\n(LITERAL this: 1, is_string: False)\n>>> maybe_parse(to_identifier("x"))\n(IDENTIFIER this: x, quoted: False)\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • sql_or_expression: the SQL code string or an expression
    • \n
  • into: the SQLGlot Expression to parse into
    • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
    • \n
  • prefix: a string to prefix the sql with before it gets parsed\n(automatically includes a space)
    • \n
  • copy: whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Expression: the parsed or given expression.

\n
\n", "signature": "(\tsql_or_expression: Union[str, sqlglot.expressions.Expression],\t*,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tprefix: Optional[str] = None,\tcopy: bool = False,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.union": {"fullname": "sqlglot.expressions.union", "modulename": "sqlglot.expressions", "qualname": "union", "kind": "function", "doc": "

Initializes a syntax tree from one UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left: the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Union instance.

\n
\n", "signature": "(\tleft: Union[str, sqlglot.expressions.Expression],\tright: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Union:", "funcdef": "def"}, "sqlglot.expressions.intersect": {"fullname": "sqlglot.expressions.intersect", "modulename": "sqlglot.expressions", "qualname": "intersect", "kind": "function", "doc": "

Initializes a syntax tree from one INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left: the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Intersect instance.

\n
\n", "signature": "(\tleft: Union[str, sqlglot.expressions.Expression],\tright: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Intersect:", "funcdef": "def"}, "sqlglot.expressions.except_": {"fullname": "sqlglot.expressions.except_", "modulename": "sqlglot.expressions", "qualname": "except_", "kind": "function", "doc": "

Initializes a syntax tree from one EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left: the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Except instance.

\n
\n", "signature": "(\tleft: Union[str, sqlglot.expressions.Expression],\tright: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Except:", "funcdef": "def"}, "sqlglot.expressions.select": {"fullname": "sqlglot.expressions.select", "modulename": "sqlglot.expressions", "qualname": "select", "kind": "function", "doc": "

Initializes a syntax tree from one or multiple SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> select("col1", "col2").from_("tbl").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code string to parse as the expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.from_": {"fullname": "sqlglot.expressions.from_", "modulename": "sqlglot.expressions", "qualname": "from_", "kind": "function", "doc": "

Initializes a syntax tree from a FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> from_("tbl").select("col1", "col2").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expression: the SQL code string to parse as the FROM expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.update": {"fullname": "sqlglot.expressions.update", "modulename": "sqlglot.expressions", "qualname": "update", "kind": "function", "doc": "

Creates an update statement.

\n\n
Example:
\n\n
\n
\n
>>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()\n"UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *properties: dictionary of properties to set which are\nauto converted to sql objects eg None -> NULL
    • \n
  • where: sql conditional parsed into a WHERE statement
    • \n
  • from_: sql statement parsed into a FROM statement
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Update: the syntax tree for the UPDATE statement.

\n
\n", "signature": "(\ttable: str | sqlglot.expressions.Table,\tproperties: dict,\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tfrom_: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Update:", "funcdef": "def"}, "sqlglot.expressions.delete": {"fullname": "sqlglot.expressions.delete", "modulename": "sqlglot.expressions", "qualname": "delete", "kind": "function", "doc": "

Builds a delete statement.

\n\n
Example:
\n\n
\n
\n
>>> delete("my_table", where="id > 1").sql()\n'DELETE FROM my_table WHERE id > 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • where: sql conditional parsed into a WHERE statement
    • \n
  • returning: sql conditional parsed into a RETURNING statement
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the syntax tree for the DELETE statement.

\n
\n", "signature": "(\ttable: Union[str, sqlglot.expressions.Expression],\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\treturning: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.insert": {"fullname": "sqlglot.expressions.insert", "modulename": "sqlglot.expressions", "qualname": "insert", "kind": "function", "doc": "

Builds an INSERT statement.

\n\n
Example:
\n\n
\n
\n
>>> insert("VALUES (1, 2, 3)", "tbl").sql()\n'INSERT INTO tbl VALUES (1, 2, 3)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the sql string or expression of the INSERT statement
    • \n
  • into: the tbl to insert data to.
    • \n
  • columns: optionally the table's column names.
    • \n
  • overwrite: whether to INSERT OVERWRITE or not.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Insert: the syntax tree for the INSERT statement.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tinto: Union[str, sqlglot.expressions.Expression],\tcolumns: Optional[Sequence[Union[str, sqlglot.expressions.Expression]]] = None,\toverwrite: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Insert:", "funcdef": "def"}, "sqlglot.expressions.condition": {"fullname": "sqlglot.expressions.condition", "modulename": "sqlglot.expressions", "qualname": "condition", "kind": "function", "doc": "

Initialize a logical condition expression.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").sql()\n'x = 1'\n
\n
\n \n

This is helpful for composing larger logical syntax trees:

\n \n
\n
>>> where = condition("x=1")\n>>> where = where.and_("y=1")\n>>> Select().from_("tbl").select("*").where(where).sql()\n'SELECT * FROM tbl WHERE x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
    • \n
  • copy: Whether or not to copy expression (only applies to expressions).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

The new Condition instance

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.and_": {"fullname": "sqlglot.expressions.and_", "modulename": "sqlglot.expressions", "qualname": "and_", "kind": "function", "doc": "

Combine multiple conditions with an AND logical operator.

\n\n
Example:
\n\n
\n
\n
>>> and_("x=1", and_("y=1", "z=1")).sql()\n'x = 1 AND (y = 1 AND z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy expressions (only applies to Expressions).
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

And: the new condition

\n
\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.or_": {"fullname": "sqlglot.expressions.or_", "modulename": "sqlglot.expressions", "qualname": "or_", "kind": "function", "doc": "

Combine multiple conditions with an OR logical operator.

\n\n
Example:
\n\n
\n
\n
>>> or_("x=1", or_("y=1", "z=1")).sql()\n'x = 1 OR (y = 1 OR z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy expressions (only applies to Expressions).
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Or: the new condition

\n
\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.not_": {"fullname": "sqlglot.expressions.not_", "modulename": "sqlglot.expressions", "qualname": "not_", "kind": "function", "doc": "

Wrap a condition with a NOT operator.

\n\n
Example:
\n\n
\n
\n
>>> not_("this_suit='black'").sql()\n"NOT this_suit = 'black'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether to copy the expression or not.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new condition.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Not:", "funcdef": "def"}, "sqlglot.expressions.paren": {"fullname": "sqlglot.expressions.paren", "modulename": "sqlglot.expressions", "qualname": "paren", "kind": "function", "doc": "

Wrap an expression in parentheses.

\n\n
Example:
\n\n
\n
\n
>>> paren("5 + 3").sql()\n'(5 + 3)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • copy: whether to copy the expression or not.
    • \n
\n\n
Returns:
\n\n
\n

The wrapped expression.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True) -> sqlglot.expressions.Paren:", "funcdef": "def"}, "sqlglot.expressions.to_identifier": {"fullname": "sqlglot.expressions.to_identifier", "modulename": "sqlglot.expressions", "qualname": "to_identifier", "kind": "function", "doc": "

Builds an identifier.

\n\n
Arguments:
\n\n
    \n
  • name: The name to turn into an identifier.
    • \n
  • quoted: Whether or not force quote the identifier.
    • \n
  • copy: Whether or not to copy a passed in Identefier node.
    • \n
\n\n
Returns:
\n\n
\n

The identifier ast node.

\n
\n", "signature": "(name, quoted=None, copy=True):", "funcdef": "def"}, "sqlglot.expressions.to_interval": {"fullname": "sqlglot.expressions.to_interval", "modulename": "sqlglot.expressions", "qualname": "to_interval", "kind": "function", "doc": "

Builds an interval expression from a string like '1 day' or '5 months'.

\n", "signature": "(\tinterval: str | sqlglot.expressions.Literal) -> sqlglot.expressions.Interval:", "funcdef": "def"}, "sqlglot.expressions.to_table": {"fullname": "sqlglot.expressions.to_table", "modulename": "sqlglot.expressions", "qualname": "to_table", "kind": "function", "doc": "

Create a table expression from a [catalog].[schema].[table] sql path. Catalog and schema are optional.\nIf a table is passed in then that table is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: a [catalog].[schema].[table] string.
    • \n
  • dialect: the source dialect according to which the table name will be parsed.
    • \n
  • kwargs: the kwargs to instantiate the resulting Table expression with.
    • \n
\n\n
Returns:
\n\n
\n

A table expression.

\n
\n", "signature": "(\tsql_path: Union[str, sqlglot.expressions.Table, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> Optional[sqlglot.expressions.Table]:", "funcdef": "def"}, "sqlglot.expressions.to_column": {"fullname": "sqlglot.expressions.to_column", "modulename": "sqlglot.expressions", "qualname": "to_column", "kind": "function", "doc": "

Create a column from a [table].[column] sql path. Schema is optional.

\n\n

If a column is passed in then that column is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: [table].[column] string
    • \n
\n\n
Returns:
\n\n
\n

Table: A column expression

\n
\n", "signature": "(\tsql_path: str | sqlglot.expressions.Column,\t**kwargs) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.alias_": {"fullname": "sqlglot.expressions.alias_", "modulename": "sqlglot.expressions", "qualname": "alias_", "kind": "function", "doc": "

Create an Alias expression.

\n\n
Example:
\n\n
\n
\n
>>> alias_('foo', 'bar').sql()\n'foo AS bar'\n
\n
\n \n
\n
>>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()\n'(SELECT 1, 2) AS bar(a, b)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • alias: the alias name to use. If the name has\nspecial characters it is quoted.
    • \n
  • table: Whether or not to create a table alias, can also be a list of columns.
    • \n
  • quoted: whether or not to quote the alias
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: Whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Alias: the aliased expression

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\talias: str | sqlglot.expressions.Identifier,\ttable: Union[bool, Sequence[str | sqlglot.expressions.Identifier]] = False,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.subquery": {"fullname": "sqlglot.expressions.subquery", "modulename": "sqlglot.expressions", "qualname": "subquery", "kind": "function", "doc": "

Build a subquery expression.

\n\n
Example:
\n\n
\n
\n
>>> subquery('select x from tbl', 'bar').select('x').sql()\n'SELECT x FROM (SELECT x FROM tbl) AS bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • alias: the alias name to use.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

A new Select instance with the subquery expression included.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\talias: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.column": {"fullname": "sqlglot.expressions.column", "modulename": "sqlglot.expressions", "qualname": "column", "kind": "function", "doc": "

Build a Column.

\n\n
Arguments:
\n\n
    \n
  • col: Column name.
    • \n
  • table: Table name.
    • \n
  • db: Database name.
    • \n
  • catalog: Catalog name.
    • \n
  • quoted: Whether to force quotes on the column's identifiers.
    • \n
\n\n
Returns:
\n\n
\n

The new Column instance.

\n
\n", "signature": "(\tcol: str | sqlglot.expressions.Identifier,\ttable: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tdb: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tcatalog: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tquoted: Optional[bool] = None) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.cast": {"fullname": "sqlglot.expressions.cast", "modulename": "sqlglot.expressions", "qualname": "cast", "kind": "function", "doc": "

Cast an expression to a data type.

\n\n
Example:
\n\n
\n
\n
>>> cast('x + 1', 'int').sql()\n'CAST(x + 1 AS INT)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to cast.
    • \n
  • to: The datatype to cast to.
    • \n
\n\n
Returns:
\n\n
\n

The new Cast instance.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tto: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\t**opts) -> sqlglot.expressions.Cast:", "funcdef": "def"}, "sqlglot.expressions.table_": {"fullname": "sqlglot.expressions.table_", "modulename": "sqlglot.expressions", "qualname": "table_", "kind": "function", "doc": "

Build a Table.

\n\n
Arguments:
\n\n
    \n
  • table: Table name.
    • \n
  • db: Database name.
    • \n
  • catalog: Catalog name.
    • \n
  • quote: Whether to force quotes on the table's identifiers.
    • \n
  • alias: Table's alias.
    • \n
\n\n
Returns:
\n\n
\n

The new Table instance.

\n
\n", "signature": "(\ttable: sqlglot.expressions.Identifier | str,\tdb: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tcatalog: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tquoted: Optional[bool] = None,\talias: Union[sqlglot.expressions.Identifier, str, NoneType] = None) -> sqlglot.expressions.Table:", "funcdef": "def"}, "sqlglot.expressions.values": {"fullname": "sqlglot.expressions.values", "modulename": "sqlglot.expressions", "qualname": "values", "kind": "function", "doc": "

Build VALUES statement.

\n\n
Example:
\n\n
\n
\n
>>> values([(1, '2')]).sql()\n"VALUES (1, '2')"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: values statements that will be converted to SQL
    • \n
  • alias: optional alias
    • \n
  • columns: Optional list of ordered column names or ordered dictionary of column names to types.\nIf either are provided then an alias is also required.
    • \n
\n\n
Returns:
\n\n
\n

Values: the Values expression object

\n
\n", "signature": "(\tvalues: Iterable[Tuple[Any, ...]],\talias: Optional[str] = None,\tcolumns: Union[Iterable[str], Dict[str, sqlglot.expressions.DataType], NoneType] = None) -> sqlglot.expressions.Values:", "funcdef": "def"}, "sqlglot.expressions.var": {"fullname": "sqlglot.expressions.var", "modulename": "sqlglot.expressions", "qualname": "var", "kind": "function", "doc": "

Build a SQL variable.

\n\n
Example:
\n\n
\n
\n
>>> repr(var('x'))\n'(VAR this: x)'\n
\n
\n \n
\n
>>> repr(var(column('x', table='y')))\n'(VAR this: x)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: The name of the var or an expression who's name will become the var.
    • \n
\n\n
Returns:
\n\n
\n

The new variable node.

\n
\n", "signature": "(\tname: Union[str, sqlglot.expressions.Expression, NoneType]) -> sqlglot.expressions.Var:", "funcdef": "def"}, "sqlglot.expressions.rename_table": {"fullname": "sqlglot.expressions.rename_table", "modulename": "sqlglot.expressions", "qualname": "rename_table", "kind": "function", "doc": "

Build ALTER TABLE... RENAME... expression

\n\n
Arguments:
\n\n
    \n
  • old_name: The old name of the table
    • \n
  • new_name: The new name of the table
    • \n
\n\n
Returns:
\n\n
\n

Alter table expression

\n
\n", "signature": "(\told_name: str | sqlglot.expressions.Table,\tnew_name: str | sqlglot.expressions.Table) -> sqlglot.expressions.AlterTable:", "funcdef": "def"}, "sqlglot.expressions.convert": {"fullname": "sqlglot.expressions.convert", "modulename": "sqlglot.expressions", "qualname": "convert", "kind": "function", "doc": "

Convert a python value into an expression object.

\n\n

Raises an error if a conversion is not possible.

\n\n
Arguments:
\n\n
    \n
  • value: A python object.
    • \n
  • copy: Whether or not to copy value (only applies to Expressions and collections).
    • \n
\n\n
Returns:
\n\n
\n

Expression: the equivalent expression object.

\n
\n", "signature": "(value: Any, copy: bool = False) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.replace_children": {"fullname": "sqlglot.expressions.replace_children", "modulename": "sqlglot.expressions", "qualname": "replace_children", "kind": "function", "doc": "

Replace children of an expression with the result of a lambda fun(child) -> exp.

\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tfun: Callable,\t*args,\t**kwargs) -> None:", "funcdef": "def"}, "sqlglot.expressions.column_table_names": {"fullname": "sqlglot.expressions.column_table_names", "modulename": "sqlglot.expressions", "qualname": "column_table_names", "kind": "function", "doc": "

Return all table names referenced through columns in an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))\n['c', 'a']\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to find table names.
    • \n
\n\n
Returns:
\n\n
\n

A list of unique names.

\n
\n", "signature": "(expression: sqlglot.expressions.Expression) -> List[str]:", "funcdef": "def"}, "sqlglot.expressions.table_name": {"fullname": "sqlglot.expressions.table_name", "modulename": "sqlglot.expressions", "qualname": "table_name", "kind": "function", "doc": "

Get the full name of a table as a string.

\n\n
Arguments:
\n\n
    \n
  • table: table expression node or string.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> table_name(parse_one("select * from a.b.c").find(exp.Table))\n'a.b.c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The table name.

\n
\n", "signature": "(table: sqlglot.expressions.Table | str) -> str:", "funcdef": "def"}, "sqlglot.expressions.replace_tables": {"fullname": "sqlglot.expressions.replace_tables", "modulename": "sqlglot.expressions", "qualname": "replace_tables", "kind": "function", "doc": "

Replace all tables in expression according to the mapping.

\n\n
Arguments:
\n\n
    \n
  • expression: expression node to be transformed and replaced.
    • \n
  • mapping: mapping of table names.
    • \n
  • copy: whether or not to copy the expression.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()\n'SELECT * FROM c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(expression: ~E, mapping: Dict[str, str], copy: bool = True) -> ~E:", "funcdef": "def"}, "sqlglot.expressions.replace_placeholders": {"fullname": "sqlglot.expressions.replace_placeholders", "modulename": "sqlglot.expressions", "qualname": "replace_placeholders", "kind": "function", "doc": "

Replace placeholders in an expression.

\n\n
Arguments:
\n\n
    \n
  • expression: expression node to be transformed and replaced.
    • \n
  • args: positional names that will substitute unnamed placeholders in the given order.
    • \n
  • kwargs: keyword arguments that will substitute named placeholders.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_placeholders(\n...     parse_one("select * from :tbl where ? = ?"),\n...     exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo")\n... ).sql()\n"SELECT * FROM foo WHERE str_col = 'b'"\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\t*args,\t**kwargs) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.expand": {"fullname": "sqlglot.expressions.expand", "modulename": "sqlglot.expressions", "qualname": "expand", "kind": "function", "doc": "

Transforms an expression by expanding all referenced sources into subqueries.

\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()\n'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'\n
\n
\n \n
\n
>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql()\n'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to expand.
    • \n
  • sources: A dictionary of name to Subqueryables.
    • \n
  • copy: Whether or not to copy the expression during transformation. Defaults to True.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tsources: Dict[str, sqlglot.expressions.Subqueryable],\tcopy: bool = True) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.func": {"fullname": "sqlglot.expressions.func", "modulename": "sqlglot.expressions", "qualname": "func", "kind": "function", "doc": "

Returns a Func expression.

\n\n
Examples:
\n\n
\n
\n
>>> func("abs", 5).sql()\n'ABS(5)'\n
\n
\n \n
\n
>>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()\n'CAST(5 AS DOUBLE)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: the name of the function to build.
    • \n
  • args: the args used to instantiate the function of interest.
    • \n
  • dialect: the source dialect.
    • \n
  • kwargs: the kwargs used to instantiate the function of interest.
    • \n
\n\n
Note:
\n\n
\n

The arguments args and kwargs are mutually exclusive.

\n
\n\n
Returns:
\n\n
\n

An instance of the function of interest, or an anonymous function, if name doesn't\n correspond to an existing sqlglot.expressions.Func class.

\n
\n", "signature": "(\tname: str,\t*args,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.Func:", "funcdef": "def"}, "sqlglot.expressions.true": {"fullname": "sqlglot.expressions.true", "modulename": "sqlglot.expressions", "qualname": "true", "kind": "function", "doc": "

Returns a true Boolean expression.

\n", "signature": "() -> sqlglot.expressions.Boolean:", "funcdef": "def"}, "sqlglot.expressions.false": {"fullname": "sqlglot.expressions.false", "modulename": "sqlglot.expressions", "qualname": "false", "kind": "function", "doc": "

Returns a false Boolean expression.

\n", "signature": "() -> sqlglot.expressions.Boolean:", "funcdef": "def"}, "sqlglot.expressions.null": {"fullname": "sqlglot.expressions.null", "modulename": "sqlglot.expressions", "qualname": "null", "kind": "function", "doc": "

Returns a Null expression.

\n", "signature": "() -> sqlglot.expressions.Null:", "funcdef": "def"}, "sqlglot.generator": {"fullname": "sqlglot.generator", "modulename": "sqlglot.generator", "kind": "module", "doc": "

\n"}, "sqlglot.generator.Generator": {"fullname": "sqlglot.generator.Generator", "modulename": "sqlglot.generator", "qualname": "Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n"}, "sqlglot.generator.Generator.__init__": {"fullname": "sqlglot.generator.Generator.__init__", "modulename": "sqlglot.generator", "qualname": "Generator.__init__", "kind": "function", "doc": "

\n", "signature": "(\tpretty: Optional[bool] = None,\tidentify: str | bool = False,\tnormalize: bool = False,\tpad: int = 2,\tindent: int = 2,\tnormalize_functions: Union[str, bool, NoneType] = None,\tunsupported_level: sqlglot.errors.ErrorLevel = <ErrorLevel.WARN: 'WARN'>,\tmax_unsupported: int = 3,\tleading_comma: bool = False,\tmax_text_width: int = 80,\tcomments: bool = True)"}, "sqlglot.generator.Generator.generate": {"fullname": "sqlglot.generator.Generator.generate", "modulename": "sqlglot.generator", "qualname": "Generator.generate", "kind": "function", "doc": "

Generates the SQL string corresponding to the given syntax tree.

\n\n
Arguments:
\n\n
    \n
  • expression: The syntax tree.
    • \n
  • cache: An optional sql string cache. This leverages the hash of an Expression\nwhich can be slow to compute, so only use it if you set _hash on each node.
    • \n
\n\n
Returns:
\n\n
\n

The SQL string corresponding to expression.

\n
\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\tcache: Optional[Dict[int, str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unsupported": {"fullname": "sqlglot.generator.Generator.unsupported", "modulename": "sqlglot.generator", "qualname": "Generator.unsupported", "kind": "function", "doc": "

\n", "signature": "(self, message: str) -> None:", "funcdef": "def"}, "sqlglot.generator.Generator.sep": {"fullname": "sqlglot.generator.Generator.sep", "modulename": "sqlglot.generator", "qualname": "Generator.sep", "kind": "function", "doc": "

\n", "signature": "(self, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.seg": {"fullname": "sqlglot.generator.Generator.seg", "modulename": "sqlglot.generator", "qualname": "Generator.seg", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pad_comment": {"fullname": "sqlglot.generator.Generator.pad_comment", "modulename": "sqlglot.generator", "qualname": "Generator.pad_comment", "kind": "function", "doc": "

\n", "signature": "(self, comment: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.maybe_comment": {"fullname": "sqlglot.generator.Generator.maybe_comment", "modulename": "sqlglot.generator", "qualname": "Generator.maybe_comment", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsql: str,\texpression: Optional[sqlglot.expressions.Expression] = None,\tcomments: Optional[List[str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.wrap": {"fullname": "sqlglot.generator.Generator.wrap", "modulename": "sqlglot.generator", "qualname": "Generator.wrap", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression | str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.no_identify": {"fullname": "sqlglot.generator.Generator.no_identify", "modulename": "sqlglot.generator", "qualname": "Generator.no_identify", "kind": "function", "doc": "

\n", "signature": "(self, func: Callable[..., str], *args, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.normalize_func": {"fullname": "sqlglot.generator.Generator.normalize_func", "modulename": "sqlglot.generator", "qualname": "Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.indent": {"fullname": "sqlglot.generator.Generator.indent", "modulename": "sqlglot.generator", "qualname": "Generator.indent", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsql: str,\tlevel: int = 0,\tpad: Optional[int] = None,\tskip_first: bool = False,\tskip_last: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sql": {"fullname": "sqlglot.generator.Generator.sql", "modulename": "sqlglot.generator", "qualname": "Generator.sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, NoneType],\tkey: Optional[str] = None,\tcomment: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uncache_sql": {"fullname": "sqlglot.generator.Generator.uncache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uncache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Uncache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cache_sql": {"fullname": "sqlglot.generator.Generator.cache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.characterset_sql": {"fullname": "sqlglot.generator.Generator.characterset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.characterset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CharacterSet) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.column_sql": {"fullname": "sqlglot.generator.Generator.column_sql", "modulename": "sqlglot.generator", "qualname": "Generator.column_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnposition_sql": {"fullname": "sqlglot.generator.Generator.columnposition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnposition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnPosition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columndef_sql": {"fullname": "sqlglot.generator.Generator.columndef_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnconstraint_sql": {"fullname": "sqlglot.generator.Generator.columnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.autoincrementcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.autoincrementcolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, _) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.compresscolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.compresscolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.compresscolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CompressColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.notnullcolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.notnullcolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.notnullcolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NotNullColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.primarykeycolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.primarykeycolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.primarykeycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PrimaryKeyColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uniquecolumnconstraint_sql": {"fullname": "sqlglot.generator.Generator.uniquecolumnconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uniquecolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.UniqueColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.createable_sql": {"fullname": "sqlglot.generator.Generator.createable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.createable_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Create,\tlocations: dict[sqlglot.expressions.Properties.Location, list[sqlglot.expressions.Property]]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.create_sql": {"fullname": "sqlglot.generator.Generator.create_sql", "modulename": "sqlglot.generator", "qualname": "Generator.create_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.clone_sql": {"fullname": "sqlglot.generator.Generator.clone_sql", "modulename": "sqlglot.generator", "qualname": "Generator.clone_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Clone) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.describe_sql": {"fullname": "sqlglot.generator.Generator.describe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.describe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.prepend_ctes": {"fullname": "sqlglot.generator.Generator.prepend_ctes", "modulename": "sqlglot.generator", "qualname": "Generator.prepend_ctes", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, sql: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.with_sql": {"fullname": "sqlglot.generator.Generator.with_sql", "modulename": "sqlglot.generator", "qualname": "Generator.with_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cte_sql": {"fullname": "sqlglot.generator.Generator.cte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tablealias_sql": {"fullname": "sqlglot.generator.Generator.tablealias_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tablealias_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TableAlias) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bitstring_sql": {"fullname": "sqlglot.generator.Generator.bitstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bitstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.BitString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.hexstring_sql": {"fullname": "sqlglot.generator.Generator.hexstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.hexstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.HexString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.bytestring_sql": {"fullname": "sqlglot.generator.Generator.bytestring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.bytestring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ByteString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rawstring_sql": {"fullname": "sqlglot.generator.Generator.rawstring_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rawstring_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RawString) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datatypesize_sql": {"fullname": "sqlglot.generator.Generator.datatypesize_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datatypesize_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataTypeSize) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.datatype_sql": {"fullname": "sqlglot.generator.Generator.datatype_sql", "modulename": "sqlglot.generator", "qualname": "Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.directory_sql": {"fullname": "sqlglot.generator.Generator.directory_sql", "modulename": "sqlglot.generator", "qualname": "Generator.directory_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Directory) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.delete_sql": {"fullname": "sqlglot.generator.Generator.delete_sql", "modulename": "sqlglot.generator", "qualname": "Generator.delete_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Delete) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.drop_sql": {"fullname": "sqlglot.generator.Generator.drop_sql", "modulename": "sqlglot.generator", "qualname": "Generator.drop_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Drop) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_sql": {"fullname": "sqlglot.generator.Generator.except_sql", "modulename": "sqlglot.generator", "qualname": "Generator.except_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.except_op": {"fullname": "sqlglot.generator.Generator.except_op", "modulename": "sqlglot.generator", "qualname": "Generator.except_op", "kind": "function", "doc": "

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\n", "signature": "(self, expression: sqlglot.expressions.Like) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.likeany_sql": {"fullname": "sqlglot.generator.Generator.likeany_sql", "modulename": "sqlglot.generator", "qualname": "Generator.likeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LikeAny) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.similarto_sql": {"fullname": "sqlglot.generator.Generator.similarto_sql", "modulename": "sqlglot.generator", "qualname": "Generator.similarto_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SimilarTo) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lt_sql": {"fullname": "sqlglot.generator.Generator.lt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lte_sql": {"fullname": "sqlglot.generator.Generator.lte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mod_sql": {"fullname": "sqlglot.generator.Generator.mod_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mul_sql": {"fullname": "sqlglot.generator.Generator.mul_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mul_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mul) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neq_sql": {"fullname": "sqlglot.generator.Generator.neq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeeq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeeq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeeq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeneq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeneq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeneq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeNEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.or_sql": {"fullname": "sqlglot.generator.Generator.or_sql", "modulename": "sqlglot.generator", "qualname": "Generator.or_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Or) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.slice_sql": {"fullname": "sqlglot.generator.Generator.slice_sql", "modulename": "sqlglot.generator", "qualname": "Generator.slice_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Slice) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sub_sql": {"fullname": "sqlglot.generator.Generator.sub_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sub_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Sub) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trycast_sql": {"fullname": "sqlglot.generator.Generator.trycast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trycast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.use_sql": {"fullname": "sqlglot.generator.Generator.use_sql", "modulename": "sqlglot.generator", "qualname": "Generator.use_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Use) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.binary": {"fullname": "sqlglot.generator.Generator.binary", "modulename": "sqlglot.generator", "qualname": "Generator.binary", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Binary, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.function_fallback_sql": {"fullname": "sqlglot.generator.Generator.function_fallback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.function_fallback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Func) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.func": {"fullname": "sqlglot.generator.Generator.func", "modulename": "sqlglot.generator", "qualname": "Generator.func", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*args: Union[str, sqlglot.expressions.Expression, NoneType],\tprefix: str = '(',\tsuffix: str = ')') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.format_args": {"fullname": "sqlglot.generator.Generator.format_args", "modulename": "sqlglot.generator", "qualname": "Generator.format_args", "kind": "function", "doc": "

\n", "signature": "(self, *args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.text_width": {"fullname": "sqlglot.generator.Generator.text_width", "modulename": "sqlglot.generator", "qualname": "Generator.text_width", "kind": "function", "doc": "

\n", "signature": "(self, args: Iterable) -> int:", "funcdef": "def"}, "sqlglot.generator.Generator.format_time": {"fullname": "sqlglot.generator.Generator.format_time", "modulename": "sqlglot.generator", "qualname": "Generator.format_time", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> Optional[str]:", "funcdef": "def"}, "sqlglot.generator.Generator.expressions": {"fullname": "sqlglot.generator.Generator.expressions", "modulename": "sqlglot.generator", "qualname": "Generator.expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression] = None,\tkey: Optional[str] = None,\tsqls: Optional[List[str]] = None,\tflat: bool = False,\tindent: bool = True,\tsep: str = ', ',\tprefix: str = '') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.op_expressions": {"fullname": "sqlglot.generator.Generator.op_expressions", "modulename": "sqlglot.generator", "qualname": "Generator.op_expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\top: str,\texpression: sqlglot.expressions.Expression,\tflat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.naked_property": {"fullname": "sqlglot.generator.Generator.naked_property", "modulename": "sqlglot.generator", "qualname": "Generator.naked_property", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.set_operation": {"fullname": "sqlglot.generator.Generator.set_operation", "modulename": "sqlglot.generator", "qualname": "Generator.set_operation", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tag_sql": {"fullname": "sqlglot.generator.Generator.tag_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tag_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Tag) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.token_sql": {"fullname": "sqlglot.generator.Generator.token_sql", "modulename": "sqlglot.generator", "qualname": "Generator.token_sql", "kind": "function", "doc": "

\n", "signature": "(self, token_type: sqlglot.tokens.TokenType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"fullname": "sqlglot.generator.Generator.userdefinedfunction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.userdefinedfunction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.UserDefinedFunction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.joinhint_sql": {"fullname": "sqlglot.generator.Generator.joinhint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.joinhint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JoinHint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.kwarg_sql": {"fullname": "sqlglot.generator.Generator.kwarg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.kwarg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Kwarg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.when_sql": {"fullname": "sqlglot.generator.Generator.when_sql", "modulename": "sqlglot.generator", "qualname": "Generator.when_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.When) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.merge_sql": {"fullname": "sqlglot.generator.Generator.merge_sql", "modulename": "sqlglot.generator", "qualname": "Generator.merge_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Merge) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tochar_sql": {"fullname": "sqlglot.generator.Generator.tochar_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tochar_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ToChar) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dictproperty_sql": {"fullname": "sqlglot.generator.Generator.dictproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dictproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DictProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dictrange_sql": {"fullname": "sqlglot.generator.Generator.dictrange_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dictrange_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DictRange) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dictsubproperty_sql": {"fullname": "sqlglot.generator.Generator.dictsubproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dictsubproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DictSubProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.oncluster_sql": {"fullname": "sqlglot.generator.Generator.oncluster_sql", "modulename": "sqlglot.generator", "qualname": "Generator.oncluster_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.OnCluster) -> str:", "funcdef": "def"}, "sqlglot.generator.cached_generator": {"fullname": "sqlglot.generator.cached_generator", "modulename": "sqlglot.generator", "qualname": "cached_generator", "kind": "function", "doc": "

Returns a cached generator.

\n", "signature": "(\tcache: Optional[Dict[int, str]] = None) -> Callable[[sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.helper": {"fullname": "sqlglot.helper", "modulename": "sqlglot.helper", "kind": "module", "doc": "

\n"}, "sqlglot.helper.AutoName": {"fullname": "sqlglot.helper.AutoName", "modulename": "sqlglot.helper", "qualname": "AutoName", "kind": "class", "doc": "

This is used for creating enum classes where auto() is the string form of the corresponding value's name.

\n", "bases": "enum.Enum"}, "sqlglot.helper.seq_get": {"fullname": "sqlglot.helper.seq_get", "modulename": "sqlglot.helper", "qualname": "seq_get", "kind": "function", "doc": "

Returns the value in seq at position index, or None if index is out of bounds.

\n", "signature": "(seq: Sequence[~T], index: int) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.helper.ensure_list": {"fullname": "sqlglot.helper.ensure_list", "modulename": "sqlglot.helper", "qualname": "ensure_list", "kind": "function", "doc": "

Ensures that a value is a list, otherwise casts or wraps it into one.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
    • \n
\n\n
Returns:
\n\n
\n

The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.ensure_collection": {"fullname": "sqlglot.helper.ensure_collection", "modulename": "sqlglot.helper", "qualname": "ensure_collection", "kind": "function", "doc": "

Ensures that a value is a collection (excluding str and bytes), otherwise wraps it into a list.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
    • \n
\n\n
Returns:
\n\n
\n

The value if it's a collection, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.csv": {"fullname": "sqlglot.helper.csv", "modulename": "sqlglot.helper", "qualname": "csv", "kind": "function", "doc": "

Formats any number of string arguments as CSV.

\n\n
Arguments:
\n\n
    \n
  • args: the string arguments to format.
    • \n
  • sep: the argument separator.
    • \n
\n\n
Returns:
\n\n
\n

The arguments formatted as a CSV string.

\n
\n", "signature": "(*args: str, sep: str = ', ') -> str:", "funcdef": "def"}, "sqlglot.helper.subclasses": {"fullname": "sqlglot.helper.subclasses", "modulename": "sqlglot.helper", "qualname": "subclasses", "kind": "function", "doc": "

Returns all subclasses for a collection of classes, possibly excluding some of them.

\n\n
Arguments:
\n\n
    \n
  • module_name: the name of the module to search for subclasses in.
    • \n
  • classes: class(es) we want to find the subclasses of.
    • \n
  • exclude: class(es) we want to exclude from the returned list.
    • \n
\n\n
Returns:
\n\n
\n

The target subclasses.

\n
\n", "signature": "(\tmodule_name: str,\tclasses: Union[Type, Tuple[Type, ...]],\texclude: Union[Type, Tuple[Type, ...]] = ()) -> List[Type]:", "funcdef": "def"}, "sqlglot.helper.apply_index_offset": {"fullname": "sqlglot.helper.apply_index_offset", "modulename": "sqlglot.helper", "qualname": "apply_index_offset", "kind": "function", "doc": "

Applies an offset to a given integer literal expression.

\n\n
Arguments:
\n\n
    \n
  • this: the target of the index
    • \n
  • expressions: the expression the offset will be applied to, wrapped in a list.
    • \n
  • offset: the offset that will be applied.
    • \n
\n\n
Returns:
\n\n
\n

The original expression with the offset applied to it, wrapped in a list. If the provided\n expressions argument contains more than one expressions, it's returned unaffected.

\n
\n", "signature": "(\tthis: sqlglot.expressions.Expression,\texpressions: List[Optional[~E]],\toffset: int) -> List[Optional[~E]]:", "funcdef": "def"}, "sqlglot.helper.camel_to_snake_case": {"fullname": "sqlglot.helper.camel_to_snake_case", "modulename": "sqlglot.helper", "qualname": "camel_to_snake_case", "kind": "function", "doc": "

Converts name from camelCase to snake_case and returns the result.

\n", "signature": "(name: str) -> str:", "funcdef": "def"}, "sqlglot.helper.while_changing": {"fullname": "sqlglot.helper.while_changing", "modulename": "sqlglot.helper", "qualname": "while_changing", "kind": "function", "doc": "

Applies a transformation to a given expression until a fix point is reached.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression to be transformed.
    • \n
  • func: the transformation to be applied.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tfunc: Callable[[sqlglot.expressions.Expression], ~E]) -> ~E:", "funcdef": "def"}, "sqlglot.helper.tsort": {"fullname": "sqlglot.helper.tsort", "modulename": "sqlglot.helper", "qualname": "tsort", "kind": "function", "doc": "

Sorts a given directed acyclic graph in topological order.

\n\n
Arguments:
\n\n
    \n
  • dag: the graph to be sorted.
    • \n
\n\n
Returns:
\n\n
\n

A list that contains all of the graph's nodes in topological order.

\n
\n", "signature": "(dag: Dict[~T, List[~T]]) -> List[~T]:", "funcdef": "def"}, "sqlglot.helper.open_file": {"fullname": "sqlglot.helper.open_file", "modulename": "sqlglot.helper", "qualname": "open_file", "kind": "function", "doc": "

Open a file that may be compressed as gzip and return it in universal newline mode.

\n", "signature": "(file_name: str) -> <class 'TextIO'>:", "funcdef": "def"}, "sqlglot.helper.csv_reader": {"fullname": "sqlglot.helper.csv_reader", "modulename": "sqlglot.helper", "qualname": "csv_reader", "kind": "function", "doc": "

Returns a csv reader given the expression READ_CSV(name, ['delimiter', '|', ...]).

\n\n
Arguments:
\n\n
    \n
  • read_csv: a ReadCSV function call
    • \n
\n\n
Yields:
\n\n
\n

A python csv reader.

\n
\n", "signature": "(read_csv: sqlglot.expressions.ReadCSV) -> Any:", "funcdef": "def"}, "sqlglot.helper.find_new_name": {"fullname": "sqlglot.helper.find_new_name", "modulename": "sqlglot.helper", "qualname": "find_new_name", "kind": "function", "doc": "

Searches for a new name.

\n\n
Arguments:
\n\n
    \n
  • taken: a collection of taken names.
    • \n
  • base: base name to alter.
    • \n
\n\n
Returns:
\n\n
\n

The new, available name.

\n
\n", "signature": "(taken: Collection[str], base: str) -> str:", "funcdef": "def"}, "sqlglot.helper.name_sequence": {"fullname": "sqlglot.helper.name_sequence", "modulename": "sqlglot.helper", "qualname": "name_sequence", "kind": "function", "doc": "

Returns a name generator given a prefix (e.g. a0, a1, a2, ... if the prefix is \"a\").

\n", "signature": "(prefix: str) -> Callable[[], str]:", "funcdef": "def"}, "sqlglot.helper.object_to_dict": {"fullname": "sqlglot.helper.object_to_dict", "modulename": "sqlglot.helper", "qualname": "object_to_dict", "kind": "function", "doc": "

Returns a dictionary created from an object's attributes.

\n", "signature": "(obj: Any, **kwargs) -> Dict:", "funcdef": "def"}, "sqlglot.helper.split_num_words": {"fullname": "sqlglot.helper.split_num_words", "modulename": "sqlglot.helper", "qualname": "split_num_words", "kind": "function", "doc": "

Perform a split on a value and return N words as a result with None used for words that don't exist.

\n\n
Arguments:
\n\n
    \n
  • value: the value to be split.
    • \n
  • sep: the value to use to split on.
    • \n
  • min_num_words: the minimum number of words that are going to be in the result.
    • \n
  • fill_from_start: indicates that if None values should be inserted at the start or end of the list.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> split_num_words("db.table", ".", 3)\n[None, 'db', 'table']\n>>> split_num_words("db.table", ".", 3, fill_from_start=False)\n['db', 'table', None]\n>>> split_num_words("db.table", ".", 1)\n['db', 'table']\n
\n
\n
\n\n
Returns:
\n\n
\n

The list of words returned by split, possibly augmented by a number of None values.

\n
\n", "signature": "(\tvalue: str,\tsep: str,\tmin_num_words: int,\tfill_from_start: bool = True) -> List[Optional[str]]:", "funcdef": "def"}, "sqlglot.helper.is_iterable": {"fullname": "sqlglot.helper.is_iterable", "modulename": "sqlglot.helper", "qualname": "is_iterable", "kind": "function", "doc": "

Checks if the value is an iterable, excluding the types str and bytes.

\n\n
Examples:
\n\n
\n
\n
>>> is_iterable([1,2])\nTrue\n>>> is_iterable("test")\nFalse\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • value: the value to check if it is an iterable.
    • \n
\n\n
Returns:
\n\n
\n

A bool value indicating if it is an iterable.

\n
\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "sqlglot.helper.flatten": {"fullname": "sqlglot.helper.flatten", "modulename": "sqlglot.helper", "qualname": "flatten", "kind": "function", "doc": "

Flattens an iterable that can contain both iterable and non-iterable elements. Objects of\ntype str and bytes are not regarded as iterables.

\n\n
Examples:
\n\n
\n
\n
>>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))\n[1, 2, 3, 4, 5, 'bla']\n>>> list(flatten([1, 2, 3]))\n[1, 2, 3]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: the value to be flattened.
    • \n
\n\n
Yields:
\n\n
\n

Non-iterable elements in values.

\n
\n", "signature": "(values: Iterable[Union[Iterable[Any], Any]]) -> Iterator[Any]:", "funcdef": "def"}, "sqlglot.helper.dict_depth": {"fullname": "sqlglot.helper.dict_depth", "modulename": "sqlglot.helper", "qualname": "dict_depth", "kind": "function", "doc": "

Get the nesting depth of a dictionary.

\n\n
For example:
\n\n
\n
\n
>>> dict_depth(None)\n0\n>>> dict_depth({})\n1\n>>> dict_depth({"a": "b"})\n1\n>>> dict_depth({"a": {}})\n2\n>>> dict_depth({"a": {"b": {}}})\n3\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • d (dict): dictionary
    • \n
\n\n
Returns:
\n\n
\n

int: depth

\n
\n", "signature": "(d: Dict) -> int:", "funcdef": "def"}, "sqlglot.helper.first": {"fullname": "sqlglot.helper.first", "modulename": "sqlglot.helper", "qualname": "first", "kind": "function", "doc": "

Returns the first element from an iterable.

\n\n

Useful for sets.

\n", "signature": "(it: Iterable[~T]) -> ~T:", "funcdef": "def"}, "sqlglot.helper.case_sensitive": {"fullname": "sqlglot.helper.case_sensitive", "modulename": "sqlglot.helper", "qualname": "case_sensitive", "kind": "function", "doc": "

Checks if text contains any case sensitive characters depending on dialect.

\n", "signature": "(\ttext: str,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> bool:", "funcdef": "def"}, "sqlglot.helper.should_identify": {"fullname": "sqlglot.helper.should_identify", "modulename": "sqlglot.helper", "qualname": "should_identify", "kind": "function", "doc": "

Checks if text should be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: the text to check.
    • \n
  • identify: \"always\" or True: always returns true.\n\"safe\": true if there is no uppercase or lowercase character in text, depending on dialect.
    • \n
  • dialect: the dialect to use in order to decide whether a text should be identified.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not a string should be identified.

\n
\n", "signature": "(\ttext: str,\tidentify: str | bool,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> bool:", "funcdef": "def"}, "sqlglot.lineage": {"fullname": "sqlglot.lineage", "modulename": "sqlglot.lineage", "kind": "module", "doc": "

\n"}, "sqlglot.lineage.Node": {"fullname": "sqlglot.lineage.Node", "modulename": "sqlglot.lineage", "qualname": "Node", "kind": "class", "doc": "

\n"}, "sqlglot.lineage.Node.__init__": {"fullname": "sqlglot.lineage.Node.__init__", "modulename": "sqlglot.lineage", "qualname": "Node.__init__", "kind": "function", "doc": "

\n", "signature": "(\tname: str,\texpression: sqlglot.expressions.Expression,\tsource: sqlglot.expressions.Expression,\tdownstream: List[sqlglot.lineage.Node] = <factory>,\talias: str = '')"}, "sqlglot.lineage.Node.walk": {"fullname": "sqlglot.lineage.Node.walk", "modulename": "sqlglot.lineage", "qualname": "Node.walk", "kind": "function", "doc": "

\n", "signature": "(self) -> Iterator[sqlglot.lineage.Node]:", "funcdef": "def"}, "sqlglot.lineage.Node.to_html": {"fullname": "sqlglot.lineage.Node.to_html", "modulename": "sqlglot.lineage", "qualname": "Node.to_html", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.lineage.LineageHTML:", "funcdef": "def"}, "sqlglot.lineage.lineage": {"fullname": "sqlglot.lineage.lineage", "modulename": "sqlglot.lineage", "qualname": "lineage", "kind": "function", "doc": "

Build the lineage graph for a column of a SQL query.

\n\n
Arguments:
\n\n
    \n
  • column: The column to build the lineage for.
    • \n
  • sql: The SQL string or expression.
    • \n
  • schema: The schema of tables.
    • \n
  • sources: A mapping of queries which will be used to continue building lineage.
    • \n
  • dialect: The dialect of input SQL.
    • \n
  • **kwargs: Qualification optimizer kwargs.
    • \n
\n\n
Returns:
\n\n
\n

A lineage node.

\n
\n", "signature": "(\tcolumn: str | sqlglot.expressions.Column,\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tsources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.lineage.Node:", "funcdef": "def"}, "sqlglot.lineage.LineageHTML": {"fullname": "sqlglot.lineage.LineageHTML", "modulename": "sqlglot.lineage", "qualname": "LineageHTML", "kind": "class", "doc": "

Node to HTML generator using vis.js.

\n\n

https://visjs.github.io/vis-network/docs/network/

\n"}, "sqlglot.lineage.LineageHTML.__init__": {"fullname": "sqlglot.lineage.LineageHTML.__init__", "modulename": "sqlglot.lineage", "qualname": "LineageHTML.__init__", "kind": "function", "doc": "

\n", "signature": "(\tnode: sqlglot.lineage.Node,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\timports: bool = True,\t**opts: Any)"}, "sqlglot.optimizer": {"fullname": "sqlglot.optimizer", "modulename": "sqlglot.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "annotate_types", "kind": "function", "doc": "

Infers the types of an expression, annotating its AST accordingly.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"y": {"cola": "SMALLINT"}}\n>>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x"\n>>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema)\n>>> annotated_expr.expressions[0].type.this  # Get the type of "x.cola + 2.5 AS cola"\n<Type.DOUBLE: 'DOUBLE'>\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: Expression to annotate.
    • \n
  • schema: Database schema.
    • \n
  • annotators: Maps expression type to corresponding annotation function.
    • \n
  • coerces_to: Maps expression type to set of types that it can be coerced into.
    • \n
\n\n
Returns:
\n\n
\n

The expression annotated with types.

\n
\n", "signature": "(\texpression: ~E,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tannotators: Optional[Dict[Type[~E], Callable[[sqlglot.optimizer.annotate_types.TypeAnnotator, ~E], ~E]]] = None,\tcoerces_to: Optional[Dict[sqlglot.expressions.DataType.Type, Set[sqlglot.expressions.DataType.Type]]] = None) -> ~E:", "funcdef": "def"}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator", "kind": "class", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.__init__", "kind": "function", "doc": "

\n", "signature": "(\tschema: sqlglot.schema.Schema,\tannotators: Optional[Dict[Type[~E], Callable[[sqlglot.optimizer.annotate_types.TypeAnnotator, ~E], ~E]]] = None,\tcoerces_to: Optional[Dict[sqlglot.expressions.DataType.Type, Set[sqlglot.expressions.DataType.Type]]] = None)"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.annotate", "kind": "function", "doc": "

\n", "signature": "(self, expression: ~E) -> ~E:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.canonicalize.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "canonicalize", "kind": "function", "doc": "

Converts a sql expression into a standard form.

\n\n

This method relies on annotate_types because many of the\nconversions rely on type inference.

\n\n
Arguments:
\n\n
    \n
  • expression: The expression to canonicalize.
    • \n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"fullname": "sqlglot.optimizer.canonicalize.add_text_to_concat", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "add_text_to_concat", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.coerce_type": {"fullname": "sqlglot.optimizer.canonicalize.coerce_type", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "coerce_type", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"fullname": "sqlglot.optimizer.canonicalize.remove_redundant_casts", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "remove_redundant_casts", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"fullname": "sqlglot.optimizer.canonicalize.ensure_bool_predicates", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "ensure_bool_predicates", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "qualname": "eliminate_ctes", "kind": "function", "doc": "

Remove unused CTEs from an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "WITH y AS (SELECT a FROM x) SELECT a FROM z"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_ctes(expression).sql()\n'SELECT a FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "eliminate_joins", "kind": "function", "doc": "

Remove unused joins from an expression.

\n\n

This only removes joins when we know that the join condition doesn't produce duplicate rows.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT x.a FROM x LEFT JOIN (SELECT DISTINCT y.b FROM y) AS y ON x.b = y.b"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_joins(expression).sql()\n'SELECT x.a FROM x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins.join_condition": {"fullname": "sqlglot.optimizer.eliminate_joins.join_condition", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "join_condition", "kind": "function", "doc": "

Extract the join condition from a join expression.

\n\n
Arguments:
\n\n
    \n
  • join (exp.Join)
    • \n
\n\n
Returns:
\n\n
\n

tuple[list[str], list[str], exp.Expression]:\n Tuple of (source key, join key, remaining predicate)

\n
\n", "signature": "(join):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "qualname": "eliminate_subqueries", "kind": "function", "doc": "

Rewrite derived tables as CTES, deduplicating if possible.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y'\n
\n
\n
\n\n
This also deduplicates common subqueries:
\n\n
\n
\n
>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y CROSS JOIN (SELECT * FROM x) AS z")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y CROSS JOIN y AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "qualname": "isolate_table_selects", "kind": "function", "doc": "

\n", "signature": "(expression, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to merge derived tables into the outer query.

\n\n

This also merges CTEs if they are selected from only once.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y")\n>>> merge_subqueries(expression).sql()\n'SELECT x.a FROM x CROSS JOIN y'\n
\n
\n
\n\n

If leave_tables_isolated is True, this will not merge inner queries into outer\nqueries if it would result in multiple table selects in a single query:

\n\n
\n
\n
\n

expression = sqlglot.parse_one(\"SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y\")\n merge_subqueries(expression, leave_tables_isolated=True).sql()\n 'SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y'

\n
\n
\n
\n\n

Inspired by https://dev.mysql.com/doc/refman/8.0/en/derived-table-optimization.html

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
  • leave_tables_isolated (bool):
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_ctes", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_ctes", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_derived_tables", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_derived_tables", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize": {"fullname": "sqlglot.optimizer.normalize", "modulename": "sqlglot.optimizer.normalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.normalize.normalize": {"fullname": "sqlglot.optimizer.normalize.normalize", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalize", "kind": "function", "doc": "

Rewrite sqlglot AST into conjunctive normal form or disjunctive normal form.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(x AND y) OR z")\n>>> normalize(expression, dnf=False).sql()\n'(x OR z) AND (y OR z)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to normalize
    • \n
  • dnf: rewrite in disjunctive normal form instead.
    • \n
  • max_distance (int): the maximal estimated distance from cnf/dnf to attempt conversion
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: normalized expression

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tdnf: bool = False,\tmax_distance: int = 128):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalized": {"fullname": "sqlglot.optimizer.normalize.normalized", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalized", "kind": "function", "doc": "

\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalization_distance": {"fullname": "sqlglot.optimizer.normalize.normalization_distance", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalization_distance", "kind": "function", "doc": "

The difference in the number of predicates between the current expression and the normalized form.

\n\n

This is used as an estimate of the cost of the conversion which is exponential in complexity.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(a AND b) OR (c AND d)")\n>>> normalization_distance(expression)\n4\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to compute distance
    • \n
  • dnf (bool): compute to dnf distance instead
    • \n
\n\n
Returns:
\n\n
\n

int: difference

\n
\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.distributive_law": {"fullname": "sqlglot.optimizer.normalize.distributive_law", "modulename": "sqlglot.optimizer.normalize", "qualname": "distributive_law", "kind": "function", "doc": "

x OR (y AND z) -> (x OR y) AND (x OR z)\n(x AND y) OR (y AND z) -> (x OR y) AND (x OR z) AND (y OR y) AND (y OR z)

\n", "signature": "(expression, dnf, max_distance, generate):", "funcdef": "def"}, "sqlglot.optimizer.normalize_identifiers": {"fullname": "sqlglot.optimizer.normalize_identifiers", "modulename": "sqlglot.optimizer.normalize_identifiers", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.normalize_identifiers.normalize_identifiers": {"fullname": "sqlglot.optimizer.normalize_identifiers.normalize_identifiers", "modulename": "sqlglot.optimizer.normalize_identifiers", "qualname": "normalize_identifiers", "kind": "function", "doc": "

Normalize all unquoted identifiers to either lower or upper case, depending on\nthe dialect. This essentially makes those identifiers case-insensitive.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one('SELECT Bar.A AS A FROM "Foo".Bar')\n>>> normalize_identifiers(expression).sql()\n'SELECT bar.a AS a FROM "Foo".bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to transform.
    • \n
  • dialect: The dialect to use in order to decide how to normalize identifiers.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: ~E,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> ~E:", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "optimize_joins", "kind": "function", "doc": "

Removes cross joins if possible and reorder joins based on predicate dependencies.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> optimize_joins(parse_one("SELECT * FROM x CROSS JOIN y JOIN z ON x.a = z.a AND y.a = z.a")).sql()\n'SELECT * FROM x JOIN z ON x.a = z.a AND TRUE JOIN y ON y.a = z.a'\n
\n
\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"fullname": "sqlglot.optimizer.optimize_joins.reorder_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "reorder_joins", "kind": "function", "doc": "

Reorder joins by topological sort order based on predicate references.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.normalize": {"fullname": "sqlglot.optimizer.optimize_joins.normalize", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "normalize", "kind": "function", "doc": "

Remove INNER and OUTER from joins as they are optional.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.other_table_names": {"fullname": "sqlglot.optimizer.optimize_joins.other_table_names", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "other_table_names", "kind": "function", "doc": "

\n", "signature": "(join, exclude):", "funcdef": "def"}, "sqlglot.optimizer.optimizer": {"fullname": "sqlglot.optimizer.optimizer", "modulename": "sqlglot.optimizer.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimizer.optimize": {"fullname": "sqlglot.optimizer.optimizer.optimize", "modulename": "sqlglot.optimizer.optimizer", "qualname": "optimize", "kind": "function", "doc": "

Rewrite a sqlglot AST into an optimized form.

\n\n
Arguments:
\n\n
    \n
  • expression: expression to optimize
    • \n
  • schema: database schema.\nThis can either be an instance of sqlglot.optimizer.Schema or a mapping in one of\nthe following forms:\n 1. {table: {col: type}}\n 2. {db: {table: {col: type}}}\n 3. {catalog: {db: {table: {col: type}}}}\nIf no schema is provided then the default schema defined at sqlgot.schema will be used
    • \n
  • db: specify the default database, as might be set by a USE DATABASE db statement
    • \n
  • catalog: specify the default catalog, as might be set by a USE CATALOG c statement
    • \n
  • dialect: The dialect to parse the sql string.
    • \n
  • rules: sequence of optimizer rules to use.\nMany of the rules require tables and columns to be qualified.\nDo not remove qualify from the sequence of rules unless you know what you're doing!
    • \n
  • *kwargs: If a rule has a keyword argument with a same name in *kwargs, it will be passed in.
    • \n
\n\n
Returns:
\n\n
\n

The optimized expression.

\n
\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\tschema: Union[dict, sqlglot.schema.Schema, NoneType] = None,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\trules: Sequence[Callable] = (<function qualify at 0x7f5e613d37f0>, <function pushdown_projections at 0x7f5e613d31c0>, <function normalize at 0x7f5e614032e0>, <function unnest_subqueries at 0x7f5e613d3be0>, <function pushdown_predicates at 0x7f5e613d2050>, <function optimize_joins at 0x7f5e613d1cf0>, <function eliminate_subqueries at 0x7f5e613d0ee0>, <function merge_subqueries at 0x7f5e613d0f70>, <function eliminate_joins at 0x7f5e614031c0>, <function eliminate_ctes at 0x7f5e614030a0>, <function quote_identifiers at 0x7f5e613d3130>, <function annotate_types at 0x7f5e61453520>, <function canonicalize at 0x7f5e61402b00>, <function simplify at 0x7f5e61403490>),\t**kwargs) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_predicates", "kind": "function", "doc": "

Rewrite sqlglot AST to pushdown predicates in FROMS and JOINS

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT y.a AS a FROM (SELECT x.a AS a FROM x AS x) AS y WHERE y.a = 1"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_predicates(expression).sql()\n'SELECT y.a AS a FROM (SELECT x.a AS a FROM x AS x WHERE x.a = 1) AS y WHERE TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown", "kind": "function", "doc": "

\n", "signature": "(condition, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_cnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_cnf", "kind": "function", "doc": "

If the predicates are in CNF like form, we can simply replace each block in the parent.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_dnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_dnf", "kind": "function", "doc": "

If the predicates are in DNF form, we can only push down conditions that are in all blocks.\nAdditionally, we can't remove predicates from their original form.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"fullname": "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "nodes_for_predicate", "kind": "function", "doc": "

\n", "signature": "(predicate, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"fullname": "sqlglot.optimizer.pushdown_predicates.replace_aliases", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "replace_aliases", "kind": "function", "doc": "

\n", "signature": "(source, predicate):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"fullname": "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "DEFAULT_SELECTION", "kind": "function", "doc": "

\n", "signature": "():", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "pushdown_projections", "kind": "function", "doc": "

Rewrite sqlglot AST to remove unused columns projections.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT y.a AS a FROM (SELECT x.a AS a, x.b AS b FROM x) AS y"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_projections(expression).sql()\n'SELECT y.a AS a FROM (SELECT x.a AS a FROM x) AS y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
  • remove_unused_selections (bool): remove selects that are unused
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, schema=None, remove_unused_selections=True):", "funcdef": "def"}, "sqlglot.optimizer.qualify": {"fullname": "sqlglot.optimizer.qualify", "modulename": "sqlglot.optimizer.qualify", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify.qualify": {"fullname": "sqlglot.optimizer.qualify.qualify", "modulename": "sqlglot.optimizer.qualify", "qualname": "qualify", "kind": "function", "doc": "

Rewrite sqlglot AST to have normalized and qualified tables and columns.

\n\n

This step is necessary for all further SQLGlot optimizations.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"tbl": {"col": "INT"}}\n>>> expression = sqlglot.parse_one("SELECT col FROM tbl")\n>>> qualify(expression, schema=schema).sql()\n'SELECT "tbl"."col" AS "col" FROM "tbl" AS "tbl"'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: Expression to qualify.
    • \n
  • db: Default database name for tables.
    • \n
  • catalog: Default catalog name for tables.
    • \n
  • schema: Schema to infer column names and types.
    • \n
  • expand_alias_refs: Whether or not to expand references to aliases.
    • \n
  • infer_schema: Whether or not to infer the schema if missing.
    • \n
  • isolate_tables: Whether or not to isolate table selects.
    • \n
  • qualify_columns: Whether or not to qualify columns.
    • \n
  • validate_qualify_columns: Whether or not to validate columns.
    • \n
  • quote_identifiers: Whether or not to run the quote_identifiers step.\nThis step is necessary to ensure correctness for case sensitive queries.\nBut this flag is provided in case this step is performed at a later time.
    • \n
  • identify: If True, quote all identifiers, else only necessary ones.
    • \n
\n\n
Returns:
\n\n
\n

The qualified expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tschema: Union[dict, sqlglot.schema.Schema, NoneType] = None,\texpand_alias_refs: bool = True,\tinfer_schema: Optional[bool] = None,\tisolate_tables: bool = False,\tqualify_columns: bool = True,\tvalidate_qualify_columns: bool = True,\tquote_identifiers: bool = True,\tidentify: bool = True) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "qualify_columns", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified columns.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"tbl": {"col": "INT"}}\n>>> expression = sqlglot.parse_one("SELECT col FROM tbl")\n>>> qualify_columns(expression, schema).sql()\n'SELECT tbl.col AS col FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to qualify
    • \n
  • schema: Database schema
    • \n
  • expand_alias_refs: whether or not to expand references to aliases
    • \n
  • infer_schema: whether or not to infer the schema if missing
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: qualified expression

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema],\texpand_alias_refs: bool = True,\tinfer_schema: Optional[bool] = None) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.validate_qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "validate_qualify_columns", "kind": "function", "doc": "

Raise an OptimizeError if any columns aren't qualified

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.quote_identifiers": {"fullname": "sqlglot.optimizer.qualify_columns.quote_identifiers", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "quote_identifiers", "kind": "function", "doc": "

Makes sure all identifiers that need to be quoted are quoted.

\n", "signature": "(\texpression: ~E,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tidentify: bool = True) -> ~E:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver", "kind": "class", "doc": "

Helper for resolving columns.

\n\n

This is a class so we can lazily load some things and easily share them across functions.

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.__init__", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.__init__", "kind": "function", "doc": "

\n", "signature": "(scope, schema, infer_schema: bool = True)"}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_table", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_table", "kind": "function", "doc": "

Get the table for a column name.

\n\n
Arguments:
\n\n
    \n
  • column_name: The column name to find the table for.
    • \n
\n\n
Returns:
\n\n
\n

The table name if it can be found/inferred.

\n
\n", "signature": "(self, column_name: str) -> Optional[sqlglot.expressions.Identifier]:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.all_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.all_columns", "kind": "variable", "doc": "

All available columns of all sources in this scope

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_source_columns", "kind": "function", "doc": "

Resolve the source columns for a given source name

\n", "signature": "(self, name, only_visible=False):", "funcdef": "def"}, "sqlglot.optimizer.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "qualname": "qualify_tables", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified tables. Additionally, this\nreplaces \"join constructs\" (*) by equivalent SELECT * subqueries.

\n\n
Examples:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT 1 FROM tbl")\n>>> qualify_tables(expression, db="db").sql()\n'SELECT 1 FROM db.tbl AS tbl'\n>>>\n>>> expression = sqlglot.parse_one("SELECT * FROM (tbl1 JOIN tbl2 ON id1 = id2)")\n>>> qualify_tables(expression).sql()\n'SELECT * FROM (SELECT * FROM tbl1 AS tbl1 JOIN tbl2 AS tbl2 ON id1 = id2) AS _q_0'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: Expression to qualify
    • \n
  • db: Database name
    • \n
  • catalog: Catalog name
    • \n
  • schema: A schema to populate
    • \n
\n\n
Returns:
\n\n
\n

The qualified expression.

\n
\n\n

(*) See section 7.2.1.2 in https://www.postgresql.org/docs/current/queries-table-expressions.html

\n", "signature": "(\texpression: ~E,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tschema: Optional[sqlglot.schema.Schema] = None) -> ~E:", "funcdef": "def"}, "sqlglot.optimizer.scope": {"fullname": "sqlglot.optimizer.scope", "modulename": "sqlglot.optimizer.scope", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.scope.ScopeType": {"fullname": "sqlglot.optimizer.scope.ScopeType", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "enum.Enum"}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"fullname": "sqlglot.optimizer.scope.ScopeType.ROOT", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.ROOT", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.ROOT: 1>"}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"fullname": "sqlglot.optimizer.scope.ScopeType.SUBQUERY", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.SUBQUERY", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.SUBQUERY: 2>"}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"fullname": "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.DERIVED_TABLE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.DERIVED_TABLE: 3>"}, "sqlglot.optimizer.scope.ScopeType.CTE": {"fullname": "sqlglot.optimizer.scope.ScopeType.CTE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.CTE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.CTE: 4>"}, "sqlglot.optimizer.scope.ScopeType.UNION": {"fullname": "sqlglot.optimizer.scope.ScopeType.UNION", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UNION: 5>"}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"fullname": "sqlglot.optimizer.scope.ScopeType.UDTF", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UDTF", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UDTF: 6>"}, "sqlglot.optimizer.scope.Scope": {"fullname": "sqlglot.optimizer.scope.Scope", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope", "kind": "class", "doc": "

Selection scope.

\n\n
Attributes:
\n\n
    \n
  • expression (exp.Select|exp.Union): Root expression of this scope
    • \n
  • sources (dict[str, exp.Table|Scope]): Mapping of source name to either\na Table expression or another Scope instance. For example:\n SELECT * FROM x {\"x\": Table(this=\"x\")}\n SELECT * FROM x AS y {\"y\": Table(this=\"x\")}\n SELECT * FROM (SELECT ...) AS y {\"y\": Scope(...)}
    • \n
  • lateral_sources (dict[str, exp.Table|Scope]): Sources from laterals\nFor example:\n SELECT c FROM x LATERAL VIEW EXPLODE (a) AS c;\nThe LATERAL VIEW EXPLODE gets x as a source.
    • \n
  • outer_column_list (list[str]): If this is a derived table or CTE, and the outer query\ndefines a column list of it's alias of this scope, this is that list of columns.\nFor example:\n SELECT * FROM (SELECT ...) AS y(col1, col2)\nThe inner query would have [\"col1\", \"col2\"] for its outer_column_list
    • \n
  • parent (Scope): Parent scope
    • \n
  • scope_type (ScopeType): Type of this scope, relative to it's parent
    • \n
  • subquery_scopes (list[Scope]): List of all child scopes for subqueries
    • \n
  • cte_scopes (list[Scope]): List of all child scopes for CTEs
    • \n
  • derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
    • \n
  • udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
    • \n
  • table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
    • \n
  • union_scopes (list[Scope, Scope]): If this Scope is for a Union expression, this will be\na list of the left and right child scopes.
    • \n
\n"}, "sqlglot.optimizer.scope.Scope.__init__": {"fullname": "sqlglot.optimizer.scope.Scope.__init__", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression,\tsources=None,\touter_column_list=None,\tparent=None,\tscope_type=<ScopeType.ROOT: 1>,\tlateral_sources=None)"}, "sqlglot.optimizer.scope.Scope.clear_cache": {"fullname": "sqlglot.optimizer.scope.Scope.clear_cache", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.clear_cache", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.branch": {"fullname": "sqlglot.optimizer.scope.Scope.branch", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.branch", "kind": "function", "doc": "

Branch from the current scope to a new, inner scope

\n", "signature": "(self, expression, scope_type, chain_sources=None, **kwargs):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.walk": {"fullname": "sqlglot.optimizer.scope.Scope.walk", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.walk", "kind": "function", "doc": "

\n", "signature": "(self, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find": {"fullname": "sqlglot.optimizer.scope.Scope.find", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find", "kind": "function", "doc": "

Returns the first node in this scope which matches at least one of the specified types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
    • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
    • \n
\n\n
Returns:
\n\n
\n

exp.Expression: the node which matches the criteria or None if no node matching\n the criteria was found.

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find_all": {"fullname": "sqlglot.optimizer.scope.Scope.find_all", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this scope and only yields those that\nmatch at least one of the specified expression types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
    • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
    • \n
\n\n
Yields:
\n\n
\n

exp.Expression: nodes

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.replace": {"fullname": "sqlglot.optimizer.scope.Scope.replace", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.replace", "kind": "function", "doc": "

Replace old with new.

\n\n

This can be used instead of exp.Expression.replace to ensure the Scope is kept up-to-date.

\n\n
Arguments:
\n\n
    \n
  • old (exp.Expression): old node
    • \n
  • new (exp.Expression): new node
    • \n
\n", "signature": "(self, old, new):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.tables": {"fullname": "sqlglot.optimizer.scope.Scope.tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.tables", "kind": "variable", "doc": "

List of tables in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Table]: tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.ctes": {"fullname": "sqlglot.optimizer.scope.Scope.ctes", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ctes", "kind": "variable", "doc": "

List of CTEs in this scope.

\n\n
Returns:
\n\n
\n

list[exp.CTE]: ctes

\n
\n"}, "sqlglot.optimizer.scope.Scope.derived_tables": {"fullname": "sqlglot.optimizer.scope.Scope.derived_tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.derived_tables", "kind": "variable", "doc": "

List of derived tables in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM (SELECT ...) <- that's a derived table

\n
\n\n
Returns:
\n\n
\n

list[exp.Subquery]: derived tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.udtfs": {"fullname": "sqlglot.optimizer.scope.Scope.udtfs", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.udtfs", "kind": "variable", "doc": "

List of \"User Defined Tabular Functions\" in this scope.

\n\n
Returns:
\n\n
\n

list[exp.UDTF]: UDTFs

\n
\n"}, "sqlglot.optimizer.scope.Scope.subqueries": {"fullname": "sqlglot.optimizer.scope.Scope.subqueries", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.subqueries", "kind": "variable", "doc": "

List of subqueries in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery

\n
\n\n
Returns:
\n\n
\n

list[exp.Subqueryable]: subqueries

\n
\n"}, "sqlglot.optimizer.scope.Scope.columns": {"fullname": "sqlglot.optimizer.scope.Scope.columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.columns", "kind": "variable", "doc": "

List of columns in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances in this scope, plus any\n Columns that reference this scope from correlated subqueries.

\n
\n"}, "sqlglot.optimizer.scope.Scope.selected_sources": {"fullname": "sqlglot.optimizer.scope.Scope.selected_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selected_sources", "kind": "variable", "doc": "

Mapping of nodes and sources that are actually selected from in this scope.

\n\n

That is, all tables in a schema are selectable at any point. But a\ntable only becomes a selected source if it's included in a FROM or JOIN clause.

\n\n
Returns:
\n\n
\n

dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes

\n
\n"}, "sqlglot.optimizer.scope.Scope.cte_sources": {"fullname": "sqlglot.optimizer.scope.Scope.cte_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.cte_sources", "kind": "variable", "doc": "

Sources that are CTEs.

\n\n
Returns:
\n\n
\n

dict[str, Scope]: Mapping of source alias to Scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.selects": {"fullname": "sqlglot.optimizer.scope.Scope.selects", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selects", "kind": "variable", "doc": "

Select expressions of this scope.

\n\n

For example, for the following expression:\n SELECT 1 as a, 2 as b FROM x

\n\n

The outputs are the \"1 as a\" and \"2 as b\" expressions.

\n\n
Returns:
\n\n
\n

list[exp.Expression]: expressions

\n
\n"}, "sqlglot.optimizer.scope.Scope.external_columns": {"fullname": "sqlglot.optimizer.scope.Scope.external_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.external_columns", "kind": "variable", "doc": "

Columns that appear to reference sources in outer scopes.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that don't reference\n sources in the current scope.

\n
\n"}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"fullname": "sqlglot.optimizer.scope.Scope.unqualified_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.unqualified_columns", "kind": "variable", "doc": "

Unqualified columns in the current scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Unqualified columns

\n
\n"}, "sqlglot.optimizer.scope.Scope.join_hints": {"fullname": "sqlglot.optimizer.scope.Scope.join_hints", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.join_hints", "kind": "variable", "doc": "

Hints that exist in the scope that reference tables

\n\n
Returns:
\n\n
\n

list[exp.JoinHint]: Join hints that are referenced within the scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.source_columns": {"fullname": "sqlglot.optimizer.scope.Scope.source_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.source_columns", "kind": "function", "doc": "

Get all columns in the current scope for a particular source.

\n\n
Arguments:
\n\n
    \n
  • source_name (str): Name of the source
    • \n
\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that reference source_name

\n
\n", "signature": "(self, source_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.is_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_subquery", "kind": "variable", "doc": "

Determine if this scope is a subquery

\n"}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"fullname": "sqlglot.optimizer.scope.Scope.is_derived_table", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_derived_table", "kind": "variable", "doc": "

Determine if this scope is a derived table

\n"}, "sqlglot.optimizer.scope.Scope.is_union": {"fullname": "sqlglot.optimizer.scope.Scope.is_union", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_union", "kind": "variable", "doc": "

Determine if this scope is a union

\n"}, "sqlglot.optimizer.scope.Scope.is_cte": {"fullname": "sqlglot.optimizer.scope.Scope.is_cte", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_cte", "kind": "variable", "doc": "

Determine if this scope is a common table expression

\n"}, "sqlglot.optimizer.scope.Scope.is_root": {"fullname": "sqlglot.optimizer.scope.Scope.is_root", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_root", "kind": "variable", "doc": "

Determine if this is the root scope

\n"}, "sqlglot.optimizer.scope.Scope.is_udtf": {"fullname": "sqlglot.optimizer.scope.Scope.is_udtf", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_udtf", "kind": "variable", "doc": "

Determine if this scope is a UDTF (User Defined Table Function)

\n"}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_correlated_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_correlated_subquery", "kind": "variable", "doc": "

Determine if this scope is a correlated subquery

\n"}, "sqlglot.optimizer.scope.Scope.rename_source": {"fullname": "sqlglot.optimizer.scope.Scope.rename_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.rename_source", "kind": "function", "doc": "

Rename a source in this scope

\n", "signature": "(self, old_name, new_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.add_source": {"fullname": "sqlglot.optimizer.scope.Scope.add_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.add_source", "kind": "function", "doc": "

Add a source to this scope

\n", "signature": "(self, name, source):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.remove_source": {"fullname": "sqlglot.optimizer.scope.Scope.remove_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.remove_source", "kind": "function", "doc": "

Remove a source from this scope

\n", "signature": "(self, name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.traverse": {"fullname": "sqlglot.optimizer.scope.Scope.traverse", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.traverse", "kind": "function", "doc": "

Traverse the scope tree from this node.

\n\n
Yields:
\n\n
\n

Scope: scope instances in depth-first-search post-order

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.ref_count": {"fullname": "sqlglot.optimizer.scope.Scope.ref_count", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ref_count", "kind": "function", "doc": "

Count the number of times each scope in this tree is referenced.

\n\n
Returns:
\n\n
\n

dict[int, int]: Mapping of Scope instance ID to reference count

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.traverse_scope": {"fullname": "sqlglot.optimizer.scope.traverse_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "traverse_scope", "kind": "function", "doc": "

Traverse an expression by it's \"scopes\".

\n\n

\"Scope\" represents the current context of a Select statement.

\n\n

This is helpful for optimizing queries, where we need more information than\nthe expression tree itself. For example, we might care about the source\nnames within a subquery. Returns a list because a generator could result in\nincomplete properties which is confusing.

\n\n
Examples:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")\n>>> scopes = traverse_scope(expression)\n>>> scopes[0].expression.sql(), list(scopes[0].sources)\n('SELECT a FROM x', ['x'])\n>>> scopes[1].expression.sql(), list(scopes[1].sources)\n('SELECT a FROM (SELECT a FROM x) AS y', ['y'])\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to traverse
    • \n
\n\n
Returns:
\n\n
\n

list[Scope]: scope instances

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> List[sqlglot.optimizer.scope.Scope]:", "funcdef": "def"}, "sqlglot.optimizer.scope.build_scope": {"fullname": "sqlglot.optimizer.scope.build_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "build_scope", "kind": "function", "doc": "

Build a scope tree.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to build the scope tree for
    • \n
\n\n
Returns:
\n\n
\n

Scope: root scope

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> Optional[sqlglot.optimizer.scope.Scope]:", "funcdef": "def"}, "sqlglot.optimizer.scope.walk_in_scope": {"fullname": "sqlglot.optimizer.scope.walk_in_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "walk_in_scope", "kind": "function", "doc": "

Returns a generator object which visits all nodes in the syntrax tree, stopping at\nnodes that start child scopes.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression):
    • \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
    • \n
\n\n
Yields:
\n\n
\n

tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key

\n
\n", "signature": "(expression, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify": {"fullname": "sqlglot.optimizer.simplify", "modulename": "sqlglot.optimizer.simplify", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.simplify.simplify": {"fullname": "sqlglot.optimizer.simplify.simplify", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify", "kind": "function", "doc": "

Rewrite sqlglot AST to simplify expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("TRUE AND TRUE")\n>>> simplify(expression).sql()\n'TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to simplify
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: simplified expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.rewrite_between": {"fullname": "sqlglot.optimizer.simplify.rewrite_between", "modulename": "sqlglot.optimizer.simplify", "qualname": "rewrite_between", "kind": "function", "doc": "

Rewrite x between y and z to x >= y AND x <= z.

\n\n

This is done because comparison simplification is only done on lt/lte/gt/gte.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_not": {"fullname": "sqlglot.optimizer.simplify.simplify_not", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_not", "kind": "function", "doc": "

Demorgan's Law\nNOT (x OR y) -> NOT x AND NOT y\nNOT (x AND y) -> NOT x OR NOT y

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.flatten": {"fullname": "sqlglot.optimizer.simplify.flatten", "modulename": "sqlglot.optimizer.simplify", "qualname": "flatten", "kind": "function", "doc": "

A AND (B AND C) -> A AND B AND C\nA OR (B OR C) -> A OR B OR C

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_connectors": {"fullname": "sqlglot.optimizer.simplify.simplify_connectors", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_connectors", "kind": "function", "doc": "

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_compliments": {"fullname": "sqlglot.optimizer.simplify.remove_compliments", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_compliments", "kind": "function", "doc": "

Removing compliments.

\n\n

A AND NOT A -> FALSE\nA OR NOT A -> TRUE

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.uniq_sort": {"fullname": "sqlglot.optimizer.simplify.uniq_sort", "modulename": "sqlglot.optimizer.simplify", "qualname": "uniq_sort", "kind": "function", "doc": "

Uniq and sort a connector.

\n\n

C AND A AND B AND B -> A AND B AND C

\n", "signature": "(expression, generate, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"fullname": "sqlglot.optimizer.simplify.absorb_and_eliminate", "modulename": "sqlglot.optimizer.simplify", "qualname": "absorb_and_eliminate", "kind": "function", "doc": "

absorption:\n A AND (A OR B) -> A\n A OR (A AND B) -> A\n A AND (NOT A OR B) -> A AND B\n A OR (NOT A AND B) -> A OR B\nelimination:\n (A AND B) OR (A AND NOT B) -> A\n (A OR B) AND (A OR NOT B) -> A

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_literals": {"fullname": "sqlglot.optimizer.simplify.simplify_literals", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_literals", "kind": "function", "doc": "

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_parens": {"fullname": "sqlglot.optimizer.simplify.simplify_parens", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_parens", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_where_true": {"fullname": "sqlglot.optimizer.simplify.remove_where_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_where_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.always_true": {"fullname": "sqlglot.optimizer.simplify.always_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "always_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_complement": {"fullname": "sqlglot.optimizer.simplify.is_complement", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_complement", "kind": "function", "doc": "

\n", "signature": "(a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_false": {"fullname": "sqlglot.optimizer.simplify.is_false", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_false", "kind": "function", "doc": "

\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_null": {"fullname": "sqlglot.optimizer.simplify.is_null", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_null", "kind": "function", "doc": "

\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.eval_boolean": {"fullname": "sqlglot.optimizer.simplify.eval_boolean", "modulename": "sqlglot.optimizer.simplify", "qualname": "eval_boolean", "kind": "function", "doc": "

\n", "signature": "(expression, a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_date": {"fullname": "sqlglot.optimizer.simplify.extract_date", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_date", "kind": "function", "doc": "

\n", "signature": "(cast):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_interval": {"fullname": "sqlglot.optimizer.simplify.extract_interval", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_interval", "kind": "function", "doc": "

\n", "signature": "(interval):", "funcdef": "def"}, "sqlglot.optimizer.simplify.date_literal": {"fullname": "sqlglot.optimizer.simplify.date_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "date_literal", "kind": "function", "doc": "

\n", "signature": "(date):", "funcdef": "def"}, "sqlglot.optimizer.simplify.boolean_literal": {"fullname": "sqlglot.optimizer.simplify.boolean_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "boolean_literal", "kind": "function", "doc": "

\n", "signature": "(condition):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to convert some predicates with subqueries into joins.

\n\n

Convert scalar subqueries into cross joins.\nConvert correlated or vectorized subqueries into a group by so it is not a many to many left join.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT * FROM x AS x WHERE (SELECT y.a AS a FROM y AS y WHERE x.a = y.a) = 1 ")\n>>> unnest_subqueries(expression).sql()\n'SELECT * FROM x AS x LEFT JOIN (SELECT y.a AS a FROM y AS y WHERE TRUE GROUP BY y.a) AS _u_0 ON x.a = _u_0.a WHERE _u_0.a = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to unnest
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: unnested expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.unnest": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, next_alias_name):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"fullname": "sqlglot.optimizer.unnest_subqueries.decorrelate", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "decorrelate", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, external_columns, next_alias_name):", "funcdef": "def"}, "sqlglot.parser": {"fullname": "sqlglot.parser", "modulename": "sqlglot.parser", "kind": "module", "doc": "

\n"}, "sqlglot.parser.parse_var_map": {"fullname": "sqlglot.parser.parse_var_map", "modulename": "sqlglot.parser", "qualname": "parse_var_map", "kind": "function", "doc": "

\n", "signature": "(args: List) -> sqlglot.expressions.StarMap | sqlglot.expressions.VarMap:", "funcdef": "def"}, "sqlglot.parser.parse_like": {"fullname": "sqlglot.parser.parse_like", "modulename": "sqlglot.parser", "qualname": "parse_like", "kind": "function", "doc": "

\n", "signature": "(args: List) -> sqlglot.expressions.Escape | sqlglot.expressions.Like:", "funcdef": "def"}, "sqlglot.parser.binary_range_parser": {"fullname": "sqlglot.parser.binary_range_parser", "modulename": "sqlglot.parser", "qualname": "binary_range_parser", "kind": "function", "doc": "

\n", "signature": "(\texpr_type: Type[sqlglot.expressions.Expression]) -> Callable[[sqlglot.parser.Parser, Optional[sqlglot.expressions.Expression]], Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser": {"fullname": "sqlglot.parser.Parser", "modulename": "sqlglot.parser", "qualname": "Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n"}, "sqlglot.parser.Parser.__init__": {"fullname": "sqlglot.parser.Parser.__init__", "modulename": "sqlglot.parser", "qualname": "Parser.__init__", "kind": "function", "doc": "

\n", "signature": "(\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\terror_message_context: int = 100,\tmax_errors: int = 3)"}, "sqlglot.parser.Parser.reset": {"fullname": "sqlglot.parser.Parser.reset", "modulename": "sqlglot.parser", "qualname": "Parser.reset", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.parser.Parser.parse": {"fullname": "sqlglot.parser.Parser.parse", "modulename": "sqlglot.parser", "qualname": "Parser.parse", "kind": "function", "doc": "

Parses a list of tokens and returns a list of syntax trees, one tree\nper parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • raw_tokens: The list of tokens.
    • \n
  • sql: The original SQL string, used to produce helpful debug messages.
    • \n
\n\n
Returns:
\n\n
\n

The list of the produced syntax trees.

\n
\n", "signature": "(\tself,\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.parse_into": {"fullname": "sqlglot.parser.Parser.parse_into", "modulename": "sqlglot.parser", "qualname": "Parser.parse_into", "kind": "function", "doc": "

Parses a list of tokens into a given Expression type. If a collection of Expression\ntypes is given instead, this method will try to parse the token list into each one\nof them, stopping at the first for which the parsing succeeds.

\n\n
Arguments:
\n\n
    \n
  • expression_types: The expression type(s) to try and parse the token list into.
    • \n
  • raw_tokens: The list of tokens.
    • \n
  • sql: The original SQL string, used to produce helpful debug messages.
    • \n
\n\n
Returns:
\n\n
\n

The target Expression.

\n
\n", "signature": "(\tself,\texpression_types: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.check_errors": {"fullname": "sqlglot.parser.Parser.check_errors", "modulename": "sqlglot.parser", "qualname": "Parser.check_errors", "kind": "function", "doc": "

Logs or raises any found errors, depending on the chosen error level setting.

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.raise_error": {"fullname": "sqlglot.parser.Parser.raise_error", "modulename": "sqlglot.parser", "qualname": "Parser.raise_error", "kind": "function", "doc": "

Appends an error in the list of recorded errors or raises it, depending on the chosen\nerror level setting.

\n", "signature": "(self, message: str, token: Optional[sqlglot.tokens.Token] = None) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.expression": {"fullname": "sqlglot.parser.Parser.expression", "modulename": "sqlglot.parser", "qualname": "Parser.expression", "kind": "function", "doc": "

Creates a new, validated Expression.

\n\n
Arguments:
\n\n
    \n
  • exp_class: The expression class to instantiate.
    • \n
  • comments: An optional list of comments to attach to the expression.
    • \n
  • kwargs: The arguments to set for the expression along with their respective values.
    • \n
\n\n
Returns:
\n\n
\n

The target expression.

\n
\n", "signature": "(\tself,\texp_class: Type[~E],\tcomments: Optional[List[str]] = None,\t**kwargs) -> ~E:", "funcdef": "def"}, "sqlglot.parser.Parser.validate_expression": {"fullname": "sqlglot.parser.Parser.validate_expression", "modulename": "sqlglot.parser", "qualname": "Parser.validate_expression", "kind": "function", "doc": "

Validates an Expression, making sure that all its mandatory arguments are set.

\n\n
Arguments:
\n\n
    \n
  • expression: The expression to validate.
    • \n
  • args: An optional list of items that was used to instantiate the expression, if it's a Func.
    • \n
\n\n
Returns:
\n\n
\n

The validated expression.

\n
\n", "signature": "(self, expression: ~E, args: Optional[List] = None) -> ~E:", "funcdef": "def"}, "sqlglot.planner": {"fullname": "sqlglot.planner", "modulename": "sqlglot.planner", "kind": "module", "doc": "

\n"}, "sqlglot.planner.Plan": {"fullname": "sqlglot.planner.Plan", "modulename": "sqlglot.planner", "qualname": "Plan", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Plan.__init__": {"fullname": "sqlglot.planner.Plan.__init__", "modulename": "sqlglot.planner", "qualname": "Plan.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.planner.Step": {"fullname": "sqlglot.planner.Step", "modulename": "sqlglot.planner", "qualname": "Step", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Step.from_expression": {"fullname": "sqlglot.planner.Step.from_expression", "modulename": "sqlglot.planner", "qualname": "Step.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Step.add_dependency": {"fullname": "sqlglot.planner.Step.add_dependency", "modulename": "sqlglot.planner", "qualname": "Step.add_dependency", "kind": "function", "doc": "

\n", "signature": "(self, dependency: sqlglot.planner.Step) -> None:", "funcdef": "def"}, "sqlglot.planner.Step.to_s": {"fullname": "sqlglot.planner.Step.to_s", "modulename": "sqlglot.planner", "qualname": "Step.to_s", "kind": "function", "doc": "

\n", "signature": "(self, level: int = 0) -> str:", "funcdef": "def"}, "sqlglot.planner.Scan": {"fullname": "sqlglot.planner.Scan", "modulename": "sqlglot.planner", "qualname": "Scan", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Scan.from_expression": {"fullname": "sqlglot.planner.Scan.from_expression", "modulename": "sqlglot.planner", "qualname": "Scan.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Join": {"fullname": "sqlglot.planner.Join", "modulename": "sqlglot.planner", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Join.from_joins": {"fullname": "sqlglot.planner.Join.from_joins", "modulename": "sqlglot.planner", "qualname": "Join.from_joins", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tjoins: Iterable[sqlglot.expressions.Join],\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Aggregate": {"fullname": "sqlglot.planner.Aggregate", "modulename": "sqlglot.planner", "qualname": "Aggregate", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Sort": {"fullname": "sqlglot.planner.Sort", "modulename": "sqlglot.planner", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation": {"fullname": "sqlglot.planner.SetOperation", "modulename": "sqlglot.planner", "qualname": "SetOperation", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation.__init__": {"fullname": "sqlglot.planner.SetOperation.__init__", "modulename": "sqlglot.planner", "qualname": "SetOperation.__init__", "kind": "function", "doc": "

\n", "signature": "(\top: Type[sqlglot.expressions.Expression],\tleft: str | None,\tright: str | None,\tdistinct: bool = False)"}, "sqlglot.planner.SetOperation.from_expression": {"fullname": "sqlglot.planner.SetOperation.from_expression", "modulename": "sqlglot.planner", "qualname": "SetOperation.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.schema.Schema": {"fullname": "sqlglot.schema.Schema", "modulename": "sqlglot.schema", "qualname": "Schema", "kind": "class", "doc": "

Abstract base class for database schemas

\n", "bases": "abc.ABC"}, "sqlglot.schema.Schema.add_table": {"fullname": "sqlglot.schema.Schema.add_table", "modulename": "sqlglot.schema", "qualname": "Schema.add_table", "kind": "function", "doc": "

Register or update a table. Some implementing classes may require column information to also be provided.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance or string representing the table.
    • \n
  • column_mapping: a column mapping that describes the structure of the table.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.Schema.column_names": {"fullname": "sqlglot.schema.Schema.column_names", "modulename": "sqlglot.schema", "qualname": "Schema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
    • \n
  • only_visible: whether to include invisible columns.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.Schema.get_column_type": {"fullname": "sqlglot.schema.Schema.get_column_type", "modulename": "sqlglot.schema", "qualname": "Schema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
    • \n
  • column: the target column.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.Schema.supported_table_args": {"fullname": "sqlglot.schema.Schema.supported_table_args", "modulename": "sqlglot.schema", "qualname": "Schema.supported_table_args", "kind": "variable", "doc": "

Table arguments this schema support, e.g. (\"this\", \"db\", \"catalog\")

\n", "annotation": ": Tuple[str, ...]"}, "sqlglot.schema.Schema.empty": {"fullname": "sqlglot.schema.Schema.empty", "modulename": "sqlglot.schema", "qualname": "Schema.empty", "kind": "variable", "doc": "

Returns whether or not the schema is empty.

\n", "annotation": ": bool"}, "sqlglot.schema.AbstractMappingSchema": {"fullname": "sqlglot.schema.AbstractMappingSchema", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "typing.Generic[~T]"}, "sqlglot.schema.AbstractMappingSchema.__init__": {"fullname": "sqlglot.schema.AbstractMappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(mapping: Optional[Dict] = None)"}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"fullname": "sqlglot.schema.AbstractMappingSchema.table_parts", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.table_parts", "kind": "function", "doc": "

\n", "signature": "(self, table: sqlglot.expressions.Table) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.find": {"fullname": "sqlglot.schema.AbstractMappingSchema.find", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.find", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table,\ttrie: Optional[Dict] = None,\traise_on_missing: bool = True) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"fullname": "sqlglot.schema.AbstractMappingSchema.nested_get", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.nested_get", "kind": "function", "doc": "

\n", "signature": "(\tself,\tparts: Sequence[str],\td: Optional[Dict] = None,\traise_on_missing=True) -> Optional[Any]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema": {"fullname": "sqlglot.schema.MappingSchema", "modulename": "sqlglot.schema", "qualname": "MappingSchema", "kind": "class", "doc": "

Schema based on a nested mapping.

\n\n
Arguments:
\n\n
    \n
  • schema: Mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
      2. \n
    2. {db: {table: {col: type}}}
      3. \n
    3. {catalog: {db: {table: {col: type}}}}
      4. \n
    4. None - Tables will be added later
      5. \n
    • \n
  • visible: Optional mapping of which columns in the schema are visible. If not provided, all columns\nare assumed to be visible. The nesting should mirror that of the schema:\n
      \n
    1. {table: set(cols)}}
      2. \n
    2. {db: {table: set(cols)}}}
      3. \n
    3. {catalog: {db: {table: set(*cols)}}}}
      4. \n
    • \n
  • dialect: The dialect to be used for custom type mappings & parsing string arguments.
    • \n
  • normalize: Whether to normalize identifier names according to the given dialect or not.
    • \n
\n", "bases": "sqlglot.schema.AbstractMappingSchema[typing.Dict[str, str]], Schema"}, "sqlglot.schema.MappingSchema.__init__": {"fullname": "sqlglot.schema.MappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "MappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(\tschema: Optional[Dict] = None,\tvisible: Optional[Dict] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tnormalize: bool = True)"}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"fullname": "sqlglot.schema.MappingSchema.from_mapping_schema", "modulename": "sqlglot.schema", "qualname": "MappingSchema.from_mapping_schema", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmapping_schema: sqlglot.schema.MappingSchema) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.copy": {"fullname": "sqlglot.schema.MappingSchema.copy", "modulename": "sqlglot.schema", "qualname": "MappingSchema.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.add_table": {"fullname": "sqlglot.schema.MappingSchema.add_table", "modulename": "sqlglot.schema", "qualname": "MappingSchema.add_table", "kind": "function", "doc": "

Register or update a table. Updates are only performed if a new column mapping is provided.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance or string representing the table.
    • \n
  • column_mapping: a column mapping that describes the structure of the table.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.column_names": {"fullname": "sqlglot.schema.MappingSchema.column_names", "modulename": "sqlglot.schema", "qualname": "MappingSchema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
    • \n
  • only_visible: whether to include invisible columns.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.get_column_type": {"fullname": "sqlglot.schema.MappingSchema.get_column_type", "modulename": "sqlglot.schema", "qualname": "MappingSchema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
    • \n
  • column: the target column.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.ensure_schema": {"fullname": "sqlglot.schema.ensure_schema", "modulename": "sqlglot.schema", "qualname": "ensure_schema", "kind": "function", "doc": "

\n", "signature": "(\tschema: Union[sqlglot.schema.Schema, Dict, NoneType],\t**kwargs: Any) -> sqlglot.schema.Schema:", "funcdef": "def"}, "sqlglot.schema.ensure_column_mapping": {"fullname": "sqlglot.schema.ensure_column_mapping", "modulename": "sqlglot.schema", "qualname": "ensure_column_mapping", "kind": "function", "doc": "

\n", "signature": "(\tmapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType]) -> Dict:", "funcdef": "def"}, "sqlglot.schema.flatten_schema": {"fullname": "sqlglot.schema.flatten_schema", "modulename": "sqlglot.schema", "qualname": "flatten_schema", "kind": "function", "doc": "

\n", "signature": "(\tschema: Dict,\tdepth: int,\tkeys: Optional[List[str]] = None) -> List[List[str]]:", "funcdef": "def"}, "sqlglot.schema.nested_get": {"fullname": "sqlglot.schema.nested_get", "modulename": "sqlglot.schema", "qualname": "nested_get", "kind": "function", "doc": "

Get a value for a nested dictionary.

\n\n
Arguments:
\n\n
    \n
  • d: the dictionary to search.
    • \n
  • *path: tuples of (name, key), where:\nkey is the key in the dictionary to get.\nname is a string to use in the error if key isn't found.
    • \n
\n\n
Returns:
\n\n
\n

The value or None if it doesn't exist.

\n
\n", "signature": "(\td: Dict,\t*path: Tuple[str, str],\traise_on_missing: bool = True) -> Optional[Any]:", "funcdef": "def"}, "sqlglot.schema.nested_set": {"fullname": "sqlglot.schema.nested_set", "modulename": "sqlglot.schema", "qualname": "nested_set", "kind": "function", "doc": "

In-place set a value for a nested dictionary

\n\n
Example:
\n\n
\n
\n
>>> nested_set({}, ["top_key", "second_key"], "value")\n{'top_key': {'second_key': 'value'}}\n
\n
\n \n
\n
>>> nested_set({"top_key": {"third_key": "third_value"}}, ["top_key", "second_key"], "value")\n{'top_key': {'third_key': 'third_value', 'second_key': 'value'}}\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • d: dictionary to update.
    • \n
  • keys: the keys that makeup the path to value.
    • \n
  • value: the value to set in the dictionary for the given key path.
    • \n
\n\n
Returns:
\n\n
\n

The (possibly) updated dictionary.

\n
\n", "signature": "(d: Dict, keys: Sequence[str], value: Any) -> Dict:", "funcdef": "def"}, "sqlglot.serde": {"fullname": "sqlglot.serde", "modulename": "sqlglot.serde", "kind": "module", "doc": "

\n"}, "sqlglot.serde.dump": {"fullname": "sqlglot.serde.dump", "modulename": "sqlglot.serde", "qualname": "dump", "kind": "function", "doc": "

Recursively dump an AST into a JSON-serializable dict.

\n", "signature": "(\tnode: Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool, NoneType]) -> Union[dict, list, str, float, int, bool, NoneType]:", "funcdef": "def"}, "sqlglot.serde.load": {"fullname": "sqlglot.serde.load", "modulename": "sqlglot.serde", "qualname": "load", "kind": "function", "doc": "

Recursively load a dict (as returned by dump) into an AST.

\n", "signature": "(\tobj: Union[dict, list, str, float, int, bool, NoneType]) -> Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool, NoneType]:", "funcdef": "def"}, "sqlglot.time": {"fullname": "sqlglot.time", "modulename": "sqlglot.time", "kind": "module", "doc": "

\n"}, "sqlglot.time.format_time": {"fullname": "sqlglot.time.format_time", "modulename": "sqlglot.time", "qualname": "format_time", "kind": "function", "doc": "

Converts a time string given a mapping.

\n\n
Examples:
\n\n
\n
\n
>>> format_time("%Y", {"%Y": "YYYY"})\n'YYYY'\n
\n
\n \n

Args:\n mapping: dictionary of time format to target time format.\n trie: optional trie, can be passed in for performance.

\n \n

Returns:\n The converted time string.

\n
\n", "signature": "(\tstring: str,\tmapping: Dict[str, str],\ttrie: Optional[Dict] = None) -> Optional[str]:", "funcdef": "def"}, "sqlglot.tokens": {"fullname": "sqlglot.tokens", "modulename": "sqlglot.tokens", "kind": "module", "doc": "

\n"}, "sqlglot.tokens.TokenType": {"fullname": "sqlglot.tokens.TokenType", "modulename": "sqlglot.tokens", "qualname": "TokenType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.tokens.TokenType.L_PAREN": {"fullname": "sqlglot.tokens.TokenType.L_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_PAREN: 'L_PAREN'>"}, "sqlglot.tokens.TokenType.R_PAREN": {"fullname": "sqlglot.tokens.TokenType.R_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_PAREN", "kind": "variable", "doc": "

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\n", "default_value": "<TokenType.TOP: 'TOP'>"}, "sqlglot.tokens.TokenType.THEN": {"fullname": "sqlglot.tokens.TokenType.THEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.THEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.THEN: 'THEN'>"}, "sqlglot.tokens.TokenType.TRUE": {"fullname": "sqlglot.tokens.TokenType.TRUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TRUE: 'TRUE'>"}, "sqlglot.tokens.TokenType.UNCACHE": {"fullname": "sqlglot.tokens.TokenType.UNCACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNCACHE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNCACHE: 'UNCACHE'>"}, "sqlglot.tokens.TokenType.UNION": {"fullname": "sqlglot.tokens.TokenType.UNION", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNION: 'UNION'>"}, "sqlglot.tokens.TokenType.UNNEST": {"fullname": "sqlglot.tokens.TokenType.UNNEST", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNNEST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNNEST: 'UNNEST'>"}, "sqlglot.tokens.TokenType.UNPIVOT": {"fullname": "sqlglot.tokens.TokenType.UNPIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNPIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNPIVOT: 'UNPIVOT'>"}, "sqlglot.tokens.TokenType.UPDATE": {"fullname": "sqlglot.tokens.TokenType.UPDATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UPDATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UPDATE: 'UPDATE'>"}, "sqlglot.tokens.TokenType.USE": {"fullname": "sqlglot.tokens.TokenType.USE", "modulename": "sqlglot.tokens", "qualname": "TokenType.USE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USE: 'USE'>"}, "sqlglot.tokens.TokenType.USING": {"fullname": "sqlglot.tokens.TokenType.USING", "modulename": "sqlglot.tokens", "qualname": "TokenType.USING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USING: 'USING'>"}, "sqlglot.tokens.TokenType.VALUES": {"fullname": "sqlglot.tokens.TokenType.VALUES", "modulename": "sqlglot.tokens", "qualname": "TokenType.VALUES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VALUES: 'VALUES'>"}, "sqlglot.tokens.TokenType.VIEW": {"fullname": "sqlglot.tokens.TokenType.VIEW", "modulename": "sqlglot.tokens", "qualname": "TokenType.VIEW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VIEW: 'VIEW'>"}, "sqlglot.tokens.TokenType.VOLATILE": {"fullname": "sqlglot.tokens.TokenType.VOLATILE", "modulename": "sqlglot.tokens", "qualname": "TokenType.VOLATILE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VOLATILE: 'VOLATILE'>"}, "sqlglot.tokens.TokenType.WHEN": {"fullname": "sqlglot.tokens.TokenType.WHEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHEN: 'WHEN'>"}, "sqlglot.tokens.TokenType.WHERE": {"fullname": "sqlglot.tokens.TokenType.WHERE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHERE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHERE: 'WHERE'>"}, "sqlglot.tokens.TokenType.WINDOW": {"fullname": "sqlglot.tokens.TokenType.WINDOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.WINDOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WINDOW: 'WINDOW'>"}, "sqlglot.tokens.TokenType.WITH": {"fullname": "sqlglot.tokens.TokenType.WITH", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITH: 'WITH'>"}, "sqlglot.tokens.TokenType.UNIQUE": {"fullname": "sqlglot.tokens.TokenType.UNIQUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNIQUE: 'UNIQUE'>"}, "sqlglot.tokens.Token": {"fullname": "sqlglot.tokens.Token", "modulename": "sqlglot.tokens", "qualname": "Token", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Token.__init__": {"fullname": "sqlglot.tokens.Token.__init__", "modulename": "sqlglot.tokens", "qualname": "Token.__init__", "kind": "function", "doc": "

Token initializer.

\n\n
Arguments:
\n\n
    \n
  • token_type: The TokenType Enum.
    • \n
  • text: The text of the token.
    • \n
  • line: The line that the token ends on.
    • \n
  • col: The column that the token ends on.
    • \n
  • start: The start index of the token.
    • \n
  • end: The ending index of the token.
    • \n
  • comments: The comments to attach to the token.
    • \n
\n", "signature": "(\ttoken_type: sqlglot.tokens.TokenType,\ttext: str,\tline: int = 1,\tcol: int = 1,\tstart: int = 0,\tend: int = 0,\tcomments: List[str] = [])"}, "sqlglot.tokens.Token.number": {"fullname": "sqlglot.tokens.Token.number", "modulename": "sqlglot.tokens", "qualname": "Token.number", "kind": "function", "doc": "

Returns a NUMBER token with number as its text.

\n", "signature": "(cls, number: int) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.string": {"fullname": "sqlglot.tokens.Token.string", "modulename": "sqlglot.tokens", "qualname": "Token.string", "kind": "function", "doc": "

Returns a STRING token with string as its text.

\n", "signature": "(cls, string: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.identifier": {"fullname": "sqlglot.tokens.Token.identifier", "modulename": "sqlglot.tokens", "qualname": "Token.identifier", "kind": "function", "doc": "

Returns an IDENTIFIER token with identifier as its text.

\n", "signature": "(cls, identifier: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.var": {"fullname": "sqlglot.tokens.Token.var", "modulename": "sqlglot.tokens", "qualname": "Token.var", "kind": "function", "doc": "

Returns an VAR token with var as its text.

\n", "signature": "(cls, var: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer": {"fullname": "sqlglot.tokens.Tokenizer", "modulename": "sqlglot.tokens", "qualname": "Tokenizer", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Tokenizer.reset": {"fullname": "sqlglot.tokens.Tokenizer.reset", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.reset", "kind": "function", "doc": "

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer.tokenize": {"fullname": "sqlglot.tokens.Tokenizer.tokenize", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.tokenize", "kind": "function", "doc": "

Returns a list of tokens corresponding to the SQL string sql.

\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer.peek": {"fullname": "sqlglot.tokens.Tokenizer.peek", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.peek", "kind": "function", "doc": "

\n", "signature": "(self, i: int = 0) -> str:", "funcdef": "def"}, "sqlglot.transforms": {"fullname": "sqlglot.transforms", "modulename": "sqlglot.transforms", "kind": "module", "doc": "

\n"}, "sqlglot.transforms.unalias_group": {"fullname": "sqlglot.transforms.unalias_group", "modulename": "sqlglot.transforms", "qualname": "unalias_group", "kind": "function", "doc": "

Replace references to select aliases in GROUP BY clauses.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT a AS b FROM x GROUP BY b").transform(unalias_group).sql()\n'SELECT a AS b FROM x GROUP BY 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_distinct_on": {"fullname": "sqlglot.transforms.eliminate_distinct_on", "modulename": "sqlglot.transforms", "qualname": "eliminate_distinct_on", "kind": "function", "doc": "

Convert SELECT DISTINCT ON statements to a subquery with a window function.

\n\n

This is useful for dialects that don't support SELECT DISTINCT ON but support window functions.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_qualify": {"fullname": "sqlglot.transforms.eliminate_qualify", "modulename": "sqlglot.transforms", "qualname": "eliminate_qualify", "kind": "function", "doc": "

Convert SELECT statements that contain the QUALIFY clause into subqueries, filtered equivalently.

\n\n

The idea behind this transformation can be seen in Snowflake's documentation for QUALIFY:\nhttps://docs.snowflake.com/en/sql-reference/constructs/qualify

\n\n

Some dialects don't support window functions in the WHERE clause, so we need to include them as\nprojections in the subquery, in order to refer to them in the outer filter using aliases. Also,\nif a column is referenced in the QUALIFY clause but is not selected, we need to include it too,\notherwise we won't be able to refer to it in the outer query's WHERE clause.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_precision_parameterized_types": {"fullname": "sqlglot.transforms.remove_precision_parameterized_types", "modulename": "sqlglot.transforms", "qualname": "remove_precision_parameterized_types", "kind": "function", "doc": "

Some dialects only allow the precision for parameterized types to be defined in the DDL and not in\nother expressions. This transforms removes the precision from parameterized types in expressions.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.unnest_to_explode": {"fullname": "sqlglot.transforms.unnest_to_explode", "modulename": "sqlglot.transforms", "qualname": "unnest_to_explode", "kind": "function", "doc": "

Convert cross join unnest into lateral view explode (used in presto -> hive).

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.explode_to_unnest": {"fullname": "sqlglot.transforms.explode_to_unnest", "modulename": "sqlglot.transforms", "qualname": "explode_to_unnest", "kind": "function", "doc": "

Convert explode/posexplode into unnest (used in hive -> presto).

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_target_from_merge": {"fullname": "sqlglot.transforms.remove_target_from_merge", "modulename": "sqlglot.transforms", "qualname": "remove_target_from_merge", "kind": "function", "doc": "

Remove table refs from columns in when statements.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_within_group_for_percentiles": {"fullname": "sqlglot.transforms.remove_within_group_for_percentiles", "modulename": "sqlglot.transforms", "qualname": "remove_within_group_for_percentiles", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.add_recursive_cte_column_names": {"fullname": "sqlglot.transforms.add_recursive_cte_column_names", "modulename": "sqlglot.transforms", "qualname": "add_recursive_cte_column_names", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.epoch_cast_to_ts": {"fullname": "sqlglot.transforms.epoch_cast_to_ts", "modulename": "sqlglot.transforms", "qualname": "epoch_cast_to_ts", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.preprocess": {"fullname": "sqlglot.transforms.preprocess", "modulename": "sqlglot.transforms", "qualname": "preprocess", "kind": "function", "doc": "

Creates a new transform by chaining a sequence of transformations and converts the resulting\nexpression to SQL, using either the \"_sql\" method corresponding to the resulting expression,\nor the appropriate Generator.TRANSFORMS function (when applicable -- see below).

\n\n
Arguments:
\n\n
    \n
  • transforms: sequence of transform functions. These will be called in order.
    • \n
\n\n
Returns:
\n\n
\n

Function that can be used as a generator transform.

\n
\n", "signature": "(\ttransforms: List[Callable[[sqlglot.expressions.Expression], sqlglot.expressions.Expression]]) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.trie": {"fullname": "sqlglot.trie", "modulename": "sqlglot.trie", "kind": "module", "doc": "

\n"}, "sqlglot.trie.new_trie": {"fullname": "sqlglot.trie.new_trie", "modulename": "sqlglot.trie", "qualname": "new_trie", "kind": "function", "doc": "

Creates a new trie out of a collection of keywords.

\n\n

The trie is represented as a sequence of nested dictionaries keyed by either single character\nstrings, or by 0, which is used to designate that a keyword is in the trie.

\n\n
Example:
\n\n
\n
\n
>>> new_trie(["bla", "foo", "blab"])\n{'b': {'l': {'a': {0: True, 'b': {0: True}}}}, 'f': {'o': {'o': {0: True}}}}\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • keywords: the keywords to create the trie from.
    • \n
  • trie: a trie to mutate instead of creating a new one
    • \n
\n\n
Returns:
\n\n
\n

The trie corresponding to keywords.

\n
\n", "signature": "(\tkeywords: Iterable[Sequence[Hashable]],\ttrie: Optional[Dict] = None) -> Dict:", "funcdef": "def"}, "sqlglot.trie.in_trie": {"fullname": "sqlglot.trie.in_trie", "modulename": "sqlglot.trie", "qualname": "in_trie", "kind": "function", "doc": "

Checks whether a key is in a trie.

\n\n
Examples:
\n\n
\n
\n
>>> in_trie(new_trie(["cat"]), "bob")\n(0, {'c': {'a': {'t': {0: True}}}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "ca")\n(1, {'t': {0: True}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "cat")\n(2, {0: True})\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • trie: the trie to be searched.
    • \n
  • key: the target key.
    • \n
\n\n
Returns:
\n\n
\n

A pair (value, subtrie), where subtrie is the sub-trie we get at the point where the search stops, and value\n is either 0 (search was unsuccessful), 1 (value is a prefix of a keyword in trie) or 2 (key is intrie`).

\n
\n", "signature": "(trie: Dict, key: Sequence[Hashable]) -> Tuple[int, Dict]:", "funcdef": "def"}}, "docInfo": {"sqlglot": {"qualname": 0, "fullname": 1, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 5893}, "sqlglot.pretty": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 1, "signature": 0, "bases": 0, "doc": 10}, "sqlglot.schema": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.parse": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 124, "bases": 0, "doc": 84}, "sqlglot.parse_one": {"qualname": 2, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 198, "bases": 0, "doc": 99}, "sqlglot.transpile": {"qualname": 1, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 239, "bases": 0, "doc": 177}, "sqlglot.dataframe": {"qualname": 0, "fullname": 2, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3543}, "sqlglot.dataframe.sql": {"qualname": 0, "fullname": 3, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.table": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 208, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.SparkSession.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 44, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame": {"qualname": 1, "fullname": 4, "annotation": 0, "default_value": 0, "signature": 0, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.__init__": {"qualname": 3, "fullname": 6, "annotation": 0, "default_value": 0, "signature": 259, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.sql": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.copy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 41, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.select": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.alias": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 51, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.where": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 86, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.filter": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 86, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.agg": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 48, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.join": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 180, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 44}, "sqlglot.dataframe.sql.DataFrame.sort": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 120, "bases": 0, "doc": 44}, "sqlglot.dataframe.sql.DataFrame.union": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 61, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.intersect": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 66, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.distinct": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 34, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"qualname": 2, "fullname": 5, "annotation": 0, "default_value": 0, "signature": 38, "bases": 0, "doc": 3}, "sqlglot.dataframe.sql.DataFrame.dropna": {"qualname": 2, "fullname": 5, 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\"SQLGlot

\n\n

SQLGlot is a no-dependency SQL parser, transpiler, optimizer, and engine. It can be used to format SQL or translate between 19 different dialects like DuckDB, Presto, Spark, Snowflake, and BigQuery. It aims to read a wide variety of SQL inputs and output syntactically correct SQL in the targeted dialects.

\n\n

It is a very comprehensive generic SQL parser with a robust test suite. It is also quite performant, while being written purely in Python.

\n\n

You can easily customize the parser, analyze queries, traverse expression trees, and programmatically build SQL.

\n\n

Syntax errors are highlighted and dialect incompatibilities can warn or raise depending on configurations. However, it should be noted that SQL validation is not SQLGlot\u2019s goal, so some syntax errors may go unnoticed.

\n\n

Learn more about the SQLGlot API in the documentation.

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Contributions are very welcome in SQLGlot; read the contribution guide to get started!

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Table of Contents

\n\n\n\n

Install

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From PyPI:

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pip3 install sqlglot\n
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Or with a local checkout:

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make install\n
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Requirements for development (optional):

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make install-dev\n
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Versioning

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Given a version number MAJOR.MINOR.PATCH, SQLGlot uses the following versioning strategy:

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    \n
  • The PATCH version is incremented when there are backwards-compatible fixes or feature additions.
    • \n
  • The MINOR version is incremented when there are backwards-incompatible fixes or feature additions.
    • \n
  • The MAJOR version is incremented when there are significant backwards-incompatible fixes or feature additions.
    • \n
\n\n

Get in Touch

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We'd love to hear from you. Join our community Slack channel!

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Examples

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Formatting and Transpiling

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Easily translate from one dialect to another. For example, date/time functions vary from dialects and can be hard to deal with:

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\n
import sqlglot\nsqlglot.transpile("SELECT EPOCH_MS(1618088028295)", read="duckdb", write="hive")[0]\n
\n
\n\n
\n
'SELECT FROM_UNIXTIME(1618088028295 / 1000)'\n
\n
\n\n

SQLGlot can even translate custom time formats:

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\n
import sqlglot\nsqlglot.transpile("SELECT STRFTIME(x, '%y-%-m-%S')", read="duckdb", write="hive")[0]\n
\n
\n\n
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"SELECT DATE_FORMAT(x, 'yy-M-ss')"\n
\n
\n\n

As another example, let's suppose that we want to read in a SQL query that contains a CTE and a cast to REAL, and then transpile it to Spark, which uses backticks for identifiers and FLOAT instead of REAL:

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\n
import sqlglot\n\nsql = """WITH baz AS (SELECT a, c FROM foo WHERE a = 1) SELECT f.a, b.b, baz.c, CAST("b"."a" AS REAL) d FROM foo f JOIN bar b ON f.a = b.a LEFT JOIN baz ON f.a = baz.a"""\nprint(sqlglot.transpile(sql, write="spark", identify=True, pretty=True)[0])\n
\n
\n\n
\n
WITH `baz` AS (\n  SELECT\n    `a`,\n    `c`\n  FROM `foo`\n  WHERE\n    `a` = 1\n)\nSELECT\n  `f`.`a`,\n  `b`.`b`,\n  `baz`.`c`,\n  CAST(`b`.`a` AS FLOAT) AS `d`\nFROM `foo` AS `f`\nJOIN `bar` AS `b`\n  ON `f`.`a` = `b`.`a`\nLEFT JOIN `baz`\n  ON `f`.`a` = `baz`.`a`\n
\n
\n\n

Comments are also preserved in a best-effort basis when transpiling SQL code:

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\n
sql = """\n/* multi\n   line\n   comment\n*/\nSELECT\n  tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n  CAST(x AS INT), # comment 3\n  y               -- comment 4\nFROM\n  bar /* comment 5 */,\n  tbl #          comment 6\n"""\n\nprint(sqlglot.transpile(sql, read='mysql', pretty=True)[0])\n
\n
\n\n
\n
/* multi\n   line\n   comment\n*/\nSELECT\n  tbl.cola /* comment 1 */ + tbl.colb /* comment 2 */,\n  CAST(x AS INT), /* comment 3 */\n  y /* comment 4 */\nFROM bar /* comment 5 */, tbl /*          comment 6 */\n
\n
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Metadata

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You can explore SQL with expression helpers to do things like find columns and tables:

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\n
from sqlglot import parse_one, exp\n\n# print all column references (a and b)\nfor column in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Column):\n    print(column.alias_or_name)\n\n# find all projections in select statements (a and c)\nfor select in parse_one("SELECT a, b + 1 AS c FROM d").find_all(exp.Select):\n    for projection in select.expressions:\n        print(projection.alias_or_name)\n\n# find all tables (x, y, z)\nfor table in parse_one("SELECT * FROM x JOIN y JOIN z").find_all(exp.Table):\n    print(table.name)\n
\n
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Parser Errors

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When the parser detects an error in the syntax, it raises a ParserError:

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\n
import sqlglot\nsqlglot.transpile("SELECT foo( FROM bar")\n
\n
\n\n
sqlglot.errors.ParseError: Expecting ). Line 1, Col: 13.\n  select foo( FROM bar\n              ~~~~\n
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Structured syntax errors are accessible for programmatic use:

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\n
import sqlglot\ntry:\n    sqlglot.transpile("SELECT foo( FROM bar")\nexcept sqlglot.errors.ParseError as e:\n    print(e.errors)\n
\n
\n\n
\n
[{\n  'description': 'Expecting )',\n  'line': 1,\n  'col': 13,\n  'start_context': 'SELECT foo( ',\n  'highlight': 'FROM',\n  'end_context': ' bar'\n}]\n
\n
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Unsupported Errors

\n\n

Presto APPROX_DISTINCT supports the accuracy argument which is not supported in Hive:

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\n
import sqlglot\nsqlglot.transpile("SELECT APPROX_DISTINCT(a, 0.1) FROM foo", read="presto", write="hive")\n
\n
\n\n
\n
APPROX_COUNT_DISTINCT does not support accuracy\n'SELECT APPROX_COUNT_DISTINCT(a) FROM foo'\n
\n
\n\n

Build and Modify SQL

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SQLGlot supports incrementally building sql expressions:

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\n
from sqlglot import select, condition\n\nwhere = condition("x=1").and_("y=1")\nselect("*").from_("y").where(where).sql()\n
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'SELECT * FROM y WHERE x = 1 AND y = 1'\n
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You can also modify a parsed tree:

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from sqlglot import parse_one\nparse_one("SELECT x FROM y").from_("z").sql()\n
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\n
'SELECT x FROM z'\n
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There is also a way to recursively transform the parsed tree by applying a mapping function to each tree node:

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\n
from sqlglot import exp, parse_one\n\nexpression_tree = parse_one("SELECT a FROM x")\n\ndef transformer(node):\n    if isinstance(node, exp.Column) and node.name == "a":\n        return parse_one("FUN(a)")\n    return node\n\ntransformed_tree = expression_tree.transform(transformer)\ntransformed_tree.sql()\n
\n
\n\n
\n
'SELECT FUN(a) FROM x'\n
\n
\n\n

SQL Optimizer

\n\n

SQLGlot can rewrite queries into an \"optimized\" form. It performs a variety of techniques to create a new canonical AST. This AST can be used to standardize queries or provide the foundations for implementing an actual engine. For example:

\n\n
\n
import sqlglot\nfrom sqlglot.optimizer import optimize\n\nprint(\n    optimize(\n        sqlglot.parse_one("""\n            SELECT A OR (B OR (C AND D))\n            FROM x\n            WHERE Z = date '2021-01-01' + INTERVAL '1' month OR 1 = 0\n        """),\n        schema={"x": {"A": "INT", "B": "INT", "C": "INT", "D": "INT", "Z": "STRING"}}\n    ).sql(pretty=True)\n)\n
\n
\n\n
\n
SELECT\n  (\n    "x"."a" <> 0 OR "x"."b" <> 0 OR "x"."c" <> 0\n  )\n  AND (\n    "x"."a" <> 0 OR "x"."b" <> 0 OR "x"."d" <> 0\n  ) AS "_col_0"\nFROM "x" AS "x"\nWHERE\n  CAST("x"."z" AS DATE) = CAST('2021-02-01' AS DATE)\n
\n
\n\n

AST Introspection

\n\n

You can see the AST version of the sql by calling repr:

\n\n
\n
from sqlglot import parse_one\nprint(repr(parse_one("SELECT a + 1 AS z")))\n
\n
\n\n
\n
(SELECT expressions:\n  (ALIAS this:\n    (ADD this:\n      (COLUMN this:\n        (IDENTIFIER this: a, quoted: False)), expression:\n      (LITERAL this: 1, is_string: False)), alias:\n    (IDENTIFIER this: z, quoted: False)))\n
\n
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AST Diff

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SQLGlot can calculate the difference between two expressions and output changes in a form of a sequence of actions needed to transform a source expression into a target one:

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\n
from sqlglot import diff, parse_one\ndiff(parse_one("SELECT a + b, c, d"), parse_one("SELECT c, a - b, d"))\n
\n
\n\n
\n
[\n  Remove(expression=(ADD this:\n    (COLUMN this:\n      (IDENTIFIER this: a, quoted: False)), expression:\n    (COLUMN this:\n      (IDENTIFIER this: b, quoted: False)))),\n  Insert(expression=(SUB this:\n    (COLUMN this:\n      (IDENTIFIER this: a, quoted: False)), expression:\n    (COLUMN this:\n      (IDENTIFIER this: b, quoted: False)))),\n  Move(expression=(COLUMN this:\n    (IDENTIFIER this: c, quoted: False))),\n  Keep(source=(IDENTIFIER this: b, quoted: False), target=(IDENTIFIER this: b, quoted: False)),\n  ...\n]\n
\n
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See also: Semantic Diff for SQL.

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Custom Dialects

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Dialects can be added by subclassing Dialect:

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\n
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n    class Tokenizer(Tokenizer):\n        QUOTES = ["'", '"']\n        IDENTIFIERS = ["`"]\n\n        KEYWORDS = {\n            **Tokenizer.KEYWORDS,\n            "INT64": TokenType.BIGINT,\n            "FLOAT64": TokenType.DOUBLE,\n        }\n\n    class Generator(Generator):\n        TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n        TYPE_MAPPING = {\n            exp.DataType.Type.TINYINT: "INT64",\n            exp.DataType.Type.SMALLINT: "INT64",\n            exp.DataType.Type.INT: "INT64",\n            exp.DataType.Type.BIGINT: "INT64",\n            exp.DataType.Type.DECIMAL: "NUMERIC",\n            exp.DataType.Type.FLOAT: "FLOAT64",\n            exp.DataType.Type.DOUBLE: "FLOAT64",\n            exp.DataType.Type.BOOLEAN: "BOOL",\n            exp.DataType.Type.TEXT: "STRING",\n        }\n\nprint(Dialect["custom"])\n
\n
\n\n
<class '__main__.Custom'>\n
\n\n

SQL Execution

\n\n

One can even interpret SQL queries using SQLGlot, where the tables are represented as Python dictionaries. Although the engine is not very fast (it's not supposed to be) and is in a relatively early stage of development, it can be useful for unit testing and running SQL natively across Python objects. Additionally, the foundation can be easily integrated with fast compute kernels (arrow, pandas). Below is an example showcasing the execution of a SELECT expression that involves aggregations and JOINs:

\n\n
\n
from sqlglot.executor import execute\n\ntables = {\n    "sushi": [\n        {"id": 1, "price": 1.0},\n        {"id": 2, "price": 2.0},\n        {"id": 3, "price": 3.0},\n    ],\n    "order_items": [\n        {"sushi_id": 1, "order_id": 1},\n        {"sushi_id": 1, "order_id": 1},\n        {"sushi_id": 2, "order_id": 1},\n        {"sushi_id": 3, "order_id": 2},\n    ],\n    "orders": [\n        {"id": 1, "user_id": 1},\n        {"id": 2, "user_id": 2},\n    ],\n}\n\nexecute(\n    """\n    SELECT\n      o.user_id,\n      SUM(s.price) AS price\n    FROM orders o\n    JOIN order_items i\n      ON o.id = i.order_id\n    JOIN sushi s\n      ON i.sushi_id = s.id\n    GROUP BY o.user_id\n    """,\n    tables=tables\n)\n
\n
\n\n
\n
user_id price\n      1   4.0\n      2   3.0\n
\n
\n\n

See also: Writing a Python SQL engine from scratch.

\n\n

Used By

\n\n\n\n

Documentation

\n\n

SQLGlot uses pdoc to serve its API documentation.

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A hosted version is on the SQLGlot website, or you can build locally with:

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make docs-serve\n
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Run Tests and Lint

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make check  # Set SKIP_INTEGRATION=1 to skip integration tests\n
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Benchmarks

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Benchmarks run on Python 3.10.5 in seconds.

\n\n\n\n\n \n \n \n \n \n \n \n\n\n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n \n \n \n \n \n \n \n\n\n
Querysqlglotsqlfluffsqltreesqlparsemoz_sql_parsersqloxide
tpch0.01308 (1.0)1.60626 (122.7)0.01168 (0.893)0.04958 (3.791)0.08543 (6.531)0.00136 (0.104)
short0.00109 (1.0)0.14134 (129.2)0.00099 (0.906)0.00342 (3.131)0.00652 (5.970)8.76E-5 (0.080)
long0.01399 (1.0)2.12632 (151.9)0.01126 (0.805)0.04410 (3.151)0.06671 (4.767)0.00107 (0.076)
crazy0.03969 (1.0)24.3777 (614.1)0.03917 (0.987)11.7043 (294.8)1.03280 (26.02)0.00625 (0.157)
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Optional Dependencies

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SQLGlot uses dateutil to simplify literal timedelta expressions. The optimizer will not simplify expressions like the following if the module cannot be found:

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x + interval '1' month\n
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\n"}, "sqlglot.pretty": {"fullname": "sqlglot.pretty", "modulename": "sqlglot", "qualname": "pretty", "kind": "variable", "doc": "

Whether to format generated SQL by default.

\n", "default_value": "False"}, "sqlglot.schema": {"fullname": "sqlglot.schema", "modulename": "sqlglot.schema", "kind": "module", "doc": "

\n"}, "sqlglot.parse": {"fullname": "sqlglot.parse", "modulename": "sqlglot", "qualname": "parse", "kind": "function", "doc": "

Parses the given SQL string into a collection of syntax trees, one per parsed SQL statement.

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Arguments:
\n\n
    \n
  • sql: the SQL code string to parse.
    • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • **opts: other sqlglot.parser.Parser options.
    • \n
\n\n
Returns:
\n\n
\n

The resulting syntax tree collection.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parse_one": {"fullname": "sqlglot.parse_one", "modulename": "sqlglot", "qualname": "parse_one", "kind": "function", "doc": "

Parses the given SQL string and returns a syntax tree for the first parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to parse.
    • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • into: the SQLGlot Expression to parse into.
    • \n
  • **opts: other sqlglot.parser.Parser options.
    • \n
\n\n
Returns:
\n\n
\n

The syntax tree for the first parsed statement.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transpile": {"fullname": "sqlglot.transpile", "modulename": "sqlglot", "qualname": "transpile", "kind": "function", "doc": "

Parses the given SQL string in accordance with the source dialect and returns a list of SQL strings transformed\nto conform to the target dialect. Each string in the returned list represents a single transformed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • sql: the SQL code string to transpile.
    • \n
  • read: the source dialect used to parse the input string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • write: the target dialect into which the input should be transformed (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • identity: if set to True and if the target dialect is not specified the source dialect will be used as both:\nthe source and the target dialect.
    • \n
  • error_level: the desired error level of the parser.
    • \n
  • **opts: other sqlglot.generator.Generator options.
    • \n
\n\n
Returns:
\n\n
\n

The list of transpiled SQL statements.

\n
\n", "signature": "(\tsql: str,\tread: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\twrite: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tidentity: bool = True,\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\t**opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe": {"fullname": "sqlglot.dataframe", "modulename": "sqlglot.dataframe", "kind": "module", "doc": "

PySpark DataFrame SQL Generator

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This is a drop-in replacement for the PySpark DataFrame API that will generate SQL instead of executing DataFrame operations directly. This, when combined with the transpiling support in SQLGlot, allows one to write PySpark DataFrame code and execute it on other engines like DuckDB, Presto, Spark, Snowflake, and BigQuery.

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Currently many of the common operations are covered and more functionality will be added over time. Please open an issue or PR with your feedback or contribution to help influence what should be prioritized next and make sure your use case is properly supported.

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How to use

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Instructions

\n\n
    \n
  • Install SQLGlot and that is all that is required to just generate SQL. The examples show generating SQL and then executing that SQL on a specific engine and that will require that engine's client library.
    • \n
  • Find/replace all from pyspark.sql with from sqlglot.dataframe.
    • \n
  • Prior to any spark.read.table or spark.table run sqlglot.schema.add_table('<table_name>', <column_structure>, dialect=\"spark\").\n
      \n
    • The column structure can be defined the following ways:\n
        \n
      • Dictionary where the keys are column names and values are string of the Spark SQL type name.\n
          \n
        • Ex: {'cola': 'string', 'colb': 'int'}
          • \n
        • \n
      • PySpark DataFrame StructType similar to when using createDataFrame.\n
          \n
        • Ex: StructType([StructField('cola', StringType()), StructField('colb', IntegerType())])
          • \n
        • \n
      • A string of names and types similar to what is supported in createDataFrame.\n
          \n
        • Ex: cola: STRING, colb: INT
          • \n
        • \n
      • [Not Recommended] A list of string column names without type.\n
          \n
        • Ex: ['cola', 'colb']
          • \n
        • The lack of types may limit functionality in future releases.
          • \n
        • \n
      • \n
    • See Registering Custom Schema for information on how to skip this step if the information is stored externally.
      • \n
    • \n
  • Add .sql(pretty=True) to your final DataFrame command to return a list of sql statements to run that command.\n
      \n
    • In most cases a single SQL statement is returned. Currently the only exception is when caching DataFrames which isn't supported in other dialects.
      • \n
    • Spark is the default output dialect. See dialects for a full list of dialects.
      • \n
    • Ex: .sql(pretty=True, dialect='bigquery')
      • \n
    • \n
\n\n

Examples

\n\n
\n
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\n\nsqlglot.schema.add_table(\n  'employee',\n  {\n    'employee_id': 'INT',\n    'fname': 'STRING',\n    'lname': 'STRING',\n    'age': 'INT',\n  },\n  dialect="spark",\n)  # Register the table structure prior to reading from the table\n\nspark = SparkSession()\n\ndf = (\n    spark\n    .table('employee')\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))  # Spark will be the dialect used by default\n
\n
\n\n
SELECT\n  `employee`.`age` AS `age`,\n  COUNT(DISTINCT `employee`.`employee_id`) AS `num_employees`\nFROM `employee` AS `employee`\nGROUP BY\n  `employee`.`age`\n
\n\n

Registering Custom Schema Class

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The step of adding sqlglot.schema.add_table can be skipped if you have the column structure stored externally like in a file or from an external metadata table. This can be done by writing a class that implements the sqlglot.schema.Schema abstract class and then assigning that class to sqlglot.schema.

\n\n
\n
import sqlglot\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import functions as F\nfrom sqlglot.schema import Schema\n\n\nclass ExternalSchema(Schema):\n  ...\n\nsqlglot.schema = ExternalSchema()\n\nspark = SparkSession()\n\ndf = (\n    spark\n    .table('employee')\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees")) \n)\n\nprint(df.sql(pretty=True))\n
\n
\n\n

Example Implementations

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Bigquery

\n\n
\n
from google.cloud import bigquery\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\nclient = bigquery.Client()\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n    .sql(dialect="bigquery")\n)\n\nresult = None\nfor sql in sql_statements:\n  result = client.query(sql)\n\nassert result is not None\nfor row in client.query(result):\n    print(f"Age: {row['age']}, Num Employees: {row['num_employees']}")\n
\n
\n\n

Snowflake

\n\n
\n
import os\n\nimport snowflake.connector\nfrom sqlglot.dataframe.session import SparkSession\nfrom sqlglot.dataframe import types\nfrom sqlglot.dataframe import functions as F\n\nctx = snowflake.connector.connect(\n    user=os.environ["SNOWFLAKE_USER"],\n    password=os.environ["SNOWFLAKE_PASS"],\n    account=os.environ["SNOWFLAKE_ACCOUNT"]\n)\ncs = ctx.cursor()\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("lname")).alias("num_employees"))\n    .sql(dialect="snowflake")\n)\n\ntry:\n    for sql in sql_statements:\n        cs.execute(sql)\n    results = cs.fetchall()\n    for row in results:\n        print(f"Age: {row[0]}, Num Employees: {row[1]}")\nfinally:\n    cs.close()\nctx.close()\n
\n
\n\n

Spark

\n\n
\n
from pyspark.sql.session import SparkSession as PySparkSession\nfrom sqlglot.dataframe.sql.session import SparkSession\nfrom sqlglot.dataframe.sql import types\nfrom sqlglot.dataframe.sql import functions as F\n\ndata = [\n    (1, "Jack", "Shephard", 34),\n    (2, "John", "Locke", 48),\n    (3, "Kate", "Austen", 34),\n    (4, "Claire", "Littleton", 22),\n    (5, "Hugo", "Reyes", 26),\n]\nschema = types.StructType([\n    types.StructField('employee_id', types.IntegerType(), False),\n    types.StructField('fname', types.StringType(), False),\n    types.StructField('lname', types.StringType(), False),\n    types.StructField('age', types.IntegerType(), False),\n])\n\nsql_statements = (\n    SparkSession()\n    .createDataFrame(data, schema)\n    .groupBy(F.col("age"))\n    .agg(F.countDistinct(F.col("employee_id")).alias("num_employees"))\n    .sql(dialect="spark")\n)\n\npyspark = PySparkSession.builder.master("local[*]").getOrCreate()\n\ndf = None\nfor sql in sql_statements:\n    df = pyspark.sql(sql)\n\nassert df is not None\ndf.show()\n
\n
\n\n

Unsupportable Operations

\n\n

Any operation that lacks a way to represent it in SQL cannot be supported by this tool. An example of this would be rdd operations. Since the DataFrame API though is mostly modeled around SQL concepts most operations can be supported.

\n"}, "sqlglot.dataframe.sql": {"fullname": "sqlglot.dataframe.sql", "modulename": "sqlglot.dataframe.sql", "kind": "module", "doc": "

\n"}, "sqlglot.dataframe.sql.SparkSession": {"fullname": "sqlglot.dataframe.sql.SparkSession", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.SparkSession.table": {"fullname": "sqlglot.dataframe.sql.SparkSession.table", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.table", "kind": "function", "doc": "

\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.createDataFrame": {"fullname": "sqlglot.dataframe.sql.SparkSession.createDataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.createDataFrame", "kind": "function", "doc": "

\n", "signature": "(\tself,\tdata: Sequence[Union[Dict[str, <MagicMock id='140135091336672'>], List[<MagicMock id='140135091336672'>], Tuple]],\tschema: Optional[<MagicMock id='140135091187344'>] = None,\tsamplingRatio: Optional[float] = None,\tverifySchema: bool = False) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.SparkSession.sql": {"fullname": "sqlglot.dataframe.sql.SparkSession.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "SparkSession.sql", "kind": "function", "doc": "

\n", "signature": "(self, sqlQuery: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame": {"fullname": "sqlglot.dataframe.sql.DataFrame", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrame.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrame.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.__init__", "kind": "function", "doc": "

\n", "signature": "(\tspark: <MagicMock id='140135093941152'>,\texpression: sqlglot.expressions.Select,\tbranch_id: Optional[str] = None,\tsequence_id: Optional[str] = None,\tlast_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>,\tpending_hints: Optional[List[sqlglot.expressions.Expression]] = None,\toutput_expression_container: Optional[<MagicMock id='140135094093856'>] = None,\t**kwargs)"}, "sqlglot.dataframe.sql.DataFrame.sql": {"fullname": "sqlglot.dataframe.sql.DataFrame.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sql", "kind": "function", "doc": "

\n", "signature": "(self, dialect='spark', optimize=True, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.copy": {"fullname": "sqlglot.dataframe.sql.DataFrame.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.select": {"fullname": "sqlglot.dataframe.sql.DataFrame.select", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.select", "kind": "function", "doc": "

\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.alias": {"fullname": "sqlglot.dataframe.sql.DataFrame.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.alias", "kind": "function", "doc": "

\n", "signature": "(self, name: str, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.where": {"fullname": "sqlglot.dataframe.sql.DataFrame.where", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.where", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.filter": {"fullname": "sqlglot.dataframe.sql.DataFrame.filter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.filter", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolumn: Union[sqlglot.dataframe.sql.column.Column, bool],\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.groupBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.groupBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.groupBy", "kind": "function", "doc": "

\n", "signature": "(self, *cols, **kwargs) -> sqlglot.dataframe.sql.group.GroupedData:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.agg": {"fullname": "sqlglot.dataframe.sql.DataFrame.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.agg", "kind": "function", "doc": "

\n", "signature": "(self, *exprs, **kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.join": {"fullname": "sqlglot.dataframe.sql.DataFrame.join", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.join", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother_df: sqlglot.dataframe.sql.dataframe.DataFrame,\ton: Union[str, List[str], sqlglot.dataframe.sql.column.Column, List[sqlglot.dataframe.sql.column.Column]],\thow: str = 'inner',\t**kwargs) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.orderBy": {"fullname": "sqlglot.dataframe.sql.DataFrame.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.orderBy", "kind": "function", "doc": "

This implementation lets any ordered columns take priority over whatever is provided in ascending. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column],\tascending: Union[Any, List[Any], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.sort": {"fullname": "sqlglot.dataframe.sql.DataFrame.sort", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.sort", "kind": "function", "doc": "

This implementation lets any ordered columns take priority over whatever is provided in ascending. Spark\nhas irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this\nis unlikely to come up.

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column],\tascending: Union[Any, List[Any], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.union": {"fullname": "sqlglot.dataframe.sql.DataFrame.union", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.union", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.unionAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.unionAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.unionAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.unionByName": {"fullname": "sqlglot.dataframe.sql.DataFrame.unionByName", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.unionByName", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame,\tallowMissingColumns: bool = False):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.intersect": {"fullname": "sqlglot.dataframe.sql.DataFrame.intersect", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.intersect", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.intersectAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.intersectAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.intersectAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.exceptAll": {"fullname": "sqlglot.dataframe.sql.DataFrame.exceptAll", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.exceptAll", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: sqlglot.dataframe.sql.dataframe.DataFrame) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.distinct": {"fullname": "sqlglot.dataframe.sql.DataFrame.distinct", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.distinct", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.dropDuplicates": {"fullname": "sqlglot.dataframe.sql.DataFrame.dropDuplicates", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.dropDuplicates", "kind": "function", "doc": "

\n", "signature": "(self, subset: Optional[List[str]] = None):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.dropna": {"fullname": "sqlglot.dataframe.sql.DataFrame.dropna", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.dropna", "kind": "function", "doc": "

\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.fillna": {"fullname": "sqlglot.dataframe.sql.DataFrame.fillna", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.fillna", "kind": "function", "doc": "

Functionality Difference: If you provide a value to replace a null and that type conflicts\nwith the type of the column then PySpark will just ignore your replacement.\nThis will try to cast them to be the same in some cases. So they won't always match.\nBest to not mix types so make sure replacement is the same type as the column

\n\n

Possibility for improvement: Use typeof function to get the type of the column\nand check if it matches the type of the value provided. If not then make it null.

\n", "signature": "(\tself,\tvalue: <MagicMock id='140135089923520'>,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.replace": {"fullname": "sqlglot.dataframe.sql.DataFrame.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[Collection[<MagicMock id='140135090028608'>], <MagicMock id='140135090028608'>, NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumn": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumn", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumn", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcolName: str,\tcol: sqlglot.dataframe.sql.column.Column) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.withColumnRenamed": {"fullname": "sqlglot.dataframe.sql.DataFrame.withColumnRenamed", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.withColumnRenamed", "kind": "function", "doc": "

\n", "signature": "(self, existing: str, new: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.drop": {"fullname": "sqlglot.dataframe.sql.DataFrame.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.drop", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.limit": {"fullname": "sqlglot.dataframe.sql.DataFrame.limit", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.limit", "kind": "function", "doc": "

\n", "signature": "(self, num: int) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.hint": {"fullname": "sqlglot.dataframe.sql.DataFrame.hint", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.hint", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*parameters: Union[str, int, NoneType]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.repartition": {"fullname": "sqlglot.dataframe.sql.DataFrame.repartition", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.repartition", "kind": "function", "doc": "

\n", "signature": "(\tself,\tnumPartitions: Union[int, <MagicMock id='140135090130800'>],\t*cols: <MagicMock id='140135090191136'>) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.coalesce": {"fullname": "sqlglot.dataframe.sql.DataFrame.coalesce", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.coalesce", "kind": "function", "doc": "

\n", "signature": "(self, numPartitions: int) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.cache": {"fullname": "sqlglot.dataframe.sql.DataFrame.cache", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.cache", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrame.persist": {"fullname": "sqlglot.dataframe.sql.DataFrame.persist", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrame.persist", "kind": "function", "doc": "

Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html

\n", "signature": "(\tself,\tstorageLevel: str = 'MEMORY_AND_DISK_SER') -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData": {"fullname": "sqlglot.dataframe.sql.GroupedData", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.GroupedData.__init__": {"fullname": "sqlglot.dataframe.sql.GroupedData.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.__init__", "kind": "function", "doc": "

\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tgroup_by_cols: List[sqlglot.dataframe.sql.column.Column],\tlast_op: sqlglot.dataframe.sql.operations.Operation)"}, "sqlglot.dataframe.sql.GroupedData.agg": {"fullname": "sqlglot.dataframe.sql.GroupedData.agg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.agg", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*exprs: Union[sqlglot.dataframe.sql.column.Column, Dict[str, str]]) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.count": {"fullname": "sqlglot.dataframe.sql.GroupedData.count", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.count", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.mean": {"fullname": "sqlglot.dataframe.sql.GroupedData.mean", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.mean", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.avg": {"fullname": "sqlglot.dataframe.sql.GroupedData.avg", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.avg", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.max": {"fullname": "sqlglot.dataframe.sql.GroupedData.max", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.max", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.min": {"fullname": "sqlglot.dataframe.sql.GroupedData.min", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.min", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.sum": {"fullname": "sqlglot.dataframe.sql.GroupedData.sum", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.sum", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.GroupedData.pivot": {"fullname": "sqlglot.dataframe.sql.GroupedData.pivot", "modulename": "sqlglot.dataframe.sql", "qualname": "GroupedData.pivot", "kind": "function", "doc": "

\n", "signature": "(self, *cols: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column": {"fullname": "sqlglot.dataframe.sql.Column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.Column.__init__": {"fullname": "sqlglot.dataframe.sql.Column.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression: Union[<MagicMock id='140135092193312'>, sqlglot.expressions.Expression, NoneType])"}, "sqlglot.dataframe.sql.Column.ensure_col": {"fullname": "sqlglot.dataframe.sql.Column.ensure_col", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_col", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tvalue: Union[<MagicMock id='140135090317456'>, sqlglot.expressions.Expression, NoneType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_cols": {"fullname": "sqlglot.dataframe.sql.Column.ensure_cols", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_cols", "kind": "function", "doc": "

\n", "signature": "(\tcls,\targs: List[Union[<MagicMock id='140135089983680'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.column.Column]:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_anonymous_function": {"fullname": "sqlglot.dataframe.sql.Column.invoke_anonymous_function", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_anonymous_function", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140135090558560'>],\tfunc_name: str,\t*args: Optional[<MagicMock id='140135090631344'>]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.invoke_expression_over_column": {"fullname": "sqlglot.dataframe.sql.Column.invoke_expression_over_column", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.invoke_expression_over_column", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tcolumn: Optional[<MagicMock id='140135090394432'>],\tcallable_expression: Callable,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.binary_op": {"fullname": "sqlglot.dataframe.sql.Column.binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140135088576720'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.inverse_binary_op": {"fullname": "sqlglot.dataframe.sql.Column.inverse_binary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.inverse_binary_op", "kind": "function", "doc": "

\n", "signature": "(\tself,\tklass: Callable,\tother: <MagicMock id='140135088584400'>,\t**kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.unary_op": {"fullname": "sqlglot.dataframe.sql.Column.unary_op", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.unary_op", "kind": "function", "doc": "

\n", "signature": "(self, klass: Callable, **kwargs) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ensure_literal": {"fullname": "sqlglot.dataframe.sql.Column.ensure_literal", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ensure_literal", "kind": "function", "doc": "

\n", "signature": "(cls, value) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.copy": {"fullname": "sqlglot.dataframe.sql.Column.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.copy", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.set_table_name": {"fullname": "sqlglot.dataframe.sql.Column.set_table_name", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.set_table_name", "kind": "function", "doc": "

\n", "signature": "(self, table_name: str, copy=False) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.sql": {"fullname": "sqlglot.dataframe.sql.Column.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.alias": {"fullname": "sqlglot.dataframe.sql.Column.alias", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.alias", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc": {"fullname": "sqlglot.dataframe.sql.Column.asc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc": {"fullname": "sqlglot.dataframe.sql.Column.desc", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_first", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.asc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.asc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.asc_nulls_last", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_first": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_first", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_first", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.desc_nulls_last": {"fullname": "sqlglot.dataframe.sql.Column.desc_nulls_last", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.desc_nulls_last", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.when": {"fullname": "sqlglot.dataframe.sql.Column.when", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.when", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: sqlglot.dataframe.sql.column.Column,\tvalue: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.otherwise": {"fullname": "sqlglot.dataframe.sql.Column.otherwise", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.otherwise", "kind": "function", "doc": "

\n", "signature": "(self, value: Any) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNull": {"fullname": "sqlglot.dataframe.sql.Column.isNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNull", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isNotNull": {"fullname": "sqlglot.dataframe.sql.Column.isNotNull", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isNotNull", "kind": "function", "doc": "

\n", "signature": "(self) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.cast": {"fullname": "sqlglot.dataframe.sql.Column.cast", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.cast", "kind": "function", "doc": "

Functionality Difference: PySpark cast accepts a datatype instance of the datatype class\nSqlglot doesn't currently replicate this class so it only accepts a string

\n", "signature": "(self, dataType: Union[str, sqlglot.dataframe.sql.types.DataType]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.startswith": {"fullname": "sqlglot.dataframe.sql.Column.startswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.startswith", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.endswith": {"fullname": "sqlglot.dataframe.sql.Column.endswith", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.endswith", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[str, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.rlike": {"fullname": "sqlglot.dataframe.sql.Column.rlike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.rlike", "kind": "function", "doc": "

\n", "signature": "(self, regexp: str) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.like": {"fullname": "sqlglot.dataframe.sql.Column.like", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.like", "kind": "function", "doc": "

\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.ilike": {"fullname": "sqlglot.dataframe.sql.Column.ilike", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.ilike", "kind": "function", "doc": "

\n", "signature": "(self, other: str):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.substr": {"fullname": "sqlglot.dataframe.sql.Column.substr", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.substr", "kind": "function", "doc": "

\n", "signature": "(\tself,\tstartPos: Union[int, sqlglot.dataframe.sql.column.Column],\tlength: Union[int, sqlglot.dataframe.sql.column.Column]) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.isin": {"fullname": "sqlglot.dataframe.sql.Column.isin", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140135088834880'>, Iterable[<MagicMock id='140135088834880'>]]):", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.between": {"fullname": "sqlglot.dataframe.sql.Column.between", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.between", "kind": "function", "doc": "

\n", "signature": "(\tself,\tlowerBound: <MagicMock id='140135088905840'>,\tupperBound: <MagicMock id='140135088943936'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.Column.over": {"fullname": "sqlglot.dataframe.sql.Column.over", "modulename": "sqlglot.dataframe.sql", "qualname": "Column.over", "kind": "function", "doc": "

\n", "signature": "(\tself,\twindow: <MagicMock id='140135089001648'>) -> sqlglot.dataframe.sql.column.Column:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.__init__", "kind": "function", "doc": "

\n", "signature": "(df: sqlglot.dataframe.sql.dataframe.DataFrame)"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.drop": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.drop", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.drop", "kind": "function", "doc": "

\n", "signature": "(\tself,\thow: str = 'any',\tthresh: Optional[int] = None,\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.fill": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.fill", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.fill", "kind": "function", "doc": "

\n", "signature": "(\tself,\tvalue: Union[int, bool, float, str, Dict[str, Any]],\tsubset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameNaFunctions.replace": {"fullname": "sqlglot.dataframe.sql.DataFrameNaFunctions.replace", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameNaFunctions.replace", "kind": "function", "doc": "

\n", "signature": "(\tself,\tto_replace: Union[bool, int, float, str, List, Dict],\tvalue: Union[bool, int, float, str, List, NoneType] = None,\tsubset: Union[str, List[str], NoneType] = None) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window": {"fullname": "sqlglot.dataframe.sql.Window", "modulename": "sqlglot.dataframe.sql", "qualname": "Window", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.Window.partitionBy": {"fullname": "sqlglot.dataframe.sql.Window.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.partitionBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140135089315008'>, List[<MagicMock id='140135089315008'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.orderBy": {"fullname": "sqlglot.dataframe.sql.Window.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tcls,\t*cols: Union[<MagicMock id='140135089098032'>, List[<MagicMock id='140135089098032'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rowsBetween": {"fullname": "sqlglot.dataframe.sql.Window.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rowsBetween", "kind": "function", "doc": "

\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.Window.rangeBetween": {"fullname": "sqlglot.dataframe.sql.Window.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "Window.rangeBetween", "kind": "function", "doc": "

\n", "signature": "(cls, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec": {"fullname": "sqlglot.dataframe.sql.WindowSpec", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.WindowSpec.__init__": {"fullname": "sqlglot.dataframe.sql.WindowSpec.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression = (WINDOW ))"}, "sqlglot.dataframe.sql.WindowSpec.copy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.copy", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.sql": {"fullname": "sqlglot.dataframe.sql.WindowSpec.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.partitionBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.partitionBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.partitionBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140135089209696'>, List[<MagicMock id='140135089209696'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.orderBy": {"fullname": "sqlglot.dataframe.sql.WindowSpec.orderBy", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.orderBy", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*cols: Union[<MagicMock id='140135089202912'>, List[<MagicMock id='140135089202912'>]]) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rowsBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rowsBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rowsBetween", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.WindowSpec.rangeBetween": {"fullname": "sqlglot.dataframe.sql.WindowSpec.rangeBetween", "modulename": "sqlglot.dataframe.sql", "qualname": "WindowSpec.rangeBetween", "kind": "function", "doc": "

\n", "signature": "(self, start: int, end: int) -> sqlglot.dataframe.sql.window.WindowSpec:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameReader": {"fullname": "sqlglot.dataframe.sql.DataFrameReader", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameReader.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.__init__", "kind": "function", "doc": "

\n", "signature": "(spark: sqlglot.dataframe.sql.session.SparkSession)"}, "sqlglot.dataframe.sql.DataFrameReader.table": {"fullname": "sqlglot.dataframe.sql.DataFrameReader.table", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameReader.table", "kind": "function", "doc": "

\n", "signature": "(self, tableName: str) -> sqlglot.dataframe.sql.dataframe.DataFrame:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter", "kind": "class", "doc": "

\n"}, "sqlglot.dataframe.sql.DataFrameWriter.__init__": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.__init__", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.__init__", "kind": "function", "doc": "

\n", "signature": "(\tdf: sqlglot.dataframe.sql.dataframe.DataFrame,\tspark: Optional[sqlglot.dataframe.sql.session.SparkSession] = None,\tmode: Optional[str] = None,\tby_name: bool = False)"}, "sqlglot.dataframe.sql.DataFrameWriter.copy": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.copy", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.sql": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.sql", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.sql", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> List[str]:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.mode": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.mode", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.mode", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsaveMode: Optional[str]) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.insertInto": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.insertInto", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.insertInto", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttableName: str,\toverwrite: Optional[bool] = None) -> sqlglot.dataframe.sql.readwriter.DataFrameWriter:", "funcdef": "def"}, "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable": {"fullname": "sqlglot.dataframe.sql.DataFrameWriter.saveAsTable", "modulename": "sqlglot.dataframe.sql", "qualname": "DataFrameWriter.saveAsTable", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\tformat: Optional[str] = None,\tmode: Optional[str] = None):", "funcdef": "def"}, "sqlglot.dialects": {"fullname": "sqlglot.dialects", "modulename": "sqlglot.dialects", "kind": "module", "doc": "

Dialects

\n\n

While there is a SQL standard, most SQL engines support a variation of that standard. This makes it difficult\nto write portable SQL code. SQLGlot bridges all the different variations, called \"dialects\", with an extensible\nSQL transpilation framework.

\n\n

The base sqlglot.dialects.dialect.Dialect class implements a generic dialect that aims to be as universal as possible.

\n\n

Each SQL variation has its own Dialect subclass, extending the corresponding Tokenizer, Parser and Generator\nclasses as needed.

\n\n

Implementing a custom Dialect

\n\n

Consider the following example:

\n\n
\n
from sqlglot import exp\nfrom sqlglot.dialects.dialect import Dialect\nfrom sqlglot.generator import Generator\nfrom sqlglot.tokens import Tokenizer, TokenType\n\n\nclass Custom(Dialect):\n    class Tokenizer(Tokenizer):\n        QUOTES = ["'", '"']\n        IDENTIFIERS = ["`"]\n\n        KEYWORDS = {\n            **Tokenizer.KEYWORDS,\n            "INT64": TokenType.BIGINT,\n            "FLOAT64": TokenType.DOUBLE,\n        }\n\n    class Generator(Generator):\n        TRANSFORMS = {exp.Array: lambda self, e: f"[{self.expressions(e)}]"}\n\n        TYPE_MAPPING = {\n            exp.DataType.Type.TINYINT: "INT64",\n            exp.DataType.Type.SMALLINT: "INT64",\n            exp.DataType.Type.INT: "INT64",\n            exp.DataType.Type.BIGINT: "INT64",\n            exp.DataType.Type.DECIMAL: "NUMERIC",\n            exp.DataType.Type.FLOAT: "FLOAT64",\n            exp.DataType.Type.DOUBLE: "FLOAT64",\n            exp.DataType.Type.BOOLEAN: "BOOL",\n            exp.DataType.Type.TEXT: "STRING",\n        }\n
\n
\n\n

This is a typical example of adding a new dialect implementation in SQLGlot: we specify its identifier and string\ndelimiters, as well as what tokens it uses for its types and how they're associated with SQLGlot types. Since\nthe Expression classes are common for each dialect supported in SQLGlot, we may also need to override the generation\nlogic for some expressions; this is usually done by adding new entries to the TRANSFORMS mapping.

\n\n
\n"}, "sqlglot.dialects.bigquery": {"fullname": "sqlglot.dialects.bigquery", "modulename": "sqlglot.dialects.bigquery", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.bigquery.BigQuery": {"fullname": "sqlglot.dialects.bigquery.BigQuery", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.bigquery.BigQuery.normalize_identifier": {"fullname": "sqlglot.dialects.bigquery.BigQuery.normalize_identifier", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.normalize_identifier", "kind": "function", "doc": "

Normalizes an unquoted identifier to either lower or upper case, thus essentially\nmaking it case-insensitive. If a dialect treats all identifiers as case-insensitive,\nthey will be normalized regardless of being quoted or not.

\n", "signature": "(cls, expression: ~E) -> ~E:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Tokenizer": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Tokenizer", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.bigquery.BigQuery.Parser": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Parser", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.bigquery.BigQuery.Generator": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.array_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.array_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.transaction_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.commit_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.commit_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.rollback_sql", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.rollback_sql", "kind": "function", "doc": "

\n", "signature": "(self, *_) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.in_unnest_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.in_unnest_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Unnest) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.except_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.except_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.intersect_op", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.with_properties", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.bigquery.BigQuery.Generator.can_identify": {"fullname": "sqlglot.dialects.bigquery.BigQuery.Generator.can_identify", "modulename": "sqlglot.dialects.bigquery", "qualname": "BigQuery.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.clickhouse": {"fullname": "sqlglot.dialects.clickhouse", "modulename": "sqlglot.dialects.clickhouse", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.clickhouse.ClickHouse": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Tokenizer", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.clickhouse.ClickHouse.Parser": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Parser", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.safeconcat_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.safeconcat_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.safeconcat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SafeConcat) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.cte_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.cte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CTE) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.after_limit_modifiers", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.after_limit_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.parameterizedagg_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.parameterizedagg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Anonymous) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.placeholder_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.placeholder_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Placeholder) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.oncluster_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.oncluster_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.oncluster_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.OnCluster) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.createable_sql": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.createable_sql", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.createable_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Create,\tlocations: dict[sqlglot.expressions.Properties.Location, list[sqlglot.expressions.Property]]) -> str:", "funcdef": "def"}, "sqlglot.dialects.clickhouse.ClickHouse.Generator.can_identify": {"fullname": "sqlglot.dialects.clickhouse.ClickHouse.Generator.can_identify", "modulename": "sqlglot.dialects.clickhouse", "qualname": "ClickHouse.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.databricks": {"fullname": "sqlglot.dialects.databricks", "modulename": "sqlglot.dialects.databricks", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.databricks.Databricks": {"fullname": "sqlglot.dialects.databricks.Databricks", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark.Spark"}, "sqlglot.dialects.databricks.Databricks.Parser": {"fullname": "sqlglot.dialects.databricks.Databricks.Parser", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Parser"}, "sqlglot.dialects.databricks.Databricks.Generator": {"fullname": "sqlglot.dialects.databricks.Databricks.Generator", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.spark.Spark.Generator"}, "sqlglot.dialects.databricks.Databricks.Generator.can_identify": {"fullname": "sqlglot.dialects.databricks.Databricks.Generator.can_identify", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.databricks.Databricks.Tokenizer": {"fullname": "sqlglot.dialects.databricks.Databricks.Tokenizer", "modulename": "sqlglot.dialects.databricks", "qualname": "Databricks.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark2.Spark2.Tokenizer"}, "sqlglot.dialects.dialect": {"fullname": "sqlglot.dialects.dialect", "modulename": "sqlglot.dialects.dialect", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.dialect.Dialects": {"fullname": "sqlglot.dialects.dialect.Dialects", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects", "kind": "class", "doc": "

An enumeration.

\n", "bases": "builtins.str, enum.Enum"}, "sqlglot.dialects.dialect.Dialects.DIALECT": {"fullname": "sqlglot.dialects.dialect.Dialects.DIALECT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DIALECT", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DIALECT: ''>"}, "sqlglot.dialects.dialect.Dialects.BIGQUERY": {"fullname": "sqlglot.dialects.dialect.Dialects.BIGQUERY", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.BIGQUERY", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.BIGQUERY: 'bigquery'>"}, "sqlglot.dialects.dialect.Dialects.CLICKHOUSE": {"fullname": "sqlglot.dialects.dialect.Dialects.CLICKHOUSE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.CLICKHOUSE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.CLICKHOUSE: 'clickhouse'>"}, "sqlglot.dialects.dialect.Dialects.DATABRICKS": {"fullname": "sqlglot.dialects.dialect.Dialects.DATABRICKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DATABRICKS", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DATABRICKS: 'databricks'>"}, "sqlglot.dialects.dialect.Dialects.DRILL": {"fullname": "sqlglot.dialects.dialect.Dialects.DRILL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DRILL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DRILL: 'drill'>"}, "sqlglot.dialects.dialect.Dialects.DUCKDB": {"fullname": "sqlglot.dialects.dialect.Dialects.DUCKDB", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.DUCKDB", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.DUCKDB: 'duckdb'>"}, "sqlglot.dialects.dialect.Dialects.HIVE": {"fullname": "sqlglot.dialects.dialect.Dialects.HIVE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.HIVE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.HIVE: 'hive'>"}, "sqlglot.dialects.dialect.Dialects.MYSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.MYSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.MYSQL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.MYSQL: 'mysql'>"}, "sqlglot.dialects.dialect.Dialects.ORACLE": {"fullname": "sqlglot.dialects.dialect.Dialects.ORACLE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.ORACLE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.ORACLE: 'oracle'>"}, "sqlglot.dialects.dialect.Dialects.POSTGRES": {"fullname": "sqlglot.dialects.dialect.Dialects.POSTGRES", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.POSTGRES", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.POSTGRES: 'postgres'>"}, "sqlglot.dialects.dialect.Dialects.PRESTO": {"fullname": "sqlglot.dialects.dialect.Dialects.PRESTO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.PRESTO", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.PRESTO: 'presto'>"}, "sqlglot.dialects.dialect.Dialects.REDSHIFT": {"fullname": "sqlglot.dialects.dialect.Dialects.REDSHIFT", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.REDSHIFT", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.REDSHIFT: 'redshift'>"}, "sqlglot.dialects.dialect.Dialects.SNOWFLAKE": {"fullname": "sqlglot.dialects.dialect.Dialects.SNOWFLAKE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SNOWFLAKE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SNOWFLAKE: 'snowflake'>"}, "sqlglot.dialects.dialect.Dialects.SPARK": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SPARK: 'spark'>"}, "sqlglot.dialects.dialect.Dialects.SPARK2": {"fullname": "sqlglot.dialects.dialect.Dialects.SPARK2", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SPARK2", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SPARK2: 'spark2'>"}, "sqlglot.dialects.dialect.Dialects.SQLITE": {"fullname": "sqlglot.dialects.dialect.Dialects.SQLITE", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.SQLITE", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.SQLITE: 'sqlite'>"}, "sqlglot.dialects.dialect.Dialects.STARROCKS": {"fullname": "sqlglot.dialects.dialect.Dialects.STARROCKS", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.STARROCKS", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.STARROCKS: 'starrocks'>"}, "sqlglot.dialects.dialect.Dialects.TABLEAU": {"fullname": "sqlglot.dialects.dialect.Dialects.TABLEAU", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TABLEAU", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TABLEAU: 'tableau'>"}, "sqlglot.dialects.dialect.Dialects.TERADATA": {"fullname": "sqlglot.dialects.dialect.Dialects.TERADATA", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TERADATA", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TERADATA: 'teradata'>"}, "sqlglot.dialects.dialect.Dialects.TRINO": {"fullname": "sqlglot.dialects.dialect.Dialects.TRINO", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TRINO", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TRINO: 'trino'>"}, "sqlglot.dialects.dialect.Dialects.TSQL": {"fullname": "sqlglot.dialects.dialect.Dialects.TSQL", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialects.TSQL", "kind": "variable", "doc": "

\n", "default_value": "<Dialects.TSQL: 'tsql'>"}, "sqlglot.dialects.dialect.Dialect": {"fullname": "sqlglot.dialects.dialect.Dialect", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect", "kind": "class", "doc": "

\n"}, "sqlglot.dialects.dialect.Dialect.get_or_raise": {"fullname": "sqlglot.dialects.dialect.Dialect.get_or_raise", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.get_or_raise", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> Type[sqlglot.dialects.dialect.Dialect]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.format_time": {"fullname": "sqlglot.dialects.dialect.Dialect.format_time", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.format_time", "kind": "function", "doc": "

\n", "signature": "(\tcls,\texpression: Union[str, sqlglot.expressions.Expression, NoneType]) -> Optional[sqlglot.expressions.Expression]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.normalize_identifier": {"fullname": "sqlglot.dialects.dialect.Dialect.normalize_identifier", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.normalize_identifier", "kind": "function", "doc": "

Normalizes an unquoted identifier to either lower or upper case, thus essentially\nmaking it case-insensitive. If a dialect treats all identifiers as case-insensitive,\nthey will be normalized regardless of being quoted or not.

\n", "signature": "(cls, expression: ~E) -> ~E:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.case_sensitive": {"fullname": "sqlglot.dialects.dialect.Dialect.case_sensitive", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.case_sensitive", "kind": "function", "doc": "

Checks if text contains any case sensitive characters, based on the dialect's rules.

\n", "signature": "(cls, text: str) -> bool:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.can_identify": {"fullname": "sqlglot.dialects.dialect.Dialect.can_identify", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(cls, text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.quote_identifier": {"fullname": "sqlglot.dialects.dialect.Dialect.quote_identifier", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.quote_identifier", "kind": "function", "doc": "

\n", "signature": "(cls, expression: ~E, identify: bool = True) -> ~E:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parse": {"fullname": "sqlglot.dialects.dialect.Dialect.parse", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parse", "kind": "function", "doc": "

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\n", "signature": "(\tself,\texpression_type: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\tsql: str,\t**opts) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generate": {"fullname": "sqlglot.dialects.dialect.Dialect.generate", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generate", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\t**opts) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.transpile": {"fullname": "sqlglot.dialects.dialect.Dialect.transpile", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.transpile", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, **opts) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.tokenize": {"fullname": "sqlglot.dialects.dialect.Dialect.tokenize", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.tokenize", "kind": "function", "doc": "

\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.parser": {"fullname": "sqlglot.dialects.dialect.Dialect.parser", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.parser", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.parser.Parser:", "funcdef": "def"}, "sqlglot.dialects.dialect.Dialect.generator": {"fullname": "sqlglot.dialects.dialect.Dialect.generator", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect.generator", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.generator.Generator:", "funcdef": "def"}, "sqlglot.dialects.dialect.rename_func": {"fullname": "sqlglot.dialects.dialect.rename_func", "modulename": "sqlglot.dialects.dialect", "qualname": "rename_func", "kind": "function", "doc": "

\n", "signature": "(\tname: str) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.dialects.dialect.approx_count_distinct_sql": {"fullname": "sqlglot.dialects.dialect.approx_count_distinct_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "approx_count_distinct_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ApproxDistinct) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.if_sql": {"fullname": "sqlglot.dialects.dialect.if_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "if_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtract | sqlglot.expressions.JSONBExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql": {"fullname": "sqlglot.dialects.dialect.arrow_json_extract_scalar_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "arrow_json_extract_scalar_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.JSONExtractScalar | sqlglot.expressions.JSONBExtractScalar) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.inline_array_sql": {"fullname": "sqlglot.dialects.dialect.inline_array_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "inline_array_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Array) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_ilike_sql": {"fullname": "sqlglot.dialects.dialect.no_ilike_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_ilike_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_paren_current_date_sql": {"fullname": "sqlglot.dialects.dialect.no_paren_current_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_paren_current_date_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CurrentDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_recursive_cte_sql": {"fullname": "sqlglot.dialects.dialect.no_recursive_cte_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_recursive_cte_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.With) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_safe_divide_sql": {"fullname": "sqlglot.dialects.dialect.no_safe_divide_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_safe_divide_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.SafeDivide) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_tablesample_sql": {"fullname": "sqlglot.dialects.dialect.no_tablesample_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TableSample) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_pivot_sql": {"fullname": "sqlglot.dialects.dialect.no_pivot_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_pivot_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Pivot) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_trycast_sql": {"fullname": "sqlglot.dialects.dialect.no_trycast_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_trycast_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_properties_sql": {"fullname": "sqlglot.dialects.dialect.no_properties_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_properties_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.no_comment_column_constraint_sql": {"fullname": "sqlglot.dialects.dialect.no_comment_column_constraint_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "no_comment_column_constraint_sql", "kind": "function", "doc": "

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\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.struct_extract_sql": {"fullname": "sqlglot.dialects.dialect.struct_extract_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "struct_extract_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StructExtract) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.var_map_sql": {"fullname": "sqlglot.dialects.dialect.var_map_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "var_map_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Map | sqlglot.expressions.VarMap,\tmap_func_name: str = 'MAP') -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.format_time_lambda": {"fullname": "sqlglot.dialects.dialect.format_time_lambda", "modulename": "sqlglot.dialects.dialect", "qualname": "format_time_lambda", "kind": "function", "doc": "

Helper used for time expressions.

\n\n
Arguments:
\n\n
    \n
  • exp_class: the expression class to instantiate.
    • \n
  • dialect: target sql dialect.
    • \n
  • default: the default format, True being time.
    • \n
\n\n
Returns:
\n\n
\n

A callable that can be used to return the appropriately formatted time expression.

\n
\n", "signature": "(\texp_class: Type[~E],\tdialect: str,\tdefault: Union[str, bool, NoneType] = None) -> Callable[[List], ~E]:", "funcdef": "def"}, "sqlglot.dialects.dialect.create_with_partitions_sql": {"fullname": "sqlglot.dialects.dialect.create_with_partitions_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "create_with_partitions_sql", "kind": "function", "doc": "

In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the\nPARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding\ncolumns are removed from the create statement.

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Create) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.parse_date_delta": {"fullname": "sqlglot.dialects.dialect.parse_date_delta", "modulename": "sqlglot.dialects.dialect", "qualname": "parse_date_delta", "kind": "function", "doc": "

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\n", "signature": "(expression_class: Type[~E]) -> Callable[[List], Optional[~E]]:", "funcdef": "def"}, "sqlglot.dialects.dialect.date_trunc_to_time": {"fullname": "sqlglot.dialects.dialect.date_trunc_to_time", "modulename": "sqlglot.dialects.dialect", "qualname": "date_trunc_to_time", "kind": "function", "doc": "

\n", "signature": "(\targs: List) -> sqlglot.expressions.DateTrunc | sqlglot.expressions.TimestampTrunc:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestamptrunc_sql": {"fullname": "sqlglot.dialects.dialect.timestamptrunc_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestamptrunc_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimestampTrunc) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.locate_to_strposition": {"fullname": "sqlglot.dialects.dialect.locate_to_strposition", "modulename": "sqlglot.dialects.dialect", "qualname": "locate_to_strposition", "kind": "function", "doc": "

\n", "signature": "(args: List) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.dialects.dialect.strposition_to_locate_sql": {"fullname": "sqlglot.dialects.dialect.strposition_to_locate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "strposition_to_locate_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.StrPosition) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.left_to_substring_sql": {"fullname": "sqlglot.dialects.dialect.left_to_substring_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "left_to_substring_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Left) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.right_to_substring_sql": {"fullname": "sqlglot.dialects.dialect.right_to_substring_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "right_to_substring_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Left) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.timestrtotime_sql": {"fullname": "sqlglot.dialects.dialect.timestrtotime_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "timestrtotime_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.TimeStrToTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.datestrtodate_sql": {"fullname": "sqlglot.dialects.dialect.datestrtodate_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "datestrtodate_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.DateStrToDate) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.min_or_least": {"fullname": "sqlglot.dialects.dialect.min_or_least", "modulename": "sqlglot.dialects.dialect", "qualname": "min_or_least", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Min) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.max_or_greatest": {"fullname": "sqlglot.dialects.dialect.max_or_greatest", "modulename": "sqlglot.dialects.dialect", "qualname": "max_or_greatest", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Max) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.count_if_to_sum": {"fullname": "sqlglot.dialects.dialect.count_if_to_sum", "modulename": "sqlglot.dialects.dialect", "qualname": "count_if_to_sum", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.CountIf) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.trim_sql": {"fullname": "sqlglot.dialects.dialect.trim_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "trim_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Trim) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.str_to_time_sql": {"fullname": "sqlglot.dialects.dialect.str_to_time_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "str_to_time_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Expression) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.ts_or_ds_to_date_sql": {"fullname": "sqlglot.dialects.dialect.ts_or_ds_to_date_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "ts_or_ds_to_date_sql", "kind": "function", "doc": "

\n", "signature": "(dialect: str) -> Callable:", "funcdef": "def"}, "sqlglot.dialects.dialect.concat_to_dpipe_sql": {"fullname": "sqlglot.dialects.dialect.concat_to_dpipe_sql", "modulename": "sqlglot.dialects.dialect", "qualname": "concat_to_dpipe_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.Concat | sqlglot.expressions.SafeConcat) -> str:", "funcdef": "def"}, "sqlglot.dialects.dialect.pivot_column_names": {"fullname": "sqlglot.dialects.dialect.pivot_column_names", "modulename": "sqlglot.dialects.dialect", "qualname": "pivot_column_names", "kind": "function", "doc": "

\n", "signature": "(\taggregations: List[sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.drill": {"fullname": "sqlglot.dialects.drill", "modulename": "sqlglot.dialects.drill", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.drill.Drill": {"fullname": "sqlglot.dialects.drill.Drill", "modulename": "sqlglot.dialects.drill", "qualname": "Drill", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.drill.Drill.Tokenizer": {"fullname": "sqlglot.dialects.drill.Drill.Tokenizer", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.drill.Drill.Parser": {"fullname": "sqlglot.dialects.drill.Drill.Parser", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.drill.Drill.Generator": {"fullname": "sqlglot.dialects.drill.Drill.Generator", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.drill.Drill.Generator.normalize_func": {"fullname": "sqlglot.dialects.drill.Drill.Generator.normalize_func", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.dialects.drill.Drill.Generator.can_identify": {"fullname": "sqlglot.dialects.drill.Drill.Generator.can_identify", "modulename": "sqlglot.dialects.drill", "qualname": "Drill.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.duckdb": {"fullname": "sqlglot.dialects.duckdb", "modulename": "sqlglot.dialects.duckdb", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.duckdb.DuckDB": {"fullname": "sqlglot.dialects.duckdb.DuckDB", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.duckdb.DuckDB.Tokenizer": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Tokenizer", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.duckdb.DuckDB.Parser": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Parser", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.duckdb.DuckDB.Generator": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.duckdb.DuckDB.Generator.interval_sql": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator.interval_sql", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator.interval_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Interval) -> str:", "funcdef": "def"}, "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator.tablesample_sql", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator.tablesample_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.TableSample,\tseed_prefix: str = 'SEED',\tsep: str = ' AS ') -> str:", "funcdef": "def"}, "sqlglot.dialects.duckdb.DuckDB.Generator.can_identify": {"fullname": "sqlglot.dialects.duckdb.DuckDB.Generator.can_identify", "modulename": "sqlglot.dialects.duckdb", "qualname": "DuckDB.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.hive": {"fullname": "sqlglot.dialects.hive", "modulename": "sqlglot.dialects.hive", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.hive.Hive": {"fullname": "sqlglot.dialects.hive.Hive", "modulename": "sqlglot.dialects.hive", "qualname": "Hive", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.hive.Hive.Tokenizer": {"fullname": "sqlglot.dialects.hive.Hive.Tokenizer", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.hive.Hive.Parser": {"fullname": "sqlglot.dialects.hive.Hive.Parser", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.hive.Hive.Generator": {"fullname": "sqlglot.dialects.hive.Hive.Generator", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql": {"fullname": "sqlglot.dialects.hive.Hive.Generator.arrayagg_sql", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.arrayagg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ArrayAgg) -> str:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.with_properties": {"fullname": "sqlglot.dialects.hive.Hive.Generator.with_properties", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.with_properties", "kind": "function", "doc": "

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.datatype_sql": {"fullname": "sqlglot.dialects.hive.Hive.Generator.datatype_sql", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers": {"fullname": "sqlglot.dialects.hive.Hive.Generator.after_having_modifiers", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.after_having_modifiers", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.hive.Hive.Generator.can_identify": {"fullname": "sqlglot.dialects.hive.Hive.Generator.can_identify", "modulename": "sqlglot.dialects.hive", "qualname": "Hive.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.mysql": {"fullname": "sqlglot.dialects.mysql", "modulename": "sqlglot.dialects.mysql", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.mysql.MySQL": {"fullname": "sqlglot.dialects.mysql.MySQL", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.mysql.MySQL.Tokenizer": {"fullname": "sqlglot.dialects.mysql.MySQL.Tokenizer", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.mysql.MySQL.Parser": {"fullname": "sqlglot.dialects.mysql.MySQL.Parser", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.mysql.MySQL.Generator": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.mysql.MySQL.Generator.show_sql": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.show_sql", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.show_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Show) -> str:", "funcdef": "def"}, "sqlglot.dialects.mysql.MySQL.Generator.can_identify": {"fullname": "sqlglot.dialects.mysql.MySQL.Generator.can_identify", "modulename": "sqlglot.dialects.mysql", "qualname": "MySQL.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.oracle": {"fullname": "sqlglot.dialects.oracle", "modulename": "sqlglot.dialects.oracle", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.oracle.Oracle": {"fullname": "sqlglot.dialects.oracle.Oracle", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.oracle.Oracle.Parser": {"fullname": "sqlglot.dialects.oracle.Oracle.Parser", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.oracle.Oracle.Generator": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.oracle.Oracle.Generator.offset_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.offset_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.column_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.column_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.column_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.xmltable_sql", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.xmltable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.XMLTable) -> str:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Generator.can_identify": {"fullname": "sqlglot.dialects.oracle.Oracle.Generator.can_identify", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.oracle.Oracle.Tokenizer": {"fullname": "sqlglot.dialects.oracle.Oracle.Tokenizer", "modulename": "sqlglot.dialects.oracle", "qualname": "Oracle.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.postgres": {"fullname": "sqlglot.dialects.postgres", "modulename": "sqlglot.dialects.postgres", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.postgres.Postgres": {"fullname": "sqlglot.dialects.postgres.Postgres", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.postgres.Postgres.Tokenizer": {"fullname": "sqlglot.dialects.postgres.Postgres.Tokenizer", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.postgres.Postgres.Parser": {"fullname": "sqlglot.dialects.postgres.Postgres.Parser", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.postgres.Postgres.Generator": {"fullname": "sqlglot.dialects.postgres.Postgres.Generator", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.postgres.Postgres.Generator.can_identify": {"fullname": "sqlglot.dialects.postgres.Postgres.Generator.can_identify", "modulename": "sqlglot.dialects.postgres", "qualname": "Postgres.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.presto": {"fullname": "sqlglot.dialects.presto", "modulename": "sqlglot.dialects.presto", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.presto.Presto": {"fullname": "sqlglot.dialects.presto.Presto", "modulename": "sqlglot.dialects.presto", "qualname": "Presto", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.presto.Presto.Tokenizer": {"fullname": "sqlglot.dialects.presto.Presto.Tokenizer", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.presto.Presto.Parser": {"fullname": "sqlglot.dialects.presto.Presto.Parser", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.presto.Presto.Generator": {"fullname": "sqlglot.dialects.presto.Presto.Generator", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.presto.Presto.Generator.interval_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.interval_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.interval_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Interval) -> str:", "funcdef": "def"}, "sqlglot.dialects.presto.Presto.Generator.transaction_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.transaction_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Transaction) -> str:", "funcdef": "def"}, "sqlglot.dialects.presto.Presto.Generator.generateseries_sql": {"fullname": "sqlglot.dialects.presto.Presto.Generator.generateseries_sql", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.generateseries_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GenerateSeries) -> str:", "funcdef": "def"}, "sqlglot.dialects.presto.Presto.Generator.offset_limit_modifiers": {"fullname": "sqlglot.dialects.presto.Presto.Generator.offset_limit_modifiers", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.offset_limit_modifiers", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Expression,\tfetch: bool,\tlimit: Union[sqlglot.expressions.Fetch, sqlglot.expressions.Limit, NoneType]) -> List[str]:", "funcdef": "def"}, "sqlglot.dialects.presto.Presto.Generator.can_identify": {"fullname": "sqlglot.dialects.presto.Presto.Generator.can_identify", "modulename": "sqlglot.dialects.presto", "qualname": "Presto.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.redshift": {"fullname": "sqlglot.dialects.redshift", "modulename": "sqlglot.dialects.redshift", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.redshift.Redshift": {"fullname": "sqlglot.dialects.redshift.Redshift", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.postgres.Postgres"}, "sqlglot.dialects.redshift.Redshift.Parser": {"fullname": "sqlglot.dialects.redshift.Redshift.Parser", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Parser"}, "sqlglot.dialects.redshift.Redshift.Tokenizer": {"fullname": "sqlglot.dialects.redshift.Redshift.Tokenizer", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.postgres.Postgres.Tokenizer"}, "sqlglot.dialects.redshift.Redshift.Generator": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.postgres.Postgres.Generator"}, "sqlglot.dialects.redshift.Redshift.Generator.values_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.values_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.values_sql", "kind": "function", "doc": "

Converts VALUES... expression into a series of unions.

\n\n

Note: If you have a lot of unions then this will result in a large number of recursive statements to\nevaluate the expression. You may need to increase sys.setrecursionlimit to run and it can also be\nvery slow.

\n", "signature": "(self, expression: sqlglot.expressions.Values) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.with_properties": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.with_properties", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.with_properties", "kind": "function", "doc": "

Redshift doesn't have WITH as part of their with_properties so we remove it

\n", "signature": "(self, properties: sqlglot.expressions.Properties) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.datatype_sql", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.datatype_sql", "kind": "function", "doc": "

Redshift converts the TEXT data type to VARCHAR(255) by default when people more generally mean\nVARCHAR of max length which is VARCHAR(max) in Redshift. Therefore if we get a TEXT data type\nwithout precision we convert it to VARCHAR(max) and if it does have precision then we just convert\nTEXT to VARCHAR.

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.redshift.Redshift.Generator.can_identify": {"fullname": "sqlglot.dialects.redshift.Redshift.Generator.can_identify", "modulename": "sqlglot.dialects.redshift", "qualname": "Redshift.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.snowflake": {"fullname": "sqlglot.dialects.snowflake", "modulename": "sqlglot.dialects.snowflake", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.snowflake.Snowflake": {"fullname": "sqlglot.dialects.snowflake.Snowflake", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.snowflake.Snowflake.Parser": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Parser", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.snowflake.Snowflake.Tokenizer": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Tokenizer", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.snowflake.Snowflake.Generator": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.snowflake.Snowflake.Generator.except_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.except_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.except_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Except) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.intersect_op", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.intersect_op", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Intersect) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.settag_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.settag_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SetTag) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.describe_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.describe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Describe) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.generatedasidentitycolumnconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.GeneratedAsIdentityColumnConstraint) -> str:", "funcdef": "def"}, "sqlglot.dialects.snowflake.Snowflake.Generator.can_identify": {"fullname": "sqlglot.dialects.snowflake.Snowflake.Generator.can_identify", "modulename": "sqlglot.dialects.snowflake", "qualname": "Snowflake.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.spark": {"fullname": "sqlglot.dialects.spark", "modulename": "sqlglot.dialects.spark", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.spark.Spark": {"fullname": "sqlglot.dialects.spark.Spark", "modulename": "sqlglot.dialects.spark", "qualname": "Spark", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.spark2.Spark2"}, "sqlglot.dialects.spark.Spark.Parser": {"fullname": "sqlglot.dialects.spark.Spark.Parser", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.dialects.spark2.Spark2.Parser"}, "sqlglot.dialects.spark.Spark.Generator": {"fullname": "sqlglot.dialects.spark.Spark.Generator", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.spark2.Spark2.Generator"}, "sqlglot.dialects.spark.Spark.Generator.datediff_sql": {"fullname": "sqlglot.dialects.spark.Spark.Generator.datediff_sql", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator.datediff_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark.Spark.Generator.can_identify": {"fullname": "sqlglot.dialects.spark.Spark.Generator.can_identify", "modulename": "sqlglot.dialects.spark", "qualname": "Spark.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.spark2": {"fullname": "sqlglot.dialects.spark2", "modulename": "sqlglot.dialects.spark2", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.spark2.Spark2": {"fullname": "sqlglot.dialects.spark2.Spark2", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive"}, "sqlglot.dialects.spark2.Spark2.Parser": {"fullname": "sqlglot.dialects.spark2.Spark2.Parser", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Parser"}, "sqlglot.dialects.spark2.Spark2.Generator": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.hive.Hive.Generator"}, "sqlglot.dialects.spark2.Spark2.Generator.cast_sql": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator.cast_sql", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator.columndef_sql", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator.columndef_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnDef, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.dialects.spark2.Spark2.Generator.can_identify": {"fullname": "sqlglot.dialects.spark2.Spark2.Generator.can_identify", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.spark2.Spark2.Tokenizer": {"fullname": "sqlglot.dialects.spark2.Spark2.Tokenizer", "modulename": "sqlglot.dialects.spark2", "qualname": "Spark2.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.hive.Hive.Tokenizer"}, "sqlglot.dialects.sqlite": {"fullname": "sqlglot.dialects.sqlite", "modulename": "sqlglot.dialects.sqlite", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.sqlite.SQLite": {"fullname": "sqlglot.dialects.sqlite.SQLite", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.sqlite.SQLite.Tokenizer": {"fullname": "sqlglot.dialects.sqlite.SQLite.Tokenizer", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.sqlite.SQLite.Parser": {"fullname": "sqlglot.dialects.sqlite.SQLite.Parser", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.sqlite.SQLite.Generator": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.cast_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.cast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cast) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.datediff_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.datediff_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.groupconcat_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.groupconcat_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GroupConcat) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.least_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.least_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.least_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Least) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.transaction_sql", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.transaction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Transaction) -> str:", "funcdef": "def"}, "sqlglot.dialects.sqlite.SQLite.Generator.can_identify": {"fullname": "sqlglot.dialects.sqlite.SQLite.Generator.can_identify", "modulename": "sqlglot.dialects.sqlite", "qualname": "SQLite.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.starrocks": {"fullname": "sqlglot.dialects.starrocks", "modulename": "sqlglot.dialects.starrocks", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.starrocks.StarRocks": {"fullname": "sqlglot.dialects.starrocks.StarRocks", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.mysql.MySQL"}, "sqlglot.dialects.starrocks.StarRocks.Parser": {"fullname": "sqlglot.dialects.starrocks.StarRocks.Parser", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.dialects.mysql.MySQL.Parser"}, "sqlglot.dialects.starrocks.StarRocks.Generator": {"fullname": "sqlglot.dialects.starrocks.StarRocks.Generator", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.mysql.MySQL.Generator"}, "sqlglot.dialects.starrocks.StarRocks.Generator.can_identify": {"fullname": "sqlglot.dialects.starrocks.StarRocks.Generator.can_identify", "modulename": "sqlglot.dialects.starrocks", "qualname": "StarRocks.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.tableau": {"fullname": "sqlglot.dialects.tableau", "modulename": "sqlglot.dialects.tableau", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.tableau.Tableau": {"fullname": "sqlglot.dialects.tableau.Tableau", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.tableau.Tableau.Generator": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tableau.Tableau.Generator.if_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.if_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.if_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.If) -> str:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Generator.count_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.count_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.count_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Count) -> str:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Generator.can_identify": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.can_identify", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.tableau.Tableau.Parser": {"fullname": "sqlglot.dialects.tableau.Tableau.Parser", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata": {"fullname": "sqlglot.dialects.teradata", "modulename": "sqlglot.dialects.teradata", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.teradata.Teradata": {"fullname": "sqlglot.dialects.teradata.Teradata", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.teradata.Teradata.Tokenizer": {"fullname": "sqlglot.dialects.teradata.Teradata.Tokenizer", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.teradata.Teradata.Parser": {"fullname": "sqlglot.dialects.teradata.Teradata.Parser", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.teradata.Teradata.Generator": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.partitionedbyproperty_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.partitionedbyproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.PartitionedByProperty) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.update_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.update_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.update_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Update) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.mod_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.mod_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.datatype_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.datatype_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DataType) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.rangen_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.rangen_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RangeN) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.createable_sql": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.createable_sql", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.createable_sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Create,\tlocations: dict[sqlglot.expressions.Properties.Location, list[sqlglot.expressions.Property]]) -> str:", "funcdef": "def"}, "sqlglot.dialects.teradata.Teradata.Generator.can_identify": {"fullname": "sqlglot.dialects.teradata.Teradata.Generator.can_identify", "modulename": "sqlglot.dialects.teradata", "qualname": "Teradata.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.trino": {"fullname": "sqlglot.dialects.trino", "modulename": "sqlglot.dialects.trino", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.trino.Trino": {"fullname": "sqlglot.dialects.trino.Trino", "modulename": "sqlglot.dialects.trino", "qualname": "Trino", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.presto.Presto"}, "sqlglot.dialects.trino.Trino.Generator": {"fullname": "sqlglot.dialects.trino.Trino.Generator", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.dialects.presto.Presto.Generator"}, "sqlglot.dialects.trino.Trino.Generator.can_identify": {"fullname": "sqlglot.dialects.trino.Trino.Generator.can_identify", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.dialects.trino.Trino.Tokenizer": {"fullname": "sqlglot.dialects.trino.Trino.Tokenizer", "modulename": "sqlglot.dialects.trino", "qualname": "Trino.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.presto.Presto.Tokenizer"}, "sqlglot.dialects.tsql": {"fullname": "sqlglot.dialects.tsql", "modulename": "sqlglot.dialects.tsql", "kind": "module", "doc": "

\n"}, "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql": {"fullname": "sqlglot.dialects.tsql.generate_date_delta_with_unit_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "generate_date_delta_with_unit_sql", "kind": "function", "doc": "

\n", "signature": "(\tself: sqlglot.generator.Generator,\texpression: sqlglot.expressions.DateAdd | sqlglot.expressions.DateDiff) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL": {"fullname": "sqlglot.dialects.tsql.TSQL", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL", "kind": "class", "doc": "

\n", "bases": "sqlglot.dialects.dialect.Dialect"}, "sqlglot.dialects.tsql.TSQL.Tokenizer": {"fullname": "sqlglot.dialects.tsql.TSQL.Tokenizer", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Tokenizer", "kind": "class", "doc": "

\n", "bases": "sqlglot.tokens.Tokenizer"}, "sqlglot.dialects.tsql.TSQL.Parser": {"fullname": "sqlglot.dialects.tsql.TSQL.Parser", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n", "bases": "sqlglot.parser.Parser"}, "sqlglot.dialects.tsql.TSQL.Generator": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n", "bases": "sqlglot.generator.Generator"}, "sqlglot.dialects.tsql.TSQL.Generator.offset_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.offset_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.offset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Offset) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.systemtime_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.systemtime_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SystemTime) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.returnsproperty_sql", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.returnsproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ReturnsProperty) -> str:", "funcdef": "def"}, "sqlglot.dialects.tsql.TSQL.Generator.can_identify": {"fullname": "sqlglot.dialects.tsql.TSQL.Generator.can_identify", "modulename": "sqlglot.dialects.tsql", "qualname": "TSQL.Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.diff": {"fullname": "sqlglot.diff", "modulename": "sqlglot.diff", "kind": "module", "doc": "

Semantic Diff for SQL

\n\n

by Iaroslav Zeigerman

\n\n

Motivation

\n\n

Software is constantly changing and evolving, and identifying what has changed and reviewing those changes is an integral part of the development process. SQL code is no exception to this.

\n\n

Text-based diff tools such as git diff, when applied to a code base, have certain limitations. First, they can only detect insertions and deletions, not movements or updates of individual pieces of code. Second, such tools can only detect changes between lines of text, which is too coarse for something as granular and detailed as source code. Additionally, the outcome of such a diff is dependent on the underlying code formatting, and yields different results if the formatting should change.

\n\n

Consider the following diff generated by Git:

\n\n

\"Git

\n\n

Semantically the query hasn\u2019t changed. The two arguments b and c have been swapped (moved), posing no impact on the output of the query. Yet Git replaced the whole affected expression alongside a bulk of unrelated elements.

\n\n

The alternative to text-based diffing is to compare Abstract Syntax Trees (AST) instead. The main advantage of ASTs are that they are a direct product of code parsing, which represents the underlying code structure at any desired level of granularity. Comparing ASTs may yield extremely precise diffs; changes such as code movements and updates can also be detected. Even more importantly, this approach facilitates additional use cases beyond eyeballing two versions of source code side by side.

\n\n

The use cases I had in mind for SQL when I decided to embark on this journey of semantic diffing were the following:

\n\n
    \n
  • Query similarity score. Identifying which parts the two queries have in common to automatically suggest opportunities for consolidation, creation of intermediate/staging tables, and so on.
    • \n
  • Differentiating between cosmetic / structural changes and functional ones. For example when a nested query is refactored into a common table expression (CTE), this kind of change doesn\u2019t have any functional impact on either a query or its outcome.
    • \n
  • Automatic suggestions about the need to retroactively backfill data. This is especially important for pipelines that populate very large tables for which restatement is a runtime-intensive procedure. The ability to discern between simple code movements and actual modifications can help assess the impact of a change and make suggestions accordingly.
    • \n
\n\n

The implementation discussed in this post is now a part of the SQLGlot library. You can find a complete source code in the diff.py module. The choice of SQLglot was an obvious one due to its simple but powerful API, lack of external dependencies and, more importantly, extensive list of supported SQL dialects.

\n\n

The Search for a Solution

\n\n

When it comes to any diffing tool (not just a semantic one), the primary challenge is to match as many elements of compared entities as possible. Once such a set of matching elements is available, deriving a sequence of changes becomes an easy task.

\n\n

If our elements have unique identifiers associated with them (for example, an element\u2019s ID in DOM), the matching problem is trivial. However, the SQL syntax trees that we are comparing have neither unique keys nor object identifiers that can be used for the purposes of matching. So, how do we suppose to find pairs of nodes that are related?

\n\n

To better illustrate the problem, consider comparing the following SQL expressions: SELECT a + b + c, d, e and SELECT a - b + c, e, f. Matching individual nodes from respective syntax trees can be visualized as follows:

\n\n

\"Figure\nFigure 1: Example of node matching for two SQL expression trees.

\n\n

By looking at the figure of node matching for two SQL expression trees above, we conclude that the following changes should be captured by our solution:

\n\n
    \n
  • Inserted nodes: Sub and f. These are the nodes from the target AST which do not have a matching node in the source AST.
    • \n
  • Removed nodes: Add and d. These are the nodes from the source AST which do not have a counterpart in the target AST.
    • \n
  • Remaining nodes must be identified as unchanged.
    • \n
\n\n

It should be clear at this point that if we manage to match nodes in the source tree with their counterparts in the target tree, then computing the diff becomes a trivial matter.

\n\n

Na\u00efve Brute-Force

\n\n

The na\u00efve solution would be to try all different permutations of node pair combinations, and see which set of pairs performs the best based on some type of heuristics. The runtime cost of such a solution quickly reaches the escape velocity; if both trees had only 10 nodes each, the number of such sets would approximately be 10! ^ 2 = 3.6M ^ 2 ~= 13 * 10^12. This is a very bad case of factorial complexity (to be precise, it\u2019s actually much worse - O(n! ^ 2) - but I couldn\u2019t come up with a name for it), so there is little need to explore this approach any further.

\n\n

Myers Algorithm

\n\n

After the na\u00efve approach was proven to be infeasible, the next question I asked myself was \u201chow does git diff work?\u201d. This question led me to discover the Myers diff algorithm [1]. This algorithm has been designed to compare sequences of strings. At its core, it\u2019s looking for the shortest path on a graph of possible edits that transform the first sequence into the second one, while heavily rewarding those paths that lead to longest subsequences of unchanged elements. There\u2019s a lot of material out there describing this algorithm in greater detail. I found James Coglan\u2019s series of blog posts to be the most comprehensive.

\n\n

Therefore, I had this \u201cbrilliant\u201d (actually not) idea to transform trees into sequences by traversing them in topological order, and then applying the Myers algorithm on resulting sequences while using a custom heuristics when checking the equality of two nodes. Unsurprisingly, comparing sequences of strings is quite different from comparing hierarchical tree structures, and by flattening trees into sequences, we lose a lot of relevant context. This resulted in a terrible performance of this algorithm on ASTs. It often matched completely unrelated nodes, even when the two trees were mostly the same, and produced extremely inaccurate lists of changes overall. After playing around with it a little and tweaking my equality heuristics to improve accuracy, I ultimately scrapped the whole implementation and went back to the drawing board.

\n\n

Change Distiller

\n\n

The algorithm I settled on at the end was Change Distiller, created by Fluri et al. [2], which in turn is an improvement over the core idea described by Chawathe et al. [3].

\n\n

The algorithm consists of two high-level steps:

\n\n
    \n
  1. Finding appropriate matchings between pairs of nodes that are part of compared ASTs. Identifying what is meant by \u201cappropriate\u201d matching is also a part of this step.
    2. \n
  2. Generating the so-called \u201cedit script\u201d from the matching set built in the 1st step. The edit script is a sequence of edit operations (for example, insert, remove, update, etc.) on individual tree nodes, such that when applied as transformations on the source AST, it eventually becomes the target AST. In general, the shorter the sequence, the better. The length of the edit script can be used to compare the performance of different algorithms, though this is not the only metric that matters.
    3. \n
\n\n

The rest of this section is dedicated to the Python implementation of the steps above using the AST implementation provided by the SQLGlot library.

\n\n

Building the Matching Set

\n\n

Matching Leaves

\n\n

We begin composing the matching set by matching the leaf nodes. Leaf nodes are the nodes that do not have any children nodes (such as literals, identifiers, etc.). In order to match them, we gather all the leaf nodes from the source tree and generate a cartesian product with all the leaves from the target tree, while comparing pairs created this way and assigning them a similarity score. During this stage, we also exclude pairs that don\u2019t pass basic matching criteria. Then, we pick pairs that scored the highest while making sure that each node is matched no more than once.

\n\n

Using the example provided at the beginning of the post, the process of building an initial set of candidate matchings can be seen on Figure 2.

\n\n

\"Figure\nFigure 2: Building a set of candidate matchings between leaf nodes. The third item in each triplet represents a similarity score between two nodes.

\n\n

First, let\u2019s analyze the similarity score. Then, we\u2019ll discuss matching criteria.

\n\n

The similarity score proposed by Fluri et al. [2] is a dice coefficient applied to bigrams of respective node values. A bigram is a sequence of two adjacent elements from a string computed in a sliding window fashion:

\n\n
\n
def bigram(string):\n    count = max(0, len(string) - 1)\n    return [string[i : i + 2] for i in range(count)]\n
\n
\n\n

For reasons that will become clear shortly, we actually need to compute bigram histograms rather than just sequences:

\n\n
\n
from collections import defaultdict\n\ndef bigram_histo(string):\n    count = max(0, len(string) - 1)\n    bigram_histo = defaultdict(int)\n    for i in range(count):\n        bigram_histo[string[i : i + 2]] += 1\n    return bigram_histo\n
\n
\n\n

The dice coefficient formula looks like following:

\n\n

\"Dice

\n\n

Where X is a bigram of the source node and Y is a bigram of the second one. What this essentially does is count the number of bigram elements the two nodes have in common, multiply it by 2, and then divide by the total number of elements in both bigrams. This is where bigram histograms come in handy:

\n\n
\n
def dice_coefficient(source, target):\n    source_histo = bigram_histo(source.sql())\n    target_histo = bigram_histo(target.sql())\n\n    total_grams = (\n        sum(source_histo.values()) + sum(target_histo.values())\n    )\n    if not total_grams:\n        return 1.0 if source == target else 0.0\n\n    overlap_len = 0\n    overlapping_grams = set(source_histo) & set(target_histo)\n    for g in overlapping_grams:\n        overlap_len += min(source_histo[g], target_histo[g])\n\n    return 2 * overlap_len / total_grams\n
\n
\n\n

To compute a bigram given a tree node, we first transform the node into its canonical SQL representation,so that the Literal(123) node becomes just \u201c123\u201d and the Identifier(\u201ca\u201d) node becomes just \u201ca\u201d. We also handle a scenario when strings are too short to derive bigrams. In this case, we fallback to checking the two nodes for equality.

\n\n

Now when we know how to compute the similarity score, we can take care of the matching criteria for leaf nodes. In the original paper [2], the matching criteria is formalized as follows:

\n\n

\"Matching

\n\n

The two nodes are matched if two conditions are met:

\n\n
    \n
  1. The node labels match (in our case labels are just node types).
    2. \n
  2. The similarity score for node values is greater than or equal to some threshold \u201cf\u201d. The authors of the paper recommend setting the value of \u201cf\u201d to 0.6.
    3. \n
\n\n

With building blocks in place, we can now build a matching set for leaf nodes. First, we generate a list of candidates for matching:

\n\n
\n
from heapq import heappush, heappop\n\ncandidate_matchings = []\nsource_leaves = _get_leaves(self._source)\ntarget_leaves = _get_leaves(self._target)\nfor source_leaf in source_leaves:\n    for target_leaf in target_leaves:\n        if _is_same_type(source_leaf, target_leaf):\n            similarity_score = dice_coefficient(\n                source_leaf, target_leaf\n            )\n            if similarity_score >= 0.6:\n                heappush(\n                    candidate_matchings,\n                    (\n                        -similarity_score,\n                        len(candidate_matchings),\n                        source_leaf,\n                        target_leaf,\n                    ),\n                )\n
\n
\n\n

In the implementation above, we push each matching pair onto the heap to automatically maintain the correct order based on the assigned similarity score.

\n\n

Finally, we build the initial matching set by picking leaf pairs with the highest score:

\n\n
\n
matching_set = set()\nwhile candidate_matchings:\n    _, _, source_leaf, target_leaf = heappop(candidate_matchings)\n    if (\n        source_leaf in unmatched_source_nodes\n        and target_leaf in unmatched_target_nodes\n    ):\n        matching_set.add((source_leaf, target_leaf))\n        unmatched_source_nodes.remove(source_leaf)\n        unmatched_target_nodes.remove(target_leaf)\n
\n
\n\n

To finalize the matching set, we should now proceed with matching inner nodes.

\n\n

Matching Inner Nodes

\n\n

Matching inner nodes is quite similar to matching leaf nodes, with the following two distinctions:

\n\n
    \n
  • Rather than ranking a set of possible candidates, we pick the first node pair that passes the matching criteria.
    • \n
  • The matching criteria itself has been extended to account for the number of leaf nodes the pair of inner nodes have in common.
    • \n
\n\n

\"Figure\nFigure 3: Matching inner nodes based on their type as well as how many of their leaf nodes have been previously matched.

\n\n

Let\u2019s start with the matching criteria. The criteria is formalized as follows:

\n\n

\"Matching

\n\n

Alongside already familiar similarity score and node type criteria, there is a new one in the middle: the ratio of leaf nodes that the two nodes have in common must exceed some threshold \u201ct\u201d. The recommended value for \u201ct\u201d is also 0.6. Counting the number of common leaf nodes is pretty straightforward, since we already have the complete matching set for leaves. All we need to do is count how many matching pairs do leaf nodes from the two compared inner nodes form.

\n\n

There are two additional heuristics associated with this matching criteria:

\n\n
    \n
  • Inner node similarity weighting: if the similarity score between the node values doesn\u2019t pass the threshold \u201cf\u201d but the ratio of common leaf nodes (\u201ct\u201d) is greater than or equal to 0.8, then the matching is considered successful.
    • \n
  • The threshold \u201ct\u201d is reduced to 0.4 for inner nodes with the number of leaf nodes equal to 4 or less, in order to decrease the false negative rate for small subtrees.
    • \n
\n\n

We now only have to iterate through the remaining unmatched nodes and form matching pairs based on the outlined criteria:

\n\n
\n
leaves_matching_set = matching_set.copy()\n\nfor source_node in unmatched_source_nodes.copy():\n    for target_node in unmatched_target_nodes:\n        if _is_same_type(source_node, target_node):\n            source_leaves = set(_get_leaves(source_node))\n            target_leaves = set(_get_leaves(target_node))\n\n            max_leaves_num = max(len(source_leaves), len(target_leaves))\n            if max_leaves_num:\n                common_leaves_num = sum(\n                    1 if s in source_leaves and t in target_leaves else 0\n                    for s, t in leaves_matching_set\n                )\n                leaf_similarity_score = common_leaves_num / max_leaves_num\n            else:\n                leaf_similarity_score = 0.0\n\n            adjusted_t = (\n                0.6\n                if min(len(source_leaves), len(target_leaves)) > 4\n                else 0.4\n            )\n\n            if leaf_similarity_score >= 0.8 or (\n                leaf_similarity_score >= adjusted_t\n                and dice_coefficient(source_node, target_node) >= 0.6\n            ):\n                matching_set.add((source_node, target_node))\n                unmatched_source_nodes.remove(source_node)\n                unmatched_target_nodes.remove(target_node)\n                break\n
\n
\n\n

After the matching set is formed, we can proceed with generation of the edit script, which will be the algorithm\u2019s output.

\n\n

Generating the Edit Script

\n\n

At this point, we should have the following 3 sets at our disposal:

\n\n
    \n
  • The set of matched node pairs.
    • \n
  • The set of remaining unmatched nodes from the source tree.
    • \n
  • The set of remaining unmatched nodes from the target tree.
    • \n
\n\n

We can derive 3 kinds of edits from the matching set: either the node\u2019s value was updated (Update), the node was moved to a different position within the tree (Move), or the node remained unchanged (Keep). Note that the Move case is not mutually exclusive with the other two. The node could have been updated or could have remained the same while at the same time its position within its parent node or the parent node itself could have changed. All unmatched nodes from the source tree are the ones that were removed (Remove), while unmatched nodes from the target tree are the ones that were inserted (Insert).

\n\n

The latter two cases are pretty straightforward to implement:

\n\n
\n
edit_script = []\n\nfor removed_node in unmatched_source_nodes:\n    edit_script.append(Remove(removed_node))\nfor inserted_node in unmatched_target_nodes:\n    edit_script.append(Insert(inserted_node))\n
\n
\n\n

Traversing the matching set requires a little more thought:

\n\n
\n
for source_node, target_node in matching_set:\n    if (\n        not isinstance(source_node, LEAF_EXPRESSION_TYPES)\n        or source_node == target_node\n    ):\n        move_edits = generate_move_edits(\n            source_node, target_node, matching_set\n        )\n        edit_script.extend(move_edits)\n        edit_script.append(Keep(source_node, target_node))\n    else:\n        edit_script.append(Update(source_node, target_node))\n
\n
\n\n

If a matching pair represents a pair of leaf nodes, we check if they are the same to decide whether an update took place. For inner node pairs, we also need to compare the positions of their respective children to detect node movements. Chawathe et al. [3] suggest applying the longest common subsequence (LCS) algorithm which, no surprise here, was described by Myers himself [1]. There is a small catch, however: instead of checking the equality of two children nodes, we need to check whether the two nodes form a pair that is a part of our matching set.

\n\n

Now with this knowledge, the implementation becomes straightforward:

\n\n
\n
def generate_move_edits(source, target, matching_set):\n    source_children = _get_child_nodes(source)\n    target_children = _get_child_nodes(target)\n\n    lcs = set(\n        _longest_common_subsequence(\n            source_children,\n            target_children,\n            lambda l, r: (l, r) in matching_set\n        )\n    )\n\n    move_edits = []\n    for node in source_children:\n        if node not in lcs and node not in unmatched_source_nodes:\n            move_edits.append(Move(node))\n\n    return move_edits\n
\n
\n\n

I left out the implementation of the LCS algorithm itself here, but there are plenty of implementation choices out there that can be easily looked up.

\n\n

Output

\n\n

The implemented algorithm produces the output that resembles the following:

\n\n
\n
>>> from sqlglot import parse_one, diff\n>>> diff(parse_one("SELECT a + b + c, d, e"), parse_one("SELECT a - b + c, e, f"))\n\nRemove(Add)\nRemove(Column(d))\nRemove(Identifier(d))\nInsert(Sub)\nInsert(Column(f))\nInsert(Identifier(f))\nKeep(Select, Select)\nKeep(Add, Add)\nKeep(Column(a), Column(a))\nKeep(Identifier(a), Identifier(a))\nKeep(Column(b), Column(b))\nKeep(Identifier(b), Identifier(b))\nKeep(Column(c), Column(c))\nKeep(Identifier(c), Identifier(c))\nKeep(Column(e), Column(e))\nKeep(Identifier(e), Identifier(e))\n
\n
\n\n

Note that the output above is abbreviated. The string representation of actual AST nodes is significantly more verbose.

\n\n

The implementation works especially well when coupled with the SQLGlot\u2019s query optimizer which can be used to produce canonical representations of compared queries:

\n\n
\n
>>> schema={"t": {"a": "INT", "b": "INT", "c": "INT", "d": "INT"}}\n>>> source = """\n... SELECT 1 + 1 + a\n... FROM t\n... WHERE b = 1 OR (c = 2 AND d = 3)\n... """\n>>> target = """\n... SELECT 2 + a\n... FROM t\n... WHERE (b = 1 OR c = 2) AND (b = 1 OR d = 3)\n... """\n>>> optimized_source = optimize(parse_one(source), schema=schema)\n>>> optimized_target = optimize(parse_one(target), schema=schema)\n>>> edit_script = diff(optimized_source, optimized_target)\n>>> sum(0 if isinstance(e, Keep) else 1 for e in edit_script)\n0\n
\n
\n\n

Optimizations

\n\n

The worst case runtime complexity of this algorithm is not exactly stellar: O(n^2 * log n^2). This is because of the leaf matching process, which involves ranking a cartesian product between all leaf nodes of compared trees. Unsurprisingly, the algorithm takes a considerable time to finish for bigger queries.

\n\n

There are still a few basic things we can do in our implementation to help improve performance:

\n\n
    \n
  • Refer to individual node objects using their identifiers (Python\u2019s id()) instead of direct references in sets. This helps avoid costly recursive hash calculations and equality checks.
    • \n
  • Cache bigram histograms to avoid computing them more than once for the same node.
    • \n
  • Compute the canonical SQL string representation for each tree once while caching string representations of all inner nodes. This prevents redundant tree traversals when bigrams are computed.
    • \n
\n\n

At the time of writing only the first two optimizations have been implemented, so there is an opportunity to contribute for anyone who\u2019s interested.

\n\n

Alternative Solutions

\n\n

This section is dedicated to solutions that I\u2019ve investigated, but haven\u2019t tried.

\n\n

First, this section wouldn\u2019t be complete without Tristan Hume\u2019s blog post. Tristan\u2019s solution has a lot in common with the Myers algorithm plus heuristics that is much more clever than what I came up with. The implementation relies on a combination of dynamic programming and A* search algorithm to explore the space of possible matchings and pick the best ones. It seemed to have worked well for Tistan\u2019s specific use case, but after my negative experience with the Myers algorithm, I decided to try something different.

\n\n

Another notable approach is the Gumtree algorithm by Falleri et al. [4]. I discovered this paper after I\u2019d already implemented the algorithm that is the main focus of this post. In sections 5.2 and 5.3 of their paper, the authors compare the two algorithms side by side and claim that Gumtree is significantly better in terms of both runtime performance and accuracy when evaluated on 12 792 pairs of Java source files. This doesn\u2019t surprise me, as the algorithm takes the height of subtrees into account. In my tests, I definitely saw scenarios in which this context would have helped. On top of that, the authors promise O(n^2) runtime complexity in the worst case which, given the Change Distiller's O(n^2 * log n^2), looks particularly tempting. I hope to try this algorithm out at some point, and there is a good chance you see me writing about it in my future posts.

\n\n

Conclusion

\n\n

The Change Distiller algorithm yielded quite satisfactory results in most of my tests. The scenarios in which it fell short mostly concerned identical (or very similar) subtrees located in different parts of the AST. In those cases, node mismatches were frequent and, as a result, edit scripts were somewhat suboptimal.

\n\n

Additionally, the runtime performance of the algorithm leaves a lot to be desired. On trees with 1000 leaf nodes each, the algorithm takes a little under 2 seconds to complete. My implementation still has room for improvement, but this should give you a rough idea of what to expect. It appears that the Gumtree algorithm [4] can help address both of these points. I hope to find bandwidth to work on it soon and then compare the two algorithms side-by-side to find out which one performs better on SQL specifically. In the meantime, Change Distiller definitely gets the job done, and I can now proceed with applying it to some of the use cases I mentioned at the beginning of this post.

\n\n

I\u2019m also curious to learn whether other folks in the industry faced a similar problem, and how they approached it. If you did something similar, I\u2019m interested to hear about your experience.

\n\n

References

\n\n

[1] Eugene W. Myers. An O(ND) Difference Algorithm and Its Variations. Algorithmica 1(2): 251-266 (1986)

\n\n

[2] B. Fluri, M. Wursch, M. Pinzger, and H. Gall. Change Distilling: Tree differencing for fine-grained source code change extraction. IEEE Trans. Software Eng., 33(11):725\u2013743, 2007.

\n\n

[3] S.S. Chawathe, A. Rajaraman, H. Garcia-Molina, and J. Widom. Change Detection in Hierarchically Structured Information. Proc. ACM Sigmod Int\u2019l Conf. Management of Data, pp. 493-504, June 1996

\n\n

[4] Jean-R\u00e9my Falleri, Flor\u00e9al Morandat, Xavier Blanc, Matias Martinez, Martin Monperrus. Fine-grained and Accurate Source Code Differencing. Proceedings of the International Conference on Automated Software Engineering, 2014, V\u00e4steras, Sweden. pp.313-324, 10.1145/2642937.2642982. hal-01054552

\n\n
\n"}, "sqlglot.diff.Insert": {"fullname": "sqlglot.diff.Insert", "modulename": "sqlglot.diff", "qualname": "Insert", "kind": "class", "doc": "

Indicates that a new node has been inserted

\n"}, "sqlglot.diff.Insert.__init__": {"fullname": "sqlglot.diff.Insert.__init__", "modulename": "sqlglot.diff", "qualname": "Insert.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Remove": {"fullname": "sqlglot.diff.Remove", "modulename": "sqlglot.diff", "qualname": "Remove", "kind": "class", "doc": "

Indicates that an existing node has been removed

\n"}, "sqlglot.diff.Remove.__init__": {"fullname": "sqlglot.diff.Remove.__init__", "modulename": "sqlglot.diff", "qualname": "Remove.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Move": {"fullname": "sqlglot.diff.Move", "modulename": "sqlglot.diff", "qualname": "Move", "kind": "class", "doc": "

Indicates that an existing node's position within the tree has changed

\n"}, "sqlglot.diff.Move.__init__": {"fullname": "sqlglot.diff.Move.__init__", "modulename": "sqlglot.diff", "qualname": "Move.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.diff.Update": {"fullname": "sqlglot.diff.Update", "modulename": "sqlglot.diff", "qualname": "Update", "kind": "class", "doc": "

Indicates that an existing node has been updated

\n"}, "sqlglot.diff.Update.__init__": {"fullname": "sqlglot.diff.Update.__init__", "modulename": "sqlglot.diff", "qualname": "Update.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.Keep": {"fullname": "sqlglot.diff.Keep", "modulename": "sqlglot.diff", "qualname": "Keep", "kind": "class", "doc": "

Indicates that an existing node hasn't been changed

\n"}, "sqlglot.diff.Keep.__init__": {"fullname": "sqlglot.diff.Keep.__init__", "modulename": "sqlglot.diff", "qualname": "Keep.__init__", "kind": "function", "doc": "

\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression)"}, "sqlglot.diff.diff": {"fullname": "sqlglot.diff.diff", "modulename": "sqlglot.diff", "qualname": "diff", "kind": "function", "doc": "

Returns the list of changes between the source and the target expressions.

\n\n
Examples:
\n\n
\n
\n
>>> diff(parse_one("a + b"), parse_one("a + c"))\n[\n    Remove(expression=(COLUMN this: (IDENTIFIER this: b, quoted: False))),\n    Insert(expression=(COLUMN this: (IDENTIFIER this: c, quoted: False))),\n    Keep(\n        source=(ADD this: ...),\n        target=(ADD this: ...)\n    ),\n    Keep(\n        source=(COLUMN this: (IDENTIFIER this: a, quoted: False)),\n        target=(COLUMN this: (IDENTIFIER this: a, quoted: False))\n    ),\n]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • source: the source expression.
    • \n
  • target: the target expression against which the diff should be calculated.
    • \n
  • matchings: the list of pre-matched node pairs which is used to help the algorithm's\nheuristics produce better results for subtrees that are known by a caller to be matching.\nNote: expression references in this list must refer to the same node objects that are\nreferenced in source / target trees.
    • \n
\n\n
Returns:
\n\n
\n

the list of Insert, Remove, Move, Update and Keep objects for each node in the source and the\n target expression trees. This list represents a sequence of steps needed to transform the source\n expression tree into the target one.

\n
\n", "signature": "(\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None,\t**kwargs: Any) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.diff.ChangeDistiller": {"fullname": "sqlglot.diff.ChangeDistiller", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller", "kind": "class", "doc": "

The implementation of the Change Distiller algorithm described by Beat Fluri and Martin Pinzger in\ntheir paper https://ieeexplore.ieee.org/document/4339230, which in turn is based on the algorithm by\nChawathe et al. described in http://ilpubs.stanford.edu:8090/115/1/1995-46.pdf.

\n"}, "sqlglot.diff.ChangeDistiller.__init__": {"fullname": "sqlglot.diff.ChangeDistiller.__init__", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.__init__", "kind": "function", "doc": "

\n", "signature": "(f: float = 0.6, t: float = 0.6)"}, "sqlglot.diff.ChangeDistiller.diff": {"fullname": "sqlglot.diff.ChangeDistiller.diff", "modulename": "sqlglot.diff", "qualname": "ChangeDistiller.diff", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsource: sqlglot.expressions.Expression,\ttarget: sqlglot.expressions.Expression,\tmatchings: Optional[List[Tuple[sqlglot.expressions.Expression, sqlglot.expressions.Expression]]] = None) -> List[Union[sqlglot.diff.Insert, sqlglot.diff.Remove, sqlglot.diff.Move, sqlglot.diff.Update, sqlglot.diff.Keep]]:", "funcdef": "def"}, "sqlglot.errors": {"fullname": "sqlglot.errors", "modulename": "sqlglot.errors", "kind": "module", "doc": "

\n"}, "sqlglot.errors.ErrorLevel": {"fullname": "sqlglot.errors.ErrorLevel", "modulename": "sqlglot.errors", "qualname": "ErrorLevel", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.errors.ErrorLevel.IGNORE": {"fullname": "sqlglot.errors.ErrorLevel.IGNORE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IGNORE", "kind": "variable", "doc": "

Ignore all errors.

\n", "default_value": "<ErrorLevel.IGNORE: 'IGNORE'>"}, "sqlglot.errors.ErrorLevel.WARN": {"fullname": "sqlglot.errors.ErrorLevel.WARN", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.WARN", "kind": "variable", "doc": "

Log all errors.

\n", "default_value": "<ErrorLevel.WARN: 'WARN'>"}, "sqlglot.errors.ErrorLevel.RAISE": {"fullname": "sqlglot.errors.ErrorLevel.RAISE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.RAISE", "kind": "variable", "doc": "

Collect all errors and raise a single exception.

\n", "default_value": "<ErrorLevel.RAISE: 'RAISE'>"}, "sqlglot.errors.ErrorLevel.IMMEDIATE": {"fullname": "sqlglot.errors.ErrorLevel.IMMEDIATE", "modulename": "sqlglot.errors", "qualname": "ErrorLevel.IMMEDIATE", "kind": "variable", "doc": "

Immediately raise an exception on the first error found.

\n", "default_value": "<ErrorLevel.IMMEDIATE: 'IMMEDIATE'>"}, "sqlglot.errors.SqlglotError": {"fullname": "sqlglot.errors.SqlglotError", "modulename": "sqlglot.errors", "qualname": "SqlglotError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "builtins.Exception"}, "sqlglot.errors.UnsupportedError": {"fullname": "sqlglot.errors.UnsupportedError", "modulename": "sqlglot.errors", "qualname": "UnsupportedError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError": {"fullname": "sqlglot.errors.ParseError", "modulename": "sqlglot.errors", "qualname": "ParseError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ParseError.__init__": {"fullname": "sqlglot.errors.ParseError.__init__", "modulename": "sqlglot.errors", "qualname": "ParseError.__init__", "kind": "function", "doc": "

\n", "signature": "(message: str, errors: Optional[List[Dict[str, Any]]] = None)"}, "sqlglot.errors.ParseError.new": {"fullname": "sqlglot.errors.ParseError.new", "modulename": "sqlglot.errors", "qualname": "ParseError.new", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmessage: str,\tdescription: Optional[str] = None,\tline: Optional[int] = None,\tcol: Optional[int] = None,\tstart_context: Optional[str] = None,\thighlight: Optional[str] = None,\tend_context: Optional[str] = None,\tinto_expression: Optional[str] = None) -> sqlglot.errors.ParseError:", "funcdef": "def"}, "sqlglot.errors.TokenError": {"fullname": "sqlglot.errors.TokenError", "modulename": "sqlglot.errors", "qualname": "TokenError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.OptimizeError": {"fullname": "sqlglot.errors.OptimizeError", "modulename": "sqlglot.errors", "qualname": "OptimizeError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.SchemaError": {"fullname": "sqlglot.errors.SchemaError", "modulename": "sqlglot.errors", "qualname": "SchemaError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.ExecuteError": {"fullname": "sqlglot.errors.ExecuteError", "modulename": "sqlglot.errors", "qualname": "ExecuteError", "kind": "class", "doc": "

Common base class for all non-exit exceptions.

\n", "bases": "SqlglotError"}, "sqlglot.errors.concat_messages": {"fullname": "sqlglot.errors.concat_messages", "modulename": "sqlglot.errors", "qualname": "concat_messages", "kind": "function", "doc": "

\n", "signature": "(errors: Sequence[Any], maximum: int) -> str:", "funcdef": "def"}, "sqlglot.errors.merge_errors": {"fullname": "sqlglot.errors.merge_errors", "modulename": "sqlglot.errors", "qualname": "merge_errors", "kind": "function", "doc": "

\n", "signature": "(errors: Sequence[sqlglot.errors.ParseError]) -> List[Dict[str, Any]]:", "funcdef": "def"}, "sqlglot.executor": {"fullname": "sqlglot.executor", "modulename": "sqlglot.executor", "kind": "module", "doc": "

Writing a Python SQL engine from scratch

\n\n

Toby Mao

\n\n

Introduction

\n\n

When I first started writing SQLGlot in early 2021, my goal was just to translate SQL queries from SparkSQL to Presto and vice versa. However, over the last year and a half, I've ended up with a full-fledged SQL engine. SQLGlot can now parse and transpile between 18 SQL dialects and can execute all 24 TPC-H SQL queries. The parser and engine are all written from scratch using Python.

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This post will cover why I went through the effort of creating a Python SQL engine and how a simple query goes from a string to actually transforming data. The following steps are briefly summarized:

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Why?

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I started working on SQLGlot because of my work on the experimentation and metrics platform at Netflix, where I built tools that allowed data scientists to define and compute SQL-based metrics. Netflix relied on multiple engines to query data (Spark, Presto, and Druid), so my team built the metrics platform around PyPika, a Python SQL query builder. This way, definitions could be reused across multiple engines. However, it became quickly apparent that writing python code to programmatically generate SQL was challenging for data scientists, especially those with academic backgrounds, since they were mostly familiar with R and SQL. At the time, the only Python SQL parser was sqlparse, which is not actually a parser but a tokenizer, so having users write raw SQL into the platform wasn't really an option. Some time later, I randomly stumbled across Crafting Interpreters and realized that I could use it as a guide towards creating my own SQL parser/transpiler.

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Why did I do this? Isn't a Python SQL engine going to be extremely slow?

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The main reason why I ended up building a SQL engine was...just for entertainment. It's been fun learning about all the things required to actually run a SQL query, and seeing it actually work is extremely rewarding. Before SQLGlot, I had zero experience with lexers, parsers, or compilers.

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In terms of practical use cases, I planned to use the Python SQL engine for unit testing SQL pipelines. Big data pipelines are tough to test because many of the engines are not open source and cannot be run locally. With SQLGlot, you can take a SQL query targeting a warehouse such as Snowflake and seamlessly run it in CI on mock Python data. It's easy to mock data and create arbitrary UDFs because everything is just Python. Although the implementation is slow and unsuitable for large amounts of data (> 1 million rows), there's very little overhead/startup and you can run queries on test data in a couple of milliseconds.

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Finally, the components that have been built to support execution can be used as a foundation for a faster engine. I'm inspired by what Apache Calcite has done for the JVM world. Even though Python is commonly used for data, there hasn't been a Calcite for Python. So, you could say that SQLGlot aims to be that framework. For example, it wouldn't take much work to replace the Python execution engine with numpy/pandas/arrow to become a respectably-performing query engine. The implementation would be able to leverage the parser, optimizer, and logical planner, only needing to implement physical execution. There is a lot of work in the Python ecosystem around high performance vectorized computation, which I think could benefit from a pure Python-based AST/plan. Parsing and planning doesn't have to be fast when the bottleneck of running queries is processing terabytes of data. So, having a Python-based ecosystem around SQL is beneficial given the ease of development in Python, despite not having bare metal performance.

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Parts of SQLGlot's toolkit are being used today by the following:

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    \n
  • Ibis: A Python library that provides a lightweight, universal interface for data wrangling.\n
      \n
    • Uses the Python SQL expression builder and leverages the optimizer/planner to convert SQL into dataframe operations.
      • \n
    • \n
  • mysql-mimic: Pure-Python implementation of the MySQL server wire protocol\n
      \n
    • Parses / transforms SQL and executes INFORMATION_SCHEMA queries.
      • \n
    • \n
  • Quokka: Push-based vectorized query engine\n
      \n
    • Parse and optimizes SQL.
      • \n
    • \n
  • Splink: Fast, accurate and scalable probabilistic data linkage using your choice of SQL backend.\n
      \n
    • Transpiles queries.
      • \n
    • \n
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How?

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There are many steps involved with actually running a simple query like:

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\n
SELECT\n  bar.a,\n  b + 1 AS b\nFROM bar\nJOIN baz\n  ON bar.a = baz.a\nWHERE bar.a > 1\n
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In this post, I'll walk through all the steps SQLGlot takes to run this query over Python objects.

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Tokenizing

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The first step is to convert the sql string into a list of tokens. SQLGlot's tokenizer is quite simple and can be found here. In a while loop, it checks each character and either appends the character to the current token, or makes a new token.

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Running the SQLGlot tokenizer shows the output.

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\"Tokenizer

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Each keyword has been converted to a SQLGlot Token object. Each token has some metadata associated with it, like line/column information for error messages. Comments are also a part of the token, so that comments can be preserved.

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Parsing

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Once a SQL statement is tokenized, we don't need to worry about white space and other formatting, so it's easier to work with. We can now convert the list of tokens into an AST. The SQLGlot parser is a handwritten recursive descent parser.

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Similar to the tokenizer, it consumes the tokens sequentially, but it instead uses a recursive algorithm. The tokens are converted into a single AST node that presents the SQL query. The SQLGlot parser was designed to support various dialects, so it contains many options for overriding parsing functionality.

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\"Parser

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The AST is a generic representation of a given SQL query. Each dialect can override or implement its own generator, which can convert an AST object into syntatically-correct SQL.

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Optimizing

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Once we have our AST, we can transform it into an equivalent query that produces the same results more efficiently. When optimizing queries, most engines first convert the AST into a logical plan and then optimize the plan. However, I chose to optimize the AST directly for the following reasons:

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    \n

  1. It's easier to debug and validate the optimizations when the input and output are both SQL.

    2. \n

  2. Rules can be applied a la carte to transform SQL into a more desirable form.

    3. \n

  3. I wanted a way to generate 'canonical sql'. Having a canonical representation of SQL is useful for understanding if two queries are semantically equivalent (e.g. SELECT 1 + 1 and SELECT 2).

    4. \n
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I've yet to find another engine that takes this approach, but I'm quite happy with this decision. The optimizer currently does not perform any \"physical optimizations\" such as join reordering. Those are left to the execution layer, as additional statistics and information could become relevant.

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\"Optimizer

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The optimizer currently has 17 rules. Each of these rules is applied, transforming the AST in place. The combination of these rules creates \"canonical\" sql that can then be more easily converted into a logical plan and executed.

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Some example rules are:

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qualify_tables and qualify_columns

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    \n
  • Adds all db/catalog qualifiers to tables and forces an alias.
    • \n
  • Ensure each column is unambiguous and expand stars.
    • \n
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SELECT * FROM x;\n\nSELECT "db"."x" AS "x";\n
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simplify

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Boolean and math simplification. Check out all the test cases.

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((NOT FALSE) AND (x = x)) AND (TRUE OR 1 <> 3);\nx = x;\n\n1 + 1;\n2;\n
\n
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normalize

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Attempts to convert all predicates into conjunctive normal form.

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\n
-- DNF\n(A AND B) OR (B AND C AND D);\n\n-- CNF\n(A OR C) AND (A OR D) AND B;\n
\n
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unnest_subqueries

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Converts subqueries in predicates into joins.

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\n
-- The subquery can be converted into a left join\nSELECT *\nFROM x AS x\nWHERE (\n  SELECT y.a AS a\n  FROM y AS y\n  WHERE x.a = y.a\n) = 1;\n\nSELECT *\nFROM x AS x\nLEFT JOIN (\n  SELECT y.a AS a\n  FROM y AS y\n  WHERE TRUE\n  GROUP BY y.a\n) AS "_u_0"\n  ON x.a = "_u_0".a\nWHERE ("_u_0".a = 1 AND NOT "_u_0".a IS NULL)\n
\n
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pushdown_predicates

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Push down filters into the innermost query.

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\n
SELECT *\nFROM (\n  SELECT *\n  FROM x AS x\n) AS y\nWHERE y.a = 1;\n\nSELECT *\nFROM (\n  SELECT *\n  FROM x AS x\n  WHERE y.a = 1\n) AS y WHERE TRUE\n
\n
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annotate_types

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Infer all types throughout the AST given schema information and function type definitions.

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Planning

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After the SQL AST has been \"optimized\", it's much easier to convert into a logical plan. The AST is traversed and converted into a DAG consisting of one of five steps. The different steps are:

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Scan

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Selects columns from a table, applies projections, and finally filters the table.

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Sort

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Sorts a table for order by expressions.

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Set

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Applies the operators union/union all/except/intersect.

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Aggregate

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Applies an aggregation/group by.

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Join

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Joins multiple tables together.

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\"Planner

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The logical plan is quite simple and contains the information required to convert it into a physical plan (execution).

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Executing

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Finally, we can actually execute the SQL query. The Python engine is not fast, but it's very small (~400 LOC)! It iterates the DAG with a queue and runs each step, passing each intermediary table to the next step.

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In order to keep things simple, it evaluates expressions with eval. Because SQLGlot was built primarily to be a transpiler, it was simple to create a \"Python SQL\" dialect. So a SQL expression x + 1 can just be converted into scope['x'] + 1.

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\"Executor

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What's next

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SQLGlot's main focus will always be on parsing/transpiling, but I plan to continue development on the execution engine. I'd like to pass TPC-DS. If someone doesn't beat me to it, I may even take a stab at writing a Pandas/Arrow execution engine.

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I'm hoping that over time, SQLGlot will spark the Python SQL ecosystem just like Calcite has for Java.

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Special thanks

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SQLGlot would not be what it is without it's core contributors. In particular, the execution engine would not exist without Barak Alon and George Sittas.

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Get in touch

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If you'd like to chat more about SQLGlot, please join my Slack Channel!

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\n"}, "sqlglot.executor.execute": {"fullname": "sqlglot.executor.execute", "modulename": "sqlglot.executor", "qualname": "execute", "kind": "function", "doc": "

Run a sql query against data.

\n\n
Arguments:
\n\n
    \n
  • sql: a sql statement.
    • \n
  • schema: database schema.\nThis can either be an instance of Schema or a mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
      2. \n
    2. {db: {table: {col: type}}}
      3. \n
    3. {catalog: {db: {table: {col: type}}}}
      4. \n
    • \n
  • read: the SQL dialect to apply during parsing (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • tables: additional tables to register.
    • \n
\n\n
Returns:
\n\n
\n

Simple columnar data structure.

\n
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Execution context for sql expressions.

\n\n

Context is used to hold relevant data tables which can then be queried on with eval.

\n\n

References to columns can either be scalar or vectors. When set_row is used, column references\nevaluate to scalars while set_range evaluates to vectors. This allows convenient and efficient\nevaluation of aggregation functions.

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Decorator that makes a function return None if any of the required arguments are None.

\n\n

This also supports decoration with no arguments, e.g.:

\n\n
@null_if_any\ndef foo(a, b): ...\n
\n\n

In which case all arguments are required.

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Convert a SQL expression into literal Python code and compile it into bytecode.

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Convert an array of SQL expressions into tuple of Python byte code.

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Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
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Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.executor.table": {"fullname": "sqlglot.executor.table", "modulename": "sqlglot.executor.table", "kind": "module", "doc": "

\n"}, "sqlglot.executor.table.Table": {"fullname": "sqlglot.executor.table.Table", "modulename": "sqlglot.executor.table", "qualname": "Table", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.Table.__init__": {"fullname": "sqlglot.executor.table.Table.__init__", "modulename": "sqlglot.executor.table", "qualname": "Table.__init__", "kind": "function", "doc": "

\n", "signature": "(columns, rows=None, column_range=None)"}, "sqlglot.executor.table.Table.add_columns": {"fullname": "sqlglot.executor.table.Table.add_columns", "modulename": "sqlglot.executor.table", "qualname": "Table.add_columns", "kind": "function", "doc": "

\n", "signature": "(self, *columns: str) -> None:", "funcdef": "def"}, "sqlglot.executor.table.Table.append": {"fullname": "sqlglot.executor.table.Table.append", "modulename": "sqlglot.executor.table", "qualname": "Table.append", "kind": "function", "doc": "

\n", "signature": "(self, row):", "funcdef": "def"}, "sqlglot.executor.table.Table.pop": {"fullname": "sqlglot.executor.table.Table.pop", "modulename": "sqlglot.executor.table", "qualname": "Table.pop", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.executor.table.TableIter": {"fullname": "sqlglot.executor.table.TableIter", "modulename": "sqlglot.executor.table", "qualname": "TableIter", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.TableIter.__init__": {"fullname": "sqlglot.executor.table.TableIter.__init__", "modulename": "sqlglot.executor.table", "qualname": "TableIter.__init__", "kind": "function", "doc": "

\n", "signature": "(table)"}, "sqlglot.executor.table.RangeReader": {"fullname": "sqlglot.executor.table.RangeReader", "modulename": "sqlglot.executor.table", "qualname": "RangeReader", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.RangeReader.__init__": {"fullname": "sqlglot.executor.table.RangeReader.__init__", "modulename": "sqlglot.executor.table", "qualname": "RangeReader.__init__", "kind": "function", "doc": "

\n", "signature": "(table)"}, "sqlglot.executor.table.RowReader": {"fullname": "sqlglot.executor.table.RowReader", "modulename": "sqlglot.executor.table", "qualname": "RowReader", "kind": "class", "doc": "

\n"}, "sqlglot.executor.table.RowReader.__init__": {"fullname": "sqlglot.executor.table.RowReader.__init__", "modulename": "sqlglot.executor.table", "qualname": "RowReader.__init__", "kind": "function", "doc": "

\n", "signature": "(columns, column_range=None)"}, "sqlglot.executor.table.Tables": {"fullname": "sqlglot.executor.table.Tables", "modulename": "sqlglot.executor.table", "qualname": "Tables", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "sqlglot.schema.AbstractMappingSchema[sqlglot.executor.table.Table]"}, "sqlglot.executor.table.ensure_tables": {"fullname": "sqlglot.executor.table.ensure_tables", "modulename": "sqlglot.executor.table", "qualname": "ensure_tables", "kind": "function", "doc": "

\n", "signature": "(d: Optional[Dict]) -> sqlglot.executor.table.Tables:", "funcdef": "def"}, "sqlglot.expressions": {"fullname": "sqlglot.expressions", "modulename": "sqlglot.expressions", "kind": "module", "doc": "

Expressions

\n\n

Every AST node in SQLGlot is represented by a subclass of Expression.

\n\n

This module contains the implementation of all supported Expression types. Additionally,\nit exposes a number of helper functions, which are mainly used to programmatically build\nSQL expressions, such as sqlglot.expressions.select.

\n\n
\n"}, "sqlglot.expressions.Expression": {"fullname": "sqlglot.expressions.Expression", "modulename": "sqlglot.expressions", "qualname": "Expression", "kind": "class", "doc": "

The base class for all expressions in a syntax tree. Each Expression encapsulates any necessary\ncontext, such as its child expressions, their names (arg keys), and whether a given child expression\nis optional or not.

\n\n
Attributes:
\n\n
    \n
  • key: a unique key for each class in the Expression hierarchy. This is useful for hashing\nand representing expressions as strings.
    • \n
  • arg_types: determines what arguments (child nodes) are supported by an expression. It\nmaps arg keys to booleans that indicate whether the corresponding args are optional.
    • \n
  • parent: a reference to the parent expression (or None, in case of root expressions).
    • \n
  • arg_key: the arg key an expression is associated with, i.e. the name its parent expression\nuses to refer to it.
    • \n
  • comments: a list of comments that are associated with a given expression. This is used in\norder to preserve comments when transpiling SQL code.
    • \n
  • _type: the sqlglot.expressions.DataType type of an expression. This is inferred by the\noptimizer, in order to enable some transformations that require type information.
    • \n
\n\n
Example:
\n\n
\n
\n
>>> class Foo(Expression):\n...     arg_types = {"this": True, "expression": False}\n
\n
\n \n

The above definition informs us that Foo is an Expression that requires an argument called\n \"this\" and may also optionally receive an argument called \"expression\".

\n
\n\n
Arguments:
\n\n
    \n
  • args: a mapping used for retrieving the arguments of an expression, given their arg keys.
    • \n
\n"}, "sqlglot.expressions.Expression.__init__": {"fullname": "sqlglot.expressions.Expression.__init__", "modulename": "sqlglot.expressions", "qualname": "Expression.__init__", "kind": "function", "doc": "

\n", "signature": "(**args: Any)"}, "sqlglot.expressions.Expression.this": {"fullname": "sqlglot.expressions.Expression.this", "modulename": "sqlglot.expressions", "qualname": "Expression.this", "kind": "variable", "doc": "

Retrieves the argument with key \"this\".

\n"}, "sqlglot.expressions.Expression.expression": {"fullname": "sqlglot.expressions.Expression.expression", "modulename": "sqlglot.expressions", "qualname": "Expression.expression", "kind": "variable", "doc": "

Retrieves the argument with key \"expression\".

\n"}, "sqlglot.expressions.Expression.expressions": {"fullname": "sqlglot.expressions.Expression.expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.expressions", "kind": "variable", "doc": "

Retrieves the argument with key \"expressions\".

\n"}, "sqlglot.expressions.Expression.text": {"fullname": "sqlglot.expressions.Expression.text", "modulename": "sqlglot.expressions", "qualname": "Expression.text", "kind": "function", "doc": "

Returns a textual representation of the argument corresponding to \"key\". This can only be used\nfor args that are strings or leaf Expression instances, such as identifiers and literals.

\n", "signature": "(self, key) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.is_string": {"fullname": "sqlglot.expressions.Expression.is_string", "modulename": "sqlglot.expressions", "qualname": "Expression.is_string", "kind": "variable", "doc": "

Checks whether a Literal expression is a string.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_number": {"fullname": "sqlglot.expressions.Expression.is_number", "modulename": "sqlglot.expressions", "qualname": "Expression.is_number", "kind": "variable", "doc": "

Checks whether a Literal expression is a number.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_int": {"fullname": "sqlglot.expressions.Expression.is_int", "modulename": "sqlglot.expressions", "qualname": "Expression.is_int", "kind": "variable", "doc": "

Checks whether a Literal expression is an integer.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.is_star": {"fullname": "sqlglot.expressions.Expression.is_star", "modulename": "sqlglot.expressions", "qualname": "Expression.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.alias": {"fullname": "sqlglot.expressions.Expression.alias", "modulename": "sqlglot.expressions", "qualname": "Expression.alias", "kind": "variable", "doc": "

Returns the alias of the expression, or an empty string if it's not aliased.

\n", "annotation": ": str"}, "sqlglot.expressions.Expression.output_name": {"fullname": "sqlglot.expressions.Expression.output_name", "modulename": "sqlglot.expressions", "qualname": "Expression.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Expression.copy": {"fullname": "sqlglot.expressions.Expression.copy", "modulename": "sqlglot.expressions", "qualname": "Expression.copy", "kind": "function", "doc": "

Returns a deep copy of the expression.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.add_comments": {"fullname": "sqlglot.expressions.Expression.add_comments", "modulename": "sqlglot.expressions", "qualname": "Expression.add_comments", "kind": "function", "doc": "

\n", "signature": "(self, comments: Optional[List[str]]) -> None:", "funcdef": "def"}, "sqlglot.expressions.Expression.append": {"fullname": "sqlglot.expressions.Expression.append", "modulename": "sqlglot.expressions", "qualname": "Expression.append", "kind": "function", "doc": "

Appends value to arg_key if it's a list or sets it as a new list.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the list expression arg
    • \n
  • value (Any): value to append to the list
    • \n
\n", "signature": "(self, arg_key: str, value: Any) -> None:", "funcdef": "def"}, "sqlglot.expressions.Expression.set": {"fullname": "sqlglot.expressions.Expression.set", "modulename": "sqlglot.expressions", "qualname": "Expression.set", "kind": "function", "doc": "

Sets arg_key to value.

\n\n
Arguments:
\n\n
    \n
  • arg_key (str): name of the expression arg.
    • \n
  • value: value to set the arg to.
    • \n
\n", "signature": "(self, arg_key: str, value: Any) -> None:", "funcdef": "def"}, "sqlglot.expressions.Expression.depth": {"fullname": "sqlglot.expressions.Expression.depth", "modulename": "sqlglot.expressions", "qualname": "Expression.depth", "kind": "variable", "doc": "

Returns the depth of this tree.

\n", "annotation": ": int"}, "sqlglot.expressions.Expression.iter_expressions": {"fullname": "sqlglot.expressions.Expression.iter_expressions", "modulename": "sqlglot.expressions", "qualname": "Expression.iter_expressions", "kind": "function", "doc": "

Yields the key and expression for all arguments, exploding list args.

\n", "signature": "(self) -> Iterator[Tuple[str, sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find": {"fullname": "sqlglot.expressions.Expression.find", "modulename": "sqlglot.expressions", "qualname": "Expression.find", "kind": "function", "doc": "

Returns the first node in this tree which matches at least one of\nthe specified types.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
  • bfs: whether to search the AST using the BFS algorithm (DFS is used if false).
    • \n
\n\n
Returns:
\n\n
\n

The node which matches the criteria or None if no such node was found.

\n
\n", "signature": "(self, *expression_types: Type[~E], bfs: bool = True) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_all": {"fullname": "sqlglot.expressions.Expression.find_all", "modulename": "sqlglot.expressions", "qualname": "Expression.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree and only\nyields those that match at least one of the specified expression types.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
  • bfs: whether to search the AST using the BFS algorithm (DFS is used if false).
    • \n
\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, *expression_types: Type[~E], bfs: bool = True) -> Iterator[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.find_ancestor": {"fullname": "sqlglot.expressions.Expression.find_ancestor", "modulename": "sqlglot.expressions", "qualname": "Expression.find_ancestor", "kind": "function", "doc": "

Returns a nearest parent matching expression_types.

\n\n
Arguments:
\n\n
    \n
  • expression_types: the expression type(s) to match.
    • \n
\n\n
Returns:
\n\n
\n

The parent node.

\n
\n", "signature": "(self, *expression_types: Type[~E]) -> Optional[~E]:", "funcdef": "def"}, "sqlglot.expressions.Expression.parent_select": {"fullname": "sqlglot.expressions.Expression.parent_select", "modulename": "sqlglot.expressions", "qualname": "Expression.parent_select", "kind": "variable", "doc": "

Returns the parent select statement.

\n", "annotation": ": Optional[sqlglot.expressions.Select]"}, "sqlglot.expressions.Expression.same_parent": {"fullname": "sqlglot.expressions.Expression.same_parent", "modulename": "sqlglot.expressions", "qualname": "Expression.same_parent", "kind": "variable", "doc": "

Returns if the parent is the same class as itself.

\n", "annotation": ": bool"}, "sqlglot.expressions.Expression.root": {"fullname": "sqlglot.expressions.Expression.root", "modulename": "sqlglot.expressions", "qualname": "Expression.root", "kind": "function", "doc": "

Returns the root expression of this tree.

\n", "signature": "(self) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.Expression.walk": {"fullname": "sqlglot.expressions.Expression.walk", "modulename": "sqlglot.expressions", "qualname": "Expression.walk", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree.

\n\n
Arguments:
\n\n
    \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
    • \n
  • prune ((node, parent, arg_key) -> bool): callable that returns True if\nthe generator should stop traversing this branch of the tree.
    • \n
\n\n
Returns:
\n\n
\n

the generator object.

\n
\n", "signature": "(self, bfs=True, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.dfs": {"fullname": "sqlglot.expressions.Expression.dfs", "modulename": "sqlglot.expressions", "qualname": "Expression.dfs", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree in\nthe DFS (Depth-first) order.

\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, parent=None, key=None, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.bfs": {"fullname": "sqlglot.expressions.Expression.bfs", "modulename": "sqlglot.expressions", "qualname": "Expression.bfs", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this tree in\nthe BFS (Breadth-first) order.

\n\n
Returns:
\n\n
\n

The generator object.

\n
\n", "signature": "(self, prune=None):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest": {"fullname": "sqlglot.expressions.Expression.unnest", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest", "kind": "function", "doc": "

Returns the first non parenthesis child or self.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unalias": {"fullname": "sqlglot.expressions.Expression.unalias", "modulename": "sqlglot.expressions", "qualname": "Expression.unalias", "kind": "function", "doc": "

Returns the inner expression if this is an Alias.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.unnest_operands": {"fullname": "sqlglot.expressions.Expression.unnest_operands", "modulename": "sqlglot.expressions", "qualname": "Expression.unnest_operands", "kind": "function", "doc": "

Returns unnested operands as a tuple.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.flatten": {"fullname": "sqlglot.expressions.Expression.flatten", "modulename": "sqlglot.expressions", "qualname": "Expression.flatten", "kind": "function", "doc": "

Returns a generator which yields child nodes who's parents are the same class.

\n\n

A AND B AND C -> [A, B, C]

\n", "signature": "(self, unnest=True):", "funcdef": "def"}, "sqlglot.expressions.Expression.sql": {"fullname": "sqlglot.expressions.Expression.sql", "modulename": "sqlglot.expressions", "qualname": "Expression.sql", "kind": "function", "doc": "

Returns SQL string representation of this tree.

\n\n
Arguments:
\n\n
    \n
  • dialect: the dialect of the output SQL string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
    • \n
  • opts: other sqlglot.generator.Generator options.
    • \n
\n\n
Returns:
\n\n
\n

The SQL string.

\n
\n", "signature": "(\tself,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> str:", "funcdef": "def"}, "sqlglot.expressions.Expression.transform": {"fullname": "sqlglot.expressions.Expression.transform", "modulename": "sqlglot.expressions", "qualname": "Expression.transform", "kind": "function", "doc": "

Recursively visits all tree nodes (excluding already transformed ones)\nand applies the given transformation function to each node.

\n\n
Arguments:
\n\n
    \n
  • fun (function): a function which takes a node as an argument and returns a\nnew transformed node or the same node without modifications. If the function\nreturns None, then the corresponding node will be removed from the syntax tree.
    • \n
  • copy (bool): if set to True a new tree instance is constructed, otherwise the tree is\nmodified in place.
    • \n
\n\n
Returns:
\n\n
\n

The transformed tree.

\n
\n", "signature": "(self, fun, *args, copy=True, **kwargs):", "funcdef": "def"}, "sqlglot.expressions.Expression.replace": {"fullname": "sqlglot.expressions.Expression.replace", "modulename": "sqlglot.expressions", "qualname": "Expression.replace", "kind": "function", "doc": "

Swap out this expression with a new expression.

\n\n

For example::

\n\n
>>> tree = Select().select(\"x\").from_(\"tbl\")\n>>> tree.find(Column).replace(Column(this=\"y\"))\n(COLUMN this: y)\n>>> tree.sql()\n'SELECT y FROM tbl'\n
\n\n
Arguments:
\n\n
    \n
  • expression: new node
    • \n
\n\n
Returns:
\n\n
\n

The new expression or expressions.

\n
\n", "signature": "(self, expression):", "funcdef": "def"}, "sqlglot.expressions.Expression.pop": {"fullname": "sqlglot.expressions.Expression.pop", "modulename": "sqlglot.expressions", "qualname": "Expression.pop", "kind": "function", "doc": "

Remove this expression from its AST.

\n\n
Returns:
\n\n
\n

The popped expression.

\n
\n", "signature": "(self: ~E) -> ~E:", "funcdef": "def"}, "sqlglot.expressions.Expression.assert_is": {"fullname": "sqlglot.expressions.Expression.assert_is", "modulename": "sqlglot.expressions", "qualname": "Expression.assert_is", "kind": "function", "doc": "

Assert that this Expression is an instance of type_.

\n\n

If it is NOT an instance of type_, this raises an assertion error.\nOtherwise, this returns this expression.

\n\n
Examples:
\n\n
\n

This is useful for type security in chained expressions:

\n \n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT x from y").assert_is(Select).select("z").sql()\n'SELECT x, z FROM y'\n
\n
\n
\n", "signature": "(self, type_: Type[~E]) -> ~E:", "funcdef": "def"}, "sqlglot.expressions.Expression.error_messages": {"fullname": "sqlglot.expressions.Expression.error_messages", "modulename": "sqlglot.expressions", "qualname": "Expression.error_messages", "kind": "function", "doc": "

Checks if this expression is valid (e.g. all mandatory args are set).

\n\n
Arguments:
\n\n
    \n
  • args: a sequence of values that were used to instantiate a Func expression. This is used\nto check that the provided arguments don't exceed the function argument limit.
    • \n
\n\n
Returns:
\n\n
\n

A list of error messages for all possible errors that were found.

\n
\n", "signature": "(self, args: Optional[Sequence] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.expressions.Expression.dump": {"fullname": "sqlglot.expressions.Expression.dump", "modulename": "sqlglot.expressions", "qualname": "Expression.dump", "kind": "function", "doc": "

Dump this Expression to a JSON-serializable dict.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Expression.load": {"fullname": "sqlglot.expressions.Expression.load", "modulename": "sqlglot.expressions", "qualname": "Expression.load", "kind": "function", "doc": "

Load a dict (as returned by Expression.dump) into an Expression instance.

\n", "signature": "(cls, obj):", "funcdef": "def"}, "sqlglot.expressions.Condition": {"fullname": "sqlglot.expressions.Condition", "modulename": "sqlglot.expressions", "qualname": "Condition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Condition.and_": {"fullname": "sqlglot.expressions.Condition.and_", "modulename": "sqlglot.expressions", "qualname": "Condition.and_", "kind": "function", "doc": "

AND this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").and_("y=1").sql()\n'x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy the involved expressions (only applies to Expressions).
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new And condition.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.Condition.or_": {"fullname": "sqlglot.expressions.Condition.or_", "modulename": "sqlglot.expressions", "qualname": "Condition.or_", "kind": "function", "doc": "

OR this condition with one or multiple expressions.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").or_("y=1").sql()\n'x = 1 OR y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy the involved expressions (only applies to Expressions).
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Or condition.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.Condition.not_": {"fullname": "sqlglot.expressions.Condition.not_", "modulename": "sqlglot.expressions", "qualname": "Condition.not_", "kind": "function", "doc": "

Wrap this condition with NOT.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").not_().sql()\n'NOT x = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • copy: whether or not to copy this object.
    • \n
\n\n
Returns:
\n\n
\n

The new Not instance.

\n
\n", "signature": "(self, copy: bool = True):", "funcdef": "def"}, "sqlglot.expressions.Condition.as_": {"fullname": "sqlglot.expressions.Condition.as_", "modulename": "sqlglot.expressions", "qualname": "Condition.as_", "kind": "function", "doc": "

\n", "signature": "(\tself,\talias: str | sqlglot.expressions.Identifier,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Alias:", "funcdef": "def"}, "sqlglot.expressions.Condition.isin": {"fullname": "sqlglot.expressions.Condition.isin", "modulename": "sqlglot.expressions", "qualname": "Condition.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Any,\tquery: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.In:", "funcdef": "def"}, "sqlglot.expressions.Condition.between": {"fullname": "sqlglot.expressions.Condition.between", "modulename": "sqlglot.expressions", "qualname": "Condition.between", "kind": "function", "doc": "

\n", "signature": "(\tself,\tlow: Any,\thigh: Any,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Between:", "funcdef": "def"}, "sqlglot.expressions.Condition.is_": {"fullname": "sqlglot.expressions.Condition.is_", "modulename": "sqlglot.expressions", "qualname": "Condition.is_", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.Is:", "funcdef": "def"}, "sqlglot.expressions.Condition.like": {"fullname": "sqlglot.expressions.Condition.like", "modulename": "sqlglot.expressions", "qualname": "Condition.like", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.Like:", "funcdef": "def"}, "sqlglot.expressions.Condition.ilike": {"fullname": "sqlglot.expressions.Condition.ilike", "modulename": "sqlglot.expressions", "qualname": "Condition.ilike", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.ILike:", "funcdef": "def"}, "sqlglot.expressions.Condition.eq": {"fullname": "sqlglot.expressions.Condition.eq", "modulename": "sqlglot.expressions", "qualname": "Condition.eq", "kind": "function", "doc": "

\n", "signature": "(self, other: Any) -> sqlglot.expressions.EQ:", "funcdef": "def"}, "sqlglot.expressions.Condition.neq": {"fullname": "sqlglot.expressions.Condition.neq", "modulename": "sqlglot.expressions", "qualname": "Condition.neq", "kind": "function", "doc": "

\n", "signature": "(self, other: Any) -> sqlglot.expressions.NEQ:", "funcdef": "def"}, "sqlglot.expressions.Condition.rlike": {"fullname": "sqlglot.expressions.Condition.rlike", "modulename": "sqlglot.expressions", "qualname": "Condition.rlike", "kind": "function", "doc": "

\n", "signature": "(\tself,\tother: Union[str, sqlglot.expressions.Expression]) -> sqlglot.expressions.RegexpLike:", "funcdef": "def"}, "sqlglot.expressions.Predicate": {"fullname": "sqlglot.expressions.Predicate", "modulename": "sqlglot.expressions", "qualname": "Predicate", "kind": "class", "doc": "

Relationships like x = y, x > 1, x >= y.

\n", "bases": "Condition"}, "sqlglot.expressions.DerivedTable": {"fullname": "sqlglot.expressions.DerivedTable", "modulename": "sqlglot.expressions", "qualname": "DerivedTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unionable": {"fullname": "sqlglot.expressions.Unionable", "modulename": "sqlglot.expressions", "qualname": "Unionable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Unionable.union": {"fullname": "sqlglot.expressions.Unionable.union", "modulename": "sqlglot.expressions", "qualname": "Unionable.union", "kind": "function", "doc": "

Builds a UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").union("SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Union expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Unionable:", "funcdef": "def"}, "sqlglot.expressions.Unionable.intersect": {"fullname": "sqlglot.expressions.Unionable.intersect", "modulename": "sqlglot.expressions", "qualname": "Unionable.intersect", "kind": "function", "doc": "

Builds an INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").intersect("SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Intersect expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Unionable:", "funcdef": "def"}, "sqlglot.expressions.Unionable.except_": {"fullname": "sqlglot.expressions.Unionable.except_", "modulename": "sqlglot.expressions", "qualname": "Unionable.except_", "kind": "function", "doc": "

Builds an EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT * FROM foo").except_("SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Except expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Unionable:", "funcdef": "def"}, "sqlglot.expressions.UDTF": {"fullname": "sqlglot.expressions.UDTF", "modulename": "sqlglot.expressions", "qualname": "UDTF", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Cache": {"fullname": "sqlglot.expressions.Cache", "modulename": "sqlglot.expressions", "qualname": "Cache", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Uncache": {"fullname": "sqlglot.expressions.Uncache", "modulename": "sqlglot.expressions", "qualname": "Uncache", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Create": {"fullname": "sqlglot.expressions.Create", "modulename": "sqlglot.expressions", "qualname": "Create", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Clone": {"fullname": "sqlglot.expressions.Clone", "modulename": "sqlglot.expressions", "qualname": "Clone", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Describe": {"fullname": "sqlglot.expressions.Describe", "modulename": "sqlglot.expressions", "qualname": "Describe", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Pragma": {"fullname": "sqlglot.expressions.Pragma", "modulename": "sqlglot.expressions", "qualname": "Pragma", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Set": {"fullname": "sqlglot.expressions.Set", "modulename": "sqlglot.expressions", "qualname": "Set", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SetItem": {"fullname": "sqlglot.expressions.SetItem", "modulename": "sqlglot.expressions", "qualname": "SetItem", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Show": {"fullname": "sqlglot.expressions.Show", "modulename": "sqlglot.expressions", "qualname": "Show", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.UserDefinedFunction": {"fullname": "sqlglot.expressions.UserDefinedFunction", "modulename": "sqlglot.expressions", "qualname": "UserDefinedFunction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.CharacterSet": {"fullname": "sqlglot.expressions.CharacterSet", "modulename": "sqlglot.expressions", "qualname": "CharacterSet", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.With": {"fullname": "sqlglot.expressions.With", "modulename": "sqlglot.expressions", "qualname": "With", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WithinGroup": {"fullname": "sqlglot.expressions.WithinGroup", "modulename": "sqlglot.expressions", "qualname": "WithinGroup", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.CTE": {"fullname": "sqlglot.expressions.CTE", "modulename": "sqlglot.expressions", "qualname": "CTE", "kind": "class", "doc": "

\n", "bases": "DerivedTable"}, "sqlglot.expressions.TableAlias": {"fullname": "sqlglot.expressions.TableAlias", "modulename": "sqlglot.expressions", "qualname": "TableAlias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.BitString": {"fullname": "sqlglot.expressions.BitString", "modulename": "sqlglot.expressions", "qualname": "BitString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.HexString": {"fullname": "sqlglot.expressions.HexString", "modulename": "sqlglot.expressions", "qualname": "HexString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.ByteString": {"fullname": "sqlglot.expressions.ByteString", "modulename": "sqlglot.expressions", "qualname": "ByteString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.RawString": {"fullname": "sqlglot.expressions.RawString", "modulename": "sqlglot.expressions", "qualname": "RawString", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Column": {"fullname": "sqlglot.expressions.Column", "modulename": "sqlglot.expressions", "qualname": "Column", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Column.output_name": {"fullname": "sqlglot.expressions.Column.output_name", "modulename": "sqlglot.expressions", "qualname": "Column.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Column.parts": {"fullname": "sqlglot.expressions.Column.parts", "modulename": "sqlglot.expressions", "qualname": "Column.parts", "kind": "variable", "doc": "

Return the parts of a column in order catalog, db, table, name.

\n", "annotation": ": List[sqlglot.expressions.Identifier]"}, "sqlglot.expressions.Column.to_dot": {"fullname": "sqlglot.expressions.Column.to_dot", "modulename": "sqlglot.expressions", "qualname": "Column.to_dot", "kind": "function", "doc": "

Converts the column into a dot expression.

\n", "signature": "(self) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.ColumnPosition": {"fullname": "sqlglot.expressions.ColumnPosition", "modulename": "sqlglot.expressions", "qualname": "ColumnPosition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnDef": {"fullname": "sqlglot.expressions.ColumnDef", "modulename": "sqlglot.expressions", "qualname": "ColumnDef", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterColumn": {"fullname": "sqlglot.expressions.AlterColumn", "modulename": "sqlglot.expressions", "qualname": "AlterColumn", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RenameTable": {"fullname": "sqlglot.expressions.RenameTable", "modulename": "sqlglot.expressions", "qualname": "RenameTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SetTag": {"fullname": "sqlglot.expressions.SetTag", "modulename": "sqlglot.expressions", "qualname": "SetTag", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Comment": {"fullname": "sqlglot.expressions.Comment", "modulename": "sqlglot.expressions", "qualname": "Comment", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.MergeTreeTTLAction": {"fullname": "sqlglot.expressions.MergeTreeTTLAction", "modulename": "sqlglot.expressions", "qualname": "MergeTreeTTLAction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.MergeTreeTTL": {"fullname": "sqlglot.expressions.MergeTreeTTL", "modulename": "sqlglot.expressions", "qualname": "MergeTreeTTL", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraint": {"fullname": "sqlglot.expressions.ColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ColumnConstraintKind": {"fullname": "sqlglot.expressions.ColumnConstraintKind", "modulename": "sqlglot.expressions", "qualname": "ColumnConstraintKind", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AutoIncrementColumnConstraint": {"fullname": "sqlglot.expressions.AutoIncrementColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CaseSpecificColumnConstraint": {"fullname": "sqlglot.expressions.CaseSpecificColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CaseSpecificColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CharacterSetColumnConstraint": {"fullname": "sqlglot.expressions.CharacterSetColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CharacterSetColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CheckColumnConstraint": {"fullname": "sqlglot.expressions.CheckColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CheckColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CollateColumnConstraint": {"fullname": "sqlglot.expressions.CollateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CollateColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CommentColumnConstraint": {"fullname": "sqlglot.expressions.CommentColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CommentColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.CompressColumnConstraint": {"fullname": "sqlglot.expressions.CompressColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "CompressColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DateFormatColumnConstraint": {"fullname": "sqlglot.expressions.DateFormatColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DateFormatColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.DefaultColumnConstraint": {"fullname": "sqlglot.expressions.DefaultColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "DefaultColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.EncodeColumnConstraint": {"fullname": "sqlglot.expressions.EncodeColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "EncodeColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.GeneratedAsIdentityColumnConstraint": {"fullname": "sqlglot.expressions.GeneratedAsIdentityColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "GeneratedAsIdentityColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.InlineLengthColumnConstraint": {"fullname": "sqlglot.expressions.InlineLengthColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "InlineLengthColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.NotNullColumnConstraint": {"fullname": "sqlglot.expressions.NotNullColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "NotNullColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.OnUpdateColumnConstraint": {"fullname": "sqlglot.expressions.OnUpdateColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "OnUpdateColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PrimaryKeyColumnConstraint": {"fullname": "sqlglot.expressions.PrimaryKeyColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PrimaryKeyColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.TitleColumnConstraint": {"fullname": "sqlglot.expressions.TitleColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "TitleColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UniqueColumnConstraint": {"fullname": "sqlglot.expressions.UniqueColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UniqueColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.UppercaseColumnConstraint": {"fullname": "sqlglot.expressions.UppercaseColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "UppercaseColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.PathColumnConstraint": {"fullname": "sqlglot.expressions.PathColumnConstraint", "modulename": "sqlglot.expressions", "qualname": "PathColumnConstraint", "kind": "class", "doc": "

\n", "bases": "ColumnConstraintKind"}, "sqlglot.expressions.Constraint": {"fullname": "sqlglot.expressions.Constraint", "modulename": "sqlglot.expressions", "qualname": "Constraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Delete": {"fullname": "sqlglot.expressions.Delete", "modulename": "sqlglot.expressions", "qualname": "Delete", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Delete.delete": {"fullname": "sqlglot.expressions.Delete.delete", "modulename": "sqlglot.expressions", "qualname": "Delete.delete", "kind": "function", "doc": "

Create a DELETE expression or replace the table on an existing DELETE expression.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").sql()\n'DELETE FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • table: the table from which to delete.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

\n
\n", "signature": "(\tself,\ttable: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Delete.where": {"fullname": "sqlglot.expressions.Delete.where", "modulename": "sqlglot.expressions", "qualname": "Delete.where", "kind": "function", "doc": "

Append to or set the WHERE expressions.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").where("x = 'a' OR x < 'b'").sql()\n"DELETE FROM tbl WHERE x = 'a' OR x < 'b'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Delete.returning": {"fullname": "sqlglot.expressions.Delete.returning", "modulename": "sqlglot.expressions", "qualname": "Delete.returning", "kind": "function", "doc": "

Set the RETURNING expression. Not supported by all dialects.

\n\n
Example:
\n\n
\n
\n
>>> delete("tbl").returning("*", dialect="postgres").sql()\n'DELETE FROM tbl RETURNING *'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the modified expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.Drop": {"fullname": "sqlglot.expressions.Drop", "modulename": "sqlglot.expressions", "qualname": "Drop", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Filter": {"fullname": "sqlglot.expressions.Filter", "modulename": "sqlglot.expressions", "qualname": "Filter", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Check": {"fullname": "sqlglot.expressions.Check", "modulename": "sqlglot.expressions", "qualname": "Check", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Directory": {"fullname": "sqlglot.expressions.Directory", "modulename": "sqlglot.expressions", "qualname": "Directory", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.ForeignKey": {"fullname": "sqlglot.expressions.ForeignKey", "modulename": "sqlglot.expressions", "qualname": "ForeignKey", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.PrimaryKey": {"fullname": "sqlglot.expressions.PrimaryKey", "modulename": "sqlglot.expressions", "qualname": "PrimaryKey", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Into": {"fullname": "sqlglot.expressions.Into", "modulename": "sqlglot.expressions", "qualname": "Into", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.From": {"fullname": "sqlglot.expressions.From", "modulename": "sqlglot.expressions", "qualname": "From", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Having": {"fullname": "sqlglot.expressions.Having", "modulename": "sqlglot.expressions", "qualname": "Having", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Hint": {"fullname": "sqlglot.expressions.Hint", "modulename": "sqlglot.expressions", "qualname": "Hint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.JoinHint": {"fullname": "sqlglot.expressions.JoinHint", "modulename": "sqlglot.expressions", "qualname": "JoinHint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Identifier": {"fullname": "sqlglot.expressions.Identifier", "modulename": "sqlglot.expressions", "qualname": "Identifier", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Identifier.output_name": {"fullname": "sqlglot.expressions.Identifier.output_name", "modulename": "sqlglot.expressions", "qualname": "Identifier.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Index": {"fullname": "sqlglot.expressions.Index", "modulename": "sqlglot.expressions", "qualname": "Index", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Insert": {"fullname": "sqlglot.expressions.Insert", "modulename": "sqlglot.expressions", "qualname": "Insert", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Insert.with_": {"fullname": "sqlglot.expressions.Insert.with_", "modulename": "sqlglot.expressions", "qualname": "Insert.with_", "kind": "function", "doc": "

Append to or set the common table expressions.

\n\n
Example:
\n\n
\n
\n
>>> insert("SELECT x FROM cte", "t").with_("cte", as_="SELECT * FROM tbl").sql()\n'WITH cte AS (SELECT * FROM tbl) INSERT INTO t SELECT x FROM cte'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias: the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • as_: the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • recursive: set the RECURSIVE part of the expression. Defaults to False.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression],\tas_: Union[str, sqlglot.expressions.Expression],\trecursive: Optional[bool] = None,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Insert:", "funcdef": "def"}, "sqlglot.expressions.OnConflict": {"fullname": "sqlglot.expressions.OnConflict", "modulename": "sqlglot.expressions", "qualname": "OnConflict", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Returning": {"fullname": "sqlglot.expressions.Returning", "modulename": "sqlglot.expressions", "qualname": "Returning", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Introducer": {"fullname": "sqlglot.expressions.Introducer", "modulename": "sqlglot.expressions", "qualname": "Introducer", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.National": {"fullname": "sqlglot.expressions.National", "modulename": "sqlglot.expressions", "qualname": "National", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.LoadData": {"fullname": "sqlglot.expressions.LoadData", "modulename": "sqlglot.expressions", "qualname": "LoadData", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Partition": {"fullname": "sqlglot.expressions.Partition", "modulename": "sqlglot.expressions", "qualname": "Partition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Fetch": {"fullname": "sqlglot.expressions.Fetch", "modulename": "sqlglot.expressions", "qualname": "Fetch", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Group": {"fullname": "sqlglot.expressions.Group", "modulename": "sqlglot.expressions", "qualname": "Group", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Lambda": {"fullname": "sqlglot.expressions.Lambda", "modulename": "sqlglot.expressions", "qualname": "Lambda", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Limit": {"fullname": "sqlglot.expressions.Limit", "modulename": "sqlglot.expressions", "qualname": "Limit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Literal": {"fullname": "sqlglot.expressions.Literal", "modulename": "sqlglot.expressions", "qualname": "Literal", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Literal.number": {"fullname": "sqlglot.expressions.Literal.number", "modulename": "sqlglot.expressions", "qualname": "Literal.number", "kind": "function", "doc": "

\n", "signature": "(cls, number) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.string": {"fullname": "sqlglot.expressions.Literal.string", "modulename": "sqlglot.expressions", "qualname": "Literal.string", "kind": "function", "doc": "

\n", "signature": "(cls, string) -> sqlglot.expressions.Literal:", "funcdef": "def"}, "sqlglot.expressions.Literal.output_name": {"fullname": "sqlglot.expressions.Literal.output_name", "modulename": "sqlglot.expressions", "qualname": "Literal.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Join": {"fullname": "sqlglot.expressions.Join", "modulename": "sqlglot.expressions", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Join.on": {"fullname": "sqlglot.expressions.Join.on", "modulename": "sqlglot.expressions", "qualname": "Join.on", "kind": "function", "doc": "

Append to or set the ON expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()\n'JOIN x ON y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Join expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Join:", "funcdef": "def"}, "sqlglot.expressions.Join.using": {"fullname": "sqlglot.expressions.Join.using", "modulename": "sqlglot.expressions", "qualname": "Join.using", "kind": "function", "doc": "

Append to or set the USING expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()\n'JOIN x USING (foo, bla)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, concatenate the new expressions to the existing \"using\" list.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Join expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Join:", "funcdef": "def"}, "sqlglot.expressions.Lateral": {"fullname": "sqlglot.expressions.Lateral", "modulename": "sqlglot.expressions", "qualname": "Lateral", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.MatchRecognize": {"fullname": "sqlglot.expressions.MatchRecognize", "modulename": "sqlglot.expressions", "qualname": "MatchRecognize", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Final": {"fullname": "sqlglot.expressions.Final", "modulename": "sqlglot.expressions", "qualname": "Final", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Offset": {"fullname": "sqlglot.expressions.Offset", "modulename": "sqlglot.expressions", "qualname": "Offset", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Order": {"fullname": "sqlglot.expressions.Order", "modulename": "sqlglot.expressions", "qualname": "Order", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Cluster": {"fullname": "sqlglot.expressions.Cluster", "modulename": "sqlglot.expressions", "qualname": "Cluster", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Distribute": {"fullname": "sqlglot.expressions.Distribute", "modulename": "sqlglot.expressions", "qualname": "Distribute", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Sort": {"fullname": "sqlglot.expressions.Sort", "modulename": "sqlglot.expressions", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Order"}, "sqlglot.expressions.Ordered": {"fullname": "sqlglot.expressions.Ordered", "modulename": "sqlglot.expressions", "qualname": "Ordered", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Property": {"fullname": "sqlglot.expressions.Property", "modulename": "sqlglot.expressions", "qualname": "Property", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlgorithmProperty": {"fullname": "sqlglot.expressions.AlgorithmProperty", "modulename": "sqlglot.expressions", "qualname": "AlgorithmProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.AutoIncrementProperty": {"fullname": "sqlglot.expressions.AutoIncrementProperty", "modulename": "sqlglot.expressions", "qualname": "AutoIncrementProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.BlockCompressionProperty": {"fullname": "sqlglot.expressions.BlockCompressionProperty", "modulename": "sqlglot.expressions", "qualname": "BlockCompressionProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CharacterSetProperty": {"fullname": "sqlglot.expressions.CharacterSetProperty", "modulename": "sqlglot.expressions", "qualname": "CharacterSetProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ChecksumProperty": {"fullname": "sqlglot.expressions.ChecksumProperty", "modulename": "sqlglot.expressions", "qualname": "ChecksumProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CollateProperty": {"fullname": "sqlglot.expressions.CollateProperty", "modulename": "sqlglot.expressions", "qualname": "CollateProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.CopyGrantsProperty": {"fullname": "sqlglot.expressions.CopyGrantsProperty", "modulename": "sqlglot.expressions", "qualname": "CopyGrantsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DataBlocksizeProperty": {"fullname": "sqlglot.expressions.DataBlocksizeProperty", "modulename": "sqlglot.expressions", "qualname": "DataBlocksizeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DefinerProperty": {"fullname": "sqlglot.expressions.DefinerProperty", "modulename": "sqlglot.expressions", "qualname": "DefinerProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DistKeyProperty": {"fullname": "sqlglot.expressions.DistKeyProperty", "modulename": "sqlglot.expressions", "qualname": "DistKeyProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DistStyleProperty": {"fullname": "sqlglot.expressions.DistStyleProperty", "modulename": "sqlglot.expressions", "qualname": "DistStyleProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.EngineProperty": {"fullname": "sqlglot.expressions.EngineProperty", "modulename": "sqlglot.expressions", "qualname": "EngineProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ToTableProperty": {"fullname": "sqlglot.expressions.ToTableProperty", "modulename": "sqlglot.expressions", "qualname": "ToTableProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ExecuteAsProperty": {"fullname": "sqlglot.expressions.ExecuteAsProperty", "modulename": "sqlglot.expressions", "qualname": "ExecuteAsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ExternalProperty": {"fullname": "sqlglot.expressions.ExternalProperty", "modulename": "sqlglot.expressions", "qualname": "ExternalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FallbackProperty": {"fullname": "sqlglot.expressions.FallbackProperty", "modulename": "sqlglot.expressions", "qualname": "FallbackProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FileFormatProperty": {"fullname": "sqlglot.expressions.FileFormatProperty", "modulename": "sqlglot.expressions", "qualname": "FileFormatProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.FreespaceProperty": {"fullname": "sqlglot.expressions.FreespaceProperty", "modulename": "sqlglot.expressions", "qualname": "FreespaceProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.InputOutputFormat": {"fullname": "sqlglot.expressions.InputOutputFormat", "modulename": "sqlglot.expressions", "qualname": "InputOutputFormat", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.IsolatedLoadingProperty": {"fullname": "sqlglot.expressions.IsolatedLoadingProperty", "modulename": "sqlglot.expressions", "qualname": "IsolatedLoadingProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.JournalProperty": {"fullname": "sqlglot.expressions.JournalProperty", "modulename": "sqlglot.expressions", "qualname": "JournalProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LanguageProperty": {"fullname": "sqlglot.expressions.LanguageProperty", "modulename": "sqlglot.expressions", "qualname": "LanguageProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DictProperty": {"fullname": "sqlglot.expressions.DictProperty", "modulename": "sqlglot.expressions", "qualname": "DictProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DictSubProperty": {"fullname": "sqlglot.expressions.DictSubProperty", "modulename": "sqlglot.expressions", "qualname": "DictSubProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.DictRange": {"fullname": "sqlglot.expressions.DictRange", "modulename": "sqlglot.expressions", "qualname": "DictRange", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.OnCluster": {"fullname": "sqlglot.expressions.OnCluster", "modulename": "sqlglot.expressions", "qualname": "OnCluster", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LikeProperty": {"fullname": "sqlglot.expressions.LikeProperty", "modulename": "sqlglot.expressions", "qualname": "LikeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LocationProperty": {"fullname": "sqlglot.expressions.LocationProperty", "modulename": "sqlglot.expressions", "qualname": "LocationProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LockingProperty": {"fullname": "sqlglot.expressions.LockingProperty", "modulename": "sqlglot.expressions", "qualname": "LockingProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.LogProperty": {"fullname": "sqlglot.expressions.LogProperty", "modulename": "sqlglot.expressions", "qualname": "LogProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.MaterializedProperty": {"fullname": "sqlglot.expressions.MaterializedProperty", "modulename": "sqlglot.expressions", "qualname": "MaterializedProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.MergeBlockRatioProperty": {"fullname": "sqlglot.expressions.MergeBlockRatioProperty", "modulename": "sqlglot.expressions", "qualname": "MergeBlockRatioProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.NoPrimaryIndexProperty": {"fullname": "sqlglot.expressions.NoPrimaryIndexProperty", "modulename": "sqlglot.expressions", "qualname": "NoPrimaryIndexProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.OnCommitProperty": {"fullname": "sqlglot.expressions.OnCommitProperty", "modulename": "sqlglot.expressions", "qualname": "OnCommitProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.PartitionedByProperty": {"fullname": "sqlglot.expressions.PartitionedByProperty", "modulename": "sqlglot.expressions", "qualname": "PartitionedByProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.ReturnsProperty": {"fullname": "sqlglot.expressions.ReturnsProperty", "modulename": "sqlglot.expressions", "qualname": "ReturnsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatProperty": {"fullname": "sqlglot.expressions.RowFormatProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatDelimitedProperty": {"fullname": "sqlglot.expressions.RowFormatDelimitedProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatDelimitedProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.RowFormatSerdeProperty": {"fullname": "sqlglot.expressions.RowFormatSerdeProperty", "modulename": "sqlglot.expressions", "qualname": "RowFormatSerdeProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SchemaCommentProperty": {"fullname": "sqlglot.expressions.SchemaCommentProperty", "modulename": "sqlglot.expressions", "qualname": "SchemaCommentProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SerdeProperties": {"fullname": "sqlglot.expressions.SerdeProperties", "modulename": "sqlglot.expressions", "qualname": "SerdeProperties", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SetProperty": {"fullname": "sqlglot.expressions.SetProperty", "modulename": "sqlglot.expressions", "qualname": "SetProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SettingsProperty": {"fullname": "sqlglot.expressions.SettingsProperty", "modulename": "sqlglot.expressions", "qualname": "SettingsProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SortKeyProperty": {"fullname": "sqlglot.expressions.SortKeyProperty", "modulename": "sqlglot.expressions", "qualname": "SortKeyProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.SqlSecurityProperty": {"fullname": "sqlglot.expressions.SqlSecurityProperty", "modulename": "sqlglot.expressions", "qualname": "SqlSecurityProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.StabilityProperty": {"fullname": "sqlglot.expressions.StabilityProperty", "modulename": "sqlglot.expressions", "qualname": "StabilityProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TemporaryProperty": {"fullname": "sqlglot.expressions.TemporaryProperty", "modulename": "sqlglot.expressions", "qualname": "TemporaryProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.TransientProperty": {"fullname": "sqlglot.expressions.TransientProperty", "modulename": "sqlglot.expressions", "qualname": "TransientProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.VolatileProperty": {"fullname": "sqlglot.expressions.VolatileProperty", "modulename": "sqlglot.expressions", "qualname": "VolatileProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.WithDataProperty": {"fullname": "sqlglot.expressions.WithDataProperty", "modulename": "sqlglot.expressions", "qualname": "WithDataProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.WithJournalTableProperty": {"fullname": "sqlglot.expressions.WithJournalTableProperty", "modulename": "sqlglot.expressions", "qualname": "WithJournalTableProperty", "kind": "class", "doc": "

\n", "bases": "Property"}, "sqlglot.expressions.Properties": {"fullname": "sqlglot.expressions.Properties", "modulename": "sqlglot.expressions", "qualname": "Properties", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Properties.Location": {"fullname": "sqlglot.expressions.Properties.Location", "modulename": "sqlglot.expressions", "qualname": "Properties.Location", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.Properties.Location.POST_CREATE": {"fullname": "sqlglot.expressions.Properties.Location.POST_CREATE", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_CREATE", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_CREATE: 'POST_CREATE'>"}, "sqlglot.expressions.Properties.Location.POST_NAME": {"fullname": "sqlglot.expressions.Properties.Location.POST_NAME", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_NAME", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_NAME: 'POST_NAME'>"}, "sqlglot.expressions.Properties.Location.POST_SCHEMA": {"fullname": "sqlglot.expressions.Properties.Location.POST_SCHEMA", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_SCHEMA: 'POST_SCHEMA'>"}, "sqlglot.expressions.Properties.Location.POST_WITH": {"fullname": "sqlglot.expressions.Properties.Location.POST_WITH", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_WITH", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_WITH: 'POST_WITH'>"}, "sqlglot.expressions.Properties.Location.POST_ALIAS": {"fullname": "sqlglot.expressions.Properties.Location.POST_ALIAS", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_ALIAS", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_ALIAS: 'POST_ALIAS'>"}, "sqlglot.expressions.Properties.Location.POST_EXPRESSION": {"fullname": "sqlglot.expressions.Properties.Location.POST_EXPRESSION", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_EXPRESSION", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_EXPRESSION: 'POST_EXPRESSION'>"}, "sqlglot.expressions.Properties.Location.POST_INDEX": {"fullname": "sqlglot.expressions.Properties.Location.POST_INDEX", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.POST_INDEX", "kind": "variable", "doc": "

\n", "default_value": "<Location.POST_INDEX: 'POST_INDEX'>"}, "sqlglot.expressions.Properties.Location.UNSUPPORTED": {"fullname": "sqlglot.expressions.Properties.Location.UNSUPPORTED", "modulename": "sqlglot.expressions", "qualname": "Properties.Location.UNSUPPORTED", "kind": "variable", "doc": "

\n", "default_value": "<Location.UNSUPPORTED: 'UNSUPPORTED'>"}, "sqlglot.expressions.Properties.from_dict": {"fullname": "sqlglot.expressions.Properties.from_dict", "modulename": "sqlglot.expressions", "qualname": "Properties.from_dict", "kind": "function", "doc": "

\n", "signature": "(cls, properties_dict: Dict) -> sqlglot.expressions.Properties:", "funcdef": "def"}, "sqlglot.expressions.Qualify": {"fullname": "sqlglot.expressions.Qualify", "modulename": "sqlglot.expressions", "qualname": "Qualify", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Return": {"fullname": "sqlglot.expressions.Return", "modulename": "sqlglot.expressions", "qualname": "Return", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Reference": {"fullname": "sqlglot.expressions.Reference", "modulename": "sqlglot.expressions", "qualname": "Reference", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tuple": {"fullname": "sqlglot.expressions.Tuple", "modulename": "sqlglot.expressions", "qualname": "Tuple", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tuple.isin": {"fullname": "sqlglot.expressions.Tuple.isin", "modulename": "sqlglot.expressions", "qualname": "Tuple.isin", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Any,\tquery: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.In:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable": {"fullname": "sqlglot.expressions.Subqueryable", "modulename": "sqlglot.expressions", "qualname": "Subqueryable", "kind": "class", "doc": "

\n", "bases": "Unionable"}, "sqlglot.expressions.Subqueryable.subquery": {"fullname": "sqlglot.expressions.Subqueryable.subquery", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.subquery", "kind": "function", "doc": "

Convert this expression to an aliased expression that can be used as a Subquery.

\n\n
Example:
\n\n
\n
\n
>>> subquery = Select().select("x").from_("tbl").subquery()\n>>> Select().select("x").from_(subquery).sql()\n'SELECT x FROM (SELECT x FROM tbl)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias (str | Identifier): an optional alias for the subquery
    • \n
  • copy (bool): if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

Alias: the subquery

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tcopy: bool = True) -> sqlglot.expressions.Subquery:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.limit": {"fullname": "sqlglot.expressions.Subqueryable.limit", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.limit", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, int],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Subqueryable.with_": {"fullname": "sqlglot.expressions.Subqueryable.with_", "modulename": "sqlglot.expressions", "qualname": "Subqueryable.with_", "kind": "function", "doc": "

Append to or set the common table expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()\n'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • alias: the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • as_: the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • recursive: set the RECURSIVE part of the expression. Defaults to False.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\talias: Union[str, sqlglot.expressions.Expression],\tas_: Union[str, sqlglot.expressions.Expression],\trecursive: Optional[bool] = None,\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Subqueryable:", "funcdef": "def"}, "sqlglot.expressions.Table": {"fullname": "sqlglot.expressions.Table", "modulename": "sqlglot.expressions", "qualname": "Table", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Table.parts": {"fullname": "sqlglot.expressions.Table.parts", "modulename": "sqlglot.expressions", "qualname": "Table.parts", "kind": "variable", "doc": "

Return the parts of a table in order catalog, db, table.

\n", "annotation": ": List[sqlglot.expressions.Identifier]"}, "sqlglot.expressions.SystemTime": {"fullname": "sqlglot.expressions.SystemTime", "modulename": "sqlglot.expressions", "qualname": "SystemTime", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Union": {"fullname": "sqlglot.expressions.Union", "modulename": "sqlglot.expressions", "qualname": "Union", "kind": "class", "doc": "

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Union.limit": {"fullname": "sqlglot.expressions.Union.limit", "modulename": "sqlglot.expressions", "qualname": "Union.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> select("1").union(select("1")).limit(1).sql()\n'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The limited subqueryable.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, int],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Union.select": {"fullname": "sqlglot.expressions.Union.select", "modulename": "sqlglot.expressions", "qualname": "Union.select", "kind": "function", "doc": "

Append to or set the SELECT of the union recursively.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("select a from x union select a from y union select a from z").select("b").sql()\n'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Union: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Union:", "funcdef": "def"}, "sqlglot.expressions.Union.is_star": {"fullname": "sqlglot.expressions.Union.is_star", "modulename": "sqlglot.expressions", "qualname": "Union.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Except": {"fullname": "sqlglot.expressions.Except", "modulename": "sqlglot.expressions", "qualname": "Except", "kind": "class", "doc": "

\n", "bases": "Union"}, "sqlglot.expressions.Intersect": {"fullname": "sqlglot.expressions.Intersect", "modulename": "sqlglot.expressions", "qualname": "Intersect", "kind": "class", "doc": "

\n", "bases": "Union"}, "sqlglot.expressions.Unnest": {"fullname": "sqlglot.expressions.Unnest", "modulename": "sqlglot.expressions", "qualname": "Unnest", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.Update": {"fullname": "sqlglot.expressions.Update", "modulename": "sqlglot.expressions", "qualname": "Update", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Values": {"fullname": "sqlglot.expressions.Values", "modulename": "sqlglot.expressions", "qualname": "Values", "kind": "class", "doc": "

\n", "bases": "UDTF"}, "sqlglot.expressions.Var": {"fullname": "sqlglot.expressions.Var", "modulename": "sqlglot.expressions", "qualname": "Var", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Schema": {"fullname": "sqlglot.expressions.Schema", "modulename": "sqlglot.expressions", "qualname": "Schema", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Lock": {"fullname": "sqlglot.expressions.Lock", "modulename": "sqlglot.expressions", "qualname": "Lock", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Select": {"fullname": "sqlglot.expressions.Select", "modulename": "sqlglot.expressions", "qualname": "Select", "kind": "class", "doc": "

\n", "bases": "Subqueryable"}, "sqlglot.expressions.Select.from_": {"fullname": "sqlglot.expressions.Select.from_", "modulename": "sqlglot.expressions", "qualname": "Select.from_", "kind": "function", "doc": "

Set the FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sql()\n'SELECT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression : the SQL code strings to parse.\nIf a From instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a From.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.group_by": {"fullname": "sqlglot.expressions.Select.group_by", "modulename": "sqlglot.expressions", "qualname": "Select.group_by", "kind": "function", "doc": "

Set the GROUP BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()\n'SELECT x, COUNT(1) FROM tbl GROUP BY x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Group.\nIf nothing is passed in then a group by is not applied to the expression
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Group expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.order_by": {"fullname": "sqlglot.expressions.Select.order_by", "modulename": "sqlglot.expressions", "qualname": "Select.order_by", "kind": "function", "doc": "

Set the ORDER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").order_by("x DESC").sql()\n'SELECT x FROM tbl ORDER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Order.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.sort_by": {"fullname": "sqlglot.expressions.Select.sort_by", "modulename": "sqlglot.expressions", "qualname": "Select.sort_by", "kind": "function", "doc": "

Set the SORT BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")\n'SELECT x FROM tbl SORT BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a SORT.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.cluster_by": {"fullname": "sqlglot.expressions.Select.cluster_by", "modulename": "sqlglot.expressions", "qualname": "Select.cluster_by", "kind": "function", "doc": "

Set the CLUSTER BY expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")\n'SELECT x FROM tbl CLUSTER BY x DESC'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf a Group instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Cluster.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.limit": {"fullname": "sqlglot.expressions.Select.limit", "modulename": "sqlglot.expressions", "qualname": "Select.limit", "kind": "function", "doc": "

Set the LIMIT expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").limit(10).sql()\n'SELECT x FROM tbl LIMIT 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nThis can also be an integer.\nIf a Limit instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Limit.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, int],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.offset": {"fullname": "sqlglot.expressions.Select.offset", "modulename": "sqlglot.expressions", "qualname": "Select.offset", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").offset(10).sql()\n'SELECT x FROM tbl OFFSET 10'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nThis can also be an integer.\nIf a Offset instance is passed, this is used as-is.\nIf another Expression instance is passed, it will be wrapped in a Offset.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, int],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.select": {"fullname": "sqlglot.expressions.Select.select", "modulename": "sqlglot.expressions", "qualname": "Select.select", "kind": "function", "doc": "

Append to or set the SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "y").sql()\n'SELECT x, y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.lateral": {"fullname": "sqlglot.expressions.Select.lateral", "modulename": "sqlglot.expressions", "qualname": "Select.lateral", "kind": "function", "doc": "

Append to or set the LATERAL expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()\n'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.join": {"fullname": "sqlglot.expressions.Select.join", "modulename": "sqlglot.expressions", "qualname": "Select.join", "kind": "function", "doc": "

Append to or set the JOIN expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()\n'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n \n
\n
>>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()\n'SELECT 1 FROM a JOIN b USING (x, y, z)'\n
\n
\n \n

Use join_type to change the type of join:

\n \n
\n
>>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()\n'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • on: optionally specify the join \"on\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • using: optionally specify the join \"using\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
    • \n
  • join_type: if set, alter the parsed join type.
    • \n
  • join_alias: an optional alias for the joined source.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression],\ton: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tusing: Union[str, sqlglot.expressions.Expression, List[Union[str, sqlglot.expressions.Expression]], NoneType] = None,\tappend: bool = True,\tjoin_type: Optional[str] = None,\tjoin_alias: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.where": {"fullname": "sqlglot.expressions.Select.where", "modulename": "sqlglot.expressions", "qualname": "Select.where", "kind": "function", "doc": "

Append to or set the WHERE expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()\n"SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.having": {"fullname": "sqlglot.expressions.Select.having", "modulename": "sqlglot.expressions", "qualname": "Select.having", "kind": "function", "doc": "

Append to or set the HAVING expressions.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()\n'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.\nMultiple expressions are combined with an AND operator.
    • \n
  • append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The modified Select expression.

\n
\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.window": {"fullname": "sqlglot.expressions.Select.window", "modulename": "sqlglot.expressions", "qualname": "Select.window", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.qualify": {"fullname": "sqlglot.expressions.Select.qualify", "modulename": "sqlglot.expressions", "qualname": "Select.qualify", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tappend: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.distinct": {"fullname": "sqlglot.expressions.Select.distinct", "modulename": "sqlglot.expressions", "qualname": "Select.distinct", "kind": "function", "doc": "

Set the OFFSET expression.

\n\n
Example:
\n\n
\n
\n
>>> Select().from_("tbl").select("x").distinct().sql()\n'SELECT DISTINCT x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • ons: the expressions to distinct on
    • \n
  • distinct: whether the Select should be distinct
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

Select: the modified expression.

\n
\n", "signature": "(\tself,\t*ons: Union[str, sqlglot.expressions.Expression, NoneType],\tdistinct: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.ctas": {"fullname": "sqlglot.expressions.Select.ctas", "modulename": "sqlglot.expressions", "qualname": "Select.ctas", "kind": "function", "doc": "

Convert this expression to a CREATE TABLE AS statement.

\n\n
Example:
\n\n
\n
\n
>>> Select().select("*").from_("tbl").ctas("x").sql()\n'CREATE TABLE x AS SELECT * FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • table: the SQL code string to parse as the table name.\nIf another Expression instance is passed, it will be used as-is.
    • \n
  • properties: an optional mapping of table properties
    • \n
  • dialect: the dialect used to parse the input table.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
  • opts: other options to use to parse the input table.
    • \n
\n\n
Returns:
\n\n
\n

The new Create expression.

\n
\n", "signature": "(\tself,\ttable: Union[str, sqlglot.expressions.Expression],\tproperties: Optional[Dict] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Create:", "funcdef": "def"}, "sqlglot.expressions.Select.lock": {"fullname": "sqlglot.expressions.Select.lock", "modulename": "sqlglot.expressions", "qualname": "Select.lock", "kind": "function", "doc": "

Set the locking read mode for this expression.

\n\n
Examples:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"\n
\n
\n \n
\n
>>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR SHARE"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • update: if True, the locking type will be FOR UPDATE, else it will be FOR SHARE.
    • \n
  • copy: if False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\tupdate: bool = True,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.hint": {"fullname": "sqlglot.expressions.Select.hint", "modulename": "sqlglot.expressions", "qualname": "Select.hint", "kind": "function", "doc": "

Set hints for this expression.

\n\n
Examples:
\n\n
\n
\n
>>> Select().select("x").from_("tbl").hint("BROADCAST(y)").sql(dialect="spark")\n'SELECT /*+ BROADCAST(y) */ x FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • hints: The SQL code strings to parse as the hints.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • dialect: The dialect used to parse the hints.
    • \n
  • copy: If False, modify this expression instance in-place.
    • \n
\n\n
Returns:
\n\n
\n

The modified expression.

\n
\n", "signature": "(\tself,\t*hints: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.Select.is_star": {"fullname": "sqlglot.expressions.Select.is_star", "modulename": "sqlglot.expressions", "qualname": "Select.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery": {"fullname": "sqlglot.expressions.Subquery", "modulename": "sqlglot.expressions", "qualname": "Subquery", "kind": "class", "doc": "

\n", "bases": "DerivedTable, Unionable"}, "sqlglot.expressions.Subquery.unnest": {"fullname": "sqlglot.expressions.Subquery.unnest", "modulename": "sqlglot.expressions", "qualname": "Subquery.unnest", "kind": "function", "doc": "

Returns the first non subquery.

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.expressions.Subquery.is_star": {"fullname": "sqlglot.expressions.Subquery.is_star", "modulename": "sqlglot.expressions", "qualname": "Subquery.is_star", "kind": "variable", "doc": "

Checks whether an expression is a star.

\n", "annotation": ": bool"}, "sqlglot.expressions.Subquery.output_name": {"fullname": "sqlglot.expressions.Subquery.output_name", "modulename": "sqlglot.expressions", "qualname": "Subquery.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.TableSample": {"fullname": "sqlglot.expressions.TableSample", "modulename": "sqlglot.expressions", "qualname": "TableSample", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Tag": {"fullname": "sqlglot.expressions.Tag", "modulename": "sqlglot.expressions", "qualname": "Tag", "kind": "class", "doc": "

Tags are used for generating arbitrary sql like SELECT x.

\n", "bases": "Expression"}, "sqlglot.expressions.Pivot": {"fullname": "sqlglot.expressions.Pivot", "modulename": "sqlglot.expressions", "qualname": "Pivot", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Window": {"fullname": "sqlglot.expressions.Window", "modulename": "sqlglot.expressions", "qualname": "Window", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.WindowSpec": {"fullname": "sqlglot.expressions.WindowSpec", "modulename": "sqlglot.expressions", "qualname": "WindowSpec", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Where": {"fullname": "sqlglot.expressions.Where", "modulename": "sqlglot.expressions", "qualname": "Where", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star": {"fullname": "sqlglot.expressions.Star", "modulename": "sqlglot.expressions", "qualname": "Star", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Star.output_name": {"fullname": "sqlglot.expressions.Star.output_name", "modulename": "sqlglot.expressions", "qualname": "Star.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Parameter": {"fullname": "sqlglot.expressions.Parameter", "modulename": "sqlglot.expressions", "qualname": "Parameter", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.SessionParameter": {"fullname": "sqlglot.expressions.SessionParameter", "modulename": "sqlglot.expressions", "qualname": "SessionParameter", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Placeholder": {"fullname": "sqlglot.expressions.Placeholder", "modulename": "sqlglot.expressions", "qualname": "Placeholder", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Null": {"fullname": "sqlglot.expressions.Null", "modulename": "sqlglot.expressions", "qualname": "Null", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Boolean": {"fullname": "sqlglot.expressions.Boolean", "modulename": "sqlglot.expressions", "qualname": "Boolean", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.DataTypeSize": {"fullname": "sqlglot.expressions.DataTypeSize", "modulename": "sqlglot.expressions", "qualname": "DataTypeSize", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DataType": {"fullname": "sqlglot.expressions.DataType", "modulename": "sqlglot.expressions", "qualname": "DataType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DataType.Type": {"fullname": "sqlglot.expressions.DataType.Type", "modulename": "sqlglot.expressions", "qualname": "DataType.Type", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.expressions.DataType.Type.ARRAY": {"fullname": "sqlglot.expressions.DataType.Type.ARRAY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ARRAY", "kind": "variable", "doc": "

\n", "default_value": "<Type.ARRAY: 'ARRAY'>"}, "sqlglot.expressions.DataType.Type.BIGDECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGDECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGDECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGDECIMAL: 'BIGDECIMAL'>"}, "sqlglot.expressions.DataType.Type.BIGINT": {"fullname": "sqlglot.expressions.DataType.Type.BIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGINT: 'BIGINT'>"}, "sqlglot.expressions.DataType.Type.BIGSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.BIGSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIGSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIGSERIAL: 'BIGSERIAL'>"}, "sqlglot.expressions.DataType.Type.BINARY": {"fullname": "sqlglot.expressions.DataType.Type.BINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.BINARY: 'BINARY'>"}, "sqlglot.expressions.DataType.Type.BIT": {"fullname": "sqlglot.expressions.DataType.Type.BIT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BIT", "kind": "variable", "doc": "

\n", "default_value": "<Type.BIT: 'BIT'>"}, "sqlglot.expressions.DataType.Type.BOOLEAN": {"fullname": "sqlglot.expressions.DataType.Type.BOOLEAN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<Type.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.expressions.DataType.Type.CHAR": {"fullname": "sqlglot.expressions.DataType.Type.CHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.CHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.CHAR: 'CHAR'>"}, "sqlglot.expressions.DataType.Type.DATE": {"fullname": "sqlglot.expressions.DataType.Type.DATE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATE: 'DATE'>"}, "sqlglot.expressions.DataType.Type.DATETIME": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATETIME: 'DATETIME'>"}, "sqlglot.expressions.DataType.Type.DATETIME64": {"fullname": "sqlglot.expressions.DataType.Type.DATETIME64", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATETIME64", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATETIME64: 'DATETIME64'>"}, "sqlglot.expressions.DataType.Type.ENUM": {"fullname": "sqlglot.expressions.DataType.Type.ENUM", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ENUM", "kind": "variable", "doc": "

\n", "default_value": "<Type.ENUM: 'ENUM'>"}, "sqlglot.expressions.DataType.Type.INT4RANGE": {"fullname": "sqlglot.expressions.DataType.Type.INT4RANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT4RANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT4RANGE: 'INT4RANGE'>"}, "sqlglot.expressions.DataType.Type.INT4MULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.INT4MULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT4MULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT4MULTIRANGE: 'INT4MULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.INT8RANGE": {"fullname": "sqlglot.expressions.DataType.Type.INT8RANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT8RANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT8RANGE: 'INT8RANGE'>"}, "sqlglot.expressions.DataType.Type.INT8MULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.INT8MULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT8MULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT8MULTIRANGE: 'INT8MULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.NUMRANGE": {"fullname": "sqlglot.expressions.DataType.Type.NUMRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NUMRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.NUMRANGE: 'NUMRANGE'>"}, "sqlglot.expressions.DataType.Type.NUMMULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.NUMMULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NUMMULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.NUMMULTIRANGE: 'NUMMULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.TSRANGE": {"fullname": "sqlglot.expressions.DataType.Type.TSRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TSRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.TSRANGE: 'TSRANGE'>"}, "sqlglot.expressions.DataType.Type.TSMULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.TSMULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TSMULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.TSMULTIRANGE: 'TSMULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.TSTZRANGE": {"fullname": "sqlglot.expressions.DataType.Type.TSTZRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TSTZRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.TSTZRANGE: 'TSTZRANGE'>"}, "sqlglot.expressions.DataType.Type.TSTZMULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.TSTZMULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TSTZMULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.DATERANGE": {"fullname": "sqlglot.expressions.DataType.Type.DATERANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATERANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATERANGE: 'DATERANGE'>"}, "sqlglot.expressions.DataType.Type.DATEMULTIRANGE": {"fullname": "sqlglot.expressions.DataType.Type.DATEMULTIRANGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DATEMULTIRANGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DATEMULTIRANGE: 'DATEMULTIRANGE'>"}, "sqlglot.expressions.DataType.Type.DECIMAL": {"fullname": "sqlglot.expressions.DataType.Type.DECIMAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DECIMAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.DECIMAL: 'DECIMAL'>"}, "sqlglot.expressions.DataType.Type.DOUBLE": {"fullname": "sqlglot.expressions.DataType.Type.DOUBLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.DOUBLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.DOUBLE: 'DOUBLE'>"}, "sqlglot.expressions.DataType.Type.FLOAT": {"fullname": "sqlglot.expressions.DataType.Type.FLOAT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.FLOAT", "kind": "variable", "doc": "

\n", "default_value": "<Type.FLOAT: 'FLOAT'>"}, "sqlglot.expressions.DataType.Type.GEOGRAPHY": {"fullname": "sqlglot.expressions.DataType.Type.GEOGRAPHY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOGRAPHY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOGRAPHY: 'GEOGRAPHY'>"}, "sqlglot.expressions.DataType.Type.GEOMETRY": {"fullname": "sqlglot.expressions.DataType.Type.GEOMETRY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.GEOMETRY", "kind": "variable", "doc": "

\n", "default_value": "<Type.GEOMETRY: 'GEOMETRY'>"}, "sqlglot.expressions.DataType.Type.HLLSKETCH": {"fullname": "sqlglot.expressions.DataType.Type.HLLSKETCH", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HLLSKETCH", "kind": "variable", "doc": "

\n", "default_value": "<Type.HLLSKETCH: 'HLLSKETCH'>"}, "sqlglot.expressions.DataType.Type.HSTORE": {"fullname": "sqlglot.expressions.DataType.Type.HSTORE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.HSTORE", "kind": "variable", "doc": "

\n", "default_value": "<Type.HSTORE: 'HSTORE'>"}, "sqlglot.expressions.DataType.Type.IMAGE": {"fullname": "sqlglot.expressions.DataType.Type.IMAGE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.IMAGE", "kind": "variable", "doc": "

\n", "default_value": "<Type.IMAGE: 'IMAGE'>"}, "sqlglot.expressions.DataType.Type.INET": {"fullname": "sqlglot.expressions.DataType.Type.INET", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INET", "kind": "variable", "doc": "

\n", "default_value": "<Type.INET: 'INET'>"}, "sqlglot.expressions.DataType.Type.INT": {"fullname": "sqlglot.expressions.DataType.Type.INT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT: 'INT'>"}, "sqlglot.expressions.DataType.Type.INT128": {"fullname": "sqlglot.expressions.DataType.Type.INT128", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT128", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT128: 'INT128'>"}, "sqlglot.expressions.DataType.Type.INT256": {"fullname": "sqlglot.expressions.DataType.Type.INT256", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INT256", "kind": "variable", "doc": "

\n", "default_value": "<Type.INT256: 'INT256'>"}, "sqlglot.expressions.DataType.Type.INTERVAL": {"fullname": "sqlglot.expressions.DataType.Type.INTERVAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.INTERVAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.INTERVAL: 'INTERVAL'>"}, "sqlglot.expressions.DataType.Type.JSON": {"fullname": "sqlglot.expressions.DataType.Type.JSON", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSON", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSON: 'JSON'>"}, "sqlglot.expressions.DataType.Type.JSONB": {"fullname": "sqlglot.expressions.DataType.Type.JSONB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.JSONB", "kind": "variable", "doc": "

\n", "default_value": "<Type.JSONB: 'JSONB'>"}, "sqlglot.expressions.DataType.Type.LONGBLOB": {"fullname": "sqlglot.expressions.DataType.Type.LONGBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGBLOB: 'LONGBLOB'>"}, "sqlglot.expressions.DataType.Type.LONGTEXT": {"fullname": "sqlglot.expressions.DataType.Type.LONGTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.LONGTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.LONGTEXT: 'LONGTEXT'>"}, "sqlglot.expressions.DataType.Type.MAP": {"fullname": "sqlglot.expressions.DataType.Type.MAP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MAP", "kind": "variable", "doc": "

\n", "default_value": "<Type.MAP: 'MAP'>"}, "sqlglot.expressions.DataType.Type.MEDIUMBLOB": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMBLOB", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMBLOB", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMBLOB: 'MEDIUMBLOB'>"}, "sqlglot.expressions.DataType.Type.MEDIUMTEXT": {"fullname": "sqlglot.expressions.DataType.Type.MEDIUMTEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MEDIUMTEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.MEDIUMTEXT: 'MEDIUMTEXT'>"}, "sqlglot.expressions.DataType.Type.MONEY": {"fullname": "sqlglot.expressions.DataType.Type.MONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.MONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.MONEY: 'MONEY'>"}, "sqlglot.expressions.DataType.Type.NCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NCHAR: 'NCHAR'>"}, "sqlglot.expressions.DataType.Type.NULL": {"fullname": "sqlglot.expressions.DataType.Type.NULL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULL", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULL: 'NULL'>"}, "sqlglot.expressions.DataType.Type.NULLABLE": {"fullname": "sqlglot.expressions.DataType.Type.NULLABLE", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NULLABLE", "kind": "variable", "doc": "

\n", "default_value": "<Type.NULLABLE: 'NULLABLE'>"}, "sqlglot.expressions.DataType.Type.NVARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.NVARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.NVARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.NVARCHAR: 'NVARCHAR'>"}, "sqlglot.expressions.DataType.Type.OBJECT": {"fullname": "sqlglot.expressions.DataType.Type.OBJECT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.OBJECT", "kind": "variable", "doc": "

\n", "default_value": "<Type.OBJECT: 'OBJECT'>"}, "sqlglot.expressions.DataType.Type.ROWVERSION": {"fullname": "sqlglot.expressions.DataType.Type.ROWVERSION", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.ROWVERSION", "kind": "variable", "doc": "

\n", "default_value": "<Type.ROWVERSION: 'ROWVERSION'>"}, "sqlglot.expressions.DataType.Type.SERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SERIAL: 'SERIAL'>"}, "sqlglot.expressions.DataType.Type.SET": {"fullname": "sqlglot.expressions.DataType.Type.SET", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SET", "kind": "variable", "doc": "

\n", "default_value": "<Type.SET: 'SET'>"}, "sqlglot.expressions.DataType.Type.SMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.SMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLINT: 'SMALLINT'>"}, "sqlglot.expressions.DataType.Type.SMALLMONEY": {"fullname": "sqlglot.expressions.DataType.Type.SMALLMONEY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLMONEY", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLMONEY: 'SMALLMONEY'>"}, "sqlglot.expressions.DataType.Type.SMALLSERIAL": {"fullname": "sqlglot.expressions.DataType.Type.SMALLSERIAL", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SMALLSERIAL", "kind": "variable", "doc": "

\n", "default_value": "<Type.SMALLSERIAL: 'SMALLSERIAL'>"}, "sqlglot.expressions.DataType.Type.STRUCT": {"fullname": "sqlglot.expressions.DataType.Type.STRUCT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<Type.STRUCT: 'STRUCT'>"}, "sqlglot.expressions.DataType.Type.SUPER": {"fullname": "sqlglot.expressions.DataType.Type.SUPER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.SUPER", "kind": "variable", "doc": "

\n", "default_value": "<Type.SUPER: 'SUPER'>"}, "sqlglot.expressions.DataType.Type.TEXT": {"fullname": "sqlglot.expressions.DataType.Type.TEXT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TEXT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TEXT: 'TEXT'>"}, "sqlglot.expressions.DataType.Type.TIME": {"fullname": "sqlglot.expressions.DataType.Type.TIME", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIME", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIME: 'TIME'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMP": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMP", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMP", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMP: 'TIMESTAMP'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>"}, "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ": {"fullname": "sqlglot.expressions.DataType.Type.TIMESTAMPLTZ", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TIMESTAMPLTZ", "kind": "variable", "doc": "

\n", "default_value": "<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>"}, "sqlglot.expressions.DataType.Type.TINYINT": {"fullname": "sqlglot.expressions.DataType.Type.TINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.TINYINT: 'TINYINT'>"}, "sqlglot.expressions.DataType.Type.UBIGINT": {"fullname": "sqlglot.expressions.DataType.Type.UBIGINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UBIGINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UBIGINT: 'UBIGINT'>"}, "sqlglot.expressions.DataType.Type.UINT": {"fullname": "sqlglot.expressions.DataType.Type.UINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT: 'UINT'>"}, "sqlglot.expressions.DataType.Type.USMALLINT": {"fullname": "sqlglot.expressions.DataType.Type.USMALLINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.USMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.USMALLINT: 'USMALLINT'>"}, "sqlglot.expressions.DataType.Type.UTINYINT": {"fullname": "sqlglot.expressions.DataType.Type.UTINYINT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UTINYINT", "kind": "variable", "doc": "

\n", "default_value": "<Type.UTINYINT: 'UTINYINT'>"}, "sqlglot.expressions.DataType.Type.UNKNOWN": {"fullname": "sqlglot.expressions.DataType.Type.UNKNOWN", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNKNOWN", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNKNOWN: 'UNKNOWN'>"}, "sqlglot.expressions.DataType.Type.UINT128": {"fullname": "sqlglot.expressions.DataType.Type.UINT128", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT128", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT128: 'UINT128'>"}, "sqlglot.expressions.DataType.Type.UINT256": {"fullname": "sqlglot.expressions.DataType.Type.UINT256", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UINT256", "kind": "variable", "doc": "

\n", "default_value": "<Type.UINT256: 'UINT256'>"}, "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER": {"fullname": "sqlglot.expressions.DataType.Type.UNIQUEIDENTIFIER", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UNIQUEIDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<Type.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>"}, "sqlglot.expressions.DataType.Type.UUID": {"fullname": "sqlglot.expressions.DataType.Type.UUID", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.UUID", "kind": "variable", "doc": "

\n", "default_value": "<Type.UUID: 'UUID'>"}, "sqlglot.expressions.DataType.Type.VARBINARY": {"fullname": "sqlglot.expressions.DataType.Type.VARBINARY", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARBINARY", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARBINARY: 'VARBINARY'>"}, "sqlglot.expressions.DataType.Type.VARCHAR": {"fullname": "sqlglot.expressions.DataType.Type.VARCHAR", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARCHAR", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARCHAR: 'VARCHAR'>"}, "sqlglot.expressions.DataType.Type.VARIANT": {"fullname": "sqlglot.expressions.DataType.Type.VARIANT", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.VARIANT", "kind": "variable", "doc": "

\n", "default_value": "<Type.VARIANT: 'VARIANT'>"}, "sqlglot.expressions.DataType.Type.XML": {"fullname": "sqlglot.expressions.DataType.Type.XML", "modulename": "sqlglot.expressions", "qualname": "DataType.Type.XML", "kind": "variable", "doc": "

\n", "default_value": "<Type.XML: 'XML'>"}, "sqlglot.expressions.DataType.build": {"fullname": "sqlglot.expressions.DataType.build", "modulename": "sqlglot.expressions", "qualname": "DataType.build", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tdtype: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.expressions.DataType.is_type": {"fullname": "sqlglot.expressions.DataType.is_type", "modulename": "sqlglot.expressions", "qualname": "DataType.is_type", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*dtypes: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.PseudoType": {"fullname": "sqlglot.expressions.PseudoType", "modulename": "sqlglot.expressions", "qualname": "PseudoType", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.SubqueryPredicate": {"fullname": "sqlglot.expressions.SubqueryPredicate", "modulename": "sqlglot.expressions", "qualname": "SubqueryPredicate", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.All": {"fullname": "sqlglot.expressions.All", "modulename": "sqlglot.expressions", "qualname": "All", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Any": {"fullname": "sqlglot.expressions.Any", "modulename": "sqlglot.expressions", "qualname": "Any", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Exists": {"fullname": "sqlglot.expressions.Exists", "modulename": "sqlglot.expressions", "qualname": "Exists", "kind": "class", "doc": "

\n", "bases": "SubqueryPredicate"}, "sqlglot.expressions.Command": {"fullname": "sqlglot.expressions.Command", "modulename": "sqlglot.expressions", "qualname": "Command", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Transaction": {"fullname": "sqlglot.expressions.Transaction", "modulename": "sqlglot.expressions", "qualname": "Transaction", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Commit": {"fullname": "sqlglot.expressions.Commit", "modulename": "sqlglot.expressions", "qualname": "Commit", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Rollback": {"fullname": "sqlglot.expressions.Rollback", "modulename": "sqlglot.expressions", "qualname": "Rollback", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AlterTable": {"fullname": "sqlglot.expressions.AlterTable", "modulename": "sqlglot.expressions", "qualname": "AlterTable", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AddConstraint": {"fullname": "sqlglot.expressions.AddConstraint", "modulename": "sqlglot.expressions", "qualname": "AddConstraint", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.DropPartition": {"fullname": "sqlglot.expressions.DropPartition", "modulename": "sqlglot.expressions", "qualname": "DropPartition", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Binary": {"fullname": "sqlglot.expressions.Binary", "modulename": "sqlglot.expressions", "qualname": "Binary", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Add": {"fullname": "sqlglot.expressions.Add", "modulename": "sqlglot.expressions", "qualname": "Add", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Connector": {"fullname": "sqlglot.expressions.Connector", "modulename": "sqlglot.expressions", "qualname": "Connector", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.And": {"fullname": "sqlglot.expressions.And", "modulename": "sqlglot.expressions", "qualname": "And", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.Or": {"fullname": "sqlglot.expressions.Or", "modulename": "sqlglot.expressions", "qualname": "Or", "kind": "class", "doc": "

\n", "bases": "Connector"}, "sqlglot.expressions.BitwiseAnd": {"fullname": "sqlglot.expressions.BitwiseAnd", "modulename": "sqlglot.expressions", "qualname": "BitwiseAnd", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseLeftShift": {"fullname": "sqlglot.expressions.BitwiseLeftShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseLeftShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseOr": {"fullname": "sqlglot.expressions.BitwiseOr", "modulename": "sqlglot.expressions", "qualname": "BitwiseOr", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseRightShift": {"fullname": "sqlglot.expressions.BitwiseRightShift", "modulename": "sqlglot.expressions", "qualname": "BitwiseRightShift", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.BitwiseXor": {"fullname": "sqlglot.expressions.BitwiseXor", "modulename": "sqlglot.expressions", "qualname": "BitwiseXor", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Div": {"fullname": "sqlglot.expressions.Div", "modulename": "sqlglot.expressions", "qualname": "Div", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Overlaps": {"fullname": "sqlglot.expressions.Overlaps", "modulename": "sqlglot.expressions", "qualname": "Overlaps", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Dot": {"fullname": "sqlglot.expressions.Dot", "modulename": "sqlglot.expressions", "qualname": "Dot", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Dot.output_name": {"fullname": "sqlglot.expressions.Dot.output_name", "modulename": "sqlglot.expressions", "qualname": "Dot.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Dot.build": {"fullname": "sqlglot.expressions.Dot.build", "modulename": "sqlglot.expressions", "qualname": "Dot.build", "kind": "function", "doc": "

Build a Dot object with a sequence of expressions.

\n", "signature": "(\tself,\texpressions: Sequence[sqlglot.expressions.Expression]) -> sqlglot.expressions.Dot:", "funcdef": "def"}, "sqlglot.expressions.DPipe": {"fullname": "sqlglot.expressions.DPipe", "modulename": "sqlglot.expressions", "qualname": "DPipe", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.SafeDPipe": {"fullname": "sqlglot.expressions.SafeDPipe", "modulename": "sqlglot.expressions", "qualname": "SafeDPipe", "kind": "class", "doc": "

\n", "bases": "DPipe"}, "sqlglot.expressions.EQ": {"fullname": "sqlglot.expressions.EQ", "modulename": "sqlglot.expressions", "qualname": "EQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeEQ": {"fullname": "sqlglot.expressions.NullSafeEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.NullSafeNEQ": {"fullname": "sqlglot.expressions.NullSafeNEQ", "modulename": "sqlglot.expressions", "qualname": "NullSafeNEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Distance": {"fullname": "sqlglot.expressions.Distance", "modulename": "sqlglot.expressions", "qualname": "Distance", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Escape": {"fullname": "sqlglot.expressions.Escape", "modulename": "sqlglot.expressions", "qualname": "Escape", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Glob": {"fullname": "sqlglot.expressions.Glob", "modulename": "sqlglot.expressions", "qualname": "Glob", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GT": {"fullname": "sqlglot.expressions.GT", "modulename": "sqlglot.expressions", "qualname": "GT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.GTE": {"fullname": "sqlglot.expressions.GTE", "modulename": "sqlglot.expressions", "qualname": "GTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILike": {"fullname": "sqlglot.expressions.ILike", "modulename": "sqlglot.expressions", "qualname": "ILike", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.ILikeAny": {"fullname": "sqlglot.expressions.ILikeAny", "modulename": "sqlglot.expressions", "qualname": "ILikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.IntDiv": {"fullname": "sqlglot.expressions.IntDiv", "modulename": "sqlglot.expressions", "qualname": "IntDiv", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Is": {"fullname": "sqlglot.expressions.Is", "modulename": "sqlglot.expressions", "qualname": "Is", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Kwarg": {"fullname": "sqlglot.expressions.Kwarg", "modulename": "sqlglot.expressions", "qualname": "Kwarg", "kind": "class", "doc": "

Kwarg in special functions like func(kwarg => y).

\n", "bases": "Binary"}, "sqlglot.expressions.Like": {"fullname": "sqlglot.expressions.Like", "modulename": "sqlglot.expressions", "qualname": "Like", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LikeAny": {"fullname": "sqlglot.expressions.LikeAny", "modulename": "sqlglot.expressions", "qualname": "LikeAny", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LT": {"fullname": "sqlglot.expressions.LT", "modulename": "sqlglot.expressions", "qualname": "LT", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.LTE": {"fullname": "sqlglot.expressions.LTE", "modulename": "sqlglot.expressions", "qualname": "LTE", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Mod": {"fullname": "sqlglot.expressions.Mod", "modulename": "sqlglot.expressions", "qualname": "Mod", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Mul": {"fullname": "sqlglot.expressions.Mul", "modulename": "sqlglot.expressions", "qualname": "Mul", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.NEQ": {"fullname": "sqlglot.expressions.NEQ", "modulename": "sqlglot.expressions", "qualname": "NEQ", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.SimilarTo": {"fullname": "sqlglot.expressions.SimilarTo", "modulename": "sqlglot.expressions", "qualname": "SimilarTo", "kind": "class", "doc": "

\n", "bases": "Binary, Predicate"}, "sqlglot.expressions.Slice": {"fullname": "sqlglot.expressions.Slice", "modulename": "sqlglot.expressions", "qualname": "Slice", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Sub": {"fullname": "sqlglot.expressions.Sub", "modulename": "sqlglot.expressions", "qualname": "Sub", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.ArrayOverlaps": {"fullname": "sqlglot.expressions.ArrayOverlaps", "modulename": "sqlglot.expressions", "qualname": "ArrayOverlaps", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.Unary": {"fullname": "sqlglot.expressions.Unary", "modulename": "sqlglot.expressions", "qualname": "Unary", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.BitwiseNot": {"fullname": "sqlglot.expressions.BitwiseNot", "modulename": "sqlglot.expressions", "qualname": "BitwiseNot", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Not": {"fullname": "sqlglot.expressions.Not", "modulename": "sqlglot.expressions", "qualname": "Not", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Paren": {"fullname": "sqlglot.expressions.Paren", "modulename": "sqlglot.expressions", "qualname": "Paren", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Paren.output_name": {"fullname": "sqlglot.expressions.Paren.output_name", "modulename": "sqlglot.expressions", "qualname": "Paren.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Neg": {"fullname": "sqlglot.expressions.Neg", "modulename": "sqlglot.expressions", "qualname": "Neg", "kind": "class", "doc": "

\n", "bases": "Unary"}, "sqlglot.expressions.Alias": {"fullname": "sqlglot.expressions.Alias", "modulename": "sqlglot.expressions", "qualname": "Alias", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Alias.output_name": {"fullname": "sqlglot.expressions.Alias.output_name", "modulename": "sqlglot.expressions", "qualname": "Alias.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Aliases": {"fullname": "sqlglot.expressions.Aliases", "modulename": "sqlglot.expressions", "qualname": "Aliases", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.AtTimeZone": {"fullname": "sqlglot.expressions.AtTimeZone", "modulename": "sqlglot.expressions", "qualname": "AtTimeZone", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Between": {"fullname": "sqlglot.expressions.Between", "modulename": "sqlglot.expressions", "qualname": "Between", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.Bracket": {"fullname": "sqlglot.expressions.Bracket", "modulename": "sqlglot.expressions", "qualname": "Bracket", "kind": "class", "doc": "

\n", "bases": "Condition"}, "sqlglot.expressions.Distinct": {"fullname": "sqlglot.expressions.Distinct", "modulename": "sqlglot.expressions", "qualname": "Distinct", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.In": {"fullname": "sqlglot.expressions.In", "modulename": "sqlglot.expressions", "qualname": "In", "kind": "class", "doc": "

\n", "bases": "Predicate"}, "sqlglot.expressions.TimeUnit": {"fullname": "sqlglot.expressions.TimeUnit", "modulename": "sqlglot.expressions", "qualname": "TimeUnit", "kind": "class", "doc": "

Automatically converts unit arg into a var.

\n", "bases": "Expression"}, "sqlglot.expressions.TimeUnit.__init__": {"fullname": "sqlglot.expressions.TimeUnit.__init__", "modulename": "sqlglot.expressions", "qualname": "TimeUnit.__init__", "kind": "function", "doc": "

\n", "signature": "(**args)"}, "sqlglot.expressions.Interval": {"fullname": "sqlglot.expressions.Interval", "modulename": "sqlglot.expressions", "qualname": "Interval", "kind": "class", "doc": "

\n", "bases": "TimeUnit"}, "sqlglot.expressions.IgnoreNulls": {"fullname": "sqlglot.expressions.IgnoreNulls", "modulename": "sqlglot.expressions", "qualname": "IgnoreNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.RespectNulls": {"fullname": "sqlglot.expressions.RespectNulls", "modulename": "sqlglot.expressions", "qualname": "RespectNulls", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Func": {"fullname": "sqlglot.expressions.Func", "modulename": "sqlglot.expressions", "qualname": "Func", "kind": "class", "doc": "

The base class for all function expressions.

\n\n
Attributes:
\n\n
    \n
  • is_var_len_args (bool): if set to True the last argument defined in arg_types will be\ntreated as a variable length argument and the argument's value will be stored as a list.
    • \n
  • _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)\nfor this function expression. These values are used to map this node to a name during parsing\nas well as to provide the function's name during SQL string generation. By default the SQL\nname is set to the expression's class name transformed to snake case.
    • \n
\n", "bases": "Condition"}, "sqlglot.expressions.Func.from_arg_list": {"fullname": "sqlglot.expressions.Func.from_arg_list", "modulename": "sqlglot.expressions", "qualname": "Func.from_arg_list", "kind": "function", "doc": "

\n", "signature": "(cls, args):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_names": {"fullname": "sqlglot.expressions.Func.sql_names", "modulename": "sqlglot.expressions", "qualname": "Func.sql_names", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.sql_name": {"fullname": "sqlglot.expressions.Func.sql_name", "modulename": "sqlglot.expressions", "qualname": "Func.sql_name", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.Func.default_parser_mappings": {"fullname": "sqlglot.expressions.Func.default_parser_mappings", "modulename": "sqlglot.expressions", "qualname": "Func.default_parser_mappings", "kind": "function", "doc": "

\n", "signature": "(cls):", "funcdef": "def"}, "sqlglot.expressions.AggFunc": {"fullname": "sqlglot.expressions.AggFunc", "modulename": "sqlglot.expressions", "qualname": "AggFunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ParameterizedAgg": {"fullname": "sqlglot.expressions.ParameterizedAgg", "modulename": "sqlglot.expressions", "qualname": "ParameterizedAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Abs": {"fullname": "sqlglot.expressions.Abs", "modulename": "sqlglot.expressions", "qualname": "Abs", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Anonymous": {"fullname": "sqlglot.expressions.Anonymous", "modulename": "sqlglot.expressions", "qualname": "Anonymous", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Hll": {"fullname": "sqlglot.expressions.Hll", "modulename": "sqlglot.expressions", "qualname": "Hll", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ApproxDistinct": {"fullname": "sqlglot.expressions.ApproxDistinct", "modulename": "sqlglot.expressions", "qualname": "ApproxDistinct", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Array": {"fullname": "sqlglot.expressions.Array", "modulename": "sqlglot.expressions", "qualname": "Array", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ToChar": {"fullname": "sqlglot.expressions.ToChar", "modulename": "sqlglot.expressions", "qualname": "ToChar", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.GenerateSeries": {"fullname": "sqlglot.expressions.GenerateSeries", "modulename": "sqlglot.expressions", "qualname": "GenerateSeries", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAgg": {"fullname": "sqlglot.expressions.ArrayAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.ArrayAll": {"fullname": "sqlglot.expressions.ArrayAll", "modulename": "sqlglot.expressions", "qualname": "ArrayAll", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayAny": {"fullname": "sqlglot.expressions.ArrayAny", "modulename": "sqlglot.expressions", "qualname": "ArrayAny", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayConcat": {"fullname": "sqlglot.expressions.ArrayConcat", "modulename": "sqlglot.expressions", "qualname": "ArrayConcat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayContains": {"fullname": "sqlglot.expressions.ArrayContains", "modulename": "sqlglot.expressions", "qualname": "ArrayContains", "kind": "class", "doc": "

\n", "bases": "Binary, Func"}, "sqlglot.expressions.ArrayContained": {"fullname": "sqlglot.expressions.ArrayContained", "modulename": "sqlglot.expressions", "qualname": "ArrayContained", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.ArrayFilter": {"fullname": "sqlglot.expressions.ArrayFilter", "modulename": "sqlglot.expressions", "qualname": "ArrayFilter", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayJoin": {"fullname": "sqlglot.expressions.ArrayJoin", "modulename": "sqlglot.expressions", "qualname": "ArrayJoin", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySize": {"fullname": "sqlglot.expressions.ArraySize", "modulename": "sqlglot.expressions", "qualname": "ArraySize", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySort": {"fullname": "sqlglot.expressions.ArraySort", "modulename": "sqlglot.expressions", "qualname": "ArraySort", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArraySum": {"fullname": "sqlglot.expressions.ArraySum", "modulename": "sqlglot.expressions", "qualname": "ArraySum", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.ArrayUnionAgg": {"fullname": "sqlglot.expressions.ArrayUnionAgg", "modulename": "sqlglot.expressions", "qualname": "ArrayUnionAgg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Avg": {"fullname": "sqlglot.expressions.Avg", "modulename": "sqlglot.expressions", "qualname": "Avg", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.AnyValue": {"fullname": "sqlglot.expressions.AnyValue", "modulename": "sqlglot.expressions", "qualname": "AnyValue", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Case": {"fullname": "sqlglot.expressions.Case", "modulename": "sqlglot.expressions", "qualname": "Case", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Case.when": {"fullname": "sqlglot.expressions.Case.when", "modulename": "sqlglot.expressions", "qualname": "Case.when", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: Union[str, sqlglot.expressions.Expression],\tthen: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Case:", "funcdef": "def"}, "sqlglot.expressions.Case.else_": {"fullname": "sqlglot.expressions.Case.else_", "modulename": "sqlglot.expressions", "qualname": "Case.else_", "kind": "function", "doc": "

\n", "signature": "(\tself,\tcondition: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Case:", "funcdef": "def"}, "sqlglot.expressions.Cast": {"fullname": "sqlglot.expressions.Cast", "modulename": "sqlglot.expressions", "qualname": "Cast", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Cast.output_name": {"fullname": "sqlglot.expressions.Cast.output_name", "modulename": "sqlglot.expressions", "qualname": "Cast.output_name", "kind": "variable", "doc": "

Name of the output column if this expression is a selection.

\n\n

If the Expression has no output name, an empty string is returned.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> parse_one("SELECT a").expressions[0].output_name\n'a'\n>>> parse_one("SELECT b AS c").expressions[0].output_name\n'c'\n>>> parse_one("SELECT 1 + 2").expressions[0].output_name\n''\n
\n
\n
\n", "annotation": ": str"}, "sqlglot.expressions.Cast.is_type": {"fullname": "sqlglot.expressions.Cast.is_type", "modulename": "sqlglot.expressions", "qualname": "Cast.is_type", "kind": "function", "doc": "

\n", "signature": "(\tself,\t*dtypes: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type) -> bool:", "funcdef": "def"}, "sqlglot.expressions.CastToStrType": {"fullname": "sqlglot.expressions.CastToStrType", "modulename": "sqlglot.expressions", "qualname": "CastToStrType", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Collate": {"fullname": "sqlglot.expressions.Collate", "modulename": "sqlglot.expressions", "qualname": "Collate", "kind": "class", "doc": "

\n", "bases": "Binary"}, "sqlglot.expressions.TryCast": {"fullname": "sqlglot.expressions.TryCast", "modulename": "sqlglot.expressions", "qualname": "TryCast", "kind": "class", "doc": "

\n", "bases": "Cast"}, "sqlglot.expressions.Ceil": {"fullname": "sqlglot.expressions.Ceil", "modulename": "sqlglot.expressions", "qualname": "Ceil", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Coalesce": {"fullname": "sqlglot.expressions.Coalesce", "modulename": "sqlglot.expressions", "qualname": "Coalesce", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Concat": {"fullname": "sqlglot.expressions.Concat", "modulename": "sqlglot.expressions", "qualname": "Concat", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.SafeConcat": {"fullname": "sqlglot.expressions.SafeConcat", "modulename": "sqlglot.expressions", "qualname": "SafeConcat", "kind": "class", "doc": "

\n", "bases": "Concat"}, "sqlglot.expressions.ConcatWs": {"fullname": "sqlglot.expressions.ConcatWs", "modulename": "sqlglot.expressions", "qualname": "ConcatWs", "kind": "class", "doc": "

\n", "bases": "Concat"}, "sqlglot.expressions.Count": {"fullname": "sqlglot.expressions.Count", "modulename": "sqlglot.expressions", "qualname": "Count", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.CountIf": {"fullname": "sqlglot.expressions.CountIf", "modulename": "sqlglot.expressions", "qualname": "CountIf", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.CurrentDate": {"fullname": "sqlglot.expressions.CurrentDate", "modulename": "sqlglot.expressions", "qualname": "CurrentDate", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentDatetime": {"fullname": "sqlglot.expressions.CurrentDatetime", "modulename": "sqlglot.expressions", "qualname": "CurrentDatetime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTime": {"fullname": "sqlglot.expressions.CurrentTime", "modulename": "sqlglot.expressions", "qualname": "CurrentTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentTimestamp": {"fullname": "sqlglot.expressions.CurrentTimestamp", "modulename": "sqlglot.expressions", "qualname": "CurrentTimestamp", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.CurrentUser": {"fullname": "sqlglot.expressions.CurrentUser", "modulename": "sqlglot.expressions", "qualname": "CurrentUser", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DateAdd": {"fullname": "sqlglot.expressions.DateAdd", "modulename": "sqlglot.expressions", "qualname": "DateAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateSub": {"fullname": "sqlglot.expressions.DateSub", "modulename": "sqlglot.expressions", "qualname": "DateSub", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateDiff": {"fullname": "sqlglot.expressions.DateDiff", "modulename": "sqlglot.expressions", "qualname": "DateDiff", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DateTrunc": {"fullname": "sqlglot.expressions.DateTrunc", "modulename": "sqlglot.expressions", "qualname": "DateTrunc", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.DatetimeAdd": {"fullname": "sqlglot.expressions.DatetimeAdd", "modulename": "sqlglot.expressions", "qualname": "DatetimeAdd", "kind": "class", "doc": "

\n", "bases": "Func, TimeUnit"}, "sqlglot.expressions.DatetimeSub": {"fullname": "sqlglot.expressions.DatetimeSub", "modulename": "sqlglot.expressions", "qualname": "DatetimeSub", "kind": "class", "doc": "

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\n", "bases": "Func"}, "sqlglot.expressions.TsOrDiToDi": {"fullname": "sqlglot.expressions.TsOrDiToDi", "modulename": "sqlglot.expressions", "qualname": "TsOrDiToDi", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Unhex": {"fullname": "sqlglot.expressions.Unhex", "modulename": "sqlglot.expressions", "qualname": "Unhex", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToStr": {"fullname": "sqlglot.expressions.UnixToStr", "modulename": "sqlglot.expressions", "qualname": "UnixToStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTime": {"fullname": "sqlglot.expressions.UnixToTime", "modulename": "sqlglot.expressions", "qualname": "UnixToTime", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.UnixToTimeStr": {"fullname": "sqlglot.expressions.UnixToTimeStr", "modulename": "sqlglot.expressions", "qualname": "UnixToTimeStr", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Upper": {"fullname": "sqlglot.expressions.Upper", "modulename": "sqlglot.expressions", "qualname": "Upper", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Variance": {"fullname": "sqlglot.expressions.Variance", "modulename": "sqlglot.expressions", "qualname": "Variance", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.VariancePop": {"fullname": "sqlglot.expressions.VariancePop", "modulename": "sqlglot.expressions", "qualname": "VariancePop", "kind": "class", "doc": "

\n", "bases": "AggFunc"}, "sqlglot.expressions.Week": {"fullname": "sqlglot.expressions.Week", "modulename": "sqlglot.expressions", "qualname": "Week", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.XMLTable": {"fullname": "sqlglot.expressions.XMLTable", "modulename": "sqlglot.expressions", "qualname": "XMLTable", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Year": {"fullname": "sqlglot.expressions.Year", "modulename": "sqlglot.expressions", "qualname": "Year", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.Use": {"fullname": "sqlglot.expressions.Use", "modulename": "sqlglot.expressions", "qualname": "Use", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.Merge": {"fullname": "sqlglot.expressions.Merge", "modulename": "sqlglot.expressions", "qualname": "Merge", "kind": "class", "doc": "

\n", "bases": "Expression"}, "sqlglot.expressions.When": {"fullname": "sqlglot.expressions.When", "modulename": "sqlglot.expressions", "qualname": "When", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.NextValueFor": {"fullname": "sqlglot.expressions.NextValueFor", "modulename": "sqlglot.expressions", "qualname": "NextValueFor", "kind": "class", "doc": "

\n", "bases": "Func"}, "sqlglot.expressions.maybe_parse": {"fullname": "sqlglot.expressions.maybe_parse", "modulename": "sqlglot.expressions", "qualname": "maybe_parse", "kind": "function", "doc": "

Gracefully handle a possible string or expression.

\n\n
Example:
\n\n
\n
\n
>>> maybe_parse("1")\n(LITERAL this: 1, is_string: False)\n>>> maybe_parse(to_identifier("x"))\n(IDENTIFIER this: x, quoted: False)\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • sql_or_expression: the SQL code string or an expression
    • \n
  • into: the SQLGlot Expression to parse into
    • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
    • \n
  • prefix: a string to prefix the sql with before it gets parsed\n(automatically includes a space)
    • \n
  • copy: whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Expression: the parsed or given expression.

\n
\n", "signature": "(\tsql_or_expression: Union[str, sqlglot.expressions.Expression],\t*,\tinto: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]], NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tprefix: Optional[str] = None,\tcopy: bool = False,\t**opts) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.union": {"fullname": "sqlglot.expressions.union", "modulename": "sqlglot.expressions", "qualname": "union", "kind": "function", "doc": "

Initializes a syntax tree from one UNION expression.

\n\n
Example:
\n\n
\n
\n
>>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left: the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Union instance.

\n
\n", "signature": "(\tleft: Union[str, sqlglot.expressions.Expression],\tright: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Union:", "funcdef": "def"}, "sqlglot.expressions.intersect": {"fullname": "sqlglot.expressions.intersect", "modulename": "sqlglot.expressions", "qualname": "intersect", "kind": "function", "doc": "

Initializes a syntax tree from one INTERSECT expression.

\n\n
Example:
\n\n
\n
\n
>>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left: the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Intersect instance.

\n
\n", "signature": "(\tleft: Union[str, sqlglot.expressions.Expression],\tright: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Intersect:", "funcdef": "def"}, "sqlglot.expressions.except_": {"fullname": "sqlglot.expressions.except_", "modulename": "sqlglot.expressions", "qualname": "except_", "kind": "function", "doc": "

Initializes a syntax tree from one EXCEPT expression.

\n\n
Example:
\n\n
\n
\n
>>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • left: the SQL code string corresponding to the left-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
    • \n
  • distinct: set the DISTINCT flag if and only if this is true.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new Except instance.

\n
\n", "signature": "(\tleft: Union[str, sqlglot.expressions.Expression],\tright: Union[str, sqlglot.expressions.Expression],\tdistinct: bool = True,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Except:", "funcdef": "def"}, "sqlglot.expressions.select": {"fullname": "sqlglot.expressions.select", "modulename": "sqlglot.expressions", "qualname": "select", "kind": "function", "doc": "

Initializes a syntax tree from one or multiple SELECT expressions.

\n\n
Example:
\n\n
\n
\n
>>> select("col1", "col2").from_("tbl").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code string to parse as the expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.from_": {"fullname": "sqlglot.expressions.from_", "modulename": "sqlglot.expressions", "qualname": "from_", "kind": "function", "doc": "

Initializes a syntax tree from a FROM expression.

\n\n
Example:
\n\n
\n
\n
>>> from_("tbl").select("col1", "col2").sql()\n'SELECT col1, col2 FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expression: the SQL code string to parse as the FROM expressions of a\nSELECT statement. If an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

Select: the syntax tree for the SELECT statement.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.update": {"fullname": "sqlglot.expressions.update", "modulename": "sqlglot.expressions", "qualname": "update", "kind": "function", "doc": "

Creates an update statement.

\n\n
Example:
\n\n
\n
\n
>>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()\n"UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *properties: dictionary of properties to set which are\nauto converted to sql objects eg None -> NULL
    • \n
  • where: sql conditional parsed into a WHERE statement
    • \n
  • from_: sql statement parsed into a FROM statement
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Update: the syntax tree for the UPDATE statement.

\n
\n", "signature": "(\ttable: str | sqlglot.expressions.Table,\tproperties: dict,\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tfrom_: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Update:", "funcdef": "def"}, "sqlglot.expressions.delete": {"fullname": "sqlglot.expressions.delete", "modulename": "sqlglot.expressions", "qualname": "delete", "kind": "function", "doc": "

Builds a delete statement.

\n\n
Example:
\n\n
\n
\n
>>> delete("my_table", where="id > 1").sql()\n'DELETE FROM my_table WHERE id > 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • where: sql conditional parsed into a WHERE statement
    • \n
  • returning: sql conditional parsed into a RETURNING statement
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Delete: the syntax tree for the DELETE statement.

\n
\n", "signature": "(\ttable: Union[str, sqlglot.expressions.Expression],\twhere: Union[str, sqlglot.expressions.Expression, NoneType] = None,\treturning: Union[str, sqlglot.expressions.Expression, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Delete:", "funcdef": "def"}, "sqlglot.expressions.insert": {"fullname": "sqlglot.expressions.insert", "modulename": "sqlglot.expressions", "qualname": "insert", "kind": "function", "doc": "

Builds an INSERT statement.

\n\n
Example:
\n\n
\n
\n
>>> insert("VALUES (1, 2, 3)", "tbl").sql()\n'INSERT INTO tbl VALUES (1, 2, 3)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the sql string or expression of the INSERT statement
    • \n
  • into: the tbl to insert data to.
    • \n
  • columns: optionally the table's column names.
    • \n
  • overwrite: whether to INSERT OVERWRITE or not.
    • \n
  • dialect: the dialect used to parse the input expressions.
    • \n
  • copy: whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Insert: the syntax tree for the INSERT statement.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tinto: Union[str, sqlglot.expressions.Expression],\tcolumns: Optional[Sequence[Union[str, sqlglot.expressions.Expression]]] = None,\toverwrite: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Insert:", "funcdef": "def"}, "sqlglot.expressions.condition": {"fullname": "sqlglot.expressions.condition", "modulename": "sqlglot.expressions", "qualname": "condition", "kind": "function", "doc": "

Initialize a logical condition expression.

\n\n
Example:
\n\n
\n
\n
>>> condition("x=1").sql()\n'x = 1'\n
\n
\n \n

This is helpful for composing larger logical syntax trees:

\n \n
\n
>>> where = condition("x=1")\n>>> where = where.and_("y=1")\n>>> Select().from_("tbl").select("*").where(where).sql()\n'SELECT * FROM tbl WHERE x = 1 AND y = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
    • \n
  • copy: Whether or not to copy expression (only applies to expressions).
    • \n
  • **opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).
    • \n
\n\n
Returns:
\n\n
\n

The new Condition instance

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.and_": {"fullname": "sqlglot.expressions.and_", "modulename": "sqlglot.expressions", "qualname": "and_", "kind": "function", "doc": "

Combine multiple conditions with an AND logical operator.

\n\n
Example:
\n\n
\n
\n
>>> and_("x=1", and_("y=1", "z=1")).sql()\n'x = 1 AND (y = 1 AND z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy expressions (only applies to Expressions).
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

And: the new condition

\n
\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.or_": {"fullname": "sqlglot.expressions.or_", "modulename": "sqlglot.expressions", "qualname": "or_", "kind": "function", "doc": "

Combine multiple conditions with an OR logical operator.

\n\n
Example:
\n\n
\n
\n
>>> or_("x=1", or_("y=1", "z=1")).sql()\n'x = 1 OR (y = 1 OR z = 1)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • *expressions: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether or not to copy expressions (only applies to Expressions).
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Or: the new condition

\n
\n", "signature": "(\t*expressions: Union[str, sqlglot.expressions.Expression, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Condition:", "funcdef": "def"}, "sqlglot.expressions.not_": {"fullname": "sqlglot.expressions.not_", "modulename": "sqlglot.expressions", "qualname": "not_", "kind": "function", "doc": "

Wrap a condition with a NOT operator.

\n\n
Example:
\n\n
\n
\n
>>> not_("this_suit='black'").sql()\n"NOT this_suit = 'black'"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: whether to copy the expression or not.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

The new condition.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts) -> sqlglot.expressions.Not:", "funcdef": "def"}, "sqlglot.expressions.paren": {"fullname": "sqlglot.expressions.paren", "modulename": "sqlglot.expressions", "qualname": "paren", "kind": "function", "doc": "

Wrap an expression in parentheses.

\n\n
Example:
\n\n
\n
\n
>>> paren("5 + 3").sql()\n'(5 + 3)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • copy: whether to copy the expression or not.
    • \n
\n\n
Returns:
\n\n
\n

The wrapped expression.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tcopy: bool = True) -> sqlglot.expressions.Paren:", "funcdef": "def"}, "sqlglot.expressions.to_identifier": {"fullname": "sqlglot.expressions.to_identifier", "modulename": "sqlglot.expressions", "qualname": "to_identifier", "kind": "function", "doc": "

Builds an identifier.

\n\n
Arguments:
\n\n
    \n
  • name: The name to turn into an identifier.
    • \n
  • quoted: Whether or not force quote the identifier.
    • \n
  • copy: Whether or not to copy a passed in Identefier node.
    • \n
\n\n
Returns:
\n\n
\n

The identifier ast node.

\n
\n", "signature": "(name, quoted=None, copy=True):", "funcdef": "def"}, "sqlglot.expressions.to_interval": {"fullname": "sqlglot.expressions.to_interval", "modulename": "sqlglot.expressions", "qualname": "to_interval", "kind": "function", "doc": "

Builds an interval expression from a string like '1 day' or '5 months'.

\n", "signature": "(\tinterval: str | sqlglot.expressions.Literal) -> sqlglot.expressions.Interval:", "funcdef": "def"}, "sqlglot.expressions.to_table": {"fullname": "sqlglot.expressions.to_table", "modulename": "sqlglot.expressions", "qualname": "to_table", "kind": "function", "doc": "

Create a table expression from a [catalog].[schema].[table] sql path. Catalog and schema are optional.\nIf a table is passed in then that table is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: a [catalog].[schema].[table] string.
    • \n
  • dialect: the source dialect according to which the table name will be parsed.
    • \n
  • kwargs: the kwargs to instantiate the resulting Table expression with.
    • \n
\n\n
Returns:
\n\n
\n

A table expression.

\n
\n", "signature": "(\tsql_path: Union[str, sqlglot.expressions.Table, NoneType],\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> Optional[sqlglot.expressions.Table]:", "funcdef": "def"}, "sqlglot.expressions.to_column": {"fullname": "sqlglot.expressions.to_column", "modulename": "sqlglot.expressions", "qualname": "to_column", "kind": "function", "doc": "

Create a column from a [table].[column] sql path. Schema is optional.

\n\n

If a column is passed in then that column is returned.

\n\n
Arguments:
\n\n
    \n
  • sql_path: [table].[column] string
    • \n
\n\n
Returns:
\n\n
\n

Table: A column expression

\n
\n", "signature": "(\tsql_path: str | sqlglot.expressions.Column,\t**kwargs) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.alias_": {"fullname": "sqlglot.expressions.alias_", "modulename": "sqlglot.expressions", "qualname": "alias_", "kind": "function", "doc": "

Create an Alias expression.

\n\n
Example:
\n\n
\n
\n
>>> alias_('foo', 'bar').sql()\n'foo AS bar'\n
\n
\n \n
\n
>>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()\n'(SELECT 1, 2) AS bar(a, b)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • alias: the alias name to use. If the name has\nspecial characters it is quoted.
    • \n
  • table: Whether or not to create a table alias, can also be a list of columns.
    • \n
  • quoted: whether or not to quote the alias
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • copy: Whether or not to copy the expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

Alias: the aliased expression

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\talias: str | sqlglot.expressions.Identifier,\ttable: Union[bool, Sequence[str | sqlglot.expressions.Identifier]] = False,\tquoted: Optional[bool] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tcopy: bool = True,\t**opts):", "funcdef": "def"}, "sqlglot.expressions.subquery": {"fullname": "sqlglot.expressions.subquery", "modulename": "sqlglot.expressions", "qualname": "subquery", "kind": "function", "doc": "

Build a subquery expression.

\n\n
Example:
\n\n
\n
\n
>>> subquery('select x from tbl', 'bar').select('x').sql()\n'SELECT x FROM (SELECT x FROM tbl) AS bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
    • \n
  • alias: the alias name to use.
    • \n
  • dialect: the dialect used to parse the input expression.
    • \n
  • **opts: other options to use to parse the input expressions.
    • \n
\n\n
Returns:
\n\n
\n

A new Select instance with the subquery expression included.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\talias: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**opts) -> sqlglot.expressions.Select:", "funcdef": "def"}, "sqlglot.expressions.column": {"fullname": "sqlglot.expressions.column", "modulename": "sqlglot.expressions", "qualname": "column", "kind": "function", "doc": "

Build a Column.

\n\n
Arguments:
\n\n
    \n
  • col: Column name.
    • \n
  • table: Table name.
    • \n
  • db: Database name.
    • \n
  • catalog: Catalog name.
    • \n
  • quoted: Whether to force quotes on the column's identifiers.
    • \n
\n\n
Returns:
\n\n
\n

The new Column instance.

\n
\n", "signature": "(\tcol: str | sqlglot.expressions.Identifier,\ttable: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tdb: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tcatalog: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tquoted: Optional[bool] = None) -> sqlglot.expressions.Column:", "funcdef": "def"}, "sqlglot.expressions.cast": {"fullname": "sqlglot.expressions.cast", "modulename": "sqlglot.expressions", "qualname": "cast", "kind": "function", "doc": "

Cast an expression to a data type.

\n\n
Example:
\n\n
\n
\n
>>> cast('x + 1', 'int').sql()\n'CAST(x + 1 AS INT)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to cast.
    • \n
  • to: The datatype to cast to.
    • \n
\n\n
Returns:
\n\n
\n

The new Cast instance.

\n
\n", "signature": "(\texpression: Union[str, sqlglot.expressions.Expression],\tto: str | sqlglot.expressions.DataType | sqlglot.expressions.DataType.Type,\t**opts) -> sqlglot.expressions.Cast:", "funcdef": "def"}, "sqlglot.expressions.table_": {"fullname": "sqlglot.expressions.table_", "modulename": "sqlglot.expressions", "qualname": "table_", "kind": "function", "doc": "

Build a Table.

\n\n
Arguments:
\n\n
    \n
  • table: Table name.
    • \n
  • db: Database name.
    • \n
  • catalog: Catalog name.
    • \n
  • quote: Whether to force quotes on the table's identifiers.
    • \n
  • alias: Table's alias.
    • \n
\n\n
Returns:
\n\n
\n

The new Table instance.

\n
\n", "signature": "(\ttable: sqlglot.expressions.Identifier | str,\tdb: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tcatalog: Union[sqlglot.expressions.Identifier, str, NoneType] = None,\tquoted: Optional[bool] = None,\talias: Union[sqlglot.expressions.Identifier, str, NoneType] = None) -> sqlglot.expressions.Table:", "funcdef": "def"}, "sqlglot.expressions.values": {"fullname": "sqlglot.expressions.values", "modulename": "sqlglot.expressions", "qualname": "values", "kind": "function", "doc": "

Build VALUES statement.

\n\n
Example:
\n\n
\n
\n
>>> values([(1, '2')]).sql()\n"VALUES (1, '2')"\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: values statements that will be converted to SQL
    • \n
  • alias: optional alias
    • \n
  • columns: Optional list of ordered column names or ordered dictionary of column names to types.\nIf either are provided then an alias is also required.
    • \n
\n\n
Returns:
\n\n
\n

Values: the Values expression object

\n
\n", "signature": "(\tvalues: Iterable[Tuple[Any, ...]],\talias: Optional[str] = None,\tcolumns: Union[Iterable[str], Dict[str, sqlglot.expressions.DataType], NoneType] = None) -> sqlglot.expressions.Values:", "funcdef": "def"}, "sqlglot.expressions.var": {"fullname": "sqlglot.expressions.var", "modulename": "sqlglot.expressions", "qualname": "var", "kind": "function", "doc": "

Build a SQL variable.

\n\n
Example:
\n\n
\n
\n
>>> repr(var('x'))\n'(VAR this: x)'\n
\n
\n \n
\n
>>> repr(var(column('x', table='y')))\n'(VAR this: x)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: The name of the var or an expression who's name will become the var.
    • \n
\n\n
Returns:
\n\n
\n

The new variable node.

\n
\n", "signature": "(\tname: Union[str, sqlglot.expressions.Expression, NoneType]) -> sqlglot.expressions.Var:", "funcdef": "def"}, "sqlglot.expressions.rename_table": {"fullname": "sqlglot.expressions.rename_table", "modulename": "sqlglot.expressions", "qualname": "rename_table", "kind": "function", "doc": "

Build ALTER TABLE... RENAME... expression

\n\n
Arguments:
\n\n
    \n
  • old_name: The old name of the table
    • \n
  • new_name: The new name of the table
    • \n
\n\n
Returns:
\n\n
\n

Alter table expression

\n
\n", "signature": "(\told_name: str | sqlglot.expressions.Table,\tnew_name: str | sqlglot.expressions.Table) -> sqlglot.expressions.AlterTable:", "funcdef": "def"}, "sqlglot.expressions.convert": {"fullname": "sqlglot.expressions.convert", "modulename": "sqlglot.expressions", "qualname": "convert", "kind": "function", "doc": "

Convert a python value into an expression object.

\n\n

Raises an error if a conversion is not possible.

\n\n
Arguments:
\n\n
    \n
  • value: A python object.
    • \n
  • copy: Whether or not to copy value (only applies to Expressions and collections).
    • \n
\n\n
Returns:
\n\n
\n

Expression: the equivalent expression object.

\n
\n", "signature": "(value: Any, copy: bool = False) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.replace_children": {"fullname": "sqlglot.expressions.replace_children", "modulename": "sqlglot.expressions", "qualname": "replace_children", "kind": "function", "doc": "

Replace children of an expression with the result of a lambda fun(child) -> exp.

\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tfun: Callable,\t*args,\t**kwargs) -> None:", "funcdef": "def"}, "sqlglot.expressions.column_table_names": {"fullname": "sqlglot.expressions.column_table_names", "modulename": "sqlglot.expressions", "qualname": "column_table_names", "kind": "function", "doc": "

Return all table names referenced through columns in an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sorted(column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e")))\n['a', 'c']\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to find table names.
    • \n
  • exclude: a table name to exclude
    • \n
\n\n
Returns:
\n\n
\n

A list of unique names.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\texclude: str = '') -> Set[str]:", "funcdef": "def"}, "sqlglot.expressions.table_name": {"fullname": "sqlglot.expressions.table_name", "modulename": "sqlglot.expressions", "qualname": "table_name", "kind": "function", "doc": "

Get the full name of a table as a string.

\n\n
Arguments:
\n\n
    \n
  • table: table expression node or string.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> table_name(parse_one("select * from a.b.c").find(exp.Table))\n'a.b.c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The table name.

\n
\n", "signature": "(table: sqlglot.expressions.Table | str) -> str:", "funcdef": "def"}, "sqlglot.expressions.replace_tables": {"fullname": "sqlglot.expressions.replace_tables", "modulename": "sqlglot.expressions", "qualname": "replace_tables", "kind": "function", "doc": "

Replace all tables in expression according to the mapping.

\n\n
Arguments:
\n\n
    \n
  • expression: expression node to be transformed and replaced.
    • \n
  • mapping: mapping of table names.
    • \n
  • copy: whether or not to copy the expression.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()\n'SELECT * FROM c'\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(expression: ~E, mapping: Dict[str, str], copy: bool = True) -> ~E:", "funcdef": "def"}, "sqlglot.expressions.replace_placeholders": {"fullname": "sqlglot.expressions.replace_placeholders", "modulename": "sqlglot.expressions", "qualname": "replace_placeholders", "kind": "function", "doc": "

Replace placeholders in an expression.

\n\n
Arguments:
\n\n
    \n
  • expression: expression node to be transformed and replaced.
    • \n
  • args: positional names that will substitute unnamed placeholders in the given order.
    • \n
  • kwargs: keyword arguments that will substitute named placeholders.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import exp, parse_one\n>>> replace_placeholders(\n...     parse_one("select * from :tbl where ? = ?"),\n...     exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo")\n... ).sql()\n"SELECT * FROM foo WHERE str_col = 'b'"\n
\n
\n
\n\n
Returns:
\n\n
\n

The mapped expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\t*args,\t**kwargs) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.expand": {"fullname": "sqlglot.expressions.expand", "modulename": "sqlglot.expressions", "qualname": "expand", "kind": "function", "doc": "

Transforms an expression by expanding all referenced sources into subqueries.

\n\n
Examples:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()\n'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'\n
\n
\n \n
\n
>>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql()\n'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to expand.
    • \n
  • sources: A dictionary of name to Subqueryables.
    • \n
  • copy: Whether or not to copy the expression during transformation. Defaults to True.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tsources: Dict[str, sqlglot.expressions.Subqueryable],\tcopy: bool = True) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.expressions.func": {"fullname": "sqlglot.expressions.func", "modulename": "sqlglot.expressions", "qualname": "func", "kind": "function", "doc": "

Returns a Func expression.

\n\n
Examples:
\n\n
\n
\n
>>> func("abs", 5).sql()\n'ABS(5)'\n
\n
\n \n
\n
>>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()\n'CAST(5 AS DOUBLE)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • name: the name of the function to build.
    • \n
  • args: the args used to instantiate the function of interest.
    • \n
  • dialect: the source dialect.
    • \n
  • kwargs: the kwargs used to instantiate the function of interest.
    • \n
\n\n
Note:
\n\n
\n

The arguments args and kwargs are mutually exclusive.

\n
\n\n
Returns:
\n\n
\n

An instance of the function of interest, or an anonymous function, if name doesn't\n correspond to an existing sqlglot.expressions.Func class.

\n
\n", "signature": "(\tname: str,\t*args,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.expressions.Func:", "funcdef": "def"}, "sqlglot.expressions.true": {"fullname": "sqlglot.expressions.true", "modulename": "sqlglot.expressions", "qualname": "true", "kind": "function", "doc": "

Returns a true Boolean expression.

\n", "signature": "() -> sqlglot.expressions.Boolean:", "funcdef": "def"}, "sqlglot.expressions.false": {"fullname": "sqlglot.expressions.false", "modulename": "sqlglot.expressions", "qualname": "false", "kind": "function", "doc": "

Returns a false Boolean expression.

\n", "signature": "() -> sqlglot.expressions.Boolean:", "funcdef": "def"}, "sqlglot.expressions.null": {"fullname": "sqlglot.expressions.null", "modulename": "sqlglot.expressions", "qualname": "null", "kind": "function", "doc": "

Returns a Null expression.

\n", "signature": "() -> sqlglot.expressions.Null:", "funcdef": "def"}, "sqlglot.generator": {"fullname": "sqlglot.generator", "modulename": "sqlglot.generator", "kind": "module", "doc": "

\n"}, "sqlglot.generator.Generator": {"fullname": "sqlglot.generator.Generator", "modulename": "sqlglot.generator", "qualname": "Generator", "kind": "class", "doc": "

Generator converts a given syntax tree to the corresponding SQL string.

\n\n
Arguments:
\n\n
    \n
  • pretty: Whether or not to format the produced SQL string.\nDefault: False.
    • \n
  • identify: Determines when an identifier should be quoted. Possible values are:\nFalse (default): Never quote, except in cases where it's mandatory by the dialect.\nTrue or 'always': Always quote.\n'safe': Only quote identifiers that are case insensitive.
    • \n
  • normalize: Whether or not to normalize identifiers to lowercase.\nDefault: False.
    • \n
  • pad: Determines the pad size in a formatted string.\nDefault: 2.
    • \n
  • indent: Determines the indentation size in a formatted string.\nDefault: 2.
    • \n
  • normalize_functions: Whether or not to normalize all function names. Possible values are:\n\"upper\" or True (default): Convert names to uppercase.\n\"lower\": Convert names to lowercase.\nFalse: Disables function name normalization.
    • \n
  • unsupported_level: Determines the generator's behavior when it encounters unsupported expressions.\nDefault ErrorLevel.WARN.
    • \n
  • max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
  • leading_comma: Determines whether or not the comma is leading or trailing in select expressions.\nThis is only relevant when generating in pretty mode.\nDefault: False
    • \n
  • max_text_width: The max number of characters in a segment before creating new lines in pretty mode.\nThe default is on the smaller end because the length only represents a segment and not the true\nline length.\nDefault: 80
    • \n
  • comments: Whether or not to preserve comments in the output SQL code.\nDefault: True
    • \n
\n"}, "sqlglot.generator.Generator.__init__": {"fullname": "sqlglot.generator.Generator.__init__", "modulename": "sqlglot.generator", "qualname": "Generator.__init__", "kind": "function", "doc": "

\n", "signature": "(\tpretty: Optional[bool] = None,\tidentify: str | bool = False,\tnormalize: bool = False,\tpad: int = 2,\tindent: int = 2,\tnormalize_functions: Union[str, bool, NoneType] = None,\tunsupported_level: sqlglot.errors.ErrorLevel = <ErrorLevel.WARN: 'WARN'>,\tmax_unsupported: int = 3,\tleading_comma: bool = False,\tmax_text_width: int = 80,\tcomments: bool = True)"}, "sqlglot.generator.Generator.can_identify": {"fullname": "sqlglot.generator.Generator.can_identify", "modulename": "sqlglot.generator", "qualname": "Generator.can_identify", "kind": "function", "doc": "

Checks if text can be identified given an identify option.

\n\n
Arguments:
\n\n
    \n
  • text: The text to check.
    • \n
  • identify: \"always\" or True: Always returns true.\n\"safe\": True if the identifier is case-insensitive.
    • \n
\n\n
Returns:
\n\n
\n

Whether or not the given text can be identified.

\n
\n", "signature": "(text: str, identify: str | bool = 'safe') -> bool:", "funcdef": "def"}, "sqlglot.generator.Generator.generate": {"fullname": "sqlglot.generator.Generator.generate", "modulename": "sqlglot.generator", "qualname": "Generator.generate", "kind": "function", "doc": "

Generates the SQL string corresponding to the given syntax tree.

\n\n
Arguments:
\n\n
    \n
  • expression: The syntax tree.
    • \n
  • cache: An optional sql string cache. This leverages the hash of an Expression\nwhich can be slow to compute, so only use it if you set _hash on each node.
    • \n
\n\n
Returns:
\n\n
\n

The SQL string corresponding to expression.

\n
\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression],\tcache: Optional[Dict[int, str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.unsupported": {"fullname": "sqlglot.generator.Generator.unsupported", "modulename": "sqlglot.generator", "qualname": "Generator.unsupported", "kind": "function", "doc": "

\n", "signature": "(self, message: str) -> None:", "funcdef": "def"}, "sqlglot.generator.Generator.sep": {"fullname": "sqlglot.generator.Generator.sep", "modulename": "sqlglot.generator", "qualname": "Generator.sep", "kind": "function", "doc": "

\n", "signature": "(self, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.seg": {"fullname": "sqlglot.generator.Generator.seg", "modulename": "sqlglot.generator", "qualname": "Generator.seg", "kind": "function", "doc": "

\n", "signature": "(self, sql: str, sep: str = ' ') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.pad_comment": {"fullname": "sqlglot.generator.Generator.pad_comment", "modulename": "sqlglot.generator", "qualname": "Generator.pad_comment", "kind": "function", "doc": "

\n", "signature": "(self, comment: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.maybe_comment": {"fullname": "sqlglot.generator.Generator.maybe_comment", "modulename": "sqlglot.generator", "qualname": "Generator.maybe_comment", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsql: str,\texpression: Optional[sqlglot.expressions.Expression] = None,\tcomments: Optional[List[str]] = None) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.wrap": {"fullname": "sqlglot.generator.Generator.wrap", "modulename": "sqlglot.generator", "qualname": "Generator.wrap", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression | str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.no_identify": {"fullname": "sqlglot.generator.Generator.no_identify", "modulename": "sqlglot.generator", "qualname": "Generator.no_identify", "kind": "function", "doc": "

\n", "signature": "(self, func: Callable[..., str], *args, **kwargs) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.normalize_func": {"fullname": "sqlglot.generator.Generator.normalize_func", "modulename": "sqlglot.generator", "qualname": "Generator.normalize_func", "kind": "function", "doc": "

\n", "signature": "(self, name: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.indent": {"fullname": "sqlglot.generator.Generator.indent", "modulename": "sqlglot.generator", "qualname": "Generator.indent", "kind": "function", "doc": "

\n", "signature": "(\tself,\tsql: str,\tlevel: int = 0,\tpad: Optional[int] = None,\tskip_first: bool = False,\tskip_last: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sql": {"fullname": "sqlglot.generator.Generator.sql", "modulename": "sqlglot.generator", "qualname": "Generator.sql", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Union[str, sqlglot.expressions.Expression, NoneType],\tkey: Optional[str] = None,\tcomment: bool = True) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.uncache_sql": {"fullname": "sqlglot.generator.Generator.uncache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.uncache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Uncache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.cache_sql": {"fullname": "sqlglot.generator.Generator.cache_sql", "modulename": "sqlglot.generator", "qualname": "Generator.cache_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Cache) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.characterset_sql": {"fullname": "sqlglot.generator.Generator.characterset_sql", "modulename": "sqlglot.generator", "qualname": "Generator.characterset_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.CharacterSet) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.column_sql": {"fullname": "sqlglot.generator.Generator.column_sql", "modulename": "sqlglot.generator", "qualname": "Generator.column_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Column) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columnposition_sql": {"fullname": "sqlglot.generator.Generator.columnposition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columnposition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ColumnPosition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.columndef_sql": {"fullname": "sqlglot.generator.Generator.columndef_sql", "modulename": "sqlglot.generator", "qualname": "Generator.columndef_sql", "kind": "function", "doc": "

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\n", "signature": "(self, expression: sqlglot.expressions.Commit) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.rollback_sql": {"fullname": "sqlglot.generator.Generator.rollback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.rollback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Rollback) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.altercolumn_sql": {"fullname": "sqlglot.generator.Generator.altercolumn_sql", "modulename": "sqlglot.generator", "qualname": "Generator.altercolumn_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AlterColumn) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.renametable_sql": {"fullname": "sqlglot.generator.Generator.renametable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.renametable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RenameTable) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.altertable_sql": {"fullname": "sqlglot.generator.Generator.altertable_sql", "modulename": "sqlglot.generator", "qualname": "Generator.altertable_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AlterTable) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.droppartition_sql": {"fullname": "sqlglot.generator.Generator.droppartition_sql", "modulename": "sqlglot.generator", "qualname": "Generator.droppartition_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DropPartition) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.addconstraint_sql": {"fullname": "sqlglot.generator.Generator.addconstraint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.addconstraint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.AddConstraint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distinct_sql": {"fullname": "sqlglot.generator.Generator.distinct_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distinct_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distinct) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ignorenulls_sql": {"fullname": "sqlglot.generator.Generator.ignorenulls_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ignorenulls_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IgnoreNulls) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.respectnulls_sql": {"fullname": "sqlglot.generator.Generator.respectnulls_sql", "modulename": "sqlglot.generator", "qualname": "Generator.respectnulls_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.RespectNulls) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.intdiv_sql": {"fullname": "sqlglot.generator.Generator.intdiv_sql", "modulename": "sqlglot.generator", "qualname": "Generator.intdiv_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.IntDiv) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dpipe_sql": {"fullname": "sqlglot.generator.Generator.dpipe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dpipe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DPipe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.safedpipe_sql": {"fullname": "sqlglot.generator.Generator.safedpipe_sql", "modulename": "sqlglot.generator", "qualname": "Generator.safedpipe_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SafeDPipe) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.div_sql": {"fullname": "sqlglot.generator.Generator.div_sql", "modulename": "sqlglot.generator", "qualname": "Generator.div_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Div) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.overlaps_sql": {"fullname": "sqlglot.generator.Generator.overlaps_sql", "modulename": "sqlglot.generator", "qualname": "Generator.overlaps_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Overlaps) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.distance_sql": {"fullname": "sqlglot.generator.Generator.distance_sql", "modulename": "sqlglot.generator", "qualname": "Generator.distance_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Distance) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dot_sql": {"fullname": "sqlglot.generator.Generator.dot_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dot_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Dot) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.eq_sql": {"fullname": "sqlglot.generator.Generator.eq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.eq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.EQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.escape_sql": {"fullname": "sqlglot.generator.Generator.escape_sql", "modulename": "sqlglot.generator", "qualname": "Generator.escape_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Escape) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.glob_sql": {"fullname": "sqlglot.generator.Generator.glob_sql", "modulename": "sqlglot.generator", "qualname": "Generator.glob_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Glob) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.gt_sql": {"fullname": "sqlglot.generator.Generator.gt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.gt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.gte_sql": {"fullname": "sqlglot.generator.Generator.gte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.gte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.GTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ilike_sql": {"fullname": "sqlglot.generator.Generator.ilike_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ilike_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ILike) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.ilikeany_sql": {"fullname": "sqlglot.generator.Generator.ilikeany_sql", "modulename": "sqlglot.generator", "qualname": "Generator.ilikeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ILikeAny) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.is_sql": {"fullname": "sqlglot.generator.Generator.is_sql", "modulename": "sqlglot.generator", "qualname": "Generator.is_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Is) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.like_sql": {"fullname": "sqlglot.generator.Generator.like_sql", "modulename": "sqlglot.generator", "qualname": "Generator.like_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Like) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.likeany_sql": {"fullname": "sqlglot.generator.Generator.likeany_sql", "modulename": "sqlglot.generator", "qualname": "Generator.likeany_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LikeAny) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.similarto_sql": {"fullname": "sqlglot.generator.Generator.similarto_sql", "modulename": "sqlglot.generator", "qualname": "Generator.similarto_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.SimilarTo) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lt_sql": {"fullname": "sqlglot.generator.Generator.lt_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lt_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LT) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.lte_sql": {"fullname": "sqlglot.generator.Generator.lte_sql", "modulename": "sqlglot.generator", "qualname": "Generator.lte_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.LTE) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mod_sql": {"fullname": "sqlglot.generator.Generator.mod_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mod_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mod) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.mul_sql": {"fullname": "sqlglot.generator.Generator.mul_sql", "modulename": "sqlglot.generator", "qualname": "Generator.mul_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Mul) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.neq_sql": {"fullname": "sqlglot.generator.Generator.neq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.neq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeeq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeeq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeeq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.nullsafeneq_sql": {"fullname": "sqlglot.generator.Generator.nullsafeneq_sql", "modulename": "sqlglot.generator", "qualname": "Generator.nullsafeneq_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.NullSafeNEQ) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.or_sql": {"fullname": "sqlglot.generator.Generator.or_sql", "modulename": "sqlglot.generator", "qualname": "Generator.or_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Or) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.slice_sql": {"fullname": "sqlglot.generator.Generator.slice_sql", "modulename": "sqlglot.generator", "qualname": "Generator.slice_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Slice) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.sub_sql": {"fullname": "sqlglot.generator.Generator.sub_sql", "modulename": "sqlglot.generator", "qualname": "Generator.sub_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Sub) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.trycast_sql": {"fullname": "sqlglot.generator.Generator.trycast_sql", "modulename": "sqlglot.generator", "qualname": "Generator.trycast_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.TryCast) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.use_sql": {"fullname": "sqlglot.generator.Generator.use_sql", "modulename": "sqlglot.generator", "qualname": "Generator.use_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Use) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.binary": {"fullname": "sqlglot.generator.Generator.binary", "modulename": "sqlglot.generator", "qualname": "Generator.binary", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Binary, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.function_fallback_sql": {"fullname": "sqlglot.generator.Generator.function_fallback_sql", "modulename": "sqlglot.generator", "qualname": "Generator.function_fallback_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Func) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.func": {"fullname": "sqlglot.generator.Generator.func", "modulename": "sqlglot.generator", "qualname": "Generator.func", "kind": "function", "doc": "

\n", "signature": "(\tself,\tname: str,\t*args: Union[str, sqlglot.expressions.Expression, NoneType],\tprefix: str = '(',\tsuffix: str = ')') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.format_args": {"fullname": "sqlglot.generator.Generator.format_args", "modulename": "sqlglot.generator", "qualname": "Generator.format_args", "kind": "function", "doc": "

\n", "signature": "(self, *args: Union[str, sqlglot.expressions.Expression, NoneType]) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.text_width": {"fullname": "sqlglot.generator.Generator.text_width", "modulename": "sqlglot.generator", "qualname": "Generator.text_width", "kind": "function", "doc": "

\n", "signature": "(self, args: Iterable) -> int:", "funcdef": "def"}, "sqlglot.generator.Generator.format_time": {"fullname": "sqlglot.generator.Generator.format_time", "modulename": "sqlglot.generator", "qualname": "Generator.format_time", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression) -> Optional[str]:", "funcdef": "def"}, "sqlglot.generator.Generator.expressions": {"fullname": "sqlglot.generator.Generator.expressions", "modulename": "sqlglot.generator", "qualname": "Generator.expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\texpression: Optional[sqlglot.expressions.Expression] = None,\tkey: Optional[str] = None,\tsqls: Optional[List[str]] = None,\tflat: bool = False,\tindent: bool = True,\tsep: str = ', ',\tprefix: str = '') -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.op_expressions": {"fullname": "sqlglot.generator.Generator.op_expressions", "modulename": "sqlglot.generator", "qualname": "Generator.op_expressions", "kind": "function", "doc": "

\n", "signature": "(\tself,\top: str,\texpression: sqlglot.expressions.Expression,\tflat: bool = False) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.naked_property": {"fullname": "sqlglot.generator.Generator.naked_property", "modulename": "sqlglot.generator", "qualname": "Generator.naked_property", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Property) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.set_operation": {"fullname": "sqlglot.generator.Generator.set_operation", "modulename": "sqlglot.generator", "qualname": "Generator.set_operation", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Expression, op: str) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tag_sql": {"fullname": "sqlglot.generator.Generator.tag_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tag_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Tag) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.token_sql": {"fullname": "sqlglot.generator.Generator.token_sql", "modulename": "sqlglot.generator", "qualname": "Generator.token_sql", "kind": "function", "doc": "

\n", "signature": "(self, token_type: sqlglot.tokens.TokenType) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.userdefinedfunction_sql": {"fullname": "sqlglot.generator.Generator.userdefinedfunction_sql", "modulename": "sqlglot.generator", "qualname": "Generator.userdefinedfunction_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.UserDefinedFunction) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.joinhint_sql": {"fullname": "sqlglot.generator.Generator.joinhint_sql", "modulename": "sqlglot.generator", "qualname": "Generator.joinhint_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.JoinHint) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.kwarg_sql": {"fullname": "sqlglot.generator.Generator.kwarg_sql", "modulename": "sqlglot.generator", "qualname": "Generator.kwarg_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Kwarg) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.when_sql": {"fullname": "sqlglot.generator.Generator.when_sql", "modulename": "sqlglot.generator", "qualname": "Generator.when_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.When) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.merge_sql": {"fullname": "sqlglot.generator.Generator.merge_sql", "modulename": "sqlglot.generator", "qualname": "Generator.merge_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Merge) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.tochar_sql": {"fullname": "sqlglot.generator.Generator.tochar_sql", "modulename": "sqlglot.generator", "qualname": "Generator.tochar_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.ToChar) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dictproperty_sql": {"fullname": "sqlglot.generator.Generator.dictproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dictproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DictProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dictrange_sql": {"fullname": "sqlglot.generator.Generator.dictrange_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dictrange_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DictRange) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.dictsubproperty_sql": {"fullname": "sqlglot.generator.Generator.dictsubproperty_sql", "modulename": "sqlglot.generator", "qualname": "Generator.dictsubproperty_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.DictSubProperty) -> str:", "funcdef": "def"}, "sqlglot.generator.Generator.oncluster_sql": {"fullname": "sqlglot.generator.Generator.oncluster_sql", "modulename": "sqlglot.generator", "qualname": "Generator.oncluster_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.OnCluster) -> str:", "funcdef": "def"}, "sqlglot.generator.cached_generator": {"fullname": "sqlglot.generator.cached_generator", "modulename": "sqlglot.generator", "qualname": "cached_generator", "kind": "function", "doc": "

Returns a cached generator.

\n", "signature": "(\tcache: Optional[Dict[int, str]] = None) -> Callable[[sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.helper": {"fullname": "sqlglot.helper", "modulename": "sqlglot.helper", "kind": "module", "doc": "

\n"}, "sqlglot.helper.AutoName": {"fullname": "sqlglot.helper.AutoName", "modulename": "sqlglot.helper", "qualname": "AutoName", "kind": "class", "doc": "

This is used for creating enum classes where auto() is the string form of the corresponding value's name.

\n", "bases": "enum.Enum"}, "sqlglot.helper.seq_get": {"fullname": "sqlglot.helper.seq_get", "modulename": "sqlglot.helper", "qualname": "seq_get", "kind": "function", "doc": "

Returns the value in seq at position index, or None if index is out of bounds.

\n", "signature": "(seq: Sequence[~T], index: int) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.helper.ensure_list": {"fullname": "sqlglot.helper.ensure_list", "modulename": "sqlglot.helper", "qualname": "ensure_list", "kind": "function", "doc": "

Ensures that a value is a list, otherwise casts or wraps it into one.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
    • \n
\n\n
Returns:
\n\n
\n

The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.ensure_collection": {"fullname": "sqlglot.helper.ensure_collection", "modulename": "sqlglot.helper", "qualname": "ensure_collection", "kind": "function", "doc": "

Ensures that a value is a collection (excluding str and bytes), otherwise wraps it into a list.

\n\n
Arguments:
\n\n
    \n
  • value: the value of interest.
    • \n
\n\n
Returns:
\n\n
\n

The value if it's a collection, or else the value wrapped in a list.

\n
\n", "signature": "(value):", "funcdef": "def"}, "sqlglot.helper.csv": {"fullname": "sqlglot.helper.csv", "modulename": "sqlglot.helper", "qualname": "csv", "kind": "function", "doc": "

Formats any number of string arguments as CSV.

\n\n
Arguments:
\n\n
    \n
  • args: the string arguments to format.
    • \n
  • sep: the argument separator.
    • \n
\n\n
Returns:
\n\n
\n

The arguments formatted as a CSV string.

\n
\n", "signature": "(*args: str, sep: str = ', ') -> str:", "funcdef": "def"}, "sqlglot.helper.subclasses": {"fullname": "sqlglot.helper.subclasses", "modulename": "sqlglot.helper", "qualname": "subclasses", "kind": "function", "doc": "

Returns all subclasses for a collection of classes, possibly excluding some of them.

\n\n
Arguments:
\n\n
    \n
  • module_name: the name of the module to search for subclasses in.
    • \n
  • classes: class(es) we want to find the subclasses of.
    • \n
  • exclude: class(es) we want to exclude from the returned list.
    • \n
\n\n
Returns:
\n\n
\n

The target subclasses.

\n
\n", "signature": "(\tmodule_name: str,\tclasses: Union[Type, Tuple[Type, ...]],\texclude: Union[Type, Tuple[Type, ...]] = ()) -> List[Type]:", "funcdef": "def"}, "sqlglot.helper.apply_index_offset": {"fullname": "sqlglot.helper.apply_index_offset", "modulename": "sqlglot.helper", "qualname": "apply_index_offset", "kind": "function", "doc": "

Applies an offset to a given integer literal expression.

\n\n
Arguments:
\n\n
    \n
  • this: the target of the index
    • \n
  • expressions: the expression the offset will be applied to, wrapped in a list.
    • \n
  • offset: the offset that will be applied.
    • \n
\n\n
Returns:
\n\n
\n

The original expression with the offset applied to it, wrapped in a list. If the provided\n expressions argument contains more than one expressions, it's returned unaffected.

\n
\n", "signature": "(\tthis: sqlglot.expressions.Expression,\texpressions: List[Optional[~E]],\toffset: int) -> List[Optional[~E]]:", "funcdef": "def"}, "sqlglot.helper.camel_to_snake_case": {"fullname": "sqlglot.helper.camel_to_snake_case", "modulename": "sqlglot.helper", "qualname": "camel_to_snake_case", "kind": "function", "doc": "

Converts name from camelCase to snake_case and returns the result.

\n", "signature": "(name: str) -> str:", "funcdef": "def"}, "sqlglot.helper.while_changing": {"fullname": "sqlglot.helper.while_changing", "modulename": "sqlglot.helper", "qualname": "while_changing", "kind": "function", "doc": "

Applies a transformation to a given expression until a fix point is reached.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression to be transformed.
    • \n
  • func: the transformation to be applied.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tfunc: Callable[[sqlglot.expressions.Expression], ~E]) -> ~E:", "funcdef": "def"}, "sqlglot.helper.tsort": {"fullname": "sqlglot.helper.tsort", "modulename": "sqlglot.helper", "qualname": "tsort", "kind": "function", "doc": "

Sorts a given directed acyclic graph in topological order.

\n\n
Arguments:
\n\n
    \n
  • dag: the graph to be sorted.
    • \n
\n\n
Returns:
\n\n
\n

A list that contains all of the graph's nodes in topological order.

\n
\n", "signature": "(dag: Dict[~T, Set[~T]]) -> List[~T]:", "funcdef": "def"}, "sqlglot.helper.open_file": {"fullname": "sqlglot.helper.open_file", "modulename": "sqlglot.helper", "qualname": "open_file", "kind": "function", "doc": "

Open a file that may be compressed as gzip and return it in universal newline mode.

\n", "signature": "(file_name: str) -> <class 'TextIO'>:", "funcdef": "def"}, "sqlglot.helper.csv_reader": {"fullname": "sqlglot.helper.csv_reader", "modulename": "sqlglot.helper", "qualname": "csv_reader", "kind": "function", "doc": "

Returns a csv reader given the expression READ_CSV(name, ['delimiter', '|', ...]).

\n\n
Arguments:
\n\n
    \n
  • read_csv: a ReadCSV function call
    • \n
\n\n
Yields:
\n\n
\n

A python csv reader.

\n
\n", "signature": "(read_csv: sqlglot.expressions.ReadCSV) -> Any:", "funcdef": "def"}, "sqlglot.helper.find_new_name": {"fullname": "sqlglot.helper.find_new_name", "modulename": "sqlglot.helper", "qualname": "find_new_name", "kind": "function", "doc": "

Searches for a new name.

\n\n
Arguments:
\n\n
    \n
  • taken: a collection of taken names.
    • \n
  • base: base name to alter.
    • \n
\n\n
Returns:
\n\n
\n

The new, available name.

\n
\n", "signature": "(taken: Collection[str], base: str) -> str:", "funcdef": "def"}, "sqlglot.helper.name_sequence": {"fullname": "sqlglot.helper.name_sequence", "modulename": "sqlglot.helper", "qualname": "name_sequence", "kind": "function", "doc": "

Returns a name generator given a prefix (e.g. a0, a1, a2, ... if the prefix is \"a\").

\n", "signature": "(prefix: str) -> Callable[[], str]:", "funcdef": "def"}, "sqlglot.helper.object_to_dict": {"fullname": "sqlglot.helper.object_to_dict", "modulename": "sqlglot.helper", "qualname": "object_to_dict", "kind": "function", "doc": "

Returns a dictionary created from an object's attributes.

\n", "signature": "(obj: Any, **kwargs) -> Dict:", "funcdef": "def"}, "sqlglot.helper.split_num_words": {"fullname": "sqlglot.helper.split_num_words", "modulename": "sqlglot.helper", "qualname": "split_num_words", "kind": "function", "doc": "

Perform a split on a value and return N words as a result with None used for words that don't exist.

\n\n
Arguments:
\n\n
    \n
  • value: the value to be split.
    • \n
  • sep: the value to use to split on.
    • \n
  • min_num_words: the minimum number of words that are going to be in the result.
    • \n
  • fill_from_start: indicates that if None values should be inserted at the start or end of the list.
    • \n
\n\n
Examples:
\n\n
\n
\n
>>> split_num_words("db.table", ".", 3)\n[None, 'db', 'table']\n>>> split_num_words("db.table", ".", 3, fill_from_start=False)\n['db', 'table', None]\n>>> split_num_words("db.table", ".", 1)\n['db', 'table']\n
\n
\n
\n\n
Returns:
\n\n
\n

The list of words returned by split, possibly augmented by a number of None values.

\n
\n", "signature": "(\tvalue: str,\tsep: str,\tmin_num_words: int,\tfill_from_start: bool = True) -> List[Optional[str]]:", "funcdef": "def"}, "sqlglot.helper.is_iterable": {"fullname": "sqlglot.helper.is_iterable", "modulename": "sqlglot.helper", "qualname": "is_iterable", "kind": "function", "doc": "

Checks if the value is an iterable, excluding the types str and bytes.

\n\n
Examples:
\n\n
\n
\n
>>> is_iterable([1,2])\nTrue\n>>> is_iterable("test")\nFalse\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • value: the value to check if it is an iterable.
    • \n
\n\n
Returns:
\n\n
\n

A bool value indicating if it is an iterable.

\n
\n", "signature": "(value: Any) -> bool:", "funcdef": "def"}, "sqlglot.helper.flatten": {"fullname": "sqlglot.helper.flatten", "modulename": "sqlglot.helper", "qualname": "flatten", "kind": "function", "doc": "

Flattens an iterable that can contain both iterable and non-iterable elements. Objects of\ntype str and bytes are not regarded as iterables.

\n\n
Examples:
\n\n
\n
\n
>>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))\n[1, 2, 3, 4, 5, 'bla']\n>>> list(flatten([1, 2, 3]))\n[1, 2, 3]\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • values: the value to be flattened.
    • \n
\n\n
Yields:
\n\n
\n

Non-iterable elements in values.

\n
\n", "signature": "(values: Iterable[Union[Iterable[Any], Any]]) -> Iterator[Any]:", "funcdef": "def"}, "sqlglot.helper.dict_depth": {"fullname": "sqlglot.helper.dict_depth", "modulename": "sqlglot.helper", "qualname": "dict_depth", "kind": "function", "doc": "

Get the nesting depth of a dictionary.

\n\n
For example:
\n\n
\n
\n
>>> dict_depth(None)\n0\n>>> dict_depth({})\n1\n>>> dict_depth({"a": "b"})\n1\n>>> dict_depth({"a": {}})\n2\n>>> dict_depth({"a": {"b": {}}})\n3\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • d (dict): dictionary
    • \n
\n\n
Returns:
\n\n
\n

int: depth

\n
\n", "signature": "(d: Dict) -> int:", "funcdef": "def"}, "sqlglot.helper.first": {"fullname": "sqlglot.helper.first", "modulename": "sqlglot.helper", "qualname": "first", "kind": "function", "doc": "

Returns the first element from an iterable.

\n\n

Useful for sets.

\n", "signature": "(it: Iterable[~T]) -> ~T:", "funcdef": "def"}, "sqlglot.lineage": {"fullname": "sqlglot.lineage", "modulename": "sqlglot.lineage", "kind": "module", "doc": "

\n"}, "sqlglot.lineage.Node": {"fullname": "sqlglot.lineage.Node", "modulename": "sqlglot.lineage", "qualname": "Node", "kind": "class", "doc": "

\n"}, "sqlglot.lineage.Node.__init__": {"fullname": "sqlglot.lineage.Node.__init__", "modulename": "sqlglot.lineage", "qualname": "Node.__init__", "kind": "function", "doc": "

\n", "signature": "(\tname: str,\texpression: sqlglot.expressions.Expression,\tsource: sqlglot.expressions.Expression,\tdownstream: List[sqlglot.lineage.Node] = <factory>,\talias: str = '')"}, "sqlglot.lineage.Node.walk": {"fullname": "sqlglot.lineage.Node.walk", "modulename": "sqlglot.lineage", "qualname": "Node.walk", "kind": "function", "doc": "

\n", "signature": "(self) -> Iterator[sqlglot.lineage.Node]:", "funcdef": "def"}, "sqlglot.lineage.Node.to_html": {"fullname": "sqlglot.lineage.Node.to_html", "modulename": "sqlglot.lineage", "qualname": "Node.to_html", "kind": "function", "doc": "

\n", "signature": "(self, **opts) -> sqlglot.lineage.LineageHTML:", "funcdef": "def"}, "sqlglot.lineage.lineage": {"fullname": "sqlglot.lineage.lineage", "modulename": "sqlglot.lineage", "qualname": "lineage", "kind": "function", "doc": "

Build the lineage graph for a column of a SQL query.

\n\n
Arguments:
\n\n
    \n
  • column: The column to build the lineage for.
    • \n
  • sql: The SQL string or expression.
    • \n
  • schema: The schema of tables.
    • \n
  • sources: A mapping of queries which will be used to continue building lineage.
    • \n
  • dialect: The dialect of input SQL.
    • \n
  • **kwargs: Qualification optimizer kwargs.
    • \n
\n\n
Returns:
\n\n
\n

A lineage node.

\n
\n", "signature": "(\tcolumn: str | sqlglot.expressions.Column,\tsql: str | sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tsources: Optional[Dict[str, str | sqlglot.expressions.Subqueryable]] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\t**kwargs) -> sqlglot.lineage.Node:", "funcdef": "def"}, "sqlglot.lineage.LineageHTML": {"fullname": "sqlglot.lineage.LineageHTML", "modulename": "sqlglot.lineage", "qualname": "LineageHTML", "kind": "class", "doc": "

Node to HTML generator using vis.js.

\n\n

https://visjs.github.io/vis-network/docs/network/

\n"}, "sqlglot.lineage.LineageHTML.__init__": {"fullname": "sqlglot.lineage.LineageHTML.__init__", "modulename": "sqlglot.lineage", "qualname": "LineageHTML.__init__", "kind": "function", "doc": "

\n", "signature": "(\tnode: sqlglot.lineage.Node,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\timports: bool = True,\t**opts: Any)"}, "sqlglot.optimizer": {"fullname": "sqlglot.optimizer", "modulename": "sqlglot.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.annotate_types": {"fullname": "sqlglot.optimizer.annotate_types.annotate_types", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "annotate_types", "kind": "function", "doc": "

Infers the types of an expression, annotating its AST accordingly.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"y": {"cola": "SMALLINT"}}\n>>> sql = "SELECT x.cola + 2.5 AS cola FROM (SELECT y.cola AS cola FROM y AS y) AS x"\n>>> annotated_expr = annotate_types(sqlglot.parse_one(sql), schema=schema)\n>>> annotated_expr.expressions[0].type.this  # Get the type of "x.cola + 2.5 AS cola"\n<Type.DOUBLE: 'DOUBLE'>\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: Expression to annotate.
    • \n
  • schema: Database schema.
    • \n
  • annotators: Maps expression type to corresponding annotation function.
    • \n
  • coerces_to: Maps expression type to set of types that it can be coerced into.
    • \n
\n\n
Returns:
\n\n
\n

The expression annotated with types.

\n
\n", "signature": "(\texpression: ~E,\tschema: Union[Dict, sqlglot.schema.Schema, NoneType] = None,\tannotators: Optional[Dict[Type[~E], Callable[[sqlglot.optimizer.annotate_types.TypeAnnotator, ~E], ~E]]] = None,\tcoerces_to: Optional[Dict[sqlglot.expressions.DataType.Type, Set[sqlglot.expressions.DataType.Type]]] = None) -> ~E:", "funcdef": "def"}, "sqlglot.optimizer.annotate_types.TypeAnnotator": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator", "kind": "class", "doc": "

\n"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.__init__", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.__init__", "kind": "function", "doc": "

\n", "signature": "(\tschema: sqlglot.schema.Schema,\tannotators: Optional[Dict[Type[~E], Callable[[sqlglot.optimizer.annotate_types.TypeAnnotator, ~E], ~E]]] = None,\tcoerces_to: Optional[Dict[sqlglot.expressions.DataType.Type, Set[sqlglot.expressions.DataType.Type]]] = None)"}, "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate": {"fullname": "sqlglot.optimizer.annotate_types.TypeAnnotator.annotate", "modulename": "sqlglot.optimizer.annotate_types", "qualname": "TypeAnnotator.annotate", "kind": "function", "doc": "

\n", "signature": "(self, expression: ~E) -> ~E:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.canonicalize.canonicalize": {"fullname": "sqlglot.optimizer.canonicalize.canonicalize", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "canonicalize", "kind": "function", "doc": "

Converts a sql expression into a standard form.

\n\n

This method relies on annotate_types because many of the\nconversions rely on type inference.

\n\n
Arguments:
\n\n
    \n
  • expression: The expression to canonicalize.
    • \n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.add_text_to_concat": {"fullname": "sqlglot.optimizer.canonicalize.add_text_to_concat", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "add_text_to_concat", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.coerce_type": {"fullname": "sqlglot.optimizer.canonicalize.coerce_type", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "coerce_type", "kind": "function", "doc": "

\n", "signature": "(node: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.remove_redundant_casts": {"fullname": "sqlglot.optimizer.canonicalize.remove_redundant_casts", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "remove_redundant_casts", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.canonicalize.ensure_bool_predicates": {"fullname": "sqlglot.optimizer.canonicalize.ensure_bool_predicates", "modulename": "sqlglot.optimizer.canonicalize", "qualname": "ensure_bool_predicates", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_ctes.eliminate_ctes": {"fullname": "sqlglot.optimizer.eliminate_ctes.eliminate_ctes", "modulename": "sqlglot.optimizer.eliminate_ctes", "qualname": "eliminate_ctes", "kind": "function", "doc": "

Remove unused CTEs from an expression.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "WITH y AS (SELECT a FROM x) SELECT a FROM z"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_ctes(expression).sql()\n'SELECT a FROM z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_joins.eliminate_joins": {"fullname": "sqlglot.optimizer.eliminate_joins.eliminate_joins", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "eliminate_joins", "kind": "function", "doc": "

Remove unused joins from an expression.

\n\n

This only removes joins when we know that the join condition doesn't produce duplicate rows.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT x.a FROM x LEFT JOIN (SELECT DISTINCT y.b FROM y) AS y ON x.b = y.b"\n>>> expression = sqlglot.parse_one(sql)\n>>> eliminate_joins(expression).sql()\n'SELECT x.a FROM x'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_joins.join_condition": {"fullname": "sqlglot.optimizer.eliminate_joins.join_condition", "modulename": "sqlglot.optimizer.eliminate_joins", "qualname": "join_condition", "kind": "function", "doc": "

Extract the join condition from a join expression.

\n\n
Arguments:
\n\n
    \n
  • join (exp.Join)
    • \n
\n\n
Returns:
\n\n
\n

tuple[list[str], list[str], exp.Expression]:\n Tuple of (source key, join key, remaining predicate)

\n
\n", "signature": "(join):", "funcdef": "def"}, "sqlglot.optimizer.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries": {"fullname": "sqlglot.optimizer.eliminate_subqueries.eliminate_subqueries", "modulename": "sqlglot.optimizer.eliminate_subqueries", "qualname": "eliminate_subqueries", "kind": "function", "doc": "

Rewrite derived tables as CTES, deduplicating if possible.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y'\n
\n
\n
\n\n
This also deduplicates common subqueries:
\n\n
\n
\n
>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT * FROM x) AS y CROSS JOIN (SELECT * FROM x) AS z")\n>>> eliminate_subqueries(expression).sql()\n'WITH y AS (SELECT * FROM x) SELECT a FROM y AS y CROSS JOIN y AS z'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.isolate_table_selects.isolate_table_selects": {"fullname": "sqlglot.optimizer.isolate_table_selects.isolate_table_selects", "modulename": "sqlglot.optimizer.isolate_table_selects", "qualname": "isolate_table_selects", "kind": "function", "doc": "

\n", "signature": "(expression, schema=None):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.merge_subqueries.merge_subqueries": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_subqueries", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to merge derived tables into the outer query.

\n\n

This also merges CTEs if they are selected from only once.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y")\n>>> merge_subqueries(expression).sql()\n'SELECT x.a FROM x CROSS JOIN y'\n
\n
\n
\n\n

If leave_tables_isolated is True, this will not merge inner queries into outer\nqueries if it would result in multiple table selects in a single query:

\n\n
\n
\n
\n

expression = sqlglot.parse_one(\"SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y\")\n merge_subqueries(expression, leave_tables_isolated=True).sql()\n 'SELECT a FROM (SELECT x.a FROM x) CROSS JOIN y'

\n
\n
\n
\n\n

Inspired by https://dev.mysql.com/doc/refman/8.0/en/derived-table-optimization.html

\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
  • leave_tables_isolated (bool):
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_ctes": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_ctes", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_ctes", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.merge_subqueries.merge_derived_tables": {"fullname": "sqlglot.optimizer.merge_subqueries.merge_derived_tables", "modulename": "sqlglot.optimizer.merge_subqueries", "qualname": "merge_derived_tables", "kind": "function", "doc": "

\n", "signature": "(expression, leave_tables_isolated=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize": {"fullname": "sqlglot.optimizer.normalize", "modulename": "sqlglot.optimizer.normalize", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.normalize.normalize": {"fullname": "sqlglot.optimizer.normalize.normalize", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalize", "kind": "function", "doc": "

Rewrite sqlglot AST into conjunctive normal form or disjunctive normal form.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(x AND y) OR z")\n>>> normalize(expression, dnf=False).sql()\n'(x OR z) AND (y OR z)'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to normalize
    • \n
  • dnf: rewrite in disjunctive normal form instead.
    • \n
  • max_distance (int): the maximal estimated distance from cnf/dnf to attempt conversion
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: normalized expression

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tdnf: bool = False,\tmax_distance: int = 128):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalized": {"fullname": "sqlglot.optimizer.normalize.normalized", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalized", "kind": "function", "doc": "

\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.normalization_distance": {"fullname": "sqlglot.optimizer.normalize.normalization_distance", "modulename": "sqlglot.optimizer.normalize", "qualname": "normalization_distance", "kind": "function", "doc": "

The difference in the number of predicates between the current expression and the normalized form.

\n\n

This is used as an estimate of the cost of the conversion which is exponential in complexity.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("(a AND b) OR (c AND d)")\n>>> normalization_distance(expression)\n4\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to compute distance
    • \n
  • dnf (bool): compute to dnf distance instead
    • \n
\n\n
Returns:
\n\n
\n

int: difference

\n
\n", "signature": "(expression, dnf=False):", "funcdef": "def"}, "sqlglot.optimizer.normalize.distributive_law": {"fullname": "sqlglot.optimizer.normalize.distributive_law", "modulename": "sqlglot.optimizer.normalize", "qualname": "distributive_law", "kind": "function", "doc": "

x OR (y AND z) -> (x OR y) AND (x OR z)\n(x AND y) OR (y AND z) -> (x OR y) AND (x OR z) AND (y OR y) AND (y OR z)

\n", "signature": "(expression, dnf, max_distance, generate):", "funcdef": "def"}, "sqlglot.optimizer.normalize_identifiers": {"fullname": "sqlglot.optimizer.normalize_identifiers", "modulename": "sqlglot.optimizer.normalize_identifiers", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.normalize_identifiers.normalize_identifiers": {"fullname": "sqlglot.optimizer.normalize_identifiers.normalize_identifiers", "modulename": "sqlglot.optimizer.normalize_identifiers", "qualname": "normalize_identifiers", "kind": "function", "doc": "

Normalize all unquoted identifiers to either lower or upper case, depending\non the dialect. This essentially makes those identifiers case-insensitive.

\n\n
Note:
\n\n
\n

Some dialects (e.g. BigQuery) treat identifiers as case-insensitive even\n when they're quoted, so in these cases all identifiers are normalized.

\n
\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one('SELECT Bar.A AS A FROM "Foo".Bar')\n>>> normalize_identifiers(expression).sql()\n'SELECT bar.a AS a FROM "Foo".bar'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: The expression to transform.
    • \n
  • dialect: The dialect to use in order to decide how to normalize identifiers.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: ~E,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> ~E:", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimize_joins.optimize_joins": {"fullname": "sqlglot.optimizer.optimize_joins.optimize_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "optimize_joins", "kind": "function", "doc": "

Removes cross joins if possible and reorder joins based on predicate dependencies.

\n\n
Example:
\n\n
\n
\n
>>> from sqlglot import parse_one\n>>> optimize_joins(parse_one("SELECT * FROM x CROSS JOIN y JOIN z ON x.a = z.a AND y.a = z.a")).sql()\n'SELECT * FROM x JOIN z ON x.a = z.a AND TRUE JOIN y ON y.a = z.a'\n
\n
\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.reorder_joins": {"fullname": "sqlglot.optimizer.optimize_joins.reorder_joins", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "reorder_joins", "kind": "function", "doc": "

Reorder joins by topological sort order based on predicate references.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.normalize": {"fullname": "sqlglot.optimizer.optimize_joins.normalize", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "normalize", "kind": "function", "doc": "

Remove INNER and OUTER from joins as they are optional.

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.optimize_joins.other_table_names": {"fullname": "sqlglot.optimizer.optimize_joins.other_table_names", "modulename": "sqlglot.optimizer.optimize_joins", "qualname": "other_table_names", "kind": "function", "doc": "

\n", "signature": "(join: sqlglot.expressions.Join) -> Set[str]:", "funcdef": "def"}, "sqlglot.optimizer.optimizer": {"fullname": "sqlglot.optimizer.optimizer", "modulename": "sqlglot.optimizer.optimizer", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.optimizer.optimize": {"fullname": "sqlglot.optimizer.optimizer.optimize", "modulename": "sqlglot.optimizer.optimizer", "qualname": "optimize", "kind": "function", "doc": "

Rewrite a sqlglot AST into an optimized form.

\n\n
Arguments:
\n\n
    \n
  • expression: expression to optimize
    • \n
  • schema: database schema.\nThis can either be an instance of sqlglot.optimizer.Schema or a mapping in one of\nthe following forms:\n 1. {table: {col: type}}\n 2. {db: {table: {col: type}}}\n 3. {catalog: {db: {table: {col: type}}}}\nIf no schema is provided then the default schema defined at sqlgot.schema will be used
    • \n
  • db: specify the default database, as might be set by a USE DATABASE db statement
    • \n
  • catalog: specify the default catalog, as might be set by a USE CATALOG c statement
    • \n
  • dialect: The dialect to parse the sql string.
    • \n
  • rules: sequence of optimizer rules to use.\nMany of the rules require tables and columns to be qualified.\nDo not remove qualify from the sequence of rules unless you know what you're doing!
    • \n
  • *kwargs: If a rule has a keyword argument with a same name in *kwargs, it will be passed in.
    • \n
\n\n
Returns:
\n\n
\n

The optimized expression.

\n
\n", "signature": "(\texpression: str | sqlglot.expressions.Expression,\tschema: Union[dict, sqlglot.schema.Schema, NoneType] = None,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\trules: Sequence[Callable] = (<function qualify at 0x7f73bfcf3c70>, <function pushdown_projections at 0x7f73bfcf3640>, <function normalize at 0x7f73bfcdb6d0>, <function unnest_subqueries at 0x7f73bfa9c040>, <function pushdown_predicates at 0x7f73bfcf24d0>, <function optimize_joins at 0x7f73bfcf2200>, <function eliminate_subqueries at 0x7f73bfcf1360>, <function merge_subqueries at 0x7f73bfcf13f0>, <function eliminate_joins at 0x7f73bfcdb5b0>, <function eliminate_ctes at 0x7f73bfcdb490>, <function quote_identifiers at 0x7f73bfcf35b0>, <function annotate_types at 0x7f73bfd47910>, <function canonicalize at 0x7f73bfcdaef0>, <function simplify at 0x7f73bfcdb880>),\t**kwargs) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_predicates.pushdown_predicates": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_predicates", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_predicates", "kind": "function", "doc": "

Rewrite sqlglot AST to pushdown predicates in FROMS and JOINS

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT y.a AS a FROM (SELECT x.a AS a FROM x AS x) AS y WHERE y.a = 1"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_predicates(expression).sql()\n'SELECT y.a AS a FROM (SELECT x.a AS a FROM x AS x WHERE x.a = 1) AS y WHERE TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown", "kind": "function", "doc": "

\n", "signature": "(condition, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_cnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_cnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_cnf", "kind": "function", "doc": "

If the predicates are in CNF like form, we can simply replace each block in the parent.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.pushdown_dnf": {"fullname": "sqlglot.optimizer.pushdown_predicates.pushdown_dnf", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "pushdown_dnf", "kind": "function", "doc": "

If the predicates are in DNF form, we can only push down conditions that are in all blocks.\nAdditionally, we can't remove predicates from their original form.

\n", "signature": "(predicates, scope, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate": {"fullname": "sqlglot.optimizer.pushdown_predicates.nodes_for_predicate", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "nodes_for_predicate", "kind": "function", "doc": "

\n", "signature": "(predicate, sources, scope_ref_count):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_predicates.replace_aliases": {"fullname": "sqlglot.optimizer.pushdown_predicates.replace_aliases", "modulename": "sqlglot.optimizer.pushdown_predicates", "qualname": "replace_aliases", "kind": "function", "doc": "

\n", "signature": "(source, predicate):", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION": {"fullname": "sqlglot.optimizer.pushdown_projections.DEFAULT_SELECTION", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "DEFAULT_SELECTION", "kind": "function", "doc": "

\n", "signature": "():", "funcdef": "def"}, "sqlglot.optimizer.pushdown_projections.pushdown_projections": {"fullname": "sqlglot.optimizer.pushdown_projections.pushdown_projections", "modulename": "sqlglot.optimizer.pushdown_projections", "qualname": "pushdown_projections", "kind": "function", "doc": "

Rewrite sqlglot AST to remove unused columns projections.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sql = "SELECT y.a AS a FROM (SELECT x.a AS a, x.b AS b FROM x) AS y"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_projections(expression).sql()\n'SELECT y.a AS a FROM (SELECT x.a AS a FROM x) AS y'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to optimize
    • \n
  • remove_unused_selections (bool): remove selects that are unused
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: optimized expression

\n
\n", "signature": "(expression, schema=None, remove_unused_selections=True):", "funcdef": "def"}, "sqlglot.optimizer.qualify": {"fullname": "sqlglot.optimizer.qualify", "modulename": "sqlglot.optimizer.qualify", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify.qualify": {"fullname": "sqlglot.optimizer.qualify.qualify", "modulename": "sqlglot.optimizer.qualify", "qualname": "qualify", "kind": "function", "doc": "

Rewrite sqlglot AST to have normalized and qualified tables and columns.

\n\n

This step is necessary for all further SQLGlot optimizations.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"tbl": {"col": "INT"}}\n>>> expression = sqlglot.parse_one("SELECT col FROM tbl")\n>>> qualify(expression, schema=schema).sql()\n'SELECT "tbl"."col" AS "col" FROM "tbl" AS "tbl"'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: Expression to qualify.
    • \n
  • db: Default database name for tables.
    • \n
  • catalog: Default catalog name for tables.
    • \n
  • schema: Schema to infer column names and types.
    • \n
  • expand_alias_refs: Whether or not to expand references to aliases.
    • \n
  • infer_schema: Whether or not to infer the schema if missing.
    • \n
  • isolate_tables: Whether or not to isolate table selects.
    • \n
  • qualify_columns: Whether or not to qualify columns.
    • \n
  • validate_qualify_columns: Whether or not to validate columns.
    • \n
  • quote_identifiers: Whether or not to run the quote_identifiers step.\nThis step is necessary to ensure correctness for case sensitive queries.\nBut this flag is provided in case this step is performed at a later time.
    • \n
  • identify: If True, quote all identifiers, else only necessary ones.
    • \n
\n\n
Returns:
\n\n
\n

The qualified expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tschema: Union[dict, sqlglot.schema.Schema, NoneType] = None,\texpand_alias_refs: bool = True,\tinfer_schema: Optional[bool] = None,\tisolate_tables: bool = False,\tqualify_columns: bool = True,\tvalidate_qualify_columns: bool = True,\tquote_identifiers: bool = True,\tidentify: bool = True) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_columns.qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "qualify_columns", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified columns.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> schema = {"tbl": {"col": "INT"}}\n>>> expression = sqlglot.parse_one("SELECT col FROM tbl")\n>>> qualify_columns(expression, schema).sql()\n'SELECT tbl.col AS col FROM tbl'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: expression to qualify
    • \n
  • schema: Database schema
    • \n
  • expand_alias_refs: whether or not to expand references to aliases
    • \n
  • infer_schema: whether or not to infer the schema if missing
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: qualified expression

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tschema: Union[Dict, sqlglot.schema.Schema],\texpand_alias_refs: bool = True,\tinfer_schema: Optional[bool] = None) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.validate_qualify_columns": {"fullname": "sqlglot.optimizer.qualify_columns.validate_qualify_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "validate_qualify_columns", "kind": "function", "doc": "

Raise an OptimizeError if any columns aren't qualified

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.quote_identifiers": {"fullname": "sqlglot.optimizer.qualify_columns.quote_identifiers", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "quote_identifiers", "kind": "function", "doc": "

Makes sure all identifiers that need to be quoted are quoted.

\n", "signature": "(\texpression: ~E,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tidentify: bool = True) -> ~E:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver", "kind": "class", "doc": "

Helper for resolving columns.

\n\n

This is a class so we can lazily load some things and easily share them across functions.

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.__init__": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.__init__", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.__init__", "kind": "function", "doc": "

\n", "signature": "(scope, schema, infer_schema: bool = True)"}, "sqlglot.optimizer.qualify_columns.Resolver.get_table": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_table", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_table", "kind": "function", "doc": "

Get the table for a column name.

\n\n
Arguments:
\n\n
    \n
  • column_name: The column name to find the table for.
    • \n
\n\n
Returns:
\n\n
\n

The table name if it can be found/inferred.

\n
\n", "signature": "(self, column_name: str) -> Optional[sqlglot.expressions.Identifier]:", "funcdef": "def"}, "sqlglot.optimizer.qualify_columns.Resolver.all_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.all_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.all_columns", "kind": "variable", "doc": "

All available columns of all sources in this scope

\n"}, "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns": {"fullname": "sqlglot.optimizer.qualify_columns.Resolver.get_source_columns", "modulename": "sqlglot.optimizer.qualify_columns", "qualname": "Resolver.get_source_columns", "kind": "function", "doc": "

Resolve the source columns for a given source name

\n", "signature": "(self, name, only_visible=False):", "funcdef": "def"}, "sqlglot.optimizer.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.qualify_tables.qualify_tables": {"fullname": "sqlglot.optimizer.qualify_tables.qualify_tables", "modulename": "sqlglot.optimizer.qualify_tables", "qualname": "qualify_tables", "kind": "function", "doc": "

Rewrite sqlglot AST to have fully qualified tables. Additionally, this\nreplaces \"join constructs\" (*) by equivalent SELECT * subqueries.

\n\n
Examples:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT 1 FROM tbl")\n>>> qualify_tables(expression, db="db").sql()\n'SELECT 1 FROM db.tbl AS tbl'\n>>>\n>>> expression = sqlglot.parse_one("SELECT * FROM (tbl1 JOIN tbl2 ON id1 = id2)")\n>>> qualify_tables(expression).sql()\n'SELECT * FROM (SELECT * FROM tbl1 AS tbl1 JOIN tbl2 AS tbl2 ON id1 = id2) AS _q_0'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: Expression to qualify
    • \n
  • db: Database name
    • \n
  • catalog: Catalog name
    • \n
  • schema: A schema to populate
    • \n
\n\n
Returns:
\n\n
\n

The qualified expression.

\n
\n\n

(*) See section 7.2.1.2 in https://www.postgresql.org/docs/current/queries-table-expressions.html

\n", "signature": "(\texpression: ~E,\tdb: Optional[str] = None,\tcatalog: Optional[str] = None,\tschema: Optional[sqlglot.schema.Schema] = None) -> ~E:", "funcdef": "def"}, "sqlglot.optimizer.scope": {"fullname": "sqlglot.optimizer.scope", "modulename": "sqlglot.optimizer.scope", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.scope.ScopeType": {"fullname": "sqlglot.optimizer.scope.ScopeType", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "enum.Enum"}, "sqlglot.optimizer.scope.ScopeType.ROOT": {"fullname": "sqlglot.optimizer.scope.ScopeType.ROOT", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.ROOT", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.ROOT: 1>"}, "sqlglot.optimizer.scope.ScopeType.SUBQUERY": {"fullname": "sqlglot.optimizer.scope.ScopeType.SUBQUERY", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.SUBQUERY", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.SUBQUERY: 2>"}, "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE": {"fullname": "sqlglot.optimizer.scope.ScopeType.DERIVED_TABLE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.DERIVED_TABLE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.DERIVED_TABLE: 3>"}, "sqlglot.optimizer.scope.ScopeType.CTE": {"fullname": "sqlglot.optimizer.scope.ScopeType.CTE", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.CTE", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.CTE: 4>"}, "sqlglot.optimizer.scope.ScopeType.UNION": {"fullname": "sqlglot.optimizer.scope.ScopeType.UNION", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UNION: 5>"}, "sqlglot.optimizer.scope.ScopeType.UDTF": {"fullname": "sqlglot.optimizer.scope.ScopeType.UDTF", "modulename": "sqlglot.optimizer.scope", "qualname": "ScopeType.UDTF", "kind": "variable", "doc": "

\n", "default_value": "<ScopeType.UDTF: 6>"}, "sqlglot.optimizer.scope.Scope": {"fullname": "sqlglot.optimizer.scope.Scope", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope", "kind": "class", "doc": "

Selection scope.

\n\n
Attributes:
\n\n
    \n
  • expression (exp.Select|exp.Union): Root expression of this scope
    • \n
  • sources (dict[str, exp.Table|Scope]): Mapping of source name to either\na Table expression or another Scope instance. For example:\n SELECT * FROM x {\"x\": Table(this=\"x\")}\n SELECT * FROM x AS y {\"y\": Table(this=\"x\")}\n SELECT * FROM (SELECT ...) AS y {\"y\": Scope(...)}
    • \n
  • lateral_sources (dict[str, exp.Table|Scope]): Sources from laterals\nFor example:\n SELECT c FROM x LATERAL VIEW EXPLODE (a) AS c;\nThe LATERAL VIEW EXPLODE gets x as a source.
    • \n
  • outer_column_list (list[str]): If this is a derived table or CTE, and the outer query\ndefines a column list of it's alias of this scope, this is that list of columns.\nFor example:\n SELECT * FROM (SELECT ...) AS y(col1, col2)\nThe inner query would have [\"col1\", \"col2\"] for its outer_column_list
    • \n
  • parent (Scope): Parent scope
    • \n
  • scope_type (ScopeType): Type of this scope, relative to it's parent
    • \n
  • subquery_scopes (list[Scope]): List of all child scopes for subqueries
    • \n
  • cte_scopes (list[Scope]): List of all child scopes for CTEs
    • \n
  • derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
    • \n
  • udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
    • \n
  • table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
    • \n
  • union_scopes (list[Scope, Scope]): If this Scope is for a Union expression, this will be\na list of the left and right child scopes.
    • \n
\n"}, "sqlglot.optimizer.scope.Scope.__init__": {"fullname": "sqlglot.optimizer.scope.Scope.__init__", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.__init__", "kind": "function", "doc": "

\n", "signature": "(\texpression,\tsources=None,\touter_column_list=None,\tparent=None,\tscope_type=<ScopeType.ROOT: 1>,\tlateral_sources=None)"}, "sqlglot.optimizer.scope.Scope.clear_cache": {"fullname": "sqlglot.optimizer.scope.Scope.clear_cache", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.clear_cache", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.branch": {"fullname": "sqlglot.optimizer.scope.Scope.branch", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.branch", "kind": "function", "doc": "

Branch from the current scope to a new, inner scope

\n", "signature": "(self, expression, scope_type, chain_sources=None, **kwargs):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.walk": {"fullname": "sqlglot.optimizer.scope.Scope.walk", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.walk", "kind": "function", "doc": "

\n", "signature": "(self, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find": {"fullname": "sqlglot.optimizer.scope.Scope.find", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find", "kind": "function", "doc": "

Returns the first node in this scope which matches at least one of the specified types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
    • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
    • \n
\n\n
Returns:
\n\n
\n

exp.Expression: the node which matches the criteria or None if no node matching\n the criteria was found.

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.find_all": {"fullname": "sqlglot.optimizer.scope.Scope.find_all", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.find_all", "kind": "function", "doc": "

Returns a generator object which visits all nodes in this scope and only yields those that\nmatch at least one of the specified expression types.

\n\n

This does NOT traverse into subscopes.

\n\n
Arguments:
\n\n
    \n
  • expression_types (type): the expression type(s) to match.
    • \n
  • bfs (bool): True to use breadth-first search, False to use depth-first.
    • \n
\n\n
Yields:
\n\n
\n

exp.Expression: nodes

\n
\n", "signature": "(self, *expression_types, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.replace": {"fullname": "sqlglot.optimizer.scope.Scope.replace", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.replace", "kind": "function", "doc": "

Replace old with new.

\n\n

This can be used instead of exp.Expression.replace to ensure the Scope is kept up-to-date.

\n\n
Arguments:
\n\n
    \n
  • old (exp.Expression): old node
    • \n
  • new (exp.Expression): new node
    • \n
\n", "signature": "(self, old, new):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.tables": {"fullname": "sqlglot.optimizer.scope.Scope.tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.tables", "kind": "variable", "doc": "

List of tables in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Table]: tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.ctes": {"fullname": "sqlglot.optimizer.scope.Scope.ctes", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ctes", "kind": "variable", "doc": "

List of CTEs in this scope.

\n\n
Returns:
\n\n
\n

list[exp.CTE]: ctes

\n
\n"}, "sqlglot.optimizer.scope.Scope.derived_tables": {"fullname": "sqlglot.optimizer.scope.Scope.derived_tables", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.derived_tables", "kind": "variable", "doc": "

List of derived tables in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM (SELECT ...) <- that's a derived table

\n
\n\n
Returns:
\n\n
\n

list[exp.Subquery]: derived tables

\n
\n"}, "sqlglot.optimizer.scope.Scope.udtfs": {"fullname": "sqlglot.optimizer.scope.Scope.udtfs", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.udtfs", "kind": "variable", "doc": "

List of \"User Defined Tabular Functions\" in this scope.

\n\n
Returns:
\n\n
\n

list[exp.UDTF]: UDTFs

\n
\n"}, "sqlglot.optimizer.scope.Scope.subqueries": {"fullname": "sqlglot.optimizer.scope.Scope.subqueries", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.subqueries", "kind": "variable", "doc": "

List of subqueries in this scope.

\n\n
For example:
\n\n
\n

SELECT * FROM x WHERE a IN (SELECT ...) <- that's a subquery

\n
\n\n
Returns:
\n\n
\n

list[exp.Subqueryable]: subqueries

\n
\n"}, "sqlglot.optimizer.scope.Scope.columns": {"fullname": "sqlglot.optimizer.scope.Scope.columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.columns", "kind": "variable", "doc": "

List of columns in this scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances in this scope, plus any\n Columns that reference this scope from correlated subqueries.

\n
\n"}, "sqlglot.optimizer.scope.Scope.selected_sources": {"fullname": "sqlglot.optimizer.scope.Scope.selected_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selected_sources", "kind": "variable", "doc": "

Mapping of nodes and sources that are actually selected from in this scope.

\n\n

That is, all tables in a schema are selectable at any point. But a\ntable only becomes a selected source if it's included in a FROM or JOIN clause.

\n\n
Returns:
\n\n
\n

dict[str, (exp.Table|exp.Select, exp.Table|Scope)]: selected sources and nodes

\n
\n"}, "sqlglot.optimizer.scope.Scope.cte_sources": {"fullname": "sqlglot.optimizer.scope.Scope.cte_sources", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.cte_sources", "kind": "variable", "doc": "

Sources that are CTEs.

\n\n
Returns:
\n\n
\n

dict[str, Scope]: Mapping of source alias to Scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.selects": {"fullname": "sqlglot.optimizer.scope.Scope.selects", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.selects", "kind": "variable", "doc": "

Select expressions of this scope.

\n\n

For example, for the following expression:\n SELECT 1 as a, 2 as b FROM x

\n\n

The outputs are the \"1 as a\" and \"2 as b\" expressions.

\n\n
Returns:
\n\n
\n

list[exp.Expression]: expressions

\n
\n"}, "sqlglot.optimizer.scope.Scope.external_columns": {"fullname": "sqlglot.optimizer.scope.Scope.external_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.external_columns", "kind": "variable", "doc": "

Columns that appear to reference sources in outer scopes.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that don't reference\n sources in the current scope.

\n
\n"}, "sqlglot.optimizer.scope.Scope.unqualified_columns": {"fullname": "sqlglot.optimizer.scope.Scope.unqualified_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.unqualified_columns", "kind": "variable", "doc": "

Unqualified columns in the current scope.

\n\n
Returns:
\n\n
\n

list[exp.Column]: Unqualified columns

\n
\n"}, "sqlglot.optimizer.scope.Scope.join_hints": {"fullname": "sqlglot.optimizer.scope.Scope.join_hints", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.join_hints", "kind": "variable", "doc": "

Hints that exist in the scope that reference tables

\n\n
Returns:
\n\n
\n

list[exp.JoinHint]: Join hints that are referenced within the scope

\n
\n"}, "sqlglot.optimizer.scope.Scope.source_columns": {"fullname": "sqlglot.optimizer.scope.Scope.source_columns", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.source_columns", "kind": "function", "doc": "

Get all columns in the current scope for a particular source.

\n\n
Arguments:
\n\n
    \n
  • source_name (str): Name of the source
    • \n
\n\n
Returns:
\n\n
\n

list[exp.Column]: Column instances that reference source_name

\n
\n", "signature": "(self, source_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.is_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_subquery", "kind": "variable", "doc": "

Determine if this scope is a subquery

\n"}, "sqlglot.optimizer.scope.Scope.is_derived_table": {"fullname": "sqlglot.optimizer.scope.Scope.is_derived_table", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_derived_table", "kind": "variable", "doc": "

Determine if this scope is a derived table

\n"}, "sqlglot.optimizer.scope.Scope.is_union": {"fullname": "sqlglot.optimizer.scope.Scope.is_union", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_union", "kind": "variable", "doc": "

Determine if this scope is a union

\n"}, "sqlglot.optimizer.scope.Scope.is_cte": {"fullname": "sqlglot.optimizer.scope.Scope.is_cte", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_cte", "kind": "variable", "doc": "

Determine if this scope is a common table expression

\n"}, "sqlglot.optimizer.scope.Scope.is_root": {"fullname": "sqlglot.optimizer.scope.Scope.is_root", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_root", "kind": "variable", "doc": "

Determine if this is the root scope

\n"}, "sqlglot.optimizer.scope.Scope.is_udtf": {"fullname": "sqlglot.optimizer.scope.Scope.is_udtf", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_udtf", "kind": "variable", "doc": "

Determine if this scope is a UDTF (User Defined Table Function)

\n"}, "sqlglot.optimizer.scope.Scope.is_correlated_subquery": {"fullname": "sqlglot.optimizer.scope.Scope.is_correlated_subquery", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.is_correlated_subquery", "kind": "variable", "doc": "

Determine if this scope is a correlated subquery

\n"}, "sqlglot.optimizer.scope.Scope.rename_source": {"fullname": "sqlglot.optimizer.scope.Scope.rename_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.rename_source", "kind": "function", "doc": "

Rename a source in this scope

\n", "signature": "(self, old_name, new_name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.add_source": {"fullname": "sqlglot.optimizer.scope.Scope.add_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.add_source", "kind": "function", "doc": "

Add a source to this scope

\n", "signature": "(self, name, source):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.remove_source": {"fullname": "sqlglot.optimizer.scope.Scope.remove_source", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.remove_source", "kind": "function", "doc": "

Remove a source from this scope

\n", "signature": "(self, name):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.traverse": {"fullname": "sqlglot.optimizer.scope.Scope.traverse", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.traverse", "kind": "function", "doc": "

Traverse the scope tree from this node.

\n\n
Yields:
\n\n
\n

Scope: scope instances in depth-first-search post-order

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.Scope.ref_count": {"fullname": "sqlglot.optimizer.scope.Scope.ref_count", "modulename": "sqlglot.optimizer.scope", "qualname": "Scope.ref_count", "kind": "function", "doc": "

Count the number of times each scope in this tree is referenced.

\n\n
Returns:
\n\n
\n

dict[int, int]: Mapping of Scope instance ID to reference count

\n
\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.optimizer.scope.traverse_scope": {"fullname": "sqlglot.optimizer.scope.traverse_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "traverse_scope", "kind": "function", "doc": "

Traverse an expression by it's \"scopes\".

\n\n

\"Scope\" represents the current context of a Select statement.

\n\n

This is helpful for optimizing queries, where we need more information than\nthe expression tree itself. For example, we might care about the source\nnames within a subquery. Returns a list because a generator could result in\nincomplete properties which is confusing.

\n\n
Examples:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT a FROM (SELECT a FROM x) AS y")\n>>> scopes = traverse_scope(expression)\n>>> scopes[0].expression.sql(), list(scopes[0].sources)\n('SELECT a FROM x', ['x'])\n>>> scopes[1].expression.sql(), list(scopes[1].sources)\n('SELECT a FROM (SELECT a FROM x) AS y', ['y'])\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to traverse
    • \n
\n\n
Returns:
\n\n
\n

list[Scope]: scope instances

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> List[sqlglot.optimizer.scope.Scope]:", "funcdef": "def"}, "sqlglot.optimizer.scope.build_scope": {"fullname": "sqlglot.optimizer.scope.build_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "build_scope", "kind": "function", "doc": "

Build a scope tree.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression): expression to build the scope tree for
    • \n
\n\n
Returns:
\n\n
\n

Scope: root scope

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> Optional[sqlglot.optimizer.scope.Scope]:", "funcdef": "def"}, "sqlglot.optimizer.scope.walk_in_scope": {"fullname": "sqlglot.optimizer.scope.walk_in_scope", "modulename": "sqlglot.optimizer.scope", "qualname": "walk_in_scope", "kind": "function", "doc": "

Returns a generator object which visits all nodes in the syntrax tree, stopping at\nnodes that start child scopes.

\n\n
Arguments:
\n\n
    \n
  • expression (exp.Expression):
    • \n
  • bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.
    • \n
\n\n
Yields:
\n\n
\n

tuple[exp.Expression, Optional[exp.Expression], str]: node, parent, arg key

\n
\n", "signature": "(expression, bfs=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify": {"fullname": "sqlglot.optimizer.simplify", "modulename": "sqlglot.optimizer.simplify", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.simplify.simplify": {"fullname": "sqlglot.optimizer.simplify.simplify", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify", "kind": "function", "doc": "

Rewrite sqlglot AST to simplify expressions.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("TRUE AND TRUE")\n>>> simplify(expression).sql()\n'TRUE'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to simplify
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: simplified expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.rewrite_between": {"fullname": "sqlglot.optimizer.simplify.rewrite_between", "modulename": "sqlglot.optimizer.simplify", "qualname": "rewrite_between", "kind": "function", "doc": "

Rewrite x between y and z to x >= y AND x <= z.

\n\n

This is done because comparison simplification is only done on lt/lte/gt/gte.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_not": {"fullname": "sqlglot.optimizer.simplify.simplify_not", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_not", "kind": "function", "doc": "

Demorgan's Law\nNOT (x OR y) -> NOT x AND NOT y\nNOT (x AND y) -> NOT x OR NOT y

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.flatten": {"fullname": "sqlglot.optimizer.simplify.flatten", "modulename": "sqlglot.optimizer.simplify", "qualname": "flatten", "kind": "function", "doc": "

A AND (B AND C) -> A AND B AND C\nA OR (B OR C) -> A OR B OR C

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_connectors": {"fullname": "sqlglot.optimizer.simplify.simplify_connectors", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_connectors", "kind": "function", "doc": "

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_compliments": {"fullname": "sqlglot.optimizer.simplify.remove_compliments", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_compliments", "kind": "function", "doc": "

Removing compliments.

\n\n

A AND NOT A -> FALSE\nA OR NOT A -> TRUE

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.uniq_sort": {"fullname": "sqlglot.optimizer.simplify.uniq_sort", "modulename": "sqlglot.optimizer.simplify", "qualname": "uniq_sort", "kind": "function", "doc": "

Uniq and sort a connector.

\n\n

C AND A AND B AND B -> A AND B AND C

\n", "signature": "(expression, generate, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.absorb_and_eliminate": {"fullname": "sqlglot.optimizer.simplify.absorb_and_eliminate", "modulename": "sqlglot.optimizer.simplify", "qualname": "absorb_and_eliminate", "kind": "function", "doc": "

absorption:\n A AND (A OR B) -> A\n A OR (A AND B) -> A\n A AND (NOT A OR B) -> A AND B\n A OR (NOT A AND B) -> A OR B\nelimination:\n (A AND B) OR (A AND NOT B) -> A\n (A OR B) AND (A OR NOT B) -> A

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_literals": {"fullname": "sqlglot.optimizer.simplify.simplify_literals", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_literals", "kind": "function", "doc": "

\n", "signature": "(expression, root=True):", "funcdef": "def"}, "sqlglot.optimizer.simplify.simplify_parens": {"fullname": "sqlglot.optimizer.simplify.simplify_parens", "modulename": "sqlglot.optimizer.simplify", "qualname": "simplify_parens", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.remove_where_true": {"fullname": "sqlglot.optimizer.simplify.remove_where_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "remove_where_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.always_true": {"fullname": "sqlglot.optimizer.simplify.always_true", "modulename": "sqlglot.optimizer.simplify", "qualname": "always_true", "kind": "function", "doc": "

\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_complement": {"fullname": "sqlglot.optimizer.simplify.is_complement", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_complement", "kind": "function", "doc": "

\n", "signature": "(a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_false": {"fullname": "sqlglot.optimizer.simplify.is_false", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_false", "kind": "function", "doc": "

\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.is_null": {"fullname": "sqlglot.optimizer.simplify.is_null", "modulename": "sqlglot.optimizer.simplify", "qualname": "is_null", "kind": "function", "doc": "

\n", "signature": "(a: sqlglot.expressions.Expression) -> bool:", "funcdef": "def"}, "sqlglot.optimizer.simplify.eval_boolean": {"fullname": "sqlglot.optimizer.simplify.eval_boolean", "modulename": "sqlglot.optimizer.simplify", "qualname": "eval_boolean", "kind": "function", "doc": "

\n", "signature": "(expression, a, b):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_date": {"fullname": "sqlglot.optimizer.simplify.extract_date", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_date", "kind": "function", "doc": "

\n", "signature": "(cast):", "funcdef": "def"}, "sqlglot.optimizer.simplify.extract_interval": {"fullname": "sqlglot.optimizer.simplify.extract_interval", "modulename": "sqlglot.optimizer.simplify", "qualname": "extract_interval", "kind": "function", "doc": "

\n", "signature": "(interval):", "funcdef": "def"}, "sqlglot.optimizer.simplify.date_literal": {"fullname": "sqlglot.optimizer.simplify.date_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "date_literal", "kind": "function", "doc": "

\n", "signature": "(date):", "funcdef": "def"}, "sqlglot.optimizer.simplify.boolean_literal": {"fullname": "sqlglot.optimizer.simplify.boolean_literal", "modulename": "sqlglot.optimizer.simplify", "qualname": "boolean_literal", "kind": "function", "doc": "

\n", "signature": "(condition):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "kind": "module", "doc": "

\n"}, "sqlglot.optimizer.unnest_subqueries.unnest_subqueries": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest_subqueries", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest_subqueries", "kind": "function", "doc": "

Rewrite sqlglot AST to convert some predicates with subqueries into joins.

\n\n

Convert scalar subqueries into cross joins.\nConvert correlated or vectorized subqueries into a group by so it is not a many to many left join.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> expression = sqlglot.parse_one("SELECT * FROM x AS x WHERE (SELECT y.a AS a FROM y AS y WHERE x.a = y.a) = 1 ")\n>>> unnest_subqueries(expression).sql()\n'SELECT * FROM x AS x LEFT JOIN (SELECT y.a AS a FROM y AS y WHERE TRUE GROUP BY y.a) AS _u_0 ON x.a = _u_0.a WHERE _u_0.a = 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression (sqlglot.Expression): expression to unnest
    • \n
\n\n
Returns:
\n\n
\n

sqlglot.Expression: unnested expression

\n
\n", "signature": "(expression):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.unnest": {"fullname": "sqlglot.optimizer.unnest_subqueries.unnest", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "unnest", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, next_alias_name):", "funcdef": "def"}, "sqlglot.optimizer.unnest_subqueries.decorrelate": {"fullname": "sqlglot.optimizer.unnest_subqueries.decorrelate", "modulename": "sqlglot.optimizer.unnest_subqueries", "qualname": "decorrelate", "kind": "function", "doc": "

\n", "signature": "(select, parent_select, external_columns, next_alias_name):", "funcdef": "def"}, "sqlglot.parser": {"fullname": "sqlglot.parser", "modulename": "sqlglot.parser", "kind": "module", "doc": "

\n"}, "sqlglot.parser.parse_var_map": {"fullname": "sqlglot.parser.parse_var_map", "modulename": "sqlglot.parser", "qualname": "parse_var_map", "kind": "function", "doc": "

\n", "signature": "(args: List) -> sqlglot.expressions.StarMap | sqlglot.expressions.VarMap:", "funcdef": "def"}, "sqlglot.parser.parse_like": {"fullname": "sqlglot.parser.parse_like", "modulename": "sqlglot.parser", "qualname": "parse_like", "kind": "function", "doc": "

\n", "signature": "(args: List) -> sqlglot.expressions.Escape | sqlglot.expressions.Like:", "funcdef": "def"}, "sqlglot.parser.binary_range_parser": {"fullname": "sqlglot.parser.binary_range_parser", "modulename": "sqlglot.parser", "qualname": "binary_range_parser", "kind": "function", "doc": "

\n", "signature": "(\texpr_type: Type[sqlglot.expressions.Expression]) -> Callable[[sqlglot.parser.Parser, Optional[sqlglot.expressions.Expression]], Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser": {"fullname": "sqlglot.parser.Parser", "modulename": "sqlglot.parser", "qualname": "Parser", "kind": "class", "doc": "

Parser consumes a list of tokens produced by the Tokenizer and produces a parsed syntax tree.

\n\n
Arguments:
\n\n
    \n
  • error_level: The desired error level.\nDefault: ErrorLevel.IMMEDIATE
    • \n
  • error_message_context: Determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 100
    • \n
  • max_errors: Maximum number of error messages to include in a raised ParseError.\nThis is only relevant if error_level is ErrorLevel.RAISE.\nDefault: 3
    • \n
\n"}, "sqlglot.parser.Parser.__init__": {"fullname": "sqlglot.parser.Parser.__init__", "modulename": "sqlglot.parser", "qualname": "Parser.__init__", "kind": "function", "doc": "

\n", "signature": "(\terror_level: Optional[sqlglot.errors.ErrorLevel] = None,\terror_message_context: int = 100,\tmax_errors: int = 3)"}, "sqlglot.parser.Parser.reset": {"fullname": "sqlglot.parser.Parser.reset", "modulename": "sqlglot.parser", "qualname": "Parser.reset", "kind": "function", "doc": "

\n", "signature": "(self):", "funcdef": "def"}, "sqlglot.parser.Parser.parse": {"fullname": "sqlglot.parser.Parser.parse", "modulename": "sqlglot.parser", "qualname": "Parser.parse", "kind": "function", "doc": "

Parses a list of tokens and returns a list of syntax trees, one tree\nper parsed SQL statement.

\n\n
Arguments:
\n\n
    \n
  • raw_tokens: The list of tokens.
    • \n
  • sql: The original SQL string, used to produce helpful debug messages.
    • \n
\n\n
Returns:
\n\n
\n

The list of the produced syntax trees.

\n
\n", "signature": "(\tself,\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.parse_into": {"fullname": "sqlglot.parser.Parser.parse_into", "modulename": "sqlglot.parser", "qualname": "Parser.parse_into", "kind": "function", "doc": "

Parses a list of tokens into a given Expression type. If a collection of Expression\ntypes is given instead, this method will try to parse the token list into each one\nof them, stopping at the first for which the parsing succeeds.

\n\n
Arguments:
\n\n
    \n
  • expression_types: The expression type(s) to try and parse the token list into.
    • \n
  • raw_tokens: The list of tokens.
    • \n
  • sql: The original SQL string, used to produce helpful debug messages.
    • \n
\n\n
Returns:
\n\n
\n

The target Expression.

\n
\n", "signature": "(\tself,\texpression_types: Union[str, Type[sqlglot.expressions.Expression], Collection[Union[str, Type[sqlglot.expressions.Expression]]]],\traw_tokens: List[sqlglot.tokens.Token],\tsql: Optional[str] = None) -> List[Optional[sqlglot.expressions.Expression]]:", "funcdef": "def"}, "sqlglot.parser.Parser.check_errors": {"fullname": "sqlglot.parser.Parser.check_errors", "modulename": "sqlglot.parser", "qualname": "Parser.check_errors", "kind": "function", "doc": "

Logs or raises any found errors, depending on the chosen error level setting.

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.raise_error": {"fullname": "sqlglot.parser.Parser.raise_error", "modulename": "sqlglot.parser", "qualname": "Parser.raise_error", "kind": "function", "doc": "

Appends an error in the list of recorded errors or raises it, depending on the chosen\nerror level setting.

\n", "signature": "(self, message: str, token: Optional[sqlglot.tokens.Token] = None) -> None:", "funcdef": "def"}, "sqlglot.parser.Parser.expression": {"fullname": "sqlglot.parser.Parser.expression", "modulename": "sqlglot.parser", "qualname": "Parser.expression", "kind": "function", "doc": "

Creates a new, validated Expression.

\n\n
Arguments:
\n\n
    \n
  • exp_class: The expression class to instantiate.
    • \n
  • comments: An optional list of comments to attach to the expression.
    • \n
  • kwargs: The arguments to set for the expression along with their respective values.
    • \n
\n\n
Returns:
\n\n
\n

The target expression.

\n
\n", "signature": "(\tself,\texp_class: Type[~E],\tcomments: Optional[List[str]] = None,\t**kwargs) -> ~E:", "funcdef": "def"}, "sqlglot.parser.Parser.validate_expression": {"fullname": "sqlglot.parser.Parser.validate_expression", "modulename": "sqlglot.parser", "qualname": "Parser.validate_expression", "kind": "function", "doc": "

Validates an Expression, making sure that all its mandatory arguments are set.

\n\n
Arguments:
\n\n
    \n
  • expression: The expression to validate.
    • \n
  • args: An optional list of items that was used to instantiate the expression, if it's a Func.
    • \n
\n\n
Returns:
\n\n
\n

The validated expression.

\n
\n", "signature": "(self, expression: ~E, args: Optional[List] = None) -> ~E:", "funcdef": "def"}, "sqlglot.planner": {"fullname": "sqlglot.planner", "modulename": "sqlglot.planner", "kind": "module", "doc": "

\n"}, "sqlglot.planner.Plan": {"fullname": "sqlglot.planner.Plan", "modulename": "sqlglot.planner", "qualname": "Plan", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Plan.__init__": {"fullname": "sqlglot.planner.Plan.__init__", "modulename": "sqlglot.planner", "qualname": "Plan.__init__", "kind": "function", "doc": "

\n", "signature": "(expression: sqlglot.expressions.Expression)"}, "sqlglot.planner.Step": {"fullname": "sqlglot.planner.Step", "modulename": "sqlglot.planner", "qualname": "Step", "kind": "class", "doc": "

\n"}, "sqlglot.planner.Step.from_expression": {"fullname": "sqlglot.planner.Step.from_expression", "modulename": "sqlglot.planner", "qualname": "Step.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Step.add_dependency": {"fullname": "sqlglot.planner.Step.add_dependency", "modulename": "sqlglot.planner", "qualname": "Step.add_dependency", "kind": "function", "doc": "

\n", "signature": "(self, dependency: sqlglot.planner.Step) -> None:", "funcdef": "def"}, "sqlglot.planner.Step.to_s": {"fullname": "sqlglot.planner.Step.to_s", "modulename": "sqlglot.planner", "qualname": "Step.to_s", "kind": "function", "doc": "

\n", "signature": "(self, level: int = 0) -> str:", "funcdef": "def"}, "sqlglot.planner.Scan": {"fullname": "sqlglot.planner.Scan", "modulename": "sqlglot.planner", "qualname": "Scan", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Scan.from_expression": {"fullname": "sqlglot.planner.Scan.from_expression", "modulename": "sqlglot.planner", "qualname": "Scan.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Join": {"fullname": "sqlglot.planner.Join", "modulename": "sqlglot.planner", "qualname": "Join", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Join.from_joins": {"fullname": "sqlglot.planner.Join.from_joins", "modulename": "sqlglot.planner", "qualname": "Join.from_joins", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tjoins: Iterable[sqlglot.expressions.Join],\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.planner.Aggregate": {"fullname": "sqlglot.planner.Aggregate", "modulename": "sqlglot.planner", "qualname": "Aggregate", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.Sort": {"fullname": "sqlglot.planner.Sort", "modulename": "sqlglot.planner", "qualname": "Sort", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation": {"fullname": "sqlglot.planner.SetOperation", "modulename": "sqlglot.planner", "qualname": "SetOperation", "kind": "class", "doc": "

\n", "bases": "Step"}, "sqlglot.planner.SetOperation.__init__": {"fullname": "sqlglot.planner.SetOperation.__init__", "modulename": "sqlglot.planner", "qualname": "SetOperation.__init__", "kind": "function", "doc": "

\n", "signature": "(\top: Type[sqlglot.expressions.Expression],\tleft: str | None,\tright: str | None,\tdistinct: bool = False)"}, "sqlglot.planner.SetOperation.from_expression": {"fullname": "sqlglot.planner.SetOperation.from_expression", "modulename": "sqlglot.planner", "qualname": "SetOperation.from_expression", "kind": "function", "doc": "

Builds a DAG of Steps from a SQL expression so that it's easier to execute in an engine.\nNote: the expression's tables and subqueries must be aliased for this method to work. For\nexample, given the following expression:

\n\n

SELECT\n x.a,\n SUM(x.b)\nFROM x AS x\nJOIN y AS y\n ON x.a = y.a\nGROUP BY x.a

\n\n

the following DAG is produced (the expression IDs might differ per execution):

\n\n
    \n
  • Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
      \n
    • x.a
      • \n
    • \"x\".\"\"\nDependencies:\n
        \n
      • Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
        • \n
      • \n
    • Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
      • \n
    • Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:
      • \n
    • \n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression to build the DAG from.
    • \n
  • ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.
    • \n
\n\n
Returns:
\n\n
\n

A Step DAG corresponding to expression.

\n
\n", "signature": "(\tcls,\texpression: sqlglot.expressions.Expression,\tctes: Optional[Dict[str, sqlglot.planner.Step]] = None) -> sqlglot.planner.Step:", "funcdef": "def"}, "sqlglot.schema.Schema": {"fullname": "sqlglot.schema.Schema", "modulename": "sqlglot.schema", "qualname": "Schema", "kind": "class", "doc": "

Abstract base class for database schemas

\n", "bases": "abc.ABC"}, "sqlglot.schema.Schema.add_table": {"fullname": "sqlglot.schema.Schema.add_table", "modulename": "sqlglot.schema", "qualname": "Schema.add_table", "kind": "function", "doc": "

Register or update a table. Some implementing classes may require column information to also be provided.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance or string representing the table.
    • \n
  • column_mapping: a column mapping that describes the structure of the table.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.Schema.column_names": {"fullname": "sqlglot.schema.Schema.column_names", "modulename": "sqlglot.schema", "qualname": "Schema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
    • \n
  • only_visible: whether to include invisible columns.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.Schema.get_column_type": {"fullname": "sqlglot.schema.Schema.get_column_type", "modulename": "sqlglot.schema", "qualname": "Schema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
    • \n
  • column: the target column.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.Schema.supported_table_args": {"fullname": "sqlglot.schema.Schema.supported_table_args", "modulename": "sqlglot.schema", "qualname": "Schema.supported_table_args", "kind": "variable", "doc": "

Table arguments this schema support, e.g. (\"this\", \"db\", \"catalog\")

\n", "annotation": ": Tuple[str, ...]"}, "sqlglot.schema.Schema.empty": {"fullname": "sqlglot.schema.Schema.empty", "modulename": "sqlglot.schema", "qualname": "Schema.empty", "kind": "variable", "doc": "

Returns whether or not the schema is empty.

\n", "annotation": ": bool"}, "sqlglot.schema.AbstractMappingSchema": {"fullname": "sqlglot.schema.AbstractMappingSchema", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema", "kind": "class", "doc": "

Abstract base class for generic types.

\n\n

A generic type is typically declared by inheriting from\nthis class parameterized with one or more type variables.\nFor example, a generic mapping type might be defined as::

\n\n

class Mapping(Generic[KT, VT]):\n def __getitem__(self, key: KT) -> VT:\n ...\n # Etc.

\n\n

This class can then be used as follows::

\n\n

def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT:\n try:\n return mapping[key]\n except KeyError:\n return default

\n", "bases": "typing.Generic[~T]"}, "sqlglot.schema.AbstractMappingSchema.__init__": {"fullname": "sqlglot.schema.AbstractMappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(mapping: Optional[Dict] = None)"}, "sqlglot.schema.AbstractMappingSchema.table_parts": {"fullname": "sqlglot.schema.AbstractMappingSchema.table_parts", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.table_parts", "kind": "function", "doc": "

\n", "signature": "(self, table: sqlglot.expressions.Table) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.find": {"fullname": "sqlglot.schema.AbstractMappingSchema.find", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.find", "kind": "function", "doc": "

\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table,\ttrie: Optional[Dict] = None,\traise_on_missing: bool = True) -> Optional[~T]:", "funcdef": "def"}, "sqlglot.schema.AbstractMappingSchema.nested_get": {"fullname": "sqlglot.schema.AbstractMappingSchema.nested_get", "modulename": "sqlglot.schema", "qualname": "AbstractMappingSchema.nested_get", "kind": "function", "doc": "

\n", "signature": "(\tself,\tparts: Sequence[str],\td: Optional[Dict] = None,\traise_on_missing=True) -> Optional[Any]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema": {"fullname": "sqlglot.schema.MappingSchema", "modulename": "sqlglot.schema", "qualname": "MappingSchema", "kind": "class", "doc": "

Schema based on a nested mapping.

\n\n
Arguments:
\n\n
    \n
  • schema: Mapping in one of the following forms:\n
      \n
    1. {table: {col: type}}
      2. \n
    2. {db: {table: {col: type}}}
      3. \n
    3. {catalog: {db: {table: {col: type}}}}
      4. \n
    4. None - Tables will be added later
      5. \n
    • \n
  • visible: Optional mapping of which columns in the schema are visible. If not provided, all columns\nare assumed to be visible. The nesting should mirror that of the schema:\n
      \n
    1. {table: set(cols)}}
      2. \n
    2. {db: {table: set(cols)}}}
      3. \n
    3. {catalog: {db: {table: set(*cols)}}}}
      4. \n
    • \n
  • dialect: The dialect to be used for custom type mappings & parsing string arguments.
    • \n
  • normalize: Whether to normalize identifier names according to the given dialect or not.
    • \n
\n", "bases": "sqlglot.schema.AbstractMappingSchema[typing.Dict[str, str]], Schema"}, "sqlglot.schema.MappingSchema.__init__": {"fullname": "sqlglot.schema.MappingSchema.__init__", "modulename": "sqlglot.schema", "qualname": "MappingSchema.__init__", "kind": "function", "doc": "

\n", "signature": "(\tschema: Optional[Dict] = None,\tvisible: Optional[Dict] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None,\tnormalize: bool = True)"}, "sqlglot.schema.MappingSchema.from_mapping_schema": {"fullname": "sqlglot.schema.MappingSchema.from_mapping_schema", "modulename": "sqlglot.schema", "qualname": "MappingSchema.from_mapping_schema", "kind": "function", "doc": "

\n", "signature": "(\tcls,\tmapping_schema: sqlglot.schema.MappingSchema) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.copy": {"fullname": "sqlglot.schema.MappingSchema.copy", "modulename": "sqlglot.schema", "qualname": "MappingSchema.copy", "kind": "function", "doc": "

\n", "signature": "(self, **kwargs) -> sqlglot.schema.MappingSchema:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.add_table": {"fullname": "sqlglot.schema.MappingSchema.add_table", "modulename": "sqlglot.schema", "qualname": "MappingSchema.add_table", "kind": "function", "doc": "

Register or update a table. Updates are only performed if a new column mapping is provided.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance or string representing the table.
    • \n
  • column_mapping: a column mapping that describes the structure of the table.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn_mapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType] = None,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> None:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.column_names": {"fullname": "sqlglot.schema.MappingSchema.column_names", "modulename": "sqlglot.schema", "qualname": "MappingSchema.column_names", "kind": "function", "doc": "

Get the column names for a table.

\n\n
Arguments:
\n\n
    \n
  • table: the Table expression instance.
    • \n
  • only_visible: whether to include invisible columns.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The list of column names.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tonly_visible: bool = False,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> List[str]:", "funcdef": "def"}, "sqlglot.schema.MappingSchema.get_column_type": {"fullname": "sqlglot.schema.MappingSchema.get_column_type", "modulename": "sqlglot.schema", "qualname": "MappingSchema.get_column_type", "kind": "function", "doc": "

Get the sqlglot.exp.DataType type of a column in the schema.

\n\n
Arguments:
\n\n
    \n
  • table: the source table.
    • \n
  • column: the target column.
    • \n
  • dialect: the SQL dialect that will be used to parse table if it's a string.
    • \n
\n\n
Returns:
\n\n
\n

The resulting column type.

\n
\n", "signature": "(\tself,\ttable: sqlglot.expressions.Table | str,\tcolumn: sqlglot.expressions.Column,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> sqlglot.expressions.DataType:", "funcdef": "def"}, "sqlglot.schema.ensure_schema": {"fullname": "sqlglot.schema.ensure_schema", "modulename": "sqlglot.schema", "qualname": "ensure_schema", "kind": "function", "doc": "

\n", "signature": "(\tschema: Union[sqlglot.schema.Schema, Dict, NoneType],\t**kwargs: Any) -> sqlglot.schema.Schema:", "funcdef": "def"}, "sqlglot.schema.ensure_column_mapping": {"fullname": "sqlglot.schema.ensure_column_mapping", "modulename": "sqlglot.schema", "qualname": "ensure_column_mapping", "kind": "function", "doc": "

\n", "signature": "(\tmapping: Union[Dict, str, sqlglot.dataframe.sql.types.StructType, List, NoneType]) -> Dict:", "funcdef": "def"}, "sqlglot.schema.flatten_schema": {"fullname": "sqlglot.schema.flatten_schema", "modulename": "sqlglot.schema", "qualname": "flatten_schema", "kind": "function", "doc": "

\n", "signature": "(\tschema: Dict,\tdepth: int,\tkeys: Optional[List[str]] = None) -> List[List[str]]:", "funcdef": "def"}, "sqlglot.schema.nested_get": {"fullname": "sqlglot.schema.nested_get", "modulename": "sqlglot.schema", "qualname": "nested_get", "kind": "function", "doc": "

Get a value for a nested dictionary.

\n\n
Arguments:
\n\n
    \n
  • d: the dictionary to search.
    • \n
  • *path: tuples of (name, key), where:\nkey is the key in the dictionary to get.\nname is a string to use in the error if key isn't found.
    • \n
\n\n
Returns:
\n\n
\n

The value or None if it doesn't exist.

\n
\n", "signature": "(\td: Dict,\t*path: Tuple[str, str],\traise_on_missing: bool = True) -> Optional[Any]:", "funcdef": "def"}, "sqlglot.schema.nested_set": {"fullname": "sqlglot.schema.nested_set", "modulename": "sqlglot.schema", "qualname": "nested_set", "kind": "function", "doc": "

In-place set a value for a nested dictionary

\n\n
Example:
\n\n
\n
\n
>>> nested_set({}, ["top_key", "second_key"], "value")\n{'top_key': {'second_key': 'value'}}\n
\n
\n \n
\n
>>> nested_set({"top_key": {"third_key": "third_value"}}, ["top_key", "second_key"], "value")\n{'top_key': {'third_key': 'third_value', 'second_key': 'value'}}\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • d: dictionary to update.
    • \n
  • keys: the keys that makeup the path to value.
    • \n
  • value: the value to set in the dictionary for the given key path.
    • \n
\n\n
Returns:
\n\n
\n

The (possibly) updated dictionary.

\n
\n", "signature": "(d: Dict, keys: Sequence[str], value: Any) -> Dict:", "funcdef": "def"}, "sqlglot.serde": {"fullname": "sqlglot.serde", "modulename": "sqlglot.serde", "kind": "module", "doc": "

\n"}, "sqlglot.serde.dump": {"fullname": "sqlglot.serde.dump", "modulename": "sqlglot.serde", "qualname": "dump", "kind": "function", "doc": "

Recursively dump an AST into a JSON-serializable dict.

\n", "signature": "(\tnode: Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool, NoneType]) -> Union[dict, list, str, float, int, bool, NoneType]:", "funcdef": "def"}, "sqlglot.serde.load": {"fullname": "sqlglot.serde.load", "modulename": "sqlglot.serde", "qualname": "load", "kind": "function", "doc": "

Recursively load a dict (as returned by dump) into an AST.

\n", "signature": "(\tobj: Union[dict, list, str, float, int, bool, NoneType]) -> Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool, NoneType]:", "funcdef": "def"}, "sqlglot.time": {"fullname": "sqlglot.time", "modulename": "sqlglot.time", "kind": "module", "doc": "

\n"}, "sqlglot.time.format_time": {"fullname": "sqlglot.time.format_time", "modulename": "sqlglot.time", "qualname": "format_time", "kind": "function", "doc": "

Converts a time string given a mapping.

\n\n
Examples:
\n\n
\n
\n
>>> format_time("%Y", {"%Y": "YYYY"})\n'YYYY'\n
\n
\n \n

Args:\n mapping: dictionary of time format to target time format.\n trie: optional trie, can be passed in for performance.

\n \n

Returns:\n The converted time string.

\n
\n", "signature": "(\tstring: str,\tmapping: Dict[str, str],\ttrie: Optional[Dict] = None) -> Optional[str]:", "funcdef": "def"}, "sqlglot.tokens": {"fullname": "sqlglot.tokens", "modulename": "sqlglot.tokens", "kind": "module", "doc": "

\n"}, "sqlglot.tokens.TokenType": {"fullname": "sqlglot.tokens.TokenType", "modulename": "sqlglot.tokens", "qualname": "TokenType", "kind": "class", "doc": "

An enumeration.

\n", "bases": "sqlglot.helper.AutoName"}, "sqlglot.tokens.TokenType.L_PAREN": {"fullname": "sqlglot.tokens.TokenType.L_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_PAREN: 'L_PAREN'>"}, "sqlglot.tokens.TokenType.R_PAREN": {"fullname": "sqlglot.tokens.TokenType.R_PAREN", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_PAREN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_PAREN: 'R_PAREN'>"}, "sqlglot.tokens.TokenType.L_BRACKET": {"fullname": "sqlglot.tokens.TokenType.L_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_BRACKET: 'L_BRACKET'>"}, "sqlglot.tokens.TokenType.R_BRACKET": {"fullname": "sqlglot.tokens.TokenType.R_BRACKET", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACKET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_BRACKET: 'R_BRACKET'>"}, "sqlglot.tokens.TokenType.L_BRACE": {"fullname": "sqlglot.tokens.TokenType.L_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.L_BRACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.L_BRACE: 'L_BRACE'>"}, "sqlglot.tokens.TokenType.R_BRACE": {"fullname": "sqlglot.tokens.TokenType.R_BRACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.R_BRACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.R_BRACE: 'R_BRACE'>"}, "sqlglot.tokens.TokenType.COMMA": {"fullname": "sqlglot.tokens.TokenType.COMMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.COMMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COMMA: 'COMMA'>"}, "sqlglot.tokens.TokenType.DOT": {"fullname": "sqlglot.tokens.TokenType.DOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOT: 'DOT'>"}, "sqlglot.tokens.TokenType.DASH": {"fullname": "sqlglot.tokens.TokenType.DASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.DASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DASH: 'DASH'>"}, "sqlglot.tokens.TokenType.PLUS": {"fullname": "sqlglot.tokens.TokenType.PLUS", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLUS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PLUS: 'PLUS'>"}, "sqlglot.tokens.TokenType.COLON": {"fullname": "sqlglot.tokens.TokenType.COLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLON: 'COLON'>"}, "sqlglot.tokens.TokenType.DCOLON": {"fullname": "sqlglot.tokens.TokenType.DCOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.DCOLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DCOLON: 'DCOLON'>"}, "sqlglot.tokens.TokenType.SEMICOLON": {"fullname": "sqlglot.tokens.TokenType.SEMICOLON", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMICOLON", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEMICOLON: 'SEMICOLON'>"}, "sqlglot.tokens.TokenType.STAR": {"fullname": "sqlglot.tokens.TokenType.STAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.STAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STAR: 'STAR'>"}, "sqlglot.tokens.TokenType.BACKSLASH": {"fullname": "sqlglot.tokens.TokenType.BACKSLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.BACKSLASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BACKSLASH: 'BACKSLASH'>"}, "sqlglot.tokens.TokenType.SLASH": {"fullname": "sqlglot.tokens.TokenType.SLASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.SLASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SLASH: 'SLASH'>"}, "sqlglot.tokens.TokenType.LT": {"fullname": "sqlglot.tokens.TokenType.LT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LT: 'LT'>"}, "sqlglot.tokens.TokenType.LTE": {"fullname": "sqlglot.tokens.TokenType.LTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.LTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LTE: 'LTE'>"}, "sqlglot.tokens.TokenType.GT": {"fullname": "sqlglot.tokens.TokenType.GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.GT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GT: 'GT'>"}, "sqlglot.tokens.TokenType.GTE": {"fullname": "sqlglot.tokens.TokenType.GTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.GTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.GTE: 'GTE'>"}, "sqlglot.tokens.TokenType.NOT": {"fullname": "sqlglot.tokens.TokenType.NOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.NOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NOT: 'NOT'>"}, "sqlglot.tokens.TokenType.EQ": {"fullname": "sqlglot.tokens.TokenType.EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.EQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.EQ: 'EQ'>"}, "sqlglot.tokens.TokenType.NEQ": {"fullname": "sqlglot.tokens.TokenType.NEQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NEQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NEQ: 'NEQ'>"}, "sqlglot.tokens.TokenType.NULLSAFE_EQ": {"fullname": "sqlglot.tokens.TokenType.NULLSAFE_EQ", "modulename": "sqlglot.tokens", "qualname": "TokenType.NULLSAFE_EQ", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NULLSAFE_EQ: 'NULLSAFE_EQ'>"}, "sqlglot.tokens.TokenType.AND": {"fullname": "sqlglot.tokens.TokenType.AND", "modulename": "sqlglot.tokens", "qualname": "TokenType.AND", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AND: 'AND'>"}, "sqlglot.tokens.TokenType.OR": {"fullname": "sqlglot.tokens.TokenType.OR", "modulename": "sqlglot.tokens", "qualname": "TokenType.OR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OR: 'OR'>"}, "sqlglot.tokens.TokenType.AMP": {"fullname": "sqlglot.tokens.TokenType.AMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.AMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AMP: 'AMP'>"}, "sqlglot.tokens.TokenType.DPIPE": {"fullname": "sqlglot.tokens.TokenType.DPIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DPIPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DPIPE: 'DPIPE'>"}, "sqlglot.tokens.TokenType.PIPE": {"fullname": "sqlglot.tokens.TokenType.PIPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PIPE: 'PIPE'>"}, "sqlglot.tokens.TokenType.CARET": {"fullname": "sqlglot.tokens.TokenType.CARET", "modulename": "sqlglot.tokens", "qualname": "TokenType.CARET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.CARET: 'CARET'>"}, "sqlglot.tokens.TokenType.TILDA": {"fullname": "sqlglot.tokens.TokenType.TILDA", "modulename": "sqlglot.tokens", "qualname": "TokenType.TILDA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TILDA: 'TILDA'>"}, "sqlglot.tokens.TokenType.ARROW": {"fullname": "sqlglot.tokens.TokenType.ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ARROW: 'ARROW'>"}, "sqlglot.tokens.TokenType.DARROW": {"fullname": "sqlglot.tokens.TokenType.DARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DARROW: 'DARROW'>"}, "sqlglot.tokens.TokenType.FARROW": {"fullname": "sqlglot.tokens.TokenType.FARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.FARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.FARROW: 'FARROW'>"}, "sqlglot.tokens.TokenType.HASH": {"fullname": "sqlglot.tokens.TokenType.HASH", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HASH: 'HASH'>"}, "sqlglot.tokens.TokenType.HASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.HASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.HASH_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HASH_ARROW: 'HASH_ARROW'>"}, "sqlglot.tokens.TokenType.DHASH_ARROW": {"fullname": "sqlglot.tokens.TokenType.DHASH_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.DHASH_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DHASH_ARROW: 'DHASH_ARROW'>"}, "sqlglot.tokens.TokenType.LR_ARROW": {"fullname": "sqlglot.tokens.TokenType.LR_ARROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.LR_ARROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LR_ARROW: 'LR_ARROW'>"}, "sqlglot.tokens.TokenType.LT_AT": {"fullname": "sqlglot.tokens.TokenType.LT_AT", "modulename": "sqlglot.tokens", "qualname": "TokenType.LT_AT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.LT_AT: 'LT_AT'>"}, "sqlglot.tokens.TokenType.AT_GT": {"fullname": "sqlglot.tokens.TokenType.AT_GT", "modulename": "sqlglot.tokens", "qualname": "TokenType.AT_GT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.AT_GT: 'AT_GT'>"}, "sqlglot.tokens.TokenType.DOLLAR": {"fullname": "sqlglot.tokens.TokenType.DOLLAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.DOLLAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DOLLAR: 'DOLLAR'>"}, "sqlglot.tokens.TokenType.PARAMETER": {"fullname": "sqlglot.tokens.TokenType.PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARAMETER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARAMETER: 'PARAMETER'>"}, "sqlglot.tokens.TokenType.SESSION_PARAMETER": {"fullname": "sqlglot.tokens.TokenType.SESSION_PARAMETER", "modulename": "sqlglot.tokens", "qualname": "TokenType.SESSION_PARAMETER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SESSION_PARAMETER: 'SESSION_PARAMETER'>"}, "sqlglot.tokens.TokenType.DAMP": {"fullname": "sqlglot.tokens.TokenType.DAMP", "modulename": "sqlglot.tokens", "qualname": "TokenType.DAMP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DAMP: 'DAMP'>"}, "sqlglot.tokens.TokenType.BLOCK_START": {"fullname": "sqlglot.tokens.TokenType.BLOCK_START", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_START", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BLOCK_START: 'BLOCK_START'>"}, "sqlglot.tokens.TokenType.BLOCK_END": {"fullname": "sqlglot.tokens.TokenType.BLOCK_END", "modulename": "sqlglot.tokens", "qualname": "TokenType.BLOCK_END", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BLOCK_END: 'BLOCK_END'>"}, "sqlglot.tokens.TokenType.SPACE": {"fullname": "sqlglot.tokens.TokenType.SPACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.SPACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SPACE: 'SPACE'>"}, "sqlglot.tokens.TokenType.BREAK": {"fullname": "sqlglot.tokens.TokenType.BREAK", "modulename": "sqlglot.tokens", "qualname": "TokenType.BREAK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BREAK: 'BREAK'>"}, "sqlglot.tokens.TokenType.STRING": {"fullname": "sqlglot.tokens.TokenType.STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STRING: 'STRING'>"}, "sqlglot.tokens.TokenType.NUMBER": {"fullname": "sqlglot.tokens.TokenType.NUMBER", "modulename": "sqlglot.tokens", "qualname": "TokenType.NUMBER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NUMBER: 'NUMBER'>"}, "sqlglot.tokens.TokenType.IDENTIFIER": {"fullname": "sqlglot.tokens.TokenType.IDENTIFIER", "modulename": "sqlglot.tokens", "qualname": "TokenType.IDENTIFIER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.IDENTIFIER: 'IDENTIFIER'>"}, "sqlglot.tokens.TokenType.DATABASE": {"fullname": "sqlglot.tokens.TokenType.DATABASE", "modulename": "sqlglot.tokens", "qualname": "TokenType.DATABASE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.DATABASE: 'DATABASE'>"}, "sqlglot.tokens.TokenType.COLUMN": {"fullname": "sqlglot.tokens.TokenType.COLUMN", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLUMN: 'COLUMN'>"}, "sqlglot.tokens.TokenType.COLUMN_DEF": {"fullname": "sqlglot.tokens.TokenType.COLUMN_DEF", "modulename": "sqlglot.tokens", "qualname": "TokenType.COLUMN_DEF", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.COLUMN_DEF: 'COLUMN_DEF'>"}, "sqlglot.tokens.TokenType.SCHEMA": {"fullname": "sqlglot.tokens.TokenType.SCHEMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.SCHEMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SCHEMA: 'SCHEMA'>"}, "sqlglot.tokens.TokenType.TABLE": {"fullname": "sqlglot.tokens.TokenType.TABLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TABLE: 'TABLE'>"}, "sqlglot.tokens.TokenType.VAR": {"fullname": "sqlglot.tokens.TokenType.VAR", "modulename": "sqlglot.tokens", "qualname": "TokenType.VAR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VAR: 'VAR'>"}, "sqlglot.tokens.TokenType.BIT_STRING": {"fullname": "sqlglot.tokens.TokenType.BIT_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIT_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIT_STRING: 'BIT_STRING'>"}, "sqlglot.tokens.TokenType.HEX_STRING": {"fullname": "sqlglot.tokens.TokenType.HEX_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.HEX_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.HEX_STRING: 'HEX_STRING'>"}, "sqlglot.tokens.TokenType.BYTE_STRING": {"fullname": "sqlglot.tokens.TokenType.BYTE_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.BYTE_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BYTE_STRING: 'BYTE_STRING'>"}, "sqlglot.tokens.TokenType.NATIONAL_STRING": {"fullname": "sqlglot.tokens.TokenType.NATIONAL_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.NATIONAL_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.NATIONAL_STRING: 'NATIONAL_STRING'>"}, "sqlglot.tokens.TokenType.RAW_STRING": {"fullname": "sqlglot.tokens.TokenType.RAW_STRING", "modulename": "sqlglot.tokens", "qualname": "TokenType.RAW_STRING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RAW_STRING: 'RAW_STRING'>"}, "sqlglot.tokens.TokenType.BIT": {"fullname": "sqlglot.tokens.TokenType.BIT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIT: 'BIT'>"}, "sqlglot.tokens.TokenType.BOOLEAN": {"fullname": "sqlglot.tokens.TokenType.BOOLEAN", "modulename": "sqlglot.tokens", "qualname": "TokenType.BOOLEAN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BOOLEAN: 'BOOLEAN'>"}, "sqlglot.tokens.TokenType.TINYINT": {"fullname": "sqlglot.tokens.TokenType.TINYINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.TINYINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TINYINT: 'TINYINT'>"}, "sqlglot.tokens.TokenType.UTINYINT": {"fullname": "sqlglot.tokens.TokenType.UTINYINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UTINYINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UTINYINT: 'UTINYINT'>"}, "sqlglot.tokens.TokenType.SMALLINT": {"fullname": "sqlglot.tokens.TokenType.SMALLINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SMALLINT: 'SMALLINT'>"}, "sqlglot.tokens.TokenType.USMALLINT": {"fullname": "sqlglot.tokens.TokenType.USMALLINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.USMALLINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USMALLINT: 'USMALLINT'>"}, "sqlglot.tokens.TokenType.INT": {"fullname": "sqlglot.tokens.TokenType.INT", "modulename": "sqlglot.tokens", "qualname": "TokenType.INT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.INT: 'INT'>"}, "sqlglot.tokens.TokenType.UINT": {"fullname": "sqlglot.tokens.TokenType.UINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UINT: 'UINT'>"}, "sqlglot.tokens.TokenType.BIGINT": {"fullname": "sqlglot.tokens.TokenType.BIGINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.BIGINT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.BIGINT: 'BIGINT'>"}, "sqlglot.tokens.TokenType.UBIGINT": {"fullname": "sqlglot.tokens.TokenType.UBIGINT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UBIGINT", "kind": "variable", "doc": "

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\n", "default_value": "<TokenType.RECURSIVE: 'RECURSIVE'>"}, "sqlglot.tokens.TokenType.REPLACE": {"fullname": "sqlglot.tokens.TokenType.REPLACE", "modulename": "sqlglot.tokens", "qualname": "TokenType.REPLACE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.REPLACE: 'REPLACE'>"}, "sqlglot.tokens.TokenType.RETURNING": {"fullname": "sqlglot.tokens.TokenType.RETURNING", "modulename": "sqlglot.tokens", "qualname": "TokenType.RETURNING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RETURNING: 'RETURNING'>"}, "sqlglot.tokens.TokenType.REFERENCES": {"fullname": "sqlglot.tokens.TokenType.REFERENCES", "modulename": "sqlglot.tokens", "qualname": "TokenType.REFERENCES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.REFERENCES: 'REFERENCES'>"}, "sqlglot.tokens.TokenType.RIGHT": {"fullname": "sqlglot.tokens.TokenType.RIGHT", "modulename": "sqlglot.tokens", "qualname": "TokenType.RIGHT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RIGHT: 'RIGHT'>"}, "sqlglot.tokens.TokenType.RLIKE": {"fullname": "sqlglot.tokens.TokenType.RLIKE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RLIKE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RLIKE: 'RLIKE'>"}, "sqlglot.tokens.TokenType.ROLLBACK": {"fullname": "sqlglot.tokens.TokenType.ROLLBACK", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLBACK", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROLLBACK: 'ROLLBACK'>"}, "sqlglot.tokens.TokenType.ROLLUP": {"fullname": "sqlglot.tokens.TokenType.ROLLUP", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROLLUP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROLLUP: 'ROLLUP'>"}, "sqlglot.tokens.TokenType.ROW": {"fullname": "sqlglot.tokens.TokenType.ROW", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROW: 'ROW'>"}, "sqlglot.tokens.TokenType.ROWS": {"fullname": "sqlglot.tokens.TokenType.ROWS", "modulename": "sqlglot.tokens", "qualname": "TokenType.ROWS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.ROWS: 'ROWS'>"}, "sqlglot.tokens.TokenType.SELECT": {"fullname": "sqlglot.tokens.TokenType.SELECT", "modulename": "sqlglot.tokens", "qualname": "TokenType.SELECT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SELECT: 'SELECT'>"}, "sqlglot.tokens.TokenType.SEMI": {"fullname": "sqlglot.tokens.TokenType.SEMI", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEMI", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEMI: 'SEMI'>"}, "sqlglot.tokens.TokenType.SEPARATOR": {"fullname": "sqlglot.tokens.TokenType.SEPARATOR", "modulename": "sqlglot.tokens", "qualname": "TokenType.SEPARATOR", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SEPARATOR: 'SEPARATOR'>"}, "sqlglot.tokens.TokenType.SERDE_PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.SERDE_PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.SERDE_PROPERTIES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SERDE_PROPERTIES: 'SERDE_PROPERTIES'>"}, "sqlglot.tokens.TokenType.SET": {"fullname": "sqlglot.tokens.TokenType.SET", "modulename": "sqlglot.tokens", "qualname": "TokenType.SET", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SET: 'SET'>"}, "sqlglot.tokens.TokenType.SETTINGS": {"fullname": "sqlglot.tokens.TokenType.SETTINGS", "modulename": "sqlglot.tokens", "qualname": "TokenType.SETTINGS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SETTINGS: 'SETTINGS'>"}, "sqlglot.tokens.TokenType.SHOW": {"fullname": "sqlglot.tokens.TokenType.SHOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.SHOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SHOW: 'SHOW'>"}, "sqlglot.tokens.TokenType.SIMILAR_TO": {"fullname": "sqlglot.tokens.TokenType.SIMILAR_TO", "modulename": "sqlglot.tokens", "qualname": "TokenType.SIMILAR_TO", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SIMILAR_TO: 'SIMILAR_TO'>"}, "sqlglot.tokens.TokenType.SOME": {"fullname": "sqlglot.tokens.TokenType.SOME", "modulename": "sqlglot.tokens", "qualname": "TokenType.SOME", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SOME: 'SOME'>"}, "sqlglot.tokens.TokenType.SORT_BY": {"fullname": "sqlglot.tokens.TokenType.SORT_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.SORT_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.SORT_BY: 'SORT_BY'>"}, "sqlglot.tokens.TokenType.STRUCT": {"fullname": "sqlglot.tokens.TokenType.STRUCT", "modulename": "sqlglot.tokens", "qualname": "TokenType.STRUCT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.STRUCT: 'STRUCT'>"}, "sqlglot.tokens.TokenType.TABLE_SAMPLE": {"fullname": "sqlglot.tokens.TokenType.TABLE_SAMPLE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TABLE_SAMPLE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>"}, "sqlglot.tokens.TokenType.TEMPORARY": {"fullname": "sqlglot.tokens.TokenType.TEMPORARY", "modulename": "sqlglot.tokens", "qualname": "TokenType.TEMPORARY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TEMPORARY: 'TEMPORARY'>"}, "sqlglot.tokens.TokenType.TOP": {"fullname": "sqlglot.tokens.TokenType.TOP", "modulename": "sqlglot.tokens", "qualname": "TokenType.TOP", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TOP: 'TOP'>"}, "sqlglot.tokens.TokenType.THEN": {"fullname": "sqlglot.tokens.TokenType.THEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.THEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.THEN: 'THEN'>"}, "sqlglot.tokens.TokenType.TRUE": {"fullname": "sqlglot.tokens.TokenType.TRUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.TRUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.TRUE: 'TRUE'>"}, "sqlglot.tokens.TokenType.UNCACHE": {"fullname": "sqlglot.tokens.TokenType.UNCACHE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNCACHE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNCACHE: 'UNCACHE'>"}, "sqlglot.tokens.TokenType.UNION": {"fullname": "sqlglot.tokens.TokenType.UNION", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNION: 'UNION'>"}, "sqlglot.tokens.TokenType.UNNEST": {"fullname": "sqlglot.tokens.TokenType.UNNEST", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNNEST", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNNEST: 'UNNEST'>"}, "sqlglot.tokens.TokenType.UNPIVOT": {"fullname": "sqlglot.tokens.TokenType.UNPIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNPIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNPIVOT: 'UNPIVOT'>"}, "sqlglot.tokens.TokenType.UPDATE": {"fullname": "sqlglot.tokens.TokenType.UPDATE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UPDATE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UPDATE: 'UPDATE'>"}, "sqlglot.tokens.TokenType.USE": {"fullname": "sqlglot.tokens.TokenType.USE", "modulename": "sqlglot.tokens", "qualname": "TokenType.USE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USE: 'USE'>"}, "sqlglot.tokens.TokenType.USING": {"fullname": "sqlglot.tokens.TokenType.USING", "modulename": "sqlglot.tokens", "qualname": "TokenType.USING", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.USING: 'USING'>"}, "sqlglot.tokens.TokenType.VALUES": {"fullname": "sqlglot.tokens.TokenType.VALUES", "modulename": "sqlglot.tokens", "qualname": "TokenType.VALUES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VALUES: 'VALUES'>"}, "sqlglot.tokens.TokenType.VIEW": {"fullname": "sqlglot.tokens.TokenType.VIEW", "modulename": "sqlglot.tokens", "qualname": "TokenType.VIEW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VIEW: 'VIEW'>"}, "sqlglot.tokens.TokenType.VOLATILE": {"fullname": "sqlglot.tokens.TokenType.VOLATILE", "modulename": "sqlglot.tokens", "qualname": "TokenType.VOLATILE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.VOLATILE: 'VOLATILE'>"}, "sqlglot.tokens.TokenType.WHEN": {"fullname": "sqlglot.tokens.TokenType.WHEN", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHEN", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHEN: 'WHEN'>"}, "sqlglot.tokens.TokenType.WHERE": {"fullname": "sqlglot.tokens.TokenType.WHERE", "modulename": "sqlglot.tokens", "qualname": "TokenType.WHERE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WHERE: 'WHERE'>"}, "sqlglot.tokens.TokenType.WINDOW": {"fullname": "sqlglot.tokens.TokenType.WINDOW", "modulename": "sqlglot.tokens", "qualname": "TokenType.WINDOW", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WINDOW: 'WINDOW'>"}, "sqlglot.tokens.TokenType.WITH": {"fullname": "sqlglot.tokens.TokenType.WITH", "modulename": "sqlglot.tokens", "qualname": "TokenType.WITH", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.WITH: 'WITH'>"}, "sqlglot.tokens.TokenType.UNIQUE": {"fullname": "sqlglot.tokens.TokenType.UNIQUE", "modulename": "sqlglot.tokens", "qualname": "TokenType.UNIQUE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.UNIQUE: 'UNIQUE'>"}, "sqlglot.tokens.Token": {"fullname": "sqlglot.tokens.Token", "modulename": "sqlglot.tokens", "qualname": "Token", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Token.__init__": {"fullname": "sqlglot.tokens.Token.__init__", "modulename": "sqlglot.tokens", "qualname": "Token.__init__", "kind": "function", "doc": "

Token initializer.

\n\n
Arguments:
\n\n
    \n
  • token_type: The TokenType Enum.
    • \n
  • text: The text of the token.
    • \n
  • line: The line that the token ends on.
    • \n
  • col: The column that the token ends on.
    • \n
  • start: The start index of the token.
    • \n
  • end: The ending index of the token.
    • \n
  • comments: The comments to attach to the token.
    • \n
\n", "signature": "(\ttoken_type: sqlglot.tokens.TokenType,\ttext: str,\tline: int = 1,\tcol: int = 1,\tstart: int = 0,\tend: int = 0,\tcomments: List[str] = [])"}, "sqlglot.tokens.Token.number": {"fullname": "sqlglot.tokens.Token.number", "modulename": "sqlglot.tokens", "qualname": "Token.number", "kind": "function", "doc": "

Returns a NUMBER token with number as its text.

\n", "signature": "(cls, number: int) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.string": {"fullname": "sqlglot.tokens.Token.string", "modulename": "sqlglot.tokens", "qualname": "Token.string", "kind": "function", "doc": "

Returns a STRING token with string as its text.

\n", "signature": "(cls, string: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.identifier": {"fullname": "sqlglot.tokens.Token.identifier", "modulename": "sqlglot.tokens", "qualname": "Token.identifier", "kind": "function", "doc": "

Returns an IDENTIFIER token with identifier as its text.

\n", "signature": "(cls, identifier: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Token.var": {"fullname": "sqlglot.tokens.Token.var", "modulename": "sqlglot.tokens", "qualname": "Token.var", "kind": "function", "doc": "

Returns an VAR token with var as its text.

\n", "signature": "(cls, var: str) -> sqlglot.tokens.Token:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer": {"fullname": "sqlglot.tokens.Tokenizer", "modulename": "sqlglot.tokens", "qualname": "Tokenizer", "kind": "class", "doc": "

\n"}, "sqlglot.tokens.Tokenizer.reset": {"fullname": "sqlglot.tokens.Tokenizer.reset", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.reset", "kind": "function", "doc": "

\n", "signature": "(self) -> None:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer.tokenize": {"fullname": "sqlglot.tokens.Tokenizer.tokenize", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.tokenize", "kind": "function", "doc": "

Returns a list of tokens corresponding to the SQL string sql.

\n", "signature": "(self, sql: str) -> List[sqlglot.tokens.Token]:", "funcdef": "def"}, "sqlglot.tokens.Tokenizer.peek": {"fullname": "sqlglot.tokens.Tokenizer.peek", "modulename": "sqlglot.tokens", "qualname": "Tokenizer.peek", "kind": "function", "doc": "

\n", "signature": "(self, i: int = 0) -> str:", "funcdef": "def"}, "sqlglot.transforms": {"fullname": "sqlglot.transforms", "modulename": "sqlglot.transforms", "kind": "module", "doc": "

\n"}, "sqlglot.transforms.unalias_group": {"fullname": "sqlglot.transforms.unalias_group", "modulename": "sqlglot.transforms", "qualname": "unalias_group", "kind": "function", "doc": "

Replace references to select aliases in GROUP BY clauses.

\n\n
Example:
\n\n
\n
\n
>>> import sqlglot\n>>> sqlglot.parse_one("SELECT a AS b FROM x GROUP BY b").transform(unalias_group).sql()\n'SELECT a AS b FROM x GROUP BY 1'\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_distinct_on": {"fullname": "sqlglot.transforms.eliminate_distinct_on", "modulename": "sqlglot.transforms", "qualname": "eliminate_distinct_on", "kind": "function", "doc": "

Convert SELECT DISTINCT ON statements to a subquery with a window function.

\n\n

This is useful for dialects that don't support SELECT DISTINCT ON but support window functions.

\n\n
Arguments:
\n\n
    \n
  • expression: the expression that will be transformed.
    • \n
\n\n
Returns:
\n\n
\n

The transformed expression.

\n
\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.eliminate_qualify": {"fullname": "sqlglot.transforms.eliminate_qualify", "modulename": "sqlglot.transforms", "qualname": "eliminate_qualify", "kind": "function", "doc": "

Convert SELECT statements that contain the QUALIFY clause into subqueries, filtered equivalently.

\n\n

The idea behind this transformation can be seen in Snowflake's documentation for QUALIFY:\nhttps://docs.snowflake.com/en/sql-reference/constructs/qualify

\n\n

Some dialects don't support window functions in the WHERE clause, so we need to include them as\nprojections in the subquery, in order to refer to them in the outer filter using aliases. Also,\nif a column is referenced in the QUALIFY clause but is not selected, we need to include it too,\notherwise we won't be able to refer to it in the outer query's WHERE clause.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_precision_parameterized_types": {"fullname": "sqlglot.transforms.remove_precision_parameterized_types", "modulename": "sqlglot.transforms", "qualname": "remove_precision_parameterized_types", "kind": "function", "doc": "

Some dialects only allow the precision for parameterized types to be defined in the DDL and not in\nother expressions. This transforms removes the precision from parameterized types in expressions.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.unnest_to_explode": {"fullname": "sqlglot.transforms.unnest_to_explode", "modulename": "sqlglot.transforms", "qualname": "unnest_to_explode", "kind": "function", "doc": "

Convert cross join unnest into lateral view explode (used in presto -> hive).

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.explode_to_unnest": {"fullname": "sqlglot.transforms.explode_to_unnest", "modulename": "sqlglot.transforms", "qualname": "explode_to_unnest", "kind": "function", "doc": "

Convert explode/posexplode into unnest (used in hive -> presto).

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_target_from_merge": {"fullname": "sqlglot.transforms.remove_target_from_merge", "modulename": "sqlglot.transforms", "qualname": "remove_target_from_merge", "kind": "function", "doc": "

Remove table refs from columns in when statements.

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.remove_within_group_for_percentiles": {"fullname": "sqlglot.transforms.remove_within_group_for_percentiles", "modulename": "sqlglot.transforms", "qualname": "remove_within_group_for_percentiles", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.add_recursive_cte_column_names": {"fullname": "sqlglot.transforms.add_recursive_cte_column_names", "modulename": "sqlglot.transforms", "qualname": "add_recursive_cte_column_names", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.epoch_cast_to_ts": {"fullname": "sqlglot.transforms.epoch_cast_to_ts", "modulename": "sqlglot.transforms", "qualname": "epoch_cast_to_ts", "kind": "function", "doc": "

\n", "signature": "(\texpression: sqlglot.expressions.Expression) -> sqlglot.expressions.Expression:", "funcdef": "def"}, "sqlglot.transforms.preprocess": {"fullname": "sqlglot.transforms.preprocess", "modulename": "sqlglot.transforms", "qualname": "preprocess", "kind": "function", "doc": "

Creates a new transform by chaining a sequence of transformations and converts the resulting\nexpression to SQL, using either the \"_sql\" method corresponding to the resulting expression,\nor the appropriate Generator.TRANSFORMS function (when applicable -- see below).

\n\n
Arguments:
\n\n
    \n
  • transforms: sequence of transform functions. These will be called in order.
    • \n
\n\n
Returns:
\n\n
\n

Function that can be used as a generator transform.

\n
\n", "signature": "(\ttransforms: List[Callable[[sqlglot.expressions.Expression], sqlglot.expressions.Expression]]) -> Callable[[sqlglot.generator.Generator, sqlglot.expressions.Expression], str]:", "funcdef": "def"}, "sqlglot.trie": {"fullname": "sqlglot.trie", "modulename": "sqlglot.trie", "kind": "module", "doc": "

\n"}, "sqlglot.trie.new_trie": {"fullname": "sqlglot.trie.new_trie", "modulename": "sqlglot.trie", "qualname": "new_trie", "kind": "function", "doc": "

Creates a new trie out of a collection of keywords.

\n\n

The trie is represented as a sequence of nested dictionaries keyed by either single character\nstrings, or by 0, which is used to designate that a keyword is in the trie.

\n\n
Example:
\n\n
\n
\n
>>> new_trie(["bla", "foo", "blab"])\n{'b': {'l': {'a': {0: True, 'b': {0: True}}}}, 'f': {'o': {'o': {0: True}}}}\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • keywords: the keywords to create the trie from.
    • \n
  • trie: a trie to mutate instead of creating a new one
    • \n
\n\n
Returns:
\n\n
\n

The trie corresponding to keywords.

\n
\n", "signature": "(\tkeywords: Iterable[Sequence[Hashable]],\ttrie: Optional[Dict] = None) -> Dict:", "funcdef": "def"}, "sqlglot.trie.in_trie": {"fullname": "sqlglot.trie.in_trie", "modulename": "sqlglot.trie", "qualname": "in_trie", "kind": "function", "doc": "

Checks whether a key is in a trie.

\n\n
Examples:
\n\n
\n
\n
>>> in_trie(new_trie(["cat"]), "bob")\n(0, {'c': {'a': {'t': {0: True}}}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "ca")\n(1, {'t': {0: True}})\n
\n
\n \n
\n
>>> in_trie(new_trie(["cat"]), "cat")\n(2, {0: True})\n
\n
\n
\n\n
Arguments:
\n\n
    \n
  • trie: the trie to be searched.
    • \n
  • key: the target key.
    • \n
\n\n
Returns:
\n\n
\n

A pair (value, subtrie), where subtrie is the sub-trie we get at the point where the search stops, and value\n is either 0 (search was unsuccessful), 1 (value is a prefix of a keyword in trie) or 2 (key is intrie`).

\n
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b/docs/sqlglot/_version.html @@ -51,8 +51,8 @@ 
1# file generated by setuptools_scm
 2# don't change, don't track in version control
-3__version__ = version = '16.2.0'
-4__version_tuple__ = version_tuple = (16, 2, 0)
+3__version__ = version = '16.3.1'
+4__version_tuple__ = version_tuple = (16, 3, 1)
diff --git a/docs/sqlglot/dataframe.html b/docs/sqlglot/dataframe.html index d86d6ff..85028ca 100644 --- a/docs/sqlglot/dataframe.html +++ b/docs/sqlglot/dataframe.html @@ -72,7 +72,7 @@
  • Install SQLGlot and that is all that is required to just generate SQL. The examples show generating SQL and then executing that SQL on a specific engine and that will require that engine's client library.
  • Find/replace all from pyspark.sql with from sqlglot.dataframe.
    • -
  • Prior to any spark.read.table or spark.table run sqlglot.schema.add_table('<table_name>', <column_structure>). +
  • Prior to any spark.read.table or spark.table run sqlglot.schema.add_table('<table_name>', <column_structure>, dialect="spark").
    • The column structure can be defined the following ways:
        @@ -111,12 +111,16 @@ from sqlglot.dataframe.sql.session import SparkSession from sqlglot.dataframe.sql import functions as F -sqlglot.schema.add_table('employee', { - 'employee_id': 'INT', - 'fname': 'STRING', - 'lname': 'STRING', - 'age': 'INT', -}) # Register the table structure prior to reading from the table +sqlglot.schema.add_table( + 'employee', + { + 'employee_id': 'INT', + 'fname': 'STRING', + 'lname': 'STRING', + 'age': 'INT', + }, + dialect="spark", +) # Register the table structure prior to reading from the table spark = SparkSession() diff --git a/docs/sqlglot/dataframe/sql.html b/docs/sqlglot/dataframe/sql.html index 5e41262..98a954c 100644 --- a/docs/sqlglot/dataframe/sql.html +++ b/docs/sqlglot/dataframe/sql.html @@ -602,7 +602,7 @@
        def - createDataFrame( self, data: Sequence[Union[Dict[str, <MagicMock id='140043311982688'>], List[<MagicMock id='140043311982688'>], Tuple]], schema: Optional[<MagicMock id='140043311598608'>] = None, samplingRatio: Optional[float] = None, verifySchema: bool = False) -> sqlglot.dataframe.sql.DataFrame: + createDataFrame( self, data: Sequence[Union[Dict[str, <MagicMock id='140135091336672'>], List[<MagicMock id='140135091336672'>], Tuple]], schema: Optional[<MagicMock id='140135091187344'>] = None, samplingRatio: Optional[float] = None, verifySchema: bool = False) -> sqlglot.dataframe.sql.DataFrame: @@ -997,505 +997,506 @@ 317 expression.alias_or_name: expression.type.sql("spark") 318 for expression in select_expression.expressions 319 }, -320 ) -321 cache_storage_level = select_expression.args["cache_storage_level"] -322 options = [ -323 exp.Literal.string("storageLevel"), -324 exp.Literal.string(cache_storage_level), -325 ] -326 expression = exp.Cache( -327 this=cache_table, expression=select_expression, lazy=True, options=options -328 ) -329 # We will drop the "view" if it exists before running the cache table -330 output_expressions.append(exp.Drop(this=cache_table, exists=True, kind="VIEW")) -331 elif expression_type == exp.Create: -332 expression = df.output_expression_container.copy() -333 expression.set("expression", select_expression) -334 elif expression_type == exp.Insert: -335 expression = df.output_expression_container.copy() -336 select_without_ctes = select_expression.copy() -337 select_without_ctes.set("with", None) -338 expression.set("expression", select_without_ctes) -339 if select_expression.ctes: -340 expression.set("with", exp.With(expressions=select_expression.ctes)) -341 elif expression_type == exp.Select: -342 expression = select_expression -343 else: -344 raise ValueError(f"Invalid expression type: {expression_type}") -345 output_expressions.append(expression) -346 -347 return [ -348 expression.sql(**{"dialect": dialect, **kwargs}) for expression in output_expressions -349 ] -350 -351 def copy(self, **kwargs) -> DataFrame: -352 return DataFrame(**object_to_dict(self, **kwargs)) -353 -354 @operation(Operation.SELECT) -355 def select(self, *cols, **kwargs) -> DataFrame: -356 cols = self._ensure_and_normalize_cols(cols) -357 kwargs["append"] = kwargs.get("append", False) -358 if self.expression.args.get("joins"): -359 ambiguous_cols = [ -360 col -361 for col in cols -362 if isinstance(col.column_expression, exp.Column) and not col.column_expression.table -363 ] -364 if ambiguous_cols: -365 join_table_identifiers = [ -366 x.this for x in get_tables_from_expression_with_join(self.expression) -367 ] -368 cte_names_in_join = [x.this for x in join_table_identifiers] -369 # If we have columns that resolve to multiple CTE expressions then we want to use each CTE left-to-right -370 # and therefore we allow multiple columns with the same name in the result. This matches the behavior -371 # of Spark. -372 resolved_column_position: t.Dict[Column, int] = {col: -1 for col in ambiguous_cols} -373 for ambiguous_col in ambiguous_cols: -374 ctes_with_column = [ -375 cte -376 for cte in self.expression.ctes -377 if cte.alias_or_name in cte_names_in_join -378 and ambiguous_col.alias_or_name in cte.this.named_selects -379 ] -380 # Check if there is a CTE with this column that we haven't used before. If so, use it. Otherwise, -381 # use the same CTE we used before -382 cte = seq_get(ctes_with_column, resolved_column_position[ambiguous_col] + 1) -383 if cte: -384 resolved_column_position[ambiguous_col] += 1 -385 else: -386 cte = ctes_with_column[resolved_column_position[ambiguous_col]] -387 ambiguous_col.expression.set("table", cte.alias_or_name) -388 return self.copy( -389 expression=self.expression.select(*[x.expression for x in cols], **kwargs), **kwargs -390 ) -391 -392 @operation(Operation.NO_OP) -393 def alias(self, name: str, **kwargs) -> DataFrame: -394 new_sequence_id = self.spark._random_sequence_id -395 df = self.copy() -396 for join_hint in df.pending_join_hints: -397 for expression in join_hint.expressions: -398 if expression.alias_or_name == self.sequence_id: -399 expression.set("this", Column.ensure_col(new_sequence_id).expression) -400 df.spark._add_alias_to_mapping(name, new_sequence_id) -401 return df._convert_leaf_to_cte(sequence_id=new_sequence_id) -402 -403 @operation(Operation.WHERE) -404 def where(self, column: t.Union[Column, bool], **kwargs) -> DataFrame: -405 col = self._ensure_and_normalize_col(column) -406 return self.copy(expression=self.expression.where(col.expression)) -407 -408 filter = where -409 -410 @operation(Operation.GROUP_BY) -411 def groupBy(self, *cols, **kwargs) -> GroupedData: -412 columns = self._ensure_and_normalize_cols(cols) -413 return GroupedData(self, columns, self.last_op) -414 -415 @operation(Operation.SELECT) -416 def agg(self, *exprs, **kwargs) -> DataFrame: -417 cols = self._ensure_and_normalize_cols(exprs) -418 return self.groupBy().agg(*cols) -419 -420 @operation(Operation.FROM) -421 def join( -422 self, -423 other_df: DataFrame, -424 on: t.Union[str, t.List[str], Column, t.List[Column]], -425 how: str = "inner", -426 **kwargs, -427 ) -> DataFrame: -428 other_df = other_df._convert_leaf_to_cte() -429 join_columns = self._ensure_list_of_columns(on) -430 # We will determine actual "join on" expression later so we don't provide it at first -431 join_expression = self.expression.join( -432 other_df.latest_cte_name, join_type=how.replace("_", " ") -433 ) -434 join_expression = self._add_ctes_to_expression(join_expression, other_df.expression.ctes) -435 self_columns = self._get_outer_select_columns(join_expression) -436 other_columns = self._get_outer_select_columns(other_df) -437 # Determines the join clause and select columns to be used passed on what type of columns were provided for -438 # the join. The columns returned changes based on how the on expression is provided. -439 if isinstance(join_columns[0].expression, exp.Column): -440 """ -441 Unique characteristics of join on column names only: -442 * The column names are put at the front of the select list -443 * The column names are deduplicated across the entire select list and only the column names (other dups are allowed) -444 """ -445 table_names = [ -446 table.alias_or_name -447 for table in get_tables_from_expression_with_join(join_expression) -448 ] -449 potential_ctes = [ -450 cte -451 for cte in join_expression.ctes -452 if cte.alias_or_name in table_names -453 and cte.alias_or_name != other_df.latest_cte_name -454 ] -455 # Determine the table to reference for the left side of the join by checking each of the left side -456 # tables and see if they have the column being referenced. -457 join_column_pairs = [] -458 for join_column in join_columns: -459 num_matching_ctes = 0 -460 for cte in potential_ctes: -461 if join_column.alias_or_name in cte.this.named_selects: -462 left_column = join_column.copy().set_table_name(cte.alias_or_name) -463 right_column = join_column.copy().set_table_name(other_df.latest_cte_name) -464 join_column_pairs.append((left_column, right_column)) -465 num_matching_ctes += 1 -466 if num_matching_ctes > 1: -467 raise ValueError( -468 f"Column {join_column.alias_or_name} is ambiguous. Please specify the table name." -469 ) -470 elif num_matching_ctes == 0: -471 raise ValueError( -472 f"Column {join_column.alias_or_name} does not exist in any of the tables." -473 ) -474 join_clause = functools.reduce( -475 lambda x, y: x & y, -476 [left_column == right_column for left_column, right_column in join_column_pairs], -477 ) -478 join_column_names = [left_col.alias_or_name for left_col, _ in join_column_pairs] -479 # To match spark behavior only the join clause gets deduplicated and it gets put in the front of the column list -480 select_column_names = [ -481 column.alias_or_name -482 if not isinstance(column.expression.this, exp.Star) -483 else column.sql() -484 for column in self_columns + other_columns -485 ] -486 select_column_names = [ -487 column_name -488 for column_name in select_column_names -489 if column_name not in join_column_names -490 ] -491 select_column_names = join_column_names + select_column_names -492 else: -493 """ -494 Unique characteristics of join on expressions: -495 * There is no deduplication of the results. -496 * The left join dataframe columns go first and right come after. No sort preference is given to join columns -497 """ -498 join_columns = self._ensure_and_normalize_cols(join_columns, join_expression) -499 if len(join_columns) > 1: -500 join_columns = [functools.reduce(lambda x, y: x & y, join_columns)] -501 join_clause = join_columns[0] -502 select_column_names = [column.alias_or_name for column in self_columns + other_columns] -503 -504 # Update the on expression with the actual join clause to replace the dummy one from before -505 join_expression.args["joins"][-1].set("on", join_clause.expression) -506 new_df = self.copy(expression=join_expression) -507 new_df.pending_join_hints.extend(self.pending_join_hints) -508 new_df.pending_hints.extend(other_df.pending_hints) -509 new_df = new_df.select.__wrapped__(new_df, *select_column_names) -510 return new_df -511 -512 @operation(Operation.ORDER_BY) -513 def orderBy( -514 self, -515 *cols: t.Union[str, Column], -516 ascending: t.Optional[t.Union[t.Any, t.List[t.Any]]] = None, -517 ) -> DataFrame: -518 """ -519 This implementation lets any ordered columns take priority over whatever is provided in `ascending`. Spark -520 has irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this -521 is unlikely to come up. -522 """ -523 columns = self._ensure_and_normalize_cols(cols) -524 pre_ordered_col_indexes = [ -525 x -526 for x in [ -527 i if isinstance(col.expression, exp.Ordered) else None -528 for i, col in enumerate(columns) -529 ] -530 if x is not None -531 ] -532 if ascending is None: -533 ascending = [True] * len(columns) -534 elif not isinstance(ascending, list): -535 ascending = [ascending] * len(columns) -536 ascending = [bool(x) for i, x in enumerate(ascending)] -537 assert len(columns) == len( -538 ascending -539 ), "The length of items in ascending must equal the number of columns provided" -540 col_and_ascending = list(zip(columns, ascending)) -541 order_by_columns = [ -542 exp.Ordered(this=col.expression, desc=not asc) -543 if i not in pre_ordered_col_indexes -544 else columns[i].column_expression -545 for i, (col, asc) in enumerate(col_and_ascending) -546 ] -547 return self.copy(expression=self.expression.order_by(*order_by_columns)) -548 -549 sort = orderBy -550 -551 @operation(Operation.FROM) -552 def union(self, other: DataFrame) -> DataFrame: -553 return self._set_operation(exp.Union, other, False) -554 -555 unionAll = union -556 -557 @operation(Operation.FROM) -558 def unionByName(self, other: DataFrame, allowMissingColumns: bool = False): -559 l_columns = self.columns -560 r_columns = other.columns -561 if not allowMissingColumns: -562 l_expressions = l_columns -563 r_expressions = l_columns -564 else: -565 l_expressions = [] -566 r_expressions = [] -567 r_columns_unused = copy(r_columns) -568 for l_column in l_columns: -569 l_expressions.append(l_column) -570 if l_column in r_columns: -571 r_expressions.append(l_column) -572 r_columns_unused.remove(l_column) -573 else: -574 r_expressions.append(exp.alias_(exp.Null(), l_column, copy=False)) -575 for r_column in r_columns_unused: -576 l_expressions.append(exp.alias_(exp.Null(), r_column, copy=False)) -577 r_expressions.append(r_column) -578 r_df = ( -579 other.copy()._convert_leaf_to_cte().select(*self._ensure_list_of_columns(r_expressions)) -580 ) -581 l_df = self.copy() -582 if allowMissingColumns: -583 l_df = l_df._convert_leaf_to_cte().select(*self._ensure_list_of_columns(l_expressions)) -584 return l_df._set_operation(exp.Union, r_df, False) -585 -586 @operation(Operation.FROM) -587 def intersect(self, other: DataFrame) -> DataFrame: -588 return self._set_operation(exp.Intersect, other, True) -589 -590 @operation(Operation.FROM) -591 def intersectAll(self, other: DataFrame) -> DataFrame: -592 return self._set_operation(exp.Intersect, other, False) -593 -594 @operation(Operation.FROM) -595 def exceptAll(self, other: DataFrame) -> DataFrame: -596 return self._set_operation(exp.Except, other, False) -597 -598 @operation(Operation.SELECT) -599 def distinct(self) -> DataFrame: -600 return self.copy(expression=self.expression.distinct()) -601 -602 @operation(Operation.SELECT) -603 def dropDuplicates(self, subset: t.Optional[t.List[str]] = None): -604 if not subset: -605 return self.distinct() -606 column_names = ensure_list(subset) -607 window = Window.partitionBy(*column_names).orderBy(*column_names) -608 return ( -609 self.copy() -610 .withColumn("row_num", F.row_number().over(window)) -611 .where(F.col("row_num") == F.lit(1)) -612 .drop("row_num") -613 ) -614 -615 @operation(Operation.FROM) -616 def dropna( -617 self, -618 how: str = "any", -619 thresh: t.Optional[int] = None, -620 subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None, -621 ) -> DataFrame: -622 minimum_non_null = thresh or 0 # will be determined later if thresh is null -623 new_df = self.copy() -624 all_columns = self._get_outer_select_columns(new_df.expression) -625 if subset: -626 null_check_columns = self._ensure_and_normalize_cols(subset) -627 else: -628 null_check_columns = all_columns -629 if thresh is None: -630 minimum_num_nulls = 1 if how == "any" else len(null_check_columns) -631 else: -632 minimum_num_nulls = len(null_check_columns) - minimum_non_null + 1 -633 if minimum_num_nulls > len(null_check_columns): -634 raise RuntimeError( -635 f"The minimum num nulls for dropna must be less than or equal to the number of columns. " -636 f"Minimum num nulls: {minimum_num_nulls}, Num Columns: {len(null_check_columns)}" -637 ) -638 if_null_checks = [ -639 F.when(column.isNull(), F.lit(1)).otherwise(F.lit(0)) for column in null_check_columns -640 ] -641 nulls_added_together = functools.reduce(lambda x, y: x + y, if_null_checks) -642 num_nulls = nulls_added_together.alias("num_nulls") -643 new_df = new_df.select(num_nulls, append=True) -644 filtered_df = new_df.where(F.col("num_nulls") < F.lit(minimum_num_nulls)) -645 final_df = filtered_df.select(*all_columns) -646 return final_df -647 -648 @operation(Operation.FROM) -649 def fillna( -650 self, -651 value: t.Union[ColumnLiterals], -652 subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None, -653 ) -> DataFrame: -654 """ -655 Functionality Difference: If you provide a value to replace a null and that type conflicts -656 with the type of the column then PySpark will just ignore your replacement. -657 This will try to cast them to be the same in some cases. So they won't always match. -658 Best to not mix types so make sure replacement is the same type as the column -659 -660 Possibility for improvement: Use `typeof` function to get the type of the column -661 and check if it matches the type of the value provided. If not then make it null. -662 """ -663 from sqlglot.dataframe.sql.functions import lit -664 -665 values = None -666 columns = None -667 new_df = self.copy() -668 all_columns = self._get_outer_select_columns(new_df.expression) -669 all_column_mapping = {column.alias_or_name: column for column in all_columns} -670 if isinstance(value, dict): -671 values = list(value.values()) -672 columns = self._ensure_and_normalize_cols(list(value)) -673 if not columns: -674 columns = self._ensure_and_normalize_cols(subset) if subset else all_columns -675 if not values: -676 values = [value] * len(columns) -677 value_columns = [lit(value) for value in values] -678 -679 null_replacement_mapping = { -680 column.alias_or_name: ( -681 F.when(column.isNull(), value).otherwise(column).alias(column.alias_or_name) -682 ) -683 for column, value in zip(columns, value_columns) -684 } -685 null_replacement_mapping = {**all_column_mapping, **null_replacement_mapping} -686 null_replacement_columns = [ -687 null_replacement_mapping[column.alias_or_name] for column in all_columns -688 ] -689 new_df = new_df.select(*null_replacement_columns) -690 return new_df -691 -692 @operation(Operation.FROM) -693 def replace( -694 self, -695 to_replace: t.Union[bool, int, float, str, t.List, t.Dict], -696 value: t.Optional[t.Union[bool, int, float, str, t.List]] = None, -697 subset: t.Optional[t.Collection[ColumnOrName] | ColumnOrName] = None, -698 ) -> DataFrame: -699 from sqlglot.dataframe.sql.functions import lit -700 -701 old_values = None -702 new_df = self.copy() -703 all_columns = self._get_outer_select_columns(new_df.expression) -704 all_column_mapping = {column.alias_or_name: column for column in all_columns} -705 -706 columns = self._ensure_and_normalize_cols(subset) if subset else all_columns -707 if isinstance(to_replace, dict): -708 old_values = list(to_replace) -709 new_values = list(to_replace.values()) -710 elif not old_values and isinstance(to_replace, list): -711 assert isinstance(value, list), "value must be a list since the replacements are a list" -712 assert len(to_replace) == len( -713 value -714 ), "the replacements and values must be the same length" -715 old_values = to_replace -716 new_values = value -717 else: -718 old_values = [to_replace] * len(columns) -719 new_values = [value] * len(columns) -720 old_values = [lit(value) for value in old_values] -721 new_values = [lit(value) for value in new_values] -722 -723 replacement_mapping = {} -724 for column in columns: -725 expression = Column(None) -726 for i, (old_value, new_value) in enumerate(zip(old_values, new_values)): -727 if i == 0: -728 expression = F.when(column == old_value, new_value) -729 else: -730 expression = expression.when(column == old_value, new_value) # type: ignore -731 replacement_mapping[column.alias_or_name] = expression.otherwise(column).alias( -732 column.expression.alias_or_name -733 ) -734 -735 replacement_mapping = {**all_column_mapping, **replacement_mapping} -736 replacement_columns = [replacement_mapping[column.alias_or_name] for column in all_columns] -737 new_df = new_df.select(*replacement_columns) -738 return new_df -739 -740 @operation(Operation.SELECT) -741 def withColumn(self, colName: str, col: Column) -> DataFrame: -742 col = self._ensure_and_normalize_col(col) -743 existing_col_names = self.expression.named_selects -744 existing_col_index = ( -745 existing_col_names.index(colName) if colName in existing_col_names else None -746 ) -747 if existing_col_index: -748 expression = self.expression.copy() -749 expression.expressions[existing_col_index] = col.expression -750 return self.copy(expression=expression) -751 return self.copy().select(col.alias(colName), append=True) -752 -753 @operation(Operation.SELECT) -754 def withColumnRenamed(self, existing: str, new: str): -755 expression = self.expression.copy() -756 existing_columns = [ -757 expression -758 for expression in expression.expressions -759 if expression.alias_or_name == existing -760 ] -761 if not existing_columns: -762 raise ValueError("Tried to rename a column that doesn't exist") -763 for existing_column in existing_columns: -764 if isinstance(existing_column, exp.Column): -765 existing_column.replace(exp.alias_(existing_column, new)) -766 else: -767 existing_column.set("alias", exp.to_identifier(new)) -768 return self.copy(expression=expression) -769 -770 @operation(Operation.SELECT) -771 def drop(self, *cols: t.Union[str, Column]) -> DataFrame: -772 all_columns = self._get_outer_select_columns(self.expression) -773 drop_cols = self._ensure_and_normalize_cols(cols) -774 new_columns = [ -775 col -776 for col in all_columns -777 if col.alias_or_name not in [drop_column.alias_or_name for drop_column in drop_cols] -778 ] -779 return self.copy().select(*new_columns, append=False) -780 -781 @operation(Operation.LIMIT) -782 def limit(self, num: int) -> DataFrame: -783 return self.copy(expression=self.expression.limit(num)) -784 -785 @operation(Operation.NO_OP) -786 def hint(self, name: str, *parameters: t.Optional[t.Union[str, int]]) -> DataFrame: -787 parameter_list = ensure_list(parameters) -788 parameter_columns = ( -789 self._ensure_list_of_columns(parameter_list) -790 if parameters -791 else Column.ensure_cols([self.sequence_id]) -792 ) -793 return self._hint(name, parameter_columns) -794 -795 @operation(Operation.NO_OP) -796 def repartition( -797 self, numPartitions: t.Union[int, ColumnOrName], *cols: ColumnOrName -798 ) -> DataFrame: -799 num_partition_cols = self._ensure_list_of_columns(numPartitions) -800 columns = self._ensure_and_normalize_cols(cols) -801 args = num_partition_cols + columns -802 return self._hint("repartition", args) -803 -804 @operation(Operation.NO_OP) -805 def coalesce(self, numPartitions: int) -> DataFrame: -806 num_partitions = Column.ensure_cols([numPartitions]) -807 return self._hint("coalesce", num_partitions) -808 -809 @operation(Operation.NO_OP) -810 def cache(self) -> DataFrame: -811 return self._cache(storage_level="MEMORY_AND_DISK") -812 -813 @operation(Operation.NO_OP) -814 def persist(self, storageLevel: str = "MEMORY_AND_DISK_SER") -> DataFrame: -815 """ -816 Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html -817 """ -818 return self._cache(storageLevel) +320 dialect="spark", +321 ) +322 cache_storage_level = select_expression.args["cache_storage_level"] +323 options = [ +324 exp.Literal.string("storageLevel"), +325 exp.Literal.string(cache_storage_level), +326 ] +327 expression = exp.Cache( +328 this=cache_table, expression=select_expression, lazy=True, options=options +329 ) +330 # We will drop the "view" if it exists before running the cache table +331 output_expressions.append(exp.Drop(this=cache_table, exists=True, kind="VIEW")) +332 elif expression_type == exp.Create: +333 expression = df.output_expression_container.copy() +334 expression.set("expression", select_expression) +335 elif expression_type == exp.Insert: +336 expression = df.output_expression_container.copy() +337 select_without_ctes = select_expression.copy() +338 select_without_ctes.set("with", None) +339 expression.set("expression", select_without_ctes) +340 if select_expression.ctes: +341 expression.set("with", exp.With(expressions=select_expression.ctes)) +342 elif expression_type == exp.Select: +343 expression = select_expression +344 else: +345 raise ValueError(f"Invalid expression type: {expression_type}") +346 output_expressions.append(expression) +347 +348 return [ +349 expression.sql(**{"dialect": dialect, **kwargs}) for expression in output_expressions +350 ] +351 +352 def copy(self, **kwargs) -> DataFrame: +353 return DataFrame(**object_to_dict(self, **kwargs)) +354 +355 @operation(Operation.SELECT) +356 def select(self, *cols, **kwargs) -> DataFrame: +357 cols = self._ensure_and_normalize_cols(cols) +358 kwargs["append"] = kwargs.get("append", False) +359 if self.expression.args.get("joins"): +360 ambiguous_cols = [ +361 col +362 for col in cols +363 if isinstance(col.column_expression, exp.Column) and not col.column_expression.table +364 ] +365 if ambiguous_cols: +366 join_table_identifiers = [ +367 x.this for x in get_tables_from_expression_with_join(self.expression) +368 ] +369 cte_names_in_join = [x.this for x in join_table_identifiers] +370 # If we have columns that resolve to multiple CTE expressions then we want to use each CTE left-to-right +371 # and therefore we allow multiple columns with the same name in the result. This matches the behavior +372 # of Spark. +373 resolved_column_position: t.Dict[Column, int] = {col: -1 for col in ambiguous_cols} +374 for ambiguous_col in ambiguous_cols: +375 ctes_with_column = [ +376 cte +377 for cte in self.expression.ctes +378 if cte.alias_or_name in cte_names_in_join +379 and ambiguous_col.alias_or_name in cte.this.named_selects +380 ] +381 # Check if there is a CTE with this column that we haven't used before. If so, use it. Otherwise, +382 # use the same CTE we used before +383 cte = seq_get(ctes_with_column, resolved_column_position[ambiguous_col] + 1) +384 if cte: +385 resolved_column_position[ambiguous_col] += 1 +386 else: +387 cte = ctes_with_column[resolved_column_position[ambiguous_col]] +388 ambiguous_col.expression.set("table", cte.alias_or_name) +389 return self.copy( +390 expression=self.expression.select(*[x.expression for x in cols], **kwargs), **kwargs +391 ) +392 +393 @operation(Operation.NO_OP) +394 def alias(self, name: str, **kwargs) -> DataFrame: +395 new_sequence_id = self.spark._random_sequence_id +396 df = self.copy() +397 for join_hint in df.pending_join_hints: +398 for expression in join_hint.expressions: +399 if expression.alias_or_name == self.sequence_id: +400 expression.set("this", Column.ensure_col(new_sequence_id).expression) +401 df.spark._add_alias_to_mapping(name, new_sequence_id) +402 return df._convert_leaf_to_cte(sequence_id=new_sequence_id) +403 +404 @operation(Operation.WHERE) +405 def where(self, column: t.Union[Column, bool], **kwargs) -> DataFrame: +406 col = self._ensure_and_normalize_col(column) +407 return self.copy(expression=self.expression.where(col.expression)) +408 +409 filter = where +410 +411 @operation(Operation.GROUP_BY) +412 def groupBy(self, *cols, **kwargs) -> GroupedData: +413 columns = self._ensure_and_normalize_cols(cols) +414 return GroupedData(self, columns, self.last_op) +415 +416 @operation(Operation.SELECT) +417 def agg(self, *exprs, **kwargs) -> DataFrame: +418 cols = self._ensure_and_normalize_cols(exprs) +419 return self.groupBy().agg(*cols) +420 +421 @operation(Operation.FROM) +422 def join( +423 self, +424 other_df: DataFrame, +425 on: t.Union[str, t.List[str], Column, t.List[Column]], +426 how: str = "inner", +427 **kwargs, +428 ) -> DataFrame: +429 other_df = other_df._convert_leaf_to_cte() +430 join_columns = self._ensure_list_of_columns(on) +431 # We will determine actual "join on" expression later so we don't provide it at first +432 join_expression = self.expression.join( +433 other_df.latest_cte_name, join_type=how.replace("_", " ") +434 ) +435 join_expression = self._add_ctes_to_expression(join_expression, other_df.expression.ctes) +436 self_columns = self._get_outer_select_columns(join_expression) +437 other_columns = self._get_outer_select_columns(other_df) +438 # Determines the join clause and select columns to be used passed on what type of columns were provided for +439 # the join. The columns returned changes based on how the on expression is provided. +440 if isinstance(join_columns[0].expression, exp.Column): +441 """ +442 Unique characteristics of join on column names only: +443 * The column names are put at the front of the select list +444 * The column names are deduplicated across the entire select list and only the column names (other dups are allowed) +445 """ +446 table_names = [ +447 table.alias_or_name +448 for table in get_tables_from_expression_with_join(join_expression) +449 ] +450 potential_ctes = [ +451 cte +452 for cte in join_expression.ctes +453 if cte.alias_or_name in table_names +454 and cte.alias_or_name != other_df.latest_cte_name +455 ] +456 # Determine the table to reference for the left side of the join by checking each of the left side +457 # tables and see if they have the column being referenced. +458 join_column_pairs = [] +459 for join_column in join_columns: +460 num_matching_ctes = 0 +461 for cte in potential_ctes: +462 if join_column.alias_or_name in cte.this.named_selects: +463 left_column = join_column.copy().set_table_name(cte.alias_or_name) +464 right_column = join_column.copy().set_table_name(other_df.latest_cte_name) +465 join_column_pairs.append((left_column, right_column)) +466 num_matching_ctes += 1 +467 if num_matching_ctes > 1: +468 raise ValueError( +469 f"Column {join_column.alias_or_name} is ambiguous. Please specify the table name." +470 ) +471 elif num_matching_ctes == 0: +472 raise ValueError( +473 f"Column {join_column.alias_or_name} does not exist in any of the tables." +474 ) +475 join_clause = functools.reduce( +476 lambda x, y: x & y, +477 [left_column == right_column for left_column, right_column in join_column_pairs], +478 ) +479 join_column_names = [left_col.alias_or_name for left_col, _ in join_column_pairs] +480 # To match spark behavior only the join clause gets deduplicated and it gets put in the front of the column list +481 select_column_names = [ +482 column.alias_or_name +483 if not isinstance(column.expression.this, exp.Star) +484 else column.sql() +485 for column in self_columns + other_columns +486 ] +487 select_column_names = [ +488 column_name +489 for column_name in select_column_names +490 if column_name not in join_column_names +491 ] +492 select_column_names = join_column_names + select_column_names +493 else: +494 """ +495 Unique characteristics of join on expressions: +496 * There is no deduplication of the results. +497 * The left join dataframe columns go first and right come after. No sort preference is given to join columns +498 """ +499 join_columns = self._ensure_and_normalize_cols(join_columns, join_expression) +500 if len(join_columns) > 1: +501 join_columns = [functools.reduce(lambda x, y: x & y, join_columns)] +502 join_clause = join_columns[0] +503 select_column_names = [column.alias_or_name for column in self_columns + other_columns] +504 +505 # Update the on expression with the actual join clause to replace the dummy one from before +506 join_expression.args["joins"][-1].set("on", join_clause.expression) +507 new_df = self.copy(expression=join_expression) +508 new_df.pending_join_hints.extend(self.pending_join_hints) +509 new_df.pending_hints.extend(other_df.pending_hints) +510 new_df = new_df.select.__wrapped__(new_df, *select_column_names) +511 return new_df +512 +513 @operation(Operation.ORDER_BY) +514 def orderBy( +515 self, +516 *cols: t.Union[str, Column], +517 ascending: t.Optional[t.Union[t.Any, t.List[t.Any]]] = None, +518 ) -> DataFrame: +519 """ +520 This implementation lets any ordered columns take priority over whatever is provided in `ascending`. Spark +521 has irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this +522 is unlikely to come up. +523 """ +524 columns = self._ensure_and_normalize_cols(cols) +525 pre_ordered_col_indexes = [ +526 x +527 for x in [ +528 i if isinstance(col.expression, exp.Ordered) else None +529 for i, col in enumerate(columns) +530 ] +531 if x is not None +532 ] +533 if ascending is None: +534 ascending = [True] * len(columns) +535 elif not isinstance(ascending, list): +536 ascending = [ascending] * len(columns) +537 ascending = [bool(x) for i, x in enumerate(ascending)] +538 assert len(columns) == len( +539 ascending +540 ), "The length of items in ascending must equal the number of columns provided" +541 col_and_ascending = list(zip(columns, ascending)) +542 order_by_columns = [ +543 exp.Ordered(this=col.expression, desc=not asc) +544 if i not in pre_ordered_col_indexes +545 else columns[i].column_expression +546 for i, (col, asc) in enumerate(col_and_ascending) +547 ] +548 return self.copy(expression=self.expression.order_by(*order_by_columns)) +549 +550 sort = orderBy +551 +552 @operation(Operation.FROM) +553 def union(self, other: DataFrame) -> DataFrame: +554 return self._set_operation(exp.Union, other, False) +555 +556 unionAll = union +557 +558 @operation(Operation.FROM) +559 def unionByName(self, other: DataFrame, allowMissingColumns: bool = False): +560 l_columns = self.columns +561 r_columns = other.columns +562 if not allowMissingColumns: +563 l_expressions = l_columns +564 r_expressions = l_columns +565 else: +566 l_expressions = [] +567 r_expressions = [] +568 r_columns_unused = copy(r_columns) +569 for l_column in l_columns: +570 l_expressions.append(l_column) +571 if l_column in r_columns: +572 r_expressions.append(l_column) +573 r_columns_unused.remove(l_column) +574 else: +575 r_expressions.append(exp.alias_(exp.Null(), l_column, copy=False)) +576 for r_column in r_columns_unused: +577 l_expressions.append(exp.alias_(exp.Null(), r_column, copy=False)) +578 r_expressions.append(r_column) +579 r_df = ( +580 other.copy()._convert_leaf_to_cte().select(*self._ensure_list_of_columns(r_expressions)) +581 ) +582 l_df = self.copy() +583 if allowMissingColumns: +584 l_df = l_df._convert_leaf_to_cte().select(*self._ensure_list_of_columns(l_expressions)) +585 return l_df._set_operation(exp.Union, r_df, False) +586 +587 @operation(Operation.FROM) +588 def intersect(self, other: DataFrame) -> DataFrame: +589 return self._set_operation(exp.Intersect, other, True) +590 +591 @operation(Operation.FROM) +592 def intersectAll(self, other: DataFrame) -> DataFrame: +593 return self._set_operation(exp.Intersect, other, False) +594 +595 @operation(Operation.FROM) +596 def exceptAll(self, other: DataFrame) -> DataFrame: +597 return self._set_operation(exp.Except, other, False) +598 +599 @operation(Operation.SELECT) +600 def distinct(self) -> DataFrame: +601 return self.copy(expression=self.expression.distinct()) +602 +603 @operation(Operation.SELECT) +604 def dropDuplicates(self, subset: t.Optional[t.List[str]] = None): +605 if not subset: +606 return self.distinct() +607 column_names = ensure_list(subset) +608 window = Window.partitionBy(*column_names).orderBy(*column_names) +609 return ( +610 self.copy() +611 .withColumn("row_num", F.row_number().over(window)) +612 .where(F.col("row_num") == F.lit(1)) +613 .drop("row_num") +614 ) +615 +616 @operation(Operation.FROM) +617 def dropna( +618 self, +619 how: str = "any", +620 thresh: t.Optional[int] = None, +621 subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None, +622 ) -> DataFrame: +623 minimum_non_null = thresh or 0 # will be determined later if thresh is null +624 new_df = self.copy() +625 all_columns = self._get_outer_select_columns(new_df.expression) +626 if subset: +627 null_check_columns = self._ensure_and_normalize_cols(subset) +628 else: +629 null_check_columns = all_columns +630 if thresh is None: +631 minimum_num_nulls = 1 if how == "any" else len(null_check_columns) +632 else: +633 minimum_num_nulls = len(null_check_columns) - minimum_non_null + 1 +634 if minimum_num_nulls > len(null_check_columns): +635 raise RuntimeError( +636 f"The minimum num nulls for dropna must be less than or equal to the number of columns. " +637 f"Minimum num nulls: {minimum_num_nulls}, Num Columns: {len(null_check_columns)}" +638 ) +639 if_null_checks = [ +640 F.when(column.isNull(), F.lit(1)).otherwise(F.lit(0)) for column in null_check_columns +641 ] +642 nulls_added_together = functools.reduce(lambda x, y: x + y, if_null_checks) +643 num_nulls = nulls_added_together.alias("num_nulls") +644 new_df = new_df.select(num_nulls, append=True) +645 filtered_df = new_df.where(F.col("num_nulls") < F.lit(minimum_num_nulls)) +646 final_df = filtered_df.select(*all_columns) +647 return final_df +648 +649 @operation(Operation.FROM) +650 def fillna( +651 self, +652 value: t.Union[ColumnLiterals], +653 subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None, +654 ) -> DataFrame: +655 """ +656 Functionality Difference: If you provide a value to replace a null and that type conflicts +657 with the type of the column then PySpark will just ignore your replacement. +658 This will try to cast them to be the same in some cases. So they won't always match. +659 Best to not mix types so make sure replacement is the same type as the column +660 +661 Possibility for improvement: Use `typeof` function to get the type of the column +662 and check if it matches the type of the value provided. If not then make it null. +663 """ +664 from sqlglot.dataframe.sql.functions import lit +665 +666 values = None +667 columns = None +668 new_df = self.copy() +669 all_columns = self._get_outer_select_columns(new_df.expression) +670 all_column_mapping = {column.alias_or_name: column for column in all_columns} +671 if isinstance(value, dict): +672 values = list(value.values()) +673 columns = self._ensure_and_normalize_cols(list(value)) +674 if not columns: +675 columns = self._ensure_and_normalize_cols(subset) if subset else all_columns +676 if not values: +677 values = [value] * len(columns) +678 value_columns = [lit(value) for value in values] +679 +680 null_replacement_mapping = { +681 column.alias_or_name: ( +682 F.when(column.isNull(), value).otherwise(column).alias(column.alias_or_name) +683 ) +684 for column, value in zip(columns, value_columns) +685 } +686 null_replacement_mapping = {**all_column_mapping, **null_replacement_mapping} +687 null_replacement_columns = [ +688 null_replacement_mapping[column.alias_or_name] for column in all_columns +689 ] +690 new_df = new_df.select(*null_replacement_columns) +691 return new_df +692 +693 @operation(Operation.FROM) +694 def replace( +695 self, +696 to_replace: t.Union[bool, int, float, str, t.List, t.Dict], +697 value: t.Optional[t.Union[bool, int, float, str, t.List]] = None, +698 subset: t.Optional[t.Collection[ColumnOrName] | ColumnOrName] = None, +699 ) -> DataFrame: +700 from sqlglot.dataframe.sql.functions import lit +701 +702 old_values = None +703 new_df = self.copy() +704 all_columns = self._get_outer_select_columns(new_df.expression) +705 all_column_mapping = {column.alias_or_name: column for column in all_columns} +706 +707 columns = self._ensure_and_normalize_cols(subset) if subset else all_columns +708 if isinstance(to_replace, dict): +709 old_values = list(to_replace) +710 new_values = list(to_replace.values()) +711 elif not old_values and isinstance(to_replace, list): +712 assert isinstance(value, list), "value must be a list since the replacements are a list" +713 assert len(to_replace) == len( +714 value +715 ), "the replacements and values must be the same length" +716 old_values = to_replace +717 new_values = value +718 else: +719 old_values = [to_replace] * len(columns) +720 new_values = [value] * len(columns) +721 old_values = [lit(value) for value in old_values] +722 new_values = [lit(value) for value in new_values] +723 +724 replacement_mapping = {} +725 for column in columns: +726 expression = Column(None) +727 for i, (old_value, new_value) in enumerate(zip(old_values, new_values)): +728 if i == 0: +729 expression = F.when(column == old_value, new_value) +730 else: +731 expression = expression.when(column == old_value, new_value) # type: ignore +732 replacement_mapping[column.alias_or_name] = expression.otherwise(column).alias( +733 column.expression.alias_or_name +734 ) +735 +736 replacement_mapping = {**all_column_mapping, **replacement_mapping} +737 replacement_columns = [replacement_mapping[column.alias_or_name] for column in all_columns] +738 new_df = new_df.select(*replacement_columns) +739 return new_df +740 +741 @operation(Operation.SELECT) +742 def withColumn(self, colName: str, col: Column) -> DataFrame: +743 col = self._ensure_and_normalize_col(col) +744 existing_col_names = self.expression.named_selects +745 existing_col_index = ( +746 existing_col_names.index(colName) if colName in existing_col_names else None +747 ) +748 if existing_col_index: +749 expression = self.expression.copy() +750 expression.expressions[existing_col_index] = col.expression +751 return self.copy(expression=expression) +752 return self.copy().select(col.alias(colName), append=True) +753 +754 @operation(Operation.SELECT) +755 def withColumnRenamed(self, existing: str, new: str): +756 expression = self.expression.copy() +757 existing_columns = [ +758 expression +759 for expression in expression.expressions +760 if expression.alias_or_name == existing +761 ] +762 if not existing_columns: +763 raise ValueError("Tried to rename a column that doesn't exist") +764 for existing_column in existing_columns: +765 if isinstance(existing_column, exp.Column): +766 existing_column.replace(exp.alias_(existing_column, new)) +767 else: +768 existing_column.set("alias", exp.to_identifier(new)) +769 return self.copy(expression=expression) +770 +771 @operation(Operation.SELECT) +772 def drop(self, *cols: t.Union[str, Column]) -> DataFrame: +773 all_columns = self._get_outer_select_columns(self.expression) +774 drop_cols = self._ensure_and_normalize_cols(cols) +775 new_columns = [ +776 col +777 for col in all_columns +778 if col.alias_or_name not in [drop_column.alias_or_name for drop_column in drop_cols] +779 ] +780 return self.copy().select(*new_columns, append=False) +781 +782 @operation(Operation.LIMIT) +783 def limit(self, num: int) -> DataFrame: +784 return self.copy(expression=self.expression.limit(num)) +785 +786 @operation(Operation.NO_OP) +787 def hint(self, name: str, *parameters: t.Optional[t.Union[str, int]]) -> DataFrame: +788 parameter_list = ensure_list(parameters) +789 parameter_columns = ( +790 self._ensure_list_of_columns(parameter_list) +791 if parameters +792 else Column.ensure_cols([self.sequence_id]) +793 ) +794 return self._hint(name, parameter_columns) +795 +796 @operation(Operation.NO_OP) +797 def repartition( +798 self, numPartitions: t.Union[int, ColumnOrName], *cols: ColumnOrName +799 ) -> DataFrame: +800 num_partition_cols = self._ensure_list_of_columns(numPartitions) +801 columns = self._ensure_and_normalize_cols(cols) +802 args = num_partition_cols + columns +803 return self._hint("repartition", args) +804 +805 @operation(Operation.NO_OP) +806 def coalesce(self, numPartitions: int) -> DataFrame: +807 num_partitions = Column.ensure_cols([numPartitions]) +808 return self._hint("coalesce", num_partitions) +809 +810 @operation(Operation.NO_OP) +811 def cache(self) -> DataFrame: +812 return self._cache(storage_level="MEMORY_AND_DISK") +813 +814 @operation(Operation.NO_OP) +815 def persist(self, storageLevel: str = "MEMORY_AND_DISK_SER") -> DataFrame: +816 """ +817 Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html +818 """ +819 return self._cache(storageLevel)
        @@ -1505,7 +1506,7 @@
        - DataFrame( spark: <MagicMock id='140043314786224'>, expression: sqlglot.expressions.Select, branch_id: Optional[str] = None, sequence_id: Optional[str] = None, last_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>, pending_hints: Optional[List[sqlglot.expressions.Expression]] = None, output_expression_container: Optional[<MagicMock id='140043314972080'>] = None, **kwargs) + DataFrame( spark: <MagicMock id='140135093941152'>, expression: sqlglot.expressions.Select, branch_id: Optional[str] = None, sequence_id: Optional[str] = None, last_op: sqlglot.dataframe.sql.operations.Operation = <Operation.INIT: -1>, pending_hints: Optional[List[sqlglot.expressions.Expression]] = None, output_expression_container: Optional[<MagicMock id='140135094093856'>] = None, **kwargs) @@ -1571,36 +1572,37 @@ 317 expression.alias_or_name: expression.type.sql("spark") 318 for expression in select_expression.expressions 319 }, -320 ) -321 cache_storage_level = select_expression.args["cache_storage_level"] -322 options = [ -323 exp.Literal.string("storageLevel"), -324 exp.Literal.string(cache_storage_level), -325 ] -326 expression = exp.Cache( -327 this=cache_table, expression=select_expression, lazy=True, options=options -328 ) -329 # We will drop the "view" if it exists before running the cache table -330 output_expressions.append(exp.Drop(this=cache_table, exists=True, kind="VIEW")) -331 elif expression_type == exp.Create: -332 expression = df.output_expression_container.copy() -333 expression.set("expression", select_expression) -334 elif expression_type == exp.Insert: -335 expression = df.output_expression_container.copy() -336 select_without_ctes = select_expression.copy() -337 select_without_ctes.set("with", None) -338 expression.set("expression", select_without_ctes) -339 if select_expression.ctes: -340 expression.set("with", exp.With(expressions=select_expression.ctes)) -341 elif expression_type == exp.Select: -342 expression = select_expression -343 else: -344 raise ValueError(f"Invalid expression type: {expression_type}") -345 output_expressions.append(expression) -346 -347 return [ -348 expression.sql(**{"dialect": dialect, **kwargs}) for expression in output_expressions -349 ] +320 dialect="spark", +321 ) +322 cache_storage_level = select_expression.args["cache_storage_level"] +323 options = [ +324 exp.Literal.string("storageLevel"), +325 exp.Literal.string(cache_storage_level), +326 ] +327 expression = exp.Cache( +328 this=cache_table, expression=select_expression, lazy=True, options=options +329 ) +330 # We will drop the "view" if it exists before running the cache table +331 output_expressions.append(exp.Drop(this=cache_table, exists=True, kind="VIEW")) +332 elif expression_type == exp.Create: +333 expression = df.output_expression_container.copy() +334 expression.set("expression", select_expression) +335 elif expression_type == exp.Insert: +336 expression = df.output_expression_container.copy() +337 select_without_ctes = select_expression.copy() +338 select_without_ctes.set("with", None) +339 expression.set("expression", select_without_ctes) +340 if select_expression.ctes: +341 expression.set("with", exp.With(expressions=select_expression.ctes)) +342 elif expression_type == exp.Select: +343 expression = select_expression +344 else: +345 raise ValueError(f"Invalid expression type: {expression_type}") +346 output_expressions.append(expression) +347 +348 return [ +349 expression.sql(**{"dialect": dialect, **kwargs}) for expression in output_expressions +350 ]
        @@ -1618,8 +1620,8 @@ - 
        351    def copy(self, **kwargs) -> DataFrame:
-352        return DataFrame(**object_to_dict(self, **kwargs))
+            
        352    def copy(self, **kwargs) -> DataFrame:
+353        return DataFrame(**object_to_dict(self, **kwargs))
 
        
 
 
@@ -1638,43 +1640,43 @@
        - 
        354    @operation(Operation.SELECT)
-355    def select(self, *cols, **kwargs) -> DataFrame:
-356        cols = self._ensure_and_normalize_cols(cols)
-357        kwargs["append"] = kwargs.get("append", False)
-358        if self.expression.args.get("joins"):
-359            ambiguous_cols = [
-360                col
-361                for col in cols
-362                if isinstance(col.column_expression, exp.Column) and not col.column_expression.table
-363            ]
-364            if ambiguous_cols:
-365                join_table_identifiers = [
-366                    x.this for x in get_tables_from_expression_with_join(self.expression)
-367                ]
-368                cte_names_in_join = [x.this for x in join_table_identifiers]
-369                # If we have columns that resolve to multiple CTE expressions then we want to use each CTE left-to-right
-370                # and therefore we allow multiple columns with the same name in the result. This matches the behavior
-371                # of Spark.
-372                resolved_column_position: t.Dict[Column, int] = {col: -1 for col in ambiguous_cols}
-373                for ambiguous_col in ambiguous_cols:
-374                    ctes_with_column = [
-375                        cte
-376                        for cte in self.expression.ctes
-377                        if cte.alias_or_name in cte_names_in_join
-378                        and ambiguous_col.alias_or_name in cte.this.named_selects
-379                    ]
-380                    # Check if there is a CTE with this column that we haven't used before. If so, use it. Otherwise,
-381                    # use the same CTE we used before
-382                    cte = seq_get(ctes_with_column, resolved_column_position[ambiguous_col] + 1)
-383                    if cte:
-384                        resolved_column_position[ambiguous_col] += 1
-385                    else:
-386                        cte = ctes_with_column[resolved_column_position[ambiguous_col]]
-387                    ambiguous_col.expression.set("table", cte.alias_or_name)
-388        return self.copy(
-389            expression=self.expression.select(*[x.expression for x in cols], **kwargs), **kwargs
-390        )
+            
        355    @operation(Operation.SELECT)
+356    def select(self, *cols, **kwargs) -> DataFrame:
+357        cols = self._ensure_and_normalize_cols(cols)
+358        kwargs["append"] = kwargs.get("append", False)
+359        if self.expression.args.get("joins"):
+360            ambiguous_cols = [
+361                col
+362                for col in cols
+363                if isinstance(col.column_expression, exp.Column) and not col.column_expression.table
+364            ]
+365            if ambiguous_cols:
+366                join_table_identifiers = [
+367                    x.this for x in get_tables_from_expression_with_join(self.expression)
+368                ]
+369                cte_names_in_join = [x.this for x in join_table_identifiers]
+370                # If we have columns that resolve to multiple CTE expressions then we want to use each CTE left-to-right
+371                # and therefore we allow multiple columns with the same name in the result. This matches the behavior
+372                # of Spark.
+373                resolved_column_position: t.Dict[Column, int] = {col: -1 for col in ambiguous_cols}
+374                for ambiguous_col in ambiguous_cols:
+375                    ctes_with_column = [
+376                        cte
+377                        for cte in self.expression.ctes
+378                        if cte.alias_or_name in cte_names_in_join
+379                        and ambiguous_col.alias_or_name in cte.this.named_selects
+380                    ]
+381                    # Check if there is a CTE with this column that we haven't used before. If so, use it. Otherwise,
+382                    # use the same CTE we used before
+383                    cte = seq_get(ctes_with_column, resolved_column_position[ambiguous_col] + 1)
+384                    if cte:
+385                        resolved_column_position[ambiguous_col] += 1
+386                    else:
+387                        cte = ctes_with_column[resolved_column_position[ambiguous_col]]
+388                    ambiguous_col.expression.set("table", cte.alias_or_name)
+389        return self.copy(
+390            expression=self.expression.select(*[x.expression for x in cols], **kwargs), **kwargs
+391        )
 
        
 
 
@@ -1693,16 +1695,16 @@
        - 
        392    @operation(Operation.NO_OP)
-393    def alias(self, name: str, **kwargs) -> DataFrame:
-394        new_sequence_id = self.spark._random_sequence_id
-395        df = self.copy()
-396        for join_hint in df.pending_join_hints:
-397            for expression in join_hint.expressions:
-398                if expression.alias_or_name == self.sequence_id:
-399                    expression.set("this", Column.ensure_col(new_sequence_id).expression)
-400        df.spark._add_alias_to_mapping(name, new_sequence_id)
-401        return df._convert_leaf_to_cte(sequence_id=new_sequence_id)
+            
        393    @operation(Operation.NO_OP)
+394    def alias(self, name: str, **kwargs) -> DataFrame:
+395        new_sequence_id = self.spark._random_sequence_id
+396        df = self.copy()
+397        for join_hint in df.pending_join_hints:
+398            for expression in join_hint.expressions:
+399                if expression.alias_or_name == self.sequence_id:
+400                    expression.set("this", Column.ensure_col(new_sequence_id).expression)
+401        df.spark._add_alias_to_mapping(name, new_sequence_id)
+402        return df._convert_leaf_to_cte(sequence_id=new_sequence_id)
 
        
 
 
@@ -1721,10 +1723,10 @@
        - 
        403    @operation(Operation.WHERE)
-404    def where(self, column: t.Union[Column, bool], **kwargs) -> DataFrame:
-405        col = self._ensure_and_normalize_col(column)
-406        return self.copy(expression=self.expression.where(col.expression))
+            
        404    @operation(Operation.WHERE)
+405    def where(self, column: t.Union[Column, bool], **kwargs) -> DataFrame:
+406        col = self._ensure_and_normalize_col(column)
+407        return self.copy(expression=self.expression.where(col.expression))
 
        
 
 
@@ -1743,10 +1745,10 @@
        - 
        403    @operation(Operation.WHERE)
-404    def where(self, column: t.Union[Column, bool], **kwargs) -> DataFrame:
-405        col = self._ensure_and_normalize_col(column)
-406        return self.copy(expression=self.expression.where(col.expression))
+            
        404    @operation(Operation.WHERE)
+405    def where(self, column: t.Union[Column, bool], **kwargs) -> DataFrame:
+406        col = self._ensure_and_normalize_col(column)
+407        return self.copy(expression=self.expression.where(col.expression))
 
        
 
 
@@ -1765,10 +1767,10 @@
        - 
        410    @operation(Operation.GROUP_BY)
-411    def groupBy(self, *cols, **kwargs) -> GroupedData:
-412        columns = self._ensure_and_normalize_cols(cols)
-413        return GroupedData(self, columns, self.last_op)
+            
        411    @operation(Operation.GROUP_BY)
+412    def groupBy(self, *cols, **kwargs) -> GroupedData:
+413        columns = self._ensure_and_normalize_cols(cols)
+414        return GroupedData(self, columns, self.last_op)
 
        
 
 
@@ -1787,10 +1789,10 @@
        - 
        415    @operation(Operation.SELECT)
-416    def agg(self, *exprs, **kwargs) -> DataFrame:
-417        cols = self._ensure_and_normalize_cols(exprs)
-418        return self.groupBy().agg(*cols)
+            
        416    @operation(Operation.SELECT)
+417    def agg(self, *exprs, **kwargs) -> DataFrame:
+418        cols = self._ensure_and_normalize_cols(exprs)
+419        return self.groupBy().agg(*cols)
 
        
 
 
@@ -1809,97 +1811,97 @@
        - 
        420    @operation(Operation.FROM)
-421    def join(
-422        self,
-423        other_df: DataFrame,
-424        on: t.Union[str, t.List[str], Column, t.List[Column]],
-425        how: str = "inner",
-426        **kwargs,
-427    ) -> DataFrame:
-428        other_df = other_df._convert_leaf_to_cte()
-429        join_columns = self._ensure_list_of_columns(on)
-430        # We will determine actual "join on" expression later so we don't provide it at first
-431        join_expression = self.expression.join(
-432            other_df.latest_cte_name, join_type=how.replace("_", " ")
-433        )
-434        join_expression = self._add_ctes_to_expression(join_expression, other_df.expression.ctes)
-435        self_columns = self._get_outer_select_columns(join_expression)
-436        other_columns = self._get_outer_select_columns(other_df)
-437        # Determines the join clause and select columns to be used passed on what type of columns were provided for
-438        # the join. The columns returned changes based on how the on expression is provided.
-439        if isinstance(join_columns[0].expression, exp.Column):
-440            """
-441            Unique characteristics of join on column names only:
-442            * The column names are put at the front of the select list
-443            * The column names are deduplicated across the entire select list and only the column names (other dups are allowed)
-444            """
-445            table_names = [
-446                table.alias_or_name
-447                for table in get_tables_from_expression_with_join(join_expression)
-448            ]
-449            potential_ctes = [
-450                cte
-451                for cte in join_expression.ctes
-452                if cte.alias_or_name in table_names
-453                and cte.alias_or_name != other_df.latest_cte_name
-454            ]
-455            # Determine the table to reference for the left side of the join by checking each of the left side
-456            # tables and see if they have the column being referenced.
-457            join_column_pairs = []
-458            for join_column in join_columns:
-459                num_matching_ctes = 0
-460                for cte in potential_ctes:
-461                    if join_column.alias_or_name in cte.this.named_selects:
-462                        left_column = join_column.copy().set_table_name(cte.alias_or_name)
-463                        right_column = join_column.copy().set_table_name(other_df.latest_cte_name)
-464                        join_column_pairs.append((left_column, right_column))
-465                        num_matching_ctes += 1
-466                if num_matching_ctes > 1:
-467                    raise ValueError(
-468                        f"Column {join_column.alias_or_name} is ambiguous. Please specify the table name."
-469                    )
-470                elif num_matching_ctes == 0:
-471                    raise ValueError(
-472                        f"Column {join_column.alias_or_name} does not exist in any of the tables."
-473                    )
-474            join_clause = functools.reduce(
-475                lambda x, y: x & y,
-476                [left_column == right_column for left_column, right_column in join_column_pairs],
-477            )
-478            join_column_names = [left_col.alias_or_name for left_col, _ in join_column_pairs]
-479            # To match spark behavior only the join clause gets deduplicated and it gets put in the front of the column list
-480            select_column_names = [
-481                column.alias_or_name
-482                if not isinstance(column.expression.this, exp.Star)
-483                else column.sql()
-484                for column in self_columns + other_columns
-485            ]
-486            select_column_names = [
-487                column_name
-488                for column_name in select_column_names
-489                if column_name not in join_column_names
-490            ]
-491            select_column_names = join_column_names + select_column_names
-492        else:
-493            """
-494            Unique characteristics of join on expressions:
-495            * There is no deduplication of the results.
-496            * The left join dataframe columns go first and right come after. No sort preference is given to join columns
-497            """
-498            join_columns = self._ensure_and_normalize_cols(join_columns, join_expression)
-499            if len(join_columns) > 1:
-500                join_columns = [functools.reduce(lambda x, y: x & y, join_columns)]
-501            join_clause = join_columns[0]
-502            select_column_names = [column.alias_or_name for column in self_columns + other_columns]
-503
-504        # Update the on expression with the actual join clause to replace the dummy one from before
-505        join_expression.args["joins"][-1].set("on", join_clause.expression)
-506        new_df = self.copy(expression=join_expression)
-507        new_df.pending_join_hints.extend(self.pending_join_hints)
-508        new_df.pending_hints.extend(other_df.pending_hints)
-509        new_df = new_df.select.__wrapped__(new_df, *select_column_names)
-510        return new_df
+            
        421    @operation(Operation.FROM)
+422    def join(
+423        self,
+424        other_df: DataFrame,
+425        on: t.Union[str, t.List[str], Column, t.List[Column]],
+426        how: str = "inner",
+427        **kwargs,
+428    ) -> DataFrame:
+429        other_df = other_df._convert_leaf_to_cte()
+430        join_columns = self._ensure_list_of_columns(on)
+431        # We will determine actual "join on" expression later so we don't provide it at first
+432        join_expression = self.expression.join(
+433            other_df.latest_cte_name, join_type=how.replace("_", " ")
+434        )
+435        join_expression = self._add_ctes_to_expression(join_expression, other_df.expression.ctes)
+436        self_columns = self._get_outer_select_columns(join_expression)
+437        other_columns = self._get_outer_select_columns(other_df)
+438        # Determines the join clause and select columns to be used passed on what type of columns were provided for
+439        # the join. The columns returned changes based on how the on expression is provided.
+440        if isinstance(join_columns[0].expression, exp.Column):
+441            """
+442            Unique characteristics of join on column names only:
+443            * The column names are put at the front of the select list
+444            * The column names are deduplicated across the entire select list and only the column names (other dups are allowed)
+445            """
+446            table_names = [
+447                table.alias_or_name
+448                for table in get_tables_from_expression_with_join(join_expression)
+449            ]
+450            potential_ctes = [
+451                cte
+452                for cte in join_expression.ctes
+453                if cte.alias_or_name in table_names
+454                and cte.alias_or_name != other_df.latest_cte_name
+455            ]
+456            # Determine the table to reference for the left side of the join by checking each of the left side
+457            # tables and see if they have the column being referenced.
+458            join_column_pairs = []
+459            for join_column in join_columns:
+460                num_matching_ctes = 0
+461                for cte in potential_ctes:
+462                    if join_column.alias_or_name in cte.this.named_selects:
+463                        left_column = join_column.copy().set_table_name(cte.alias_or_name)
+464                        right_column = join_column.copy().set_table_name(other_df.latest_cte_name)
+465                        join_column_pairs.append((left_column, right_column))
+466                        num_matching_ctes += 1
+467                if num_matching_ctes > 1:
+468                    raise ValueError(
+469                        f"Column {join_column.alias_or_name} is ambiguous. Please specify the table name."
+470                    )
+471                elif num_matching_ctes == 0:
+472                    raise ValueError(
+473                        f"Column {join_column.alias_or_name} does not exist in any of the tables."
+474                    )
+475            join_clause = functools.reduce(
+476                lambda x, y: x & y,
+477                [left_column == right_column for left_column, right_column in join_column_pairs],
+478            )
+479            join_column_names = [left_col.alias_or_name for left_col, _ in join_column_pairs]
+480            # To match spark behavior only the join clause gets deduplicated and it gets put in the front of the column list
+481            select_column_names = [
+482                column.alias_or_name
+483                if not isinstance(column.expression.this, exp.Star)
+484                else column.sql()
+485                for column in self_columns + other_columns
+486            ]
+487            select_column_names = [
+488                column_name
+489                for column_name in select_column_names
+490                if column_name not in join_column_names
+491            ]
+492            select_column_names = join_column_names + select_column_names
+493        else:
+494            """
+495            Unique characteristics of join on expressions:
+496            * There is no deduplication of the results.
+497            * The left join dataframe columns go first and right come after. No sort preference is given to join columns
+498            """
+499            join_columns = self._ensure_and_normalize_cols(join_columns, join_expression)
+500            if len(join_columns) > 1:
+501                join_columns = [functools.reduce(lambda x, y: x & y, join_columns)]
+502            join_clause = join_columns[0]
+503            select_column_names = [column.alias_or_name for column in self_columns + other_columns]
+504
+505        # Update the on expression with the actual join clause to replace the dummy one from before
+506        join_expression.args["joins"][-1].set("on", join_clause.expression)
+507        new_df = self.copy(expression=join_expression)
+508        new_df.pending_join_hints.extend(self.pending_join_hints)
+509        new_df.pending_hints.extend(other_df.pending_hints)
+510        new_df = new_df.select.__wrapped__(new_df, *select_column_names)
+511        return new_df
 
        
 
 
@@ -1918,42 +1920,42 @@
        - 
        512    @operation(Operation.ORDER_BY)
-513    def orderBy(
-514        self,
-515        *cols: t.Union[str, Column],
-516        ascending: t.Optional[t.Union[t.Any, t.List[t.Any]]] = None,
-517    ) -> DataFrame:
-518        """
-519        This implementation lets any ordered columns take priority over whatever is provided in `ascending`. Spark
-520        has irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this
-521        is unlikely to come up.
-522        """
-523        columns = self._ensure_and_normalize_cols(cols)
-524        pre_ordered_col_indexes = [
-525            x
-526            for x in [
-527                i if isinstance(col.expression, exp.Ordered) else None
-528                for i, col in enumerate(columns)
-529            ]
-530            if x is not None
-531        ]
-532        if ascending is None:
-533            ascending = [True] * len(columns)
-534        elif not isinstance(ascending, list):
-535            ascending = [ascending] * len(columns)
-536        ascending = [bool(x) for i, x in enumerate(ascending)]
-537        assert len(columns) == len(
-538            ascending
-539        ), "The length of items in ascending must equal the number of columns provided"
-540        col_and_ascending = list(zip(columns, ascending))
-541        order_by_columns = [
-542            exp.Ordered(this=col.expression, desc=not asc)
-543            if i not in pre_ordered_col_indexes
-544            else columns[i].column_expression
-545            for i, (col, asc) in enumerate(col_and_ascending)
-546        ]
-547        return self.copy(expression=self.expression.order_by(*order_by_columns))
+            
        513    @operation(Operation.ORDER_BY)
+514    def orderBy(
+515        self,
+516        *cols: t.Union[str, Column],
+517        ascending: t.Optional[t.Union[t.Any, t.List[t.Any]]] = None,
+518    ) -> DataFrame:
+519        """
+520        This implementation lets any ordered columns take priority over whatever is provided in `ascending`. Spark
+521        has irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this
+522        is unlikely to come up.
+523        """
+524        columns = self._ensure_and_normalize_cols(cols)
+525        pre_ordered_col_indexes = [
+526            x
+527            for x in [
+528                i if isinstance(col.expression, exp.Ordered) else None
+529                for i, col in enumerate(columns)
+530            ]
+531            if x is not None
+532        ]
+533        if ascending is None:
+534            ascending = [True] * len(columns)
+535        elif not isinstance(ascending, list):
+536            ascending = [ascending] * len(columns)
+537        ascending = [bool(x) for i, x in enumerate(ascending)]
+538        assert len(columns) == len(
+539            ascending
+540        ), "The length of items in ascending must equal the number of columns provided"
+541        col_and_ascending = list(zip(columns, ascending))
+542        order_by_columns = [
+543            exp.Ordered(this=col.expression, desc=not asc)
+544            if i not in pre_ordered_col_indexes
+545            else columns[i].column_expression
+546            for i, (col, asc) in enumerate(col_and_ascending)
+547        ]
+548        return self.copy(expression=self.expression.order_by(*order_by_columns))
 
        
 
 
@@ -1976,42 +1978,42 @@ is unlikely to come up.
        - 
        512    @operation(Operation.ORDER_BY)
-513    def orderBy(
-514        self,
-515        *cols: t.Union[str, Column],
-516        ascending: t.Optional[t.Union[t.Any, t.List[t.Any]]] = None,
-517    ) -> DataFrame:
-518        """
-519        This implementation lets any ordered columns take priority over whatever is provided in `ascending`. Spark
-520        has irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this
-521        is unlikely to come up.
-522        """
-523        columns = self._ensure_and_normalize_cols(cols)
-524        pre_ordered_col_indexes = [
-525            x
-526            for x in [
-527                i if isinstance(col.expression, exp.Ordered) else None
-528                for i, col in enumerate(columns)
-529            ]
-530            if x is not None
-531        ]
-532        if ascending is None:
-533            ascending = [True] * len(columns)
-534        elif not isinstance(ascending, list):
-535            ascending = [ascending] * len(columns)
-536        ascending = [bool(x) for i, x in enumerate(ascending)]
-537        assert len(columns) == len(
-538            ascending
-539        ), "The length of items in ascending must equal the number of columns provided"
-540        col_and_ascending = list(zip(columns, ascending))
-541        order_by_columns = [
-542            exp.Ordered(this=col.expression, desc=not asc)
-543            if i not in pre_ordered_col_indexes
-544            else columns[i].column_expression
-545            for i, (col, asc) in enumerate(col_and_ascending)
-546        ]
-547        return self.copy(expression=self.expression.order_by(*order_by_columns))
+            
        513    @operation(Operation.ORDER_BY)
+514    def orderBy(
+515        self,
+516        *cols: t.Union[str, Column],
+517        ascending: t.Optional[t.Union[t.Any, t.List[t.Any]]] = None,
+518    ) -> DataFrame:
+519        """
+520        This implementation lets any ordered columns take priority over whatever is provided in `ascending`. Spark
+521        has irregular behavior and can result in runtime errors. Users shouldn't be mixing the two anyways so this
+522        is unlikely to come up.
+523        """
+524        columns = self._ensure_and_normalize_cols(cols)
+525        pre_ordered_col_indexes = [
+526            x
+527            for x in [
+528                i if isinstance(col.expression, exp.Ordered) else None
+529                for i, col in enumerate(columns)
+530            ]
+531            if x is not None
+532        ]
+533        if ascending is None:
+534            ascending = [True] * len(columns)
+535        elif not isinstance(ascending, list):
+536            ascending = [ascending] * len(columns)
+537        ascending = [bool(x) for i, x in enumerate(ascending)]
+538        assert len(columns) == len(
+539            ascending
+540        ), "The length of items in ascending must equal the number of columns provided"
+541        col_and_ascending = list(zip(columns, ascending))
+542        order_by_columns = [
+543            exp.Ordered(this=col.expression, desc=not asc)
+544            if i not in pre_ordered_col_indexes
+545            else columns[i].column_expression
+546            for i, (col, asc) in enumerate(col_and_ascending)
+547        ]
+548        return self.copy(expression=self.expression.order_by(*order_by_columns))
 
        
 
 
@@ -2034,9 +2036,9 @@ is unlikely to come up.
        - 
        551    @operation(Operation.FROM)
-552    def union(self, other: DataFrame) -> DataFrame:
-553        return self._set_operation(exp.Union, other, False)
+            
        552    @operation(Operation.FROM)
+553    def union(self, other: DataFrame) -> DataFrame:
+554        return self._set_operation(exp.Union, other, False)
 
        
 
 
@@ -2055,9 +2057,9 @@ is unlikely to come up.
        - 
        551    @operation(Operation.FROM)
-552    def union(self, other: DataFrame) -> DataFrame:
-553        return self._set_operation(exp.Union, other, False)
+            
        552    @operation(Operation.FROM)
+553    def union(self, other: DataFrame) -> DataFrame:
+554        return self._set_operation(exp.Union, other, False)
 
        
 
 
@@ -2076,34 +2078,34 @@ is unlikely to come up.
        - 
        557    @operation(Operation.FROM)
-558    def unionByName(self, other: DataFrame, allowMissingColumns: bool = False):
-559        l_columns = self.columns
-560        r_columns = other.columns
-561        if not allowMissingColumns:
-562            l_expressions = l_columns
-563            r_expressions = l_columns
-564        else:
-565            l_expressions = []
-566            r_expressions = []
-567            r_columns_unused = copy(r_columns)
-568            for l_column in l_columns:
-569                l_expressions.append(l_column)
-570                if l_column in r_columns:
-571                    r_expressions.append(l_column)
-572                    r_columns_unused.remove(l_column)
-573                else:
-574                    r_expressions.append(exp.alias_(exp.Null(), l_column, copy=False))
-575            for r_column in r_columns_unused:
-576                l_expressions.append(exp.alias_(exp.Null(), r_column, copy=False))
-577                r_expressions.append(r_column)
-578        r_df = (
-579            other.copy()._convert_leaf_to_cte().select(*self._ensure_list_of_columns(r_expressions))
-580        )
-581        l_df = self.copy()
-582        if allowMissingColumns:
-583            l_df = l_df._convert_leaf_to_cte().select(*self._ensure_list_of_columns(l_expressions))
-584        return l_df._set_operation(exp.Union, r_df, False)
+            
        558    @operation(Operation.FROM)
+559    def unionByName(self, other: DataFrame, allowMissingColumns: bool = False):
+560        l_columns = self.columns
+561        r_columns = other.columns
+562        if not allowMissingColumns:
+563            l_expressions = l_columns
+564            r_expressions = l_columns
+565        else:
+566            l_expressions = []
+567            r_expressions = []
+568            r_columns_unused = copy(r_columns)
+569            for l_column in l_columns:
+570                l_expressions.append(l_column)
+571                if l_column in r_columns:
+572                    r_expressions.append(l_column)
+573                    r_columns_unused.remove(l_column)
+574                else:
+575                    r_expressions.append(exp.alias_(exp.Null(), l_column, copy=False))
+576            for r_column in r_columns_unused:
+577                l_expressions.append(exp.alias_(exp.Null(), r_column, copy=False))
+578                r_expressions.append(r_column)
+579        r_df = (
+580            other.copy()._convert_leaf_to_cte().select(*self._ensure_list_of_columns(r_expressions))
+581        )
+582        l_df = self.copy()
+583        if allowMissingColumns:
+584            l_df = l_df._convert_leaf_to_cte().select(*self._ensure_list_of_columns(l_expressions))
+585        return l_df._set_operation(exp.Union, r_df, False)
 
        
 
 
@@ -2122,9 +2124,9 @@ is unlikely to come up.
        - 
        586    @operation(Operation.FROM)
-587    def intersect(self, other: DataFrame) -> DataFrame:
-588        return self._set_operation(exp.Intersect, other, True)
+            
        587    @operation(Operation.FROM)
+588    def intersect(self, other: DataFrame) -> DataFrame:
+589        return self._set_operation(exp.Intersect, other, True)
 
        
 
 
@@ -2143,9 +2145,9 @@ is unlikely to come up.
        - 
        590    @operation(Operation.FROM)
-591    def intersectAll(self, other: DataFrame) -> DataFrame:
-592        return self._set_operation(exp.Intersect, other, False)
+            
        591    @operation(Operation.FROM)
+592    def intersectAll(self, other: DataFrame) -> DataFrame:
+593        return self._set_operation(exp.Intersect, other, False)
 
        
 
 
@@ -2164,9 +2166,9 @@ is unlikely to come up.
        - 
        594    @operation(Operation.FROM)
-595    def exceptAll(self, other: DataFrame) -> DataFrame:
-596        return self._set_operation(exp.Except, other, False)
+            
        595    @operation(Operation.FROM)
+596    def exceptAll(self, other: DataFrame) -> DataFrame:
+597        return self._set_operation(exp.Except, other, False)
 
        
 
 
@@ -2185,9 +2187,9 @@ is unlikely to come up.
        - 
        598    @operation(Operation.SELECT)
-599    def distinct(self) -> DataFrame:
-600        return self.copy(expression=self.expression.distinct())
+            
        599    @operation(Operation.SELECT)
+600    def distinct(self) -> DataFrame:
+601        return self.copy(expression=self.expression.distinct())
 
        
 
 
@@ -2206,18 +2208,18 @@ is unlikely to come up.
        - 
        602    @operation(Operation.SELECT)
-603    def dropDuplicates(self, subset: t.Optional[t.List[str]] = None):
-604        if not subset:
-605            return self.distinct()
-606        column_names = ensure_list(subset)
-607        window = Window.partitionBy(*column_names).orderBy(*column_names)
-608        return (
-609            self.copy()
-610            .withColumn("row_num", F.row_number().over(window))
-611            .where(F.col("row_num") == F.lit(1))
-612            .drop("row_num")
-613        )
+            
        603    @operation(Operation.SELECT)
+604    def dropDuplicates(self, subset: t.Optional[t.List[str]] = None):
+605        if not subset:
+606            return self.distinct()
+607        column_names = ensure_list(subset)
+608        window = Window.partitionBy(*column_names).orderBy(*column_names)
+609        return (
+610            self.copy()
+611            .withColumn("row_num", F.row_number().over(window))
+612            .where(F.col("row_num") == F.lit(1))
+613            .drop("row_num")
+614        )
 
        
 
 
@@ -2236,38 +2238,38 @@ is unlikely to come up.
        - 
        615    @operation(Operation.FROM)
-616    def dropna(
-617        self,
-618        how: str = "any",
-619        thresh: t.Optional[int] = None,
-620        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
-621    ) -> DataFrame:
-622        minimum_non_null = thresh or 0  # will be determined later if thresh is null
-623        new_df = self.copy()
-624        all_columns = self._get_outer_select_columns(new_df.expression)
-625        if subset:
-626            null_check_columns = self._ensure_and_normalize_cols(subset)
-627        else:
-628            null_check_columns = all_columns
-629        if thresh is None:
-630            minimum_num_nulls = 1 if how == "any" else len(null_check_columns)
-631        else:
-632            minimum_num_nulls = len(null_check_columns) - minimum_non_null + 1
-633        if minimum_num_nulls > len(null_check_columns):
-634            raise RuntimeError(
-635                f"The minimum num nulls for dropna must be less than or equal to the number of columns. "
-636                f"Minimum num nulls: {minimum_num_nulls}, Num Columns: {len(null_check_columns)}"
-637            )
-638        if_null_checks = [
-639            F.when(column.isNull(), F.lit(1)).otherwise(F.lit(0)) for column in null_check_columns
-640        ]
-641        nulls_added_together = functools.reduce(lambda x, y: x + y, if_null_checks)
-642        num_nulls = nulls_added_together.alias("num_nulls")
-643        new_df = new_df.select(num_nulls, append=True)
-644        filtered_df = new_df.where(F.col("num_nulls") < F.lit(minimum_num_nulls))
-645        final_df = filtered_df.select(*all_columns)
-646        return final_df
+            
        616    @operation(Operation.FROM)
+617    def dropna(
+618        self,
+619        how: str = "any",
+620        thresh: t.Optional[int] = None,
+621        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
+622    ) -> DataFrame:
+623        minimum_non_null = thresh or 0  # will be determined later if thresh is null
+624        new_df = self.copy()
+625        all_columns = self._get_outer_select_columns(new_df.expression)
+626        if subset:
+627            null_check_columns = self._ensure_and_normalize_cols(subset)
+628        else:
+629            null_check_columns = all_columns
+630        if thresh is None:
+631            minimum_num_nulls = 1 if how == "any" else len(null_check_columns)
+632        else:
+633            minimum_num_nulls = len(null_check_columns) - minimum_non_null + 1
+634        if minimum_num_nulls > len(null_check_columns):
+635            raise RuntimeError(
+636                f"The minimum num nulls for dropna must be less than or equal to the number of columns. "
+637                f"Minimum num nulls: {minimum_num_nulls}, Num Columns: {len(null_check_columns)}"
+638            )
+639        if_null_checks = [
+640            F.when(column.isNull(), F.lit(1)).otherwise(F.lit(0)) for column in null_check_columns
+641        ]
+642        nulls_added_together = functools.reduce(lambda x, y: x + y, if_null_checks)
+643        num_nulls = nulls_added_together.alias("num_nulls")
+644        new_df = new_df.select(num_nulls, append=True)
+645        filtered_df = new_df.where(F.col("num_nulls") < F.lit(minimum_num_nulls))
+646        final_df = filtered_df.select(*all_columns)
+647        return final_df
 
        
 
 
@@ -2280,55 +2282,55 @@ is unlikely to come up.
        
                     
        @operation(Operation.FROM)
        
 
         def
-        fillna(	self,	value: <MagicMock id='140043310407712'>,	subset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.DataFrame:
+        fillna(	self,	value: <MagicMock id='140135089923520'>,	subset: Union[str, Tuple[str, ...], List[str], NoneType] = None) -> sqlglot.dataframe.sql.DataFrame:
        - 
        648    @operation(Operation.FROM)
-649    def fillna(
-650        self,
-651        value: t.Union[ColumnLiterals],
-652        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
-653    ) -> DataFrame:
-654        """
-655        Functionality Difference: If you provide a value to replace a null and that type conflicts
-656        with the type of the column then PySpark will just ignore your replacement.
-657        This will try to cast them to be the same in some cases. So they won't always match.
-658        Best to not mix types so make sure replacement is the same type as the column
-659
-660        Possibility for improvement: Use `typeof` function to get the type of the column
-661        and check if it matches the type of the value provided. If not then make it null.
-662        """
-663        from sqlglot.dataframe.sql.functions import lit
-664
-665        values = None
-666        columns = None
-667        new_df = self.copy()
-668        all_columns = self._get_outer_select_columns(new_df.expression)
-669        all_column_mapping = {column.alias_or_name: column for column in all_columns}
-670        if isinstance(value, dict):
-671            values = list(value.values())
-672            columns = self._ensure_and_normalize_cols(list(value))
-673        if not columns:
-674            columns = self._ensure_and_normalize_cols(subset) if subset else all_columns
-675        if not values:
-676            values = [value] * len(columns)
-677        value_columns = [lit(value) for value in values]
-678
-679        null_replacement_mapping = {
-680            column.alias_or_name: (
-681                F.when(column.isNull(), value).otherwise(column).alias(column.alias_or_name)
-682            )
-683            for column, value in zip(columns, value_columns)
-684        }
-685        null_replacement_mapping = {**all_column_mapping, **null_replacement_mapping}
-686        null_replacement_columns = [
-687            null_replacement_mapping[column.alias_or_name] for column in all_columns
-688        ]
-689        new_df = new_df.select(*null_replacement_columns)
-690        return new_df
+            
        649    @operation(Operation.FROM)
+650    def fillna(
+651        self,
+652        value: t.Union[ColumnLiterals],
+653        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
+654    ) -> DataFrame:
+655        """
+656        Functionality Difference: If you provide a value to replace a null and that type conflicts
+657        with the type of the column then PySpark will just ignore your replacement.
+658        This will try to cast them to be the same in some cases. So they won't always match.
+659        Best to not mix types so make sure replacement is the same type as the column
+660
+661        Possibility for improvement: Use `typeof` function to get the type of the column
+662        and check if it matches the type of the value provided. If not then make it null.
+663        """
+664        from sqlglot.dataframe.sql.functions import lit
+665
+666        values = None
+667        columns = None
+668        new_df = self.copy()
+669        all_columns = self._get_outer_select_columns(new_df.expression)
+670        all_column_mapping = {column.alias_or_name: column for column in all_columns}
+671        if isinstance(value, dict):
+672            values = list(value.values())
+673            columns = self._ensure_and_normalize_cols(list(value))
+674        if not columns:
+675            columns = self._ensure_and_normalize_cols(subset) if subset else all_columns
+676        if not values:
+677            values = [value] * len(columns)
+678        value_columns = [lit(value) for value in values]
+679
+680        null_replacement_mapping = {
+681            column.alias_or_name: (
+682                F.when(column.isNull(), value).otherwise(column).alias(column.alias_or_name)
+683            )
+684            for column, value in zip(columns, value_columns)
+685        }
+686        null_replacement_mapping = {**all_column_mapping, **null_replacement_mapping}
+687        null_replacement_columns = [
+688            null_replacement_mapping[column.alias_or_name] for column in all_columns
+689        ]
+690        new_df = new_df.select(*null_replacement_columns)
+691        return new_df
 
        
 
 
@@ -2349,59 +2351,59 @@ and check if it matches the type of the value provided. If not then make it null
                     
        @operation(Operation.FROM)
        
 
         def
-        replace(	self,	to_replace: Union[bool, int, float, str, List, Dict],	value: Union[bool, int, float, str, List, NoneType] = None,	subset: Union[Collection[<MagicMock id='140043310703920'>], <MagicMock id='140043310703920'>, NoneType] = None) -> sqlglot.dataframe.sql.DataFrame:
+        replace(	self,	to_replace: Union[bool, int, float, str, List, Dict],	value: Union[bool, int, float, str, List, NoneType] = None,	subset: Union[Collection[<MagicMock id='140135090028608'>], <MagicMock id='140135090028608'>, NoneType] = None) -> sqlglot.dataframe.sql.DataFrame:
        - 
        692    @operation(Operation.FROM)
-693    def replace(
-694        self,
-695        to_replace: t.Union[bool, int, float, str, t.List, t.Dict],
-696        value: t.Optional[t.Union[bool, int, float, str, t.List]] = None,
-697        subset: t.Optional[t.Collection[ColumnOrName] | ColumnOrName] = None,
-698    ) -> DataFrame:
-699        from sqlglot.dataframe.sql.functions import lit
-700
-701        old_values = None
-702        new_df = self.copy()
-703        all_columns = self._get_outer_select_columns(new_df.expression)
-704        all_column_mapping = {column.alias_or_name: column for column in all_columns}
-705
-706        columns = self._ensure_and_normalize_cols(subset) if subset else all_columns
-707        if isinstance(to_replace, dict):
-708            old_values = list(to_replace)
-709            new_values = list(to_replace.values())
-710        elif not old_values and isinstance(to_replace, list):
-711            assert isinstance(value, list), "value must be a list since the replacements are a list"
-712            assert len(to_replace) == len(
-713                value
-714            ), "the replacements and values must be the same length"
-715            old_values = to_replace
-716            new_values = value
-717        else:
-718            old_values = [to_replace] * len(columns)
-719            new_values = [value] * len(columns)
-720        old_values = [lit(value) for value in old_values]
-721        new_values = [lit(value) for value in new_values]
-722
-723        replacement_mapping = {}
-724        for column in columns:
-725            expression = Column(None)
-726            for i, (old_value, new_value) in enumerate(zip(old_values, new_values)):
-727                if i == 0:
-728                    expression = F.when(column == old_value, new_value)
-729                else:
-730                    expression = expression.when(column == old_value, new_value)  # type: ignore
-731            replacement_mapping[column.alias_or_name] = expression.otherwise(column).alias(
-732                column.expression.alias_or_name
-733            )
-734
-735        replacement_mapping = {**all_column_mapping, **replacement_mapping}
-736        replacement_columns = [replacement_mapping[column.alias_or_name] for column in all_columns]
-737        new_df = new_df.select(*replacement_columns)
-738        return new_df
+            
        693    @operation(Operation.FROM)
+694    def replace(
+695        self,
+696        to_replace: t.Union[bool, int, float, str, t.List, t.Dict],
+697        value: t.Optional[t.Union[bool, int, float, str, t.List]] = None,
+698        subset: t.Optional[t.Collection[ColumnOrName] | ColumnOrName] = None,
+699    ) -> DataFrame:
+700        from sqlglot.dataframe.sql.functions import lit
+701
+702        old_values = None
+703        new_df = self.copy()
+704        all_columns = self._get_outer_select_columns(new_df.expression)
+705        all_column_mapping = {column.alias_or_name: column for column in all_columns}
+706
+707        columns = self._ensure_and_normalize_cols(subset) if subset else all_columns
+708        if isinstance(to_replace, dict):
+709            old_values = list(to_replace)
+710            new_values = list(to_replace.values())
+711        elif not old_values and isinstance(to_replace, list):
+712            assert isinstance(value, list), "value must be a list since the replacements are a list"
+713            assert len(to_replace) == len(
+714                value
+715            ), "the replacements and values must be the same length"
+716            old_values = to_replace
+717            new_values = value
+718        else:
+719            old_values = [to_replace] * len(columns)
+720            new_values = [value] * len(columns)
+721        old_values = [lit(value) for value in old_values]
+722        new_values = [lit(value) for value in new_values]
+723
+724        replacement_mapping = {}
+725        for column in columns:
+726            expression = Column(None)
+727            for i, (old_value, new_value) in enumerate(zip(old_values, new_values)):
+728                if i == 0:
+729                    expression = F.when(column == old_value, new_value)
+730                else:
+731                    expression = expression.when(column == old_value, new_value)  # type: ignore
+732            replacement_mapping[column.alias_or_name] = expression.otherwise(column).alias(
+733                column.expression.alias_or_name
+734            )
+735
+736        replacement_mapping = {**all_column_mapping, **replacement_mapping}
+737        replacement_columns = [replacement_mapping[column.alias_or_name] for column in all_columns]
+738        new_df = new_df.select(*replacement_columns)
+739        return new_df
 
        
 
 
@@ -2420,18 +2422,18 @@ and check if it matches the type of the value provided. If not then make it null
        - 
        740    @operation(Operation.SELECT)
-741    def withColumn(self, colName: str, col: Column) -> DataFrame:
-742        col = self._ensure_and_normalize_col(col)
-743        existing_col_names = self.expression.named_selects
-744        existing_col_index = (
-745            existing_col_names.index(colName) if colName in existing_col_names else None
-746        )
-747        if existing_col_index:
-748            expression = self.expression.copy()
-749            expression.expressions[existing_col_index] = col.expression
-750            return self.copy(expression=expression)
-751        return self.copy().select(col.alias(colName), append=True)
+            
        741    @operation(Operation.SELECT)
+742    def withColumn(self, colName: str, col: Column) -> DataFrame:
+743        col = self._ensure_and_normalize_col(col)
+744        existing_col_names = self.expression.named_selects
+745        existing_col_index = (
+746            existing_col_names.index(colName) if colName in existing_col_names else None
+747        )
+748        if existing_col_index:
+749            expression = self.expression.copy()
+750            expression.expressions[existing_col_index] = col.expression
+751            return self.copy(expression=expression)
+752        return self.copy().select(col.alias(colName), append=True)
 
        
 
 
@@ -2450,22 +2452,22 @@ and check if it matches the type of the value provided. If not then make it null
        - 
        753    @operation(Operation.SELECT)
-754    def withColumnRenamed(self, existing: str, new: str):
-755        expression = self.expression.copy()
-756        existing_columns = [
-757            expression
-758            for expression in expression.expressions
-759            if expression.alias_or_name == existing
-760        ]
-761        if not existing_columns:
-762            raise ValueError("Tried to rename a column that doesn't exist")
-763        for existing_column in existing_columns:
-764            if isinstance(existing_column, exp.Column):
-765                existing_column.replace(exp.alias_(existing_column, new))
-766            else:
-767                existing_column.set("alias", exp.to_identifier(new))
-768        return self.copy(expression=expression)
+            
        754    @operation(Operation.SELECT)
+755    def withColumnRenamed(self, existing: str, new: str):
+756        expression = self.expression.copy()
+757        existing_columns = [
+758            expression
+759            for expression in expression.expressions
+760            if expression.alias_or_name == existing
+761        ]
+762        if not existing_columns:
+763            raise ValueError("Tried to rename a column that doesn't exist")
+764        for existing_column in existing_columns:
+765            if isinstance(existing_column, exp.Column):
+766                existing_column.replace(exp.alias_(existing_column, new))
+767            else:
+768                existing_column.set("alias", exp.to_identifier(new))
+769        return self.copy(expression=expression)
 
        
 
 
@@ -2484,16 +2486,16 @@ and check if it matches the type of the value provided. If not then make it null
        - 
        770    @operation(Operation.SELECT)
-771    def drop(self, *cols: t.Union[str, Column]) -> DataFrame:
-772        all_columns = self._get_outer_select_columns(self.expression)
-773        drop_cols = self._ensure_and_normalize_cols(cols)
-774        new_columns = [
-775            col
-776            for col in all_columns
-777            if col.alias_or_name not in [drop_column.alias_or_name for drop_column in drop_cols]
-778        ]
-779        return self.copy().select(*new_columns, append=False)
+            
        771    @operation(Operation.SELECT)
+772    def drop(self, *cols: t.Union[str, Column]) -> DataFrame:
+773        all_columns = self._get_outer_select_columns(self.expression)
+774        drop_cols = self._ensure_and_normalize_cols(cols)
+775        new_columns = [
+776            col
+777            for col in all_columns
+778            if col.alias_or_name not in [drop_column.alias_or_name for drop_column in drop_cols]
+779        ]
+780        return self.copy().select(*new_columns, append=False)
 
        
 
 
@@ -2512,9 +2514,9 @@ and check if it matches the type of the value provided. If not then make it null
        - 
        781    @operation(Operation.LIMIT)
-782    def limit(self, num: int) -> DataFrame:
-783        return self.copy(expression=self.expression.limit(num))
+            
        782    @operation(Operation.LIMIT)
+783    def limit(self, num: int) -> DataFrame:
+784        return self.copy(expression=self.expression.limit(num))
 
        
 
 
@@ -2533,15 +2535,15 @@ and check if it matches the type of the value provided. If not then make it null
        - 
        785    @operation(Operation.NO_OP)
-786    def hint(self, name: str, *parameters: t.Optional[t.Union[str, int]]) -> DataFrame:
-787        parameter_list = ensure_list(parameters)
-788        parameter_columns = (
-789            self._ensure_list_of_columns(parameter_list)
-790            if parameters
-791            else Column.ensure_cols([self.sequence_id])
-792        )
-793        return self._hint(name, parameter_columns)
+            
        786    @operation(Operation.NO_OP)
+787    def hint(self, name: str, *parameters: t.Optional[t.Union[str, int]]) -> DataFrame:
+788        parameter_list = ensure_list(parameters)
+789        parameter_columns = (
+790            self._ensure_list_of_columns(parameter_list)
+791            if parameters
+792            else Column.ensure_cols([self.sequence_id])
+793        )
+794        return self._hint(name, parameter_columns)
 
        
 
 
@@ -2554,20 +2556,20 @@ and check if it matches the type of the value provided. If not then make it null
                     
        @operation(Operation.NO_OP)
        
 
         def
-        repartition(	self,	numPartitions: Union[int, <MagicMock id='140043310895632'>],	*cols: <MagicMock id='140043310935312'>) -> sqlglot.dataframe.sql.DataFrame:
+        repartition(	self,	numPartitions: Union[int, <MagicMock id='140135090130800'>],	*cols: <MagicMock id='140135090191136'>) -> sqlglot.dataframe.sql.DataFrame:
        - 
        795    @operation(Operation.NO_OP)
-796    def repartition(
-797        self, numPartitions: t.Union[int, ColumnOrName], *cols: ColumnOrName
-798    ) -> DataFrame:
-799        num_partition_cols = self._ensure_list_of_columns(numPartitions)
-800        columns = self._ensure_and_normalize_cols(cols)
-801        args = num_partition_cols + columns
-802        return self._hint("repartition", args)
+            
        796    @operation(Operation.NO_OP)
+797    def repartition(
+798        self, numPartitions: t.Union[int, ColumnOrName], *cols: ColumnOrName
+799    ) -> DataFrame:
+800        num_partition_cols = self._ensure_list_of_columns(numPartitions)
+801        columns = self._ensure_and_normalize_cols(cols)
+802        args = num_partition_cols + columns
+803        return self._hint("repartition", args)
 
        
 
 
@@ -2586,10 +2588,10 @@ and check if it matches the type of the value provided. If not then make it null
        - 
        804    @operation(Operation.NO_OP)
-805    def coalesce(self, numPartitions: int) -> DataFrame:
-806        num_partitions = Column.ensure_cols([numPartitions])
-807        return self._hint("coalesce", num_partitions)
+            
        805    @operation(Operation.NO_OP)
+806    def coalesce(self, numPartitions: int) -> DataFrame:
+807        num_partitions = Column.ensure_cols([numPartitions])
+808        return self._hint("coalesce", num_partitions)
 
        
 
 
@@ -2608,9 +2610,9 @@ and check if it matches the type of the value provided. If not then make it null
        - 
        809    @operation(Operation.NO_OP)
-810    def cache(self) -> DataFrame:
-811        return self._cache(storage_level="MEMORY_AND_DISK")
+            
        810    @operation(Operation.NO_OP)
+811    def cache(self) -> DataFrame:
+812        return self._cache(storage_level="MEMORY_AND_DISK")
 
        
 
 
@@ -2629,12 +2631,12 @@ and check if it matches the type of the value provided. If not then make it null
        - 
        813    @operation(Operation.NO_OP)
-814    def persist(self, storageLevel: str = "MEMORY_AND_DISK_SER") -> DataFrame:
-815        """
-816        Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html
-817        """
-818        return self._cache(storageLevel)
+            
        814    @operation(Operation.NO_OP)
+815    def persist(self, storageLevel: str = "MEMORY_AND_DISK_SER") -> DataFrame:
+816        """
+817        Storage Level Options: https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-cache-cache-table.html
+818        """
+819        return self._cache(storageLevel)
 
        
 
 
@@ -2904,315 +2906,319 @@ and check if it matches the type of the value provided. If not then make it null
        - 
         16class Column:
- 17    def __init__(self, expression: t.Optional[t.Union[ColumnOrLiteral, exp.Expression]]):
- 18        if isinstance(expression, Column):
- 19            expression = expression.expression  # type: ignore
- 20        elif expression is None or not isinstance(expression, (str, exp.Expression)):
- 21            expression = self._lit(expression).expression  # type: ignore
- 22
- 23        expression = sqlglot.maybe_parse(expression, dialect="spark")
- 24        if expression is None:
- 25            raise ValueError(f"Could not parse {expression}")
- 26        self.expression: exp.Expression = expression
+            
         17class Column:
+ 18    def __init__(self, expression: t.Optional[t.Union[ColumnOrLiteral, exp.Expression]]):
+ 19        if isinstance(expression, Column):
+ 20            expression = expression.expression  # type: ignore
+ 21        elif expression is None or not isinstance(expression, (str, exp.Expression)):
+ 22            expression = self._lit(expression).expression  # type: ignore
+ 23
+ 24        expression = sqlglot.maybe_parse(expression, dialect="spark")
+ 25        if expression is None:
+ 26            raise ValueError(f"Could not parse {expression}")
  27
- 28    def __repr__(self):
- 29        return repr(self.expression)
+ 28        if isinstance(expression, exp.Column):
+ 29            expression.transform(Spark.normalize_identifier, copy=False)
  30
- 31    def __hash__(self):
- 32        return hash(self.expression)
- 33
- 34    def __eq__(self, other: ColumnOrLiteral) -> Column:  # type: ignore
- 35        return self.binary_op(exp.EQ, other)
- 36
- 37    def __ne__(self, other: ColumnOrLiteral) -> Column:  # type: ignore
- 38        return self.binary_op(exp.NEQ, other)
- 39
- 40    def __gt__(self, other: ColumnOrLiteral) -> Column:
- 41        return self.binary_op(exp.GT, other)
- 42
- 43    def __ge__(self, other: ColumnOrLiteral) -> Column:
- 44        return self.binary_op(exp.GTE, other)
- 45
- 46    def __lt__(self, other: ColumnOrLiteral) -> Column:
- 47        return self.binary_op(exp.LT, other)
- 48
- 49    def __le__(self, other: ColumnOrLiteral) -> Column:
- 50        return self.binary_op(exp.LTE, other)
- 51
- 52    def __and__(self, other: ColumnOrLiteral) -> Column:
- 53        return self.binary_op(exp.And, other)
- 54
- 55    def __or__(self, other: ColumnOrLiteral) -> Column:
- 56        return self.binary_op(exp.Or, other)
- 57
- 58    def __mod__(self, other: ColumnOrLiteral) -> Column:
- 59        return self.binary_op(exp.Mod, other)
- 60
- 61    def __add__(self, other: ColumnOrLiteral) -> Column:
- 62        return self.binary_op(exp.Add, other)
- 63
- 64    def __sub__(self, other: ColumnOrLiteral) -> Column:
- 65        return self.binary_op(exp.Sub, other)
- 66
- 67    def __mul__(self, other: ColumnOrLiteral) -> Column:
- 68        return self.binary_op(exp.Mul, other)
- 69
- 70    def __truediv__(self, other: ColumnOrLiteral) -> Column:
- 71        return self.binary_op(exp.Div, other)
- 72
- 73    def __div__(self, other: ColumnOrLiteral) -> Column:
- 74        return self.binary_op(exp.Div, other)
- 75
- 76    def __neg__(self) -> Column:
- 77        return self.unary_op(exp.Neg)
- 78
- 79    def __radd__(self, other: ColumnOrLiteral) -> Column:
- 80        return self.inverse_binary_op(exp.Add, other)
- 81
- 82    def __rsub__(self, other: ColumnOrLiteral) -> Column:
- 83        return self.inverse_binary_op(exp.Sub, other)
- 84
- 85    def __rmul__(self, other: ColumnOrLiteral) -> Column:
- 86        return self.inverse_binary_op(exp.Mul, other)
- 87
- 88    def __rdiv__(self, other: ColumnOrLiteral) -> Column:
- 89        return self.inverse_binary_op(exp.Div, other)
- 90
- 91    def __rtruediv__(self, other: ColumnOrLiteral) -> Column:
- 92        return self.inverse_binary_op(exp.Div, other)
- 93
- 94    def __rmod__(self, other: ColumnOrLiteral) -> Column:
- 95        return self.inverse_binary_op(exp.Mod, other)
- 96
- 97    def __pow__(self, power: ColumnOrLiteral, modulo=None):
- 98        return Column(exp.Pow(this=self.expression, expression=Column(power).expression))
- 99
-100    def __rpow__(self, power: ColumnOrLiteral):
-101        return Column(exp.Pow(this=Column(power).expression, expression=self.expression))
-102
-103    def __invert__(self):
-104        return self.unary_op(exp.Not)
-105
-106    def __rand__(self, other: ColumnOrLiteral) -> Column:
-107        return self.inverse_binary_op(exp.And, other)
-108
-109    def __ror__(self, other: ColumnOrLiteral) -> Column:
-110        return self.inverse_binary_op(exp.Or, other)
-111
-112    @classmethod
-113    def ensure_col(cls, value: t.Optional[t.Union[ColumnOrLiteral, exp.Expression]]):
-114        return cls(value)
-115
-116    @classmethod
-117    def ensure_cols(cls, args: t.List[t.Union[ColumnOrLiteral, exp.Expression]]) -> t.List[Column]:
-118        return [cls.ensure_col(x) if not isinstance(x, Column) else x for x in args]
-119
-120    @classmethod
-121    def _lit(cls, value: ColumnOrLiteral) -> Column:
-122        if isinstance(value, dict):
-123            columns = [cls._lit(v).alias(k).expression for k, v in value.items()]
-124            return cls(exp.Struct(expressions=columns))
-125        return cls(exp.convert(value))
-126
-127    @classmethod
-128    def invoke_anonymous_function(
-129        cls, column: t.Optional[ColumnOrLiteral], func_name: str, *args: t.Optional[ColumnOrLiteral]
-130    ) -> Column:
-131        columns = [] if column is None else [cls.ensure_col(column)]
-132        column_args = [cls.ensure_col(arg) for arg in args]
-133        expressions = [x.expression for x in columns + column_args]
-134        new_expression = exp.Anonymous(this=func_name.upper(), expressions=expressions)
-135        return Column(new_expression)
-136
-137    @classmethod
-138    def invoke_expression_over_column(
-139        cls, column: t.Optional[ColumnOrLiteral], callable_expression: t.Callable, **kwargs
-140    ) -> Column:
-141        ensured_column = None if column is None else cls.ensure_col(column)
-142        ensure_expression_values = {
-143            k: [Column.ensure_col(x).expression for x in v]
-144            if is_iterable(v)
-145            else Column.ensure_col(v).expression
-146            for k, v in kwargs.items()
-147            if v is not None
-148        }
-149        new_expression = (
-150            callable_expression(**ensure_expression_values)
-151            if ensured_column is None
-152            else callable_expression(
-153                this=ensured_column.column_expression, **ensure_expression_values
-154            )
-155        )
-156        return Column(new_expression)
-157
-158    def binary_op(self, klass: t.Callable, other: ColumnOrLiteral, **kwargs) -> Column:
-159        return Column(
-160            klass(this=self.column_expression, expression=Column(other).column_expression, **kwargs)
-161        )
+ 31        self.expression: exp.Expression = expression
+ 32
+ 33    def __repr__(self):
+ 34        return repr(self.expression)
+ 35
+ 36    def __hash__(self):
+ 37        return hash(self.expression)
+ 38
+ 39    def __eq__(self, other: ColumnOrLiteral) -> Column:  # type: ignore
+ 40        return self.binary_op(exp.EQ, other)
+ 41
+ 42    def __ne__(self, other: ColumnOrLiteral) -> Column:  # type: ignore
+ 43        return self.binary_op(exp.NEQ, other)
+ 44
+ 45    def __gt__(self, other: ColumnOrLiteral) -> Column:
+ 46        return self.binary_op(exp.GT, other)
+ 47
+ 48    def __ge__(self, other: ColumnOrLiteral) -> Column:
+ 49        return self.binary_op(exp.GTE, other)
+ 50
+ 51    def __lt__(self, other: ColumnOrLiteral) -> Column:
+ 52        return self.binary_op(exp.LT, other)
+ 53
+ 54    def __le__(self, other: ColumnOrLiteral) -> Column:
+ 55        return self.binary_op(exp.LTE, other)
+ 56
+ 57    def __and__(self, other: ColumnOrLiteral) -> Column:
+ 58        return self.binary_op(exp.And, other)
+ 59
+ 60    def __or__(self, other: ColumnOrLiteral) -> Column:
+ 61        return self.binary_op(exp.Or, other)
+ 62
+ 63    def __mod__(self, other: ColumnOrLiteral) -> Column:
+ 64        return self.binary_op(exp.Mod, other)
+ 65
+ 66    def __add__(self, other: ColumnOrLiteral) -> Column:
+ 67        return self.binary_op(exp.Add, other)
+ 68
+ 69    def __sub__(self, other: ColumnOrLiteral) -> Column:
+ 70        return self.binary_op(exp.Sub, other)
+ 71
+ 72    def __mul__(self, other: ColumnOrLiteral) -> Column:
+ 73        return self.binary_op(exp.Mul, other)
+ 74
+ 75    def __truediv__(self, other: ColumnOrLiteral) -> Column:
+ 76        return self.binary_op(exp.Div, other)
+ 77
+ 78    def __div__(self, other: ColumnOrLiteral) -> Column:
+ 79        return self.binary_op(exp.Div, other)
+ 80
+ 81    def __neg__(self) -> Column:
+ 82        return self.unary_op(exp.Neg)
+ 83
+ 84    def __radd__(self, other: ColumnOrLiteral) -> Column:
+ 85        return self.inverse_binary_op(exp.Add, other)
+ 86
+ 87    def __rsub__(self, other: ColumnOrLiteral) -> Column:
+ 88        return self.inverse_binary_op(exp.Sub, other)
+ 89
+ 90    def __rmul__(self, other: ColumnOrLiteral) -> Column:
+ 91        return self.inverse_binary_op(exp.Mul, other)
+ 92
+ 93    def __rdiv__(self, other: ColumnOrLiteral) -> Column:
+ 94        return self.inverse_binary_op(exp.Div, other)
+ 95
+ 96    def __rtruediv__(self, other: ColumnOrLiteral) -> Column:
+ 97        return self.inverse_binary_op(exp.Div, other)
+ 98
+ 99    def __rmod__(self, other: ColumnOrLiteral) -> Column:
+100        return self.inverse_binary_op(exp.Mod, other)
+101
+102    def __pow__(self, power: ColumnOrLiteral, modulo=None):
+103        return Column(exp.Pow(this=self.expression, expression=Column(power).expression))
+104
+105    def __rpow__(self, power: ColumnOrLiteral):
+106        return Column(exp.Pow(this=Column(power).expression, expression=self.expression))
+107
+108    def __invert__(self):
+109        return self.unary_op(exp.Not)
+110
+111    def __rand__(self, other: ColumnOrLiteral) -> Column:
+112        return self.inverse_binary_op(exp.And, other)
+113
+114    def __ror__(self, other: ColumnOrLiteral) -> Column:
+115        return self.inverse_binary_op(exp.Or, other)
+116
+117    @classmethod
+118    def ensure_col(cls, value: t.Optional[t.Union[ColumnOrLiteral, exp.Expression]]):
+119        return cls(value)
+120
+121    @classmethod
+122    def ensure_cols(cls, args: t.List[t.Union[ColumnOrLiteral, exp.Expression]]) -> t.List[Column]:
+123        return [cls.ensure_col(x) if not isinstance(x, Column) else x for x in args]
+124
+125    @classmethod
+126    def _lit(cls, value: ColumnOrLiteral) -> Column:
+127        if isinstance(value, dict):
+128            columns = [cls._lit(v).alias(k).expression for k, v in value.items()]
+129            return cls(exp.Struct(expressions=columns))
+130        return cls(exp.convert(value))
+131
+132    @classmethod
+133    def invoke_anonymous_function(
+134        cls, column: t.Optional[ColumnOrLiteral], func_name: str, *args: t.Optional[ColumnOrLiteral]
+135    ) -> Column:
+136        columns = [] if column is None else [cls.ensure_col(column)]
+137        column_args = [cls.ensure_col(arg) for arg in args]
+138        expressions = [x.expression for x in columns + column_args]
+139        new_expression = exp.Anonymous(this=func_name.upper(), expressions=expressions)
+140        return Column(new_expression)
+141
+142    @classmethod
+143    def invoke_expression_over_column(
+144        cls, column: t.Optional[ColumnOrLiteral], callable_expression: t.Callable, **kwargs
+145    ) -> Column:
+146        ensured_column = None if column is None else cls.ensure_col(column)
+147        ensure_expression_values = {
+148            k: [Column.ensure_col(x).expression for x in v]
+149            if is_iterable(v)
+150            else Column.ensure_col(v).expression
+151            for k, v in kwargs.items()
+152            if v is not None
+153        }
+154        new_expression = (
+155            callable_expression(**ensure_expression_values)
+156            if ensured_column is None
+157            else callable_expression(
+158                this=ensured_column.column_expression, **ensure_expression_values
+159            )
+160        )
+161        return Column(new_expression)
 162
-163    def inverse_binary_op(self, klass: t.Callable, other: ColumnOrLiteral, **kwargs) -> Column:
+163    def binary_op(self, klass: t.Callable, other: ColumnOrLiteral, **kwargs) -> Column:
 164        return Column(
-165            klass(this=Column(other).column_expression, expression=self.column_expression, **kwargs)
+165            klass(this=self.column_expression, expression=Column(other).column_expression, **kwargs)
 166        )
 167
-168    def unary_op(self, klass: t.Callable, **kwargs) -> Column:
-169        return Column(klass(this=self.column_expression, **kwargs))
-170
-171    @property
-172    def is_alias(self):
-173        return isinstance(self.expression, exp.Alias)
-174
-175    @property
-176    def is_column(self):
-177        return isinstance(self.expression, exp.Column)
-178
-179    @property
-180    def column_expression(self) -> t.Union[exp.Column, exp.Literal]:
-181        return self.expression.unalias()
-182
-183    @property
-184    def alias_or_name(self) -> str:
-185        return self.expression.alias_or_name
-186
-187    @classmethod
-188    def ensure_literal(cls, value) -> Column:
-189        from sqlglot.dataframe.sql.functions import lit
-190
-191        if isinstance(value, cls):
-192            value = value.expression
-193        if not isinstance(value, exp.Literal):
-194            return lit(value)
-195        return Column(value)
-196
-197    def copy(self) -> Column:
-198        return Column(self.expression.copy())
-199
-200    def set_table_name(self, table_name: str, copy=False) -> Column:
-201        expression = self.expression.copy() if copy else self.expression
-202        expression.set("table", exp.to_identifier(table_name))
-203        return Column(expression)
+168    def inverse_binary_op(self, klass: t.Callable, other: ColumnOrLiteral, **kwargs) -> Column:
+169        return Column(
+170            klass(this=Column(other).column_expression, expression=self.column_expression, **kwargs)
+171        )
+172
+173    def unary_op(self, klass: t.Callable, **kwargs) -> Column:
+174        return Column(klass(this=self.column_expression, **kwargs))
+175
+176    @property
+177    def is_alias(self):
+178        return isinstance(self.expression, exp.Alias)
+179
+180    @property
+181    def is_column(self):
+182        return isinstance(self.expression, exp.Column)
+183
+184    @property
+185    def column_expression(self) -> t.Union[exp.Column, exp.Literal]:
+186        return self.expression.unalias()
+187
+188    @property
+189    def alias_or_name(self) -> str:
+190        return self.expression.alias_or_name
+191
+192    @classmethod
+193    def ensure_literal(cls, value) -> Column:
+194        from sqlglot.dataframe.sql.functions import lit
+195
+196        if isinstance(value, cls):
+197            value = value.expression
+198        if not isinstance(value, exp.Literal):
+199            return lit(value)
+200        return Column(value)
+201
+202    def copy(self) -> Column:
+203        return Column(self.expression.copy())
 204
-205    def sql(self, **kwargs) -> str:
-206        return self.expression.sql(**{"dialect": "spark", **kwargs})
-207
-208    def alias(self, name: str) -> Column:
-209        new_expression = exp.alias_(self.column_expression, name)
-210        return Column(new_expression)
-211
-212    def asc(self) -> Column:
-213        new_expression = exp.Ordered(this=self.column_expression, desc=False, nulls_first=True)
-214        return Column(new_expression)
-215
-216    def desc(self) -> Column:
-217        new_expression = exp.Ordered(this=self.column_expression, desc=True, nulls_first=False)
-218        return Column(new_expression)
-219
-220    asc_nulls_first = asc
-221
-222    def asc_nulls_last(self) -> Column:
-223        new_expression = exp.Ordered(this=self.column_expression, desc=False, nulls_first=False)
-224        return Column(new_expression)
-225
-226    def desc_nulls_first(self) -> Column:
-227        new_expression = exp.Ordered(this=self.column_expression, desc=True, nulls_first=True)
-228        return Column(new_expression)
-229
-230    desc_nulls_last = desc
-231
-232    def when(self, condition: Column, value: t.Any) -> Column:
-233        from sqlglot.dataframe.sql.functions import when
+205    def set_table_name(self, table_name: str, copy=False) -> Column:
+206        expression = self.expression.copy() if copy else self.expression
+207        expression.set("table", exp.to_identifier(table_name))
+208        return Column(expression)
+209
+210    def sql(self, **kwargs) -> str:
+211        return self.expression.sql(**{"dialect": "spark", **kwargs})
+212
+213    def alias(self, name: str) -> Column:
+214        new_expression = exp.alias_(self.column_expression, name)
+215        return Column(new_expression)
+216
+217    def asc(self) -> Column:
+218        new_expression = exp.Ordered(this=self.column_expression, desc=False, nulls_first=True)
+219        return Column(new_expression)
+220
+221    def desc(self) -> Column:
+222        new_expression = exp.Ordered(this=self.column_expression, desc=True, nulls_first=False)
+223        return Column(new_expression)
+224
+225    asc_nulls_first = asc
+226
+227    def asc_nulls_last(self) -> Column:
+228        new_expression = exp.Ordered(this=self.column_expression, desc=False, nulls_first=False)
+229        return Column(new_expression)
+230
+231    def desc_nulls_first(self) -> Column:
+232        new_expression = exp.Ordered(this=self.column_expression, desc=True, nulls_first=True)
+233        return Column(new_expression)
 234
-235        column_with_if = when(condition, value)
-236        if not isinstance(self.expression, exp.Case):
-237            return column_with_if
-238        new_column = self.copy()
-239        new_column.expression.args["ifs"].extend(column_with_if.expression.args["ifs"])
-240        return new_column
-241
-242    def otherwise(self, value: t.Any) -> Column:
-243        from sqlglot.dataframe.sql.functions import lit
-244
-245        true_value = value if isinstance(value, Column) else lit(value)
-246        new_column = self.copy()
-247        new_column.expression.set("default", true_value.column_expression)
-248        return new_column
+235    desc_nulls_last = desc
+236
+237    def when(self, condition: Column, value: t.Any) -> Column:
+238        from sqlglot.dataframe.sql.functions import when
+239
+240        column_with_if = when(condition, value)
+241        if not isinstance(self.expression, exp.Case):
+242            return column_with_if
+243        new_column = self.copy()
+244        new_column.expression.args["ifs"].extend(column_with_if.expression.args["ifs"])
+245        return new_column
+246
+247    def otherwise(self, value: t.Any) -> Column:
+248        from sqlglot.dataframe.sql.functions import lit
 249
-250    def isNull(self) -> Column:
-251        new_expression = exp.Is(this=self.column_expression, expression=exp.Null())
-252        return Column(new_expression)
-253
-254    def isNotNull(self) -> Column:
-255        new_expression = exp.Not(this=exp.Is(this=self.column_expression, expression=exp.Null()))
-256        return Column(new_expression)
-257
-258    def cast(self, dataType: t.Union[str, DataType]):
-259        """
-260        Functionality Difference: PySpark cast accepts a datatype instance of the datatype class
-261        Sqlglot doesn't currently replicate this class so it only accepts a string
-262        """
-263        if isinstance(dataType, DataType):
-264            dataType = dataType.simpleString()
-265        return Column(exp.cast(self.column_expression, dataType, dialect="spark"))
-266
-267    def startswith(self, value: t.Union[str, Column]) -> Column:
-268        value = self._lit(value) if not isinstance(value, Column) else value
-269        return self.invoke_anonymous_function(self, "STARTSWITH", value)
-270
-271    def endswith(self, value: t.Union[str, Column]) -> Column:
-272        value = self._lit(value) if not isinstance(value, Column) else value
-273        return self.invoke_anonymous_function(self, "ENDSWITH", value)
-274
-275    def rlike(self, regexp: str) -> Column:
-276        return self.invoke_expression_over_column(
-277            column=self, callable_expression=exp.RegexpLike, expression=self._lit(regexp).expression
-278        )
+250        true_value = value if isinstance(value, Column) else lit(value)
+251        new_column = self.copy()
+252        new_column.expression.set("default", true_value.column_expression)
+253        return new_column
+254
+255    def isNull(self) -> Column:
+256        new_expression = exp.Is(this=self.column_expression, expression=exp.Null())
+257        return Column(new_expression)
+258
+259    def isNotNull(self) -> Column:
+260        new_expression = exp.Not(this=exp.Is(this=self.column_expression, expression=exp.Null()))
+261        return Column(new_expression)
+262
+263    def cast(self, dataType: t.Union[str, DataType]):
+264        """
+265        Functionality Difference: PySpark cast accepts a datatype instance of the datatype class
+266        Sqlglot doesn't currently replicate this class so it only accepts a string
+267        """
+268        if isinstance(dataType, DataType):
+269            dataType = dataType.simpleString()
+270        return Column(exp.cast(self.column_expression, dataType, dialect="spark"))
+271
+272    def startswith(self, value: t.Union[str, Column]) -> Column:
+273        value = self._lit(value) if not isinstance(value, Column) else value
+274        return self.invoke_anonymous_function(self, "STARTSWITH", value)
+275
+276    def endswith(self, value: t.Union[str, Column]) -> Column:
+277        value = self._lit(value) if not isinstance(value, Column) else value
+278        return self.invoke_anonymous_function(self, "ENDSWITH", value)
 279
-280    def like(self, other: str):
+280    def rlike(self, regexp: str) -> Column:
 281        return self.invoke_expression_over_column(
-282            self, exp.Like, expression=self._lit(other).expression
+282            column=self, callable_expression=exp.RegexpLike, expression=self._lit(regexp).expression
 283        )
 284
-285    def ilike(self, other: str):
+285    def like(self, other: str):
 286        return self.invoke_expression_over_column(
-287            self, exp.ILike, expression=self._lit(other).expression
+287            self, exp.Like, expression=self._lit(other).expression
 288        )
 289
-290    def substr(self, startPos: t.Union[int, Column], length: t.Union[int, Column]) -> Column:
-291        startPos = self._lit(startPos) if not isinstance(startPos, Column) else startPos
-292        length = self._lit(length) if not isinstance(length, Column) else length
-293        return Column.invoke_expression_over_column(
-294            self, exp.Substring, start=startPos.expression, length=length.expression
-295        )
-296
-297    def isin(self, *cols: t.Union[ColumnOrLiteral, t.Iterable[ColumnOrLiteral]]):
-298        columns = flatten(cols) if isinstance(cols[0], (list, set, tuple)) else cols  # type: ignore
-299        expressions = [self._lit(x).expression for x in columns]
-300        return Column.invoke_expression_over_column(self, exp.In, expressions=expressions)  # type: ignore
+290    def ilike(self, other: str):
+291        return self.invoke_expression_over_column(
+292            self, exp.ILike, expression=self._lit(other).expression
+293        )
+294
+295    def substr(self, startPos: t.Union[int, Column], length: t.Union[int, Column]) -> Column:
+296        startPos = self._lit(startPos) if not isinstance(startPos, Column) else startPos
+297        length = self._lit(length) if not isinstance(length, Column) else length
+298        return Column.invoke_expression_over_column(
+299            self, exp.Substring, start=startPos.expression, length=length.expression
+300        )
 301
-302    def between(
-303        self,
-304        lowerBound: t.Union[ColumnOrLiteral],
-305        upperBound: t.Union[ColumnOrLiteral],
-306    ) -> Column:
-307        lower_bound_exp = (
-308            self._lit(lowerBound) if not isinstance(lowerBound, Column) else lowerBound
-309        )
-310        upper_bound_exp = (
-311            self._lit(upperBound) if not isinstance(upperBound, Column) else upperBound
-312        )
-313        return Column(
-314            exp.Between(
-315                this=self.column_expression,
-316                low=lower_bound_exp.expression,
-317                high=upper_bound_exp.expression,
-318            )
-319        )
-320
-321    def over(self, window: WindowSpec) -> Column:
-322        window_expression = window.expression.copy()
-323        window_expression.set("this", self.column_expression)
-324        return Column(window_expression)
+302    def isin(self, *cols: t.Union[ColumnOrLiteral, t.Iterable[ColumnOrLiteral]]):
+303        columns = flatten(cols) if isinstance(cols[0], (list, set, tuple)) else cols  # type: ignore
+304        expressions = [self._lit(x).expression for x in columns]
+305        return Column.invoke_expression_over_column(self, exp.In, expressions=expressions)  # type: ignore
+306
+307    def between(
+308        self,
+309        lowerBound: t.Union[ColumnOrLiteral],
+310        upperBound: t.Union[ColumnOrLiteral],
+311    ) -> Column:
+312        lower_bound_exp = (
+313            self._lit(lowerBound) if not isinstance(lowerBound, Column) else lowerBound
+314        )
+315        upper_bound_exp = (
+316            self._lit(upperBound) if not isinstance(upperBound, Column) else upperBound
+317        )
+318        return Column(
+319            exp.Between(
+320                this=self.column_expression,
+321                low=lower_bound_exp.expression,
+322                high=upper_bound_exp.expression,
+323            )
+324        )
+325
+326    def over(self, window: WindowSpec) -> Column:
+327        window_expression = window.expression.copy()
+328        window_expression.set("this", self.column_expression)
+329        return Column(window_expression)
 
        
 
 
@@ -3222,22 +3228,26 @@ and check if it matches the type of the value provided. If not then make it null
                                         
 
        
             
-        Column(	expression: Union[<MagicMock id='140043312805776'>, sqlglot.expressions.Expression, NoneType])
+        Column(	expression: Union[<MagicMock id='140135092193312'>, sqlglot.expressions.Expression, NoneType])
 
                 
 
     
        
     
-            
        17    def __init__(self, expression: t.Optional[t.Union[ColumnOrLiteral, exp.Expression]]):
-18        if isinstance(expression, Column):
-19            expression = expression.expression  # type: ignore
-20        elif expression is None or not isinstance(expression, (str, exp.Expression)):
-21            expression = self._lit(expression).expression  # type: ignore
-22
-23        expression = sqlglot.maybe_parse(expression, dialect="spark")
-24        if expression is None:
-25            raise ValueError(f"Could not parse {expression}")
-26        self.expression: exp.Expression = expression
+            
        18    def __init__(self, expression: t.Optional[t.Union[ColumnOrLiteral, exp.Expression]]):
+19        if isinstance(expression, Column):
+20            expression = expression.expression  # type: ignore
+21        elif expression is None or not isinstance(expression, (str, exp.Expression)):
+22            expression = self._lit(expression).expression  # type: ignore
+23
+24        expression = sqlglot.maybe_parse(expression, dialect="spark")
+25        if expression is None:
+26            raise ValueError(f"Could not parse {expression}")
+27
+28        if isinstance(expression, exp.Column):
+29            expression.transform(Spark.normalize_identifier, copy=False)
+30
+31        self.expression: exp.Expression = expression
 
        
 
 
@@ -3250,15 +3260,15 @@ and check if it matches the type of the value provided. If not then make it null
                     
        @classmethod
        
 
         def
-        ensure_col(	cls,	value: Union[<MagicMock id='140043311007728'>, sqlglot.expressions.Expression, NoneType]):
+        ensure_col(	cls,	value: Union[<MagicMock id='140135090317456'>, sqlglot.expressions.Expression, NoneType]):
 
                 
 
     
        
     
-            
        112    @classmethod
-113    def ensure_col(cls, value: t.Optional[t.Union[ColumnOrLiteral, exp.Expression]]):
-114        return cls(value)
+            
        117    @classmethod
+118    def ensure_col(cls, value: t.Optional[t.Union[ColumnOrLiteral, exp.Expression]]):
+119        return cls(value)
 
        
 
 
@@ -3271,15 +3281,15 @@ and check if it matches the type of the value provided. If not then make it null
                     
        @classmethod
        
 
         def
-        ensure_cols(	cls,	args: List[Union[<MagicMock id='140043311137744'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.Column]:
+        ensure_cols(	cls,	args: List[Union[<MagicMock id='140135089983680'>, sqlglot.expressions.Expression]]) -> List[sqlglot.dataframe.sql.Column]:
 
                 
 
     
        
     
-            
        116    @classmethod
-117    def ensure_cols(cls, args: t.List[t.Union[ColumnOrLiteral, exp.Expression]]) -> t.List[Column]:
-118        return [cls.ensure_col(x) if not isinstance(x, Column) else x for x in args]
+            
        121    @classmethod
+122    def ensure_cols(cls, args: t.List[t.Union[ColumnOrLiteral, exp.Expression]]) -> t.List[Column]:
+123        return [cls.ensure_col(x) if not isinstance(x, Column) else x for x in args]
 
        
 
 
@@ -3292,21 +3302,21 @@ and check if it matches the type of the value provided. If not then make it null
                     
        @classmethod
        
 
         def
-        invoke_anonymous_function(	cls,	column: Optional[<MagicMock id='140043310280000'>],	func_name: str,	*args: Optional[<MagicMock id='140043311061728'>]) -> sqlglot.dataframe.sql.Column:
+        invoke_anonymous_function(	cls,	column: Optional[<MagicMock id='140135090558560'>],	func_name: str,	*args: Optional[<MagicMock id='140135090631344'>]) -> sqlglot.dataframe.sql.Column:
 
                 
 
     
        
     
-            
        127    @classmethod
-128    def invoke_anonymous_function(
-129        cls, column: t.Optional[ColumnOrLiteral], func_name: str, *args: t.Optional[ColumnOrLiteral]
-130    ) -> Column:
-131        columns = [] if column is None else [cls.ensure_col(column)]
-132        column_args = [cls.ensure_col(arg) for arg in args]
-133        expressions = [x.expression for x in columns + column_args]
-134        new_expression = exp.Anonymous(this=func_name.upper(), expressions=expressions)
-135        return Column(new_expression)
+            
        132    @classmethod
+133    def invoke_anonymous_function(
+134        cls, column: t.Optional[ColumnOrLiteral], func_name: str, *args: t.Optional[ColumnOrLiteral]
+135    ) -> Column:
+136        columns = [] if column is None else [cls.ensure_col(column)]
+137        column_args = [cls.ensure_col(arg) for arg in args]
+138        expressions = [x.expression for x in columns + column_args]
+139        new_expression = exp.Anonymous(this=func_name.upper(), expressions=expressions)
+140        return Column(new_expression)
 
        
 
 
@@ -3319,32 +3329,32 @@ and check if it matches the type of the value provided. If not then make it null
                     
        @classmethod
        
 
         def
-        invoke_expression_over_column(	cls,	column: Optional[<MagicMock id='140043309080992'>],	callable_expression: Callable,	**kwargs) -> sqlglot.dataframe.sql.Column:
+        invoke_expression_over_column(	cls,	column: Optional[<MagicMock id='140135090394432'>],	callable_expression: Callable,	**kwargs) -> sqlglot.dataframe.sql.Column:
 
                 
 
     
        
     
-            
        137    @classmethod
-138    def invoke_expression_over_column(
-139        cls, column: t.Optional[ColumnOrLiteral], callable_expression: t.Callable, **kwargs
-140    ) -> Column:
-141        ensured_column = None if column is None else cls.ensure_col(column)
-142        ensure_expression_values = {
-143            k: [Column.ensure_col(x).expression for x in v]
-144            if is_iterable(v)
-145            else Column.ensure_col(v).expression
-146            for k, v in kwargs.items()
-147            if v is not None
-148        }
-149        new_expression = (
-150            callable_expression(**ensure_expression_values)
-151            if ensured_column is None
-152            else callable_expression(
-153                this=ensured_column.column_expression, **ensure_expression_values
-154            )
-155        )
-156        return Column(new_expression)
+            
        142    @classmethod
+143    def invoke_expression_over_column(
+144        cls, column: t.Optional[ColumnOrLiteral], callable_expression: t.Callable, **kwargs
+145    ) -> Column:
+146        ensured_column = None if column is None else cls.ensure_col(column)
+147        ensure_expression_values = {
+148            k: [Column.ensure_col(x).expression for x in v]
+149            if is_iterable(v)
+150            else Column.ensure_col(v).expression
+151            for k, v in kwargs.items()
+152            if v is not None
+153        }
+154        new_expression = (
+155            callable_expression(**ensure_expression_values)
+156            if ensured_column is None
+157            else callable_expression(
+158                this=ensured_column.column_expression, **ensure_expression_values
+159            )
+160        )
+161        return Column(new_expression)
 
        
 
 
@@ -3356,16 +3366,16 @@ and check if it matches the type of the value provided. If not then make it null
 
        
             
         def
-        binary_op(	self,	klass: Callable,	other: <MagicMock id='140043309221248'>,	**kwargs) -> sqlglot.dataframe.sql.Column:
+        binary_op(	self,	klass: Callable,	other: <MagicMock id='140135088576720'>,	**kwargs) -> sqlglot.dataframe.sql.Column:
 
                 
 
     
        
     
-            
        158    def binary_op(self, klass: t.Callable, other: ColumnOrLiteral, **kwargs) -> Column:
-159        return Column(
-160            klass(this=self.column_expression, expression=Column(other).column_expression, **kwargs)
-161        )
+            
        163    def binary_op(self, klass: t.Callable, other: ColumnOrLiteral, **kwargs) -> Column:
+164        return Column(
+165            klass(this=self.column_expression, expression=Column(other).column_expression, **kwargs)
+166        )
 
        
 
 
@@ -3377,16 +3387,16 @@ and check if it matches the type of the value provided. If not then make it null
 
        
             
         def
-        inverse_binary_op(	self,	klass: Callable,	other: <MagicMock id='140043309230512'>,	**kwargs) -> sqlglot.dataframe.sql.Column:
+        inverse_binary_op(	self,	klass: Callable,	other: <MagicMock id='140135088584400'>,	**kwargs) -> sqlglot.dataframe.sql.Column:
 
                 
 
     
        
     
-            
        163    def inverse_binary_op(self, klass: t.Callable, other: ColumnOrLiteral, **kwargs) -> Column:
-164        return Column(
-165            klass(this=Column(other).column_expression, expression=self.column_expression, **kwargs)
-166        )
+            
        168    def inverse_binary_op(self, klass: t.Callable, other: ColumnOrLiteral, **kwargs) -> Column:
+169        return Column(
+170            klass(this=Column(other).column_expression, expression=self.column_expression, **kwargs)
+171        )
 
        
 
 
@@ -3404,8 +3414,8 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        168    def unary_op(self, klass: t.Callable, **kwargs) -> Column:
-169        return Column(klass(this=self.column_expression, **kwargs))
+            
        173    def unary_op(self, klass: t.Callable, **kwargs) -> Column:
+174        return Column(klass(this=self.column_expression, **kwargs))
 
        
 
 
@@ -3424,15 +3434,15 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        187    @classmethod
-188    def ensure_literal(cls, value) -> Column:
-189        from sqlglot.dataframe.sql.functions import lit
-190
-191        if isinstance(value, cls):
-192            value = value.expression
-193        if not isinstance(value, exp.Literal):
-194            return lit(value)
-195        return Column(value)
+            
        192    @classmethod
+193    def ensure_literal(cls, value) -> Column:
+194        from sqlglot.dataframe.sql.functions import lit
+195
+196        if isinstance(value, cls):
+197            value = value.expression
+198        if not isinstance(value, exp.Literal):
+199            return lit(value)
+200        return Column(value)
 
        
 
 
@@ -3450,8 +3460,8 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        197    def copy(self) -> Column:
-198        return Column(self.expression.copy())
+            
        202    def copy(self) -> Column:
+203        return Column(self.expression.copy())
 
        
 
 
@@ -3469,10 +3479,10 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        200    def set_table_name(self, table_name: str, copy=False) -> Column:
-201        expression = self.expression.copy() if copy else self.expression
-202        expression.set("table", exp.to_identifier(table_name))
-203        return Column(expression)
+            
        205    def set_table_name(self, table_name: str, copy=False) -> Column:
+206        expression = self.expression.copy() if copy else self.expression
+207        expression.set("table", exp.to_identifier(table_name))
+208        return Column(expression)
 
        
 
 
@@ -3490,8 +3500,8 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        205    def sql(self, **kwargs) -> str:
-206        return self.expression.sql(**{"dialect": "spark", **kwargs})
+            
        210    def sql(self, **kwargs) -> str:
+211        return self.expression.sql(**{"dialect": "spark", **kwargs})
 
        
 
 
@@ -3509,9 +3519,9 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        208    def alias(self, name: str) -> Column:
-209        new_expression = exp.alias_(self.column_expression, name)
-210        return Column(new_expression)
+            
        213    def alias(self, name: str) -> Column:
+214        new_expression = exp.alias_(self.column_expression, name)
+215        return Column(new_expression)
 
        
 
 
@@ -3529,9 +3539,9 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        212    def asc(self) -> Column:
-213        new_expression = exp.Ordered(this=self.column_expression, desc=False, nulls_first=True)
-214        return Column(new_expression)
+            
        217    def asc(self) -> Column:
+218        new_expression = exp.Ordered(this=self.column_expression, desc=False, nulls_first=True)
+219        return Column(new_expression)
 
        
 
 
@@ -3549,9 +3559,9 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        216    def desc(self) -> Column:
-217        new_expression = exp.Ordered(this=self.column_expression, desc=True, nulls_first=False)
-218        return Column(new_expression)
+            
        221    def desc(self) -> Column:
+222        new_expression = exp.Ordered(this=self.column_expression, desc=True, nulls_first=False)
+223        return Column(new_expression)
 
        
 
 
@@ -3569,9 +3579,9 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        212    def asc(self) -> Column:
-213        new_expression = exp.Ordered(this=self.column_expression, desc=False, nulls_first=True)
-214        return Column(new_expression)
+            
        217    def asc(self) -> Column:
+218        new_expression = exp.Ordered(this=self.column_expression, desc=False, nulls_first=True)
+219        return Column(new_expression)
 
        
 
 
@@ -3589,9 +3599,9 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        222    def asc_nulls_last(self) -> Column:
-223        new_expression = exp.Ordered(this=self.column_expression, desc=False, nulls_first=False)
-224        return Column(new_expression)
+            
        227    def asc_nulls_last(self) -> Column:
+228        new_expression = exp.Ordered(this=self.column_expression, desc=False, nulls_first=False)
+229        return Column(new_expression)
 
        
 
 
@@ -3609,9 +3619,9 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        226    def desc_nulls_first(self) -> Column:
-227        new_expression = exp.Ordered(this=self.column_expression, desc=True, nulls_first=True)
-228        return Column(new_expression)
+            
        231    def desc_nulls_first(self) -> Column:
+232        new_expression = exp.Ordered(this=self.column_expression, desc=True, nulls_first=True)
+233        return Column(new_expression)
 
        
 
 
@@ -3629,9 +3639,9 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        216    def desc(self) -> Column:
-217        new_expression = exp.Ordered(this=self.column_expression, desc=True, nulls_first=False)
-218        return Column(new_expression)
+            
        221    def desc(self) -> Column:
+222        new_expression = exp.Ordered(this=self.column_expression, desc=True, nulls_first=False)
+223        return Column(new_expression)
 
        
 
 
@@ -3649,15 +3659,15 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        232    def when(self, condition: Column, value: t.Any) -> Column:
-233        from sqlglot.dataframe.sql.functions import when
-234
-235        column_with_if = when(condition, value)
-236        if not isinstance(self.expression, exp.Case):
-237            return column_with_if
-238        new_column = self.copy()
-239        new_column.expression.args["ifs"].extend(column_with_if.expression.args["ifs"])
-240        return new_column
+            
        237    def when(self, condition: Column, value: t.Any) -> Column:
+238        from sqlglot.dataframe.sql.functions import when
+239
+240        column_with_if = when(condition, value)
+241        if not isinstance(self.expression, exp.Case):
+242            return column_with_if
+243        new_column = self.copy()
+244        new_column.expression.args["ifs"].extend(column_with_if.expression.args["ifs"])
+245        return new_column
 
        
 
 
@@ -3675,13 +3685,13 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        242    def otherwise(self, value: t.Any) -> Column:
-243        from sqlglot.dataframe.sql.functions import lit
-244
-245        true_value = value if isinstance(value, Column) else lit(value)
-246        new_column = self.copy()
-247        new_column.expression.set("default", true_value.column_expression)
-248        return new_column
+            
        247    def otherwise(self, value: t.Any) -> Column:
+248        from sqlglot.dataframe.sql.functions import lit
+249
+250        true_value = value if isinstance(value, Column) else lit(value)
+251        new_column = self.copy()
+252        new_column.expression.set("default", true_value.column_expression)
+253        return new_column
 
        
 
 
@@ -3699,9 +3709,9 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        250    def isNull(self) -> Column:
-251        new_expression = exp.Is(this=self.column_expression, expression=exp.Null())
-252        return Column(new_expression)
+            
        255    def isNull(self) -> Column:
+256        new_expression = exp.Is(this=self.column_expression, expression=exp.Null())
+257        return Column(new_expression)
 
        
 
 
@@ -3719,9 +3729,9 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        254    def isNotNull(self) -> Column:
-255        new_expression = exp.Not(this=exp.Is(this=self.column_expression, expression=exp.Null()))
-256        return Column(new_expression)
+            
        259    def isNotNull(self) -> Column:
+260        new_expression = exp.Not(this=exp.Is(this=self.column_expression, expression=exp.Null()))
+261        return Column(new_expression)
 
        
 
 
@@ -3739,14 +3749,14 @@ and check if it matches the type of the value provided. If not then make it null
 
     
        
     
-            
        258    def cast(self, dataType: t.Union[str, DataType]):
-259        """
-260        Functionality Difference: PySpark cast accepts a datatype instance of the datatype class
-261        Sqlglot doesn't currently replicate this class so it only accepts a string
-262        """
-263        if isinstance(dataType, DataType):
-264            dataType = dataType.simpleString()
-265        return Column(exp.cast(self.column_expression, dataType, dialect="spark"))
+            
        263    def cast(self, dataType: t.Union[str, DataType]):
+264        """
+265        Functionality Difference: PySpark cast accepts a datatype instance of the datatype class
+266        Sqlglot doesn't currently replicate this class so it only accepts a string
+267        """
+268        if isinstance(dataType, DataType):
+269            dataType = dataType.simpleString()
+270        return Column(exp.cast(self.column_expression, dataType, dialect="spark"))
 
        
 
 
@@ -3767,9 +3777,9 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        267    def startswith(self, value: t.Union[str, Column]) -> Column:
-268        value = self._lit(value) if not isinstance(value, Column) else value
-269        return self.invoke_anonymous_function(self, "STARTSWITH", value)
+            
        272    def startswith(self, value: t.Union[str, Column]) -> Column:
+273        value = self._lit(value) if not isinstance(value, Column) else value
+274        return self.invoke_anonymous_function(self, "STARTSWITH", value)
 
        
 
 
@@ -3787,9 +3797,9 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        271    def endswith(self, value: t.Union[str, Column]) -> Column:
-272        value = self._lit(value) if not isinstance(value, Column) else value
-273        return self.invoke_anonymous_function(self, "ENDSWITH", value)
+            
        276    def endswith(self, value: t.Union[str, Column]) -> Column:
+277        value = self._lit(value) if not isinstance(value, Column) else value
+278        return self.invoke_anonymous_function(self, "ENDSWITH", value)
 
        
 
 
@@ -3807,10 +3817,10 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        275    def rlike(self, regexp: str) -> Column:
-276        return self.invoke_expression_over_column(
-277            column=self, callable_expression=exp.RegexpLike, expression=self._lit(regexp).expression
-278        )
+            
        280    def rlike(self, regexp: str) -> Column:
+281        return self.invoke_expression_over_column(
+282            column=self, callable_expression=exp.RegexpLike, expression=self._lit(regexp).expression
+283        )
 
        
 
 
@@ -3828,10 +3838,10 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        280    def like(self, other: str):
-281        return self.invoke_expression_over_column(
-282            self, exp.Like, expression=self._lit(other).expression
-283        )
+            
        285    def like(self, other: str):
+286        return self.invoke_expression_over_column(
+287            self, exp.Like, expression=self._lit(other).expression
+288        )
 
        
 
 
@@ -3849,10 +3859,10 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        285    def ilike(self, other: str):
-286        return self.invoke_expression_over_column(
-287            self, exp.ILike, expression=self._lit(other).expression
-288        )
+            
        290    def ilike(self, other: str):
+291        return self.invoke_expression_over_column(
+292            self, exp.ILike, expression=self._lit(other).expression
+293        )
 
        
 
 
@@ -3870,12 +3880,12 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        290    def substr(self, startPos: t.Union[int, Column], length: t.Union[int, Column]) -> Column:
-291        startPos = self._lit(startPos) if not isinstance(startPos, Column) else startPos
-292        length = self._lit(length) if not isinstance(length, Column) else length
-293        return Column.invoke_expression_over_column(
-294            self, exp.Substring, start=startPos.expression, length=length.expression
-295        )
+            
        295    def substr(self, startPos: t.Union[int, Column], length: t.Union[int, Column]) -> Column:
+296        startPos = self._lit(startPos) if not isinstance(startPos, Column) else startPos
+297        length = self._lit(length) if not isinstance(length, Column) else length
+298        return Column.invoke_expression_over_column(
+299            self, exp.Substring, start=startPos.expression, length=length.expression
+300        )
 
        
 
 
@@ -3887,16 +3897,16 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
        
             
         def
-        isin(	self,	*cols: Union[<MagicMock id='140043309453744'>, Iterable[<MagicMock id='140043309453744'>]]):
+        isin(	self,	*cols: Union[<MagicMock id='140135088834880'>, Iterable[<MagicMock id='140135088834880'>]]):
 
                 
 
     
        
     
-            
        297    def isin(self, *cols: t.Union[ColumnOrLiteral, t.Iterable[ColumnOrLiteral]]):
-298        columns = flatten(cols) if isinstance(cols[0], (list, set, tuple)) else cols  # type: ignore
-299        expressions = [self._lit(x).expression for x in columns]
-300        return Column.invoke_expression_over_column(self, exp.In, expressions=expressions)  # type: ignore
+            
        302    def isin(self, *cols: t.Union[ColumnOrLiteral, t.Iterable[ColumnOrLiteral]]):
+303        columns = flatten(cols) if isinstance(cols[0], (list, set, tuple)) else cols  # type: ignore
+304        expressions = [self._lit(x).expression for x in columns]
+305        return Column.invoke_expression_over_column(self, exp.In, expressions=expressions)  # type: ignore
 
        
 
 
@@ -3908,30 +3918,30 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
        
             
         def
-        between(	self,	lowerBound: <MagicMock id='140043309563968'>,	upperBound: <MagicMock id='140043309589040'>) -> sqlglot.dataframe.sql.Column:
+        between(	self,	lowerBound: <MagicMock id='140135088905840'>,	upperBound: <MagicMock id='140135088943936'>) -> sqlglot.dataframe.sql.Column:
 
                 
 
     
        
     
-            
        302    def between(
-303        self,
-304        lowerBound: t.Union[ColumnOrLiteral],
-305        upperBound: t.Union[ColumnOrLiteral],
-306    ) -> Column:
-307        lower_bound_exp = (
-308            self._lit(lowerBound) if not isinstance(lowerBound, Column) else lowerBound
-309        )
-310        upper_bound_exp = (
-311            self._lit(upperBound) if not isinstance(upperBound, Column) else upperBound
-312        )
-313        return Column(
-314            exp.Between(
-315                this=self.column_expression,
-316                low=lower_bound_exp.expression,
-317                high=upper_bound_exp.expression,
-318            )
-319        )
+            
        307    def between(
+308        self,
+309        lowerBound: t.Union[ColumnOrLiteral],
+310        upperBound: t.Union[ColumnOrLiteral],
+311    ) -> Column:
+312        lower_bound_exp = (
+313            self._lit(lowerBound) if not isinstance(lowerBound, Column) else lowerBound
+314        )
+315        upper_bound_exp = (
+316            self._lit(upperBound) if not isinstance(upperBound, Column) else upperBound
+317        )
+318        return Column(
+319            exp.Between(
+320                this=self.column_expression,
+321                low=lower_bound_exp.expression,
+322                high=upper_bound_exp.expression,
+323            )
+324        )
 
        
 
 
@@ -3943,16 +3953,16 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
        
             
         def
-        over(	self,	window: <MagicMock id='140043309646896'>) -> sqlglot.dataframe.sql.Column:
+        over(	self,	window: <MagicMock id='140135089001648'>) -> sqlglot.dataframe.sql.Column:
 
                 
 
     
        
     
-            
        321    def over(self, window: WindowSpec) -> Column:
-322        window_expression = window.expression.copy()
-323        window_expression.set("this", self.column_expression)
-324        return Column(window_expression)
+            
        326    def over(self, window: WindowSpec) -> Column:
+327        window_expression = window.expression.copy()
+328        window_expression.set("this", self.column_expression)
+329        return Column(window_expression)
 
        
 
 
@@ -3971,32 +3981,32 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        821class DataFrameNaFunctions:
-822    def __init__(self, df: DataFrame):
-823        self.df = df
-824
-825    def drop(
-826        self,
-827        how: str = "any",
-828        thresh: t.Optional[int] = None,
-829        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
-830    ) -> DataFrame:
-831        return self.df.dropna(how=how, thresh=thresh, subset=subset)
-832
-833    def fill(
-834        self,
-835        value: t.Union[int, bool, float, str, t.Dict[str, t.Any]],
-836        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
-837    ) -> DataFrame:
-838        return self.df.fillna(value=value, subset=subset)
-839
-840    def replace(
-841        self,
-842        to_replace: t.Union[bool, int, float, str, t.List, t.Dict],
-843        value: t.Optional[t.Union[bool, int, float, str, t.List]] = None,
-844        subset: t.Optional[t.Union[str, t.List[str]]] = None,
-845    ) -> DataFrame:
-846        return self.df.replace(to_replace=to_replace, value=value, subset=subset)
+            
        822class DataFrameNaFunctions:
+823    def __init__(self, df: DataFrame):
+824        self.df = df
+825
+826    def drop(
+827        self,
+828        how: str = "any",
+829        thresh: t.Optional[int] = None,
+830        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
+831    ) -> DataFrame:
+832        return self.df.dropna(how=how, thresh=thresh, subset=subset)
+833
+834    def fill(
+835        self,
+836        value: t.Union[int, bool, float, str, t.Dict[str, t.Any]],
+837        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
+838    ) -> DataFrame:
+839        return self.df.fillna(value=value, subset=subset)
+840
+841    def replace(
+842        self,
+843        to_replace: t.Union[bool, int, float, str, t.List, t.Dict],
+844        value: t.Optional[t.Union[bool, int, float, str, t.List]] = None,
+845        subset: t.Optional[t.Union[str, t.List[str]]] = None,
+846    ) -> DataFrame:
+847        return self.df.replace(to_replace=to_replace, value=value, subset=subset)
 
        
 
 
@@ -4012,8 +4022,8 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        822    def __init__(self, df: DataFrame):
-823        self.df = df
+            
        823    def __init__(self, df: DataFrame):
+824        self.df = df
 
        
 
 
@@ -4031,13 +4041,13 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        825    def drop(
-826        self,
-827        how: str = "any",
-828        thresh: t.Optional[int] = None,
-829        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
-830    ) -> DataFrame:
-831        return self.df.dropna(how=how, thresh=thresh, subset=subset)
+            
        826    def drop(
+827        self,
+828        how: str = "any",
+829        thresh: t.Optional[int] = None,
+830        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
+831    ) -> DataFrame:
+832        return self.df.dropna(how=how, thresh=thresh, subset=subset)
 
        
 
 
@@ -4055,12 +4065,12 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        833    def fill(
-834        self,
-835        value: t.Union[int, bool, float, str, t.Dict[str, t.Any]],
-836        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
-837    ) -> DataFrame:
-838        return self.df.fillna(value=value, subset=subset)
+            
        834    def fill(
+835        self,
+836        value: t.Union[int, bool, float, str, t.Dict[str, t.Any]],
+837        subset: t.Optional[t.Union[str, t.Tuple[str, ...], t.List[str]]] = None,
+838    ) -> DataFrame:
+839        return self.df.fillna(value=value, subset=subset)
 
        
 
 
@@ -4078,13 +4088,13 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        840    def replace(
-841        self,
-842        to_replace: t.Union[bool, int, float, str, t.List, t.Dict],
-843        value: t.Optional[t.Union[bool, int, float, str, t.List]] = None,
-844        subset: t.Optional[t.Union[str, t.List[str]]] = None,
-845    ) -> DataFrame:
-846        return self.df.replace(to_replace=to_replace, value=value, subset=subset)
+            
        841    def replace(
+842        self,
+843        to_replace: t.Union[bool, int, float, str, t.List, t.Dict],
+844        value: t.Optional[t.Union[bool, int, float, str, t.List]] = None,
+845        subset: t.Optional[t.Union[str, t.List[str]]] = None,
+846    ) -> DataFrame:
+847        return self.df.replace(to_replace=to_replace, value=value, subset=subset)
 
        
 
 
@@ -4141,7 +4151,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
                     
        @classmethod
        
 
         def
-        partitionBy(	cls,	*cols: Union[<MagicMock id='140043310053360'>, List[<MagicMock id='140043310053360'>]]) -> sqlglot.dataframe.sql.WindowSpec:
+        partitionBy(	cls,	*cols: Union[<MagicMock id='140135089315008'>, List[<MagicMock id='140135089315008'>]]) -> sqlglot.dataframe.sql.WindowSpec:
 
                 
 
@@ -4162,7 +4172,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
                     
        @classmethod
        
 
         def
-        orderBy(	cls,	*cols: Union[<MagicMock id='140043309956208'>, List[<MagicMock id='140043309956208'>]]) -> sqlglot.dataframe.sql.WindowSpec:
+        orderBy(	cls,	*cols: Union[<MagicMock id='140135089098032'>, List[<MagicMock id='140135089098032'>]]) -> sqlglot.dataframe.sql.WindowSpec:
 
                 
 
@@ -4387,7 +4397,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
        
             
         def
-        partitionBy(	self,	*cols: Union[<MagicMock id='140043309879920'>, List[<MagicMock id='140043309879920'>]]) -> sqlglot.dataframe.sql.WindowSpec:
+        partitionBy(	self,	*cols: Union[<MagicMock id='140135089209696'>, List[<MagicMock id='140135089209696'>]]) -> sqlglot.dataframe.sql.WindowSpec:
 
                 
 
@@ -4414,7 +4424,7 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
        
             
         def
-        orderBy(	self,	*cols: Union[<MagicMock id='140043309740432'>, List[<MagicMock id='140043309740432'>]]) -> sqlglot.dataframe.sql.WindowSpec:
+        orderBy(	self,	*cols: Union[<MagicMock id='140135089202912'>, List[<MagicMock id='140135089202912'>]]) -> sqlglot.dataframe.sql.WindowSpec:
 
                 
 
@@ -4506,26 +4516,23 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        15class DataFrameReader:
-16    def __init__(self, spark: SparkSession):
-17        self.spark = spark
-18
-19    def table(self, tableName: str) -> DataFrame:
-20        from sqlglot.dataframe.sql.dataframe import DataFrame
-21
-22        sqlglot.schema.add_table(tableName)
-23
-24        return DataFrame(
-25            self.spark,
-26            exp.Select()
-27            .from_(tableName)
-28            .select(
-29                *(
-30                    column if should_identify(column, "safe") else f'"{column}"'
-31                    for column in sqlglot.schema.column_names(tableName)
-32                )
-33            ),
-34        )
+            
        16class DataFrameReader:
+17    def __init__(self, spark: SparkSession):
+18        self.spark = spark
+19
+20    def table(self, tableName: str) -> DataFrame:
+21        from sqlglot.dataframe.sql.dataframe import DataFrame
+22
+23        sqlglot.schema.add_table(tableName, dialect="spark")
+24
+25        return DataFrame(
+26            self.spark,
+27            exp.Select()
+28            .from_(exp.to_table(tableName, dialect="spark").transform(Spark.normalize_identifier))
+29            .select(
+30                *(column for column in sqlglot.schema.column_names(tableName, dialect="spark"))
+31            ),
+32        )
 
        
 
 
@@ -4541,8 +4548,8 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        16    def __init__(self, spark: SparkSession):
-17        self.spark = spark
+            
        17    def __init__(self, spark: SparkSession):
+18        self.spark = spark
 
        
 
 
@@ -4560,22 +4567,19 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        19    def table(self, tableName: str) -> DataFrame:
-20        from sqlglot.dataframe.sql.dataframe import DataFrame
-21
-22        sqlglot.schema.add_table(tableName)
-23
-24        return DataFrame(
-25            self.spark,
-26            exp.Select()
-27            .from_(tableName)
-28            .select(
-29                *(
-30                    column if should_identify(column, "safe") else f'"{column}"'
-31                    for column in sqlglot.schema.column_names(tableName)
-32                )
-33            ),
-34        )
+            
        20    def table(self, tableName: str) -> DataFrame:
+21        from sqlglot.dataframe.sql.dataframe import DataFrame
+22
+23        sqlglot.schema.add_table(tableName, dialect="spark")
+24
+25        return DataFrame(
+26            self.spark,
+27            exp.Select()
+28            .from_(exp.to_table(tableName, dialect="spark").transform(Spark.normalize_identifier))
+29            .select(
+30                *(column for column in sqlglot.schema.column_names(tableName, dialect="spark"))
+31            ),
+32        )
 
        
 
 
@@ -4594,68 +4598,68 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        37class DataFrameWriter:
-38    def __init__(
-39        self,
-40        df: DataFrame,
-41        spark: t.Optional[SparkSession] = None,
-42        mode: t.Optional[str] = None,
-43        by_name: bool = False,
-44    ):
-45        self._df = df
-46        self._spark = spark or df.spark
-47        self._mode = mode
-48        self._by_name = by_name
-49
-50    def copy(self, **kwargs) -> DataFrameWriter:
-51        return DataFrameWriter(
-52            **{
-53                k[1:] if k.startswith("_") else k: v
-54                for k, v in object_to_dict(self, **kwargs).items()
-55            }
-56        )
-57
-58    def sql(self, **kwargs) -> t.List[str]:
-59        return self._df.sql(**kwargs)
-60
-61    def mode(self, saveMode: t.Optional[str]) -> DataFrameWriter:
-62        return self.copy(_mode=saveMode)
-63
-64    @property
-65    def byName(self):
-66        return self.copy(by_name=True)
-67
-68    def insertInto(self, tableName: str, overwrite: t.Optional[bool] = None) -> DataFrameWriter:
-69        output_expression_container = exp.Insert(
-70            **{
-71                "this": exp.to_table(tableName),
-72                "overwrite": overwrite,
-73            }
-74        )
-75        df = self._df.copy(output_expression_container=output_expression_container)
-76        if self._by_name:
-77            columns = sqlglot.schema.column_names(tableName, only_visible=True)
-78            df = df._convert_leaf_to_cte().select(*columns)
+            
        35class DataFrameWriter:
+36    def __init__(
+37        self,
+38        df: DataFrame,
+39        spark: t.Optional[SparkSession] = None,
+40        mode: t.Optional[str] = None,
+41        by_name: bool = False,
+42    ):
+43        self._df = df
+44        self._spark = spark or df.spark
+45        self._mode = mode
+46        self._by_name = by_name
+47
+48    def copy(self, **kwargs) -> DataFrameWriter:
+49        return DataFrameWriter(
+50            **{
+51                k[1:] if k.startswith("_") else k: v
+52                for k, v in object_to_dict(self, **kwargs).items()
+53            }
+54        )
+55
+56    def sql(self, **kwargs) -> t.List[str]:
+57        return self._df.sql(**kwargs)
+58
+59    def mode(self, saveMode: t.Optional[str]) -> DataFrameWriter:
+60        return self.copy(_mode=saveMode)
+61
+62    @property
+63    def byName(self):
+64        return self.copy(by_name=True)
+65
+66    def insertInto(self, tableName: str, overwrite: t.Optional[bool] = None) -> DataFrameWriter:
+67        output_expression_container = exp.Insert(
+68            **{
+69                "this": exp.to_table(tableName),
+70                "overwrite": overwrite,
+71            }
+72        )
+73        df = self._df.copy(output_expression_container=output_expression_container)
+74        if self._by_name:
+75            columns = sqlglot.schema.column_names(tableName, only_visible=True, dialect="spark")
+76            df = df._convert_leaf_to_cte().select(*columns)
+77
+78        return self.copy(_df=df)
 79
-80        return self.copy(_df=df)
-81
-82    def saveAsTable(self, name: str, format: t.Optional[str] = None, mode: t.Optional[str] = None):
-83        if format is not None:
-84            raise NotImplementedError("Providing Format in the save as table is not supported")
-85        exists, replace, mode = None, None, mode or str(self._mode)
-86        if mode == "append":
-87            return self.insertInto(name)
-88        if mode == "ignore":
-89            exists = True
-90        if mode == "overwrite":
-91            replace = True
-92        output_expression_container = exp.Create(
-93            this=exp.to_table(name),
-94            kind="TABLE",
-95            exists=exists,
-96            replace=replace,
-97        )
-98        return self.copy(_df=self._df.copy(output_expression_container=output_expression_container))
+80    def saveAsTable(self, name: str, format: t.Optional[str] = None, mode: t.Optional[str] = None):
+81        if format is not None:
+82            raise NotImplementedError("Providing Format in the save as table is not supported")
+83        exists, replace, mode = None, None, mode or str(self._mode)
+84        if mode == "append":
+85            return self.insertInto(name)
+86        if mode == "ignore":
+87            exists = True
+88        if mode == "overwrite":
+89            replace = True
+90        output_expression_container = exp.Create(
+91            this=exp.to_table(name),
+92            kind="TABLE",
+93            exists=exists,
+94            replace=replace,
+95        )
+96        return self.copy(_df=self._df.copy(output_expression_container=output_expression_container))
 
        
 
 
@@ -4671,17 +4675,17 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        38    def __init__(
-39        self,
-40        df: DataFrame,
-41        spark: t.Optional[SparkSession] = None,
-42        mode: t.Optional[str] = None,
-43        by_name: bool = False,
-44    ):
-45        self._df = df
-46        self._spark = spark or df.spark
-47        self._mode = mode
-48        self._by_name = by_name
+            
        36    def __init__(
+37        self,
+38        df: DataFrame,
+39        spark: t.Optional[SparkSession] = None,
+40        mode: t.Optional[str] = None,
+41        by_name: bool = False,
+42    ):
+43        self._df = df
+44        self._spark = spark or df.spark
+45        self._mode = mode
+46        self._by_name = by_name
 
        
 
 
@@ -4699,13 +4703,13 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        50    def copy(self, **kwargs) -> DataFrameWriter:
-51        return DataFrameWriter(
-52            **{
-53                k[1:] if k.startswith("_") else k: v
-54                for k, v in object_to_dict(self, **kwargs).items()
-55            }
-56        )
+            
        48    def copy(self, **kwargs) -> DataFrameWriter:
+49        return DataFrameWriter(
+50            **{
+51                k[1:] if k.startswith("_") else k: v
+52                for k, v in object_to_dict(self, **kwargs).items()
+53            }
+54        )
 
        
 
 
@@ -4723,8 +4727,8 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        58    def sql(self, **kwargs) -> t.List[str]:
-59        return self._df.sql(**kwargs)
+            
        56    def sql(self, **kwargs) -> t.List[str]:
+57        return self._df.sql(**kwargs)
 
        
 
 
@@ -4742,8 +4746,8 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        61    def mode(self, saveMode: t.Optional[str]) -> DataFrameWriter:
-62        return self.copy(_mode=saveMode)
+            
        59    def mode(self, saveMode: t.Optional[str]) -> DataFrameWriter:
+60        return self.copy(_mode=saveMode)
 
        
 
 
@@ -4761,19 +4765,19 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        68    def insertInto(self, tableName: str, overwrite: t.Optional[bool] = None) -> DataFrameWriter:
-69        output_expression_container = exp.Insert(
-70            **{
-71                "this": exp.to_table(tableName),
-72                "overwrite": overwrite,
-73            }
-74        )
-75        df = self._df.copy(output_expression_container=output_expression_container)
-76        if self._by_name:
-77            columns = sqlglot.schema.column_names(tableName, only_visible=True)
-78            df = df._convert_leaf_to_cte().select(*columns)
-79
-80        return self.copy(_df=df)
+            
        66    def insertInto(self, tableName: str, overwrite: t.Optional[bool] = None) -> DataFrameWriter:
+67        output_expression_container = exp.Insert(
+68            **{
+69                "this": exp.to_table(tableName),
+70                "overwrite": overwrite,
+71            }
+72        )
+73        df = self._df.copy(output_expression_container=output_expression_container)
+74        if self._by_name:
+75            columns = sqlglot.schema.column_names(tableName, only_visible=True, dialect="spark")
+76            df = df._convert_leaf_to_cte().select(*columns)
+77
+78        return self.copy(_df=df)
 
        
 
 
@@ -4791,23 +4795,23 @@ Sqlglot doesn't currently replicate this class so it only accepts a string
        
 
     
        
     
-            
        82    def saveAsTable(self, name: str, format: t.Optional[str] = None, mode: t.Optional[str] = None):
-83        if format is not None:
-84            raise NotImplementedError("Providing Format in the save as table is not supported")
-85        exists, replace, mode = None, None, mode or str(self._mode)
-86        if mode == "append":
-87            return self.insertInto(name)
-88        if mode == "ignore":
-89            exists = True
-90        if mode == "overwrite":
-91            replace = True
-92        output_expression_container = exp.Create(
-93            this=exp.to_table(name),
-94            kind="TABLE",
-95            exists=exists,
-96            replace=replace,
-97        )
-98        return self.copy(_df=self._df.copy(output_expression_container=output_expression_container))
+            
        80    def saveAsTable(self, name: str, format: t.Optional[str] = None, mode: t.Optional[str] = None):
+81        if format is not None:
+82            raise NotImplementedError("Providing Format in the save as table is not supported")
+83        exists, replace, mode = None, None, mode or str(self._mode)
+84        if mode == "append":
+85            return self.insertInto(name)
+86        if mode == "ignore":
+87            exists = True
+88        if mode == "overwrite":
+89            replace = True
+90        output_expression_container = exp.Create(
+91            this=exp.to_table(name),
+92            kind="TABLE",
+93            exists=exists,
+94            replace=replace,
+95        )
+96        return self.copy(_df=self._df.copy(output_expression_container=output_expression_container))
 
        
 
 
diff --git a/docs/sqlglot/dialects/bigquery.html b/docs/sqlglot/dialects/bigquery.html
index 7edabe1..c4957b8 100644
--- a/docs/sqlglot/dialects/bigquery.html
+++ b/docs/sqlglot/dialects/bigquery.html
@@ -33,6 +33,9 @@
             
      • 
                     BigQuery
                             
          
+                        
        • 
+                                normalize_identifier
+                        
          • 
                         
        • 
                                 BigQuery.Tokenizer
                                         
 
                         
          • 
@@ -107,391 +113,409 @@
   4import typing as t
   5
   6from sqlglot import exp, generator, parser, tokens, transforms
-  7from sqlglot.dialects.dialect import (
-  8    Dialect,
-  9    datestrtodate_sql,
- 10    format_time_lambda,
- 11    inline_array_sql,
- 12    max_or_greatest,
- 13    min_or_least,
- 14    no_ilike_sql,
- 15    parse_date_delta_with_interval,
- 16    rename_func,
- 17    timestrtotime_sql,
- 18    ts_or_ds_to_date_sql,
- 19)
- 20from sqlglot.helper import seq_get, split_num_words
- 21from sqlglot.tokens import TokenType
- 22
+  7from sqlglot._typing import E
+  8from sqlglot.dialects.dialect import (
+  9    Dialect,
+ 10    datestrtodate_sql,
+ 11    format_time_lambda,
+ 12    inline_array_sql,
+ 13    max_or_greatest,
+ 14    min_or_least,
+ 15    no_ilike_sql,
+ 16    parse_date_delta_with_interval,
+ 17    rename_func,
+ 18    timestrtotime_sql,
+ 19    ts_or_ds_to_date_sql,
+ 20)
+ 21from sqlglot.helper import seq_get, split_num_words
+ 22from sqlglot.tokens import TokenType
  23
- 24def _date_add_sql(
- 25    data_type: str, kind: str
- 26) -> t.Callable[[generator.Generator, exp.Expression], str]:
- 27    def func(self, expression):
- 28        this = self.sql(expression, "this")
- 29        unit = expression.args.get("unit")
- 30        unit = exp.var(unit.name.upper() if unit else "DAY")
- 31        interval = exp.Interval(this=expression.expression, unit=unit)
- 32        return f"{data_type}_{kind}({this}, {self.sql(interval)})"
- 33
- 34    return func
- 35
+ 24
+ 25def _date_add_sql(
+ 26    data_type: str, kind: str
+ 27) -> t.Callable[[generator.Generator, exp.Expression], str]:
+ 28    def func(self, expression):
+ 29        this = self.sql(expression, "this")
+ 30        unit = expression.args.get("unit")
+ 31        unit = exp.var(unit.name.upper() if unit else "DAY")
+ 32        interval = exp.Interval(this=expression.expression, unit=unit)
+ 33        return f"{data_type}_{kind}({this}, {self.sql(interval)})"
+ 34
+ 35    return func
  36
- 37def _derived_table_values_to_unnest(self: generator.Generator, expression: exp.Values) -> str:
- 38    if not isinstance(expression.unnest().parent, exp.From):
- 39        return self.values_sql(expression)
- 40
- 41    alias = expression.args.get("alias")
- 42
- 43    structs = [
- 44        exp.Struct(
- 45            expressions=[
- 46                exp.alias_(value, column_name)
- 47                for value, column_name in zip(
- 48                    t.expressions,
- 49                    alias.columns
- 50                    if alias and alias.columns
- 51                    else (f"_c{i}" for i in range(len(t.expressions))),
- 52                )
- 53            ]
- 54        )
- 55        for t in expression.find_all(exp.Tuple)
- 56    ]
- 57
- 58    return self.unnest_sql(exp.Unnest(expressions=[exp.Array(expressions=structs)]))
- 59
+ 37
+ 38def _derived_table_values_to_unnest(self: generator.Generator, expression: exp.Values) -> str:
+ 39    if not isinstance(expression.unnest().parent, exp.From):
+ 40        return self.values_sql(expression)
+ 41
+ 42    alias = expression.args.get("alias")
+ 43
+ 44    structs = [
+ 45        exp.Struct(
+ 46            expressions=[
+ 47                exp.alias_(value, column_name)
+ 48                for value, column_name in zip(
+ 49                    t.expressions,
+ 50                    alias.columns
+ 51                    if alias and alias.columns
+ 52                    else (f"_c{i}" for i in range(len(t.expressions))),
+ 53                )
+ 54            ]
+ 55        )
+ 56        for t in expression.find_all(exp.Tuple)
+ 57    ]
+ 58
+ 59    return self.unnest_sql(exp.Unnest(expressions=[exp.Array(expressions=structs)]))
  60
- 61def _returnsproperty_sql(self: generator.Generator, expression: exp.ReturnsProperty) -> str:
- 62    this = expression.this
- 63    if isinstance(this, exp.Schema):
- 64        this = f"{this.this} <{self.expressions(this)}>"
- 65    else:
- 66        this = self.sql(this)
- 67    return f"RETURNS {this}"
- 68
+ 61
+ 62def _returnsproperty_sql(self: generator.Generator, expression: exp.ReturnsProperty) -> str:
+ 63    this = expression.this
+ 64    if isinstance(this, exp.Schema):
+ 65        this = f"{this.this} <{self.expressions(this)}>"
+ 66    else:
+ 67        this = self.sql(this)
+ 68    return f"RETURNS {this}"
  69
- 70def _create_sql(self: generator.Generator, expression: exp.Create) -> str:
- 71    kind = expression.args["kind"]
- 72    returns = expression.find(exp.ReturnsProperty)
- 73    if kind.upper() == "FUNCTION" and returns and returns.args.get("is_table"):
- 74        expression = expression.copy()
- 75        expression.set("kind", "TABLE FUNCTION")
- 76        if isinstance(
- 77            expression.expression,
- 78            (
- 79                exp.Subquery,
- 80                exp.Literal,
- 81            ),
- 82        ):
- 83            expression.set("expression", expression.expression.this)
- 84
- 85        return self.create_sql(expression)
- 86
- 87    return self.create_sql(expression)
- 88
+ 70
+ 71def _create_sql(self: generator.Generator, expression: exp.Create) -> str:
+ 72    kind = expression.args["kind"]
+ 73    returns = expression.find(exp.ReturnsProperty)
+ 74    if kind.upper() == "FUNCTION" and returns and returns.args.get("is_table"):
+ 75        expression = expression.copy()
+ 76        expression.set("kind", "TABLE FUNCTION")
+ 77        if isinstance(
+ 78            expression.expression,
+ 79            (
+ 80                exp.Subquery,
+ 81                exp.Literal,
+ 82            ),
+ 83        ):
+ 84            expression.set("expression", expression.expression.this)
+ 85
+ 86        return self.create_sql(expression)
+ 87
+ 88    return self.create_sql(expression)
  89
- 90def _unqualify_unnest(expression: exp.Expression) -> exp.Expression:
- 91    """Remove references to unnest table aliases since bigquery doesn't allow them.
- 92
- 93    These are added by the optimizer's qualify_column step.
- 94    """
- 95    if isinstance(expression, exp.Select):
- 96        for unnest in expression.find_all(exp.Unnest):
- 97            if isinstance(unnest.parent, (exp.From, exp.Join)) and unnest.alias:
- 98                for select in expression.selects:
- 99                    for column in select.find_all(exp.Column):
-100                        if column.table == unnest.alias:
-101                            column.set("table", None)
-102
-103    return expression
-104
+ 90
+ 91def _unqualify_unnest(expression: exp.Expression) -> exp.Expression:
+ 92    """Remove references to unnest table aliases since bigquery doesn't allow them.
+ 93
+ 94    These are added by the optimizer's qualify_column step.
+ 95    """
+ 96    if isinstance(expression, exp.Select):
+ 97        for unnest in expression.find_all(exp.Unnest):
+ 98            if isinstance(unnest.parent, (exp.From, exp.Join)) and unnest.alias:
+ 99                for select in expression.selects:
+100                    for column in select.find_all(exp.Column):
+101                        if column.table == unnest.alias:
+102                            column.set("table", None)
+103
+104    return expression
 105
-106class BigQuery(Dialect):
-107    UNNEST_COLUMN_ONLY = True
-108
-109    TIME_MAPPING = {
-110        "%D": "%m/%d/%y",
-111    }
+106
+107class BigQuery(Dialect):
+108    UNNEST_COLUMN_ONLY = True
+109
+110    # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#case_sensitivity
+111    RESOLVES_IDENTIFIERS_AS_UPPERCASE = None
 112
-113    FORMAT_MAPPING = {
-114        "DD": "%d",
-115        "MM": "%m",
-116        "MON": "%b",
-117        "MONTH": "%B",
-118        "YYYY": "%Y",
-119        "YY": "%y",
-120        "HH": "%I",
-121        "HH12": "%I",
-122        "HH24": "%H",
-123        "MI": "%M",
-124        "SS": "%S",
-125        "SSSSS": "%f",
-126        "TZH": "%z",
-127    }
-128
-129    class Tokenizer(tokens.Tokenizer):
-130        QUOTES = ["'", '"', '"""', "'''"]
-131        COMMENTS = ["--", "#", ("/*", "*/")]
-132        IDENTIFIERS = ["`"]
-133        STRING_ESCAPES = ["\\"]
-134
-135        HEX_STRINGS = [("0x", ""), ("0X", "")]
-136
-137        BYTE_STRINGS = [
-138            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
-139        ]
-140
-141        RAW_STRINGS = [
-142            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
-143        ]
+113    TIME_MAPPING = {
+114        "%D": "%m/%d/%y",
+115    }
+116
+117    FORMAT_MAPPING = {
+118        "DD": "%d",
+119        "MM": "%m",
+120        "MON": "%b",
+121        "MONTH": "%B",
+122        "YYYY": "%Y",
+123        "YY": "%y",
+124        "HH": "%I",
+125        "HH12": "%I",
+126        "HH24": "%H",
+127        "MI": "%M",
+128        "SS": "%S",
+129        "SSSSS": "%f",
+130        "TZH": "%z",
+131    }
+132
+133    @classmethod
+134    def normalize_identifier(cls, expression: E) -> E:
+135        # In BigQuery, CTEs aren't case-sensitive, but table names are (by default, at least).
+136        # The following check is essentially a heuristic to detect tables based on whether or
+137        # not they're qualified.
+138        if (
+139            isinstance(expression, exp.Identifier)
+140            and not (isinstance(expression.parent, exp.Table) and expression.parent.db)
+141            and not expression.meta.get("is_table")
+142        ):
+143            expression.set("this", expression.this.lower())
 144
-145        KEYWORDS = {
-146            **tokens.Tokenizer.KEYWORDS,
-147            "ANY TYPE": TokenType.VARIANT,
-148            "BEGIN": TokenType.COMMAND,
-149            "BEGIN TRANSACTION": TokenType.BEGIN,
-150            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
-151            "BYTES": TokenType.BINARY,
-152            "DECLARE": TokenType.COMMAND,
-153            "FLOAT64": TokenType.DOUBLE,
-154            "INT64": TokenType.BIGINT,
-155            "RECORD": TokenType.STRUCT,
-156            "TIMESTAMP": TokenType.TIMESTAMPTZ,
-157            "NOT DETERMINISTIC": TokenType.VOLATILE,
-158            "UNKNOWN": TokenType.NULL,
-159        }
-160        KEYWORDS.pop("DIV")
-161
-162    class Parser(parser.Parser):
-163        PREFIXED_PIVOT_COLUMNS = True
-164
-165        LOG_BASE_FIRST = False
-166        LOG_DEFAULTS_TO_LN = True
-167
-168        FUNCTIONS = {
-169            **parser.Parser.FUNCTIONS,
-170            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
-171            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
-172            "DATE_TRUNC": lambda args: exp.DateTrunc(
-173                unit=exp.Literal.string(str(seq_get(args, 1))),
-174                this=seq_get(args, 0),
-175            ),
-176            "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd),
-177            "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub),
-178            "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
-179            "PARSE_DATE": lambda args: format_time_lambda(exp.StrToDate, "bigquery")(
-180                [seq_get(args, 1), seq_get(args, 0)]
-181            ),
-182            "PARSE_TIMESTAMP": lambda args: format_time_lambda(exp.StrToTime, "bigquery")(
-183                [seq_get(args, 1), seq_get(args, 0)]
-184            ),
-185            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
-186            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
-187                this=seq_get(args, 0),
-188                expression=seq_get(args, 1),
-189                position=seq_get(args, 2),
-190                occurrence=seq_get(args, 3),
-191                group=exp.Literal.number(1)
-192                if re.compile(str(seq_get(args, 1))).groups == 1
-193                else None,
-194            ),
-195            "SPLIT": lambda args: exp.Split(
-196                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
-197                this=seq_get(args, 0),
-198                expression=seq_get(args, 1) or exp.Literal.string(","),
+145        return expression
+146
+147    class Tokenizer(tokens.Tokenizer):
+148        QUOTES = ["'", '"', '"""', "'''"]
+149        COMMENTS = ["--", "#", ("/*", "*/")]
+150        IDENTIFIERS = ["`"]
+151        STRING_ESCAPES = ["\\"]
+152
+153        HEX_STRINGS = [("0x", ""), ("0X", "")]
+154
+155        BYTE_STRINGS = [
+156            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
+157        ]
+158
+159        RAW_STRINGS = [
+160            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
+161        ]
+162
+163        KEYWORDS = {
+164            **tokens.Tokenizer.KEYWORDS,
+165            "ANY TYPE": TokenType.VARIANT,
+166            "BEGIN": TokenType.COMMAND,
+167            "BEGIN TRANSACTION": TokenType.BEGIN,
+168            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
+169            "BYTES": TokenType.BINARY,
+170            "DECLARE": TokenType.COMMAND,
+171            "FLOAT64": TokenType.DOUBLE,
+172            "INT64": TokenType.BIGINT,
+173            "RECORD": TokenType.STRUCT,
+174            "TIMESTAMP": TokenType.TIMESTAMPTZ,
+175            "NOT DETERMINISTIC": TokenType.VOLATILE,
+176            "UNKNOWN": TokenType.NULL,
+177        }
+178        KEYWORDS.pop("DIV")
+179
+180    class Parser(parser.Parser):
+181        PREFIXED_PIVOT_COLUMNS = True
+182
+183        LOG_BASE_FIRST = False
+184        LOG_DEFAULTS_TO_LN = True
+185
+186        FUNCTIONS = {
+187            **parser.Parser.FUNCTIONS,
+188            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
+189            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
+190            "DATE_TRUNC": lambda args: exp.DateTrunc(
+191                unit=exp.Literal.string(str(seq_get(args, 1))),
+192                this=seq_get(args, 0),
+193            ),
+194            "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd),
+195            "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub),
+196            "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
+197            "PARSE_DATE": lambda args: format_time_lambda(exp.StrToDate, "bigquery")(
+198                [seq_get(args, 1), seq_get(args, 0)]
 199            ),
-200            "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd),
-201            "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub),
-202            "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd),
-203            "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub),
-204        }
-205
-206        FUNCTION_PARSERS = {
-207            **parser.Parser.FUNCTION_PARSERS,
-208            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
-209        }
-210        FUNCTION_PARSERS.pop("TRIM")
-211
-212        NO_PAREN_FUNCTIONS = {
-213            **parser.Parser.NO_PAREN_FUNCTIONS,
-214            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
-215        }
-216
-217        NESTED_TYPE_TOKENS = {
-218            *parser.Parser.NESTED_TYPE_TOKENS,
-219            TokenType.TABLE,
-220        }
-221
-222        ID_VAR_TOKENS = {
-223            *parser.Parser.ID_VAR_TOKENS,
-224            TokenType.VALUES,
-225        }
-226
-227        PROPERTY_PARSERS = {
-228            **parser.Parser.PROPERTY_PARSERS,
-229            "NOT DETERMINISTIC": lambda self: self.expression(
-230                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
-231            ),
-232            "OPTIONS": lambda self: self._parse_with_property(),
+200            "PARSE_TIMESTAMP": lambda args: format_time_lambda(exp.StrToTime, "bigquery")(
+201                [seq_get(args, 1), seq_get(args, 0)]
+202            ),
+203            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
+204            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
+205                this=seq_get(args, 0),
+206                expression=seq_get(args, 1),
+207                position=seq_get(args, 2),
+208                occurrence=seq_get(args, 3),
+209                group=exp.Literal.number(1)
+210                if re.compile(str(seq_get(args, 1))).groups == 1
+211                else None,
+212            ),
+213            "SPLIT": lambda args: exp.Split(
+214                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
+215                this=seq_get(args, 0),
+216                expression=seq_get(args, 1) or exp.Literal.string(","),
+217            ),
+218            "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd),
+219            "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub),
+220            "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd),
+221            "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub),
+222        }
+223
+224        FUNCTION_PARSERS = {
+225            **parser.Parser.FUNCTION_PARSERS,
+226            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
+227        }
+228        FUNCTION_PARSERS.pop("TRIM")
+229
+230        NO_PAREN_FUNCTIONS = {
+231            **parser.Parser.NO_PAREN_FUNCTIONS,
+232            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
 233        }
 234
-235        CONSTRAINT_PARSERS = {
-236            **parser.Parser.CONSTRAINT_PARSERS,
-237            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
+235        NESTED_TYPE_TOKENS = {
+236            *parser.Parser.NESTED_TYPE_TOKENS,
+237            TokenType.TABLE,
 238        }
 239
-240        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
-241            this = super()._parse_table_part(schema=schema)
-242
-243            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
-244            if isinstance(this, exp.Identifier):
-245                table_name = this.name
-246                while self._match(TokenType.DASH, advance=False) and self._next:
-247                    self._advance(2)
-248                    table_name += f"-{self._prev.text}"
-249
-250                this = exp.Identifier(this=table_name, quoted=this.args.get("quoted"))
-251
-252            return this
-253
-254        def _parse_table_parts(self, schema: bool = False) -> exp.Table:
-255            table = super()._parse_table_parts(schema=schema)
-256            if isinstance(table.this, exp.Identifier) and "." in table.name:
-257                catalog, db, this, *rest = (
-258                    t.cast(t.Optional[exp.Expression], exp.to_identifier(x))
-259                    for x in split_num_words(table.name, ".", 3)
-260                )
-261
-262                if rest and this:
-263                    this = exp.Dot.build(t.cast(t.List[exp.Expression], [this, *rest]))
-264
-265                table = exp.Table(this=this, db=db, catalog=catalog)
-266
-267            return table
-268
-269    class Generator(generator.Generator):
-270        EXPLICIT_UNION = True
-271        INTERVAL_ALLOWS_PLURAL_FORM = False
-272        JOIN_HINTS = False
-273        TABLE_HINTS = False
-274        LIMIT_FETCH = "LIMIT"
-275        RENAME_TABLE_WITH_DB = False
-276
-277        TRANSFORMS = {
-278            **generator.Generator.TRANSFORMS,
-279            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
-280            exp.ArraySize: rename_func("ARRAY_LENGTH"),
-281            exp.AtTimeZone: lambda self, e: self.func(
-282                "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone"))
-283            ),
-284            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
-285            exp.DateAdd: _date_add_sql("DATE", "ADD"),
-286            exp.DateSub: _date_add_sql("DATE", "SUB"),
-287            exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
-288            exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
-289            exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
-290            exp.DateStrToDate: datestrtodate_sql,
-291            exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")),
-292            exp.GroupConcat: rename_func("STRING_AGG"),
-293            exp.ILike: no_ilike_sql,
-294            exp.IntDiv: rename_func("DIV"),
-295            exp.Max: max_or_greatest,
-296            exp.Min: min_or_least,
-297            exp.RegexpExtract: lambda self, e: self.func(
-298                "REGEXP_EXTRACT",
-299                e.this,
-300                e.expression,
-301                e.args.get("position"),
-302                e.args.get("occurrence"),
-303            ),
-304            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
-305            exp.Select: transforms.preprocess(
-306                [_unqualify_unnest, transforms.eliminate_distinct_on]
-307            ),
-308            exp.StrToDate: lambda self, e: f"PARSE_DATE({self.format_time(e)}, {self.sql(e, 'this')})",
-309            exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
-310            exp.TimeAdd: _date_add_sql("TIME", "ADD"),
-311            exp.TimeSub: _date_add_sql("TIME", "SUB"),
-312            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
-313            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
-314            exp.TimeStrToTime: timestrtotime_sql,
-315            exp.TryCast: lambda self, e: f"SAFE_CAST({self.sql(e, 'this')} AS {self.sql(e, 'to')})",
-316            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
-317            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
-318            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-319            exp.VariancePop: rename_func("VAR_POP"),
-320            exp.Values: _derived_table_values_to_unnest,
-321            exp.ReturnsProperty: _returnsproperty_sql,
-322            exp.Create: _create_sql,
-323            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
-324            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
-325            if e.name == "IMMUTABLE"
-326            else "NOT DETERMINISTIC",
-327        }
-328
-329        TYPE_MAPPING = {
-330            **generator.Generator.TYPE_MAPPING,
-331            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
-332            exp.DataType.Type.BIGINT: "INT64",
-333            exp.DataType.Type.BINARY: "BYTES",
-334            exp.DataType.Type.BOOLEAN: "BOOL",
-335            exp.DataType.Type.CHAR: "STRING",
-336            exp.DataType.Type.DECIMAL: "NUMERIC",
-337            exp.DataType.Type.DOUBLE: "FLOAT64",
-338            exp.DataType.Type.FLOAT: "FLOAT64",
-339            exp.DataType.Type.INT: "INT64",
-340            exp.DataType.Type.NCHAR: "STRING",
-341            exp.DataType.Type.NVARCHAR: "STRING",
-342            exp.DataType.Type.SMALLINT: "INT64",
-343            exp.DataType.Type.TEXT: "STRING",
-344            exp.DataType.Type.TIMESTAMP: "DATETIME",
-345            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-346            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
-347            exp.DataType.Type.TINYINT: "INT64",
-348            exp.DataType.Type.VARBINARY: "BYTES",
-349            exp.DataType.Type.VARCHAR: "STRING",
-350            exp.DataType.Type.VARIANT: "ANY TYPE",
-351        }
-352
-353        PROPERTIES_LOCATION = {
-354            **generator.Generator.PROPERTIES_LOCATION,
-355            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-356            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-357        }
-358
-359        RESERVED_KEYWORDS = {*generator.Generator.RESERVED_KEYWORDS, "hash"}
-360
-361        def array_sql(self, expression: exp.Array) -> str:
-362            first_arg = seq_get(expression.expressions, 0)
-363            if isinstance(first_arg, exp.Subqueryable):
-364                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-365
-366            return inline_array_sql(self, expression)
-367
-368        def transaction_sql(self, *_) -> str:
-369            return "BEGIN TRANSACTION"
+240        ID_VAR_TOKENS = {
+241            *parser.Parser.ID_VAR_TOKENS,
+242            TokenType.VALUES,
+243        }
+244
+245        PROPERTY_PARSERS = {
+246            **parser.Parser.PROPERTY_PARSERS,
+247            "NOT DETERMINISTIC": lambda self: self.expression(
+248                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
+249            ),
+250            "OPTIONS": lambda self: self._parse_with_property(),
+251        }
+252
+253        CONSTRAINT_PARSERS = {
+254            **parser.Parser.CONSTRAINT_PARSERS,
+255            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
+256        }
+257
+258        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
+259            this = super()._parse_table_part(schema=schema)
+260
+261            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
+262            if isinstance(this, exp.Identifier):
+263                table_name = this.name
+264                while self._match(TokenType.DASH, advance=False) and self._next:
+265                    self._advance(2)
+266                    table_name += f"-{self._prev.text}"
+267
+268                this = exp.Identifier(this=table_name, quoted=this.args.get("quoted"))
+269
+270            return this
+271
+272        def _parse_table_parts(self, schema: bool = False) -> exp.Table:
+273            table = super()._parse_table_parts(schema=schema)
+274            if isinstance(table.this, exp.Identifier) and "." in table.name:
+275                catalog, db, this, *rest = (
+276                    t.cast(t.Optional[exp.Expression], exp.to_identifier(x))
+277                    for x in split_num_words(table.name, ".", 3)
+278                )
+279
+280                if rest and this:
+281                    this = exp.Dot.build(t.cast(t.List[exp.Expression], [this, *rest]))
+282
+283                table = exp.Table(this=this, db=db, catalog=catalog)
+284
+285            return table
+286
+287    class Generator(generator.Generator):
+288        EXPLICIT_UNION = True
+289        INTERVAL_ALLOWS_PLURAL_FORM = False
+290        JOIN_HINTS = False
+291        TABLE_HINTS = False
+292        LIMIT_FETCH = "LIMIT"
+293        RENAME_TABLE_WITH_DB = False
+294
+295        TRANSFORMS = {
+296            **generator.Generator.TRANSFORMS,
+297            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
+298            exp.ArraySize: rename_func("ARRAY_LENGTH"),
+299            exp.AtTimeZone: lambda self, e: self.func(
+300                "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone"))
+301            ),
+302            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
+303            exp.DateAdd: _date_add_sql("DATE", "ADD"),
+304            exp.DateSub: _date_add_sql("DATE", "SUB"),
+305            exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
+306            exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
+307            exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
+308            exp.DateStrToDate: datestrtodate_sql,
+309            exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")),
+310            exp.GroupConcat: rename_func("STRING_AGG"),
+311            exp.ILike: no_ilike_sql,
+312            exp.IntDiv: rename_func("DIV"),
+313            exp.Max: max_or_greatest,
+314            exp.Min: min_or_least,
+315            exp.RegexpExtract: lambda self, e: self.func(
+316                "REGEXP_EXTRACT",
+317                e.this,
+318                e.expression,
+319                e.args.get("position"),
+320                e.args.get("occurrence"),
+321            ),
+322            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
+323            exp.Select: transforms.preprocess(
+324                [_unqualify_unnest, transforms.eliminate_distinct_on]
+325            ),
+326            exp.StrToDate: lambda self, e: f"PARSE_DATE({self.format_time(e)}, {self.sql(e, 'this')})",
+327            exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
+328            exp.TimeAdd: _date_add_sql("TIME", "ADD"),
+329            exp.TimeSub: _date_add_sql("TIME", "SUB"),
+330            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
+331            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
+332            exp.TimeStrToTime: timestrtotime_sql,
+333            exp.TryCast: lambda self, e: f"SAFE_CAST({self.sql(e, 'this')} AS {self.sql(e, 'to')})",
+334            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
+335            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
+336            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+337            exp.VariancePop: rename_func("VAR_POP"),
+338            exp.Values: _derived_table_values_to_unnest,
+339            exp.ReturnsProperty: _returnsproperty_sql,
+340            exp.Create: _create_sql,
+341            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
+342            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
+343            if e.name == "IMMUTABLE"
+344            else "NOT DETERMINISTIC",
+345        }
+346
+347        TYPE_MAPPING = {
+348            **generator.Generator.TYPE_MAPPING,
+349            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
+350            exp.DataType.Type.BIGINT: "INT64",
+351            exp.DataType.Type.BINARY: "BYTES",
+352            exp.DataType.Type.BOOLEAN: "BOOL",
+353            exp.DataType.Type.CHAR: "STRING",
+354            exp.DataType.Type.DECIMAL: "NUMERIC",
+355            exp.DataType.Type.DOUBLE: "FLOAT64",
+356            exp.DataType.Type.FLOAT: "FLOAT64",
+357            exp.DataType.Type.INT: "INT64",
+358            exp.DataType.Type.NCHAR: "STRING",
+359            exp.DataType.Type.NVARCHAR: "STRING",
+360            exp.DataType.Type.SMALLINT: "INT64",
+361            exp.DataType.Type.TEXT: "STRING",
+362            exp.DataType.Type.TIMESTAMP: "DATETIME",
+363            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+364            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
+365            exp.DataType.Type.TINYINT: "INT64",
+366            exp.DataType.Type.VARBINARY: "BYTES",
+367            exp.DataType.Type.VARCHAR: "STRING",
+368            exp.DataType.Type.VARIANT: "ANY TYPE",
+369        }
 370
-371        def commit_sql(self, *_) -> str:
-372            return "COMMIT TRANSACTION"
-373
-374        def rollback_sql(self, *_) -> str:
-375            return "ROLLBACK TRANSACTION"
+371        PROPERTIES_LOCATION = {
+372            **generator.Generator.PROPERTIES_LOCATION,
+373            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+374            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+375        }
 376
-377        def in_unnest_op(self, expression: exp.Unnest) -> str:
-378            return self.sql(expression)
-379
-380        def except_op(self, expression: exp.Except) -> str:
-381            if not expression.args.get("distinct", False):
-382                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-383            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-384
-385        def intersect_op(self, expression: exp.Intersect) -> str:
-386            if not expression.args.get("distinct", False):
-387                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-388            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-389
-390        def with_properties(self, properties: exp.Properties) -> str:
-391            return self.properties(properties, prefix=self.seg("OPTIONS"))
+377        RESERVED_KEYWORDS = {*generator.Generator.RESERVED_KEYWORDS, "hash"}
+378
+379        def array_sql(self, expression: exp.Array) -> str:
+380            first_arg = seq_get(expression.expressions, 0)
+381            if isinstance(first_arg, exp.Subqueryable):
+382                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+383
+384            return inline_array_sql(self, expression)
+385
+386        def transaction_sql(self, *_) -> str:
+387            return "BEGIN TRANSACTION"
+388
+389        def commit_sql(self, *_) -> str:
+390            return "COMMIT TRANSACTION"
+391
+392        def rollback_sql(self, *_) -> str:
+393            return "ROLLBACK TRANSACTION"
+394
+395        def in_unnest_op(self, expression: exp.Unnest) -> str:
+396            return self.sql(expression)
+397
+398        def except_op(self, expression: exp.Except) -> str:
+399            if not expression.args.get("distinct", False):
+400                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+401            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+402
+403        def intersect_op(self, expression: exp.Intersect) -> str:
+404            if not expression.args.get("distinct", False):
+405                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+406            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+407
+408        def with_properties(self, properties: exp.Properties) -> str:
+409            return self.properties(properties, prefix=self.seg("OPTIONS"))
 
        • 
 
 
@@ -507,303 +531,358 @@
 
     
        
     
-            
        107class BigQuery(Dialect):
-108    UNNEST_COLUMN_ONLY = True
-109
-110    TIME_MAPPING = {
-111        "%D": "%m/%d/%y",
-112    }
+            
        108class BigQuery(Dialect):
+109    UNNEST_COLUMN_ONLY = True
+110
+111    # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#case_sensitivity
+112    RESOLVES_IDENTIFIERS_AS_UPPERCASE = None
 113
-114    FORMAT_MAPPING = {
-115        "DD": "%d",
-116        "MM": "%m",
-117        "MON": "%b",
-118        "MONTH": "%B",
-119        "YYYY": "%Y",
-120        "YY": "%y",
-121        "HH": "%I",
-122        "HH12": "%I",
-123        "HH24": "%H",
-124        "MI": "%M",
-125        "SS": "%S",
-126        "SSSSS": "%f",
-127        "TZH": "%z",
-128    }
-129
-130    class Tokenizer(tokens.Tokenizer):
-131        QUOTES = ["'", '"', '"""', "'''"]
-132        COMMENTS = ["--", "#", ("/*", "*/")]
-133        IDENTIFIERS = ["`"]
-134        STRING_ESCAPES = ["\\"]
-135
-136        HEX_STRINGS = [("0x", ""), ("0X", "")]
-137
-138        BYTE_STRINGS = [
-139            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
-140        ]
-141
-142        RAW_STRINGS = [
-143            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
-144        ]
+114    TIME_MAPPING = {
+115        "%D": "%m/%d/%y",
+116    }
+117
+118    FORMAT_MAPPING = {
+119        "DD": "%d",
+120        "MM": "%m",
+121        "MON": "%b",
+122        "MONTH": "%B",
+123        "YYYY": "%Y",
+124        "YY": "%y",
+125        "HH": "%I",
+126        "HH12": "%I",
+127        "HH24": "%H",
+128        "MI": "%M",
+129        "SS": "%S",
+130        "SSSSS": "%f",
+131        "TZH": "%z",
+132    }
+133
+134    @classmethod
+135    def normalize_identifier(cls, expression: E) -> E:
+136        # In BigQuery, CTEs aren't case-sensitive, but table names are (by default, at least).
+137        # The following check is essentially a heuristic to detect tables based on whether or
+138        # not they're qualified.
+139        if (
+140            isinstance(expression, exp.Identifier)
+141            and not (isinstance(expression.parent, exp.Table) and expression.parent.db)
+142            and not expression.meta.get("is_table")
+143        ):
+144            expression.set("this", expression.this.lower())
 145
-146        KEYWORDS = {
-147            **tokens.Tokenizer.KEYWORDS,
-148            "ANY TYPE": TokenType.VARIANT,
-149            "BEGIN": TokenType.COMMAND,
-150            "BEGIN TRANSACTION": TokenType.BEGIN,
-151            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
-152            "BYTES": TokenType.BINARY,
-153            "DECLARE": TokenType.COMMAND,
-154            "FLOAT64": TokenType.DOUBLE,
-155            "INT64": TokenType.BIGINT,
-156            "RECORD": TokenType.STRUCT,
-157            "TIMESTAMP": TokenType.TIMESTAMPTZ,
-158            "NOT DETERMINISTIC": TokenType.VOLATILE,
-159            "UNKNOWN": TokenType.NULL,
-160        }
-161        KEYWORDS.pop("DIV")
-162
-163    class Parser(parser.Parser):
-164        PREFIXED_PIVOT_COLUMNS = True
-165
-166        LOG_BASE_FIRST = False
-167        LOG_DEFAULTS_TO_LN = True
-168
-169        FUNCTIONS = {
-170            **parser.Parser.FUNCTIONS,
-171            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
-172            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
-173            "DATE_TRUNC": lambda args: exp.DateTrunc(
-174                unit=exp.Literal.string(str(seq_get(args, 1))),
-175                this=seq_get(args, 0),
-176            ),
-177            "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd),
-178            "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub),
-179            "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
-180            "PARSE_DATE": lambda args: format_time_lambda(exp.StrToDate, "bigquery")(
-181                [seq_get(args, 1), seq_get(args, 0)]
-182            ),
-183            "PARSE_TIMESTAMP": lambda args: format_time_lambda(exp.StrToTime, "bigquery")(
-184                [seq_get(args, 1), seq_get(args, 0)]
-185            ),
-186            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
-187            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
-188                this=seq_get(args, 0),
-189                expression=seq_get(args, 1),
-190                position=seq_get(args, 2),
-191                occurrence=seq_get(args, 3),
-192                group=exp.Literal.number(1)
-193                if re.compile(str(seq_get(args, 1))).groups == 1
-194                else None,
-195            ),
-196            "SPLIT": lambda args: exp.Split(
-197                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
-198                this=seq_get(args, 0),
-199                expression=seq_get(args, 1) or exp.Literal.string(","),
+146        return expression
+147
+148    class Tokenizer(tokens.Tokenizer):
+149        QUOTES = ["'", '"', '"""', "'''"]
+150        COMMENTS = ["--", "#", ("/*", "*/")]
+151        IDENTIFIERS = ["`"]
+152        STRING_ESCAPES = ["\\"]
+153
+154        HEX_STRINGS = [("0x", ""), ("0X", "")]
+155
+156        BYTE_STRINGS = [
+157            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
+158        ]
+159
+160        RAW_STRINGS = [
+161            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
+162        ]
+163
+164        KEYWORDS = {
+165            **tokens.Tokenizer.KEYWORDS,
+166            "ANY TYPE": TokenType.VARIANT,
+167            "BEGIN": TokenType.COMMAND,
+168            "BEGIN TRANSACTION": TokenType.BEGIN,
+169            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
+170            "BYTES": TokenType.BINARY,
+171            "DECLARE": TokenType.COMMAND,
+172            "FLOAT64": TokenType.DOUBLE,
+173            "INT64": TokenType.BIGINT,
+174            "RECORD": TokenType.STRUCT,
+175            "TIMESTAMP": TokenType.TIMESTAMPTZ,
+176            "NOT DETERMINISTIC": TokenType.VOLATILE,
+177            "UNKNOWN": TokenType.NULL,
+178        }
+179        KEYWORDS.pop("DIV")
+180
+181    class Parser(parser.Parser):
+182        PREFIXED_PIVOT_COLUMNS = True
+183
+184        LOG_BASE_FIRST = False
+185        LOG_DEFAULTS_TO_LN = True
+186
+187        FUNCTIONS = {
+188            **parser.Parser.FUNCTIONS,
+189            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
+190            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
+191            "DATE_TRUNC": lambda args: exp.DateTrunc(
+192                unit=exp.Literal.string(str(seq_get(args, 1))),
+193                this=seq_get(args, 0),
+194            ),
+195            "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd),
+196            "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub),
+197            "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
+198            "PARSE_DATE": lambda args: format_time_lambda(exp.StrToDate, "bigquery")(
+199                [seq_get(args, 1), seq_get(args, 0)]
 200            ),
-201            "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd),
-202            "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub),
-203            "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd),
-204            "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub),
-205        }
-206
-207        FUNCTION_PARSERS = {
-208            **parser.Parser.FUNCTION_PARSERS,
-209            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
-210        }
-211        FUNCTION_PARSERS.pop("TRIM")
-212
-213        NO_PAREN_FUNCTIONS = {
-214            **parser.Parser.NO_PAREN_FUNCTIONS,
-215            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
-216        }
-217
-218        NESTED_TYPE_TOKENS = {
-219            *parser.Parser.NESTED_TYPE_TOKENS,
-220            TokenType.TABLE,
-221        }
-222
-223        ID_VAR_TOKENS = {
-224            *parser.Parser.ID_VAR_TOKENS,
-225            TokenType.VALUES,
-226        }
-227
-228        PROPERTY_PARSERS = {
-229            **parser.Parser.PROPERTY_PARSERS,
-230            "NOT DETERMINISTIC": lambda self: self.expression(
-231                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
-232            ),
-233            "OPTIONS": lambda self: self._parse_with_property(),
+201            "PARSE_TIMESTAMP": lambda args: format_time_lambda(exp.StrToTime, "bigquery")(
+202                [seq_get(args, 1), seq_get(args, 0)]
+203            ),
+204            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
+205            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
+206                this=seq_get(args, 0),
+207                expression=seq_get(args, 1),
+208                position=seq_get(args, 2),
+209                occurrence=seq_get(args, 3),
+210                group=exp.Literal.number(1)
+211                if re.compile(str(seq_get(args, 1))).groups == 1
+212                else None,
+213            ),
+214            "SPLIT": lambda args: exp.Split(
+215                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
+216                this=seq_get(args, 0),
+217                expression=seq_get(args, 1) or exp.Literal.string(","),
+218            ),
+219            "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd),
+220            "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub),
+221            "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd),
+222            "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub),
+223        }
+224
+225        FUNCTION_PARSERS = {
+226            **parser.Parser.FUNCTION_PARSERS,
+227            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
+228        }
+229        FUNCTION_PARSERS.pop("TRIM")
+230
+231        NO_PAREN_FUNCTIONS = {
+232            **parser.Parser.NO_PAREN_FUNCTIONS,
+233            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
 234        }
 235
-236        CONSTRAINT_PARSERS = {
-237            **parser.Parser.CONSTRAINT_PARSERS,
-238            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
+236        NESTED_TYPE_TOKENS = {
+237            *parser.Parser.NESTED_TYPE_TOKENS,
+238            TokenType.TABLE,
 239        }
 240
-241        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
-242            this = super()._parse_table_part(schema=schema)
-243
-244            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
-245            if isinstance(this, exp.Identifier):
-246                table_name = this.name
-247                while self._match(TokenType.DASH, advance=False) and self._next:
-248                    self._advance(2)
-249                    table_name += f"-{self._prev.text}"
-250
-251                this = exp.Identifier(this=table_name, quoted=this.args.get("quoted"))
-252
-253            return this
-254
-255        def _parse_table_parts(self, schema: bool = False) -> exp.Table:
-256            table = super()._parse_table_parts(schema=schema)
-257            if isinstance(table.this, exp.Identifier) and "." in table.name:
-258                catalog, db, this, *rest = (
-259                    t.cast(t.Optional[exp.Expression], exp.to_identifier(x))
-260                    for x in split_num_words(table.name, ".", 3)
-261                )
-262
-263                if rest and this:
-264                    this = exp.Dot.build(t.cast(t.List[exp.Expression], [this, *rest]))
-265
-266                table = exp.Table(this=this, db=db, catalog=catalog)
-267
-268            return table
-269
-270    class Generator(generator.Generator):
-271        EXPLICIT_UNION = True
-272        INTERVAL_ALLOWS_PLURAL_FORM = False
-273        JOIN_HINTS = False
-274        TABLE_HINTS = False
-275        LIMIT_FETCH = "LIMIT"
-276        RENAME_TABLE_WITH_DB = False
-277
-278        TRANSFORMS = {
-279            **generator.Generator.TRANSFORMS,
-280            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
-281            exp.ArraySize: rename_func("ARRAY_LENGTH"),
-282            exp.AtTimeZone: lambda self, e: self.func(
-283                "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone"))
-284            ),
-285            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
-286            exp.DateAdd: _date_add_sql("DATE", "ADD"),
-287            exp.DateSub: _date_add_sql("DATE", "SUB"),
-288            exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
-289            exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
-290            exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
-291            exp.DateStrToDate: datestrtodate_sql,
-292            exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")),
-293            exp.GroupConcat: rename_func("STRING_AGG"),
-294            exp.ILike: no_ilike_sql,
-295            exp.IntDiv: rename_func("DIV"),
-296            exp.Max: max_or_greatest,
-297            exp.Min: min_or_least,
-298            exp.RegexpExtract: lambda self, e: self.func(
-299                "REGEXP_EXTRACT",
-300                e.this,
-301                e.expression,
-302                e.args.get("position"),
-303                e.args.get("occurrence"),
-304            ),
-305            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
-306            exp.Select: transforms.preprocess(
-307                [_unqualify_unnest, transforms.eliminate_distinct_on]
-308            ),
-309            exp.StrToDate: lambda self, e: f"PARSE_DATE({self.format_time(e)}, {self.sql(e, 'this')})",
-310            exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
-311            exp.TimeAdd: _date_add_sql("TIME", "ADD"),
-312            exp.TimeSub: _date_add_sql("TIME", "SUB"),
-313            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
-314            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
-315            exp.TimeStrToTime: timestrtotime_sql,
-316            exp.TryCast: lambda self, e: f"SAFE_CAST({self.sql(e, 'this')} AS {self.sql(e, 'to')})",
-317            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
-318            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
-319            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-320            exp.VariancePop: rename_func("VAR_POP"),
-321            exp.Values: _derived_table_values_to_unnest,
-322            exp.ReturnsProperty: _returnsproperty_sql,
-323            exp.Create: _create_sql,
-324            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
-325            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
-326            if e.name == "IMMUTABLE"
-327            else "NOT DETERMINISTIC",
-328        }
-329
-330        TYPE_MAPPING = {
-331            **generator.Generator.TYPE_MAPPING,
-332            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
-333            exp.DataType.Type.BIGINT: "INT64",
-334            exp.DataType.Type.BINARY: "BYTES",
-335            exp.DataType.Type.BOOLEAN: "BOOL",
-336            exp.DataType.Type.CHAR: "STRING",
-337            exp.DataType.Type.DECIMAL: "NUMERIC",
-338            exp.DataType.Type.DOUBLE: "FLOAT64",
-339            exp.DataType.Type.FLOAT: "FLOAT64",
-340            exp.DataType.Type.INT: "INT64",
-341            exp.DataType.Type.NCHAR: "STRING",
-342            exp.DataType.Type.NVARCHAR: "STRING",
-343            exp.DataType.Type.SMALLINT: "INT64",
-344            exp.DataType.Type.TEXT: "STRING",
-345            exp.DataType.Type.TIMESTAMP: "DATETIME",
-346            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-347            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
-348            exp.DataType.Type.TINYINT: "INT64",
-349            exp.DataType.Type.VARBINARY: "BYTES",
-350            exp.DataType.Type.VARCHAR: "STRING",
-351            exp.DataType.Type.VARIANT: "ANY TYPE",
-352        }
-353
-354        PROPERTIES_LOCATION = {
-355            **generator.Generator.PROPERTIES_LOCATION,
-356            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-357            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-358        }
-359
-360        RESERVED_KEYWORDS = {*generator.Generator.RESERVED_KEYWORDS, "hash"}
-361
-362        def array_sql(self, expression: exp.Array) -> str:
-363            first_arg = seq_get(expression.expressions, 0)
-364            if isinstance(first_arg, exp.Subqueryable):
-365                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-366
-367            return inline_array_sql(self, expression)
-368
-369        def transaction_sql(self, *_) -> str:
-370            return "BEGIN TRANSACTION"
+241        ID_VAR_TOKENS = {
+242            *parser.Parser.ID_VAR_TOKENS,
+243            TokenType.VALUES,
+244        }
+245
+246        PROPERTY_PARSERS = {
+247            **parser.Parser.PROPERTY_PARSERS,
+248            "NOT DETERMINISTIC": lambda self: self.expression(
+249                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
+250            ),
+251            "OPTIONS": lambda self: self._parse_with_property(),
+252        }
+253
+254        CONSTRAINT_PARSERS = {
+255            **parser.Parser.CONSTRAINT_PARSERS,
+256            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
+257        }
+258
+259        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
+260            this = super()._parse_table_part(schema=schema)
+261
+262            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
+263            if isinstance(this, exp.Identifier):
+264                table_name = this.name
+265                while self._match(TokenType.DASH, advance=False) and self._next:
+266                    self._advance(2)
+267                    table_name += f"-{self._prev.text}"
+268
+269                this = exp.Identifier(this=table_name, quoted=this.args.get("quoted"))
+270
+271            return this
+272
+273        def _parse_table_parts(self, schema: bool = False) -> exp.Table:
+274            table = super()._parse_table_parts(schema=schema)
+275            if isinstance(table.this, exp.Identifier) and "." in table.name:
+276                catalog, db, this, *rest = (
+277                    t.cast(t.Optional[exp.Expression], exp.to_identifier(x))
+278                    for x in split_num_words(table.name, ".", 3)
+279                )
+280
+281                if rest and this:
+282                    this = exp.Dot.build(t.cast(t.List[exp.Expression], [this, *rest]))
+283
+284                table = exp.Table(this=this, db=db, catalog=catalog)
+285
+286            return table
+287
+288    class Generator(generator.Generator):
+289        EXPLICIT_UNION = True
+290        INTERVAL_ALLOWS_PLURAL_FORM = False
+291        JOIN_HINTS = False
+292        TABLE_HINTS = False
+293        LIMIT_FETCH = "LIMIT"
+294        RENAME_TABLE_WITH_DB = False
+295
+296        TRANSFORMS = {
+297            **generator.Generator.TRANSFORMS,
+298            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
+299            exp.ArraySize: rename_func("ARRAY_LENGTH"),
+300            exp.AtTimeZone: lambda self, e: self.func(
+301                "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone"))
+302            ),
+303            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
+304            exp.DateAdd: _date_add_sql("DATE", "ADD"),
+305            exp.DateSub: _date_add_sql("DATE", "SUB"),
+306            exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
+307            exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
+308            exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
+309            exp.DateStrToDate: datestrtodate_sql,
+310            exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")),
+311            exp.GroupConcat: rename_func("STRING_AGG"),
+312            exp.ILike: no_ilike_sql,
+313            exp.IntDiv: rename_func("DIV"),
+314            exp.Max: max_or_greatest,
+315            exp.Min: min_or_least,
+316            exp.RegexpExtract: lambda self, e: self.func(
+317                "REGEXP_EXTRACT",
+318                e.this,
+319                e.expression,
+320                e.args.get("position"),
+321                e.args.get("occurrence"),
+322            ),
+323            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
+324            exp.Select: transforms.preprocess(
+325                [_unqualify_unnest, transforms.eliminate_distinct_on]
+326            ),
+327            exp.StrToDate: lambda self, e: f"PARSE_DATE({self.format_time(e)}, {self.sql(e, 'this')})",
+328            exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
+329            exp.TimeAdd: _date_add_sql("TIME", "ADD"),
+330            exp.TimeSub: _date_add_sql("TIME", "SUB"),
+331            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
+332            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
+333            exp.TimeStrToTime: timestrtotime_sql,
+334            exp.TryCast: lambda self, e: f"SAFE_CAST({self.sql(e, 'this')} AS {self.sql(e, 'to')})",
+335            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
+336            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
+337            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+338            exp.VariancePop: rename_func("VAR_POP"),
+339            exp.Values: _derived_table_values_to_unnest,
+340            exp.ReturnsProperty: _returnsproperty_sql,
+341            exp.Create: _create_sql,
+342            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
+343            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
+344            if e.name == "IMMUTABLE"
+345            else "NOT DETERMINISTIC",
+346        }
+347
+348        TYPE_MAPPING = {
+349            **generator.Generator.TYPE_MAPPING,
+350            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
+351            exp.DataType.Type.BIGINT: "INT64",
+352            exp.DataType.Type.BINARY: "BYTES",
+353            exp.DataType.Type.BOOLEAN: "BOOL",
+354            exp.DataType.Type.CHAR: "STRING",
+355            exp.DataType.Type.DECIMAL: "NUMERIC",
+356            exp.DataType.Type.DOUBLE: "FLOAT64",
+357            exp.DataType.Type.FLOAT: "FLOAT64",
+358            exp.DataType.Type.INT: "INT64",
+359            exp.DataType.Type.NCHAR: "STRING",
+360            exp.DataType.Type.NVARCHAR: "STRING",
+361            exp.DataType.Type.SMALLINT: "INT64",
+362            exp.DataType.Type.TEXT: "STRING",
+363            exp.DataType.Type.TIMESTAMP: "DATETIME",
+364            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+365            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
+366            exp.DataType.Type.TINYINT: "INT64",
+367            exp.DataType.Type.VARBINARY: "BYTES",
+368            exp.DataType.Type.VARCHAR: "STRING",
+369            exp.DataType.Type.VARIANT: "ANY TYPE",
+370        }
 371
-372        def commit_sql(self, *_) -> str:
-373            return "COMMIT TRANSACTION"
-374
-375        def rollback_sql(self, *_) -> str:
-376            return "ROLLBACK TRANSACTION"
+372        PROPERTIES_LOCATION = {
+373            **generator.Generator.PROPERTIES_LOCATION,
+374            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+375            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+376        }
 377
-378        def in_unnest_op(self, expression: exp.Unnest) -> str:
-379            return self.sql(expression)
-380
-381        def except_op(self, expression: exp.Except) -> str:
-382            if not expression.args.get("distinct", False):
-383                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-384            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-385
-386        def intersect_op(self, expression: exp.Intersect) -> str:
-387            if not expression.args.get("distinct", False):
-388                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-389            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-390
-391        def with_properties(self, properties: exp.Properties) -> str:
-392            return self.properties(properties, prefix=self.seg("OPTIONS"))
+378        RESERVED_KEYWORDS = {*generator.Generator.RESERVED_KEYWORDS, "hash"}
+379
+380        def array_sql(self, expression: exp.Array) -> str:
+381            first_arg = seq_get(expression.expressions, 0)
+382            if isinstance(first_arg, exp.Subqueryable):
+383                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+384
+385            return inline_array_sql(self, expression)
+386
+387        def transaction_sql(self, *_) -> str:
+388            return "BEGIN TRANSACTION"
+389
+390        def commit_sql(self, *_) -> str:
+391            return "COMMIT TRANSACTION"
+392
+393        def rollback_sql(self, *_) -> str:
+394            return "ROLLBACK TRANSACTION"
+395
+396        def in_unnest_op(self, expression: exp.Unnest) -> str:
+397            return self.sql(expression)
+398
+399        def except_op(self, expression: exp.Except) -> str:
+400            if not expression.args.get("distinct", False):
+401                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+402            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+403
+404        def intersect_op(self, expression: exp.Intersect) -> str:
+405            if not expression.args.get("distinct", False):
+406                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+407            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+408
+409        def with_properties(self, properties: exp.Properties) -> str:
+410            return self.properties(properties, prefix=self.seg("OPTIONS"))
 
        
 
 
     
 
+                            
        
+                                        
+
        
+                    
        @classmethod
        
+
+        def
+        normalize_identifier(cls, expression: ~E) -> ~E:
+
+                
+
+    
        
+    
+            
        134    @classmethod
+135    def normalize_identifier(cls, expression: E) -> E:
+136        # In BigQuery, CTEs aren't case-sensitive, but table names are (by default, at least).
+137        # The following check is essentially a heuristic to detect tables based on whether or
+138        # not they're qualified.
+139        if (
+140            isinstance(expression, exp.Identifier)
+141            and not (isinstance(expression.parent, exp.Table) and expression.parent.db)
+142            and not expression.meta.get("is_table")
+143        ):
+144            expression.set("this", expression.this.lower())
+145
+146        return expression
+
        
+
+
+            
        Normalizes an unquoted identifier to either lower or upper case, thus essentially
+making it case-insensitive. If a dialect treats all identifiers as case-insensitive,
+they will be normalized regardless of being quoted or not.
        
+
        
+
+
+                            
        
                             
        
                                 
        Inherited Members
        
                                 
        
                                     
     
-            
        130    class Tokenizer(tokens.Tokenizer):
-131        QUOTES = ["'", '"', '"""', "'''"]
-132        COMMENTS = ["--", "#", ("/*", "*/")]
-133        IDENTIFIERS = ["`"]
-134        STRING_ESCAPES = ["\\"]
-135
-136        HEX_STRINGS = [("0x", ""), ("0X", "")]
-137
-138        BYTE_STRINGS = [
-139            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
-140        ]
-141
-142        RAW_STRINGS = [
-143            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
-144        ]
-145
-146        KEYWORDS = {
-147            **tokens.Tokenizer.KEYWORDS,
-148            "ANY TYPE": TokenType.VARIANT,
-149            "BEGIN": TokenType.COMMAND,
-150            "BEGIN TRANSACTION": TokenType.BEGIN,
-151            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
-152            "BYTES": TokenType.BINARY,
-153            "DECLARE": TokenType.COMMAND,
-154            "FLOAT64": TokenType.DOUBLE,
-155            "INT64": TokenType.BIGINT,
-156            "RECORD": TokenType.STRUCT,
-157            "TIMESTAMP": TokenType.TIMESTAMPTZ,
-158            "NOT DETERMINISTIC": TokenType.VOLATILE,
-159            "UNKNOWN": TokenType.NULL,
-160        }
-161        KEYWORDS.pop("DIV")
+            
        148    class Tokenizer(tokens.Tokenizer):
+149        QUOTES = ["'", '"', '"""', "'''"]
+150        COMMENTS = ["--", "#", ("/*", "*/")]
+151        IDENTIFIERS = ["`"]
+152        STRING_ESCAPES = ["\\"]
+153
+154        HEX_STRINGS = [("0x", ""), ("0X", "")]
+155
+156        BYTE_STRINGS = [
+157            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
+158        ]
+159
+160        RAW_STRINGS = [
+161            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
+162        ]
+163
+164        KEYWORDS = {
+165            **tokens.Tokenizer.KEYWORDS,
+166            "ANY TYPE": TokenType.VARIANT,
+167            "BEGIN": TokenType.COMMAND,
+168            "BEGIN TRANSACTION": TokenType.BEGIN,
+169            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
+170            "BYTES": TokenType.BINARY,
+171            "DECLARE": TokenType.COMMAND,
+172            "FLOAT64": TokenType.DOUBLE,
+173            "INT64": TokenType.BIGINT,
+174            "RECORD": TokenType.STRUCT,
+175            "TIMESTAMP": TokenType.TIMESTAMPTZ,
+176            "NOT DETERMINISTIC": TokenType.VOLATILE,
+177            "UNKNOWN": TokenType.NULL,
+178        }
+179        KEYWORDS.pop("DIV")
 
        
 
 
@@ -887,112 +966,112 @@
 
     
        
     
-            
        163    class Parser(parser.Parser):
-164        PREFIXED_PIVOT_COLUMNS = True
-165
-166        LOG_BASE_FIRST = False
-167        LOG_DEFAULTS_TO_LN = True
-168
-169        FUNCTIONS = {
-170            **parser.Parser.FUNCTIONS,
-171            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
-172            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
-173            "DATE_TRUNC": lambda args: exp.DateTrunc(
-174                unit=exp.Literal.string(str(seq_get(args, 1))),
-175                this=seq_get(args, 0),
-176            ),
-177            "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd),
-178            "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub),
-179            "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
-180            "PARSE_DATE": lambda args: format_time_lambda(exp.StrToDate, "bigquery")(
-181                [seq_get(args, 1), seq_get(args, 0)]
-182            ),
-183            "PARSE_TIMESTAMP": lambda args: format_time_lambda(exp.StrToTime, "bigquery")(
-184                [seq_get(args, 1), seq_get(args, 0)]
-185            ),
-186            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
-187            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
-188                this=seq_get(args, 0),
-189                expression=seq_get(args, 1),
-190                position=seq_get(args, 2),
-191                occurrence=seq_get(args, 3),
-192                group=exp.Literal.number(1)
-193                if re.compile(str(seq_get(args, 1))).groups == 1
-194                else None,
-195            ),
-196            "SPLIT": lambda args: exp.Split(
-197                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
-198                this=seq_get(args, 0),
-199                expression=seq_get(args, 1) or exp.Literal.string(","),
+            
        181    class Parser(parser.Parser):
+182        PREFIXED_PIVOT_COLUMNS = True
+183
+184        LOG_BASE_FIRST = False
+185        LOG_DEFAULTS_TO_LN = True
+186
+187        FUNCTIONS = {
+188            **parser.Parser.FUNCTIONS,
+189            "DATE_ADD": parse_date_delta_with_interval(exp.DateAdd),
+190            "DATE_SUB": parse_date_delta_with_interval(exp.DateSub),
+191            "DATE_TRUNC": lambda args: exp.DateTrunc(
+192                unit=exp.Literal.string(str(seq_get(args, 1))),
+193                this=seq_get(args, 0),
+194            ),
+195            "DATETIME_ADD": parse_date_delta_with_interval(exp.DatetimeAdd),
+196            "DATETIME_SUB": parse_date_delta_with_interval(exp.DatetimeSub),
+197            "DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
+198            "PARSE_DATE": lambda args: format_time_lambda(exp.StrToDate, "bigquery")(
+199                [seq_get(args, 1), seq_get(args, 0)]
 200            ),
-201            "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd),
-202            "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub),
-203            "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd),
-204            "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub),
-205        }
-206
-207        FUNCTION_PARSERS = {
-208            **parser.Parser.FUNCTION_PARSERS,
-209            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
-210        }
-211        FUNCTION_PARSERS.pop("TRIM")
-212
-213        NO_PAREN_FUNCTIONS = {
-214            **parser.Parser.NO_PAREN_FUNCTIONS,
-215            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
-216        }
-217
-218        NESTED_TYPE_TOKENS = {
-219            *parser.Parser.NESTED_TYPE_TOKENS,
-220            TokenType.TABLE,
-221        }
-222
-223        ID_VAR_TOKENS = {
-224            *parser.Parser.ID_VAR_TOKENS,
-225            TokenType.VALUES,
-226        }
-227
-228        PROPERTY_PARSERS = {
-229            **parser.Parser.PROPERTY_PARSERS,
-230            "NOT DETERMINISTIC": lambda self: self.expression(
-231                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
-232            ),
-233            "OPTIONS": lambda self: self._parse_with_property(),
+201            "PARSE_TIMESTAMP": lambda args: format_time_lambda(exp.StrToTime, "bigquery")(
+202                [seq_get(args, 1), seq_get(args, 0)]
+203            ),
+204            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
+205            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
+206                this=seq_get(args, 0),
+207                expression=seq_get(args, 1),
+208                position=seq_get(args, 2),
+209                occurrence=seq_get(args, 3),
+210                group=exp.Literal.number(1)
+211                if re.compile(str(seq_get(args, 1))).groups == 1
+212                else None,
+213            ),
+214            "SPLIT": lambda args: exp.Split(
+215                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
+216                this=seq_get(args, 0),
+217                expression=seq_get(args, 1) or exp.Literal.string(","),
+218            ),
+219            "TIME_ADD": parse_date_delta_with_interval(exp.TimeAdd),
+220            "TIME_SUB": parse_date_delta_with_interval(exp.TimeSub),
+221            "TIMESTAMP_ADD": parse_date_delta_with_interval(exp.TimestampAdd),
+222            "TIMESTAMP_SUB": parse_date_delta_with_interval(exp.TimestampSub),
+223        }
+224
+225        FUNCTION_PARSERS = {
+226            **parser.Parser.FUNCTION_PARSERS,
+227            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
+228        }
+229        FUNCTION_PARSERS.pop("TRIM")
+230
+231        NO_PAREN_FUNCTIONS = {
+232            **parser.Parser.NO_PAREN_FUNCTIONS,
+233            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
 234        }
 235
-236        CONSTRAINT_PARSERS = {
-237            **parser.Parser.CONSTRAINT_PARSERS,
-238            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
+236        NESTED_TYPE_TOKENS = {
+237            *parser.Parser.NESTED_TYPE_TOKENS,
+238            TokenType.TABLE,
 239        }
 240
-241        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
-242            this = super()._parse_table_part(schema=schema)
-243
-244            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
-245            if isinstance(this, exp.Identifier):
-246                table_name = this.name
-247                while self._match(TokenType.DASH, advance=False) and self._next:
-248                    self._advance(2)
-249                    table_name += f"-{self._prev.text}"
-250
-251                this = exp.Identifier(this=table_name, quoted=this.args.get("quoted"))
-252
-253            return this
-254
-255        def _parse_table_parts(self, schema: bool = False) -> exp.Table:
-256            table = super()._parse_table_parts(schema=schema)
-257            if isinstance(table.this, exp.Identifier) and "." in table.name:
-258                catalog, db, this, *rest = (
-259                    t.cast(t.Optional[exp.Expression], exp.to_identifier(x))
-260                    for x in split_num_words(table.name, ".", 3)
-261                )
-262
-263                if rest and this:
-264                    this = exp.Dot.build(t.cast(t.List[exp.Expression], [this, *rest]))
-265
-266                table = exp.Table(this=this, db=db, catalog=catalog)
-267
-268            return table
+241        ID_VAR_TOKENS = {
+242            *parser.Parser.ID_VAR_TOKENS,
+243            TokenType.VALUES,
+244        }
+245
+246        PROPERTY_PARSERS = {
+247            **parser.Parser.PROPERTY_PARSERS,
+248            "NOT DETERMINISTIC": lambda self: self.expression(
+249                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
+250            ),
+251            "OPTIONS": lambda self: self._parse_with_property(),
+252        }
+253
+254        CONSTRAINT_PARSERS = {
+255            **parser.Parser.CONSTRAINT_PARSERS,
+256            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
+257        }
+258
+259        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
+260            this = super()._parse_table_part(schema=schema)
+261
+262            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
+263            if isinstance(this, exp.Identifier):
+264                table_name = this.name
+265                while self._match(TokenType.DASH, advance=False) and self._next:
+266                    self._advance(2)
+267                    table_name += f"-{self._prev.text}"
+268
+269                this = exp.Identifier(this=table_name, quoted=this.args.get("quoted"))
+270
+271            return this
+272
+273        def _parse_table_parts(self, schema: bool = False) -> exp.Table:
+274            table = super()._parse_table_parts(schema=schema)
+275            if isinstance(table.this, exp.Identifier) and "." in table.name:
+276                catalog, db, this, *rest = (
+277                    t.cast(t.Optional[exp.Expression], exp.to_identifier(x))
+278                    for x in split_num_words(table.name, ".", 3)
+279                )
+280
+281                if rest and this:
+282                    this = exp.Dot.build(t.cast(t.List[exp.Expression], [this, *rest]))
+283
+284                table = exp.Table(this=this, db=db, catalog=catalog)
+285
+286            return table
 
        
 
 
@@ -1041,129 +1120,129 @@ Default: 3
 
     
        
     
-            
        270    class Generator(generator.Generator):
-271        EXPLICIT_UNION = True
-272        INTERVAL_ALLOWS_PLURAL_FORM = False
-273        JOIN_HINTS = False
-274        TABLE_HINTS = False
-275        LIMIT_FETCH = "LIMIT"
-276        RENAME_TABLE_WITH_DB = False
-277
-278        TRANSFORMS = {
-279            **generator.Generator.TRANSFORMS,
-280            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
-281            exp.ArraySize: rename_func("ARRAY_LENGTH"),
-282            exp.AtTimeZone: lambda self, e: self.func(
-283                "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone"))
-284            ),
-285            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
-286            exp.DateAdd: _date_add_sql("DATE", "ADD"),
-287            exp.DateSub: _date_add_sql("DATE", "SUB"),
-288            exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
-289            exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
-290            exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
-291            exp.DateStrToDate: datestrtodate_sql,
-292            exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")),
-293            exp.GroupConcat: rename_func("STRING_AGG"),
-294            exp.ILike: no_ilike_sql,
-295            exp.IntDiv: rename_func("DIV"),
-296            exp.Max: max_or_greatest,
-297            exp.Min: min_or_least,
-298            exp.RegexpExtract: lambda self, e: self.func(
-299                "REGEXP_EXTRACT",
-300                e.this,
-301                e.expression,
-302                e.args.get("position"),
-303                e.args.get("occurrence"),
-304            ),
-305            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
-306            exp.Select: transforms.preprocess(
-307                [_unqualify_unnest, transforms.eliminate_distinct_on]
-308            ),
-309            exp.StrToDate: lambda self, e: f"PARSE_DATE({self.format_time(e)}, {self.sql(e, 'this')})",
-310            exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
-311            exp.TimeAdd: _date_add_sql("TIME", "ADD"),
-312            exp.TimeSub: _date_add_sql("TIME", "SUB"),
-313            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
-314            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
-315            exp.TimeStrToTime: timestrtotime_sql,
-316            exp.TryCast: lambda self, e: f"SAFE_CAST({self.sql(e, 'this')} AS {self.sql(e, 'to')})",
-317            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
-318            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
-319            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-320            exp.VariancePop: rename_func("VAR_POP"),
-321            exp.Values: _derived_table_values_to_unnest,
-322            exp.ReturnsProperty: _returnsproperty_sql,
-323            exp.Create: _create_sql,
-324            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
-325            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
-326            if e.name == "IMMUTABLE"
-327            else "NOT DETERMINISTIC",
-328        }
-329
-330        TYPE_MAPPING = {
-331            **generator.Generator.TYPE_MAPPING,
-332            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
-333            exp.DataType.Type.BIGINT: "INT64",
-334            exp.DataType.Type.BINARY: "BYTES",
-335            exp.DataType.Type.BOOLEAN: "BOOL",
-336            exp.DataType.Type.CHAR: "STRING",
-337            exp.DataType.Type.DECIMAL: "NUMERIC",
-338            exp.DataType.Type.DOUBLE: "FLOAT64",
-339            exp.DataType.Type.FLOAT: "FLOAT64",
-340            exp.DataType.Type.INT: "INT64",
-341            exp.DataType.Type.NCHAR: "STRING",
-342            exp.DataType.Type.NVARCHAR: "STRING",
-343            exp.DataType.Type.SMALLINT: "INT64",
-344            exp.DataType.Type.TEXT: "STRING",
-345            exp.DataType.Type.TIMESTAMP: "DATETIME",
-346            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-347            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
-348            exp.DataType.Type.TINYINT: "INT64",
-349            exp.DataType.Type.VARBINARY: "BYTES",
-350            exp.DataType.Type.VARCHAR: "STRING",
-351            exp.DataType.Type.VARIANT: "ANY TYPE",
-352        }
-353
-354        PROPERTIES_LOCATION = {
-355            **generator.Generator.PROPERTIES_LOCATION,
-356            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-357            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-358        }
-359
-360        RESERVED_KEYWORDS = {*generator.Generator.RESERVED_KEYWORDS, "hash"}
-361
-362        def array_sql(self, expression: exp.Array) -> str:
-363            first_arg = seq_get(expression.expressions, 0)
-364            if isinstance(first_arg, exp.Subqueryable):
-365                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-366
-367            return inline_array_sql(self, expression)
-368
-369        def transaction_sql(self, *_) -> str:
-370            return "BEGIN TRANSACTION"
+            
        288    class Generator(generator.Generator):
+289        EXPLICIT_UNION = True
+290        INTERVAL_ALLOWS_PLURAL_FORM = False
+291        JOIN_HINTS = False
+292        TABLE_HINTS = False
+293        LIMIT_FETCH = "LIMIT"
+294        RENAME_TABLE_WITH_DB = False
+295
+296        TRANSFORMS = {
+297            **generator.Generator.TRANSFORMS,
+298            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
+299            exp.ArraySize: rename_func("ARRAY_LENGTH"),
+300            exp.AtTimeZone: lambda self, e: self.func(
+301                "TIMESTAMP", self.func("DATETIME", e.this, e.args.get("zone"))
+302            ),
+303            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
+304            exp.DateAdd: _date_add_sql("DATE", "ADD"),
+305            exp.DateSub: _date_add_sql("DATE", "SUB"),
+306            exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
+307            exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
+308            exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
+309            exp.DateStrToDate: datestrtodate_sql,
+310            exp.DateTrunc: lambda self, e: self.func("DATE_TRUNC", e.this, e.text("unit")),
+311            exp.GroupConcat: rename_func("STRING_AGG"),
+312            exp.ILike: no_ilike_sql,
+313            exp.IntDiv: rename_func("DIV"),
+314            exp.Max: max_or_greatest,
+315            exp.Min: min_or_least,
+316            exp.RegexpExtract: lambda self, e: self.func(
+317                "REGEXP_EXTRACT",
+318                e.this,
+319                e.expression,
+320                e.args.get("position"),
+321                e.args.get("occurrence"),
+322            ),
+323            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
+324            exp.Select: transforms.preprocess(
+325                [_unqualify_unnest, transforms.eliminate_distinct_on]
+326            ),
+327            exp.StrToDate: lambda self, e: f"PARSE_DATE({self.format_time(e)}, {self.sql(e, 'this')})",
+328            exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
+329            exp.TimeAdd: _date_add_sql("TIME", "ADD"),
+330            exp.TimeSub: _date_add_sql("TIME", "SUB"),
+331            exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
+332            exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
+333            exp.TimeStrToTime: timestrtotime_sql,
+334            exp.TryCast: lambda self, e: f"SAFE_CAST({self.sql(e, 'this')} AS {self.sql(e, 'to')})",
+335            exp.TsOrDsToDate: ts_or_ds_to_date_sql("bigquery"),
+336            exp.TsOrDsAdd: _date_add_sql("DATE", "ADD"),
+337            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+338            exp.VariancePop: rename_func("VAR_POP"),
+339            exp.Values: _derived_table_values_to_unnest,
+340            exp.ReturnsProperty: _returnsproperty_sql,
+341            exp.Create: _create_sql,
+342            exp.Trim: lambda self, e: self.func(f"TRIM", e.this, e.expression),
+343            exp.StabilityProperty: lambda self, e: f"DETERMINISTIC"
+344            if e.name == "IMMUTABLE"
+345            else "NOT DETERMINISTIC",
+346        }
+347
+348        TYPE_MAPPING = {
+349            **generator.Generator.TYPE_MAPPING,
+350            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
+351            exp.DataType.Type.BIGINT: "INT64",
+352            exp.DataType.Type.BINARY: "BYTES",
+353            exp.DataType.Type.BOOLEAN: "BOOL",
+354            exp.DataType.Type.CHAR: "STRING",
+355            exp.DataType.Type.DECIMAL: "NUMERIC",
+356            exp.DataType.Type.DOUBLE: "FLOAT64",
+357            exp.DataType.Type.FLOAT: "FLOAT64",
+358            exp.DataType.Type.INT: "INT64",
+359            exp.DataType.Type.NCHAR: "STRING",
+360            exp.DataType.Type.NVARCHAR: "STRING",
+361            exp.DataType.Type.SMALLINT: "INT64",
+362            exp.DataType.Type.TEXT: "STRING",
+363            exp.DataType.Type.TIMESTAMP: "DATETIME",
+364            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+365            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
+366            exp.DataType.Type.TINYINT: "INT64",
+367            exp.DataType.Type.VARBINARY: "BYTES",
+368            exp.DataType.Type.VARCHAR: "STRING",
+369            exp.DataType.Type.VARIANT: "ANY TYPE",
+370        }
 371
-372        def commit_sql(self, *_) -> str:
-373            return "COMMIT TRANSACTION"
-374
-375        def rollback_sql(self, *_) -> str:
-376            return "ROLLBACK TRANSACTION"
+372        PROPERTIES_LOCATION = {
+373            **generator.Generator.PROPERTIES_LOCATION,
+374            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+375            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+376        }
 377
-378        def in_unnest_op(self, expression: exp.Unnest) -> str:
-379            return self.sql(expression)
-380
-381        def except_op(self, expression: exp.Except) -> str:
-382            if not expression.args.get("distinct", False):
-383                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-384            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-385
-386        def intersect_op(self, expression: exp.Intersect) -> str:
-387            if not expression.args.get("distinct", False):
-388                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-389            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
-390
-391        def with_properties(self, properties: exp.Properties) -> str:
-392            return self.properties(properties, prefix=self.seg("OPTIONS"))
+378        RESERVED_KEYWORDS = {*generator.Generator.RESERVED_KEYWORDS, "hash"}
+379
+380        def array_sql(self, expression: exp.Array) -> str:
+381            first_arg = seq_get(expression.expressions, 0)
+382            if isinstance(first_arg, exp.Subqueryable):
+383                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+384
+385            return inline_array_sql(self, expression)
+386
+387        def transaction_sql(self, *_) -> str:
+388            return "BEGIN TRANSACTION"
+389
+390        def commit_sql(self, *_) -> str:
+391            return "COMMIT TRANSACTION"
+392
+393        def rollback_sql(self, *_) -> str:
+394            return "ROLLBACK TRANSACTION"
+395
+396        def in_unnest_op(self, expression: exp.Unnest) -> str:
+397            return self.sql(expression)
+398
+399        def except_op(self, expression: exp.Except) -> str:
+400            if not expression.args.get("distinct", False):
+401                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+402            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+403
+404        def intersect_op(self, expression: exp.Intersect) -> str:
+405            if not expression.args.get("distinct", False):
+406                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+407            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+408
+409        def with_properties(self, properties: exp.Properties) -> str:
+410            return self.properties(properties, prefix=self.seg("OPTIONS"))
 
        
 
 
@@ -1217,12 +1296,12 @@ Default: True
 
     
        
     
-            
        362        def array_sql(self, expression: exp.Array) -> str:
-363            first_arg = seq_get(expression.expressions, 0)
-364            if isinstance(first_arg, exp.Subqueryable):
-365                return f"ARRAY{self.wrap(self.sql(first_arg))}"
-366
-367            return inline_array_sql(self, expression)
+            
        380        def array_sql(self, expression: exp.Array) -> str:
+381            first_arg = seq_get(expression.expressions, 0)
+382            if isinstance(first_arg, exp.Subqueryable):
+383                return f"ARRAY{self.wrap(self.sql(first_arg))}"
+384
+385            return inline_array_sql(self, expression)
 
        
 
 
@@ -1240,8 +1319,8 @@ Default: True
 
     
        
     
-            
        369        def transaction_sql(self, *_) -> str:
-370            return "BEGIN TRANSACTION"
+            
        387        def transaction_sql(self, *_) -> str:
+388            return "BEGIN TRANSACTION"
 
        
 
 
@@ -1259,8 +1338,8 @@ Default: True
 
     
        
     
-            
        372        def commit_sql(self, *_) -> str:
-373            return "COMMIT TRANSACTION"
+            
        390        def commit_sql(self, *_) -> str:
+391            return "COMMIT TRANSACTION"
 
        
 
 
@@ -1278,8 +1357,8 @@ Default: True
 
     
        
     
-            
        375        def rollback_sql(self, *_) -> str:
-376            return "ROLLBACK TRANSACTION"
+            
        393        def rollback_sql(self, *_) -> str:
+394            return "ROLLBACK TRANSACTION"
 
        
 
 
@@ -1297,8 +1376,8 @@ Default: True
 
     
        
     
-            
        378        def in_unnest_op(self, expression: exp.Unnest) -> str:
-379            return self.sql(expression)
+            
        396        def in_unnest_op(self, expression: exp.Unnest) -> str:
+397            return self.sql(expression)
 
        
 
 
@@ -1316,10 +1395,10 @@ Default: True
 
     
        
     
-            
        381        def except_op(self, expression: exp.Except) -> str:
-382            if not expression.args.get("distinct", False):
-383                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
-384            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+            
        399        def except_op(self, expression: exp.Except) -> str:
+400            if not expression.args.get("distinct", False):
+401                self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
+402            return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
 
        
 
 
@@ -1337,10 +1416,10 @@ Default: True
 
     
        
     
-            
        386        def intersect_op(self, expression: exp.Intersect) -> str:
-387            if not expression.args.get("distinct", False):
-388                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
-389            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
+            
        404        def intersect_op(self, expression: exp.Intersect) -> str:
+405            if not expression.args.get("distinct", False):
+406                self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
+407            return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
 
        
 
 
@@ -1358,13 +1437,67 @@ Default: True
 
     
        
     
-            
        391        def with_properties(self, properties: exp.Properties) -> str:
-392            return self.properties(properties, prefix=self.seg("OPTIONS"))
+            
        409        def with_properties(self, properties: exp.Properties) -> str:
+410            return self.properties(properties, prefix=self.seg("OPTIONS"))
 
        
 
 
     
 
+                            
        
+                            
        
+                                        
+
        
+                    
        @classmethod
        
+
+        def
+        can_identify(text: str, identify: str | bool = 'safe') -> bool:
+
+                
+
+    
        
+    
+            
        247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
        
+
+
+            
        Checks if text can be identified given an identify option.
        
+
+
        Arguments:
        
+
+
          
+
        • text:  The text to check.
          • 
+
        • identify:  "always" or True: Always returns true.
+"safe": True if the identifier is case-insensitive.
          • 
+
        
+
+
        Returns:
        
+
+
        
+  
        Whether or not the given text can be identified.
        
+
        
+
        
+
+
                             
        
                             
        
                                 
        Inherited Members
        
@@ -1465,6 +1598,7 @@ Default: True
                 
        pragma_sql
        
                 
        lock_sql
        
                 
        literal_sql
        
+                
        escape_str
        
                 
        loaddata_sql
        
                 
        null_sql
        
                 
        boolean_sql
        
diff --git a/docs/sqlglot/dialects/clickhouse.html b/docs/sqlglot/dialects/clickhouse.html
index e0d93dd..eee0b0d 100644
--- a/docs/sqlglot/dialects/clickhouse.html
+++ b/docs/sqlglot/dialects/clickhouse.html
@@ -69,6 +69,9 @@
                                     
      • 
                                             createable_sql
                                     
        • 
+                                    
      • 
+                                            can_identify
+                                    
        •
      • @@ -445,7 +448,7 @@ 345 "CONCAT", 346 *[ 347 exp.func("if", e.is_(exp.null()), e, exp.cast(e, "text")) -348 for e in expression.expressions +348 for e in t.cast(t.List[exp.Condition], expression.expressions) 349 ], 350 ) 351 @@ -829,7 +832,7 @@ 346 "CONCAT", 347 *[ 348 exp.func("if", e.is_(exp.null()), e, exp.cast(e, "text")) -349 for e in expression.expressions +349 for e in t.cast(t.List[exp.Condition], expression.expressions) 350 ], 351 ) 352 @@ -884,6 +887,10 @@
      sqlglot.dialects.dialect.Dialect
      get_or_raise
      format_time
      +
      normalize_identifier
      +
      case_sensitive
      +
      can_identify
      +
      quote_identifier
      parse
      parse_into
      generate
      @@ -1301,7 +1308,7 @@ Default: 3 346 "CONCAT", 347 *[ 348 exp.func("if", e.is_(exp.null()), e, exp.cast(e, "text")) -349 for e in expression.expressions +349 for e in t.cast(t.List[exp.Condition], expression.expressions) 350 ], 351 ) 352 @@ -1404,7 +1411,7 @@ Default: True 346 "CONCAT", 347 *[ 348 exp.func("if", e.is_(exp.null()), e, exp.cast(e, "text")) -349 for e in expression.expressions +349 for e in t.cast(t.List[exp.Condition], expression.expressions) 350 ], 351 )
      @@ -1549,6 +1556,60 @@ Default: True + +
      + +
      +
      @classmethod
      + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
      + + 
      247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
      + + +

      Checks if text can be identified given an identify option.

      + +
      Arguments:
      + +
        +
      • text: The text to check.
        • +
      • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
        • +
      + +
      Returns:
      + +
      +

      Whether or not the given text can be identified.

      +
      +
      + +
      Inherited Members
      @@ -1650,6 +1711,7 @@ Default: True
      pragma_sql
      lock_sql
      literal_sql
      +
      escape_str
      loaddata_sql
      null_sql
      boolean_sql
      diff --git a/docs/sqlglot/dialects/databricks.html b/docs/sqlglot/dialects/databricks.html index 3cd45cf..3e8906e 100644 --- a/docs/sqlglot/dialects/databricks.html +++ b/docs/sqlglot/dialects/databricks.html @@ -42,6 +42,9 @@
    • Databricks.Generator
      • @@ -192,6 +195,10 @@ +
      + +
      +
      @classmethod
      + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
      + + 
      247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
      + + +

      Checks if text can be identified given an identify option.

      + +
      Arguments:
      + +
        +
      • text: The text to check.
        • +
      • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
        • +
      + +
      Returns:
      + +
      +

      Whether or not the given text can be identified.

      +
      +
      + + +
      Inherited Members
      @@ -434,6 +495,7 @@ Default: True
      pragma_sql
      lock_sql
      literal_sql
      +
      escape_str
      loaddata_sql
      null_sql
      boolean_sql
      diff --git a/docs/sqlglot/dialects/dialect.html b/docs/sqlglot/dialects/dialect.html index e8e002d..74a0d0a 100644 --- a/docs/sqlglot/dialects/dialect.html +++ b/docs/sqlglot/dialects/dialect.html @@ -108,6 +108,18 @@
    • format_time
      • +
    • + normalize_identifier +
      • +
    • + case_sensitive +
      • +
    • + can_identify +
      • +
    • + quote_identifier +
    • parse
      • @@ -275,577 +287,639 @@ 4from enum import Enum 5 6from sqlglot import exp - 7from sqlglot.generator import Generator - 8from sqlglot.helper import flatten, seq_get - 9from sqlglot.parser import Parser - 10from sqlglot.time import format_time - 11from sqlglot.tokens import Token, Tokenizer, TokenType - 12from sqlglot.trie import new_trie - 13 - 14if t.TYPE_CHECKING: - 15 from sqlglot._typing import E - 16 - 17 - 18# Only Snowflake is currently known to resolve unquoted identifiers as uppercase. - 19# https://docs.snowflake.com/en/sql-reference/identifiers-syntax - 20RESOLVES_IDENTIFIERS_AS_UPPERCASE = {"snowflake"} - 21 - 22 - 23class Dialects(str, Enum): - 24 DIALECT = "" - 25 - 26 BIGQUERY = "bigquery" - 27 CLICKHOUSE = "clickhouse" - 28 DATABRICKS = "databricks" - 29 DRILL = "drill" - 30 DUCKDB = "duckdb" - 31 HIVE = "hive" - 32 MYSQL = "mysql" - 33 ORACLE = "oracle" - 34 POSTGRES = "postgres" - 35 PRESTO = "presto" - 36 REDSHIFT = "redshift" - 37 SNOWFLAKE = "snowflake" - 38 SPARK = "spark" - 39 SPARK2 = "spark2" - 40 SQLITE = "sqlite" - 41 STARROCKS = "starrocks" - 42 TABLEAU = "tableau" - 43 TERADATA = "teradata" - 44 TRINO = "trino" - 45 TSQL = "tsql" - 46 - 47 - 48class _Dialect(type): - 49 classes: t.Dict[str, t.Type[Dialect]] = {} - 50 - 51 def __eq__(cls, other: t.Any) -> bool: - 52 if cls is other: - 53 return True - 54 if isinstance(other, str): - 55 return cls is cls.get(other) - 56 if isinstance(other, Dialect): - 57 return cls is type(other) - 58 - 59 return False + 7from sqlglot._typing import E + 8from sqlglot.generator import Generator + 9from sqlglot.helper import flatten, seq_get + 10from sqlglot.parser import Parser + 11from sqlglot.time import format_time + 12from sqlglot.tokens import Token, Tokenizer, TokenType + 13from sqlglot.trie import new_trie + 14 + 15 + 16class Dialects(str, Enum): + 17 DIALECT = "" + 18 + 19 BIGQUERY = "bigquery" + 20 CLICKHOUSE = "clickhouse" + 21 DATABRICKS = "databricks" + 22 DRILL = "drill" + 23 DUCKDB = "duckdb" + 24 HIVE = "hive" + 25 MYSQL = "mysql" + 26 ORACLE = "oracle" + 27 POSTGRES = "postgres" + 28 PRESTO = "presto" + 29 REDSHIFT = "redshift" + 30 SNOWFLAKE = "snowflake" + 31 SPARK = "spark" + 32 SPARK2 = "spark2" + 33 SQLITE = "sqlite" + 34 STARROCKS = "starrocks" + 35 TABLEAU = "tableau" + 36 TERADATA = "teradata" + 37 TRINO = "trino" + 38 TSQL = "tsql" + 39 + 40 + 41class _Dialect(type): + 42 classes: t.Dict[str, t.Type[Dialect]] = {} + 43 + 44 def __eq__(cls, other: t.Any) -> bool: + 45 if cls is other: + 46 return True + 47 if isinstance(other, str): + 48 return cls is cls.get(other) + 49 if isinstance(other, Dialect): + 50 return cls is type(other) + 51 + 52 return False + 53 + 54 def __hash__(cls) -> int: + 55 return hash(cls.__name__.lower()) + 56 + 57 @classmethod + 58 def __getitem__(cls, key: str) -> t.Type[Dialect]: + 59 return cls.classes[key] 60 - 61 def __hash__(cls) -> int: - 62 return hash(cls.__name__.lower()) - 63 - 64 @classmethod - 65 def __getitem__(cls, key: str) -> t.Type[Dialect]: - 66 return cls.classes[key] - 67 - 68 @classmethod - 69 def get( - 70 cls, key: str, default: t.Optional[t.Type[Dialect]] = None - 71 ) -> t.Optional[t.Type[Dialect]]: - 72 return cls.classes.get(key, default) - 73 - 74 def __new__(cls, clsname, bases, attrs): - 75 klass = super().__new__(cls, clsname, bases, attrs) - 76 enum = Dialects.__members__.get(clsname.upper()) - 77 cls.classes[enum.value if enum is not None else clsname.lower()] = klass + 61 @classmethod + 62 def get( + 63 cls, key: str, default: t.Optional[t.Type[Dialect]] = None + 64 ) -> t.Optional[t.Type[Dialect]]: + 65 return cls.classes.get(key, default) + 66 + 67 def __new__(cls, clsname, bases, attrs): + 68 klass = super().__new__(cls, clsname, bases, attrs) + 69 enum = Dialects.__members__.get(clsname.upper()) + 70 cls.classes[enum.value if enum is not None else clsname.lower()] = klass + 71 + 72 klass.TIME_TRIE = new_trie(klass.TIME_MAPPING) + 73 klass.FORMAT_TRIE = ( + 74 new_trie(klass.FORMAT_MAPPING) if klass.FORMAT_MAPPING else klass.TIME_TRIE + 75 ) + 76 klass.INVERSE_TIME_MAPPING = {v: k for k, v in klass.TIME_MAPPING.items()} + 77 klass.INVERSE_TIME_TRIE = new_trie(klass.INVERSE_TIME_MAPPING) 78 - 79 klass.TIME_TRIE = new_trie(klass.TIME_MAPPING) - 80 klass.FORMAT_TRIE = ( - 81 new_trie(klass.FORMAT_MAPPING) if klass.FORMAT_MAPPING else klass.TIME_TRIE - 82 ) - 83 klass.INVERSE_TIME_MAPPING = {v: k for k, v in klass.TIME_MAPPING.items()} - 84 klass.INVERSE_TIME_TRIE = new_trie(klass.INVERSE_TIME_MAPPING) - 85 - 86 klass.tokenizer_class = getattr(klass, "Tokenizer", Tokenizer) - 87 klass.parser_class = getattr(klass, "Parser", Parser) - 88 klass.generator_class = getattr(klass, "Generator", Generator) - 89 - 90 klass.QUOTE_START, klass.QUOTE_END = list(klass.tokenizer_class._QUOTES.items())[0] - 91 klass.IDENTIFIER_START, klass.IDENTIFIER_END = list( - 92 klass.tokenizer_class._IDENTIFIERS.items() - 93 )[0] - 94 - 95 def get_start_end(token_type: TokenType) -> t.Tuple[t.Optional[str], t.Optional[str]]: - 96 return next( - 97 ( - 98 (s, e) - 99 for s, (e, t) in klass.tokenizer_class._FORMAT_STRINGS.items() -100 if t == token_type -101 ), -102 (None, None), -103 ) -104 -105 klass.BIT_START, klass.BIT_END = get_start_end(TokenType.BIT_STRING) -106 klass.HEX_START, klass.HEX_END = get_start_end(TokenType.HEX_STRING) -107 klass.BYTE_START, klass.BYTE_END = get_start_end(TokenType.BYTE_STRING) -108 klass.RAW_START, klass.RAW_END = get_start_end(TokenType.RAW_STRING) -109 -110 dialect_properties = { -111 **{ -112 k: v -113 for k, v in vars(klass).items() -114 if not callable(v) and not isinstance(v, classmethod) and not k.startswith("__") -115 }, -116 "STRING_ESCAPE": klass.tokenizer_class.STRING_ESCAPES[0], -117 "IDENTIFIER_ESCAPE": klass.tokenizer_class.IDENTIFIER_ESCAPES[0], -118 } -119 -120 # Pass required dialect properties to the tokenizer, parser and generator classes -121 for subclass in (klass.tokenizer_class, klass.parser_class, klass.generator_class): -122 for name, value in dialect_properties.items(): -123 if hasattr(subclass, name): -124 setattr(subclass, name, value) -125 -126 if not klass.STRICT_STRING_CONCAT: -127 klass.parser_class.BITWISE[TokenType.DPIPE] = exp.SafeDPipe + 79 klass.tokenizer_class = getattr(klass, "Tokenizer", Tokenizer) + 80 klass.parser_class = getattr(klass, "Parser", Parser) + 81 klass.generator_class = getattr(klass, "Generator", Generator) + 82 + 83 klass.QUOTE_START, klass.QUOTE_END = list(klass.tokenizer_class._QUOTES.items())[0] + 84 klass.IDENTIFIER_START, klass.IDENTIFIER_END = list( + 85 klass.tokenizer_class._IDENTIFIERS.items() + 86 )[0] + 87 + 88 def get_start_end(token_type: TokenType) -> t.Tuple[t.Optional[str], t.Optional[str]]: + 89 return next( + 90 ( + 91 (s, e) + 92 for s, (e, t) in klass.tokenizer_class._FORMAT_STRINGS.items() + 93 if t == token_type + 94 ), + 95 (None, None), + 96 ) + 97 + 98 klass.BIT_START, klass.BIT_END = get_start_end(TokenType.BIT_STRING) + 99 klass.HEX_START, klass.HEX_END = get_start_end(TokenType.HEX_STRING) +100 klass.BYTE_START, klass.BYTE_END = get_start_end(TokenType.BYTE_STRING) +101 klass.RAW_START, klass.RAW_END = get_start_end(TokenType.RAW_STRING) +102 +103 dialect_properties = { +104 **{ +105 k: v +106 for k, v in vars(klass).items() +107 if not callable(v) and not isinstance(v, classmethod) and not k.startswith("__") +108 }, +109 "STRING_ESCAPE": klass.tokenizer_class.STRING_ESCAPES[0], +110 "IDENTIFIER_ESCAPE": klass.tokenizer_class.IDENTIFIER_ESCAPES[0], +111 } +112 +113 if enum not in ("", "bigquery"): +114 dialect_properties["SELECT_KINDS"] = () +115 +116 # Pass required dialect properties to the tokenizer, parser and generator classes +117 for subclass in (klass.tokenizer_class, klass.parser_class, klass.generator_class): +118 for name, value in dialect_properties.items(): +119 if hasattr(subclass, name): +120 setattr(subclass, name, value) +121 +122 if not klass.STRICT_STRING_CONCAT: +123 klass.parser_class.BITWISE[TokenType.DPIPE] = exp.SafeDPipe +124 +125 klass.generator_class.can_identify = klass.can_identify +126 +127 return klass 128 -129 return klass -130 -131 -132class Dialect(metaclass=_Dialect): -133 # Determines the base index offset for arrays -134 INDEX_OFFSET = 0 -135 -136 # If true unnest table aliases are considered only as column aliases -137 UNNEST_COLUMN_ONLY = False -138 -139 # Determines whether or not the table alias comes after tablesample -140 ALIAS_POST_TABLESAMPLE = False -141 -142 # Determines whether or not an unquoted identifier can start with a digit -143 IDENTIFIERS_CAN_START_WITH_DIGIT = False -144 -145 # Determines whether or not CONCAT's arguments must be strings -146 STRICT_STRING_CONCAT = False -147 -148 # Determines how function names are going to be normalized -149 NORMALIZE_FUNCTIONS: bool | str = "upper" -150 -151 # Indicates the default null ordering method to use if not explicitly set -152 # Options are: "nulls_are_small", "nulls_are_large", "nulls_are_last" -153 NULL_ORDERING = "nulls_are_small" -154 -155 DATE_FORMAT = "'%Y-%m-%d'" -156 DATEINT_FORMAT = "'%Y%m%d'" -157 TIME_FORMAT = "'%Y-%m-%d %H:%M:%S'" -158 -159 # Custom time mappings in which the key represents dialect time format -160 # and the value represents a python time format -161 TIME_MAPPING: t.Dict[str, str] = {} -162 -163 # https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_model_rules_date_time -164 # https://docs.teradata.com/r/Teradata-Database-SQL-Functions-Operators-Expressions-and-Predicates/March-2017/Data-Type-Conversions/Character-to-DATE-Conversion/Forcing-a-FORMAT-on-CAST-for-Converting-Character-to-DATE -165 # special syntax cast(x as date format 'yyyy') defaults to time_mapping -166 FORMAT_MAPPING: t.Dict[str, str] = {} -167 -168 # Autofilled -169 tokenizer_class = Tokenizer -170 parser_class = Parser -171 generator_class = Generator -172 -173 # A trie of the time_mapping keys -174 TIME_TRIE: t.Dict = {} -175 FORMAT_TRIE: t.Dict = {} -176 -177 INVERSE_TIME_MAPPING: t.Dict[str, str] = {} -178 INVERSE_TIME_TRIE: t.Dict = {} -179 -180 def __eq__(self, other: t.Any) -> bool: -181 return type(self) == other -182 -183 def __hash__(self) -> int: -184 return hash(type(self)) -185 -186 @classmethod -187 def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]: -188 if not dialect: -189 return cls -190 if isinstance(dialect, _Dialect): -191 return dialect -192 if isinstance(dialect, Dialect): -193 return dialect.__class__ -194 -195 result = cls.get(dialect) -196 if not result: -197 raise ValueError(f"Unknown dialect '{dialect}'") -198 -199 return result +129 +130class Dialect(metaclass=_Dialect): +131 # Determines the base index offset for arrays +132 INDEX_OFFSET = 0 +133 +134 # If true unnest table aliases are considered only as column aliases +135 UNNEST_COLUMN_ONLY = False +136 +137 # Determines whether or not the table alias comes after tablesample +138 ALIAS_POST_TABLESAMPLE = False +139 +140 # Determines whether or not unquoted identifiers are resolved as uppercase +141 # When set to None, it means that the dialect treats all identifiers as case-insensitive +142 RESOLVES_IDENTIFIERS_AS_UPPERCASE: t.Optional[bool] = False +143 +144 # Determines whether or not an unquoted identifier can start with a digit +145 IDENTIFIERS_CAN_START_WITH_DIGIT = False +146 +147 # Determines whether or not CONCAT's arguments must be strings +148 STRICT_STRING_CONCAT = False +149 +150 # Determines how function names are going to be normalized +151 NORMALIZE_FUNCTIONS: bool | str = "upper" +152 +153 # Indicates the default null ordering method to use if not explicitly set +154 # Options are: "nulls_are_small", "nulls_are_large", "nulls_are_last" +155 NULL_ORDERING = "nulls_are_small" +156 +157 DATE_FORMAT = "'%Y-%m-%d'" +158 DATEINT_FORMAT = "'%Y%m%d'" +159 TIME_FORMAT = "'%Y-%m-%d %H:%M:%S'" +160 +161 # Custom time mappings in which the key represents dialect time format +162 # and the value represents a python time format +163 TIME_MAPPING: t.Dict[str, str] = {} +164 +165 # https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_model_rules_date_time +166 # https://docs.teradata.com/r/Teradata-Database-SQL-Functions-Operators-Expressions-and-Predicates/March-2017/Data-Type-Conversions/Character-to-DATE-Conversion/Forcing-a-FORMAT-on-CAST-for-Converting-Character-to-DATE +167 # special syntax cast(x as date format 'yyyy') defaults to time_mapping +168 FORMAT_MAPPING: t.Dict[str, str] = {} +169 +170 # Autofilled +171 tokenizer_class = Tokenizer +172 parser_class = Parser +173 generator_class = Generator +174 +175 # A trie of the time_mapping keys +176 TIME_TRIE: t.Dict = {} +177 FORMAT_TRIE: t.Dict = {} +178 +179 INVERSE_TIME_MAPPING: t.Dict[str, str] = {} +180 INVERSE_TIME_TRIE: t.Dict = {} +181 +182 def __eq__(self, other: t.Any) -> bool: +183 return type(self) == other +184 +185 def __hash__(self) -> int: +186 return hash(type(self)) +187 +188 @classmethod +189 def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]: +190 if not dialect: +191 return cls +192 if isinstance(dialect, _Dialect): +193 return dialect +194 if isinstance(dialect, Dialect): +195 return dialect.__class__ +196 +197 result = cls.get(dialect) +198 if not result: +199 raise ValueError(f"Unknown dialect '{dialect}'") 200 -201 @classmethod -202 def format_time( -203 cls, expression: t.Optional[str | exp.Expression] -204 ) -> t.Optional[exp.Expression]: -205 if isinstance(expression, str): -206 return exp.Literal.string( -207 # the time formats are quoted -208 format_time(expression[1:-1], cls.TIME_MAPPING, cls.TIME_TRIE) -209 ) -210 -211 if expression and expression.is_string: -212 return exp.Literal.string(format_time(expression.this, cls.TIME_MAPPING, cls.TIME_TRIE)) -213 -214 return expression +201 return result +202 +203 @classmethod +204 def format_time( +205 cls, expression: t.Optional[str | exp.Expression] +206 ) -> t.Optional[exp.Expression]: +207 if isinstance(expression, str): +208 return exp.Literal.string( +209 # the time formats are quoted +210 format_time(expression[1:-1], cls.TIME_MAPPING, cls.TIME_TRIE) +211 ) +212 +213 if expression and expression.is_string: +214 return exp.Literal.string(format_time(expression.this, cls.TIME_MAPPING, cls.TIME_TRIE)) 215 -216 def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]: -217 return self.parser(**opts).parse(self.tokenize(sql), sql) -218 -219 def parse_into( -220 self, expression_type: exp.IntoType, sql: str, **opts -221 ) -> t.List[t.Optional[exp.Expression]]: -222 return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql) -223 -224 def generate(self, expression: t.Optional[exp.Expression], **opts) -> str: -225 return self.generator(**opts).generate(expression) -226 -227 def transpile(self, sql: str, **opts) -> t.List[str]: -228 return [self.generate(expression, **opts) for expression in self.parse(sql)] -229 -230 def tokenize(self, sql: str) -> t.List[Token]: -231 return self.tokenizer.tokenize(sql) -232 -233 @property -234 def tokenizer(self) -> Tokenizer: -235 if not hasattr(self, "_tokenizer"): -236 self._tokenizer = self.tokenizer_class() -237 return self._tokenizer -238 -239 def parser(self, **opts) -> Parser: -240 return self.parser_class(**opts) -241 -242 def generator(self, **opts) -> Generator: -243 return self.generator_class(**opts) -244 +216 return expression +217 +218 @classmethod +219 def normalize_identifier(cls, expression: E) -> E: +220 """ +221 Normalizes an unquoted identifier to either lower or upper case, thus essentially +222 making it case-insensitive. If a dialect treats all identifiers as case-insensitive, +223 they will be normalized regardless of being quoted or not. +224 """ +225 if isinstance(expression, exp.Identifier) and ( +226 not expression.quoted or cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE is None +227 ): +228 expression.set( +229 "this", +230 expression.this.upper() +231 if cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE +232 else expression.this.lower(), +233 ) +234 +235 return expression +236 +237 @classmethod +238 def case_sensitive(cls, text: str) -> bool: +239 """Checks if text contains any case sensitive characters, based on the dialect's rules.""" +240 if cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE is None: +241 return False +242 +243 unsafe = str.islower if cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE else str.isupper +244 return any(unsafe(char) for char in text) 245 -246DialectType = t.Union[str, Dialect, t.Type[Dialect], None] -247 -248 -249def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]: -250 return lambda self, expression: self.func(name, *flatten(expression.args.values())) -251 -252 -253def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str: -254 if expression.args.get("accuracy"): -255 self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy") -256 return self.func("APPROX_COUNT_DISTINCT", expression.this) -257 -258 -259def if_sql(self: Generator, expression: exp.If) -> str: -260 return self.func( -261 "IF", expression.this, expression.args.get("true"), expression.args.get("false") -262 ) -263 +246 @classmethod +247 def can_identify(cls, text: str, identify: str | bool = "safe") -> bool: +248 """Checks if text can be identified given an identify option. +249 +250 Args: +251 text: The text to check. +252 identify: +253 "always" or `True`: Always returns true. +254 "safe": True if the identifier is case-insensitive. +255 +256 Returns: +257 Whether or not the given text can be identified. +258 """ +259 if identify is True or identify == "always": +260 return True +261 +262 if identify == "safe": +263 return not cls.case_sensitive(text) 264 -265def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str: -266 return self.binary(expression, "->") -267 -268 -269def arrow_json_extract_scalar_sql( -270 self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar -271) -> str: -272 return self.binary(expression, "->>") -273 -274 -275def inline_array_sql(self: Generator, expression: exp.Array) -> str: -276 return f"[{self.expressions(expression)}]" +265 return False +266 +267 @classmethod +268 def quote_identifier(cls, expression: E, identify: bool = True) -> E: +269 if isinstance(expression, exp.Identifier): +270 name = expression.this +271 expression.set( +272 "quoted", +273 identify or cls.case_sensitive(name) or not exp.SAFE_IDENTIFIER_RE.match(name), +274 ) +275 +276 return expression 277 -278 -279def no_ilike_sql(self: Generator, expression: exp.ILike) -> str: -280 return self.like_sql( -281 exp.Like(this=exp.Lower(this=expression.this), expression=expression.expression) -282 ) -283 -284 -285def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str: -286 zone = self.sql(expression, "this") -287 return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE" +278 def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]: +279 return self.parser(**opts).parse(self.tokenize(sql), sql) +280 +281 def parse_into( +282 self, expression_type: exp.IntoType, sql: str, **opts +283 ) -> t.List[t.Optional[exp.Expression]]: +284 return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql) +285 +286 def generate(self, expression: t.Optional[exp.Expression], **opts) -> str: +287 return self.generator(**opts).generate(expression) 288 -289 -290def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str: -291 if expression.args.get("recursive"): -292 self.unsupported("Recursive CTEs are unsupported") -293 expression.args["recursive"] = False -294 return self.with_sql(expression) -295 -296 -297def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str: -298 n = self.sql(expression, "this") -299 d = self.sql(expression, "expression") -300 return f"IF({d} <> 0, {n} / {d}, NULL)" -301 -302 -303def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str: -304 self.unsupported("TABLESAMPLE unsupported") -305 return self.sql(expression.this) +289 def transpile(self, sql: str, **opts) -> t.List[str]: +290 return [self.generate(expression, **opts) for expression in self.parse(sql)] +291 +292 def tokenize(self, sql: str) -> t.List[Token]: +293 return self.tokenizer.tokenize(sql) +294 +295 @property +296 def tokenizer(self) -> Tokenizer: +297 if not hasattr(self, "_tokenizer"): +298 self._tokenizer = self.tokenizer_class() +299 return self._tokenizer +300 +301 def parser(self, **opts) -> Parser: +302 return self.parser_class(**opts) +303 +304 def generator(self, **opts) -> Generator: +305 return self.generator_class(**opts) 306 307 -308def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str: -309 self.unsupported("PIVOT unsupported") -310 return "" -311 -312 -313def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str: -314 return self.cast_sql(expression) -315 -316 -317def no_properties_sql(self: Generator, expression: exp.Properties) -> str: -318 self.unsupported("Properties unsupported") -319 return "" +308DialectType = t.Union[str, Dialect, t.Type[Dialect], None] +309 +310 +311def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]: +312 return lambda self, expression: self.func(name, *flatten(expression.args.values())) +313 +314 +315def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str: +316 if expression.args.get("accuracy"): +317 self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy") +318 return self.func("APPROX_COUNT_DISTINCT", expression.this) +319 320 -321 -322def no_comment_column_constraint_sql( -323 self: Generator, expression: exp.CommentColumnConstraint -324) -> str: -325 self.unsupported("CommentColumnConstraint unsupported") -326 return "" -327 -328 -329def str_position_sql(self: Generator, expression: exp.StrPosition) -> str: -330 this = self.sql(expression, "this") -331 substr = self.sql(expression, "substr") -332 position = self.sql(expression, "position") -333 if position: -334 return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1" -335 return f"STRPOS({this}, {substr})" +321def if_sql(self: Generator, expression: exp.If) -> str: +322 return self.func( +323 "IF", expression.this, expression.args.get("true"), expression.args.get("false") +324 ) +325 +326 +327def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str: +328 return self.binary(expression, "->") +329 +330 +331def arrow_json_extract_scalar_sql( +332 self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar +333) -> str: +334 return self.binary(expression, "->>") +335 336 -337 -338def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str: -339 this = self.sql(expression, "this") -340 struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True)) -341 return f"{this}.{struct_key}" -342 -343 -344def var_map_sql( -345 self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP" -346) -> str: -347 keys = expression.args["keys"] -348 values = expression.args["values"] -349 -350 if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array): -351 self.unsupported("Cannot convert array columns into map.") -352 return self.func(map_func_name, keys, values) -353 -354 args = [] -355 for key, value in zip(keys.expressions, values.expressions): -356 args.append(self.sql(key)) -357 args.append(self.sql(value)) +337def inline_array_sql(self: Generator, expression: exp.Array) -> str: +338 return f"[{self.expressions(expression)}]" +339 +340 +341def no_ilike_sql(self: Generator, expression: exp.ILike) -> str: +342 return self.like_sql( +343 exp.Like(this=exp.Lower(this=expression.this), expression=expression.expression) +344 ) +345 +346 +347def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str: +348 zone = self.sql(expression, "this") +349 return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE" +350 +351 +352def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str: +353 if expression.args.get("recursive"): +354 self.unsupported("Recursive CTEs are unsupported") +355 expression.args["recursive"] = False +356 return self.with_sql(expression) +357 358 -359 return self.func(map_func_name, *args) -360 -361 -362def format_time_lambda( -363 exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None -364) -> t.Callable[[t.List], E]: -365 """Helper used for time expressions. -366 -367 Args: -368 exp_class: the expression class to instantiate. -369 dialect: target sql dialect. -370 default: the default format, True being time. -371 -372 Returns: -373 A callable that can be used to return the appropriately formatted time expression. -374 """ -375 -376 def _format_time(args: t.List): -377 return exp_class( -378 this=seq_get(args, 0), -379 format=Dialect[dialect].format_time( -380 seq_get(args, 1) -381 or (Dialect[dialect].TIME_FORMAT if default is True else default or None) -382 ), -383 ) -384 -385 return _format_time -386 -387 -388def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str: -389 """ -390 In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the -391 PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding -392 columns are removed from the create statement. -393 """ -394 has_schema = isinstance(expression.this, exp.Schema) -395 is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW") -396 -397 if has_schema and is_partitionable: -398 expression = expression.copy() -399 prop = expression.find(exp.PartitionedByProperty) -400 if prop and prop.this and not isinstance(prop.this, exp.Schema): -401 schema = expression.this -402 columns = {v.name.upper() for v in prop.this.expressions} -403 partitions = [col for col in schema.expressions if col.name.upper() in columns] -404 schema.set("expressions", [e for e in schema.expressions if e not in partitions]) -405 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions))) -406 expression.set("this", schema) -407 -408 return self.create_sql(expression) -409 -410 -411def parse_date_delta( -412 exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None -413) -> t.Callable[[t.List], E]: -414 def inner_func(args: t.List) -> E: -415 unit_based = len(args) == 3 -416 this = args[2] if unit_based else seq_get(args, 0) -417 unit = args[0] if unit_based else exp.Literal.string("DAY") -418 unit = exp.var(unit_mapping.get(unit.name.lower(), unit.name)) if unit_mapping else unit -419 return exp_class(this=this, expression=seq_get(args, 1), unit=unit) +359def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str: +360 n = self.sql(expression, "this") +361 d = self.sql(expression, "expression") +362 return f"IF({d} <> 0, {n} / {d}, NULL)" +363 +364 +365def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str: +366 self.unsupported("TABLESAMPLE unsupported") +367 return self.sql(expression.this) +368 +369 +370def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str: +371 self.unsupported("PIVOT unsupported") +372 return "" +373 +374 +375def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str: +376 return self.cast_sql(expression) +377 +378 +379def no_properties_sql(self: Generator, expression: exp.Properties) -> str: +380 self.unsupported("Properties unsupported") +381 return "" +382 +383 +384def no_comment_column_constraint_sql( +385 self: Generator, expression: exp.CommentColumnConstraint +386) -> str: +387 self.unsupported("CommentColumnConstraint unsupported") +388 return "" +389 +390 +391def str_position_sql(self: Generator, expression: exp.StrPosition) -> str: +392 this = self.sql(expression, "this") +393 substr = self.sql(expression, "substr") +394 position = self.sql(expression, "position") +395 if position: +396 return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1" +397 return f"STRPOS({this}, {substr})" +398 +399 +400def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str: +401 this = self.sql(expression, "this") +402 struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True)) +403 return f"{this}.{struct_key}" +404 +405 +406def var_map_sql( +407 self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP" +408) -> str: +409 keys = expression.args["keys"] +410 values = expression.args["values"] +411 +412 if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array): +413 self.unsupported("Cannot convert array columns into map.") +414 return self.func(map_func_name, keys, values) +415 +416 args = [] +417 for key, value in zip(keys.expressions, values.expressions): +418 args.append(self.sql(key)) +419 args.append(self.sql(value)) 420 -421 return inner_func +421 return self.func(map_func_name, *args) 422 423 -424def parse_date_delta_with_interval( -425 expression_class: t.Type[E], -426) -> t.Callable[[t.List], t.Optional[E]]: -427 def func(args: t.List) -> t.Optional[E]: -428 if len(args) < 2: -429 return None -430 -431 interval = args[1] -432 expression = interval.this -433 if expression and expression.is_string: -434 expression = exp.Literal.number(expression.this) -435 -436 return expression_class( -437 this=args[0], expression=expression, unit=exp.Literal.string(interval.text("unit")) -438 ) -439 -440 return func -441 -442 -443def date_trunc_to_time(args: t.List) -> exp.DateTrunc | exp.TimestampTrunc: -444 unit = seq_get(args, 0) -445 this = seq_get(args, 1) +424def format_time_lambda( +425 exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None +426) -> t.Callable[[t.List], E]: +427 """Helper used for time expressions. +428 +429 Args: +430 exp_class: the expression class to instantiate. +431 dialect: target sql dialect. +432 default: the default format, True being time. +433 +434 Returns: +435 A callable that can be used to return the appropriately formatted time expression. +436 """ +437 +438 def _format_time(args: t.List): +439 return exp_class( +440 this=seq_get(args, 0), +441 format=Dialect[dialect].format_time( +442 seq_get(args, 1) +443 or (Dialect[dialect].TIME_FORMAT if default is True else default or None) +444 ), +445 ) 446 -447 if isinstance(this, exp.Cast) and this.is_type("date"): -448 return exp.DateTrunc(unit=unit, this=this) -449 return exp.TimestampTrunc(this=this, unit=unit) -450 -451 -452def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str: -453 return self.func( -454 "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this -455 ) -456 -457 -458def locate_to_strposition(args: t.List) -> exp.Expression: -459 return exp.StrPosition( -460 this=seq_get(args, 1), substr=seq_get(args, 0), position=seq_get(args, 2) -461 ) -462 -463 -464def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str: -465 return self.func( -466 "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position") -467 ) -468 +447 return _format_time +448 +449 +450def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str: +451 """ +452 In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the +453 PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding +454 columns are removed from the create statement. +455 """ +456 has_schema = isinstance(expression.this, exp.Schema) +457 is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW") +458 +459 if has_schema and is_partitionable: +460 expression = expression.copy() +461 prop = expression.find(exp.PartitionedByProperty) +462 if prop and prop.this and not isinstance(prop.this, exp.Schema): +463 schema = expression.this +464 columns = {v.name.upper() for v in prop.this.expressions} +465 partitions = [col for col in schema.expressions if col.name.upper() in columns] +466 schema.set("expressions", [e for e in schema.expressions if e not in partitions]) +467 prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions))) +468 expression.set("this", schema) 469 -470def left_to_substring_sql(self: Generator, expression: exp.Left) -> str: -471 expression = expression.copy() -472 return self.sql( -473 exp.Substring( -474 this=expression.this, start=exp.Literal.number(1), length=expression.expression -475 ) -476 ) -477 -478 -479def right_to_substring_sql(self: Generator, expression: exp.Left) -> str: -480 expression = expression.copy() -481 return self.sql( -482 exp.Substring( -483 this=expression.this, -484 start=exp.Length(this=expression.this) - exp.paren(expression.expression - 1), -485 ) -486 ) -487 -488 -489def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str: -490 return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)" -491 +470 return self.create_sql(expression) +471 +472 +473def parse_date_delta( +474 exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None +475) -> t.Callable[[t.List], E]: +476 def inner_func(args: t.List) -> E: +477 unit_based = len(args) == 3 +478 this = args[2] if unit_based else seq_get(args, 0) +479 unit = args[0] if unit_based else exp.Literal.string("DAY") +480 unit = exp.var(unit_mapping.get(unit.name.lower(), unit.name)) if unit_mapping else unit +481 return exp_class(this=this, expression=seq_get(args, 1), unit=unit) +482 +483 return inner_func +484 +485 +486def parse_date_delta_with_interval( +487 expression_class: t.Type[E], +488) -> t.Callable[[t.List], t.Optional[E]]: +489 def func(args: t.List) -> t.Optional[E]: +490 if len(args) < 2: +491 return None 492 -493def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str: -494 return f"CAST({self.sql(expression, 'this')} AS DATE)" -495 -496 -497def min_or_least(self: Generator, expression: exp.Min) -> str: -498 name = "LEAST" if expression.expressions else "MIN" -499 return rename_func(name)(self, expression) -500 +493 interval = args[1] +494 expression = interval.this +495 if expression and expression.is_string: +496 expression = exp.Literal.number(expression.this) +497 +498 return expression_class( +499 this=args[0], expression=expression, unit=exp.Literal.string(interval.text("unit")) +500 ) 501 -502def max_or_greatest(self: Generator, expression: exp.Max) -> str: -503 name = "GREATEST" if expression.expressions else "MAX" -504 return rename_func(name)(self, expression) -505 -506 -507def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str: -508 cond = expression.this -509 -510 if isinstance(expression.this, exp.Distinct): -511 cond = expression.this.expressions[0] -512 self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM") +502 return func +503 +504 +505def date_trunc_to_time(args: t.List) -> exp.DateTrunc | exp.TimestampTrunc: +506 unit = seq_get(args, 0) +507 this = seq_get(args, 1) +508 +509 if isinstance(this, exp.Cast) and this.is_type("date"): +510 return exp.DateTrunc(unit=unit, this=this) +511 return exp.TimestampTrunc(this=this, unit=unit) +512 513 -514 return self.func("sum", exp.func("if", cond, 1, 0)) -515 -516 -517def trim_sql(self: Generator, expression: exp.Trim) -> str: -518 target = self.sql(expression, "this") -519 trim_type = self.sql(expression, "position") -520 remove_chars = self.sql(expression, "expression") -521 collation = self.sql(expression, "collation") -522 -523 # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific -524 if not remove_chars and not collation: -525 return self.trim_sql(expression) -526 -527 trim_type = f"{trim_type} " if trim_type else "" -528 remove_chars = f"{remove_chars} " if remove_chars else "" -529 from_part = "FROM " if trim_type or remove_chars else "" -530 collation = f" COLLATE {collation}" if collation else "" -531 return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})" -532 -533 -534def str_to_time_sql(self: Generator, expression: exp.Expression) -> str: -535 return self.func("STRPTIME", expression.this, self.format_time(expression)) -536 -537 -538def ts_or_ds_to_date_sql(dialect: str) -> t.Callable: -539 def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str: -540 _dialect = Dialect.get_or_raise(dialect) -541 time_format = self.format_time(expression) -542 if time_format and time_format not in (_dialect.TIME_FORMAT, _dialect.DATE_FORMAT): -543 return f"CAST({str_to_time_sql(self, expression)} AS DATE)" -544 return f"CAST({self.sql(expression, 'this')} AS DATE)" -545 -546 return _ts_or_ds_to_date_sql -547 -548 -549def concat_to_dpipe_sql(self: Generator, expression: exp.Concat | exp.SafeConcat) -> str: -550 this, *rest_args = expression.expressions -551 for arg in rest_args: -552 this = exp.DPipe(this=this, expression=arg) +514def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str: +515 return self.func( +516 "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this +517 ) +518 +519 +520def locate_to_strposition(args: t.List) -> exp.Expression: +521 return exp.StrPosition( +522 this=seq_get(args, 1), substr=seq_get(args, 0), position=seq_get(args, 2) +523 ) +524 +525 +526def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str: +527 return self.func( +528 "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position") +529 ) +530 +531 +532def left_to_substring_sql(self: Generator, expression: exp.Left) -> str: +533 expression = expression.copy() +534 return self.sql( +535 exp.Substring( +536 this=expression.this, start=exp.Literal.number(1), length=expression.expression +537 ) +538 ) +539 +540 +541def right_to_substring_sql(self: Generator, expression: exp.Left) -> str: +542 expression = expression.copy() +543 return self.sql( +544 exp.Substring( +545 this=expression.this, +546 start=exp.Length(this=expression.this) - exp.paren(expression.expression - 1), +547 ) +548 ) +549 +550 +551def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str: +552 return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)" 553 -554 return self.sql(this) -555 -556 -557# Spark, DuckDB use (almost) the same naming scheme for the output columns of the PIVOT operator -558def pivot_column_names(aggregations: t.List[exp.Expression], dialect: DialectType) -> t.List[str]: -559 names = [] -560 for agg in aggregations: -561 if isinstance(agg, exp.Alias): -562 names.append(agg.alias) -563 else: -564 """ -565 This case corresponds to aggregations without aliases being used as suffixes -566 (e.g. col_avg(foo)). We need to unquote identifiers because they're going to -567 be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`. -568 Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes). -569 """ -570 agg_all_unquoted = agg.transform( -571 lambda node: exp.Identifier(this=node.name, quoted=False) -572 if isinstance(node, exp.Identifier) -573 else node -574 ) -575 names.append(agg_all_unquoted.sql(dialect=dialect, normalize_functions="lower")) -576 -577 return names +554 +555def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str: +556 return f"CAST({self.sql(expression, 'this')} AS DATE)" +557 +558 +559def min_or_least(self: Generator, expression: exp.Min) -> str: +560 name = "LEAST" if expression.expressions else "MIN" +561 return rename_func(name)(self, expression) +562 +563 +564def max_or_greatest(self: Generator, expression: exp.Max) -> str: +565 name = "GREATEST" if expression.expressions else "MAX" +566 return rename_func(name)(self, expression) +567 +568 +569def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str: +570 cond = expression.this +571 +572 if isinstance(expression.this, exp.Distinct): +573 cond = expression.this.expressions[0] +574 self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM") +575 +576 return self.func("sum", exp.func("if", cond, 1, 0)) +577 +578 +579def trim_sql(self: Generator, expression: exp.Trim) -> str: +580 target = self.sql(expression, "this") +581 trim_type = self.sql(expression, "position") +582 remove_chars = self.sql(expression, "expression") +583 collation = self.sql(expression, "collation") +584 +585 # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific +586 if not remove_chars and not collation: +587 return self.trim_sql(expression) +588 +589 trim_type = f"{trim_type} " if trim_type else "" +590 remove_chars = f"{remove_chars} " if remove_chars else "" +591 from_part = "FROM " if trim_type or remove_chars else "" +592 collation = f" COLLATE {collation}" if collation else "" +593 return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})" +594 +595 +596def str_to_time_sql(self: Generator, expression: exp.Expression) -> str: +597 return self.func("STRPTIME", expression.this, self.format_time(expression)) +598 +599 +600def ts_or_ds_to_date_sql(dialect: str) -> t.Callable: +601 def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str: +602 _dialect = Dialect.get_or_raise(dialect) +603 time_format = self.format_time(expression) +604 if time_format and time_format not in (_dialect.TIME_FORMAT, _dialect.DATE_FORMAT): +605 return f"CAST({str_to_time_sql(self, expression)} AS DATE)" +606 return f"CAST({self.sql(expression, 'this')} AS DATE)" +607 +608 return _ts_or_ds_to_date_sql +609 +610 +611def concat_to_dpipe_sql(self: Generator, expression: exp.Concat | exp.SafeConcat) -> str: +612 this, *rest_args = expression.expressions +613 for arg in rest_args: +614 this = exp.DPipe(this=this, expression=arg) +615 +616 return self.sql(this) +617 +618 +619# Spark, DuckDB use (almost) the same naming scheme for the output columns of the PIVOT operator +620def pivot_column_names(aggregations: t.List[exp.Expression], dialect: DialectType) -> t.List[str]: +621 names = [] +622 for agg in aggregations: +623 if isinstance(agg, exp.Alias): +624 names.append(agg.alias) +625 else: +626 """ +627 This case corresponds to aggregations without aliases being used as suffixes +628 (e.g. col_avg(foo)). We need to unquote identifiers because they're going to +629 be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`. +630 Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes). +631 """ +632 agg_all_unquoted = agg.transform( +633 lambda node: exp.Identifier(this=node.name, quoted=False) +634 if isinstance(node, exp.Identifier) +635 else node +636 ) +637 names.append(agg_all_unquoted.sql(dialect=dialect, normalize_functions="lower")) +638 +639 return names
      @@ -861,29 +935,29 @@
      - 
      24class Dialects(str, Enum):
-25    DIALECT = ""
-26
-27    BIGQUERY = "bigquery"
-28    CLICKHOUSE = "clickhouse"
-29    DATABRICKS = "databricks"
-30    DRILL = "drill"
-31    DUCKDB = "duckdb"
-32    HIVE = "hive"
-33    MYSQL = "mysql"
-34    ORACLE = "oracle"
-35    POSTGRES = "postgres"
-36    PRESTO = "presto"
-37    REDSHIFT = "redshift"
-38    SNOWFLAKE = "snowflake"
-39    SPARK = "spark"
-40    SPARK2 = "spark2"
-41    SQLITE = "sqlite"
-42    STARROCKS = "starrocks"
-43    TABLEAU = "tableau"
-44    TERADATA = "teradata"
-45    TRINO = "trino"
-46    TSQL = "tsql"
+            
      17class Dialects(str, Enum):
+18    DIALECT = ""
+19
+20    BIGQUERY = "bigquery"
+21    CLICKHOUSE = "clickhouse"
+22    DATABRICKS = "databricks"
+23    DRILL = "drill"
+24    DUCKDB = "duckdb"
+25    HIVE = "hive"
+26    MYSQL = "mysql"
+27    ORACLE = "oracle"
+28    POSTGRES = "postgres"
+29    PRESTO = "presto"
+30    REDSHIFT = "redshift"
+31    SNOWFLAKE = "snowflake"
+32    SPARK = "spark"
+33    SPARK2 = "spark2"
+34    SQLITE = "sqlite"
+35    STARROCKS = "starrocks"
+36    TABLEAU = "tableau"
+37    TERADATA = "teradata"
+38    TRINO = "trino"
+39    TSQL = "tsql"
 
      
 
 
@@ -1215,118 +1289,182 @@
      - 
      133class Dialect(metaclass=_Dialect):
-134    # Determines the base index offset for arrays
-135    INDEX_OFFSET = 0
-136
-137    # If true unnest table aliases are considered only as column aliases
-138    UNNEST_COLUMN_ONLY = False
-139
-140    # Determines whether or not the table alias comes after tablesample
-141    ALIAS_POST_TABLESAMPLE = False
-142
-143    # Determines whether or not an unquoted identifier can start with a digit
-144    IDENTIFIERS_CAN_START_WITH_DIGIT = False
-145
-146    # Determines whether or not CONCAT's arguments must be strings
-147    STRICT_STRING_CONCAT = False
-148
-149    # Determines how function names are going to be normalized
-150    NORMALIZE_FUNCTIONS: bool | str = "upper"
-151
-152    # Indicates the default null ordering method to use if not explicitly set
-153    # Options are: "nulls_are_small", "nulls_are_large", "nulls_are_last"
-154    NULL_ORDERING = "nulls_are_small"
-155
-156    DATE_FORMAT = "'%Y-%m-%d'"
-157    DATEINT_FORMAT = "'%Y%m%d'"
-158    TIME_FORMAT = "'%Y-%m-%d %H:%M:%S'"
-159
-160    # Custom time mappings in which the key represents dialect time format
-161    # and the value represents a python time format
-162    TIME_MAPPING: t.Dict[str, str] = {}
-163
-164    # https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_model_rules_date_time
-165    # https://docs.teradata.com/r/Teradata-Database-SQL-Functions-Operators-Expressions-and-Predicates/March-2017/Data-Type-Conversions/Character-to-DATE-Conversion/Forcing-a-FORMAT-on-CAST-for-Converting-Character-to-DATE
-166    # special syntax cast(x as date format 'yyyy') defaults to time_mapping
-167    FORMAT_MAPPING: t.Dict[str, str] = {}
-168
-169    # Autofilled
-170    tokenizer_class = Tokenizer
-171    parser_class = Parser
-172    generator_class = Generator
-173
-174    # A trie of the time_mapping keys
-175    TIME_TRIE: t.Dict = {}
-176    FORMAT_TRIE: t.Dict = {}
-177
-178    INVERSE_TIME_MAPPING: t.Dict[str, str] = {}
-179    INVERSE_TIME_TRIE: t.Dict = {}
-180
-181    def __eq__(self, other: t.Any) -> bool:
-182        return type(self) == other
-183
-184    def __hash__(self) -> int:
-185        return hash(type(self))
-186
-187    @classmethod
-188    def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]:
-189        if not dialect:
-190            return cls
-191        if isinstance(dialect, _Dialect):
-192            return dialect
-193        if isinstance(dialect, Dialect):
-194            return dialect.__class__
-195
-196        result = cls.get(dialect)
-197        if not result:
-198            raise ValueError(f"Unknown dialect '{dialect}'")
-199
-200        return result
+            
      131class Dialect(metaclass=_Dialect):
+132    # Determines the base index offset for arrays
+133    INDEX_OFFSET = 0
+134
+135    # If true unnest table aliases are considered only as column aliases
+136    UNNEST_COLUMN_ONLY = False
+137
+138    # Determines whether or not the table alias comes after tablesample
+139    ALIAS_POST_TABLESAMPLE = False
+140
+141    # Determines whether or not unquoted identifiers are resolved as uppercase
+142    # When set to None, it means that the dialect treats all identifiers as case-insensitive
+143    RESOLVES_IDENTIFIERS_AS_UPPERCASE: t.Optional[bool] = False
+144
+145    # Determines whether or not an unquoted identifier can start with a digit
+146    IDENTIFIERS_CAN_START_WITH_DIGIT = False
+147
+148    # Determines whether or not CONCAT's arguments must be strings
+149    STRICT_STRING_CONCAT = False
+150
+151    # Determines how function names are going to be normalized
+152    NORMALIZE_FUNCTIONS: bool | str = "upper"
+153
+154    # Indicates the default null ordering method to use if not explicitly set
+155    # Options are: "nulls_are_small", "nulls_are_large", "nulls_are_last"
+156    NULL_ORDERING = "nulls_are_small"
+157
+158    DATE_FORMAT = "'%Y-%m-%d'"
+159    DATEINT_FORMAT = "'%Y%m%d'"
+160    TIME_FORMAT = "'%Y-%m-%d %H:%M:%S'"
+161
+162    # Custom time mappings in which the key represents dialect time format
+163    # and the value represents a python time format
+164    TIME_MAPPING: t.Dict[str, str] = {}
+165
+166    # https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_model_rules_date_time
+167    # https://docs.teradata.com/r/Teradata-Database-SQL-Functions-Operators-Expressions-and-Predicates/March-2017/Data-Type-Conversions/Character-to-DATE-Conversion/Forcing-a-FORMAT-on-CAST-for-Converting-Character-to-DATE
+168    # special syntax cast(x as date format 'yyyy') defaults to time_mapping
+169    FORMAT_MAPPING: t.Dict[str, str] = {}
+170
+171    # Autofilled
+172    tokenizer_class = Tokenizer
+173    parser_class = Parser
+174    generator_class = Generator
+175
+176    # A trie of the time_mapping keys
+177    TIME_TRIE: t.Dict = {}
+178    FORMAT_TRIE: t.Dict = {}
+179
+180    INVERSE_TIME_MAPPING: t.Dict[str, str] = {}
+181    INVERSE_TIME_TRIE: t.Dict = {}
+182
+183    def __eq__(self, other: t.Any) -> bool:
+184        return type(self) == other
+185
+186    def __hash__(self) -> int:
+187        return hash(type(self))
+188
+189    @classmethod
+190    def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]:
+191        if not dialect:
+192            return cls
+193        if isinstance(dialect, _Dialect):
+194            return dialect
+195        if isinstance(dialect, Dialect):
+196            return dialect.__class__
+197
+198        result = cls.get(dialect)
+199        if not result:
+200            raise ValueError(f"Unknown dialect '{dialect}'")
 201
-202    @classmethod
-203    def format_time(
-204        cls, expression: t.Optional[str | exp.Expression]
-205    ) -> t.Optional[exp.Expression]:
-206        if isinstance(expression, str):
-207            return exp.Literal.string(
-208                # the time formats are quoted
-209                format_time(expression[1:-1], cls.TIME_MAPPING, cls.TIME_TRIE)
-210            )
-211
-212        if expression and expression.is_string:
-213            return exp.Literal.string(format_time(expression.this, cls.TIME_MAPPING, cls.TIME_TRIE))
-214
-215        return expression
+202        return result
+203
+204    @classmethod
+205    def format_time(
+206        cls, expression: t.Optional[str | exp.Expression]
+207    ) -> t.Optional[exp.Expression]:
+208        if isinstance(expression, str):
+209            return exp.Literal.string(
+210                # the time formats are quoted
+211                format_time(expression[1:-1], cls.TIME_MAPPING, cls.TIME_TRIE)
+212            )
+213
+214        if expression and expression.is_string:
+215            return exp.Literal.string(format_time(expression.this, cls.TIME_MAPPING, cls.TIME_TRIE))
 216
-217    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
-218        return self.parser(**opts).parse(self.tokenize(sql), sql)
-219
-220    def parse_into(
-221        self, expression_type: exp.IntoType, sql: str, **opts
-222    ) -> t.List[t.Optional[exp.Expression]]:
-223        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)
-224
-225    def generate(self, expression: t.Optional[exp.Expression], **opts) -> str:
-226        return self.generator(**opts).generate(expression)
-227
-228    def transpile(self, sql: str, **opts) -> t.List[str]:
-229        return [self.generate(expression, **opts) for expression in self.parse(sql)]
-230
-231    def tokenize(self, sql: str) -> t.List[Token]:
-232        return self.tokenizer.tokenize(sql)
-233
-234    @property
-235    def tokenizer(self) -> Tokenizer:
-236        if not hasattr(self, "_tokenizer"):
-237            self._tokenizer = self.tokenizer_class()
-238        return self._tokenizer
-239
-240    def parser(self, **opts) -> Parser:
-241        return self.parser_class(**opts)
-242
-243    def generator(self, **opts) -> Generator:
-244        return self.generator_class(**opts)
+217        return expression
+218
+219    @classmethod
+220    def normalize_identifier(cls, expression: E) -> E:
+221        """
+222        Normalizes an unquoted identifier to either lower or upper case, thus essentially
+223        making it case-insensitive. If a dialect treats all identifiers as case-insensitive,
+224        they will be normalized regardless of being quoted or not.
+225        """
+226        if isinstance(expression, exp.Identifier) and (
+227            not expression.quoted or cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE is None
+228        ):
+229            expression.set(
+230                "this",
+231                expression.this.upper()
+232                if cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE
+233                else expression.this.lower(),
+234            )
+235
+236        return expression
+237
+238    @classmethod
+239    def case_sensitive(cls, text: str) -> bool:
+240        """Checks if text contains any case sensitive characters, based on the dialect's rules."""
+241        if cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE is None:
+242            return False
+243
+244        unsafe = str.islower if cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE else str.isupper
+245        return any(unsafe(char) for char in text)
+246
+247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+267
+268    @classmethod
+269    def quote_identifier(cls, expression: E, identify: bool = True) -> E:
+270        if isinstance(expression, exp.Identifier):
+271            name = expression.this
+272            expression.set(
+273                "quoted",
+274                identify or cls.case_sensitive(name) or not exp.SAFE_IDENTIFIER_RE.match(name),
+275            )
+276
+277        return expression
+278
+279    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
+280        return self.parser(**opts).parse(self.tokenize(sql), sql)
+281
+282    def parse_into(
+283        self, expression_type: exp.IntoType, sql: str, **opts
+284    ) -> t.List[t.Optional[exp.Expression]]:
+285        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)
+286
+287    def generate(self, expression: t.Optional[exp.Expression], **opts) -> str:
+288        return self.generator(**opts).generate(expression)
+289
+290    def transpile(self, sql: str, **opts) -> t.List[str]:
+291        return [self.generate(expression, **opts) for expression in self.parse(sql)]
+292
+293    def tokenize(self, sql: str) -> t.List[Token]:
+294        return self.tokenizer.tokenize(sql)
+295
+296    @property
+297    def tokenizer(self) -> Tokenizer:
+298        if not hasattr(self, "_tokenizer"):
+299            self._tokenizer = self.tokenizer_class()
+300        return self._tokenizer
+301
+302    def parser(self, **opts) -> Parser:
+303        return self.parser_class(**opts)
+304
+305    def generator(self, **opts) -> Generator:
+306        return self.generator_class(**opts)
 
      
 
 
@@ -1344,20 +1482,20 @@
      - 
      187    @classmethod
-188    def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]:
-189        if not dialect:
-190            return cls
-191        if isinstance(dialect, _Dialect):
-192            return dialect
-193        if isinstance(dialect, Dialect):
-194            return dialect.__class__
-195
-196        result = cls.get(dialect)
-197        if not result:
-198            raise ValueError(f"Unknown dialect '{dialect}'")
-199
-200        return result
+            
      189    @classmethod
+190    def get_or_raise(cls, dialect: DialectType) -> t.Type[Dialect]:
+191        if not dialect:
+192            return cls
+193        if isinstance(dialect, _Dialect):
+194            return dialect
+195        if isinstance(dialect, Dialect):
+196            return dialect.__class__
+197
+198        result = cls.get(dialect)
+199        if not result:
+200            raise ValueError(f"Unknown dialect '{dialect}'")
+201
+202        return result
 
      
 
 
@@ -1376,20 +1514,170 @@
      - 
      202    @classmethod
-203    def format_time(
-204        cls, expression: t.Optional[str | exp.Expression]
-205    ) -> t.Optional[exp.Expression]:
-206        if isinstance(expression, str):
-207            return exp.Literal.string(
-208                # the time formats are quoted
-209                format_time(expression[1:-1], cls.TIME_MAPPING, cls.TIME_TRIE)
-210            )
-211
-212        if expression and expression.is_string:
-213            return exp.Literal.string(format_time(expression.this, cls.TIME_MAPPING, cls.TIME_TRIE))
-214
-215        return expression
+            
      204    @classmethod
+205    def format_time(
+206        cls, expression: t.Optional[str | exp.Expression]
+207    ) -> t.Optional[exp.Expression]:
+208        if isinstance(expression, str):
+209            return exp.Literal.string(
+210                # the time formats are quoted
+211                format_time(expression[1:-1], cls.TIME_MAPPING, cls.TIME_TRIE)
+212            )
+213
+214        if expression and expression.is_string:
+215            return exp.Literal.string(format_time(expression.this, cls.TIME_MAPPING, cls.TIME_TRIE))
+216
+217        return expression
+
      
+
+
+    
+
+
      +
      + +
      +
      @classmethod
      + + def + normalize_identifier(cls, expression: ~E) -> ~E: + + + +
      + + 
      219    @classmethod
+220    def normalize_identifier(cls, expression: E) -> E:
+221        """
+222        Normalizes an unquoted identifier to either lower or upper case, thus essentially
+223        making it case-insensitive. If a dialect treats all identifiers as case-insensitive,
+224        they will be normalized regardless of being quoted or not.
+225        """
+226        if isinstance(expression, exp.Identifier) and (
+227            not expression.quoted or cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE is None
+228        ):
+229            expression.set(
+230                "this",
+231                expression.this.upper()
+232                if cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE
+233                else expression.this.lower(),
+234            )
+235
+236        return expression
+
      + + +

      Normalizes an unquoted identifier to either lower or upper case, thus essentially +making it case-insensitive. If a dialect treats all identifiers as case-insensitive, +they will be normalized regardless of being quoted or not.

      +
      + + +
      +
      + +
      +
      @classmethod
      + + def + case_sensitive(cls, text: str) -> bool: + + + +
      + + 
      238    @classmethod
+239    def case_sensitive(cls, text: str) -> bool:
+240        """Checks if text contains any case sensitive characters, based on the dialect's rules."""
+241        if cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE is None:
+242            return False
+243
+244        unsafe = str.islower if cls.RESOLVES_IDENTIFIERS_AS_UPPERCASE else str.isupper
+245        return any(unsafe(char) for char in text)
+
      + + +

      Checks if text contains any case sensitive characters, based on the dialect's rules.

      +
      + + +
      +
      + +
      +
      @classmethod
      + + def + can_identify(cls, text: str, identify: str | bool = 'safe') -> bool: + + + +
      + + 
      247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
      + + +

      Checks if text can be identified given an identify option.

      + +
      Arguments:
      + +
        +
      • text: The text to check.
        • +
      • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
        • +
      + +
      Returns:
      + +
      +

      Whether or not the given text can be identified.

      +
      +
      + + +
      +
      + +
      +
      @classmethod
      + + def + quote_identifier(cls, expression: ~E, identify: bool = True) -> ~E: + + + +
      + + 
      268    @classmethod
+269    def quote_identifier(cls, expression: E, identify: bool = True) -> E:
+270        if isinstance(expression, exp.Identifier):
+271            name = expression.this
+272            expression.set(
+273                "quoted",
+274                identify or cls.case_sensitive(name) or not exp.SAFE_IDENTIFIER_RE.match(name),
+275            )
+276
+277        return expression
      @@ -1407,8 +1695,8 @@
      - 
      217    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
-218        return self.parser(**opts).parse(self.tokenize(sql), sql)
+            
      279    def parse(self, sql: str, **opts) -> t.List[t.Optional[exp.Expression]]:
+280        return self.parser(**opts).parse(self.tokenize(sql), sql)
 
      
 
 
@@ -1426,10 +1714,10 @@
      - 
      220    def parse_into(
-221        self, expression_type: exp.IntoType, sql: str, **opts
-222    ) -> t.List[t.Optional[exp.Expression]]:
-223        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)
+            
      282    def parse_into(
+283        self, expression_type: exp.IntoType, sql: str, **opts
+284    ) -> t.List[t.Optional[exp.Expression]]:
+285        return self.parser(**opts).parse_into(expression_type, self.tokenize(sql), sql)
 
      
 
 
@@ -1447,8 +1735,8 @@
      - 
      225    def generate(self, expression: t.Optional[exp.Expression], **opts) -> str:
-226        return self.generator(**opts).generate(expression)
+            
      287    def generate(self, expression: t.Optional[exp.Expression], **opts) -> str:
+288        return self.generator(**opts).generate(expression)
 
      
 
 
@@ -1466,8 +1754,8 @@
      - 
      228    def transpile(self, sql: str, **opts) -> t.List[str]:
-229        return [self.generate(expression, **opts) for expression in self.parse(sql)]
+            
      290    def transpile(self, sql: str, **opts) -> t.List[str]:
+291        return [self.generate(expression, **opts) for expression in self.parse(sql)]
 
      
 
 
@@ -1485,8 +1773,8 @@
      - 
      231    def tokenize(self, sql: str) -> t.List[Token]:
-232        return self.tokenizer.tokenize(sql)
+            
      293    def tokenize(self, sql: str) -> t.List[Token]:
+294        return self.tokenizer.tokenize(sql)
 
      
 
 
@@ -1504,8 +1792,8 @@
      - 
      240    def parser(self, **opts) -> Parser:
-241        return self.parser_class(**opts)
+            
      302    def parser(self, **opts) -> Parser:
+303        return self.parser_class(**opts)
 
      
 
 
@@ -1523,8 +1811,8 @@
      - 
      243    def generator(self, **opts) -> Generator:
-244        return self.generator_class(**opts)
+            
      305    def generator(self, **opts) -> Generator:
+306        return self.generator_class(**opts)
 
      
 
 
@@ -1543,8 +1831,8 @@
      - 
      250def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]:
-251    return lambda self, expression: self.func(name, *flatten(expression.args.values()))
+            
      312def rename_func(name: str) -> t.Callable[[Generator, exp.Expression], str]:
+313    return lambda self, expression: self.func(name, *flatten(expression.args.values()))
 
      
 
 
@@ -1562,10 +1850,10 @@
      - 
      254def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str:
-255    if expression.args.get("accuracy"):
-256        self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy")
-257    return self.func("APPROX_COUNT_DISTINCT", expression.this)
+            
      316def approx_count_distinct_sql(self: Generator, expression: exp.ApproxDistinct) -> str:
+317    if expression.args.get("accuracy"):
+318        self.unsupported("APPROX_COUNT_DISTINCT does not support accuracy")
+319    return self.func("APPROX_COUNT_DISTINCT", expression.this)
 
      
 
 
@@ -1583,10 +1871,10 @@
      - 
      260def if_sql(self: Generator, expression: exp.If) -> str:
-261    return self.func(
-262        "IF", expression.this, expression.args.get("true"), expression.args.get("false")
-263    )
+            
      322def if_sql(self: Generator, expression: exp.If) -> str:
+323    return self.func(
+324        "IF", expression.this, expression.args.get("true"), expression.args.get("false")
+325    )
 
      
 
 
@@ -1604,8 +1892,8 @@
      - 
      266def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str:
-267    return self.binary(expression, "->")
+            
      328def arrow_json_extract_sql(self: Generator, expression: exp.JSONExtract | exp.JSONBExtract) -> str:
+329    return self.binary(expression, "->")
 
      
 
 
@@ -1623,10 +1911,10 @@
      - 
      270def arrow_json_extract_scalar_sql(
-271    self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar
-272) -> str:
-273    return self.binary(expression, "->>")
+            
      332def arrow_json_extract_scalar_sql(
+333    self: Generator, expression: exp.JSONExtractScalar | exp.JSONBExtractScalar
+334) -> str:
+335    return self.binary(expression, "->>")
 
      
 
 
@@ -1644,8 +1932,8 @@
      - 
      276def inline_array_sql(self: Generator, expression: exp.Array) -> str:
-277    return f"[{self.expressions(expression)}]"
+            
      338def inline_array_sql(self: Generator, expression: exp.Array) -> str:
+339    return f"[{self.expressions(expression)}]"
 
      
 
 
@@ -1663,10 +1951,10 @@
      - 
      280def no_ilike_sql(self: Generator, expression: exp.ILike) -> str:
-281    return self.like_sql(
-282        exp.Like(this=exp.Lower(this=expression.this), expression=expression.expression)
-283    )
+            
      342def no_ilike_sql(self: Generator, expression: exp.ILike) -> str:
+343    return self.like_sql(
+344        exp.Like(this=exp.Lower(this=expression.this), expression=expression.expression)
+345    )
 
      
 
 
@@ -1684,9 +1972,9 @@
      - 
      286def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str:
-287    zone = self.sql(expression, "this")
-288    return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE"
+            
      348def no_paren_current_date_sql(self: Generator, expression: exp.CurrentDate) -> str:
+349    zone = self.sql(expression, "this")
+350    return f"CURRENT_DATE AT TIME ZONE {zone}" if zone else "CURRENT_DATE"
 
      
 
 
@@ -1704,11 +1992,11 @@
      - 
      291def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str:
-292    if expression.args.get("recursive"):
-293        self.unsupported("Recursive CTEs are unsupported")
-294        expression.args["recursive"] = False
-295    return self.with_sql(expression)
+            
      353def no_recursive_cte_sql(self: Generator, expression: exp.With) -> str:
+354    if expression.args.get("recursive"):
+355        self.unsupported("Recursive CTEs are unsupported")
+356        expression.args["recursive"] = False
+357    return self.with_sql(expression)
 
      
 
 
@@ -1726,10 +2014,10 @@
      - 
      298def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str:
-299    n = self.sql(expression, "this")
-300    d = self.sql(expression, "expression")
-301    return f"IF({d} <> 0, {n} / {d}, NULL)"
+            
      360def no_safe_divide_sql(self: Generator, expression: exp.SafeDivide) -> str:
+361    n = self.sql(expression, "this")
+362    d = self.sql(expression, "expression")
+363    return f"IF({d} <> 0, {n} / {d}, NULL)"
 
      
 
 
@@ -1747,9 +2035,9 @@
      - 
      304def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str:
-305    self.unsupported("TABLESAMPLE unsupported")
-306    return self.sql(expression.this)
+            
      366def no_tablesample_sql(self: Generator, expression: exp.TableSample) -> str:
+367    self.unsupported("TABLESAMPLE unsupported")
+368    return self.sql(expression.this)
 
      
 
 
@@ -1767,9 +2055,9 @@
      - 
      309def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str:
-310    self.unsupported("PIVOT unsupported")
-311    return ""
+            
      371def no_pivot_sql(self: Generator, expression: exp.Pivot) -> str:
+372    self.unsupported("PIVOT unsupported")
+373    return ""
 
      
 
 
@@ -1787,8 +2075,8 @@
      - 
      314def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str:
-315    return self.cast_sql(expression)
+            
      376def no_trycast_sql(self: Generator, expression: exp.TryCast) -> str:
+377    return self.cast_sql(expression)
 
      
 
 
@@ -1806,9 +2094,9 @@
      - 
      318def no_properties_sql(self: Generator, expression: exp.Properties) -> str:
-319    self.unsupported("Properties unsupported")
-320    return ""
+            
      380def no_properties_sql(self: Generator, expression: exp.Properties) -> str:
+381    self.unsupported("Properties unsupported")
+382    return ""
 
      
 
 
@@ -1826,11 +2114,11 @@
      - 
      323def no_comment_column_constraint_sql(
-324    self: Generator, expression: exp.CommentColumnConstraint
-325) -> str:
-326    self.unsupported("CommentColumnConstraint unsupported")
-327    return ""
+            
      385def no_comment_column_constraint_sql(
+386    self: Generator, expression: exp.CommentColumnConstraint
+387) -> str:
+388    self.unsupported("CommentColumnConstraint unsupported")
+389    return ""
 
      
 
 
@@ -1848,13 +2136,13 @@
      - 
      330def str_position_sql(self: Generator, expression: exp.StrPosition) -> str:
-331    this = self.sql(expression, "this")
-332    substr = self.sql(expression, "substr")
-333    position = self.sql(expression, "position")
-334    if position:
-335        return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1"
-336    return f"STRPOS({this}, {substr})"
+            
      392def str_position_sql(self: Generator, expression: exp.StrPosition) -> str:
+393    this = self.sql(expression, "this")
+394    substr = self.sql(expression, "substr")
+395    position = self.sql(expression, "position")
+396    if position:
+397        return f"STRPOS(SUBSTR({this}, {position}), {substr}) + {position} - 1"
+398    return f"STRPOS({this}, {substr})"
 
      
 
 
@@ -1872,10 +2160,10 @@
      - 
      339def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str:
-340    this = self.sql(expression, "this")
-341    struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True))
-342    return f"{this}.{struct_key}"
+            
      401def struct_extract_sql(self: Generator, expression: exp.StructExtract) -> str:
+402    this = self.sql(expression, "this")
+403    struct_key = self.sql(exp.Identifier(this=expression.expression, quoted=True))
+404    return f"{this}.{struct_key}"
 
      
 
 
@@ -1893,22 +2181,22 @@
      - 
      345def var_map_sql(
-346    self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP"
-347) -> str:
-348    keys = expression.args["keys"]
-349    values = expression.args["values"]
-350
-351    if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array):
-352        self.unsupported("Cannot convert array columns into map.")
-353        return self.func(map_func_name, keys, values)
-354
-355    args = []
-356    for key, value in zip(keys.expressions, values.expressions):
-357        args.append(self.sql(key))
-358        args.append(self.sql(value))
-359
-360    return self.func(map_func_name, *args)
+            
      407def var_map_sql(
+408    self: Generator, expression: exp.Map | exp.VarMap, map_func_name: str = "MAP"
+409) -> str:
+410    keys = expression.args["keys"]
+411    values = expression.args["values"]
+412
+413    if not isinstance(keys, exp.Array) or not isinstance(values, exp.Array):
+414        self.unsupported("Cannot convert array columns into map.")
+415        return self.func(map_func_name, keys, values)
+416
+417    args = []
+418    for key, value in zip(keys.expressions, values.expressions):
+419        args.append(self.sql(key))
+420        args.append(self.sql(value))
+421
+422    return self.func(map_func_name, *args)
 
      
 
 
@@ -1926,30 +2214,30 @@
      - 
      363def format_time_lambda(
-364    exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None
-365) -> t.Callable[[t.List], E]:
-366    """Helper used for time expressions.
-367
-368    Args:
-369        exp_class: the expression class to instantiate.
-370        dialect: target sql dialect.
-371        default: the default format, True being time.
-372
-373    Returns:
-374        A callable that can be used to return the appropriately formatted time expression.
-375    """
-376
-377    def _format_time(args: t.List):
-378        return exp_class(
-379            this=seq_get(args, 0),
-380            format=Dialect[dialect].format_time(
-381                seq_get(args, 1)
-382                or (Dialect[dialect].TIME_FORMAT if default is True else default or None)
-383            ),
-384        )
-385
-386    return _format_time
+            
      425def format_time_lambda(
+426    exp_class: t.Type[E], dialect: str, default: t.Optional[bool | str] = None
+427) -> t.Callable[[t.List], E]:
+428    """Helper used for time expressions.
+429
+430    Args:
+431        exp_class: the expression class to instantiate.
+432        dialect: target sql dialect.
+433        default: the default format, True being time.
+434
+435    Returns:
+436        A callable that can be used to return the appropriately formatted time expression.
+437    """
+438
+439    def _format_time(args: t.List):
+440        return exp_class(
+441            this=seq_get(args, 0),
+442            format=Dialect[dialect].format_time(
+443                seq_get(args, 1)
+444                or (Dialect[dialect].TIME_FORMAT if default is True else default or None)
+445            ),
+446        )
+447
+448    return _format_time
 
      
 
 
@@ -1983,27 +2271,27 @@
      - 
      389def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str:
-390    """
-391    In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the
-392    PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding
-393    columns are removed from the create statement.
-394    """
-395    has_schema = isinstance(expression.this, exp.Schema)
-396    is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW")
-397
-398    if has_schema and is_partitionable:
-399        expression = expression.copy()
-400        prop = expression.find(exp.PartitionedByProperty)
-401        if prop and prop.this and not isinstance(prop.this, exp.Schema):
-402            schema = expression.this
-403            columns = {v.name.upper() for v in prop.this.expressions}
-404            partitions = [col for col in schema.expressions if col.name.upper() in columns]
-405            schema.set("expressions", [e for e in schema.expressions if e not in partitions])
-406            prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions)))
-407            expression.set("this", schema)
-408
-409    return self.create_sql(expression)
+            
      451def create_with_partitions_sql(self: Generator, expression: exp.Create) -> str:
+452    """
+453    In Hive and Spark, the PARTITIONED BY property acts as an extension of a table's schema. When the
+454    PARTITIONED BY value is an array of column names, they are transformed into a schema. The corresponding
+455    columns are removed from the create statement.
+456    """
+457    has_schema = isinstance(expression.this, exp.Schema)
+458    is_partitionable = expression.args.get("kind") in ("TABLE", "VIEW")
+459
+460    if has_schema and is_partitionable:
+461        expression = expression.copy()
+462        prop = expression.find(exp.PartitionedByProperty)
+463        if prop and prop.this and not isinstance(prop.this, exp.Schema):
+464            schema = expression.this
+465            columns = {v.name.upper() for v in prop.this.expressions}
+466            partitions = [col for col in schema.expressions if col.name.upper() in columns]
+467            schema.set("expressions", [e for e in schema.expressions if e not in partitions])
+468            prop.replace(exp.PartitionedByProperty(this=exp.Schema(expressions=partitions)))
+469            expression.set("this", schema)
+470
+471    return self.create_sql(expression)
 
      
 
 
@@ -2025,17 +2313,17 @@ columns are removed from the create statement.
      - 
      412def parse_date_delta(
-413    exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None
-414) -> t.Callable[[t.List], E]:
-415    def inner_func(args: t.List) -> E:
-416        unit_based = len(args) == 3
-417        this = args[2] if unit_based else seq_get(args, 0)
-418        unit = args[0] if unit_based else exp.Literal.string("DAY")
-419        unit = exp.var(unit_mapping.get(unit.name.lower(), unit.name)) if unit_mapping else unit
-420        return exp_class(this=this, expression=seq_get(args, 1), unit=unit)
-421
-422    return inner_func
+            
      474def parse_date_delta(
+475    exp_class: t.Type[E], unit_mapping: t.Optional[t.Dict[str, str]] = None
+476) -> t.Callable[[t.List], E]:
+477    def inner_func(args: t.List) -> E:
+478        unit_based = len(args) == 3
+479        this = args[2] if unit_based else seq_get(args, 0)
+480        unit = args[0] if unit_based else exp.Literal.string("DAY")
+481        unit = exp.var(unit_mapping.get(unit.name.lower(), unit.name)) if unit_mapping else unit
+482        return exp_class(this=this, expression=seq_get(args, 1), unit=unit)
+483
+484    return inner_func
 
      
 
 
@@ -2053,23 +2341,23 @@ columns are removed from the create statement.
      - 
      425def parse_date_delta_with_interval(
-426    expression_class: t.Type[E],
-427) -> t.Callable[[t.List], t.Optional[E]]:
-428    def func(args: t.List) -> t.Optional[E]:
-429        if len(args) < 2:
-430            return None
-431
-432        interval = args[1]
-433        expression = interval.this
-434        if expression and expression.is_string:
-435            expression = exp.Literal.number(expression.this)
-436
-437        return expression_class(
-438            this=args[0], expression=expression, unit=exp.Literal.string(interval.text("unit"))
-439        )
-440
-441    return func
+            
      487def parse_date_delta_with_interval(
+488    expression_class: t.Type[E],
+489) -> t.Callable[[t.List], t.Optional[E]]:
+490    def func(args: t.List) -> t.Optional[E]:
+491        if len(args) < 2:
+492            return None
+493
+494        interval = args[1]
+495        expression = interval.this
+496        if expression and expression.is_string:
+497            expression = exp.Literal.number(expression.this)
+498
+499        return expression_class(
+500            this=args[0], expression=expression, unit=exp.Literal.string(interval.text("unit"))
+501        )
+502
+503    return func
 
      
 
 
@@ -2087,13 +2375,13 @@ columns are removed from the create statement.
      - 
      444def date_trunc_to_time(args: t.List) -> exp.DateTrunc | exp.TimestampTrunc:
-445    unit = seq_get(args, 0)
-446    this = seq_get(args, 1)
-447
-448    if isinstance(this, exp.Cast) and this.is_type("date"):
-449        return exp.DateTrunc(unit=unit, this=this)
-450    return exp.TimestampTrunc(this=this, unit=unit)
+            
      506def date_trunc_to_time(args: t.List) -> exp.DateTrunc | exp.TimestampTrunc:
+507    unit = seq_get(args, 0)
+508    this = seq_get(args, 1)
+509
+510    if isinstance(this, exp.Cast) and this.is_type("date"):
+511        return exp.DateTrunc(unit=unit, this=this)
+512    return exp.TimestampTrunc(this=this, unit=unit)
 
      
 
 
@@ -2111,10 +2399,10 @@ columns are removed from the create statement.
      - 
      453def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str:
-454    return self.func(
-455        "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this
-456    )
+            
      515def timestamptrunc_sql(self: Generator, expression: exp.TimestampTrunc) -> str:
+516    return self.func(
+517        "DATE_TRUNC", exp.Literal.string(expression.text("unit") or "day"), expression.this
+518    )
 
      
 
 
@@ -2132,10 +2420,10 @@ columns are removed from the create statement.
      - 
      459def locate_to_strposition(args: t.List) -> exp.Expression:
-460    return exp.StrPosition(
-461        this=seq_get(args, 1), substr=seq_get(args, 0), position=seq_get(args, 2)
-462    )
+            
      521def locate_to_strposition(args: t.List) -> exp.Expression:
+522    return exp.StrPosition(
+523        this=seq_get(args, 1), substr=seq_get(args, 0), position=seq_get(args, 2)
+524    )
 
      
 
 
@@ -2153,10 +2441,10 @@ columns are removed from the create statement.
      - 
      465def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str:
-466    return self.func(
-467        "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position")
-468    )
+            
      527def strposition_to_locate_sql(self: Generator, expression: exp.StrPosition) -> str:
+528    return self.func(
+529        "LOCATE", expression.args.get("substr"), expression.this, expression.args.get("position")
+530    )
 
      
 
 
@@ -2174,13 +2462,13 @@ columns are removed from the create statement.
      - 
      471def left_to_substring_sql(self: Generator, expression: exp.Left) -> str:
-472    expression = expression.copy()
-473    return self.sql(
-474        exp.Substring(
-475            this=expression.this, start=exp.Literal.number(1), length=expression.expression
-476        )
-477    )
+            
      533def left_to_substring_sql(self: Generator, expression: exp.Left) -> str:
+534    expression = expression.copy()
+535    return self.sql(
+536        exp.Substring(
+537            this=expression.this, start=exp.Literal.number(1), length=expression.expression
+538        )
+539    )
 
      
 
 
@@ -2198,14 +2486,14 @@ columns are removed from the create statement.
      - 
      480def right_to_substring_sql(self: Generator, expression: exp.Left) -> str:
-481    expression = expression.copy()
-482    return self.sql(
-483        exp.Substring(
-484            this=expression.this,
-485            start=exp.Length(this=expression.this) - exp.paren(expression.expression - 1),
-486        )
-487    )
+            
      542def right_to_substring_sql(self: Generator, expression: exp.Left) -> str:
+543    expression = expression.copy()
+544    return self.sql(
+545        exp.Substring(
+546            this=expression.this,
+547            start=exp.Length(this=expression.this) - exp.paren(expression.expression - 1),
+548        )
+549    )
 
      
 
 
@@ -2223,8 +2511,8 @@ columns are removed from the create statement.
      - 
      490def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str:
-491    return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)"
+            
      552def timestrtotime_sql(self: Generator, expression: exp.TimeStrToTime) -> str:
+553    return f"CAST({self.sql(expression, 'this')} AS TIMESTAMP)"
 
      
 
 
@@ -2242,8 +2530,8 @@ columns are removed from the create statement.
      - 
      494def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str:
-495    return f"CAST({self.sql(expression, 'this')} AS DATE)"
+            
      556def datestrtodate_sql(self: Generator, expression: exp.DateStrToDate) -> str:
+557    return f"CAST({self.sql(expression, 'this')} AS DATE)"
 
      
 
 
@@ -2261,9 +2549,9 @@ columns are removed from the create statement.
      - 
      498def min_or_least(self: Generator, expression: exp.Min) -> str:
-499    name = "LEAST" if expression.expressions else "MIN"
-500    return rename_func(name)(self, expression)
+            
      560def min_or_least(self: Generator, expression: exp.Min) -> str:
+561    name = "LEAST" if expression.expressions else "MIN"
+562    return rename_func(name)(self, expression)
 
      
 
 
@@ -2281,9 +2569,9 @@ columns are removed from the create statement.
      - 
      503def max_or_greatest(self: Generator, expression: exp.Max) -> str:
-504    name = "GREATEST" if expression.expressions else "MAX"
-505    return rename_func(name)(self, expression)
+            
      565def max_or_greatest(self: Generator, expression: exp.Max) -> str:
+566    name = "GREATEST" if expression.expressions else "MAX"
+567    return rename_func(name)(self, expression)
 
      
 
 
@@ -2301,14 +2589,14 @@ columns are removed from the create statement.
      - 
      508def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str:
-509    cond = expression.this
-510
-511    if isinstance(expression.this, exp.Distinct):
-512        cond = expression.this.expressions[0]
-513        self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM")
-514
-515    return self.func("sum", exp.func("if", cond, 1, 0))
+            
      570def count_if_to_sum(self: Generator, expression: exp.CountIf) -> str:
+571    cond = expression.this
+572
+573    if isinstance(expression.this, exp.Distinct):
+574        cond = expression.this.expressions[0]
+575        self.unsupported("DISTINCT is not supported when converting COUNT_IF to SUM")
+576
+577    return self.func("sum", exp.func("if", cond, 1, 0))
 
      
 
 
@@ -2326,21 +2614,21 @@ columns are removed from the create statement.
      - 
      518def trim_sql(self: Generator, expression: exp.Trim) -> str:
-519    target = self.sql(expression, "this")
-520    trim_type = self.sql(expression, "position")
-521    remove_chars = self.sql(expression, "expression")
-522    collation = self.sql(expression, "collation")
-523
-524    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific
-525    if not remove_chars and not collation:
-526        return self.trim_sql(expression)
-527
-528    trim_type = f"{trim_type} " if trim_type else ""
-529    remove_chars = f"{remove_chars} " if remove_chars else ""
-530    from_part = "FROM " if trim_type or remove_chars else ""
-531    collation = f" COLLATE {collation}" if collation else ""
-532    return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})"
+            
      580def trim_sql(self: Generator, expression: exp.Trim) -> str:
+581    target = self.sql(expression, "this")
+582    trim_type = self.sql(expression, "position")
+583    remove_chars = self.sql(expression, "expression")
+584    collation = self.sql(expression, "collation")
+585
+586    # Use TRIM/LTRIM/RTRIM syntax if the expression isn't database-specific
+587    if not remove_chars and not collation:
+588        return self.trim_sql(expression)
+589
+590    trim_type = f"{trim_type} " if trim_type else ""
+591    remove_chars = f"{remove_chars} " if remove_chars else ""
+592    from_part = "FROM " if trim_type or remove_chars else ""
+593    collation = f" COLLATE {collation}" if collation else ""
+594    return f"TRIM({trim_type}{remove_chars}{from_part}{target}{collation})"
 
      
 
 
@@ -2358,8 +2646,8 @@ columns are removed from the create statement.
      - 
      535def str_to_time_sql(self: Generator, expression: exp.Expression) -> str:
-536    return self.func("STRPTIME", expression.this, self.format_time(expression))
+            
      597def str_to_time_sql(self: Generator, expression: exp.Expression) -> str:
+598    return self.func("STRPTIME", expression.this, self.format_time(expression))
 
      
 
 
@@ -2377,15 +2665,15 @@ columns are removed from the create statement.
      - 
      539def ts_or_ds_to_date_sql(dialect: str) -> t.Callable:
-540    def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str:
-541        _dialect = Dialect.get_or_raise(dialect)
-542        time_format = self.format_time(expression)
-543        if time_format and time_format not in (_dialect.TIME_FORMAT, _dialect.DATE_FORMAT):
-544            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
-545        return f"CAST({self.sql(expression, 'this')} AS DATE)"
-546
-547    return _ts_or_ds_to_date_sql
+            
      601def ts_or_ds_to_date_sql(dialect: str) -> t.Callable:
+602    def _ts_or_ds_to_date_sql(self: Generator, expression: exp.TsOrDsToDate) -> str:
+603        _dialect = Dialect.get_or_raise(dialect)
+604        time_format = self.format_time(expression)
+605        if time_format and time_format not in (_dialect.TIME_FORMAT, _dialect.DATE_FORMAT):
+606            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
+607        return f"CAST({self.sql(expression, 'this')} AS DATE)"
+608
+609    return _ts_or_ds_to_date_sql
 
      
 
 
@@ -2403,12 +2691,12 @@ columns are removed from the create statement.
      - 
      550def concat_to_dpipe_sql(self: Generator, expression: exp.Concat | exp.SafeConcat) -> str:
-551    this, *rest_args = expression.expressions
-552    for arg in rest_args:
-553        this = exp.DPipe(this=this, expression=arg)
-554
-555    return self.sql(this)
+            
      612def concat_to_dpipe_sql(self: Generator, expression: exp.Concat | exp.SafeConcat) -> str:
+613    this, *rest_args = expression.expressions
+614    for arg in rest_args:
+615        this = exp.DPipe(this=this, expression=arg)
+616
+617    return self.sql(this)
 
      
 
 
@@ -2426,26 +2714,26 @@ columns are removed from the create statement.
      - 
      559def pivot_column_names(aggregations: t.List[exp.Expression], dialect: DialectType) -> t.List[str]:
-560    names = []
-561    for agg in aggregations:
-562        if isinstance(agg, exp.Alias):
-563            names.append(agg.alias)
-564        else:
-565            """
-566            This case corresponds to aggregations without aliases being used as suffixes
-567            (e.g. col_avg(foo)). We need to unquote identifiers because they're going to
-568            be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`.
-569            Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes).
-570            """
-571            agg_all_unquoted = agg.transform(
-572                lambda node: exp.Identifier(this=node.name, quoted=False)
-573                if isinstance(node, exp.Identifier)
-574                else node
-575            )
-576            names.append(agg_all_unquoted.sql(dialect=dialect, normalize_functions="lower"))
-577
-578    return names
+            
      621def pivot_column_names(aggregations: t.List[exp.Expression], dialect: DialectType) -> t.List[str]:
+622    names = []
+623    for agg in aggregations:
+624        if isinstance(agg, exp.Alias):
+625            names.append(agg.alias)
+626        else:
+627            """
+628            This case corresponds to aggregations without aliases being used as suffixes
+629            (e.g. col_avg(foo)). We need to unquote identifiers because they're going to
+630            be quoted in the base parser's `_parse_pivot` method, due to `to_identifier`.
+631            Otherwise, we'd end up with `col_avg(`foo`)` (notice the double quotes).
+632            """
+633            agg_all_unquoted = agg.transform(
+634                lambda node: exp.Identifier(this=node.name, quoted=False)
+635                if isinstance(node, exp.Identifier)
+636                else node
+637            )
+638            names.append(agg_all_unquoted.sql(dialect=dialect, normalize_functions="lower"))
+639
+640    return names
 
      
 
 
diff --git a/docs/sqlglot/dialects/drill.html b/docs/sqlglot/dialects/drill.html
index dc9d709..f56558d 100644
--- a/docs/sqlglot/dialects/drill.html
+++ b/docs/sqlglot/dialects/drill.html
@@ -51,6 +51,9 @@
                                     
    • 
                                             normalize_func
                                     
      • 
+                                    
    • 
+                                            can_identify
+                                    
      •
    • @@ -375,6 +378,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -711,6 +772,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/duckdb.html b/docs/sqlglot/dialects/duckdb.html index 62dfecc..87c568d 100644 --- a/docs/sqlglot/dialects/duckdb.html +++ b/docs/sqlglot/dialects/duckdb.html @@ -54,6 +54,9 @@
  • tablesample_sql
    • +
  • + can_identify +
@@ -173,180 +176,183 @@ 88class DuckDB(Dialect): 89 NULL_ORDERING = "nulls_are_last" 90 - 91 class Tokenizer(tokens.Tokenizer): - 92 KEYWORDS = { - 93 **tokens.Tokenizer.KEYWORDS, - 94 "~": TokenType.RLIKE, - 95 ":=": TokenType.EQ, - 96 "//": TokenType.DIV, - 97 "ATTACH": TokenType.COMMAND, - 98 "BINARY": TokenType.VARBINARY, - 99 "BPCHAR": TokenType.TEXT, -100 "BITSTRING": TokenType.BIT, -101 "CHAR": TokenType.TEXT, -102 "CHARACTER VARYING": TokenType.TEXT, -103 "EXCLUDE": TokenType.EXCEPT, -104 "INT1": TokenType.TINYINT, -105 "LOGICAL": TokenType.BOOLEAN, -106 "NUMERIC": TokenType.DOUBLE, -107 "PIVOT_WIDER": TokenType.PIVOT, -108 "SIGNED": TokenType.INT, -109 "STRING": TokenType.VARCHAR, -110 "UBIGINT": TokenType.UBIGINT, -111 "UINTEGER": TokenType.UINT, -112 "USMALLINT": TokenType.USMALLINT, -113 "UTINYINT": TokenType.UTINYINT, -114 } -115 -116 class Parser(parser.Parser): -117 CONCAT_NULL_OUTPUTS_STRING = True + 91 # https://duckdb.org/docs/sql/introduction.html#creating-a-new-table + 92 RESOLVES_IDENTIFIERS_AS_UPPERCASE = None + 93 + 94 class Tokenizer(tokens.Tokenizer): + 95 KEYWORDS = { + 96 **tokens.Tokenizer.KEYWORDS, + 97 "~": TokenType.RLIKE, + 98 ":=": TokenType.EQ, + 99 "//": TokenType.DIV, +100 "ATTACH": TokenType.COMMAND, +101 "BINARY": TokenType.VARBINARY, +102 "BPCHAR": TokenType.TEXT, +103 "BITSTRING": TokenType.BIT, +104 "CHAR": TokenType.TEXT, +105 "CHARACTER VARYING": TokenType.TEXT, +106 "EXCLUDE": TokenType.EXCEPT, +107 "INT1": TokenType.TINYINT, +108 "LOGICAL": TokenType.BOOLEAN, +109 "NUMERIC": TokenType.DOUBLE, +110 "PIVOT_WIDER": TokenType.PIVOT, +111 "SIGNED": TokenType.INT, +112 "STRING": TokenType.VARCHAR, +113 "UBIGINT": TokenType.UBIGINT, +114 "UINTEGER": TokenType.UINT, +115 "USMALLINT": TokenType.USMALLINT, +116 "UTINYINT": TokenType.UTINYINT, +117 } 118 -119 FUNCTIONS = { -120 **parser.Parser.FUNCTIONS, -121 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, -122 "ARRAY_SORT": exp.SortArray.from_arg_list, -123 "ARRAY_REVERSE_SORT": _sort_array_reverse, -124 "DATEDIFF": _parse_date_diff, -125 "DATE_DIFF": _parse_date_diff, -126 "EPOCH": exp.TimeToUnix.from_arg_list, -127 "EPOCH_MS": lambda args: exp.UnixToTime( -128 this=exp.Div(this=seq_get(args, 0), expression=exp.Literal.number(1000)) -129 ), -130 "LIST_REVERSE_SORT": _sort_array_reverse, -131 "LIST_SORT": exp.SortArray.from_arg_list, -132 "LIST_VALUE": exp.Array.from_arg_list, -133 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, -134 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), -135 "STRING_SPLIT": exp.Split.from_arg_list, -136 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -137 "STRING_TO_ARRAY": exp.Split.from_arg_list, -138 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), -139 "STRUCT_PACK": exp.Struct.from_arg_list, -140 "STR_SPLIT": exp.Split.from_arg_list, -141 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, -142 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, -143 "UNNEST": exp.Explode.from_arg_list, -144 } -145 -146 TYPE_TOKENS = { -147 *parser.Parser.TYPE_TOKENS, -148 TokenType.UBIGINT, -149 TokenType.UINT, -150 TokenType.USMALLINT, -151 TokenType.UTINYINT, -152 } -153 -154 def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]: -155 if len(aggregations) == 1: -156 return super()._pivot_column_names(aggregations) -157 return pivot_column_names(aggregations, dialect="duckdb") -158 -159 class Generator(generator.Generator): -160 JOIN_HINTS = False -161 TABLE_HINTS = False -162 LIMIT_FETCH = "LIMIT" -163 STRUCT_DELIMITER = ("(", ")") -164 RENAME_TABLE_WITH_DB = False -165 -166 TRANSFORMS = { -167 **generator.Generator.TRANSFORMS, -168 exp.ApproxDistinct: approx_count_distinct_sql, -169 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) -170 if isinstance(seq_get(e.expressions, 0), exp.Select) -171 else rename_func("LIST_VALUE")(self, e), -172 exp.ArraySize: rename_func("ARRAY_LENGTH"), -173 exp.ArraySort: _array_sort_sql, -174 exp.ArraySum: rename_func("LIST_SUM"), -175 exp.CommentColumnConstraint: no_comment_column_constraint_sql, -176 exp.CurrentDate: lambda self, e: "CURRENT_DATE", -177 exp.CurrentTime: lambda self, e: "CURRENT_TIME", -178 exp.CurrentTimestamp: lambda self, e: "CURRENT_TIMESTAMP", -179 exp.DayOfMonth: rename_func("DAYOFMONTH"), -180 exp.DayOfWeek: rename_func("DAYOFWEEK"), -181 exp.DayOfYear: rename_func("DAYOFYEAR"), -182 exp.DataType: _datatype_sql, -183 exp.DateAdd: _date_delta_sql, -184 exp.DateSub: _date_delta_sql, -185 exp.DateDiff: lambda self, e: self.func( -186 "DATE_DIFF", f"'{e.args.get('unit', 'day')}'", e.expression, e.this -187 ), -188 exp.DateStrToDate: datestrtodate_sql, -189 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.DATEINT_FORMAT}) AS INT)", -190 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.DATEINT_FORMAT}) AS DATE)", -191 exp.Explode: rename_func("UNNEST"), -192 exp.IntDiv: lambda self, e: self.binary(e, "//"), -193 exp.JSONExtract: arrow_json_extract_sql, -194 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -195 exp.JSONBExtract: arrow_json_extract_sql, -196 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, -197 exp.LogicalOr: rename_func("BOOL_OR"), -198 exp.LogicalAnd: rename_func("BOOL_AND"), -199 exp.Properties: no_properties_sql, -200 exp.RegexpExtract: _regexp_extract_sql, -201 exp.RegexpLike: rename_func("REGEXP_MATCHES"), -202 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), -203 exp.SafeDivide: no_safe_divide_sql, -204 exp.Split: rename_func("STR_SPLIT"), -205 exp.SortArray: _sort_array_sql, -206 exp.StrPosition: str_position_sql, -207 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", -208 exp.StrToTime: str_to_time_sql, -209 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", -210 exp.Struct: _struct_sql, -211 exp.TimestampTrunc: timestamptrunc_sql, -212 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", -213 exp.TimeStrToTime: timestrtotime_sql, -214 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", -215 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", -216 exp.TimeToUnix: rename_func("EPOCH"), -217 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", -218 exp.TsOrDsAdd: _ts_or_ds_add_sql, -219 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), -220 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", -221 exp.UnixToTime: rename_func("TO_TIMESTAMP"), -222 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", -223 exp.WeekOfYear: rename_func("WEEKOFYEAR"), -224 } -225 -226 TYPE_MAPPING = { -227 **generator.Generator.TYPE_MAPPING, -228 exp.DataType.Type.BINARY: "BLOB", -229 exp.DataType.Type.CHAR: "TEXT", -230 exp.DataType.Type.FLOAT: "REAL", -231 exp.DataType.Type.NCHAR: "TEXT", -232 exp.DataType.Type.NVARCHAR: "TEXT", -233 exp.DataType.Type.UINT: "UINTEGER", -234 exp.DataType.Type.VARBINARY: "BLOB", -235 exp.DataType.Type.VARCHAR: "TEXT", -236 } -237 -238 STAR_MAPPING = {**generator.Generator.STAR_MAPPING, "except": "EXCLUDE"} -239 -240 UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Paren) -241 -242 PROPERTIES_LOCATION = { -243 **generator.Generator.PROPERTIES_LOCATION, -244 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -245 } -246 -247 def interval_sql(self, expression: exp.Interval) -> str: -248 multiplier: t.Optional[int] = None -249 unit = expression.text("unit").lower() -250 -251 if unit.startswith("week"): -252 multiplier = 7 -253 if unit.startswith("quarter"): -254 multiplier = 90 -255 -256 if multiplier: -257 return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('day')))})" +119 class Parser(parser.Parser): +120 CONCAT_NULL_OUTPUTS_STRING = True +121 +122 FUNCTIONS = { +123 **parser.Parser.FUNCTIONS, +124 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, +125 "ARRAY_SORT": exp.SortArray.from_arg_list, +126 "ARRAY_REVERSE_SORT": _sort_array_reverse, +127 "DATEDIFF": _parse_date_diff, +128 "DATE_DIFF": _parse_date_diff, +129 "EPOCH": exp.TimeToUnix.from_arg_list, +130 "EPOCH_MS": lambda args: exp.UnixToTime( +131 this=exp.Div(this=seq_get(args, 0), expression=exp.Literal.number(1000)) +132 ), +133 "LIST_REVERSE_SORT": _sort_array_reverse, +134 "LIST_SORT": exp.SortArray.from_arg_list, +135 "LIST_VALUE": exp.Array.from_arg_list, +136 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, +137 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), +138 "STRING_SPLIT": exp.Split.from_arg_list, +139 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +140 "STRING_TO_ARRAY": exp.Split.from_arg_list, +141 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), +142 "STRUCT_PACK": exp.Struct.from_arg_list, +143 "STR_SPLIT": exp.Split.from_arg_list, +144 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, +145 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, +146 "UNNEST": exp.Explode.from_arg_list, +147 } +148 +149 TYPE_TOKENS = { +150 *parser.Parser.TYPE_TOKENS, +151 TokenType.UBIGINT, +152 TokenType.UINT, +153 TokenType.USMALLINT, +154 TokenType.UTINYINT, +155 } +156 +157 def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]: +158 if len(aggregations) == 1: +159 return super()._pivot_column_names(aggregations) +160 return pivot_column_names(aggregations, dialect="duckdb") +161 +162 class Generator(generator.Generator): +163 JOIN_HINTS = False +164 TABLE_HINTS = False +165 LIMIT_FETCH = "LIMIT" +166 STRUCT_DELIMITER = ("(", ")") +167 RENAME_TABLE_WITH_DB = False +168 +169 TRANSFORMS = { +170 **generator.Generator.TRANSFORMS, +171 exp.ApproxDistinct: approx_count_distinct_sql, +172 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) +173 if e.expressions and e.expressions[0].find(exp.Select) +174 else rename_func("LIST_VALUE")(self, e), +175 exp.ArraySize: rename_func("ARRAY_LENGTH"), +176 exp.ArraySort: _array_sort_sql, +177 exp.ArraySum: rename_func("LIST_SUM"), +178 exp.CommentColumnConstraint: no_comment_column_constraint_sql, +179 exp.CurrentDate: lambda self, e: "CURRENT_DATE", +180 exp.CurrentTime: lambda self, e: "CURRENT_TIME", +181 exp.CurrentTimestamp: lambda self, e: "CURRENT_TIMESTAMP", +182 exp.DayOfMonth: rename_func("DAYOFMONTH"), +183 exp.DayOfWeek: rename_func("DAYOFWEEK"), +184 exp.DayOfYear: rename_func("DAYOFYEAR"), +185 exp.DataType: _datatype_sql, +186 exp.DateAdd: _date_delta_sql, +187 exp.DateSub: _date_delta_sql, +188 exp.DateDiff: lambda self, e: self.func( +189 "DATE_DIFF", f"'{e.args.get('unit', 'day')}'", e.expression, e.this +190 ), +191 exp.DateStrToDate: datestrtodate_sql, +192 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.DATEINT_FORMAT}) AS INT)", +193 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.DATEINT_FORMAT}) AS DATE)", +194 exp.Explode: rename_func("UNNEST"), +195 exp.IntDiv: lambda self, e: self.binary(e, "//"), +196 exp.JSONExtract: arrow_json_extract_sql, +197 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +198 exp.JSONBExtract: arrow_json_extract_sql, +199 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, +200 exp.LogicalOr: rename_func("BOOL_OR"), +201 exp.LogicalAnd: rename_func("BOOL_AND"), +202 exp.Properties: no_properties_sql, +203 exp.RegexpExtract: _regexp_extract_sql, +204 exp.RegexpLike: rename_func("REGEXP_MATCHES"), +205 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), +206 exp.SafeDivide: no_safe_divide_sql, +207 exp.Split: rename_func("STR_SPLIT"), +208 exp.SortArray: _sort_array_sql, +209 exp.StrPosition: str_position_sql, +210 exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)", +211 exp.StrToTime: str_to_time_sql, +212 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", +213 exp.Struct: _struct_sql, +214 exp.TimestampTrunc: timestamptrunc_sql, +215 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", +216 exp.TimeStrToTime: timestrtotime_sql, +217 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", +218 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", +219 exp.TimeToUnix: rename_func("EPOCH"), +220 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", +221 exp.TsOrDsAdd: _ts_or_ds_add_sql, +222 exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"), +223 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", +224 exp.UnixToTime: rename_func("TO_TIMESTAMP"), +225 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", +226 exp.WeekOfYear: rename_func("WEEKOFYEAR"), +227 } +228 +229 TYPE_MAPPING = { +230 **generator.Generator.TYPE_MAPPING, +231 exp.DataType.Type.BINARY: "BLOB", +232 exp.DataType.Type.CHAR: "TEXT", +233 exp.DataType.Type.FLOAT: "REAL", +234 exp.DataType.Type.NCHAR: "TEXT", +235 exp.DataType.Type.NVARCHAR: "TEXT", +236 exp.DataType.Type.UINT: "UINTEGER", +237 exp.DataType.Type.VARBINARY: "BLOB", +238 exp.DataType.Type.VARCHAR: "TEXT", +239 } +240 +241 STAR_MAPPING = {**generator.Generator.STAR_MAPPING, "except": "EXCLUDE"} +242 +243 UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Paren) +244 +245 PROPERTIES_LOCATION = { +246 **generator.Generator.PROPERTIES_LOCATION, +247 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +248 } +249 +250 def interval_sql(self, expression: exp.Interval) -> str: +251 multiplier: t.Optional[int] = None +252 unit = expression.text("unit").lower() +253 +254 if unit.startswith("week"): +255 multiplier = 7 +256 if unit.startswith("quarter"): +257 multiplier = 90 258 -259 return super().interval_sql(expression) -260 -261 def tablesample_sql( -262 self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS " -263 ) -> str: -264 return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep) +259 if multiplier: +260 return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('day')))})" +261 +262 return super().interval_sql(expression) +263 +264 def tablesample_sql( +265 self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS " +266 ) -> str: +267 return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep) @@ -365,180 +371,183 @@ 
 89class DuckDB(Dialect):
  90    NULL_ORDERING = "nulls_are_last"
  91
- 92    class Tokenizer(tokens.Tokenizer):
- 93        KEYWORDS = {
- 94            **tokens.Tokenizer.KEYWORDS,
- 95            "~": TokenType.RLIKE,
- 96            ":=": TokenType.EQ,
- 97            "//": TokenType.DIV,
- 98            "ATTACH": TokenType.COMMAND,
- 99            "BINARY": TokenType.VARBINARY,
-100            "BPCHAR": TokenType.TEXT,
-101            "BITSTRING": TokenType.BIT,
-102            "CHAR": TokenType.TEXT,
-103            "CHARACTER VARYING": TokenType.TEXT,
-104            "EXCLUDE": TokenType.EXCEPT,
-105            "INT1": TokenType.TINYINT,
-106            "LOGICAL": TokenType.BOOLEAN,
-107            "NUMERIC": TokenType.DOUBLE,
-108            "PIVOT_WIDER": TokenType.PIVOT,
-109            "SIGNED": TokenType.INT,
-110            "STRING": TokenType.VARCHAR,
-111            "UBIGINT": TokenType.UBIGINT,
-112            "UINTEGER": TokenType.UINT,
-113            "USMALLINT": TokenType.USMALLINT,
-114            "UTINYINT": TokenType.UTINYINT,
-115        }
-116
-117    class Parser(parser.Parser):
-118        CONCAT_NULL_OUTPUTS_STRING = True
+ 92    # https://duckdb.org/docs/sql/introduction.html#creating-a-new-table
+ 93    RESOLVES_IDENTIFIERS_AS_UPPERCASE = None
+ 94
+ 95    class Tokenizer(tokens.Tokenizer):
+ 96        KEYWORDS = {
+ 97            **tokens.Tokenizer.KEYWORDS,
+ 98            "~": TokenType.RLIKE,
+ 99            ":=": TokenType.EQ,
+100            "//": TokenType.DIV,
+101            "ATTACH": TokenType.COMMAND,
+102            "BINARY": TokenType.VARBINARY,
+103            "BPCHAR": TokenType.TEXT,
+104            "BITSTRING": TokenType.BIT,
+105            "CHAR": TokenType.TEXT,
+106            "CHARACTER VARYING": TokenType.TEXT,
+107            "EXCLUDE": TokenType.EXCEPT,
+108            "INT1": TokenType.TINYINT,
+109            "LOGICAL": TokenType.BOOLEAN,
+110            "NUMERIC": TokenType.DOUBLE,
+111            "PIVOT_WIDER": TokenType.PIVOT,
+112            "SIGNED": TokenType.INT,
+113            "STRING": TokenType.VARCHAR,
+114            "UBIGINT": TokenType.UBIGINT,
+115            "UINTEGER": TokenType.UINT,
+116            "USMALLINT": TokenType.USMALLINT,
+117            "UTINYINT": TokenType.UTINYINT,
+118        }
 119
-120        FUNCTIONS = {
-121            **parser.Parser.FUNCTIONS,
-122            "ARRAY_LENGTH": exp.ArraySize.from_arg_list,
-123            "ARRAY_SORT": exp.SortArray.from_arg_list,
-124            "ARRAY_REVERSE_SORT": _sort_array_reverse,
-125            "DATEDIFF": _parse_date_diff,
-126            "DATE_DIFF": _parse_date_diff,
-127            "EPOCH": exp.TimeToUnix.from_arg_list,
-128            "EPOCH_MS": lambda args: exp.UnixToTime(
-129                this=exp.Div(this=seq_get(args, 0), expression=exp.Literal.number(1000))
-130            ),
-131            "LIST_REVERSE_SORT": _sort_array_reverse,
-132            "LIST_SORT": exp.SortArray.from_arg_list,
-133            "LIST_VALUE": exp.Array.from_arg_list,
-134            "REGEXP_MATCHES": exp.RegexpLike.from_arg_list,
-135            "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"),
-136            "STRING_SPLIT": exp.Split.from_arg_list,
-137            "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
-138            "STRING_TO_ARRAY": exp.Split.from_arg_list,
-139            "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"),
-140            "STRUCT_PACK": exp.Struct.from_arg_list,
-141            "STR_SPLIT": exp.Split.from_arg_list,
-142            "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
-143            "TO_TIMESTAMP": exp.UnixToTime.from_arg_list,
-144            "UNNEST": exp.Explode.from_arg_list,
-145        }
-146
-147        TYPE_TOKENS = {
-148            *parser.Parser.TYPE_TOKENS,
-149            TokenType.UBIGINT,
-150            TokenType.UINT,
-151            TokenType.USMALLINT,
-152            TokenType.UTINYINT,
-153        }
-154
-155        def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
-156            if len(aggregations) == 1:
-157                return super()._pivot_column_names(aggregations)
-158            return pivot_column_names(aggregations, dialect="duckdb")
-159
-160    class Generator(generator.Generator):
-161        JOIN_HINTS = False
-162        TABLE_HINTS = False
-163        LIMIT_FETCH = "LIMIT"
-164        STRUCT_DELIMITER = ("(", ")")
-165        RENAME_TABLE_WITH_DB = False
-166
-167        TRANSFORMS = {
-168            **generator.Generator.TRANSFORMS,
-169            exp.ApproxDistinct: approx_count_distinct_sql,
-170            exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0])
-171            if isinstance(seq_get(e.expressions, 0), exp.Select)
-172            else rename_func("LIST_VALUE")(self, e),
-173            exp.ArraySize: rename_func("ARRAY_LENGTH"),
-174            exp.ArraySort: _array_sort_sql,
-175            exp.ArraySum: rename_func("LIST_SUM"),
-176            exp.CommentColumnConstraint: no_comment_column_constraint_sql,
-177            exp.CurrentDate: lambda self, e: "CURRENT_DATE",
-178            exp.CurrentTime: lambda self, e: "CURRENT_TIME",
-179            exp.CurrentTimestamp: lambda self, e: "CURRENT_TIMESTAMP",
-180            exp.DayOfMonth: rename_func("DAYOFMONTH"),
-181            exp.DayOfWeek: rename_func("DAYOFWEEK"),
-182            exp.DayOfYear: rename_func("DAYOFYEAR"),
-183            exp.DataType: _datatype_sql,
-184            exp.DateAdd: _date_delta_sql,
-185            exp.DateSub: _date_delta_sql,
-186            exp.DateDiff: lambda self, e: self.func(
-187                "DATE_DIFF", f"'{e.args.get('unit', 'day')}'", e.expression, e.this
-188            ),
-189            exp.DateStrToDate: datestrtodate_sql,
-190            exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.DATEINT_FORMAT}) AS INT)",
-191            exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.DATEINT_FORMAT}) AS DATE)",
-192            exp.Explode: rename_func("UNNEST"),
-193            exp.IntDiv: lambda self, e: self.binary(e, "//"),
-194            exp.JSONExtract: arrow_json_extract_sql,
-195            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-196            exp.JSONBExtract: arrow_json_extract_sql,
-197            exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
-198            exp.LogicalOr: rename_func("BOOL_OR"),
-199            exp.LogicalAnd: rename_func("BOOL_AND"),
-200            exp.Properties: no_properties_sql,
-201            exp.RegexpExtract: _regexp_extract_sql,
-202            exp.RegexpLike: rename_func("REGEXP_MATCHES"),
-203            exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"),
-204            exp.SafeDivide: no_safe_divide_sql,
-205            exp.Split: rename_func("STR_SPLIT"),
-206            exp.SortArray: _sort_array_sql,
-207            exp.StrPosition: str_position_sql,
-208            exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)",
-209            exp.StrToTime: str_to_time_sql,
-210            exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))",
-211            exp.Struct: _struct_sql,
-212            exp.TimestampTrunc: timestamptrunc_sql,
-213            exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)",
-214            exp.TimeStrToTime: timestrtotime_sql,
-215            exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))",
-216            exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})",
-217            exp.TimeToUnix: rename_func("EPOCH"),
-218            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)",
-219            exp.TsOrDsAdd: _ts_or_ds_add_sql,
-220            exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"),
-221            exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})",
-222            exp.UnixToTime: rename_func("TO_TIMESTAMP"),
-223            exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)",
-224            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
-225        }
-226
-227        TYPE_MAPPING = {
-228            **generator.Generator.TYPE_MAPPING,
-229            exp.DataType.Type.BINARY: "BLOB",
-230            exp.DataType.Type.CHAR: "TEXT",
-231            exp.DataType.Type.FLOAT: "REAL",
-232            exp.DataType.Type.NCHAR: "TEXT",
-233            exp.DataType.Type.NVARCHAR: "TEXT",
-234            exp.DataType.Type.UINT: "UINTEGER",
-235            exp.DataType.Type.VARBINARY: "BLOB",
-236            exp.DataType.Type.VARCHAR: "TEXT",
-237        }
-238
-239        STAR_MAPPING = {**generator.Generator.STAR_MAPPING, "except": "EXCLUDE"}
-240
-241        UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Paren)
-242
-243        PROPERTIES_LOCATION = {
-244            **generator.Generator.PROPERTIES_LOCATION,
-245            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-246        }
-247
-248        def interval_sql(self, expression: exp.Interval) -> str:
-249            multiplier: t.Optional[int] = None
-250            unit = expression.text("unit").lower()
-251
-252            if unit.startswith("week"):
-253                multiplier = 7
-254            if unit.startswith("quarter"):
-255                multiplier = 90
-256
-257            if multiplier:
-258                return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('day')))})"
+120    class Parser(parser.Parser):
+121        CONCAT_NULL_OUTPUTS_STRING = True
+122
+123        FUNCTIONS = {
+124            **parser.Parser.FUNCTIONS,
+125            "ARRAY_LENGTH": exp.ArraySize.from_arg_list,
+126            "ARRAY_SORT": exp.SortArray.from_arg_list,
+127            "ARRAY_REVERSE_SORT": _sort_array_reverse,
+128            "DATEDIFF": _parse_date_diff,
+129            "DATE_DIFF": _parse_date_diff,
+130            "EPOCH": exp.TimeToUnix.from_arg_list,
+131            "EPOCH_MS": lambda args: exp.UnixToTime(
+132                this=exp.Div(this=seq_get(args, 0), expression=exp.Literal.number(1000))
+133            ),
+134            "LIST_REVERSE_SORT": _sort_array_reverse,
+135            "LIST_SORT": exp.SortArray.from_arg_list,
+136            "LIST_VALUE": exp.Array.from_arg_list,
+137            "REGEXP_MATCHES": exp.RegexpLike.from_arg_list,
+138            "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"),
+139            "STRING_SPLIT": exp.Split.from_arg_list,
+140            "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
+141            "STRING_TO_ARRAY": exp.Split.from_arg_list,
+142            "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"),
+143            "STRUCT_PACK": exp.Struct.from_arg_list,
+144            "STR_SPLIT": exp.Split.from_arg_list,
+145            "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
+146            "TO_TIMESTAMP": exp.UnixToTime.from_arg_list,
+147            "UNNEST": exp.Explode.from_arg_list,
+148        }
+149
+150        TYPE_TOKENS = {
+151            *parser.Parser.TYPE_TOKENS,
+152            TokenType.UBIGINT,
+153            TokenType.UINT,
+154            TokenType.USMALLINT,
+155            TokenType.UTINYINT,
+156        }
+157
+158        def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
+159            if len(aggregations) == 1:
+160                return super()._pivot_column_names(aggregations)
+161            return pivot_column_names(aggregations, dialect="duckdb")
+162
+163    class Generator(generator.Generator):
+164        JOIN_HINTS = False
+165        TABLE_HINTS = False
+166        LIMIT_FETCH = "LIMIT"
+167        STRUCT_DELIMITER = ("(", ")")
+168        RENAME_TABLE_WITH_DB = False
+169
+170        TRANSFORMS = {
+171            **generator.Generator.TRANSFORMS,
+172            exp.ApproxDistinct: approx_count_distinct_sql,
+173            exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0])
+174            if e.expressions and e.expressions[0].find(exp.Select)
+175            else rename_func("LIST_VALUE")(self, e),
+176            exp.ArraySize: rename_func("ARRAY_LENGTH"),
+177            exp.ArraySort: _array_sort_sql,
+178            exp.ArraySum: rename_func("LIST_SUM"),
+179            exp.CommentColumnConstraint: no_comment_column_constraint_sql,
+180            exp.CurrentDate: lambda self, e: "CURRENT_DATE",
+181            exp.CurrentTime: lambda self, e: "CURRENT_TIME",
+182            exp.CurrentTimestamp: lambda self, e: "CURRENT_TIMESTAMP",
+183            exp.DayOfMonth: rename_func("DAYOFMONTH"),
+184            exp.DayOfWeek: rename_func("DAYOFWEEK"),
+185            exp.DayOfYear: rename_func("DAYOFYEAR"),
+186            exp.DataType: _datatype_sql,
+187            exp.DateAdd: _date_delta_sql,
+188            exp.DateSub: _date_delta_sql,
+189            exp.DateDiff: lambda self, e: self.func(
+190                "DATE_DIFF", f"'{e.args.get('unit', 'day')}'", e.expression, e.this
+191            ),
+192            exp.DateStrToDate: datestrtodate_sql,
+193            exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.DATEINT_FORMAT}) AS INT)",
+194            exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.DATEINT_FORMAT}) AS DATE)",
+195            exp.Explode: rename_func("UNNEST"),
+196            exp.IntDiv: lambda self, e: self.binary(e, "//"),
+197            exp.JSONExtract: arrow_json_extract_sql,
+198            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+199            exp.JSONBExtract: arrow_json_extract_sql,
+200            exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
+201            exp.LogicalOr: rename_func("BOOL_OR"),
+202            exp.LogicalAnd: rename_func("BOOL_AND"),
+203            exp.Properties: no_properties_sql,
+204            exp.RegexpExtract: _regexp_extract_sql,
+205            exp.RegexpLike: rename_func("REGEXP_MATCHES"),
+206            exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"),
+207            exp.SafeDivide: no_safe_divide_sql,
+208            exp.Split: rename_func("STR_SPLIT"),
+209            exp.SortArray: _sort_array_sql,
+210            exp.StrPosition: str_position_sql,
+211            exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)",
+212            exp.StrToTime: str_to_time_sql,
+213            exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))",
+214            exp.Struct: _struct_sql,
+215            exp.TimestampTrunc: timestamptrunc_sql,
+216            exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)",
+217            exp.TimeStrToTime: timestrtotime_sql,
+218            exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))",
+219            exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})",
+220            exp.TimeToUnix: rename_func("EPOCH"),
+221            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)",
+222            exp.TsOrDsAdd: _ts_or_ds_add_sql,
+223            exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"),
+224            exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})",
+225            exp.UnixToTime: rename_func("TO_TIMESTAMP"),
+226            exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)",
+227            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
+228        }
+229
+230        TYPE_MAPPING = {
+231            **generator.Generator.TYPE_MAPPING,
+232            exp.DataType.Type.BINARY: "BLOB",
+233            exp.DataType.Type.CHAR: "TEXT",
+234            exp.DataType.Type.FLOAT: "REAL",
+235            exp.DataType.Type.NCHAR: "TEXT",
+236            exp.DataType.Type.NVARCHAR: "TEXT",
+237            exp.DataType.Type.UINT: "UINTEGER",
+238            exp.DataType.Type.VARBINARY: "BLOB",
+239            exp.DataType.Type.VARCHAR: "TEXT",
+240        }
+241
+242        STAR_MAPPING = {**generator.Generator.STAR_MAPPING, "except": "EXCLUDE"}
+243
+244        UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Paren)
+245
+246        PROPERTIES_LOCATION = {
+247            **generator.Generator.PROPERTIES_LOCATION,
+248            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+249        }
+250
+251        def interval_sql(self, expression: exp.Interval) -> str:
+252            multiplier: t.Optional[int] = None
+253            unit = expression.text("unit").lower()
+254
+255            if unit.startswith("week"):
+256                multiplier = 7
+257            if unit.startswith("quarter"):
+258                multiplier = 90
 259
-260            return super().interval_sql(expression)
-261
-262        def tablesample_sql(
-263            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
-264        ) -> str:
-265            return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
+260            if multiplier:
+261                return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('day')))})"
+262
+263            return super().interval_sql(expression)
+264
+265        def tablesample_sql(
+266            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
+267        ) -> str:
+268            return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
@@ -550,6 +559,10 @@ - 
 92    class Tokenizer(tokens.Tokenizer):
- 93        KEYWORDS = {
- 94            **tokens.Tokenizer.KEYWORDS,
- 95            "~": TokenType.RLIKE,
- 96            ":=": TokenType.EQ,
- 97            "//": TokenType.DIV,
- 98            "ATTACH": TokenType.COMMAND,
- 99            "BINARY": TokenType.VARBINARY,
-100            "BPCHAR": TokenType.TEXT,
-101            "BITSTRING": TokenType.BIT,
-102            "CHAR": TokenType.TEXT,
-103            "CHARACTER VARYING": TokenType.TEXT,
-104            "EXCLUDE": TokenType.EXCEPT,
-105            "INT1": TokenType.TINYINT,
-106            "LOGICAL": TokenType.BOOLEAN,
-107            "NUMERIC": TokenType.DOUBLE,
-108            "PIVOT_WIDER": TokenType.PIVOT,
-109            "SIGNED": TokenType.INT,
-110            "STRING": TokenType.VARCHAR,
-111            "UBIGINT": TokenType.UBIGINT,
-112            "UINTEGER": TokenType.UINT,
-113            "USMALLINT": TokenType.USMALLINT,
-114            "UTINYINT": TokenType.UTINYINT,
-115        }
+            
 95    class Tokenizer(tokens.Tokenizer):
+ 96        KEYWORDS = {
+ 97            **tokens.Tokenizer.KEYWORDS,
+ 98            "~": TokenType.RLIKE,
+ 99            ":=": TokenType.EQ,
+100            "//": TokenType.DIV,
+101            "ATTACH": TokenType.COMMAND,
+102            "BINARY": TokenType.VARBINARY,
+103            "BPCHAR": TokenType.TEXT,
+104            "BITSTRING": TokenType.BIT,
+105            "CHAR": TokenType.TEXT,
+106            "CHARACTER VARYING": TokenType.TEXT,
+107            "EXCLUDE": TokenType.EXCEPT,
+108            "INT1": TokenType.TINYINT,
+109            "LOGICAL": TokenType.BOOLEAN,
+110            "NUMERIC": TokenType.DOUBLE,
+111            "PIVOT_WIDER": TokenType.PIVOT,
+112            "SIGNED": TokenType.INT,
+113            "STRING": TokenType.VARCHAR,
+114            "UBIGINT": TokenType.UBIGINT,
+115            "UINTEGER": TokenType.UINT,
+116            "USMALLINT": TokenType.USMALLINT,
+117            "UTINYINT": TokenType.UTINYINT,
+118        }
 

 
 
@@ -625,48 +638,48 @@
- 
117    class Parser(parser.Parser):
-118        CONCAT_NULL_OUTPUTS_STRING = True
-119
-120        FUNCTIONS = {
-121            **parser.Parser.FUNCTIONS,
-122            "ARRAY_LENGTH": exp.ArraySize.from_arg_list,
-123            "ARRAY_SORT": exp.SortArray.from_arg_list,
-124            "ARRAY_REVERSE_SORT": _sort_array_reverse,
-125            "DATEDIFF": _parse_date_diff,
-126            "DATE_DIFF": _parse_date_diff,
-127            "EPOCH": exp.TimeToUnix.from_arg_list,
-128            "EPOCH_MS": lambda args: exp.UnixToTime(
-129                this=exp.Div(this=seq_get(args, 0), expression=exp.Literal.number(1000))
-130            ),
-131            "LIST_REVERSE_SORT": _sort_array_reverse,
-132            "LIST_SORT": exp.SortArray.from_arg_list,
-133            "LIST_VALUE": exp.Array.from_arg_list,
-134            "REGEXP_MATCHES": exp.RegexpLike.from_arg_list,
-135            "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"),
-136            "STRING_SPLIT": exp.Split.from_arg_list,
-137            "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
-138            "STRING_TO_ARRAY": exp.Split.from_arg_list,
-139            "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"),
-140            "STRUCT_PACK": exp.Struct.from_arg_list,
-141            "STR_SPLIT": exp.Split.from_arg_list,
-142            "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
-143            "TO_TIMESTAMP": exp.UnixToTime.from_arg_list,
-144            "UNNEST": exp.Explode.from_arg_list,
-145        }
-146
-147        TYPE_TOKENS = {
-148            *parser.Parser.TYPE_TOKENS,
-149            TokenType.UBIGINT,
-150            TokenType.UINT,
-151            TokenType.USMALLINT,
-152            TokenType.UTINYINT,
-153        }
-154
-155        def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
-156            if len(aggregations) == 1:
-157                return super()._pivot_column_names(aggregations)
-158            return pivot_column_names(aggregations, dialect="duckdb")
+            
120    class Parser(parser.Parser):
+121        CONCAT_NULL_OUTPUTS_STRING = True
+122
+123        FUNCTIONS = {
+124            **parser.Parser.FUNCTIONS,
+125            "ARRAY_LENGTH": exp.ArraySize.from_arg_list,
+126            "ARRAY_SORT": exp.SortArray.from_arg_list,
+127            "ARRAY_REVERSE_SORT": _sort_array_reverse,
+128            "DATEDIFF": _parse_date_diff,
+129            "DATE_DIFF": _parse_date_diff,
+130            "EPOCH": exp.TimeToUnix.from_arg_list,
+131            "EPOCH_MS": lambda args: exp.UnixToTime(
+132                this=exp.Div(this=seq_get(args, 0), expression=exp.Literal.number(1000))
+133            ),
+134            "LIST_REVERSE_SORT": _sort_array_reverse,
+135            "LIST_SORT": exp.SortArray.from_arg_list,
+136            "LIST_VALUE": exp.Array.from_arg_list,
+137            "REGEXP_MATCHES": exp.RegexpLike.from_arg_list,
+138            "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"),
+139            "STRING_SPLIT": exp.Split.from_arg_list,
+140            "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
+141            "STRING_TO_ARRAY": exp.Split.from_arg_list,
+142            "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"),
+143            "STRUCT_PACK": exp.Struct.from_arg_list,
+144            "STR_SPLIT": exp.Split.from_arg_list,
+145            "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
+146            "TO_TIMESTAMP": exp.UnixToTime.from_arg_list,
+147            "UNNEST": exp.Explode.from_arg_list,
+148        }
+149
+150        TYPE_TOKENS = {
+151            *parser.Parser.TYPE_TOKENS,
+152            TokenType.UBIGINT,
+153            TokenType.UINT,
+154            TokenType.USMALLINT,
+155            TokenType.UTINYINT,
+156        }
+157
+158        def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
+159            if len(aggregations) == 1:
+160                return super()._pivot_column_names(aggregations)
+161            return pivot_column_names(aggregations, dialect="duckdb")
 

 
 
@@ -715,112 +728,112 @@ Default: 3
- 
160    class Generator(generator.Generator):
-161        JOIN_HINTS = False
-162        TABLE_HINTS = False
-163        LIMIT_FETCH = "LIMIT"
-164        STRUCT_DELIMITER = ("(", ")")
-165        RENAME_TABLE_WITH_DB = False
-166
-167        TRANSFORMS = {
-168            **generator.Generator.TRANSFORMS,
-169            exp.ApproxDistinct: approx_count_distinct_sql,
-170            exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0])
-171            if isinstance(seq_get(e.expressions, 0), exp.Select)
-172            else rename_func("LIST_VALUE")(self, e),
-173            exp.ArraySize: rename_func("ARRAY_LENGTH"),
-174            exp.ArraySort: _array_sort_sql,
-175            exp.ArraySum: rename_func("LIST_SUM"),
-176            exp.CommentColumnConstraint: no_comment_column_constraint_sql,
-177            exp.CurrentDate: lambda self, e: "CURRENT_DATE",
-178            exp.CurrentTime: lambda self, e: "CURRENT_TIME",
-179            exp.CurrentTimestamp: lambda self, e: "CURRENT_TIMESTAMP",
-180            exp.DayOfMonth: rename_func("DAYOFMONTH"),
-181            exp.DayOfWeek: rename_func("DAYOFWEEK"),
-182            exp.DayOfYear: rename_func("DAYOFYEAR"),
-183            exp.DataType: _datatype_sql,
-184            exp.DateAdd: _date_delta_sql,
-185            exp.DateSub: _date_delta_sql,
-186            exp.DateDiff: lambda self, e: self.func(
-187                "DATE_DIFF", f"'{e.args.get('unit', 'day')}'", e.expression, e.this
-188            ),
-189            exp.DateStrToDate: datestrtodate_sql,
-190            exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.DATEINT_FORMAT}) AS INT)",
-191            exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.DATEINT_FORMAT}) AS DATE)",
-192            exp.Explode: rename_func("UNNEST"),
-193            exp.IntDiv: lambda self, e: self.binary(e, "//"),
-194            exp.JSONExtract: arrow_json_extract_sql,
-195            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-196            exp.JSONBExtract: arrow_json_extract_sql,
-197            exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
-198            exp.LogicalOr: rename_func("BOOL_OR"),
-199            exp.LogicalAnd: rename_func("BOOL_AND"),
-200            exp.Properties: no_properties_sql,
-201            exp.RegexpExtract: _regexp_extract_sql,
-202            exp.RegexpLike: rename_func("REGEXP_MATCHES"),
-203            exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"),
-204            exp.SafeDivide: no_safe_divide_sql,
-205            exp.Split: rename_func("STR_SPLIT"),
-206            exp.SortArray: _sort_array_sql,
-207            exp.StrPosition: str_position_sql,
-208            exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)",
-209            exp.StrToTime: str_to_time_sql,
-210            exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))",
-211            exp.Struct: _struct_sql,
-212            exp.TimestampTrunc: timestamptrunc_sql,
-213            exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)",
-214            exp.TimeStrToTime: timestrtotime_sql,
-215            exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))",
-216            exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})",
-217            exp.TimeToUnix: rename_func("EPOCH"),
-218            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)",
-219            exp.TsOrDsAdd: _ts_or_ds_add_sql,
-220            exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"),
-221            exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})",
-222            exp.UnixToTime: rename_func("TO_TIMESTAMP"),
-223            exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)",
-224            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
-225        }
-226
-227        TYPE_MAPPING = {
-228            **generator.Generator.TYPE_MAPPING,
-229            exp.DataType.Type.BINARY: "BLOB",
-230            exp.DataType.Type.CHAR: "TEXT",
-231            exp.DataType.Type.FLOAT: "REAL",
-232            exp.DataType.Type.NCHAR: "TEXT",
-233            exp.DataType.Type.NVARCHAR: "TEXT",
-234            exp.DataType.Type.UINT: "UINTEGER",
-235            exp.DataType.Type.VARBINARY: "BLOB",
-236            exp.DataType.Type.VARCHAR: "TEXT",
-237        }
-238
-239        STAR_MAPPING = {**generator.Generator.STAR_MAPPING, "except": "EXCLUDE"}
-240
-241        UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Paren)
-242
-243        PROPERTIES_LOCATION = {
-244            **generator.Generator.PROPERTIES_LOCATION,
-245            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-246        }
-247
-248        def interval_sql(self, expression: exp.Interval) -> str:
-249            multiplier: t.Optional[int] = None
-250            unit = expression.text("unit").lower()
-251
-252            if unit.startswith("week"):
-253                multiplier = 7
-254            if unit.startswith("quarter"):
-255                multiplier = 90
-256
-257            if multiplier:
-258                return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('day')))})"
+            
163    class Generator(generator.Generator):
+164        JOIN_HINTS = False
+165        TABLE_HINTS = False
+166        LIMIT_FETCH = "LIMIT"
+167        STRUCT_DELIMITER = ("(", ")")
+168        RENAME_TABLE_WITH_DB = False
+169
+170        TRANSFORMS = {
+171            **generator.Generator.TRANSFORMS,
+172            exp.ApproxDistinct: approx_count_distinct_sql,
+173            exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0])
+174            if e.expressions and e.expressions[0].find(exp.Select)
+175            else rename_func("LIST_VALUE")(self, e),
+176            exp.ArraySize: rename_func("ARRAY_LENGTH"),
+177            exp.ArraySort: _array_sort_sql,
+178            exp.ArraySum: rename_func("LIST_SUM"),
+179            exp.CommentColumnConstraint: no_comment_column_constraint_sql,
+180            exp.CurrentDate: lambda self, e: "CURRENT_DATE",
+181            exp.CurrentTime: lambda self, e: "CURRENT_TIME",
+182            exp.CurrentTimestamp: lambda self, e: "CURRENT_TIMESTAMP",
+183            exp.DayOfMonth: rename_func("DAYOFMONTH"),
+184            exp.DayOfWeek: rename_func("DAYOFWEEK"),
+185            exp.DayOfYear: rename_func("DAYOFYEAR"),
+186            exp.DataType: _datatype_sql,
+187            exp.DateAdd: _date_delta_sql,
+188            exp.DateSub: _date_delta_sql,
+189            exp.DateDiff: lambda self, e: self.func(
+190                "DATE_DIFF", f"'{e.args.get('unit', 'day')}'", e.expression, e.this
+191            ),
+192            exp.DateStrToDate: datestrtodate_sql,
+193            exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.DATEINT_FORMAT}) AS INT)",
+194            exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.DATEINT_FORMAT}) AS DATE)",
+195            exp.Explode: rename_func("UNNEST"),
+196            exp.IntDiv: lambda self, e: self.binary(e, "//"),
+197            exp.JSONExtract: arrow_json_extract_sql,
+198            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+199            exp.JSONBExtract: arrow_json_extract_sql,
+200            exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
+201            exp.LogicalOr: rename_func("BOOL_OR"),
+202            exp.LogicalAnd: rename_func("BOOL_AND"),
+203            exp.Properties: no_properties_sql,
+204            exp.RegexpExtract: _regexp_extract_sql,
+205            exp.RegexpLike: rename_func("REGEXP_MATCHES"),
+206            exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"),
+207            exp.SafeDivide: no_safe_divide_sql,
+208            exp.Split: rename_func("STR_SPLIT"),
+209            exp.SortArray: _sort_array_sql,
+210            exp.StrPosition: str_position_sql,
+211            exp.StrToDate: lambda self, e: f"CAST({str_to_time_sql(self, e)} AS DATE)",
+212            exp.StrToTime: str_to_time_sql,
+213            exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))",
+214            exp.Struct: _struct_sql,
+215            exp.TimestampTrunc: timestamptrunc_sql,
+216            exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)",
+217            exp.TimeStrToTime: timestrtotime_sql,
+218            exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))",
+219            exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})",
+220            exp.TimeToUnix: rename_func("EPOCH"),
+221            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)",
+222            exp.TsOrDsAdd: _ts_or_ds_add_sql,
+223            exp.TsOrDsToDate: ts_or_ds_to_date_sql("duckdb"),
+224            exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})",
+225            exp.UnixToTime: rename_func("TO_TIMESTAMP"),
+226            exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)",
+227            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
+228        }
+229
+230        TYPE_MAPPING = {
+231            **generator.Generator.TYPE_MAPPING,
+232            exp.DataType.Type.BINARY: "BLOB",
+233            exp.DataType.Type.CHAR: "TEXT",
+234            exp.DataType.Type.FLOAT: "REAL",
+235            exp.DataType.Type.NCHAR: "TEXT",
+236            exp.DataType.Type.NVARCHAR: "TEXT",
+237            exp.DataType.Type.UINT: "UINTEGER",
+238            exp.DataType.Type.VARBINARY: "BLOB",
+239            exp.DataType.Type.VARCHAR: "TEXT",
+240        }
+241
+242        STAR_MAPPING = {**generator.Generator.STAR_MAPPING, "except": "EXCLUDE"}
+243
+244        UNWRAPPED_INTERVAL_VALUES = (exp.Column, exp.Literal, exp.Paren)
+245
+246        PROPERTIES_LOCATION = {
+247            **generator.Generator.PROPERTIES_LOCATION,
+248            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+249        }
+250
+251        def interval_sql(self, expression: exp.Interval) -> str:
+252            multiplier: t.Optional[int] = None
+253            unit = expression.text("unit").lower()
+254
+255            if unit.startswith("week"):
+256                multiplier = 7
+257            if unit.startswith("quarter"):
+258                multiplier = 90
 259
-260            return super().interval_sql(expression)
-261
-262        def tablesample_sql(
-263            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
-264        ) -> str:
-265            return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
+260            if multiplier:
+261                return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('day')))})"
+262
+263            return super().interval_sql(expression)
+264
+265        def tablesample_sql(
+266            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
+267        ) -> str:
+268            return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
 

 
 
@@ -874,19 +887,19 @@ Default: True
- 
248        def interval_sql(self, expression: exp.Interval) -> str:
-249            multiplier: t.Optional[int] = None
-250            unit = expression.text("unit").lower()
-251
-252            if unit.startswith("week"):
-253                multiplier = 7
-254            if unit.startswith("quarter"):
-255                multiplier = 90
-256
-257            if multiplier:
-258                return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('day')))})"
+            
251        def interval_sql(self, expression: exp.Interval) -> str:
+252            multiplier: t.Optional[int] = None
+253            unit = expression.text("unit").lower()
+254
+255            if unit.startswith("week"):
+256                multiplier = 7
+257            if unit.startswith("quarter"):
+258                multiplier = 90
 259
-260            return super().interval_sql(expression)
+260            if multiplier:
+261                return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('day')))})"
+262
+263            return super().interval_sql(expression)
 

 
 
@@ -904,15 +917,69 @@ Default: True
- 
262        def tablesample_sql(
-263            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
-264        ) -> str:
-265            return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
+            
265        def tablesample_sql(
+266            self, expression: exp.TableSample, seed_prefix: str = "SEED", sep: str = " AS "
+267        ) -> str:
+268            return super().tablesample_sql(expression, seed_prefix="REPEATABLE", sep=sep)
 

 
 
     
 
+
+
+ +
+
@classmethod
+ + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
+ + 
247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
+ + +

Checks if text can be identified given an identify option.

+ +
Arguments:
+ +
    +
  • text: The text to check.
    • +
  • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
    • +
+ +
Returns:
+ +
+

Whether or not the given text can be identified.

+
+
+ +
Inherited Members
@@ -1015,6 +1082,7 @@ Default: True
pragma_sql
lock_sql
literal_sql
+
escape_str
loaddata_sql
null_sql
boolean_sql
diff --git a/docs/sqlglot/dialects/hive.html b/docs/sqlglot/dialects/hive.html index d5f7b16..dd35e9b 100644 --- a/docs/sqlglot/dialects/hive.html +++ b/docs/sqlglot/dialects/hive.html @@ -60,6 +60,9 @@
  • after_having_modifiers
    • +
  • + can_identify +
    • @@ -244,282 +247,285 @@ 153 ALIAS_POST_TABLESAMPLE = True 154 IDENTIFIERS_CAN_START_WITH_DIGIT = True 155 -156 TIME_MAPPING = { -157 "y": "%Y", -158 "Y": "%Y", -159 "YYYY": "%Y", -160 "yyyy": "%Y", -161 "YY": "%y", -162 "yy": "%y", -163 "MMMM": "%B", -164 "MMM": "%b", -165 "MM": "%m", -166 "M": "%-m", -167 "dd": "%d", -168 "d": "%-d", -169 "HH": "%H", -170 "H": "%-H", -171 "hh": "%I", -172 "h": "%-I", -173 "mm": "%M", -174 "m": "%-M", -175 "ss": "%S", -176 "s": "%-S", -177 "SSSSSS": "%f", -178 "a": "%p", -179 "DD": "%j", -180 "D": "%-j", -181 "E": "%a", -182 "EE": "%a", -183 "EEE": "%a", -184 "EEEE": "%A", -185 } -186 -187 DATE_FORMAT = "'yyyy-MM-dd'" -188 DATEINT_FORMAT = "'yyyyMMdd'" -189 TIME_FORMAT = "'yyyy-MM-dd HH:mm:ss'" -190 -191 class Tokenizer(tokens.Tokenizer): -192 QUOTES = ["'", '"'] -193 IDENTIFIERS = ["`"] -194 STRING_ESCAPES = ["\\"] -195 ENCODE = "utf-8" -196 -197 KEYWORDS = { -198 **tokens.Tokenizer.KEYWORDS, -199 "ADD ARCHIVE": TokenType.COMMAND, -200 "ADD ARCHIVES": TokenType.COMMAND, -201 "ADD FILE": TokenType.COMMAND, -202 "ADD FILES": TokenType.COMMAND, -203 "ADD JAR": TokenType.COMMAND, -204 "ADD JARS": TokenType.COMMAND, -205 "MSCK REPAIR": TokenType.COMMAND, -206 "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES, -207 } -208 -209 NUMERIC_LITERALS = { -210 "L": "BIGINT", -211 "S": "SMALLINT", -212 "Y": "TINYINT", -213 "D": "DOUBLE", -214 "F": "FLOAT", -215 "BD": "DECIMAL", -216 } -217 -218 class Parser(parser.Parser): -219 LOG_DEFAULTS_TO_LN = True -220 STRICT_CAST = False -221 -222 FUNCTIONS = { -223 **parser.Parser.FUNCTIONS, -224 "BASE64": exp.ToBase64.from_arg_list, -225 "COLLECT_LIST": exp.ArrayAgg.from_arg_list, -226 "DATE_ADD": lambda args: exp.TsOrDsAdd( -227 this=seq_get(args, 0), expression=seq_get(args, 1), unit=exp.Literal.string("DAY") -228 ), -229 "DATEDIFF": lambda args: exp.DateDiff( -230 this=exp.TsOrDsToDate(this=seq_get(args, 0)), -231 expression=exp.TsOrDsToDate(this=seq_get(args, 1)), -232 ), -233 "DATE_SUB": lambda args: exp.TsOrDsAdd( -234 this=seq_get(args, 0), -235 expression=exp.Mul(this=seq_get(args, 1), expression=exp.Literal.number(-1)), -236 unit=exp.Literal.string("DAY"), -237 ), -238 "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")( -239 [ -240 exp.TimeStrToTime(this=seq_get(args, 0)), -241 seq_get(args, 1), -242 ] -243 ), -244 "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))), -245 "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True), -246 "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list, -247 "LOCATE": locate_to_strposition, -248 "MAP": parse_var_map, -249 "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)), -250 "PERCENTILE": exp.Quantile.from_arg_list, -251 "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list, -252 "COLLECT_SET": exp.SetAgg.from_arg_list, -253 "SIZE": exp.ArraySize.from_arg_list, -254 "SPLIT": exp.RegexpSplit.from_arg_list, -255 "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"), -256 "TO_JSON": exp.JSONFormat.from_arg_list, -257 "UNBASE64": exp.FromBase64.from_arg_list, -258 "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True), -259 "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)), -260 } -261 -262 PROPERTY_PARSERS = { -263 **parser.Parser.PROPERTY_PARSERS, -264 "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties( -265 expressions=self._parse_wrapped_csv(self._parse_property) -266 ), -267 } -268 -269 QUERY_MODIFIER_PARSERS = { -270 **parser.Parser.QUERY_MODIFIER_PARSERS, -271 "distribute": lambda self: self._parse_sort(exp.Distribute, "DISTRIBUTE", "BY"), -272 "sort": lambda self: self._parse_sort(exp.Sort, "SORT", "BY"), -273 "cluster": lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"), -274 } -275 -276 def _parse_types( -277 self, check_func: bool = False, schema: bool = False -278 ) -> t.Optional[exp.Expression]: -279 """ -280 Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to -281 STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0: -282 -283 spark-sql (default)> select cast(1234 as varchar(2)); -284 23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support -285 char/varchar type and simply treats them as string type. Please use string type -286 directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString -287 to true, so that Spark treat them as string type as same as Spark 3.0 and earlier -288 -289 1234 -290 Time taken: 4.265 seconds, Fetched 1 row(s) +156 # https://spark.apache.org/docs/latest/sql-ref-identifier.html#description +157 RESOLVES_IDENTIFIERS_AS_UPPERCASE = None +158 +159 TIME_MAPPING = { +160 "y": "%Y", +161 "Y": "%Y", +162 "YYYY": "%Y", +163 "yyyy": "%Y", +164 "YY": "%y", +165 "yy": "%y", +166 "MMMM": "%B", +167 "MMM": "%b", +168 "MM": "%m", +169 "M": "%-m", +170 "dd": "%d", +171 "d": "%-d", +172 "HH": "%H", +173 "H": "%-H", +174 "hh": "%I", +175 "h": "%-I", +176 "mm": "%M", +177 "m": "%-M", +178 "ss": "%S", +179 "s": "%-S", +180 "SSSSSS": "%f", +181 "a": "%p", +182 "DD": "%j", +183 "D": "%-j", +184 "E": "%a", +185 "EE": "%a", +186 "EEE": "%a", +187 "EEEE": "%A", +188 } +189 +190 DATE_FORMAT = "'yyyy-MM-dd'" +191 DATEINT_FORMAT = "'yyyyMMdd'" +192 TIME_FORMAT = "'yyyy-MM-dd HH:mm:ss'" +193 +194 class Tokenizer(tokens.Tokenizer): +195 QUOTES = ["'", '"'] +196 IDENTIFIERS = ["`"] +197 STRING_ESCAPES = ["\\"] +198 ENCODE = "utf-8" +199 +200 KEYWORDS = { +201 **tokens.Tokenizer.KEYWORDS, +202 "ADD ARCHIVE": TokenType.COMMAND, +203 "ADD ARCHIVES": TokenType.COMMAND, +204 "ADD FILE": TokenType.COMMAND, +205 "ADD FILES": TokenType.COMMAND, +206 "ADD JAR": TokenType.COMMAND, +207 "ADD JARS": TokenType.COMMAND, +208 "MSCK REPAIR": TokenType.COMMAND, +209 "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES, +210 } +211 +212 NUMERIC_LITERALS = { +213 "L": "BIGINT", +214 "S": "SMALLINT", +215 "Y": "TINYINT", +216 "D": "DOUBLE", +217 "F": "FLOAT", +218 "BD": "DECIMAL", +219 } +220 +221 class Parser(parser.Parser): +222 LOG_DEFAULTS_TO_LN = True +223 STRICT_CAST = False +224 +225 FUNCTIONS = { +226 **parser.Parser.FUNCTIONS, +227 "BASE64": exp.ToBase64.from_arg_list, +228 "COLLECT_LIST": exp.ArrayAgg.from_arg_list, +229 "DATE_ADD": lambda args: exp.TsOrDsAdd( +230 this=seq_get(args, 0), expression=seq_get(args, 1), unit=exp.Literal.string("DAY") +231 ), +232 "DATEDIFF": lambda args: exp.DateDiff( +233 this=exp.TsOrDsToDate(this=seq_get(args, 0)), +234 expression=exp.TsOrDsToDate(this=seq_get(args, 1)), +235 ), +236 "DATE_SUB": lambda args: exp.TsOrDsAdd( +237 this=seq_get(args, 0), +238 expression=exp.Mul(this=seq_get(args, 1), expression=exp.Literal.number(-1)), +239 unit=exp.Literal.string("DAY"), +240 ), +241 "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")( +242 [ +243 exp.TimeStrToTime(this=seq_get(args, 0)), +244 seq_get(args, 1), +245 ] +246 ), +247 "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))), +248 "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True), +249 "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list, +250 "LOCATE": locate_to_strposition, +251 "MAP": parse_var_map, +252 "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)), +253 "PERCENTILE": exp.Quantile.from_arg_list, +254 "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list, +255 "COLLECT_SET": exp.SetAgg.from_arg_list, +256 "SIZE": exp.ArraySize.from_arg_list, +257 "SPLIT": exp.RegexpSplit.from_arg_list, +258 "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"), +259 "TO_JSON": exp.JSONFormat.from_arg_list, +260 "UNBASE64": exp.FromBase64.from_arg_list, +261 "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True), +262 "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)), +263 } +264 +265 PROPERTY_PARSERS = { +266 **parser.Parser.PROPERTY_PARSERS, +267 "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties( +268 expressions=self._parse_wrapped_csv(self._parse_property) +269 ), +270 } +271 +272 QUERY_MODIFIER_PARSERS = { +273 **parser.Parser.QUERY_MODIFIER_PARSERS, +274 "cluster": lambda self: self._parse_sort(exp.Cluster, TokenType.CLUSTER_BY), +275 "distribute": lambda self: self._parse_sort(exp.Distribute, TokenType.DISTRIBUTE_BY), +276 "sort": lambda self: self._parse_sort(exp.Sort, TokenType.SORT_BY), +277 } +278 +279 def _parse_types( +280 self, check_func: bool = False, schema: bool = False +281 ) -> t.Optional[exp.Expression]: +282 """ +283 Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to +284 STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0: +285 +286 spark-sql (default)> select cast(1234 as varchar(2)); +287 23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support +288 char/varchar type and simply treats them as string type. Please use string type +289 directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString +290 to true, so that Spark treat them as string type as same as Spark 3.0 and earlier 291 -292 This shows that Spark doesn't truncate the value into '12', which is inconsistent with -293 what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly. +292 1234 +293 Time taken: 4.265 seconds, Fetched 1 row(s) 294 -295 Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html -296 """ -297 this = super()._parse_types(check_func=check_func, schema=schema) -298 -299 if this and not schema: -300 return this.transform( -301 lambda node: node.replace(exp.DataType.build("text")) -302 if isinstance(node, exp.DataType) and node.is_type("char", "varchar") -303 else node, -304 copy=False, -305 ) -306 -307 return this -308 -309 class Generator(generator.Generator): -310 LIMIT_FETCH = "LIMIT" -311 TABLESAMPLE_WITH_METHOD = False -312 TABLESAMPLE_SIZE_IS_PERCENT = True -313 JOIN_HINTS = False -314 TABLE_HINTS = False -315 INDEX_ON = "ON TABLE" -316 -317 TYPE_MAPPING = { -318 **generator.Generator.TYPE_MAPPING, -319 exp.DataType.Type.TEXT: "STRING", -320 exp.DataType.Type.DATETIME: "TIMESTAMP", -321 exp.DataType.Type.VARBINARY: "BINARY", -322 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -323 exp.DataType.Type.BIT: "BOOLEAN", -324 } -325 -326 TRANSFORMS = { -327 **generator.Generator.TRANSFORMS, -328 exp.Group: transforms.preprocess([transforms.unalias_group]), -329 exp.Select: transforms.preprocess( -330 [ -331 transforms.eliminate_qualify, -332 transforms.eliminate_distinct_on, -333 transforms.unnest_to_explode, -334 ] -335 ), -336 exp.Property: _property_sql, -337 exp.ApproxDistinct: approx_count_distinct_sql, -338 exp.ArrayConcat: rename_func("CONCAT"), -339 exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this), -340 exp.ArraySize: rename_func("SIZE"), -341 exp.ArraySort: _array_sort_sql, -342 exp.With: no_recursive_cte_sql, -343 exp.DateAdd: _add_date_sql, -344 exp.DateDiff: _date_diff_sql, -345 exp.DateStrToDate: rename_func("TO_DATE"), -346 exp.DateSub: _add_date_sql, -347 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)", -348 exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})", -349 exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}", -350 exp.FromBase64: rename_func("UNBASE64"), -351 exp.If: if_sql, -352 exp.ILike: no_ilike_sql, -353 exp.JSONExtract: rename_func("GET_JSON_OBJECT"), -354 exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"), -355 exp.JSONFormat: _json_format_sql, -356 exp.Left: left_to_substring_sql, -357 exp.Map: var_map_sql, -358 exp.Max: max_or_greatest, -359 exp.Min: min_or_least, -360 exp.VarMap: var_map_sql, -361 exp.Create: create_with_partitions_sql, -362 exp.Quantile: rename_func("PERCENTILE"), -363 exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"), -364 exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"), -365 exp.RegexpSplit: rename_func("SPLIT"), -366 exp.Right: right_to_substring_sql, -367 exp.SafeDivide: no_safe_divide_sql, -368 exp.SchemaCommentProperty: lambda self, e: self.naked_property(e), -369 exp.SetAgg: rename_func("COLLECT_SET"), -370 exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))", -371 exp.StrPosition: strposition_to_locate_sql, -372 exp.StrToDate: _str_to_date_sql, -373 exp.StrToTime: _str_to_time_sql, -374 exp.StrToUnix: _str_to_unix_sql, -375 exp.StructExtract: struct_extract_sql, -376 exp.TimeStrToDate: rename_func("TO_DATE"), -377 exp.TimeStrToTime: timestrtotime_sql, -378 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -379 exp.TimeToStr: _time_to_str, -380 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), -381 exp.ToBase64: rename_func("BASE64"), -382 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)", -383 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -384 exp.TsOrDsToDate: _to_date_sql, -385 exp.TryCast: no_trycast_sql, -386 exp.UnixToStr: lambda self, e: self.func( -387 "FROM_UNIXTIME", e.this, _time_format(self, e) -388 ), -389 exp.UnixToTime: rename_func("FROM_UNIXTIME"), -390 exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"), -391 exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}", -392 exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}", -393 exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"), -394 exp.NumberToStr: rename_func("FORMAT_NUMBER"), -395 exp.LastDateOfMonth: rename_func("LAST_DAY"), -396 exp.National: lambda self, e: self.national_sql(e, prefix=""), -397 } -398 -399 PROPERTIES_LOCATION = { -400 **generator.Generator.PROPERTIES_LOCATION, -401 exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA, -402 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, -403 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -404 } -405 -406 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: -407 return self.func( -408 "COLLECT_LIST", -409 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, -410 ) -411 -412 def with_properties(self, properties: exp.Properties) -> str: -413 return self.properties(properties, prefix=self.seg("TBLPROPERTIES")) +295 This shows that Spark doesn't truncate the value into '12', which is inconsistent with +296 what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly. +297 +298 Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html +299 """ +300 this = super()._parse_types(check_func=check_func, schema=schema) +301 +302 if this and not schema: +303 return this.transform( +304 lambda node: node.replace(exp.DataType.build("text")) +305 if isinstance(node, exp.DataType) and node.is_type("char", "varchar") +306 else node, +307 copy=False, +308 ) +309 +310 return this +311 +312 class Generator(generator.Generator): +313 LIMIT_FETCH = "LIMIT" +314 TABLESAMPLE_WITH_METHOD = False +315 TABLESAMPLE_SIZE_IS_PERCENT = True +316 JOIN_HINTS = False +317 TABLE_HINTS = False +318 INDEX_ON = "ON TABLE" +319 +320 TYPE_MAPPING = { +321 **generator.Generator.TYPE_MAPPING, +322 exp.DataType.Type.TEXT: "STRING", +323 exp.DataType.Type.DATETIME: "TIMESTAMP", +324 exp.DataType.Type.VARBINARY: "BINARY", +325 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +326 exp.DataType.Type.BIT: "BOOLEAN", +327 } +328 +329 TRANSFORMS = { +330 **generator.Generator.TRANSFORMS, +331 exp.Group: transforms.preprocess([transforms.unalias_group]), +332 exp.Select: transforms.preprocess( +333 [ +334 transforms.eliminate_qualify, +335 transforms.eliminate_distinct_on, +336 transforms.unnest_to_explode, +337 ] +338 ), +339 exp.Property: _property_sql, +340 exp.ApproxDistinct: approx_count_distinct_sql, +341 exp.ArrayConcat: rename_func("CONCAT"), +342 exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this), +343 exp.ArraySize: rename_func("SIZE"), +344 exp.ArraySort: _array_sort_sql, +345 exp.With: no_recursive_cte_sql, +346 exp.DateAdd: _add_date_sql, +347 exp.DateDiff: _date_diff_sql, +348 exp.DateStrToDate: rename_func("TO_DATE"), +349 exp.DateSub: _add_date_sql, +350 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)", +351 exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})", +352 exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}", +353 exp.FromBase64: rename_func("UNBASE64"), +354 exp.If: if_sql, +355 exp.ILike: no_ilike_sql, +356 exp.JSONExtract: rename_func("GET_JSON_OBJECT"), +357 exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"), +358 exp.JSONFormat: _json_format_sql, +359 exp.Left: left_to_substring_sql, +360 exp.Map: var_map_sql, +361 exp.Max: max_or_greatest, +362 exp.Min: min_or_least, +363 exp.VarMap: var_map_sql, +364 exp.Create: create_with_partitions_sql, +365 exp.Quantile: rename_func("PERCENTILE"), +366 exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"), +367 exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"), +368 exp.RegexpSplit: rename_func("SPLIT"), +369 exp.Right: right_to_substring_sql, +370 exp.SafeDivide: no_safe_divide_sql, +371 exp.SchemaCommentProperty: lambda self, e: self.naked_property(e), +372 exp.SetAgg: rename_func("COLLECT_SET"), +373 exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))", +374 exp.StrPosition: strposition_to_locate_sql, +375 exp.StrToDate: _str_to_date_sql, +376 exp.StrToTime: _str_to_time_sql, +377 exp.StrToUnix: _str_to_unix_sql, +378 exp.StructExtract: struct_extract_sql, +379 exp.TimeStrToDate: rename_func("TO_DATE"), +380 exp.TimeStrToTime: timestrtotime_sql, +381 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +382 exp.TimeToStr: _time_to_str, +383 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), +384 exp.ToBase64: rename_func("BASE64"), +385 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)", +386 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +387 exp.TsOrDsToDate: _to_date_sql, +388 exp.TryCast: no_trycast_sql, +389 exp.UnixToStr: lambda self, e: self.func( +390 "FROM_UNIXTIME", e.this, _time_format(self, e) +391 ), +392 exp.UnixToTime: rename_func("FROM_UNIXTIME"), +393 exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"), +394 exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}", +395 exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}", +396 exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"), +397 exp.NumberToStr: rename_func("FORMAT_NUMBER"), +398 exp.LastDateOfMonth: rename_func("LAST_DAY"), +399 exp.National: lambda self, e: self.national_sql(e, prefix=""), +400 } +401 +402 PROPERTIES_LOCATION = { +403 **generator.Generator.PROPERTIES_LOCATION, +404 exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA, +405 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, +406 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +407 } +408 +409 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: +410 return self.func( +411 "COLLECT_LIST", +412 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, +413 ) 414 -415 def datatype_sql(self, expression: exp.DataType) -> str: -416 if ( -417 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) -418 and not expression.expressions -419 ): -420 expression = exp.DataType.build("text") -421 elif expression.this in exp.DataType.TEMPORAL_TYPES: -422 expression = exp.DataType.build(expression.this) -423 -424 return super().datatype_sql(expression) -425 -426 def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]: -427 return super().after_having_modifiers(expression) + [ -428 self.sql(expression, "distribute"), -429 self.sql(expression, "sort"), -430 self.sql(expression, "cluster"), -431 ] +415 def with_properties(self, properties: exp.Properties) -> str: +416 return self.properties(properties, prefix=self.seg("TBLPROPERTIES")) +417 +418 def datatype_sql(self, expression: exp.DataType) -> str: +419 if ( +420 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) +421 and not expression.expressions +422 ): +423 expression = exp.DataType.build("text") +424 elif expression.this in exp.DataType.TEMPORAL_TYPES: +425 expression = exp.DataType.build(expression.this) +426 +427 return super().datatype_sql(expression) +428 +429 def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]: +430 return super().after_having_modifiers(expression) + [ +431 self.sql(expression, "distribute"), +432 self.sql(expression, "sort"), +433 self.sql(expression, "cluster"), +434 ]
    @@ -539,282 +545,285 @@ 154 ALIAS_POST_TABLESAMPLE = True 155 IDENTIFIERS_CAN_START_WITH_DIGIT = True 156 -157 TIME_MAPPING = { -158 "y": "%Y", -159 "Y": "%Y", -160 "YYYY": "%Y", -161 "yyyy": "%Y", -162 "YY": "%y", -163 "yy": "%y", -164 "MMMM": "%B", -165 "MMM": "%b", -166 "MM": "%m", -167 "M": "%-m", -168 "dd": "%d", -169 "d": "%-d", -170 "HH": "%H", -171 "H": "%-H", -172 "hh": "%I", -173 "h": "%-I", -174 "mm": "%M", -175 "m": "%-M", -176 "ss": "%S", -177 "s": "%-S", -178 "SSSSSS": "%f", -179 "a": "%p", -180 "DD": "%j", -181 "D": "%-j", -182 "E": "%a", -183 "EE": "%a", -184 "EEE": "%a", -185 "EEEE": "%A", -186 } -187 -188 DATE_FORMAT = "'yyyy-MM-dd'" -189 DATEINT_FORMAT = "'yyyyMMdd'" -190 TIME_FORMAT = "'yyyy-MM-dd HH:mm:ss'" -191 -192 class Tokenizer(tokens.Tokenizer): -193 QUOTES = ["'", '"'] -194 IDENTIFIERS = ["`"] -195 STRING_ESCAPES = ["\\"] -196 ENCODE = "utf-8" -197 -198 KEYWORDS = { -199 **tokens.Tokenizer.KEYWORDS, -200 "ADD ARCHIVE": TokenType.COMMAND, -201 "ADD ARCHIVES": TokenType.COMMAND, -202 "ADD FILE": TokenType.COMMAND, -203 "ADD FILES": TokenType.COMMAND, -204 "ADD JAR": TokenType.COMMAND, -205 "ADD JARS": TokenType.COMMAND, -206 "MSCK REPAIR": TokenType.COMMAND, -207 "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES, -208 } -209 -210 NUMERIC_LITERALS = { -211 "L": "BIGINT", -212 "S": "SMALLINT", -213 "Y": "TINYINT", -214 "D": "DOUBLE", -215 "F": "FLOAT", -216 "BD": "DECIMAL", -217 } -218 -219 class Parser(parser.Parser): -220 LOG_DEFAULTS_TO_LN = True -221 STRICT_CAST = False -222 -223 FUNCTIONS = { -224 **parser.Parser.FUNCTIONS, -225 "BASE64": exp.ToBase64.from_arg_list, -226 "COLLECT_LIST": exp.ArrayAgg.from_arg_list, -227 "DATE_ADD": lambda args: exp.TsOrDsAdd( -228 this=seq_get(args, 0), expression=seq_get(args, 1), unit=exp.Literal.string("DAY") -229 ), -230 "DATEDIFF": lambda args: exp.DateDiff( -231 this=exp.TsOrDsToDate(this=seq_get(args, 0)), -232 expression=exp.TsOrDsToDate(this=seq_get(args, 1)), -233 ), -234 "DATE_SUB": lambda args: exp.TsOrDsAdd( -235 this=seq_get(args, 0), -236 expression=exp.Mul(this=seq_get(args, 1), expression=exp.Literal.number(-1)), -237 unit=exp.Literal.string("DAY"), -238 ), -239 "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")( -240 [ -241 exp.TimeStrToTime(this=seq_get(args, 0)), -242 seq_get(args, 1), -243 ] -244 ), -245 "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))), -246 "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True), -247 "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list, -248 "LOCATE": locate_to_strposition, -249 "MAP": parse_var_map, -250 "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)), -251 "PERCENTILE": exp.Quantile.from_arg_list, -252 "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list, -253 "COLLECT_SET": exp.SetAgg.from_arg_list, -254 "SIZE": exp.ArraySize.from_arg_list, -255 "SPLIT": exp.RegexpSplit.from_arg_list, -256 "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"), -257 "TO_JSON": exp.JSONFormat.from_arg_list, -258 "UNBASE64": exp.FromBase64.from_arg_list, -259 "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True), -260 "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)), -261 } -262 -263 PROPERTY_PARSERS = { -264 **parser.Parser.PROPERTY_PARSERS, -265 "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties( -266 expressions=self._parse_wrapped_csv(self._parse_property) -267 ), -268 } -269 -270 QUERY_MODIFIER_PARSERS = { -271 **parser.Parser.QUERY_MODIFIER_PARSERS, -272 "distribute": lambda self: self._parse_sort(exp.Distribute, "DISTRIBUTE", "BY"), -273 "sort": lambda self: self._parse_sort(exp.Sort, "SORT", "BY"), -274 "cluster": lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"), -275 } -276 -277 def _parse_types( -278 self, check_func: bool = False, schema: bool = False -279 ) -> t.Optional[exp.Expression]: -280 """ -281 Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to -282 STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0: -283 -284 spark-sql (default)> select cast(1234 as varchar(2)); -285 23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support -286 char/varchar type and simply treats them as string type. Please use string type -287 directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString -288 to true, so that Spark treat them as string type as same as Spark 3.0 and earlier -289 -290 1234 -291 Time taken: 4.265 seconds, Fetched 1 row(s) +157 # https://spark.apache.org/docs/latest/sql-ref-identifier.html#description +158 RESOLVES_IDENTIFIERS_AS_UPPERCASE = None +159 +160 TIME_MAPPING = { +161 "y": "%Y", +162 "Y": "%Y", +163 "YYYY": "%Y", +164 "yyyy": "%Y", +165 "YY": "%y", +166 "yy": "%y", +167 "MMMM": "%B", +168 "MMM": "%b", +169 "MM": "%m", +170 "M": "%-m", +171 "dd": "%d", +172 "d": "%-d", +173 "HH": "%H", +174 "H": "%-H", +175 "hh": "%I", +176 "h": "%-I", +177 "mm": "%M", +178 "m": "%-M", +179 "ss": "%S", +180 "s": "%-S", +181 "SSSSSS": "%f", +182 "a": "%p", +183 "DD": "%j", +184 "D": "%-j", +185 "E": "%a", +186 "EE": "%a", +187 "EEE": "%a", +188 "EEEE": "%A", +189 } +190 +191 DATE_FORMAT = "'yyyy-MM-dd'" +192 DATEINT_FORMAT = "'yyyyMMdd'" +193 TIME_FORMAT = "'yyyy-MM-dd HH:mm:ss'" +194 +195 class Tokenizer(tokens.Tokenizer): +196 QUOTES = ["'", '"'] +197 IDENTIFIERS = ["`"] +198 STRING_ESCAPES = ["\\"] +199 ENCODE = "utf-8" +200 +201 KEYWORDS = { +202 **tokens.Tokenizer.KEYWORDS, +203 "ADD ARCHIVE": TokenType.COMMAND, +204 "ADD ARCHIVES": TokenType.COMMAND, +205 "ADD FILE": TokenType.COMMAND, +206 "ADD FILES": TokenType.COMMAND, +207 "ADD JAR": TokenType.COMMAND, +208 "ADD JARS": TokenType.COMMAND, +209 "MSCK REPAIR": TokenType.COMMAND, +210 "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES, +211 } +212 +213 NUMERIC_LITERALS = { +214 "L": "BIGINT", +215 "S": "SMALLINT", +216 "Y": "TINYINT", +217 "D": "DOUBLE", +218 "F": "FLOAT", +219 "BD": "DECIMAL", +220 } +221 +222 class Parser(parser.Parser): +223 LOG_DEFAULTS_TO_LN = True +224 STRICT_CAST = False +225 +226 FUNCTIONS = { +227 **parser.Parser.FUNCTIONS, +228 "BASE64": exp.ToBase64.from_arg_list, +229 "COLLECT_LIST": exp.ArrayAgg.from_arg_list, +230 "DATE_ADD": lambda args: exp.TsOrDsAdd( +231 this=seq_get(args, 0), expression=seq_get(args, 1), unit=exp.Literal.string("DAY") +232 ), +233 "DATEDIFF": lambda args: exp.DateDiff( +234 this=exp.TsOrDsToDate(this=seq_get(args, 0)), +235 expression=exp.TsOrDsToDate(this=seq_get(args, 1)), +236 ), +237 "DATE_SUB": lambda args: exp.TsOrDsAdd( +238 this=seq_get(args, 0), +239 expression=exp.Mul(this=seq_get(args, 1), expression=exp.Literal.number(-1)), +240 unit=exp.Literal.string("DAY"), +241 ), +242 "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")( +243 [ +244 exp.TimeStrToTime(this=seq_get(args, 0)), +245 seq_get(args, 1), +246 ] +247 ), +248 "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))), +249 "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True), +250 "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list, +251 "LOCATE": locate_to_strposition, +252 "MAP": parse_var_map, +253 "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)), +254 "PERCENTILE": exp.Quantile.from_arg_list, +255 "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list, +256 "COLLECT_SET": exp.SetAgg.from_arg_list, +257 "SIZE": exp.ArraySize.from_arg_list, +258 "SPLIT": exp.RegexpSplit.from_arg_list, +259 "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"), +260 "TO_JSON": exp.JSONFormat.from_arg_list, +261 "UNBASE64": exp.FromBase64.from_arg_list, +262 "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True), +263 "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)), +264 } +265 +266 PROPERTY_PARSERS = { +267 **parser.Parser.PROPERTY_PARSERS, +268 "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties( +269 expressions=self._parse_wrapped_csv(self._parse_property) +270 ), +271 } +272 +273 QUERY_MODIFIER_PARSERS = { +274 **parser.Parser.QUERY_MODIFIER_PARSERS, +275 "cluster": lambda self: self._parse_sort(exp.Cluster, TokenType.CLUSTER_BY), +276 "distribute": lambda self: self._parse_sort(exp.Distribute, TokenType.DISTRIBUTE_BY), +277 "sort": lambda self: self._parse_sort(exp.Sort, TokenType.SORT_BY), +278 } +279 +280 def _parse_types( +281 self, check_func: bool = False, schema: bool = False +282 ) -> t.Optional[exp.Expression]: +283 """ +284 Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to +285 STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0: +286 +287 spark-sql (default)> select cast(1234 as varchar(2)); +288 23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support +289 char/varchar type and simply treats them as string type. Please use string type +290 directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString +291 to true, so that Spark treat them as string type as same as Spark 3.0 and earlier 292 -293 This shows that Spark doesn't truncate the value into '12', which is inconsistent with -294 what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly. +293 1234 +294 Time taken: 4.265 seconds, Fetched 1 row(s) 295 -296 Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html -297 """ -298 this = super()._parse_types(check_func=check_func, schema=schema) -299 -300 if this and not schema: -301 return this.transform( -302 lambda node: node.replace(exp.DataType.build("text")) -303 if isinstance(node, exp.DataType) and node.is_type("char", "varchar") -304 else node, -305 copy=False, -306 ) -307 -308 return this -309 -310 class Generator(generator.Generator): -311 LIMIT_FETCH = "LIMIT" -312 TABLESAMPLE_WITH_METHOD = False -313 TABLESAMPLE_SIZE_IS_PERCENT = True -314 JOIN_HINTS = False -315 TABLE_HINTS = False -316 INDEX_ON = "ON TABLE" -317 -318 TYPE_MAPPING = { -319 **generator.Generator.TYPE_MAPPING, -320 exp.DataType.Type.TEXT: "STRING", -321 exp.DataType.Type.DATETIME: "TIMESTAMP", -322 exp.DataType.Type.VARBINARY: "BINARY", -323 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -324 exp.DataType.Type.BIT: "BOOLEAN", -325 } -326 -327 TRANSFORMS = { -328 **generator.Generator.TRANSFORMS, -329 exp.Group: transforms.preprocess([transforms.unalias_group]), -330 exp.Select: transforms.preprocess( -331 [ -332 transforms.eliminate_qualify, -333 transforms.eliminate_distinct_on, -334 transforms.unnest_to_explode, -335 ] -336 ), -337 exp.Property: _property_sql, -338 exp.ApproxDistinct: approx_count_distinct_sql, -339 exp.ArrayConcat: rename_func("CONCAT"), -340 exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this), -341 exp.ArraySize: rename_func("SIZE"), -342 exp.ArraySort: _array_sort_sql, -343 exp.With: no_recursive_cte_sql, -344 exp.DateAdd: _add_date_sql, -345 exp.DateDiff: _date_diff_sql, -346 exp.DateStrToDate: rename_func("TO_DATE"), -347 exp.DateSub: _add_date_sql, -348 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)", -349 exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})", -350 exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}", -351 exp.FromBase64: rename_func("UNBASE64"), -352 exp.If: if_sql, -353 exp.ILike: no_ilike_sql, -354 exp.JSONExtract: rename_func("GET_JSON_OBJECT"), -355 exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"), -356 exp.JSONFormat: _json_format_sql, -357 exp.Left: left_to_substring_sql, -358 exp.Map: var_map_sql, -359 exp.Max: max_or_greatest, -360 exp.Min: min_or_least, -361 exp.VarMap: var_map_sql, -362 exp.Create: create_with_partitions_sql, -363 exp.Quantile: rename_func("PERCENTILE"), -364 exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"), -365 exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"), -366 exp.RegexpSplit: rename_func("SPLIT"), -367 exp.Right: right_to_substring_sql, -368 exp.SafeDivide: no_safe_divide_sql, -369 exp.SchemaCommentProperty: lambda self, e: self.naked_property(e), -370 exp.SetAgg: rename_func("COLLECT_SET"), -371 exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))", -372 exp.StrPosition: strposition_to_locate_sql, -373 exp.StrToDate: _str_to_date_sql, -374 exp.StrToTime: _str_to_time_sql, -375 exp.StrToUnix: _str_to_unix_sql, -376 exp.StructExtract: struct_extract_sql, -377 exp.TimeStrToDate: rename_func("TO_DATE"), -378 exp.TimeStrToTime: timestrtotime_sql, -379 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), -380 exp.TimeToStr: _time_to_str, -381 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), -382 exp.ToBase64: rename_func("BASE64"), -383 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)", -384 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -385 exp.TsOrDsToDate: _to_date_sql, -386 exp.TryCast: no_trycast_sql, -387 exp.UnixToStr: lambda self, e: self.func( -388 "FROM_UNIXTIME", e.this, _time_format(self, e) -389 ), -390 exp.UnixToTime: rename_func("FROM_UNIXTIME"), -391 exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"), -392 exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}", -393 exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}", -394 exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"), -395 exp.NumberToStr: rename_func("FORMAT_NUMBER"), -396 exp.LastDateOfMonth: rename_func("LAST_DAY"), -397 exp.National: lambda self, e: self.national_sql(e, prefix=""), -398 } -399 -400 PROPERTIES_LOCATION = { -401 **generator.Generator.PROPERTIES_LOCATION, -402 exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA, -403 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, -404 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -405 } -406 -407 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: -408 return self.func( -409 "COLLECT_LIST", -410 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, -411 ) -412 -413 def with_properties(self, properties: exp.Properties) -> str: -414 return self.properties(properties, prefix=self.seg("TBLPROPERTIES")) +296 This shows that Spark doesn't truncate the value into '12', which is inconsistent with +297 what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly. +298 +299 Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html +300 """ +301 this = super()._parse_types(check_func=check_func, schema=schema) +302 +303 if this and not schema: +304 return this.transform( +305 lambda node: node.replace(exp.DataType.build("text")) +306 if isinstance(node, exp.DataType) and node.is_type("char", "varchar") +307 else node, +308 copy=False, +309 ) +310 +311 return this +312 +313 class Generator(generator.Generator): +314 LIMIT_FETCH = "LIMIT" +315 TABLESAMPLE_WITH_METHOD = False +316 TABLESAMPLE_SIZE_IS_PERCENT = True +317 JOIN_HINTS = False +318 TABLE_HINTS = False +319 INDEX_ON = "ON TABLE" +320 +321 TYPE_MAPPING = { +322 **generator.Generator.TYPE_MAPPING, +323 exp.DataType.Type.TEXT: "STRING", +324 exp.DataType.Type.DATETIME: "TIMESTAMP", +325 exp.DataType.Type.VARBINARY: "BINARY", +326 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +327 exp.DataType.Type.BIT: "BOOLEAN", +328 } +329 +330 TRANSFORMS = { +331 **generator.Generator.TRANSFORMS, +332 exp.Group: transforms.preprocess([transforms.unalias_group]), +333 exp.Select: transforms.preprocess( +334 [ +335 transforms.eliminate_qualify, +336 transforms.eliminate_distinct_on, +337 transforms.unnest_to_explode, +338 ] +339 ), +340 exp.Property: _property_sql, +341 exp.ApproxDistinct: approx_count_distinct_sql, +342 exp.ArrayConcat: rename_func("CONCAT"), +343 exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this), +344 exp.ArraySize: rename_func("SIZE"), +345 exp.ArraySort: _array_sort_sql, +346 exp.With: no_recursive_cte_sql, +347 exp.DateAdd: _add_date_sql, +348 exp.DateDiff: _date_diff_sql, +349 exp.DateStrToDate: rename_func("TO_DATE"), +350 exp.DateSub: _add_date_sql, +351 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)", +352 exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})", +353 exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}", +354 exp.FromBase64: rename_func("UNBASE64"), +355 exp.If: if_sql, +356 exp.ILike: no_ilike_sql, +357 exp.JSONExtract: rename_func("GET_JSON_OBJECT"), +358 exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"), +359 exp.JSONFormat: _json_format_sql, +360 exp.Left: left_to_substring_sql, +361 exp.Map: var_map_sql, +362 exp.Max: max_or_greatest, +363 exp.Min: min_or_least, +364 exp.VarMap: var_map_sql, +365 exp.Create: create_with_partitions_sql, +366 exp.Quantile: rename_func("PERCENTILE"), +367 exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"), +368 exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"), +369 exp.RegexpSplit: rename_func("SPLIT"), +370 exp.Right: right_to_substring_sql, +371 exp.SafeDivide: no_safe_divide_sql, +372 exp.SchemaCommentProperty: lambda self, e: self.naked_property(e), +373 exp.SetAgg: rename_func("COLLECT_SET"), +374 exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))", +375 exp.StrPosition: strposition_to_locate_sql, +376 exp.StrToDate: _str_to_date_sql, +377 exp.StrToTime: _str_to_time_sql, +378 exp.StrToUnix: _str_to_unix_sql, +379 exp.StructExtract: struct_extract_sql, +380 exp.TimeStrToDate: rename_func("TO_DATE"), +381 exp.TimeStrToTime: timestrtotime_sql, +382 exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"), +383 exp.TimeToStr: _time_to_str, +384 exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"), +385 exp.ToBase64: rename_func("BASE64"), +386 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)", +387 exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +388 exp.TsOrDsToDate: _to_date_sql, +389 exp.TryCast: no_trycast_sql, +390 exp.UnixToStr: lambda self, e: self.func( +391 "FROM_UNIXTIME", e.this, _time_format(self, e) +392 ), +393 exp.UnixToTime: rename_func("FROM_UNIXTIME"), +394 exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"), +395 exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}", +396 exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}", +397 exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"), +398 exp.NumberToStr: rename_func("FORMAT_NUMBER"), +399 exp.LastDateOfMonth: rename_func("LAST_DAY"), +400 exp.National: lambda self, e: self.national_sql(e, prefix=""), +401 } +402 +403 PROPERTIES_LOCATION = { +404 **generator.Generator.PROPERTIES_LOCATION, +405 exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA, +406 exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA, +407 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +408 } +409 +410 def arrayagg_sql(self, expression: exp.ArrayAgg) -> str: +411 return self.func( +412 "COLLECT_LIST", +413 expression.this.this if isinstance(expression.this, exp.Order) else expression.this, +414 ) 415 -416 def datatype_sql(self, expression: exp.DataType) -> str: -417 if ( -418 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) -419 and not expression.expressions -420 ): -421 expression = exp.DataType.build("text") -422 elif expression.this in exp.DataType.TEMPORAL_TYPES: -423 expression = exp.DataType.build(expression.this) -424 -425 return super().datatype_sql(expression) -426 -427 def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]: -428 return super().after_having_modifiers(expression) + [ -429 self.sql(expression, "distribute"), -430 self.sql(expression, "sort"), -431 self.sql(expression, "cluster"), -432 ] +416 def with_properties(self, properties: exp.Properties) -> str: +417 return self.properties(properties, prefix=self.seg("TBLPROPERTIES")) +418 +419 def datatype_sql(self, expression: exp.DataType) -> str: +420 if ( +421 expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR) +422 and not expression.expressions +423 ): +424 expression = exp.DataType.build("text") +425 elif expression.this in exp.DataType.TEMPORAL_TYPES: +426 expression = exp.DataType.build(expression.this) +427 +428 return super().datatype_sql(expression) +429 +430 def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]: +431 return super().after_having_modifiers(expression) + [ +432 self.sql(expression, "distribute"), +433 self.sql(expression, "sort"), +434 self.sql(expression, "cluster"), +435 ] @@ -826,6 +835,10 @@ - 
    192    class Tokenizer(tokens.Tokenizer):
-193        QUOTES = ["'", '"']
-194        IDENTIFIERS = ["`"]
-195        STRING_ESCAPES = ["\\"]
-196        ENCODE = "utf-8"
-197
-198        KEYWORDS = {
-199            **tokens.Tokenizer.KEYWORDS,
-200            "ADD ARCHIVE": TokenType.COMMAND,
-201            "ADD ARCHIVES": TokenType.COMMAND,
-202            "ADD FILE": TokenType.COMMAND,
-203            "ADD FILES": TokenType.COMMAND,
-204            "ADD JAR": TokenType.COMMAND,
-205            "ADD JARS": TokenType.COMMAND,
-206            "MSCK REPAIR": TokenType.COMMAND,
-207            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
-208        }
-209
-210        NUMERIC_LITERALS = {
-211            "L": "BIGINT",
-212            "S": "SMALLINT",
-213            "Y": "TINYINT",
-214            "D": "DOUBLE",
-215            "F": "FLOAT",
-216            "BD": "DECIMAL",
-217        }
+            
    195    class Tokenizer(tokens.Tokenizer):
+196        QUOTES = ["'", '"']
+197        IDENTIFIERS = ["`"]
+198        STRING_ESCAPES = ["\\"]
+199        ENCODE = "utf-8"
+200
+201        KEYWORDS = {
+202            **tokens.Tokenizer.KEYWORDS,
+203            "ADD ARCHIVE": TokenType.COMMAND,
+204            "ADD ARCHIVES": TokenType.COMMAND,
+205            "ADD FILE": TokenType.COMMAND,
+206            "ADD FILES": TokenType.COMMAND,
+207            "ADD JAR": TokenType.COMMAND,
+208            "ADD JARS": TokenType.COMMAND,
+209            "MSCK REPAIR": TokenType.COMMAND,
+210            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
+211        }
+212
+213        NUMERIC_LITERALS = {
+214            "L": "BIGINT",
+215            "S": "SMALLINT",
+216            "Y": "TINYINT",
+217            "D": "DOUBLE",
+218            "F": "FLOAT",
+219            "BD": "DECIMAL",
+220        }
 
    
 
 
@@ -903,96 +916,96 @@
    - 
    219    class Parser(parser.Parser):
-220        LOG_DEFAULTS_TO_LN = True
-221        STRICT_CAST = False
-222
-223        FUNCTIONS = {
-224            **parser.Parser.FUNCTIONS,
-225            "BASE64": exp.ToBase64.from_arg_list,
-226            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
-227            "DATE_ADD": lambda args: exp.TsOrDsAdd(
-228                this=seq_get(args, 0), expression=seq_get(args, 1), unit=exp.Literal.string("DAY")
-229            ),
-230            "DATEDIFF": lambda args: exp.DateDiff(
-231                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
-232                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
-233            ),
-234            "DATE_SUB": lambda args: exp.TsOrDsAdd(
-235                this=seq_get(args, 0),
-236                expression=exp.Mul(this=seq_get(args, 1), expression=exp.Literal.number(-1)),
-237                unit=exp.Literal.string("DAY"),
-238            ),
-239            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
-240                [
-241                    exp.TimeStrToTime(this=seq_get(args, 0)),
-242                    seq_get(args, 1),
-243                ]
-244            ),
-245            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
-246            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
-247            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
-248            "LOCATE": locate_to_strposition,
-249            "MAP": parse_var_map,
-250            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
-251            "PERCENTILE": exp.Quantile.from_arg_list,
-252            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
-253            "COLLECT_SET": exp.SetAgg.from_arg_list,
-254            "SIZE": exp.ArraySize.from_arg_list,
-255            "SPLIT": exp.RegexpSplit.from_arg_list,
-256            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
-257            "TO_JSON": exp.JSONFormat.from_arg_list,
-258            "UNBASE64": exp.FromBase64.from_arg_list,
-259            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
-260            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
-261        }
-262
-263        PROPERTY_PARSERS = {
-264            **parser.Parser.PROPERTY_PARSERS,
-265            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
-266                expressions=self._parse_wrapped_csv(self._parse_property)
-267            ),
-268        }
-269
-270        QUERY_MODIFIER_PARSERS = {
-271            **parser.Parser.QUERY_MODIFIER_PARSERS,
-272            "distribute": lambda self: self._parse_sort(exp.Distribute, "DISTRIBUTE", "BY"),
-273            "sort": lambda self: self._parse_sort(exp.Sort, "SORT", "BY"),
-274            "cluster": lambda self: self._parse_sort(exp.Cluster, "CLUSTER", "BY"),
-275        }
-276
-277        def _parse_types(
-278            self, check_func: bool = False, schema: bool = False
-279        ) -> t.Optional[exp.Expression]:
-280            """
-281            Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to
-282            STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0:
-283
-284                spark-sql (default)> select cast(1234 as varchar(2));
-285                23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support
-286                char/varchar type and simply treats them as string type. Please use string type
-287                directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString
-288                to true, so that Spark treat them as string type as same as Spark 3.0 and earlier
-289
-290                1234
-291                Time taken: 4.265 seconds, Fetched 1 row(s)
+            
    222    class Parser(parser.Parser):
+223        LOG_DEFAULTS_TO_LN = True
+224        STRICT_CAST = False
+225
+226        FUNCTIONS = {
+227            **parser.Parser.FUNCTIONS,
+228            "BASE64": exp.ToBase64.from_arg_list,
+229            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
+230            "DATE_ADD": lambda args: exp.TsOrDsAdd(
+231                this=seq_get(args, 0), expression=seq_get(args, 1), unit=exp.Literal.string("DAY")
+232            ),
+233            "DATEDIFF": lambda args: exp.DateDiff(
+234                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
+235                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
+236            ),
+237            "DATE_SUB": lambda args: exp.TsOrDsAdd(
+238                this=seq_get(args, 0),
+239                expression=exp.Mul(this=seq_get(args, 1), expression=exp.Literal.number(-1)),
+240                unit=exp.Literal.string("DAY"),
+241            ),
+242            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
+243                [
+244                    exp.TimeStrToTime(this=seq_get(args, 0)),
+245                    seq_get(args, 1),
+246                ]
+247            ),
+248            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
+249            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
+250            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
+251            "LOCATE": locate_to_strposition,
+252            "MAP": parse_var_map,
+253            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
+254            "PERCENTILE": exp.Quantile.from_arg_list,
+255            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
+256            "COLLECT_SET": exp.SetAgg.from_arg_list,
+257            "SIZE": exp.ArraySize.from_arg_list,
+258            "SPLIT": exp.RegexpSplit.from_arg_list,
+259            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
+260            "TO_JSON": exp.JSONFormat.from_arg_list,
+261            "UNBASE64": exp.FromBase64.from_arg_list,
+262            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
+263            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
+264        }
+265
+266        PROPERTY_PARSERS = {
+267            **parser.Parser.PROPERTY_PARSERS,
+268            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
+269                expressions=self._parse_wrapped_csv(self._parse_property)
+270            ),
+271        }
+272
+273        QUERY_MODIFIER_PARSERS = {
+274            **parser.Parser.QUERY_MODIFIER_PARSERS,
+275            "cluster": lambda self: self._parse_sort(exp.Cluster, TokenType.CLUSTER_BY),
+276            "distribute": lambda self: self._parse_sort(exp.Distribute, TokenType.DISTRIBUTE_BY),
+277            "sort": lambda self: self._parse_sort(exp.Sort, TokenType.SORT_BY),
+278        }
+279
+280        def _parse_types(
+281            self, check_func: bool = False, schema: bool = False
+282        ) -> t.Optional[exp.Expression]:
+283            """
+284            Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to
+285            STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0:
+286
+287                spark-sql (default)> select cast(1234 as varchar(2));
+288                23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support
+289                char/varchar type and simply treats them as string type. Please use string type
+290                directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString
+291                to true, so that Spark treat them as string type as same as Spark 3.0 and earlier
 292
-293            This shows that Spark doesn't truncate the value into '12', which is inconsistent with
-294            what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly.
+293                1234
+294                Time taken: 4.265 seconds, Fetched 1 row(s)
 295
-296            Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html
-297            """
-298            this = super()._parse_types(check_func=check_func, schema=schema)
-299
-300            if this and not schema:
-301                return this.transform(
-302                    lambda node: node.replace(exp.DataType.build("text"))
-303                    if isinstance(node, exp.DataType) and node.is_type("char", "varchar")
-304                    else node,
-305                    copy=False,
-306                )
-307
-308            return this
+296            This shows that Spark doesn't truncate the value into '12', which is inconsistent with
+297            what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly.
+298
+299            Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html
+300            """
+301            this = super()._parse_types(check_func=check_func, schema=schema)
+302
+303            if this and not schema:
+304                return this.transform(
+305                    lambda node: node.replace(exp.DataType.build("text"))
+306                    if isinstance(node, exp.DataType) and node.is_type("char", "varchar")
+307                    else node,
+308                    copy=False,
+309                )
+310
+311            return this
 
    
 
 
@@ -1041,129 +1054,129 @@ Default: 3
    - 
    310    class Generator(generator.Generator):
-311        LIMIT_FETCH = "LIMIT"
-312        TABLESAMPLE_WITH_METHOD = False
-313        TABLESAMPLE_SIZE_IS_PERCENT = True
-314        JOIN_HINTS = False
-315        TABLE_HINTS = False
-316        INDEX_ON = "ON TABLE"
-317
-318        TYPE_MAPPING = {
-319            **generator.Generator.TYPE_MAPPING,
-320            exp.DataType.Type.TEXT: "STRING",
-321            exp.DataType.Type.DATETIME: "TIMESTAMP",
-322            exp.DataType.Type.VARBINARY: "BINARY",
-323            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-324            exp.DataType.Type.BIT: "BOOLEAN",
-325        }
-326
-327        TRANSFORMS = {
-328            **generator.Generator.TRANSFORMS,
-329            exp.Group: transforms.preprocess([transforms.unalias_group]),
-330            exp.Select: transforms.preprocess(
-331                [
-332                    transforms.eliminate_qualify,
-333                    transforms.eliminate_distinct_on,
-334                    transforms.unnest_to_explode,
-335                ]
-336            ),
-337            exp.Property: _property_sql,
-338            exp.ApproxDistinct: approx_count_distinct_sql,
-339            exp.ArrayConcat: rename_func("CONCAT"),
-340            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
-341            exp.ArraySize: rename_func("SIZE"),
-342            exp.ArraySort: _array_sort_sql,
-343            exp.With: no_recursive_cte_sql,
-344            exp.DateAdd: _add_date_sql,
-345            exp.DateDiff: _date_diff_sql,
-346            exp.DateStrToDate: rename_func("TO_DATE"),
-347            exp.DateSub: _add_date_sql,
-348            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)",
-349            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})",
-350            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
-351            exp.FromBase64: rename_func("UNBASE64"),
-352            exp.If: if_sql,
-353            exp.ILike: no_ilike_sql,
-354            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
-355            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
-356            exp.JSONFormat: _json_format_sql,
-357            exp.Left: left_to_substring_sql,
-358            exp.Map: var_map_sql,
-359            exp.Max: max_or_greatest,
-360            exp.Min: min_or_least,
-361            exp.VarMap: var_map_sql,
-362            exp.Create: create_with_partitions_sql,
-363            exp.Quantile: rename_func("PERCENTILE"),
-364            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
-365            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
-366            exp.RegexpSplit: rename_func("SPLIT"),
-367            exp.Right: right_to_substring_sql,
-368            exp.SafeDivide: no_safe_divide_sql,
-369            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
-370            exp.SetAgg: rename_func("COLLECT_SET"),
-371            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
-372            exp.StrPosition: strposition_to_locate_sql,
-373            exp.StrToDate: _str_to_date_sql,
-374            exp.StrToTime: _str_to_time_sql,
-375            exp.StrToUnix: _str_to_unix_sql,
-376            exp.StructExtract: struct_extract_sql,
-377            exp.TimeStrToDate: rename_func("TO_DATE"),
-378            exp.TimeStrToTime: timestrtotime_sql,
-379            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
-380            exp.TimeToStr: _time_to_str,
-381            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
-382            exp.ToBase64: rename_func("BASE64"),
-383            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
-384            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-385            exp.TsOrDsToDate: _to_date_sql,
-386            exp.TryCast: no_trycast_sql,
-387            exp.UnixToStr: lambda self, e: self.func(
-388                "FROM_UNIXTIME", e.this, _time_format(self, e)
-389            ),
-390            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
-391            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
-392            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
-393            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
-394            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
-395            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
-396            exp.LastDateOfMonth: rename_func("LAST_DAY"),
-397            exp.National: lambda self, e: self.national_sql(e, prefix=""),
-398        }
-399
-400        PROPERTIES_LOCATION = {
-401            **generator.Generator.PROPERTIES_LOCATION,
-402            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
-403            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
-404            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-405        }
-406
-407        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
-408            return self.func(
-409                "COLLECT_LIST",
-410                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
-411            )
-412
-413        def with_properties(self, properties: exp.Properties) -> str:
-414            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))
+            
    313    class Generator(generator.Generator):
+314        LIMIT_FETCH = "LIMIT"
+315        TABLESAMPLE_WITH_METHOD = False
+316        TABLESAMPLE_SIZE_IS_PERCENT = True
+317        JOIN_HINTS = False
+318        TABLE_HINTS = False
+319        INDEX_ON = "ON TABLE"
+320
+321        TYPE_MAPPING = {
+322            **generator.Generator.TYPE_MAPPING,
+323            exp.DataType.Type.TEXT: "STRING",
+324            exp.DataType.Type.DATETIME: "TIMESTAMP",
+325            exp.DataType.Type.VARBINARY: "BINARY",
+326            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+327            exp.DataType.Type.BIT: "BOOLEAN",
+328        }
+329
+330        TRANSFORMS = {
+331            **generator.Generator.TRANSFORMS,
+332            exp.Group: transforms.preprocess([transforms.unalias_group]),
+333            exp.Select: transforms.preprocess(
+334                [
+335                    transforms.eliminate_qualify,
+336                    transforms.eliminate_distinct_on,
+337                    transforms.unnest_to_explode,
+338                ]
+339            ),
+340            exp.Property: _property_sql,
+341            exp.ApproxDistinct: approx_count_distinct_sql,
+342            exp.ArrayConcat: rename_func("CONCAT"),
+343            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
+344            exp.ArraySize: rename_func("SIZE"),
+345            exp.ArraySort: _array_sort_sql,
+346            exp.With: no_recursive_cte_sql,
+347            exp.DateAdd: _add_date_sql,
+348            exp.DateDiff: _date_diff_sql,
+349            exp.DateStrToDate: rename_func("TO_DATE"),
+350            exp.DateSub: _add_date_sql,
+351            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)",
+352            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})",
+353            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
+354            exp.FromBase64: rename_func("UNBASE64"),
+355            exp.If: if_sql,
+356            exp.ILike: no_ilike_sql,
+357            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
+358            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
+359            exp.JSONFormat: _json_format_sql,
+360            exp.Left: left_to_substring_sql,
+361            exp.Map: var_map_sql,
+362            exp.Max: max_or_greatest,
+363            exp.Min: min_or_least,
+364            exp.VarMap: var_map_sql,
+365            exp.Create: create_with_partitions_sql,
+366            exp.Quantile: rename_func("PERCENTILE"),
+367            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
+368            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
+369            exp.RegexpSplit: rename_func("SPLIT"),
+370            exp.Right: right_to_substring_sql,
+371            exp.SafeDivide: no_safe_divide_sql,
+372            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
+373            exp.SetAgg: rename_func("COLLECT_SET"),
+374            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
+375            exp.StrPosition: strposition_to_locate_sql,
+376            exp.StrToDate: _str_to_date_sql,
+377            exp.StrToTime: _str_to_time_sql,
+378            exp.StrToUnix: _str_to_unix_sql,
+379            exp.StructExtract: struct_extract_sql,
+380            exp.TimeStrToDate: rename_func("TO_DATE"),
+381            exp.TimeStrToTime: timestrtotime_sql,
+382            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
+383            exp.TimeToStr: _time_to_str,
+384            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
+385            exp.ToBase64: rename_func("BASE64"),
+386            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
+387            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+388            exp.TsOrDsToDate: _to_date_sql,
+389            exp.TryCast: no_trycast_sql,
+390            exp.UnixToStr: lambda self, e: self.func(
+391                "FROM_UNIXTIME", e.this, _time_format(self, e)
+392            ),
+393            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
+394            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
+395            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
+396            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
+397            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
+398            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
+399            exp.LastDateOfMonth: rename_func("LAST_DAY"),
+400            exp.National: lambda self, e: self.national_sql(e, prefix=""),
+401        }
+402
+403        PROPERTIES_LOCATION = {
+404            **generator.Generator.PROPERTIES_LOCATION,
+405            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
+406            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
+407            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+408        }
+409
+410        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
+411            return self.func(
+412                "COLLECT_LIST",
+413                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
+414            )
 415
-416        def datatype_sql(self, expression: exp.DataType) -> str:
-417            if (
-418                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
-419                and not expression.expressions
-420            ):
-421                expression = exp.DataType.build("text")
-422            elif expression.this in exp.DataType.TEMPORAL_TYPES:
-423                expression = exp.DataType.build(expression.this)
-424
-425            return super().datatype_sql(expression)
-426
-427        def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
-428            return super().after_having_modifiers(expression) + [
-429                self.sql(expression, "distribute"),
-430                self.sql(expression, "sort"),
-431                self.sql(expression, "cluster"),
-432            ]
+416        def with_properties(self, properties: exp.Properties) -> str:
+417            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))
+418
+419        def datatype_sql(self, expression: exp.DataType) -> str:
+420            if (
+421                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
+422                and not expression.expressions
+423            ):
+424                expression = exp.DataType.build("text")
+425            elif expression.this in exp.DataType.TEMPORAL_TYPES:
+426                expression = exp.DataType.build(expression.this)
+427
+428            return super().datatype_sql(expression)
+429
+430        def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+431            return super().after_having_modifiers(expression) + [
+432                self.sql(expression, "distribute"),
+433                self.sql(expression, "sort"),
+434                self.sql(expression, "cluster"),
+435            ]
 
    
 
 
@@ -1217,11 +1230,11 @@ Default: True
    - 
    407        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
-408            return self.func(
-409                "COLLECT_LIST",
-410                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
-411            )
+            
    410        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
+411            return self.func(
+412                "COLLECT_LIST",
+413                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
+414            )
 
    
 
 
@@ -1239,8 +1252,8 @@ Default: True
    - 
    413        def with_properties(self, properties: exp.Properties) -> str:
-414            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))
+            
    416        def with_properties(self, properties: exp.Properties) -> str:
+417            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))
 
    
 
 
@@ -1258,16 +1271,16 @@ Default: True
    - 
    416        def datatype_sql(self, expression: exp.DataType) -> str:
-417            if (
-418                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
-419                and not expression.expressions
-420            ):
-421                expression = exp.DataType.build("text")
-422            elif expression.this in exp.DataType.TEMPORAL_TYPES:
-423                expression = exp.DataType.build(expression.this)
-424
-425            return super().datatype_sql(expression)
+            
    419        def datatype_sql(self, expression: exp.DataType) -> str:
+420            if (
+421                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
+422                and not expression.expressions
+423            ):
+424                expression = exp.DataType.build("text")
+425            elif expression.this in exp.DataType.TEMPORAL_TYPES:
+426                expression = exp.DataType.build(expression.this)
+427
+428            return super().datatype_sql(expression)
 
    
 
 
@@ -1285,17 +1298,71 @@ Default: True
    - 
    427        def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
-428            return super().after_having_modifiers(expression) + [
-429                self.sql(expression, "distribute"),
-430                self.sql(expression, "sort"),
-431                self.sql(expression, "cluster"),
-432            ]
+            
    430        def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+431            return super().after_having_modifiers(expression) + [
+432                self.sql(expression, "distribute"),
+433                self.sql(expression, "sort"),
+434                self.sql(expression, "cluster"),
+435            ]
 
    
 
 
     
 
+
    +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -1397,6 +1464,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/mysql.html b/docs/sqlglot/dialects/mysql.html index 489aa39..6106976 100644 --- a/docs/sqlglot/dialects/mysql.html +++ b/docs/sqlglot/dialects/mysql.html @@ -51,6 +51,9 @@
  • show_sql
    • +
  • + can_identify +
    • @@ -989,6 +992,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -1661,6 +1722,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/oracle.html b/docs/sqlglot/dialects/oracle.html index 7258af1..79151f8 100644 --- a/docs/sqlglot/dialects/oracle.html +++ b/docs/sqlglot/dialects/oracle.html @@ -51,6 +51,9 @@
  • xmltable_sql
    • +
  • + can_identify +
    • @@ -443,6 +446,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -825,6 +886,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/postgres.html b/docs/sqlglot/dialects/postgres.html index 2f6dc67..784dafe 100644 --- a/docs/sqlglot/dialects/postgres.html +++ b/docs/sqlglot/dialects/postgres.html @@ -48,6 +48,9 @@
  • Postgres.Generator
    • @@ -679,6 +682,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + + +
    Inherited Members
    @@ -1082,6 +1143,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/presto.html b/docs/sqlglot/dialects/presto.html index d48e50f..125f31e 100644 --- a/docs/sqlglot/dialects/presto.html +++ b/docs/sqlglot/dialects/presto.html @@ -60,6 +60,9 @@
  • offset_limit_modifiers
    • +
  • + can_identify +
    • @@ -194,269 +197,265 @@ 103def _ts_or_ds_to_date_sql(self: generator.Generator, expression: exp.TsOrDsToDate) -> str: 104 time_format = self.format_time(expression) 105 if time_format and time_format not in (Presto.TIME_FORMAT, Presto.DATE_FORMAT): -106 return f"CAST({_str_to_time_sql(self, expression)} AS DATE)" -107 return f"CAST(SUBSTR(CAST({self.sql(expression, 'this')} AS VARCHAR), 1, 10) AS DATE)" +106 return exp.cast(_str_to_time_sql(self, expression), "DATE").sql(dialect="presto") +107 return exp.cast(exp.cast(expression.this, "TIMESTAMP"), "DATE").sql(dialect="presto") 108 109 110def _ts_or_ds_add_sql(self: generator.Generator, expression: exp.TsOrDsAdd) -> str: 111 this = expression.this 112 113 if not isinstance(this, exp.CurrentDate): -114 this = self.func( -115 "DATE_PARSE", -116 self.func( -117 "SUBSTR", -118 this if this.is_string else exp.cast(this, "VARCHAR"), -119 exp.Literal.number(1), -120 exp.Literal.number(10), -121 ), -122 Presto.DATE_FORMAT, -123 ) -124 -125 return self.func( -126 "DATE_ADD", -127 exp.Literal.string(expression.text("unit") or "day"), -128 expression.expression, -129 this, -130 ) -131 -132 -133def _ensure_utf8(charset: exp.Literal) -> None: -134 if charset.name.lower() != "utf-8": -135 raise UnsupportedError(f"Unsupported charset {charset}") -136 -137 -138def _approx_percentile(args: t.List) -> exp.Expression: -139 if len(args) == 4: -140 return exp.ApproxQuantile( -141 this=seq_get(args, 0), -142 weight=seq_get(args, 1), -143 quantile=seq_get(args, 2), -144 accuracy=seq_get(args, 3), -145 ) -146 if len(args) == 3: -147 return exp.ApproxQuantile( -148 this=seq_get(args, 0), quantile=seq_get(args, 1), accuracy=seq_get(args, 2) -149 ) -150 return exp.ApproxQuantile.from_arg_list(args) -151 -152 -153def _from_unixtime(args: t.List) -> exp.Expression: -154 if len(args) == 3: -155 return exp.UnixToTime( -156 this=seq_get(args, 0), -157 hours=seq_get(args, 1), -158 minutes=seq_get(args, 2), -159 ) -160 if len(args) == 2: -161 return exp.UnixToTime(this=seq_get(args, 0), zone=seq_get(args, 1)) -162 -163 return exp.UnixToTime.from_arg_list(args) -164 -165 -166def _unnest_sequence(expression: exp.Expression) -> exp.Expression: -167 if isinstance(expression, exp.Table): -168 if isinstance(expression.this, exp.GenerateSeries): -169 unnest = exp.Unnest(expressions=[expression.this]) -170 -171 if expression.alias: -172 return exp.alias_(unnest, alias="_u", table=[expression.alias], copy=False) -173 return unnest -174 return expression -175 -176 -177class Presto(Dialect): -178 INDEX_OFFSET = 1 -179 NULL_ORDERING = "nulls_are_last" -180 TIME_FORMAT = MySQL.TIME_FORMAT -181 TIME_MAPPING = MySQL.TIME_MAPPING -182 STRICT_STRING_CONCAT = True -183 -184 class Tokenizer(tokens.Tokenizer): -185 KEYWORDS = { -186 **tokens.Tokenizer.KEYWORDS, -187 "START": TokenType.BEGIN, -188 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, -189 "ROW": TokenType.STRUCT, -190 } -191 -192 class Parser(parser.Parser): -193 FUNCTIONS = { -194 **parser.Parser.FUNCTIONS, -195 "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list, -196 "APPROX_PERCENTILE": _approx_percentile, -197 "CARDINALITY": exp.ArraySize.from_arg_list, -198 "CONTAINS": exp.ArrayContains.from_arg_list, -199 "DATE_ADD": lambda args: exp.DateAdd( -200 this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0) -201 ), -202 "DATE_DIFF": lambda args: exp.DateDiff( -203 this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0) -204 ), -205 "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"), -206 "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"), -207 "DATE_TRUNC": date_trunc_to_time, -208 "FROM_HEX": exp.Unhex.from_arg_list, -209 "FROM_UNIXTIME": _from_unixtime, -210 "FROM_UTF8": lambda args: exp.Decode( -211 this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8") -212 ), -213 "NOW": exp.CurrentTimestamp.from_arg_list, -214 "SEQUENCE": exp.GenerateSeries.from_arg_list, -215 "STRPOS": lambda args: exp.StrPosition( -216 this=seq_get(args, 0), substr=seq_get(args, 1), instance=seq_get(args, 2) -217 ), -218 "TO_UNIXTIME": exp.TimeToUnix.from_arg_list, -219 "TO_HEX": exp.Hex.from_arg_list, -220 "TO_UTF8": lambda args: exp.Encode( -221 this=seq_get(args, 0), charset=exp.Literal.string("utf-8") -222 ), -223 } -224 FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy() -225 FUNCTION_PARSERS.pop("TRIM") -226 -227 class Generator(generator.Generator): -228 INTERVAL_ALLOWS_PLURAL_FORM = False -229 JOIN_HINTS = False -230 TABLE_HINTS = False -231 IS_BOOL_ALLOWED = False -232 STRUCT_DELIMITER = ("(", ")") -233 -234 PROPERTIES_LOCATION = { -235 **generator.Generator.PROPERTIES_LOCATION, -236 exp.LocationProperty: exp.Properties.Location.UNSUPPORTED, -237 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -238 } -239 -240 TYPE_MAPPING = { -241 **generator.Generator.TYPE_MAPPING, -242 exp.DataType.Type.INT: "INTEGER", -243 exp.DataType.Type.FLOAT: "REAL", -244 exp.DataType.Type.BINARY: "VARBINARY", -245 exp.DataType.Type.TEXT: "VARCHAR", -246 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", -247 exp.DataType.Type.STRUCT: "ROW", -248 } -249 -250 TRANSFORMS = { -251 **generator.Generator.TRANSFORMS, -252 exp.ApproxDistinct: _approx_distinct_sql, -253 exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"), -254 exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]", -255 exp.ArrayConcat: rename_func("CONCAT"), -256 exp.ArrayContains: rename_func("CONTAINS"), -257 exp.ArraySize: rename_func("CARDINALITY"), -258 exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -259 exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -260 exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})", -261 exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -262 exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -263 exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", -264 exp.Cast: transforms.preprocess([transforms.epoch_cast_to_ts]), -265 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", -266 exp.DataType: _datatype_sql, -267 exp.DateAdd: lambda self, e: self.func( -268 "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this -269 ), -270 exp.DateDiff: lambda self, e: self.func( -271 "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this -272 ), -273 exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.DATE_FORMAT}) AS DATE)", -274 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.DATEINT_FORMAT}) AS INT)", -275 exp.Decode: _decode_sql, -276 exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.DATEINT_FORMAT}) AS DATE)", -277 exp.Encode: _encode_sql, -278 exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'", -279 exp.Group: transforms.preprocess([transforms.unalias_group]), -280 exp.Hex: rename_func("TO_HEX"), -281 exp.If: if_sql, -282 exp.ILike: no_ilike_sql, -283 exp.Initcap: _initcap_sql, -284 exp.Lateral: _explode_to_unnest_sql, -285 exp.Left: left_to_substring_sql, -286 exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"), -287 exp.LogicalAnd: rename_func("BOOL_AND"), -288 exp.LogicalOr: rename_func("BOOL_OR"), -289 exp.Pivot: no_pivot_sql, -290 exp.Quantile: _quantile_sql, -291 exp.Right: right_to_substring_sql, -292 exp.SafeDivide: no_safe_divide_sql, -293 exp.Schema: _schema_sql, -294 exp.Select: transforms.preprocess( -295 [ -296 transforms.eliminate_qualify, -297 transforms.eliminate_distinct_on, -298 transforms.explode_to_unnest, -299 ] -300 ), -301 exp.SortArray: _no_sort_array, -302 exp.StrPosition: rename_func("STRPOS"), -303 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", -304 exp.StrToTime: _str_to_time_sql, -305 exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))", -306 exp.StructExtract: struct_extract_sql, -307 exp.Table: transforms.preprocess([_unnest_sequence]), -308 exp.TimestampTrunc: timestamptrunc_sql, -309 exp.TimeStrToDate: timestrtotime_sql, -310 exp.TimeStrToTime: timestrtotime_sql, -311 exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.TIME_FORMAT}))", -312 exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})", -313 exp.TimeToUnix: rename_func("TO_UNIXTIME"), -314 exp.TryCast: transforms.preprocess([transforms.epoch_cast_to_ts]), -315 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", -316 exp.TsOrDsAdd: _ts_or_ds_add_sql, -317 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, -318 exp.Unhex: rename_func("FROM_HEX"), -319 exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})", -320 exp.UnixToTime: rename_func("FROM_UNIXTIME"), -321 exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)", -322 exp.VariancePop: rename_func("VAR_POP"), -323 exp.With: transforms.preprocess([transforms.add_recursive_cte_column_names]), -324 exp.WithinGroup: transforms.preprocess( -325 [transforms.remove_within_group_for_percentiles] -326 ), -327 } -328 -329 def interval_sql(self, expression: exp.Interval) -> str: -330 unit = self.sql(expression, "unit") -331 if expression.this and unit.lower().startswith("week"): -332 return f"({expression.this.name} * INTERVAL '7' day)" -333 return super().interval_sql(expression) -334 -335 def transaction_sql(self, expression: exp.Transaction) -> str: -336 modes = expression.args.get("modes") -337 modes = f" {', '.join(modes)}" if modes else "" -338 return f"START TRANSACTION{modes}" -339 -340 def generateseries_sql(self, expression: exp.GenerateSeries) -> str: -341 start = expression.args["start"] -342 end = expression.args["end"] -343 step = expression.args.get("step") -344 -345 if isinstance(start, exp.Cast): -346 target_type = start.to -347 elif isinstance(end, exp.Cast): -348 target_type = end.to -349 else: -350 target_type = None -351 -352 if target_type and target_type.is_type("timestamp"): -353 to = target_type.copy() -354 -355 if target_type is start.to: -356 end = exp.cast(end, to) -357 else: -358 start = exp.cast(start, to) -359 -360 return self.func("SEQUENCE", start, end, step) -361 -362 def offset_limit_modifiers( -363 self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit] -364 ) -> t.List[str]: -365 return [ -366 self.sql(expression, "offset"), -367 self.sql(limit), -368 ] +114 this = exp.cast(exp.cast(expression.this, "TIMESTAMP"), "DATE") +115 +116 return self.func( +117 "DATE_ADD", +118 exp.Literal.string(expression.text("unit") or "day"), +119 expression.expression, +120 this, +121 ) +122 +123 +124def _ensure_utf8(charset: exp.Literal) -> None: +125 if charset.name.lower() != "utf-8": +126 raise UnsupportedError(f"Unsupported charset {charset}") +127 +128 +129def _approx_percentile(args: t.List) -> exp.Expression: +130 if len(args) == 4: +131 return exp.ApproxQuantile( +132 this=seq_get(args, 0), +133 weight=seq_get(args, 1), +134 quantile=seq_get(args, 2), +135 accuracy=seq_get(args, 3), +136 ) +137 if len(args) == 3: +138 return exp.ApproxQuantile( +139 this=seq_get(args, 0), quantile=seq_get(args, 1), accuracy=seq_get(args, 2) +140 ) +141 return exp.ApproxQuantile.from_arg_list(args) +142 +143 +144def _from_unixtime(args: t.List) -> exp.Expression: +145 if len(args) == 3: +146 return exp.UnixToTime( +147 this=seq_get(args, 0), +148 hours=seq_get(args, 1), +149 minutes=seq_get(args, 2), +150 ) +151 if len(args) == 2: +152 return exp.UnixToTime(this=seq_get(args, 0), zone=seq_get(args, 1)) +153 +154 return exp.UnixToTime.from_arg_list(args) +155 +156 +157def _unnest_sequence(expression: exp.Expression) -> exp.Expression: +158 if isinstance(expression, exp.Table): +159 if isinstance(expression.this, exp.GenerateSeries): +160 unnest = exp.Unnest(expressions=[expression.this]) +161 +162 if expression.alias: +163 return exp.alias_(unnest, alias="_u", table=[expression.alias], copy=False) +164 return unnest +165 return expression +166 +167 +168class Presto(Dialect): +169 INDEX_OFFSET = 1 +170 NULL_ORDERING = "nulls_are_last" +171 TIME_FORMAT = MySQL.TIME_FORMAT +172 TIME_MAPPING = MySQL.TIME_MAPPING +173 STRICT_STRING_CONCAT = True +174 +175 # https://github.com/trinodb/trino/issues/17 +176 # https://github.com/trinodb/trino/issues/12289 +177 # https://github.com/prestodb/presto/issues/2863 +178 RESOLVES_IDENTIFIERS_AS_UPPERCASE = None +179 +180 class Tokenizer(tokens.Tokenizer): +181 KEYWORDS = { +182 **tokens.Tokenizer.KEYWORDS, +183 "START": TokenType.BEGIN, +184 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, +185 "ROW": TokenType.STRUCT, +186 } +187 +188 class Parser(parser.Parser): +189 FUNCTIONS = { +190 **parser.Parser.FUNCTIONS, +191 "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list, +192 "APPROX_PERCENTILE": _approx_percentile, +193 "CARDINALITY": exp.ArraySize.from_arg_list, +194 "CONTAINS": exp.ArrayContains.from_arg_list, +195 "DATE_ADD": lambda args: exp.DateAdd( +196 this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0) +197 ), +198 "DATE_DIFF": lambda args: exp.DateDiff( +199 this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0) +200 ), +201 "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"), +202 "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"), +203 "DATE_TRUNC": date_trunc_to_time, +204 "FROM_HEX": exp.Unhex.from_arg_list, +205 "FROM_UNIXTIME": _from_unixtime, +206 "FROM_UTF8": lambda args: exp.Decode( +207 this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8") +208 ), +209 "NOW": exp.CurrentTimestamp.from_arg_list, +210 "SEQUENCE": exp.GenerateSeries.from_arg_list, +211 "STRPOS": lambda args: exp.StrPosition( +212 this=seq_get(args, 0), substr=seq_get(args, 1), instance=seq_get(args, 2) +213 ), +214 "TO_UNIXTIME": exp.TimeToUnix.from_arg_list, +215 "TO_HEX": exp.Hex.from_arg_list, +216 "TO_UTF8": lambda args: exp.Encode( +217 this=seq_get(args, 0), charset=exp.Literal.string("utf-8") +218 ), +219 } +220 FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy() +221 FUNCTION_PARSERS.pop("TRIM") +222 +223 class Generator(generator.Generator): +224 INTERVAL_ALLOWS_PLURAL_FORM = False +225 JOIN_HINTS = False +226 TABLE_HINTS = False +227 IS_BOOL_ALLOWED = False +228 STRUCT_DELIMITER = ("(", ")") +229 +230 PROPERTIES_LOCATION = { +231 **generator.Generator.PROPERTIES_LOCATION, +232 exp.LocationProperty: exp.Properties.Location.UNSUPPORTED, +233 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +234 } +235 +236 TYPE_MAPPING = { +237 **generator.Generator.TYPE_MAPPING, +238 exp.DataType.Type.INT: "INTEGER", +239 exp.DataType.Type.FLOAT: "REAL", +240 exp.DataType.Type.BINARY: "VARBINARY", +241 exp.DataType.Type.TEXT: "VARCHAR", +242 exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP", +243 exp.DataType.Type.STRUCT: "ROW", +244 } +245 +246 TRANSFORMS = { +247 **generator.Generator.TRANSFORMS, +248 exp.ApproxDistinct: _approx_distinct_sql, +249 exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"), +250 exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]", +251 exp.ArrayConcat: rename_func("CONCAT"), +252 exp.ArrayContains: rename_func("CONTAINS"), +253 exp.ArraySize: rename_func("CARDINALITY"), +254 exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +255 exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +256 exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})", +257 exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +258 exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +259 exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})", +260 exp.Cast: transforms.preprocess([transforms.epoch_cast_to_ts]), +261 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", +262 exp.DataType: _datatype_sql, +263 exp.DateAdd: lambda self, e: self.func( +264 "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this +265 ), +266 exp.DateDiff: lambda self, e: self.func( +267 "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this +268 ), +269 exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.DATE_FORMAT}) AS DATE)", +270 exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.DATEINT_FORMAT}) AS INT)", +271 exp.Decode: _decode_sql, +272 exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.DATEINT_FORMAT}) AS DATE)", +273 exp.Encode: _encode_sql, +274 exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'", +275 exp.Group: transforms.preprocess([transforms.unalias_group]), +276 exp.Hex: rename_func("TO_HEX"), +277 exp.If: if_sql, +278 exp.ILike: no_ilike_sql, +279 exp.Initcap: _initcap_sql, +280 exp.Lateral: _explode_to_unnest_sql, +281 exp.Left: left_to_substring_sql, +282 exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"), +283 exp.LogicalAnd: rename_func("BOOL_AND"), +284 exp.LogicalOr: rename_func("BOOL_OR"), +285 exp.Pivot: no_pivot_sql, +286 exp.Quantile: _quantile_sql, +287 exp.Right: right_to_substring_sql, +288 exp.SafeDivide: no_safe_divide_sql, +289 exp.Schema: _schema_sql, +290 exp.Select: transforms.preprocess( +291 [ +292 transforms.eliminate_qualify, +293 transforms.eliminate_distinct_on, +294 transforms.explode_to_unnest, +295 ] +296 ), +297 exp.SortArray: _no_sort_array, +298 exp.StrPosition: rename_func("STRPOS"), +299 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", +300 exp.StrToTime: _str_to_time_sql, +301 exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))", +302 exp.StructExtract: struct_extract_sql, +303 exp.Table: transforms.preprocess([_unnest_sequence]), +304 exp.TimestampTrunc: timestamptrunc_sql, +305 exp.TimeStrToDate: timestrtotime_sql, +306 exp.TimeStrToTime: timestrtotime_sql, +307 exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.TIME_FORMAT}))", +308 exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})", +309 exp.TimeToUnix: rename_func("TO_UNIXTIME"), +310 exp.TryCast: transforms.preprocess([transforms.epoch_cast_to_ts]), +311 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)", +312 exp.TsOrDsAdd: _ts_or_ds_add_sql, +313 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, +314 exp.Unhex: rename_func("FROM_HEX"), +315 exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})", +316 exp.UnixToTime: rename_func("FROM_UNIXTIME"), +317 exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)", +318 exp.VariancePop: rename_func("VAR_POP"), +319 exp.With: transforms.preprocess([transforms.add_recursive_cte_column_names]), +320 exp.WithinGroup: transforms.preprocess( +321 [transforms.remove_within_group_for_percentiles] +322 ), +323 } +324 +325 def interval_sql(self, expression: exp.Interval) -> str: +326 unit = self.sql(expression, "unit") +327 if expression.this and unit.lower().startswith("week"): +328 return f"({expression.this.name} * INTERVAL '7' day)" +329 return super().interval_sql(expression) +330 +331 def transaction_sql(self, expression: exp.Transaction) -> str: +332 modes = expression.args.get("modes") +333 modes = f" {', '.join(modes)}" if modes else "" +334 return f"START TRANSACTION{modes}" +335 +336 def generateseries_sql(self, expression: exp.GenerateSeries) -> str: +337 start = expression.args["start"] +338 end = expression.args["end"] +339 step = expression.args.get("step") +340 +341 if isinstance(start, exp.Cast): +342 target_type = start.to +343 elif isinstance(end, exp.Cast): +344 target_type = end.to +345 else: +346 target_type = None +347 +348 if target_type and target_type.is_type("timestamp"): +349 to = target_type.copy() +350 +351 if target_type is start.to: +352 end = exp.cast(end, to) +353 else: +354 start = exp.cast(start, to) +355 +356 return self.func("SEQUENCE", start, end, step) +357 +358 def offset_limit_modifiers( +359 self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit] +360 ) -> t.List[str]: +361 return [ +362 self.sql(expression, "offset"), +363 self.sql(limit), +364 ]
    @@ -472,198 +471,203 @@
    - 
    178class Presto(Dialect):
-179    INDEX_OFFSET = 1
-180    NULL_ORDERING = "nulls_are_last"
-181    TIME_FORMAT = MySQL.TIME_FORMAT
-182    TIME_MAPPING = MySQL.TIME_MAPPING
-183    STRICT_STRING_CONCAT = True
-184
-185    class Tokenizer(tokens.Tokenizer):
-186        KEYWORDS = {
-187            **tokens.Tokenizer.KEYWORDS,
-188            "START": TokenType.BEGIN,
-189            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
-190            "ROW": TokenType.STRUCT,
-191        }
-192
-193    class Parser(parser.Parser):
-194        FUNCTIONS = {
-195            **parser.Parser.FUNCTIONS,
-196            "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list,
-197            "APPROX_PERCENTILE": _approx_percentile,
-198            "CARDINALITY": exp.ArraySize.from_arg_list,
-199            "CONTAINS": exp.ArrayContains.from_arg_list,
-200            "DATE_ADD": lambda args: exp.DateAdd(
-201                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
-202            ),
-203            "DATE_DIFF": lambda args: exp.DateDiff(
-204                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
-205            ),
-206            "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"),
-207            "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"),
-208            "DATE_TRUNC": date_trunc_to_time,
-209            "FROM_HEX": exp.Unhex.from_arg_list,
-210            "FROM_UNIXTIME": _from_unixtime,
-211            "FROM_UTF8": lambda args: exp.Decode(
-212                this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8")
-213            ),
-214            "NOW": exp.CurrentTimestamp.from_arg_list,
-215            "SEQUENCE": exp.GenerateSeries.from_arg_list,
-216            "STRPOS": lambda args: exp.StrPosition(
-217                this=seq_get(args, 0), substr=seq_get(args, 1), instance=seq_get(args, 2)
-218            ),
-219            "TO_UNIXTIME": exp.TimeToUnix.from_arg_list,
-220            "TO_HEX": exp.Hex.from_arg_list,
-221            "TO_UTF8": lambda args: exp.Encode(
-222                this=seq_get(args, 0), charset=exp.Literal.string("utf-8")
-223            ),
-224        }
-225        FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy()
-226        FUNCTION_PARSERS.pop("TRIM")
-227
-228    class Generator(generator.Generator):
-229        INTERVAL_ALLOWS_PLURAL_FORM = False
-230        JOIN_HINTS = False
-231        TABLE_HINTS = False
-232        IS_BOOL_ALLOWED = False
-233        STRUCT_DELIMITER = ("(", ")")
-234
-235        PROPERTIES_LOCATION = {
-236            **generator.Generator.PROPERTIES_LOCATION,
-237            exp.LocationProperty: exp.Properties.Location.UNSUPPORTED,
-238            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-239        }
-240
-241        TYPE_MAPPING = {
-242            **generator.Generator.TYPE_MAPPING,
-243            exp.DataType.Type.INT: "INTEGER",
-244            exp.DataType.Type.FLOAT: "REAL",
-245            exp.DataType.Type.BINARY: "VARBINARY",
-246            exp.DataType.Type.TEXT: "VARCHAR",
-247            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-248            exp.DataType.Type.STRUCT: "ROW",
-249        }
-250
-251        TRANSFORMS = {
-252            **generator.Generator.TRANSFORMS,
-253            exp.ApproxDistinct: _approx_distinct_sql,
-254            exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"),
-255            exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]",
-256            exp.ArrayConcat: rename_func("CONCAT"),
-257            exp.ArrayContains: rename_func("CONTAINS"),
-258            exp.ArraySize: rename_func("CARDINALITY"),
-259            exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-260            exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-261            exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})",
-262            exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-263            exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-264            exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-265            exp.Cast: transforms.preprocess([transforms.epoch_cast_to_ts]),
-266            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
-267            exp.DataType: _datatype_sql,
-268            exp.DateAdd: lambda self, e: self.func(
-269                "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this
-270            ),
-271            exp.DateDiff: lambda self, e: self.func(
-272                "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this
-273            ),
-274            exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.DATE_FORMAT}) AS DATE)",
-275            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.DATEINT_FORMAT}) AS INT)",
-276            exp.Decode: _decode_sql,
-277            exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.DATEINT_FORMAT}) AS DATE)",
-278            exp.Encode: _encode_sql,
-279            exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'",
-280            exp.Group: transforms.preprocess([transforms.unalias_group]),
-281            exp.Hex: rename_func("TO_HEX"),
-282            exp.If: if_sql,
-283            exp.ILike: no_ilike_sql,
-284            exp.Initcap: _initcap_sql,
-285            exp.Lateral: _explode_to_unnest_sql,
-286            exp.Left: left_to_substring_sql,
-287            exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"),
-288            exp.LogicalAnd: rename_func("BOOL_AND"),
-289            exp.LogicalOr: rename_func("BOOL_OR"),
-290            exp.Pivot: no_pivot_sql,
-291            exp.Quantile: _quantile_sql,
-292            exp.Right: right_to_substring_sql,
-293            exp.SafeDivide: no_safe_divide_sql,
-294            exp.Schema: _schema_sql,
-295            exp.Select: transforms.preprocess(
-296                [
-297                    transforms.eliminate_qualify,
-298                    transforms.eliminate_distinct_on,
-299                    transforms.explode_to_unnest,
-300                ]
-301            ),
-302            exp.SortArray: _no_sort_array,
-303            exp.StrPosition: rename_func("STRPOS"),
-304            exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)",
-305            exp.StrToTime: _str_to_time_sql,
-306            exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))",
-307            exp.StructExtract: struct_extract_sql,
-308            exp.Table: transforms.preprocess([_unnest_sequence]),
-309            exp.TimestampTrunc: timestamptrunc_sql,
-310            exp.TimeStrToDate: timestrtotime_sql,
-311            exp.TimeStrToTime: timestrtotime_sql,
-312            exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.TIME_FORMAT}))",
-313            exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})",
-314            exp.TimeToUnix: rename_func("TO_UNIXTIME"),
-315            exp.TryCast: transforms.preprocess([transforms.epoch_cast_to_ts]),
-316            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)",
-317            exp.TsOrDsAdd: _ts_or_ds_add_sql,
-318            exp.TsOrDsToDate: _ts_or_ds_to_date_sql,
-319            exp.Unhex: rename_func("FROM_HEX"),
-320            exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})",
-321            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
-322            exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)",
-323            exp.VariancePop: rename_func("VAR_POP"),
-324            exp.With: transforms.preprocess([transforms.add_recursive_cte_column_names]),
-325            exp.WithinGroup: transforms.preprocess(
-326                [transforms.remove_within_group_for_percentiles]
-327            ),
-328        }
-329
-330        def interval_sql(self, expression: exp.Interval) -> str:
-331            unit = self.sql(expression, "unit")
-332            if expression.this and unit.lower().startswith("week"):
-333                return f"({expression.this.name} * INTERVAL '7' day)"
-334            return super().interval_sql(expression)
-335
-336        def transaction_sql(self, expression: exp.Transaction) -> str:
-337            modes = expression.args.get("modes")
-338            modes = f" {', '.join(modes)}" if modes else ""
-339            return f"START TRANSACTION{modes}"
-340
-341        def generateseries_sql(self, expression: exp.GenerateSeries) -> str:
-342            start = expression.args["start"]
-343            end = expression.args["end"]
-344            step = expression.args.get("step")
-345
-346            if isinstance(start, exp.Cast):
-347                target_type = start.to
-348            elif isinstance(end, exp.Cast):
-349                target_type = end.to
-350            else:
-351                target_type = None
-352
-353            if target_type and target_type.is_type("timestamp"):
-354                to = target_type.copy()
-355
-356                if target_type is start.to:
-357                    end = exp.cast(end, to)
-358                else:
-359                    start = exp.cast(start, to)
-360
-361            return self.func("SEQUENCE", start, end, step)
-362
-363        def offset_limit_modifiers(
-364            self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
-365        ) -> t.List[str]:
-366            return [
-367                self.sql(expression, "offset"),
-368                self.sql(limit),
-369            ]
+            
    169class Presto(Dialect):
+170    INDEX_OFFSET = 1
+171    NULL_ORDERING = "nulls_are_last"
+172    TIME_FORMAT = MySQL.TIME_FORMAT
+173    TIME_MAPPING = MySQL.TIME_MAPPING
+174    STRICT_STRING_CONCAT = True
+175
+176    # https://github.com/trinodb/trino/issues/17
+177    # https://github.com/trinodb/trino/issues/12289
+178    # https://github.com/prestodb/presto/issues/2863
+179    RESOLVES_IDENTIFIERS_AS_UPPERCASE = None
+180
+181    class Tokenizer(tokens.Tokenizer):
+182        KEYWORDS = {
+183            **tokens.Tokenizer.KEYWORDS,
+184            "START": TokenType.BEGIN,
+185            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
+186            "ROW": TokenType.STRUCT,
+187        }
+188
+189    class Parser(parser.Parser):
+190        FUNCTIONS = {
+191            **parser.Parser.FUNCTIONS,
+192            "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list,
+193            "APPROX_PERCENTILE": _approx_percentile,
+194            "CARDINALITY": exp.ArraySize.from_arg_list,
+195            "CONTAINS": exp.ArrayContains.from_arg_list,
+196            "DATE_ADD": lambda args: exp.DateAdd(
+197                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
+198            ),
+199            "DATE_DIFF": lambda args: exp.DateDiff(
+200                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
+201            ),
+202            "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"),
+203            "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"),
+204            "DATE_TRUNC": date_trunc_to_time,
+205            "FROM_HEX": exp.Unhex.from_arg_list,
+206            "FROM_UNIXTIME": _from_unixtime,
+207            "FROM_UTF8": lambda args: exp.Decode(
+208                this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8")
+209            ),
+210            "NOW": exp.CurrentTimestamp.from_arg_list,
+211            "SEQUENCE": exp.GenerateSeries.from_arg_list,
+212            "STRPOS": lambda args: exp.StrPosition(
+213                this=seq_get(args, 0), substr=seq_get(args, 1), instance=seq_get(args, 2)
+214            ),
+215            "TO_UNIXTIME": exp.TimeToUnix.from_arg_list,
+216            "TO_HEX": exp.Hex.from_arg_list,
+217            "TO_UTF8": lambda args: exp.Encode(
+218                this=seq_get(args, 0), charset=exp.Literal.string("utf-8")
+219            ),
+220        }
+221        FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy()
+222        FUNCTION_PARSERS.pop("TRIM")
+223
+224    class Generator(generator.Generator):
+225        INTERVAL_ALLOWS_PLURAL_FORM = False
+226        JOIN_HINTS = False
+227        TABLE_HINTS = False
+228        IS_BOOL_ALLOWED = False
+229        STRUCT_DELIMITER = ("(", ")")
+230
+231        PROPERTIES_LOCATION = {
+232            **generator.Generator.PROPERTIES_LOCATION,
+233            exp.LocationProperty: exp.Properties.Location.UNSUPPORTED,
+234            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+235        }
+236
+237        TYPE_MAPPING = {
+238            **generator.Generator.TYPE_MAPPING,
+239            exp.DataType.Type.INT: "INTEGER",
+240            exp.DataType.Type.FLOAT: "REAL",
+241            exp.DataType.Type.BINARY: "VARBINARY",
+242            exp.DataType.Type.TEXT: "VARCHAR",
+243            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+244            exp.DataType.Type.STRUCT: "ROW",
+245        }
+246
+247        TRANSFORMS = {
+248            **generator.Generator.TRANSFORMS,
+249            exp.ApproxDistinct: _approx_distinct_sql,
+250            exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"),
+251            exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]",
+252            exp.ArrayConcat: rename_func("CONCAT"),
+253            exp.ArrayContains: rename_func("CONTAINS"),
+254            exp.ArraySize: rename_func("CARDINALITY"),
+255            exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+256            exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+257            exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})",
+258            exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+259            exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+260            exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+261            exp.Cast: transforms.preprocess([transforms.epoch_cast_to_ts]),
+262            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
+263            exp.DataType: _datatype_sql,
+264            exp.DateAdd: lambda self, e: self.func(
+265                "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this
+266            ),
+267            exp.DateDiff: lambda self, e: self.func(
+268                "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this
+269            ),
+270            exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.DATE_FORMAT}) AS DATE)",
+271            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.DATEINT_FORMAT}) AS INT)",
+272            exp.Decode: _decode_sql,
+273            exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.DATEINT_FORMAT}) AS DATE)",
+274            exp.Encode: _encode_sql,
+275            exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'",
+276            exp.Group: transforms.preprocess([transforms.unalias_group]),
+277            exp.Hex: rename_func("TO_HEX"),
+278            exp.If: if_sql,
+279            exp.ILike: no_ilike_sql,
+280            exp.Initcap: _initcap_sql,
+281            exp.Lateral: _explode_to_unnest_sql,
+282            exp.Left: left_to_substring_sql,
+283            exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"),
+284            exp.LogicalAnd: rename_func("BOOL_AND"),
+285            exp.LogicalOr: rename_func("BOOL_OR"),
+286            exp.Pivot: no_pivot_sql,
+287            exp.Quantile: _quantile_sql,
+288            exp.Right: right_to_substring_sql,
+289            exp.SafeDivide: no_safe_divide_sql,
+290            exp.Schema: _schema_sql,
+291            exp.Select: transforms.preprocess(
+292                [
+293                    transforms.eliminate_qualify,
+294                    transforms.eliminate_distinct_on,
+295                    transforms.explode_to_unnest,
+296                ]
+297            ),
+298            exp.SortArray: _no_sort_array,
+299            exp.StrPosition: rename_func("STRPOS"),
+300            exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)",
+301            exp.StrToTime: _str_to_time_sql,
+302            exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))",
+303            exp.StructExtract: struct_extract_sql,
+304            exp.Table: transforms.preprocess([_unnest_sequence]),
+305            exp.TimestampTrunc: timestamptrunc_sql,
+306            exp.TimeStrToDate: timestrtotime_sql,
+307            exp.TimeStrToTime: timestrtotime_sql,
+308            exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.TIME_FORMAT}))",
+309            exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})",
+310            exp.TimeToUnix: rename_func("TO_UNIXTIME"),
+311            exp.TryCast: transforms.preprocess([transforms.epoch_cast_to_ts]),
+312            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)",
+313            exp.TsOrDsAdd: _ts_or_ds_add_sql,
+314            exp.TsOrDsToDate: _ts_or_ds_to_date_sql,
+315            exp.Unhex: rename_func("FROM_HEX"),
+316            exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})",
+317            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
+318            exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)",
+319            exp.VariancePop: rename_func("VAR_POP"),
+320            exp.With: transforms.preprocess([transforms.add_recursive_cte_column_names]),
+321            exp.WithinGroup: transforms.preprocess(
+322                [transforms.remove_within_group_for_percentiles]
+323            ),
+324        }
+325
+326        def interval_sql(self, expression: exp.Interval) -> str:
+327            unit = self.sql(expression, "unit")
+328            if expression.this and unit.lower().startswith("week"):
+329                return f"({expression.this.name} * INTERVAL '7' day)"
+330            return super().interval_sql(expression)
+331
+332        def transaction_sql(self, expression: exp.Transaction) -> str:
+333            modes = expression.args.get("modes")
+334            modes = f" {', '.join(modes)}" if modes else ""
+335            return f"START TRANSACTION{modes}"
+336
+337        def generateseries_sql(self, expression: exp.GenerateSeries) -> str:
+338            start = expression.args["start"]
+339            end = expression.args["end"]
+340            step = expression.args.get("step")
+341
+342            if isinstance(start, exp.Cast):
+343                target_type = start.to
+344            elif isinstance(end, exp.Cast):
+345                target_type = end.to
+346            else:
+347                target_type = None
+348
+349            if target_type and target_type.is_type("timestamp"):
+350                to = target_type.copy()
+351
+352                if target_type is start.to:
+353                    end = exp.cast(end, to)
+354                else:
+355                    start = exp.cast(start, to)
+356
+357            return self.func("SEQUENCE", start, end, step)
+358
+359        def offset_limit_modifiers(
+360            self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
+361        ) -> t.List[str]:
+362            return [
+363                self.sql(expression, "offset"),
+364                self.sql(limit),
+365            ]
 
    
 
 
@@ -675,6 +679,10 @@
                                     
     
-            
    185    class Tokenizer(tokens.Tokenizer):
-186        KEYWORDS = {
-187            **tokens.Tokenizer.KEYWORDS,
-188            "START": TokenType.BEGIN,
-189            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
-190            "ROW": TokenType.STRUCT,
-191        }
+            
    181    class Tokenizer(tokens.Tokenizer):
+182        KEYWORDS = {
+183            **tokens.Tokenizer.KEYWORDS,
+184            "START": TokenType.BEGIN,
+185            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
+186            "ROW": TokenType.STRUCT,
+187        }
 
    
 
 
@@ -733,40 +741,40 @@
 
     
    
     
-            
    193    class Parser(parser.Parser):
-194        FUNCTIONS = {
-195            **parser.Parser.FUNCTIONS,
-196            "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list,
-197            "APPROX_PERCENTILE": _approx_percentile,
-198            "CARDINALITY": exp.ArraySize.from_arg_list,
-199            "CONTAINS": exp.ArrayContains.from_arg_list,
-200            "DATE_ADD": lambda args: exp.DateAdd(
-201                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
-202            ),
-203            "DATE_DIFF": lambda args: exp.DateDiff(
-204                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
-205            ),
-206            "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"),
-207            "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"),
-208            "DATE_TRUNC": date_trunc_to_time,
-209            "FROM_HEX": exp.Unhex.from_arg_list,
-210            "FROM_UNIXTIME": _from_unixtime,
-211            "FROM_UTF8": lambda args: exp.Decode(
-212                this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8")
-213            ),
-214            "NOW": exp.CurrentTimestamp.from_arg_list,
-215            "SEQUENCE": exp.GenerateSeries.from_arg_list,
-216            "STRPOS": lambda args: exp.StrPosition(
-217                this=seq_get(args, 0), substr=seq_get(args, 1), instance=seq_get(args, 2)
-218            ),
-219            "TO_UNIXTIME": exp.TimeToUnix.from_arg_list,
-220            "TO_HEX": exp.Hex.from_arg_list,
-221            "TO_UTF8": lambda args: exp.Encode(
-222                this=seq_get(args, 0), charset=exp.Literal.string("utf-8")
-223            ),
-224        }
-225        FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy()
-226        FUNCTION_PARSERS.pop("TRIM")
+            
    189    class Parser(parser.Parser):
+190        FUNCTIONS = {
+191            **parser.Parser.FUNCTIONS,
+192            "APPROX_DISTINCT": exp.ApproxDistinct.from_arg_list,
+193            "APPROX_PERCENTILE": _approx_percentile,
+194            "CARDINALITY": exp.ArraySize.from_arg_list,
+195            "CONTAINS": exp.ArrayContains.from_arg_list,
+196            "DATE_ADD": lambda args: exp.DateAdd(
+197                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
+198            ),
+199            "DATE_DIFF": lambda args: exp.DateDiff(
+200                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
+201            ),
+202            "DATE_FORMAT": format_time_lambda(exp.TimeToStr, "presto"),
+203            "DATE_PARSE": format_time_lambda(exp.StrToTime, "presto"),
+204            "DATE_TRUNC": date_trunc_to_time,
+205            "FROM_HEX": exp.Unhex.from_arg_list,
+206            "FROM_UNIXTIME": _from_unixtime,
+207            "FROM_UTF8": lambda args: exp.Decode(
+208                this=seq_get(args, 0), replace=seq_get(args, 1), charset=exp.Literal.string("utf-8")
+209            ),
+210            "NOW": exp.CurrentTimestamp.from_arg_list,
+211            "SEQUENCE": exp.GenerateSeries.from_arg_list,
+212            "STRPOS": lambda args: exp.StrPosition(
+213                this=seq_get(args, 0), substr=seq_get(args, 1), instance=seq_get(args, 2)
+214            ),
+215            "TO_UNIXTIME": exp.TimeToUnix.from_arg_list,
+216            "TO_HEX": exp.Hex.from_arg_list,
+217            "TO_UTF8": lambda args: exp.Encode(
+218                this=seq_get(args, 0), charset=exp.Literal.string("utf-8")
+219            ),
+220        }
+221        FUNCTION_PARSERS = parser.Parser.FUNCTION_PARSERS.copy()
+222        FUNCTION_PARSERS.pop("TRIM")
 
    
 
 
@@ -815,148 +823,148 @@ Default: 3
 
     
    
     
-            
    228    class Generator(generator.Generator):
-229        INTERVAL_ALLOWS_PLURAL_FORM = False
-230        JOIN_HINTS = False
-231        TABLE_HINTS = False
-232        IS_BOOL_ALLOWED = False
-233        STRUCT_DELIMITER = ("(", ")")
-234
-235        PROPERTIES_LOCATION = {
-236            **generator.Generator.PROPERTIES_LOCATION,
-237            exp.LocationProperty: exp.Properties.Location.UNSUPPORTED,
-238            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-239        }
-240
-241        TYPE_MAPPING = {
-242            **generator.Generator.TYPE_MAPPING,
-243            exp.DataType.Type.INT: "INTEGER",
-244            exp.DataType.Type.FLOAT: "REAL",
-245            exp.DataType.Type.BINARY: "VARBINARY",
-246            exp.DataType.Type.TEXT: "VARCHAR",
-247            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
-248            exp.DataType.Type.STRUCT: "ROW",
-249        }
-250
-251        TRANSFORMS = {
-252            **generator.Generator.TRANSFORMS,
-253            exp.ApproxDistinct: _approx_distinct_sql,
-254            exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"),
-255            exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]",
-256            exp.ArrayConcat: rename_func("CONCAT"),
-257            exp.ArrayContains: rename_func("CONTAINS"),
-258            exp.ArraySize: rename_func("CARDINALITY"),
-259            exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-260            exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-261            exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})",
-262            exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-263            exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-264            exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
-265            exp.Cast: transforms.preprocess([transforms.epoch_cast_to_ts]),
-266            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
-267            exp.DataType: _datatype_sql,
-268            exp.DateAdd: lambda self, e: self.func(
-269                "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this
-270            ),
-271            exp.DateDiff: lambda self, e: self.func(
-272                "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this
-273            ),
-274            exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.DATE_FORMAT}) AS DATE)",
-275            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.DATEINT_FORMAT}) AS INT)",
-276            exp.Decode: _decode_sql,
-277            exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.DATEINT_FORMAT}) AS DATE)",
-278            exp.Encode: _encode_sql,
-279            exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'",
-280            exp.Group: transforms.preprocess([transforms.unalias_group]),
-281            exp.Hex: rename_func("TO_HEX"),
-282            exp.If: if_sql,
-283            exp.ILike: no_ilike_sql,
-284            exp.Initcap: _initcap_sql,
-285            exp.Lateral: _explode_to_unnest_sql,
-286            exp.Left: left_to_substring_sql,
-287            exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"),
-288            exp.LogicalAnd: rename_func("BOOL_AND"),
-289            exp.LogicalOr: rename_func("BOOL_OR"),
-290            exp.Pivot: no_pivot_sql,
-291            exp.Quantile: _quantile_sql,
-292            exp.Right: right_to_substring_sql,
-293            exp.SafeDivide: no_safe_divide_sql,
-294            exp.Schema: _schema_sql,
-295            exp.Select: transforms.preprocess(
-296                [
-297                    transforms.eliminate_qualify,
-298                    transforms.eliminate_distinct_on,
-299                    transforms.explode_to_unnest,
-300                ]
-301            ),
-302            exp.SortArray: _no_sort_array,
-303            exp.StrPosition: rename_func("STRPOS"),
-304            exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)",
-305            exp.StrToTime: _str_to_time_sql,
-306            exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))",
-307            exp.StructExtract: struct_extract_sql,
-308            exp.Table: transforms.preprocess([_unnest_sequence]),
-309            exp.TimestampTrunc: timestamptrunc_sql,
-310            exp.TimeStrToDate: timestrtotime_sql,
-311            exp.TimeStrToTime: timestrtotime_sql,
-312            exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.TIME_FORMAT}))",
-313            exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})",
-314            exp.TimeToUnix: rename_func("TO_UNIXTIME"),
-315            exp.TryCast: transforms.preprocess([transforms.epoch_cast_to_ts]),
-316            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)",
-317            exp.TsOrDsAdd: _ts_or_ds_add_sql,
-318            exp.TsOrDsToDate: _ts_or_ds_to_date_sql,
-319            exp.Unhex: rename_func("FROM_HEX"),
-320            exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})",
-321            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
-322            exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)",
-323            exp.VariancePop: rename_func("VAR_POP"),
-324            exp.With: transforms.preprocess([transforms.add_recursive_cte_column_names]),
-325            exp.WithinGroup: transforms.preprocess(
-326                [transforms.remove_within_group_for_percentiles]
-327            ),
-328        }
-329
-330        def interval_sql(self, expression: exp.Interval) -> str:
-331            unit = self.sql(expression, "unit")
-332            if expression.this and unit.lower().startswith("week"):
-333                return f"({expression.this.name} * INTERVAL '7' day)"
-334            return super().interval_sql(expression)
-335
-336        def transaction_sql(self, expression: exp.Transaction) -> str:
-337            modes = expression.args.get("modes")
-338            modes = f" {', '.join(modes)}" if modes else ""
-339            return f"START TRANSACTION{modes}"
-340
-341        def generateseries_sql(self, expression: exp.GenerateSeries) -> str:
-342            start = expression.args["start"]
-343            end = expression.args["end"]
-344            step = expression.args.get("step")
-345
-346            if isinstance(start, exp.Cast):
-347                target_type = start.to
-348            elif isinstance(end, exp.Cast):
-349                target_type = end.to
-350            else:
-351                target_type = None
-352
-353            if target_type and target_type.is_type("timestamp"):
-354                to = target_type.copy()
-355
-356                if target_type is start.to:
-357                    end = exp.cast(end, to)
-358                else:
-359                    start = exp.cast(start, to)
-360
-361            return self.func("SEQUENCE", start, end, step)
-362
-363        def offset_limit_modifiers(
-364            self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
-365        ) -> t.List[str]:
-366            return [
-367                self.sql(expression, "offset"),
-368                self.sql(limit),
-369            ]
+            
    224    class Generator(generator.Generator):
+225        INTERVAL_ALLOWS_PLURAL_FORM = False
+226        JOIN_HINTS = False
+227        TABLE_HINTS = False
+228        IS_BOOL_ALLOWED = False
+229        STRUCT_DELIMITER = ("(", ")")
+230
+231        PROPERTIES_LOCATION = {
+232            **generator.Generator.PROPERTIES_LOCATION,
+233            exp.LocationProperty: exp.Properties.Location.UNSUPPORTED,
+234            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+235        }
+236
+237        TYPE_MAPPING = {
+238            **generator.Generator.TYPE_MAPPING,
+239            exp.DataType.Type.INT: "INTEGER",
+240            exp.DataType.Type.FLOAT: "REAL",
+241            exp.DataType.Type.BINARY: "VARBINARY",
+242            exp.DataType.Type.TEXT: "VARCHAR",
+243            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
+244            exp.DataType.Type.STRUCT: "ROW",
+245        }
+246
+247        TRANSFORMS = {
+248            **generator.Generator.TRANSFORMS,
+249            exp.ApproxDistinct: _approx_distinct_sql,
+250            exp.ApproxQuantile: rename_func("APPROX_PERCENTILE"),
+251            exp.Array: lambda self, e: f"ARRAY[{self.expressions(e, flat=True)}]",
+252            exp.ArrayConcat: rename_func("CONCAT"),
+253            exp.ArrayContains: rename_func("CONTAINS"),
+254            exp.ArraySize: rename_func("CARDINALITY"),
+255            exp.BitwiseAnd: lambda self, e: f"BITWISE_AND({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+256            exp.BitwiseLeftShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_LEFT({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+257            exp.BitwiseNot: lambda self, e: f"BITWISE_NOT({self.sql(e, 'this')})",
+258            exp.BitwiseOr: lambda self, e: f"BITWISE_OR({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+259            exp.BitwiseRightShift: lambda self, e: f"BITWISE_ARITHMETIC_SHIFT_RIGHT({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+260            exp.BitwiseXor: lambda self, e: f"BITWISE_XOR({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
+261            exp.Cast: transforms.preprocess([transforms.epoch_cast_to_ts]),
+262            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
+263            exp.DataType: _datatype_sql,
+264            exp.DateAdd: lambda self, e: self.func(
+265                "DATE_ADD", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this
+266            ),
+267            exp.DateDiff: lambda self, e: self.func(
+268                "DATE_DIFF", exp.Literal.string(e.text("unit") or "day"), e.expression, e.this
+269            ),
+270            exp.DateStrToDate: lambda self, e: f"CAST(DATE_PARSE({self.sql(e, 'this')}, {Presto.DATE_FORMAT}) AS DATE)",
+271            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Presto.DATEINT_FORMAT}) AS INT)",
+272            exp.Decode: _decode_sql,
+273            exp.DiToDate: lambda self, e: f"CAST(DATE_PARSE(CAST({self.sql(e, 'this')} AS VARCHAR), {Presto.DATEINT_FORMAT}) AS DATE)",
+274            exp.Encode: _encode_sql,
+275            exp.FileFormatProperty: lambda self, e: f"FORMAT='{e.name.upper()}'",
+276            exp.Group: transforms.preprocess([transforms.unalias_group]),
+277            exp.Hex: rename_func("TO_HEX"),
+278            exp.If: if_sql,
+279            exp.ILike: no_ilike_sql,
+280            exp.Initcap: _initcap_sql,
+281            exp.Lateral: _explode_to_unnest_sql,
+282            exp.Left: left_to_substring_sql,
+283            exp.Levenshtein: rename_func("LEVENSHTEIN_DISTANCE"),
+284            exp.LogicalAnd: rename_func("BOOL_AND"),
+285            exp.LogicalOr: rename_func("BOOL_OR"),
+286            exp.Pivot: no_pivot_sql,
+287            exp.Quantile: _quantile_sql,
+288            exp.Right: right_to_substring_sql,
+289            exp.SafeDivide: no_safe_divide_sql,
+290            exp.Schema: _schema_sql,
+291            exp.Select: transforms.preprocess(
+292                [
+293                    transforms.eliminate_qualify,
+294                    transforms.eliminate_distinct_on,
+295                    transforms.explode_to_unnest,
+296                ]
+297            ),
+298            exp.SortArray: _no_sort_array,
+299            exp.StrPosition: rename_func("STRPOS"),
+300            exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)",
+301            exp.StrToTime: _str_to_time_sql,
+302            exp.StrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {self.format_time(e)}))",
+303            exp.StructExtract: struct_extract_sql,
+304            exp.Table: transforms.preprocess([_unnest_sequence]),
+305            exp.TimestampTrunc: timestamptrunc_sql,
+306            exp.TimeStrToDate: timestrtotime_sql,
+307            exp.TimeStrToTime: timestrtotime_sql,
+308            exp.TimeStrToUnix: lambda self, e: f"TO_UNIXTIME(DATE_PARSE({self.sql(e, 'this')}, {Presto.TIME_FORMAT}))",
+309            exp.TimeToStr: lambda self, e: f"DATE_FORMAT({self.sql(e, 'this')}, {self.format_time(e)})",
+310            exp.TimeToUnix: rename_func("TO_UNIXTIME"),
+311            exp.TryCast: transforms.preprocess([transforms.epoch_cast_to_ts]),
+312            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS VARCHAR), '-', ''), 1, 8) AS INT)",
+313            exp.TsOrDsAdd: _ts_or_ds_add_sql,
+314            exp.TsOrDsToDate: _ts_or_ds_to_date_sql,
+315            exp.Unhex: rename_func("FROM_HEX"),
+316            exp.UnixToStr: lambda self, e: f"DATE_FORMAT(FROM_UNIXTIME({self.sql(e, 'this')}), {self.format_time(e)})",
+317            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
+318            exp.UnixToTimeStr: lambda self, e: f"CAST(FROM_UNIXTIME({self.sql(e, 'this')}) AS VARCHAR)",
+319            exp.VariancePop: rename_func("VAR_POP"),
+320            exp.With: transforms.preprocess([transforms.add_recursive_cte_column_names]),
+321            exp.WithinGroup: transforms.preprocess(
+322                [transforms.remove_within_group_for_percentiles]
+323            ),
+324        }
+325
+326        def interval_sql(self, expression: exp.Interval) -> str:
+327            unit = self.sql(expression, "unit")
+328            if expression.this and unit.lower().startswith("week"):
+329                return f"({expression.this.name} * INTERVAL '7' day)"
+330            return super().interval_sql(expression)
+331
+332        def transaction_sql(self, expression: exp.Transaction) -> str:
+333            modes = expression.args.get("modes")
+334            modes = f" {', '.join(modes)}" if modes else ""
+335            return f"START TRANSACTION{modes}"
+336
+337        def generateseries_sql(self, expression: exp.GenerateSeries) -> str:
+338            start = expression.args["start"]
+339            end = expression.args["end"]
+340            step = expression.args.get("step")
+341
+342            if isinstance(start, exp.Cast):
+343                target_type = start.to
+344            elif isinstance(end, exp.Cast):
+345                target_type = end.to
+346            else:
+347                target_type = None
+348
+349            if target_type and target_type.is_type("timestamp"):
+350                to = target_type.copy()
+351
+352                if target_type is start.to:
+353                    end = exp.cast(end, to)
+354                else:
+355                    start = exp.cast(start, to)
+356
+357            return self.func("SEQUENCE", start, end, step)
+358
+359        def offset_limit_modifiers(
+360            self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
+361        ) -> t.List[str]:
+362            return [
+363                self.sql(expression, "offset"),
+364                self.sql(limit),
+365            ]
 
    
 
 
@@ -1010,11 +1018,11 @@ Default: True
 
     
    
     
-            
    330        def interval_sql(self, expression: exp.Interval) -> str:
-331            unit = self.sql(expression, "unit")
-332            if expression.this and unit.lower().startswith("week"):
-333                return f"({expression.this.name} * INTERVAL '7' day)"
-334            return super().interval_sql(expression)
+            
    326        def interval_sql(self, expression: exp.Interval) -> str:
+327            unit = self.sql(expression, "unit")
+328            if expression.this and unit.lower().startswith("week"):
+329                return f"({expression.this.name} * INTERVAL '7' day)"
+330            return super().interval_sql(expression)
 
    
 
 
@@ -1032,10 +1040,10 @@ Default: True
 
     
    
     
-            
    336        def transaction_sql(self, expression: exp.Transaction) -> str:
-337            modes = expression.args.get("modes")
-338            modes = f" {', '.join(modes)}" if modes else ""
-339            return f"START TRANSACTION{modes}"
+            
    332        def transaction_sql(self, expression: exp.Transaction) -> str:
+333            modes = expression.args.get("modes")
+334            modes = f" {', '.join(modes)}" if modes else ""
+335            return f"START TRANSACTION{modes}"
 
    
 
 
@@ -1053,27 +1061,27 @@ Default: True
 
     
    
     
-            
    341        def generateseries_sql(self, expression: exp.GenerateSeries) -> str:
-342            start = expression.args["start"]
-343            end = expression.args["end"]
-344            step = expression.args.get("step")
-345
-346            if isinstance(start, exp.Cast):
-347                target_type = start.to
-348            elif isinstance(end, exp.Cast):
-349                target_type = end.to
-350            else:
-351                target_type = None
-352
-353            if target_type and target_type.is_type("timestamp"):
-354                to = target_type.copy()
-355
-356                if target_type is start.to:
-357                    end = exp.cast(end, to)
-358                else:
-359                    start = exp.cast(start, to)
-360
-361            return self.func("SEQUENCE", start, end, step)
+            
    337        def generateseries_sql(self, expression: exp.GenerateSeries) -> str:
+338            start = expression.args["start"]
+339            end = expression.args["end"]
+340            step = expression.args.get("step")
+341
+342            if isinstance(start, exp.Cast):
+343                target_type = start.to
+344            elif isinstance(end, exp.Cast):
+345                target_type = end.to
+346            else:
+347                target_type = None
+348
+349            if target_type and target_type.is_type("timestamp"):
+350                to = target_type.copy()
+351
+352                if target_type is start.to:
+353                    end = exp.cast(end, to)
+354                else:
+355                    start = exp.cast(start, to)
+356
+357            return self.func("SEQUENCE", start, end, step)
 
    
 
 
@@ -1091,18 +1099,72 @@ Default: True
 
     
    
     
-            
    363        def offset_limit_modifiers(
-364            self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
-365        ) -> t.List[str]:
-366            return [
-367                self.sql(expression, "offset"),
-368                self.sql(limit),
-369            ]
+            
    359        def offset_limit_modifiers(
+360            self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
+361        ) -> t.List[str]:
+362            return [
+363                self.sql(expression, "offset"),
+364                self.sql(limit),
+365            ]
 
    
 
 
     
 
+                            
    
+                            
    
+                                        
+
    
+                    
    @classmethod
    
+
+        def
+        can_identify(text: str, identify: str | bool = 'safe') -> bool:
+
+                
+
+    
    
+    
+            
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    
+
+
+            
    Checks if text can be identified given an identify option.
    
+
+
    Arguments:
    
+
+
      
+
    • text:  The text to check.
      • 
+
    • identify:  "always" or True: Always returns true.
+"safe": True if the identifier is case-insensitive.
      • 
+
    
+
+
    Returns:
    
+
+
    
+  
    Whether or not the given text can be identified.
    
+
    
+
    
+
+
                             
    
                             
    
                                 
    Inherited Members
    
@@ -1206,6 +1268,7 @@ Default: True
                 
    pragma_sql
    
                 
    lock_sql
    
                 
    literal_sql
    
+                
    escape_str
    
                 
    loaddata_sql
    
                 
    null_sql
    
                 
    boolean_sql
    
diff --git a/docs/sqlglot/dialects/redshift.html b/docs/sqlglot/dialects/redshift.html
index dfee18f..4224fdb 100644
--- a/docs/sqlglot/dialects/redshift.html
+++ b/docs/sqlglot/dialects/redshift.html
@@ -57,6 +57,9 @@
                                     
  • 
                                             datatype_sql
                                     
    • 
+                                    
  • 
+                                            can_identify
+                                    
    • 
                             
 
                         
@@ -102,167 +105,170 @@
  14
  15
  16class Redshift(Postgres):
- 17    TIME_FORMAT = "'YYYY-MM-DD HH:MI:SS'"
- 18    TIME_MAPPING = {
- 19        **Postgres.TIME_MAPPING,
- 20        "MON": "%b",
- 21        "HH": "%H",
- 22    }
- 23
- 24    class Parser(Postgres.Parser):
- 25        FUNCTIONS = {
- 26            **Postgres.Parser.FUNCTIONS,
- 27            "DATEADD": lambda args: exp.DateAdd(
- 28                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
- 29                expression=seq_get(args, 1),
- 30                unit=seq_get(args, 0),
- 31            ),
- 32            "DATEDIFF": lambda args: exp.DateDiff(
- 33                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
- 34                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
- 35                unit=seq_get(args, 0),
- 36            ),
- 37            "NVL": exp.Coalesce.from_arg_list,
- 38            "STRTOL": exp.FromBase.from_arg_list,
- 39        }
- 40
- 41        CONVERT_TYPE_FIRST = True
- 42
- 43        def _parse_types(
- 44            self, check_func: bool = False, schema: bool = False
- 45        ) -> t.Optional[exp.Expression]:
- 46            this = super()._parse_types(check_func=check_func, schema=schema)
- 47
- 48            if (
- 49                isinstance(this, exp.DataType)
- 50                and this.is_type("varchar")
- 51                and this.expressions
- 52                and this.expressions[0].this == exp.column("MAX")
- 53            ):
- 54                this.set("expressions", [exp.var("MAX")])
- 55
- 56            return this
- 57
- 58    class Tokenizer(Postgres.Tokenizer):
- 59        BIT_STRINGS = []
- 60        HEX_STRINGS = []
- 61        STRING_ESCAPES = ["\\"]
- 62
- 63        KEYWORDS = {
- 64            **Postgres.Tokenizer.KEYWORDS,
- 65            "HLLSKETCH": TokenType.HLLSKETCH,
- 66            "SUPER": TokenType.SUPER,
- 67            "SYSDATE": TokenType.CURRENT_TIMESTAMP,
- 68            "TIME": TokenType.TIMESTAMP,
- 69            "TIMETZ": TokenType.TIMESTAMPTZ,
- 70            "TOP": TokenType.TOP,
- 71            "UNLOAD": TokenType.COMMAND,
- 72            "VARBYTE": TokenType.VARBINARY,
- 73        }
- 74
- 75        # Redshift allows # to appear as a table identifier prefix
- 76        SINGLE_TOKENS = Postgres.Tokenizer.SINGLE_TOKENS.copy()
- 77        SINGLE_TOKENS.pop("#")
- 78
- 79    class Generator(Postgres.Generator):
- 80        LOCKING_READS_SUPPORTED = False
- 81        RENAME_TABLE_WITH_DB = False
- 82
- 83        TYPE_MAPPING = {
- 84            **Postgres.Generator.TYPE_MAPPING,
- 85            exp.DataType.Type.BINARY: "VARBYTE",
- 86            exp.DataType.Type.VARBINARY: "VARBYTE",
- 87            exp.DataType.Type.INT: "INTEGER",
- 88        }
- 89
- 90        PROPERTIES_LOCATION = {
- 91            **Postgres.Generator.PROPERTIES_LOCATION,
- 92            exp.LikeProperty: exp.Properties.Location.POST_WITH,
- 93        }
- 94
- 95        TRANSFORMS = {
- 96            **Postgres.Generator.TRANSFORMS,
- 97            exp.Concat: concat_to_dpipe_sql,
- 98            exp.CurrentTimestamp: lambda self, e: "SYSDATE",
- 99            exp.DateAdd: lambda self, e: self.func(
-100                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
-101            ),
-102            exp.DateDiff: lambda self, e: self.func(
-103                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
+ 17    # https://docs.aws.amazon.com/redshift/latest/dg/r_names.html
+ 18    RESOLVES_IDENTIFIERS_AS_UPPERCASE = None
+ 19
+ 20    TIME_FORMAT = "'YYYY-MM-DD HH:MI:SS'"
+ 21    TIME_MAPPING = {
+ 22        **Postgres.TIME_MAPPING,
+ 23        "MON": "%b",
+ 24        "HH": "%H",
+ 25    }
+ 26
+ 27    class Parser(Postgres.Parser):
+ 28        FUNCTIONS = {
+ 29            **Postgres.Parser.FUNCTIONS,
+ 30            "DATEADD": lambda args: exp.DateAdd(
+ 31                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
+ 32                expression=seq_get(args, 1),
+ 33                unit=seq_get(args, 0),
+ 34            ),
+ 35            "DATEDIFF": lambda args: exp.DateDiff(
+ 36                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
+ 37                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
+ 38                unit=seq_get(args, 0),
+ 39            ),
+ 40            "NVL": exp.Coalesce.from_arg_list,
+ 41            "STRTOL": exp.FromBase.from_arg_list,
+ 42        }
+ 43
+ 44        CONVERT_TYPE_FIRST = True
+ 45
+ 46        def _parse_types(
+ 47            self, check_func: bool = False, schema: bool = False
+ 48        ) -> t.Optional[exp.Expression]:
+ 49            this = super()._parse_types(check_func=check_func, schema=schema)
+ 50
+ 51            if (
+ 52                isinstance(this, exp.DataType)
+ 53                and this.is_type("varchar")
+ 54                and this.expressions
+ 55                and this.expressions[0].this == exp.column("MAX")
+ 56            ):
+ 57                this.set("expressions", [exp.var("MAX")])
+ 58
+ 59            return this
+ 60
+ 61    class Tokenizer(Postgres.Tokenizer):
+ 62        BIT_STRINGS = []
+ 63        HEX_STRINGS = []
+ 64        STRING_ESCAPES = ["\\"]
+ 65
+ 66        KEYWORDS = {
+ 67            **Postgres.Tokenizer.KEYWORDS,
+ 68            "HLLSKETCH": TokenType.HLLSKETCH,
+ 69            "SUPER": TokenType.SUPER,
+ 70            "SYSDATE": TokenType.CURRENT_TIMESTAMP,
+ 71            "TIME": TokenType.TIMESTAMP,
+ 72            "TIMETZ": TokenType.TIMESTAMPTZ,
+ 73            "TOP": TokenType.TOP,
+ 74            "UNLOAD": TokenType.COMMAND,
+ 75            "VARBYTE": TokenType.VARBINARY,
+ 76        }
+ 77
+ 78        # Redshift allows # to appear as a table identifier prefix
+ 79        SINGLE_TOKENS = Postgres.Tokenizer.SINGLE_TOKENS.copy()
+ 80        SINGLE_TOKENS.pop("#")
+ 81
+ 82    class Generator(Postgres.Generator):
+ 83        LOCKING_READS_SUPPORTED = False
+ 84        RENAME_TABLE_WITH_DB = False
+ 85
+ 86        TYPE_MAPPING = {
+ 87            **Postgres.Generator.TYPE_MAPPING,
+ 88            exp.DataType.Type.BINARY: "VARBYTE",
+ 89            exp.DataType.Type.VARBINARY: "VARBYTE",
+ 90            exp.DataType.Type.INT: "INTEGER",
+ 91        }
+ 92
+ 93        PROPERTIES_LOCATION = {
+ 94            **Postgres.Generator.PROPERTIES_LOCATION,
+ 95            exp.LikeProperty: exp.Properties.Location.POST_WITH,
+ 96        }
+ 97
+ 98        TRANSFORMS = {
+ 99            **Postgres.Generator.TRANSFORMS,
+100            exp.Concat: concat_to_dpipe_sql,
+101            exp.CurrentTimestamp: lambda self, e: "SYSDATE",
+102            exp.DateAdd: lambda self, e: self.func(
+103                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
 104            ),
-105            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
-106            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
-107            exp.FromBase: rename_func("STRTOL"),
-108            exp.JSONExtract: _json_sql,
-109            exp.JSONExtractScalar: _json_sql,
-110            exp.SafeConcat: concat_to_dpipe_sql,
-111            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
-112            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
-113            exp.TsOrDsToDate: lambda self, e: self.sql(e.this),
-114        }
-115
-116        # Postgres maps exp.Pivot to no_pivot_sql, but Redshift support pivots
-117        TRANSFORMS.pop(exp.Pivot)
+105            exp.DateDiff: lambda self, e: self.func(
+106                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
+107            ),
+108            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
+109            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
+110            exp.FromBase: rename_func("STRTOL"),
+111            exp.JSONExtract: _json_sql,
+112            exp.JSONExtractScalar: _json_sql,
+113            exp.SafeConcat: concat_to_dpipe_sql,
+114            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
+115            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
+116            exp.TsOrDsToDate: lambda self, e: self.sql(e.this),
+117        }
 118
-119        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
-120        TRANSFORMS.pop(exp.Pow)
+119        # Postgres maps exp.Pivot to no_pivot_sql, but Redshift support pivots
+120        TRANSFORMS.pop(exp.Pivot)
 121
-122        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot", "type"}
-123
-124        def values_sql(self, expression: exp.Values) -> str:
-125            """
-126            Converts `VALUES...` expression into a series of unions.
-127
-128            Note: If you have a lot of unions then this will result in a large number of recursive statements to
-129            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
-130            very slow.
-131            """
-132
-133            # The VALUES clause is still valid in an `INSERT INTO ..` statement, for example
-134            if not expression.find_ancestor(exp.From, exp.Join):
-135                return super().values_sql(expression)
-136
-137            column_names = expression.alias and expression.args["alias"].columns
-138
-139            selects = []
-140            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
+122        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
+123        TRANSFORMS.pop(exp.Pow)
+124
+125        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot", "type"}
+126
+127        def values_sql(self, expression: exp.Values) -> str:
+128            """
+129            Converts `VALUES...` expression into a series of unions.
+130
+131            Note: If you have a lot of unions then this will result in a large number of recursive statements to
+132            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
+133            very slow.
+134            """
+135
+136            # The VALUES clause is still valid in an `INSERT INTO ..` statement, for example
+137            if not expression.find_ancestor(exp.From, exp.Join):
+138                return super().values_sql(expression)
+139
+140            column_names = expression.alias and expression.args["alias"].columns
 141
-142            for i, row in enumerate(rows):
-143                if i == 0 and column_names:
-144                    row = [
-145                        exp.alias_(value, column_name)
-146                        for value, column_name in zip(row, column_names)
-147                    ]
-148
-149                selects.append(exp.Select(expressions=row))
-150
-151            subquery_expression: exp.Select | exp.Union = selects[0]
-152            if len(selects) > 1:
-153                for select in selects[1:]:
-154                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
-155
-156            return self.subquery_sql(subquery_expression.subquery(expression.alias))
-157
-158        def with_properties(self, properties: exp.Properties) -> str:
-159            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
-160            return self.properties(properties, prefix=" ", suffix="")
-161
-162        def datatype_sql(self, expression: exp.DataType) -> str:
-163            """
-164            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
-165            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
-166            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
-167            `TEXT` to `VARCHAR`.
-168            """
-169            if expression.is_type("text"):
-170                expression = expression.copy()
-171                expression.set("this", exp.DataType.Type.VARCHAR)
-172                precision = expression.args.get("expressions")
-173
-174                if not precision:
-175                    expression.append("expressions", exp.var("MAX"))
+142            selects = []
+143            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
+144
+145            for i, row in enumerate(rows):
+146                if i == 0 and column_names:
+147                    row = [
+148                        exp.alias_(value, column_name)
+149                        for value, column_name in zip(row, column_names)
+150                    ]
+151
+152                selects.append(exp.Select(expressions=row))
+153
+154            subquery_expression: exp.Select | exp.Union = selects[0]
+155            if len(selects) > 1:
+156                for select in selects[1:]:
+157                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
+158
+159            return self.subquery_sql(subquery_expression.subquery(expression.alias))
+160
+161        def with_properties(self, properties: exp.Properties) -> str:
+162            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
+163            return self.properties(properties, prefix=" ", suffix="")
+164
+165        def datatype_sql(self, expression: exp.DataType) -> str:
+166            """
+167            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
+168            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
+169            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
+170            `TEXT` to `VARCHAR`.
+171            """
+172            if expression.is_type("text"):
+173                expression = expression.copy()
+174                expression.set("this", exp.DataType.Type.VARCHAR)
+175                precision = expression.args.get("expressions")
 176
-177            return super().datatype_sql(expression)
+177                if not precision:
+178                    expression.append("expressions", exp.var("MAX"))
+179
+180            return super().datatype_sql(expression)
    @@ -279,167 +285,170 @@ 
     17class Redshift(Postgres):
- 18    TIME_FORMAT = "'YYYY-MM-DD HH:MI:SS'"
- 19    TIME_MAPPING = {
- 20        **Postgres.TIME_MAPPING,
- 21        "MON": "%b",
- 22        "HH": "%H",
- 23    }
- 24
- 25    class Parser(Postgres.Parser):
- 26        FUNCTIONS = {
- 27            **Postgres.Parser.FUNCTIONS,
- 28            "DATEADD": lambda args: exp.DateAdd(
- 29                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
- 30                expression=seq_get(args, 1),
- 31                unit=seq_get(args, 0),
- 32            ),
- 33            "DATEDIFF": lambda args: exp.DateDiff(
- 34                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
- 35                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
- 36                unit=seq_get(args, 0),
- 37            ),
- 38            "NVL": exp.Coalesce.from_arg_list,
- 39            "STRTOL": exp.FromBase.from_arg_list,
- 40        }
- 41
- 42        CONVERT_TYPE_FIRST = True
- 43
- 44        def _parse_types(
- 45            self, check_func: bool = False, schema: bool = False
- 46        ) -> t.Optional[exp.Expression]:
- 47            this = super()._parse_types(check_func=check_func, schema=schema)
- 48
- 49            if (
- 50                isinstance(this, exp.DataType)
- 51                and this.is_type("varchar")
- 52                and this.expressions
- 53                and this.expressions[0].this == exp.column("MAX")
- 54            ):
- 55                this.set("expressions", [exp.var("MAX")])
- 56
- 57            return this
- 58
- 59    class Tokenizer(Postgres.Tokenizer):
- 60        BIT_STRINGS = []
- 61        HEX_STRINGS = []
- 62        STRING_ESCAPES = ["\\"]
- 63
- 64        KEYWORDS = {
- 65            **Postgres.Tokenizer.KEYWORDS,
- 66            "HLLSKETCH": TokenType.HLLSKETCH,
- 67            "SUPER": TokenType.SUPER,
- 68            "SYSDATE": TokenType.CURRENT_TIMESTAMP,
- 69            "TIME": TokenType.TIMESTAMP,
- 70            "TIMETZ": TokenType.TIMESTAMPTZ,
- 71            "TOP": TokenType.TOP,
- 72            "UNLOAD": TokenType.COMMAND,
- 73            "VARBYTE": TokenType.VARBINARY,
- 74        }
- 75
- 76        # Redshift allows # to appear as a table identifier prefix
- 77        SINGLE_TOKENS = Postgres.Tokenizer.SINGLE_TOKENS.copy()
- 78        SINGLE_TOKENS.pop("#")
- 79
- 80    class Generator(Postgres.Generator):
- 81        LOCKING_READS_SUPPORTED = False
- 82        RENAME_TABLE_WITH_DB = False
- 83
- 84        TYPE_MAPPING = {
- 85            **Postgres.Generator.TYPE_MAPPING,
- 86            exp.DataType.Type.BINARY: "VARBYTE",
- 87            exp.DataType.Type.VARBINARY: "VARBYTE",
- 88            exp.DataType.Type.INT: "INTEGER",
- 89        }
- 90
- 91        PROPERTIES_LOCATION = {
- 92            **Postgres.Generator.PROPERTIES_LOCATION,
- 93            exp.LikeProperty: exp.Properties.Location.POST_WITH,
- 94        }
- 95
- 96        TRANSFORMS = {
- 97            **Postgres.Generator.TRANSFORMS,
- 98            exp.Concat: concat_to_dpipe_sql,
- 99            exp.CurrentTimestamp: lambda self, e: "SYSDATE",
-100            exp.DateAdd: lambda self, e: self.func(
-101                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
-102            ),
-103            exp.DateDiff: lambda self, e: self.func(
-104                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
+ 18    # https://docs.aws.amazon.com/redshift/latest/dg/r_names.html
+ 19    RESOLVES_IDENTIFIERS_AS_UPPERCASE = None
+ 20
+ 21    TIME_FORMAT = "'YYYY-MM-DD HH:MI:SS'"
+ 22    TIME_MAPPING = {
+ 23        **Postgres.TIME_MAPPING,
+ 24        "MON": "%b",
+ 25        "HH": "%H",
+ 26    }
+ 27
+ 28    class Parser(Postgres.Parser):
+ 29        FUNCTIONS = {
+ 30            **Postgres.Parser.FUNCTIONS,
+ 31            "DATEADD": lambda args: exp.DateAdd(
+ 32                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
+ 33                expression=seq_get(args, 1),
+ 34                unit=seq_get(args, 0),
+ 35            ),
+ 36            "DATEDIFF": lambda args: exp.DateDiff(
+ 37                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
+ 38                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
+ 39                unit=seq_get(args, 0),
+ 40            ),
+ 41            "NVL": exp.Coalesce.from_arg_list,
+ 42            "STRTOL": exp.FromBase.from_arg_list,
+ 43        }
+ 44
+ 45        CONVERT_TYPE_FIRST = True
+ 46
+ 47        def _parse_types(
+ 48            self, check_func: bool = False, schema: bool = False
+ 49        ) -> t.Optional[exp.Expression]:
+ 50            this = super()._parse_types(check_func=check_func, schema=schema)
+ 51
+ 52            if (
+ 53                isinstance(this, exp.DataType)
+ 54                and this.is_type("varchar")
+ 55                and this.expressions
+ 56                and this.expressions[0].this == exp.column("MAX")
+ 57            ):
+ 58                this.set("expressions", [exp.var("MAX")])
+ 59
+ 60            return this
+ 61
+ 62    class Tokenizer(Postgres.Tokenizer):
+ 63        BIT_STRINGS = []
+ 64        HEX_STRINGS = []
+ 65        STRING_ESCAPES = ["\\"]
+ 66
+ 67        KEYWORDS = {
+ 68            **Postgres.Tokenizer.KEYWORDS,
+ 69            "HLLSKETCH": TokenType.HLLSKETCH,
+ 70            "SUPER": TokenType.SUPER,
+ 71            "SYSDATE": TokenType.CURRENT_TIMESTAMP,
+ 72            "TIME": TokenType.TIMESTAMP,
+ 73            "TIMETZ": TokenType.TIMESTAMPTZ,
+ 74            "TOP": TokenType.TOP,
+ 75            "UNLOAD": TokenType.COMMAND,
+ 76            "VARBYTE": TokenType.VARBINARY,
+ 77        }
+ 78
+ 79        # Redshift allows # to appear as a table identifier prefix
+ 80        SINGLE_TOKENS = Postgres.Tokenizer.SINGLE_TOKENS.copy()
+ 81        SINGLE_TOKENS.pop("#")
+ 82
+ 83    class Generator(Postgres.Generator):
+ 84        LOCKING_READS_SUPPORTED = False
+ 85        RENAME_TABLE_WITH_DB = False
+ 86
+ 87        TYPE_MAPPING = {
+ 88            **Postgres.Generator.TYPE_MAPPING,
+ 89            exp.DataType.Type.BINARY: "VARBYTE",
+ 90            exp.DataType.Type.VARBINARY: "VARBYTE",
+ 91            exp.DataType.Type.INT: "INTEGER",
+ 92        }
+ 93
+ 94        PROPERTIES_LOCATION = {
+ 95            **Postgres.Generator.PROPERTIES_LOCATION,
+ 96            exp.LikeProperty: exp.Properties.Location.POST_WITH,
+ 97        }
+ 98
+ 99        TRANSFORMS = {
+100            **Postgres.Generator.TRANSFORMS,
+101            exp.Concat: concat_to_dpipe_sql,
+102            exp.CurrentTimestamp: lambda self, e: "SYSDATE",
+103            exp.DateAdd: lambda self, e: self.func(
+104                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
 105            ),
-106            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
-107            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
-108            exp.FromBase: rename_func("STRTOL"),
-109            exp.JSONExtract: _json_sql,
-110            exp.JSONExtractScalar: _json_sql,
-111            exp.SafeConcat: concat_to_dpipe_sql,
-112            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
-113            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
-114            exp.TsOrDsToDate: lambda self, e: self.sql(e.this),
-115        }
-116
-117        # Postgres maps exp.Pivot to no_pivot_sql, but Redshift support pivots
-118        TRANSFORMS.pop(exp.Pivot)
+106            exp.DateDiff: lambda self, e: self.func(
+107                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
+108            ),
+109            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
+110            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
+111            exp.FromBase: rename_func("STRTOL"),
+112            exp.JSONExtract: _json_sql,
+113            exp.JSONExtractScalar: _json_sql,
+114            exp.SafeConcat: concat_to_dpipe_sql,
+115            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
+116            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
+117            exp.TsOrDsToDate: lambda self, e: self.sql(e.this),
+118        }
 119
-120        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
-121        TRANSFORMS.pop(exp.Pow)
+120        # Postgres maps exp.Pivot to no_pivot_sql, but Redshift support pivots
+121        TRANSFORMS.pop(exp.Pivot)
 122
-123        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot", "type"}
-124
-125        def values_sql(self, expression: exp.Values) -> str:
-126            """
-127            Converts `VALUES...` expression into a series of unions.
-128
-129            Note: If you have a lot of unions then this will result in a large number of recursive statements to
-130            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
-131            very slow.
-132            """
-133
-134            # The VALUES clause is still valid in an `INSERT INTO ..` statement, for example
-135            if not expression.find_ancestor(exp.From, exp.Join):
-136                return super().values_sql(expression)
-137
-138            column_names = expression.alias and expression.args["alias"].columns
-139
-140            selects = []
-141            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
+123        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
+124        TRANSFORMS.pop(exp.Pow)
+125
+126        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot", "type"}
+127
+128        def values_sql(self, expression: exp.Values) -> str:
+129            """
+130            Converts `VALUES...` expression into a series of unions.
+131
+132            Note: If you have a lot of unions then this will result in a large number of recursive statements to
+133            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
+134            very slow.
+135            """
+136
+137            # The VALUES clause is still valid in an `INSERT INTO ..` statement, for example
+138            if not expression.find_ancestor(exp.From, exp.Join):
+139                return super().values_sql(expression)
+140
+141            column_names = expression.alias and expression.args["alias"].columns
 142
-143            for i, row in enumerate(rows):
-144                if i == 0 and column_names:
-145                    row = [
-146                        exp.alias_(value, column_name)
-147                        for value, column_name in zip(row, column_names)
-148                    ]
-149
-150                selects.append(exp.Select(expressions=row))
-151
-152            subquery_expression: exp.Select | exp.Union = selects[0]
-153            if len(selects) > 1:
-154                for select in selects[1:]:
-155                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
-156
-157            return self.subquery_sql(subquery_expression.subquery(expression.alias))
-158
-159        def with_properties(self, properties: exp.Properties) -> str:
-160            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
-161            return self.properties(properties, prefix=" ", suffix="")
-162
-163        def datatype_sql(self, expression: exp.DataType) -> str:
-164            """
-165            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
-166            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
-167            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
-168            `TEXT` to `VARCHAR`.
-169            """
-170            if expression.is_type("text"):
-171                expression = expression.copy()
-172                expression.set("this", exp.DataType.Type.VARCHAR)
-173                precision = expression.args.get("expressions")
-174
-175                if not precision:
-176                    expression.append("expressions", exp.var("MAX"))
+143            selects = []
+144            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
+145
+146            for i, row in enumerate(rows):
+147                if i == 0 and column_names:
+148                    row = [
+149                        exp.alias_(value, column_name)
+150                        for value, column_name in zip(row, column_names)
+151                    ]
+152
+153                selects.append(exp.Select(expressions=row))
+154
+155            subquery_expression: exp.Select | exp.Union = selects[0]
+156            if len(selects) > 1:
+157                for select in selects[1:]:
+158                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
+159
+160            return self.subquery_sql(subquery_expression.subquery(expression.alias))
+161
+162        def with_properties(self, properties: exp.Properties) -> str:
+163            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
+164            return self.properties(properties, prefix=" ", suffix="")
+165
+166        def datatype_sql(self, expression: exp.DataType) -> str:
+167            """
+168            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
+169            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
+170            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
+171            `TEXT` to `VARCHAR`.
+172            """
+173            if expression.is_type("text"):
+174                expression = expression.copy()
+175                expression.set("this", exp.DataType.Type.VARCHAR)
+176                precision = expression.args.get("expressions")
 177
-178            return super().datatype_sql(expression)
+178                if not precision:
+179                    expression.append("expressions", exp.var("MAX"))
+180
+181            return super().datatype_sql(expression)
    @@ -451,6 +460,10 @@ - 
    25    class Parser(Postgres.Parser):
-26        FUNCTIONS = {
-27            **Postgres.Parser.FUNCTIONS,
-28            "DATEADD": lambda args: exp.DateAdd(
-29                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
-30                expression=seq_get(args, 1),
-31                unit=seq_get(args, 0),
-32            ),
-33            "DATEDIFF": lambda args: exp.DateDiff(
-34                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
-35                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
-36                unit=seq_get(args, 0),
-37            ),
-38            "NVL": exp.Coalesce.from_arg_list,
-39            "STRTOL": exp.FromBase.from_arg_list,
-40        }
-41
-42        CONVERT_TYPE_FIRST = True
-43
-44        def _parse_types(
-45            self, check_func: bool = False, schema: bool = False
-46        ) -> t.Optional[exp.Expression]:
-47            this = super()._parse_types(check_func=check_func, schema=schema)
-48
-49            if (
-50                isinstance(this, exp.DataType)
-51                and this.is_type("varchar")
-52                and this.expressions
-53                and this.expressions[0].this == exp.column("MAX")
-54            ):
-55                this.set("expressions", [exp.var("MAX")])
-56
-57            return this
+            
    28    class Parser(Postgres.Parser):
+29        FUNCTIONS = {
+30            **Postgres.Parser.FUNCTIONS,
+31            "DATEADD": lambda args: exp.DateAdd(
+32                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
+33                expression=seq_get(args, 1),
+34                unit=seq_get(args, 0),
+35            ),
+36            "DATEDIFF": lambda args: exp.DateDiff(
+37                this=exp.TsOrDsToDate(this=seq_get(args, 2)),
+38                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
+39                unit=seq_get(args, 0),
+40            ),
+41            "NVL": exp.Coalesce.from_arg_list,
+42            "STRTOL": exp.FromBase.from_arg_list,
+43        }
+44
+45        CONVERT_TYPE_FIRST = True
+46
+47        def _parse_types(
+48            self, check_func: bool = False, schema: bool = False
+49        ) -> t.Optional[exp.Expression]:
+50            this = super()._parse_types(check_func=check_func, schema=schema)
+51
+52            if (
+53                isinstance(this, exp.DataType)
+54                and this.is_type("varchar")
+55                and this.expressions
+56                and this.expressions[0].this == exp.column("MAX")
+57            ):
+58                this.set("expressions", [exp.var("MAX")])
+59
+60            return this
 
    
 
 
@@ -555,26 +568,26 @@ Default: 3
    - 
    59    class Tokenizer(Postgres.Tokenizer):
-60        BIT_STRINGS = []
-61        HEX_STRINGS = []
-62        STRING_ESCAPES = ["\\"]
-63
-64        KEYWORDS = {
-65            **Postgres.Tokenizer.KEYWORDS,
-66            "HLLSKETCH": TokenType.HLLSKETCH,
-67            "SUPER": TokenType.SUPER,
-68            "SYSDATE": TokenType.CURRENT_TIMESTAMP,
-69            "TIME": TokenType.TIMESTAMP,
-70            "TIMETZ": TokenType.TIMESTAMPTZ,
-71            "TOP": TokenType.TOP,
-72            "UNLOAD": TokenType.COMMAND,
-73            "VARBYTE": TokenType.VARBINARY,
-74        }
-75
-76        # Redshift allows # to appear as a table identifier prefix
-77        SINGLE_TOKENS = Postgres.Tokenizer.SINGLE_TOKENS.copy()
-78        SINGLE_TOKENS.pop("#")
+            
    62    class Tokenizer(Postgres.Tokenizer):
+63        BIT_STRINGS = []
+64        HEX_STRINGS = []
+65        STRING_ESCAPES = ["\\"]
+66
+67        KEYWORDS = {
+68            **Postgres.Tokenizer.KEYWORDS,
+69            "HLLSKETCH": TokenType.HLLSKETCH,
+70            "SUPER": TokenType.SUPER,
+71            "SYSDATE": TokenType.CURRENT_TIMESTAMP,
+72            "TIME": TokenType.TIMESTAMP,
+73            "TIMETZ": TokenType.TIMESTAMPTZ,
+74            "TOP": TokenType.TOP,
+75            "UNLOAD": TokenType.COMMAND,
+76            "VARBYTE": TokenType.VARBINARY,
+77        }
+78
+79        # Redshift allows # to appear as a table identifier prefix
+80        SINGLE_TOKENS = Postgres.Tokenizer.SINGLE_TOKENS.copy()
+81        SINGLE_TOKENS.pop("#")
 
    
 
 
@@ -603,105 +616,105 @@ Default: 3
    - 
     80    class Generator(Postgres.Generator):
- 81        LOCKING_READS_SUPPORTED = False
- 82        RENAME_TABLE_WITH_DB = False
- 83
- 84        TYPE_MAPPING = {
- 85            **Postgres.Generator.TYPE_MAPPING,
- 86            exp.DataType.Type.BINARY: "VARBYTE",
- 87            exp.DataType.Type.VARBINARY: "VARBYTE",
- 88            exp.DataType.Type.INT: "INTEGER",
- 89        }
- 90
- 91        PROPERTIES_LOCATION = {
- 92            **Postgres.Generator.PROPERTIES_LOCATION,
- 93            exp.LikeProperty: exp.Properties.Location.POST_WITH,
- 94        }
- 95
- 96        TRANSFORMS = {
- 97            **Postgres.Generator.TRANSFORMS,
- 98            exp.Concat: concat_to_dpipe_sql,
- 99            exp.CurrentTimestamp: lambda self, e: "SYSDATE",
-100            exp.DateAdd: lambda self, e: self.func(
-101                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
-102            ),
-103            exp.DateDiff: lambda self, e: self.func(
-104                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
+            
     83    class Generator(Postgres.Generator):
+ 84        LOCKING_READS_SUPPORTED = False
+ 85        RENAME_TABLE_WITH_DB = False
+ 86
+ 87        TYPE_MAPPING = {
+ 88            **Postgres.Generator.TYPE_MAPPING,
+ 89            exp.DataType.Type.BINARY: "VARBYTE",
+ 90            exp.DataType.Type.VARBINARY: "VARBYTE",
+ 91            exp.DataType.Type.INT: "INTEGER",
+ 92        }
+ 93
+ 94        PROPERTIES_LOCATION = {
+ 95            **Postgres.Generator.PROPERTIES_LOCATION,
+ 96            exp.LikeProperty: exp.Properties.Location.POST_WITH,
+ 97        }
+ 98
+ 99        TRANSFORMS = {
+100            **Postgres.Generator.TRANSFORMS,
+101            exp.Concat: concat_to_dpipe_sql,
+102            exp.CurrentTimestamp: lambda self, e: "SYSDATE",
+103            exp.DateAdd: lambda self, e: self.func(
+104                "DATEADD", exp.var(e.text("unit") or "day"), e.expression, e.this
 105            ),
-106            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
-107            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
-108            exp.FromBase: rename_func("STRTOL"),
-109            exp.JSONExtract: _json_sql,
-110            exp.JSONExtractScalar: _json_sql,
-111            exp.SafeConcat: concat_to_dpipe_sql,
-112            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
-113            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
-114            exp.TsOrDsToDate: lambda self, e: self.sql(e.this),
-115        }
-116
-117        # Postgres maps exp.Pivot to no_pivot_sql, but Redshift support pivots
-118        TRANSFORMS.pop(exp.Pivot)
+106            exp.DateDiff: lambda self, e: self.func(
+107                "DATEDIFF", exp.var(e.text("unit") or "day"), e.expression, e.this
+108            ),
+109            exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})",
+110            exp.DistStyleProperty: lambda self, e: self.naked_property(e),
+111            exp.FromBase: rename_func("STRTOL"),
+112            exp.JSONExtract: _json_sql,
+113            exp.JSONExtractScalar: _json_sql,
+114            exp.SafeConcat: concat_to_dpipe_sql,
+115            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
+116            exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})",
+117            exp.TsOrDsToDate: lambda self, e: self.sql(e.this),
+118        }
 119
-120        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
-121        TRANSFORMS.pop(exp.Pow)
+120        # Postgres maps exp.Pivot to no_pivot_sql, but Redshift support pivots
+121        TRANSFORMS.pop(exp.Pivot)
 122
-123        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot", "type"}
-124
-125        def values_sql(self, expression: exp.Values) -> str:
-126            """
-127            Converts `VALUES...` expression into a series of unions.
-128
-129            Note: If you have a lot of unions then this will result in a large number of recursive statements to
-130            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
-131            very slow.
-132            """
-133
-134            # The VALUES clause is still valid in an `INSERT INTO ..` statement, for example
-135            if not expression.find_ancestor(exp.From, exp.Join):
-136                return super().values_sql(expression)
-137
-138            column_names = expression.alias and expression.args["alias"].columns
-139
-140            selects = []
-141            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
+123        # Redshift uses the POW | POWER (expr1, expr2) syntax instead of expr1 ^ expr2 (postgres)
+124        TRANSFORMS.pop(exp.Pow)
+125
+126        RESERVED_KEYWORDS = {*Postgres.Generator.RESERVED_KEYWORDS, "snapshot", "type"}
+127
+128        def values_sql(self, expression: exp.Values) -> str:
+129            """
+130            Converts `VALUES...` expression into a series of unions.
+131
+132            Note: If you have a lot of unions then this will result in a large number of recursive statements to
+133            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
+134            very slow.
+135            """
+136
+137            # The VALUES clause is still valid in an `INSERT INTO ..` statement, for example
+138            if not expression.find_ancestor(exp.From, exp.Join):
+139                return super().values_sql(expression)
+140
+141            column_names = expression.alias and expression.args["alias"].columns
 142
-143            for i, row in enumerate(rows):
-144                if i == 0 and column_names:
-145                    row = [
-146                        exp.alias_(value, column_name)
-147                        for value, column_name in zip(row, column_names)
-148                    ]
-149
-150                selects.append(exp.Select(expressions=row))
-151
-152            subquery_expression: exp.Select | exp.Union = selects[0]
-153            if len(selects) > 1:
-154                for select in selects[1:]:
-155                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
-156
-157            return self.subquery_sql(subquery_expression.subquery(expression.alias))
-158
-159        def with_properties(self, properties: exp.Properties) -> str:
-160            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
-161            return self.properties(properties, prefix=" ", suffix="")
-162
-163        def datatype_sql(self, expression: exp.DataType) -> str:
-164            """
-165            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
-166            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
-167            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
-168            `TEXT` to `VARCHAR`.
-169            """
-170            if expression.is_type("text"):
-171                expression = expression.copy()
-172                expression.set("this", exp.DataType.Type.VARCHAR)
-173                precision = expression.args.get("expressions")
-174
-175                if not precision:
-176                    expression.append("expressions", exp.var("MAX"))
+143            selects = []
+144            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
+145
+146            for i, row in enumerate(rows):
+147                if i == 0 and column_names:
+148                    row = [
+149                        exp.alias_(value, column_name)
+150                        for value, column_name in zip(row, column_names)
+151                    ]
+152
+153                selects.append(exp.Select(expressions=row))
+154
+155            subquery_expression: exp.Select | exp.Union = selects[0]
+156            if len(selects) > 1:
+157                for select in selects[1:]:
+158                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
+159
+160            return self.subquery_sql(subquery_expression.subquery(expression.alias))
+161
+162        def with_properties(self, properties: exp.Properties) -> str:
+163            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
+164            return self.properties(properties, prefix=" ", suffix="")
+165
+166        def datatype_sql(self, expression: exp.DataType) -> str:
+167            """
+168            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
+169            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
+170            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
+171            `TEXT` to `VARCHAR`.
+172            """
+173            if expression.is_type("text"):
+174                expression = expression.copy()
+175                expression.set("this", exp.DataType.Type.VARCHAR)
+176                precision = expression.args.get("expressions")
 177
-178            return super().datatype_sql(expression)
+178                if not precision:
+179                    expression.append("expressions", exp.var("MAX"))
+180
+181            return super().datatype_sql(expression)
 
    
 
 
@@ -755,39 +768,39 @@ Default: True
    - 
    125        def values_sql(self, expression: exp.Values) -> str:
-126            """
-127            Converts `VALUES...` expression into a series of unions.
-128
-129            Note: If you have a lot of unions then this will result in a large number of recursive statements to
-130            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
-131            very slow.
-132            """
-133
-134            # The VALUES clause is still valid in an `INSERT INTO ..` statement, for example
-135            if not expression.find_ancestor(exp.From, exp.Join):
-136                return super().values_sql(expression)
-137
-138            column_names = expression.alias and expression.args["alias"].columns
-139
-140            selects = []
-141            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
+            
    128        def values_sql(self, expression: exp.Values) -> str:
+129            """
+130            Converts `VALUES...` expression into a series of unions.
+131
+132            Note: If you have a lot of unions then this will result in a large number of recursive statements to
+133            evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be
+134            very slow.
+135            """
+136
+137            # The VALUES clause is still valid in an `INSERT INTO ..` statement, for example
+138            if not expression.find_ancestor(exp.From, exp.Join):
+139                return super().values_sql(expression)
+140
+141            column_names = expression.alias and expression.args["alias"].columns
 142
-143            for i, row in enumerate(rows):
-144                if i == 0 and column_names:
-145                    row = [
-146                        exp.alias_(value, column_name)
-147                        for value, column_name in zip(row, column_names)
-148                    ]
-149
-150                selects.append(exp.Select(expressions=row))
-151
-152            subquery_expression: exp.Select | exp.Union = selects[0]
-153            if len(selects) > 1:
-154                for select in selects[1:]:
-155                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
-156
-157            return self.subquery_sql(subquery_expression.subquery(expression.alias))
+143            selects = []
+144            rows = [tuple_exp.expressions for tuple_exp in expression.expressions]
+145
+146            for i, row in enumerate(rows):
+147                if i == 0 and column_names:
+148                    row = [
+149                        exp.alias_(value, column_name)
+150                        for value, column_name in zip(row, column_names)
+151                    ]
+152
+153                selects.append(exp.Select(expressions=row))
+154
+155            subquery_expression: exp.Select | exp.Union = selects[0]
+156            if len(selects) > 1:
+157                for select in selects[1:]:
+158                    subquery_expression = exp.union(subquery_expression, select, distinct=False)
+159
+160            return self.subquery_sql(subquery_expression.subquery(expression.alias))
 
    
 
 
@@ -811,9 +824,9 @@ very slow.
    - 
    159        def with_properties(self, properties: exp.Properties) -> str:
-160            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
-161            return self.properties(properties, prefix=" ", suffix="")
+            
    162        def with_properties(self, properties: exp.Properties) -> str:
+163            """Redshift doesn't have `WITH` as part of their with_properties so we remove it"""
+164            return self.properties(properties, prefix=" ", suffix="")
 
    
 
 
@@ -833,22 +846,22 @@ very slow.
    - 
    163        def datatype_sql(self, expression: exp.DataType) -> str:
-164            """
-165            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
-166            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
-167            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
-168            `TEXT` to `VARCHAR`.
-169            """
-170            if expression.is_type("text"):
-171                expression = expression.copy()
-172                expression.set("this", exp.DataType.Type.VARCHAR)
-173                precision = expression.args.get("expressions")
-174
-175                if not precision:
-176                    expression.append("expressions", exp.var("MAX"))
+            
    166        def datatype_sql(self, expression: exp.DataType) -> str:
+167            """
+168            Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean
+169            VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type
+170            without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert
+171            `TEXT` to `VARCHAR`.
+172            """
+173            if expression.is_type("text"):
+174                expression = expression.copy()
+175                expression.set("this", exp.DataType.Type.VARCHAR)
+176                precision = expression.args.get("expressions")
 177
-178            return super().datatype_sql(expression)
+178                if not precision:
+179                    expression.append("expressions", exp.var("MAX"))
+180
+181            return super().datatype_sql(expression)
 
    
 
 
@@ -859,6 +872,60 @@ without precision we convert it to VARCHAR(max) and if it does have
    +
    +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -959,6 +1026,7 @@ without precision we convert it to VARCHAR(max) and if it does have
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/snowflake.html b/docs/sqlglot/dialects/snowflake.html index 323b478..9329f53 100644 --- a/docs/sqlglot/dialects/snowflake.html +++ b/docs/sqlglot/dialects/snowflake.html @@ -63,6 +63,9 @@
  • generatedasidentitycolumnconstraint_sql
    • +
  • + can_identify +
    • @@ -261,234 +264,236 @@ 167 168 169class Snowflake(Dialect): -170 NULL_ORDERING = "nulls_are_large" -171 TIME_FORMAT = "'YYYY-MM-DD HH24:MI:SS'" -172 -173 TIME_MAPPING = { -174 "YYYY": "%Y", -175 "yyyy": "%Y", -176 "YY": "%y", -177 "yy": "%y", -178 "MMMM": "%B", -179 "mmmm": "%B", -180 "MON": "%b", -181 "mon": "%b", -182 "MM": "%m", -183 "mm": "%m", -184 "DD": "%d", -185 "dd": "%-d", -186 "DY": "%a", -187 "dy": "%w", -188 "HH24": "%H", -189 "hh24": "%H", -190 "HH12": "%I", -191 "hh12": "%I", -192 "MI": "%M", -193 "mi": "%M", -194 "SS": "%S", -195 "ss": "%S", -196 "FF": "%f", -197 "ff": "%f", -198 "FF6": "%f", -199 "ff6": "%f", -200 } -201 -202 class Parser(parser.Parser): -203 IDENTIFY_PIVOT_STRINGS = True -204 -205 FUNCTIONS = { -206 **parser.Parser.FUNCTIONS, -207 "ARRAYAGG": exp.ArrayAgg.from_arg_list, -208 "ARRAY_CONSTRUCT": exp.Array.from_arg_list, -209 "ARRAY_TO_STRING": exp.ArrayJoin.from_arg_list, -210 "CONVERT_TIMEZONE": _parse_convert_timezone, -211 "DATE_TRUNC": date_trunc_to_time, -212 "DATEADD": lambda args: exp.DateAdd( -213 this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0) -214 ), -215 "DATEDIFF": lambda args: exp.DateDiff( -216 this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0) -217 ), -218 "DIV0": _div0_to_if, -219 "IFF": exp.If.from_arg_list, -220 "NULLIFZERO": _nullifzero_to_if, -221 "OBJECT_CONSTRUCT": _parse_object_construct, -222 "RLIKE": exp.RegexpLike.from_arg_list, -223 "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)), -224 "TO_ARRAY": exp.Array.from_arg_list, -225 "TO_VARCHAR": exp.ToChar.from_arg_list, -226 "TO_TIMESTAMP": _snowflake_to_timestamp, -227 "ZEROIFNULL": _zeroifnull_to_if, -228 } -229 -230 FUNCTION_PARSERS = { -231 **parser.Parser.FUNCTION_PARSERS, -232 "DATE_PART": _parse_date_part, -233 } -234 FUNCTION_PARSERS.pop("TRIM") -235 -236 FUNC_TOKENS = { -237 *parser.Parser.FUNC_TOKENS, -238 TokenType.RLIKE, -239 TokenType.TABLE, -240 } -241 -242 COLUMN_OPERATORS = { -243 **parser.Parser.COLUMN_OPERATORS, -244 TokenType.COLON: lambda self, this, path: self.expression( -245 exp.Bracket, this=this, expressions=[path] -246 ), -247 } -248 -249 TIMESTAMPS = parser.Parser.TIMESTAMPS.copy() - {TokenType.TIME} +170 # https://docs.snowflake.com/en/sql-reference/identifiers-syntax +171 RESOLVES_IDENTIFIERS_AS_UPPERCASE = True +172 NULL_ORDERING = "nulls_are_large" +173 TIME_FORMAT = "'YYYY-MM-DD HH24:MI:SS'" +174 +175 TIME_MAPPING = { +176 "YYYY": "%Y", +177 "yyyy": "%Y", +178 "YY": "%y", +179 "yy": "%y", +180 "MMMM": "%B", +181 "mmmm": "%B", +182 "MON": "%b", +183 "mon": "%b", +184 "MM": "%m", +185 "mm": "%m", +186 "DD": "%d", +187 "dd": "%-d", +188 "DY": "%a", +189 "dy": "%w", +190 "HH24": "%H", +191 "hh24": "%H", +192 "HH12": "%I", +193 "hh12": "%I", +194 "MI": "%M", +195 "mi": "%M", +196 "SS": "%S", +197 "ss": "%S", +198 "FF": "%f", +199 "ff": "%f", +200 "FF6": "%f", +201 "ff6": "%f", +202 } +203 +204 class Parser(parser.Parser): +205 IDENTIFY_PIVOT_STRINGS = True +206 +207 FUNCTIONS = { +208 **parser.Parser.FUNCTIONS, +209 "ARRAYAGG": exp.ArrayAgg.from_arg_list, +210 "ARRAY_CONSTRUCT": exp.Array.from_arg_list, +211 "ARRAY_TO_STRING": exp.ArrayJoin.from_arg_list, +212 "CONVERT_TIMEZONE": _parse_convert_timezone, +213 "DATE_TRUNC": date_trunc_to_time, +214 "DATEADD": lambda args: exp.DateAdd( +215 this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0) +216 ), +217 "DATEDIFF": lambda args: exp.DateDiff( +218 this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0) +219 ), +220 "DIV0": _div0_to_if, +221 "IFF": exp.If.from_arg_list, +222 "NULLIFZERO": _nullifzero_to_if, +223 "OBJECT_CONSTRUCT": _parse_object_construct, +224 "RLIKE": exp.RegexpLike.from_arg_list, +225 "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)), +226 "TO_ARRAY": exp.Array.from_arg_list, +227 "TO_VARCHAR": exp.ToChar.from_arg_list, +228 "TO_TIMESTAMP": _snowflake_to_timestamp, +229 "ZEROIFNULL": _zeroifnull_to_if, +230 } +231 +232 FUNCTION_PARSERS = { +233 **parser.Parser.FUNCTION_PARSERS, +234 "DATE_PART": _parse_date_part, +235 } +236 FUNCTION_PARSERS.pop("TRIM") +237 +238 FUNC_TOKENS = { +239 *parser.Parser.FUNC_TOKENS, +240 TokenType.RLIKE, +241 TokenType.TABLE, +242 } +243 +244 COLUMN_OPERATORS = { +245 **parser.Parser.COLUMN_OPERATORS, +246 TokenType.COLON: lambda self, this, path: self.expression( +247 exp.Bracket, this=this, expressions=[path] +248 ), +249 } 250 -251 RANGE_PARSERS = { -252 **parser.Parser.RANGE_PARSERS, -253 TokenType.LIKE_ANY: binary_range_parser(exp.LikeAny), -254 TokenType.ILIKE_ANY: binary_range_parser(exp.ILikeAny), -255 } -256 -257 ALTER_PARSERS = { -258 **parser.Parser.ALTER_PARSERS, -259 "UNSET": lambda self: self._parse_alter_table_set_tag(unset=True), -260 "SET": lambda self: self._parse_alter_table_set_tag(), -261 } -262 -263 def _parse_alter_table_set_tag(self, unset: bool = False) -> exp.Expression: -264 self._match_text_seq("TAG") -265 parser = t.cast(t.Callable, self._parse_id_var if unset else self._parse_conjunction) -266 return self.expression(exp.SetTag, expressions=self._parse_csv(parser), unset=unset) -267 -268 class Tokenizer(tokens.Tokenizer): -269 QUOTES = ["'", "$$"] -270 STRING_ESCAPES = ["\\", "'"] -271 HEX_STRINGS = [("x'", "'"), ("X'", "'")] -272 COMMENTS = ["--", "//", ("/*", "*/")] -273 -274 KEYWORDS = { -275 **tokens.Tokenizer.KEYWORDS, -276 "CHAR VARYING": TokenType.VARCHAR, -277 "CHARACTER VARYING": TokenType.VARCHAR, -278 "EXCLUDE": TokenType.EXCEPT, -279 "ILIKE ANY": TokenType.ILIKE_ANY, -280 "LIKE ANY": TokenType.LIKE_ANY, -281 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, -282 "MINUS": TokenType.EXCEPT, -283 "NCHAR VARYING": TokenType.VARCHAR, -284 "PUT": TokenType.COMMAND, -285 "RENAME": TokenType.REPLACE, -286 "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ, -287 "TIMESTAMP_NTZ": TokenType.TIMESTAMP, -288 "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ, -289 "TIMESTAMPNTZ": TokenType.TIMESTAMP, -290 "SAMPLE": TokenType.TABLE_SAMPLE, -291 } -292 -293 SINGLE_TOKENS = { -294 **tokens.Tokenizer.SINGLE_TOKENS, -295 "$": TokenType.PARAMETER, -296 } -297 -298 VAR_SINGLE_TOKENS = {"$"} +251 TIMESTAMPS = parser.Parser.TIMESTAMPS.copy() - {TokenType.TIME} +252 +253 RANGE_PARSERS = { +254 **parser.Parser.RANGE_PARSERS, +255 TokenType.LIKE_ANY: binary_range_parser(exp.LikeAny), +256 TokenType.ILIKE_ANY: binary_range_parser(exp.ILikeAny), +257 } +258 +259 ALTER_PARSERS = { +260 **parser.Parser.ALTER_PARSERS, +261 "UNSET": lambda self: self._parse_alter_table_set_tag(unset=True), +262 "SET": lambda self: self._parse_alter_table_set_tag(), +263 } +264 +265 def _parse_alter_table_set_tag(self, unset: bool = False) -> exp.Expression: +266 self._match_text_seq("TAG") +267 parser = t.cast(t.Callable, self._parse_id_var if unset else self._parse_conjunction) +268 return self.expression(exp.SetTag, expressions=self._parse_csv(parser), unset=unset) +269 +270 class Tokenizer(tokens.Tokenizer): +271 QUOTES = ["'", "$$"] +272 STRING_ESCAPES = ["\\", "'"] +273 HEX_STRINGS = [("x'", "'"), ("X'", "'")] +274 COMMENTS = ["--", "//", ("/*", "*/")] +275 +276 KEYWORDS = { +277 **tokens.Tokenizer.KEYWORDS, +278 "CHAR VARYING": TokenType.VARCHAR, +279 "CHARACTER VARYING": TokenType.VARCHAR, +280 "EXCLUDE": TokenType.EXCEPT, +281 "ILIKE ANY": TokenType.ILIKE_ANY, +282 "LIKE ANY": TokenType.LIKE_ANY, +283 "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE, +284 "MINUS": TokenType.EXCEPT, +285 "NCHAR VARYING": TokenType.VARCHAR, +286 "PUT": TokenType.COMMAND, +287 "RENAME": TokenType.REPLACE, +288 "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ, +289 "TIMESTAMP_NTZ": TokenType.TIMESTAMP, +290 "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ, +291 "TIMESTAMPNTZ": TokenType.TIMESTAMP, +292 "SAMPLE": TokenType.TABLE_SAMPLE, +293 } +294 +295 SINGLE_TOKENS = { +296 **tokens.Tokenizer.SINGLE_TOKENS, +297 "$": TokenType.PARAMETER, +298 } 299 -300 class Generator(generator.Generator): -301 PARAMETER_TOKEN = "$" -302 MATCHED_BY_SOURCE = False -303 SINGLE_STRING_INTERVAL = True -304 JOIN_HINTS = False -305 TABLE_HINTS = False -306 -307 TRANSFORMS = { -308 **generator.Generator.TRANSFORMS, -309 exp.Array: inline_array_sql, -310 exp.ArrayConcat: rename_func("ARRAY_CAT"), -311 exp.ArrayJoin: rename_func("ARRAY_TO_STRING"), -312 exp.AtTimeZone: lambda self, e: self.func( -313 "CONVERT_TIMEZONE", e.args.get("zone"), e.this -314 ), -315 exp.DateAdd: lambda self, e: self.func("DATEADD", e.text("unit"), e.expression, e.this), -316 exp.DateDiff: lambda self, e: self.func( -317 "DATEDIFF", e.text("unit"), e.expression, e.this -318 ), -319 exp.DateStrToDate: datestrtodate_sql, -320 exp.DataType: _datatype_sql, -321 exp.DayOfWeek: rename_func("DAYOFWEEK"), -322 exp.Extract: rename_func("DATE_PART"), -323 exp.If: rename_func("IFF"), -324 exp.LogicalAnd: rename_func("BOOLAND_AGG"), -325 exp.LogicalOr: rename_func("BOOLOR_AGG"), -326 exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"), -327 exp.Max: max_or_greatest, -328 exp.Min: min_or_least, -329 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", -330 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), -331 exp.StarMap: rename_func("OBJECT_CONSTRUCT"), -332 exp.StrPosition: lambda self, e: self.func( -333 "POSITION", e.args.get("substr"), e.this, e.args.get("position") -334 ), -335 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", -336 exp.Struct: lambda self, e: self.func( -337 "OBJECT_CONSTRUCT", -338 *(arg for expression in e.expressions for arg in expression.flatten()), -339 ), -340 exp.TimeStrToTime: timestrtotime_sql, -341 exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})", -342 exp.TimeToStr: lambda self, e: self.func( -343 "TO_CHAR", exp.cast(e.this, "timestamp"), self.format_time(e) -344 ), -345 exp.TimestampTrunc: timestamptrunc_sql, -346 exp.ToChar: lambda self, e: self.function_fallback_sql(e), -347 exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression), -348 exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"), -349 exp.UnixToTime: _unix_to_time_sql, -350 exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"), -351 } -352 -353 TYPE_MAPPING = { -354 **generator.Generator.TYPE_MAPPING, -355 exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ", -356 } -357 -358 STAR_MAPPING = { -359 "except": "EXCLUDE", -360 "replace": "RENAME", -361 } -362 -363 PROPERTIES_LOCATION = { -364 **generator.Generator.PROPERTIES_LOCATION, -365 exp.SetProperty: exp.Properties.Location.UNSUPPORTED, -366 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, -367 } -368 -369 def except_op(self, expression: exp.Except) -> str: -370 if not expression.args.get("distinct", False): -371 self.unsupported("EXCEPT with All is not supported in Snowflake") -372 return super().except_op(expression) -373 -374 def intersect_op(self, expression: exp.Intersect) -> str: -375 if not expression.args.get("distinct", False): -376 self.unsupported("INTERSECT with All is not supported in Snowflake") -377 return super().intersect_op(expression) -378 -379 def settag_sql(self, expression: exp.SetTag) -> str: -380 action = "UNSET" if expression.args.get("unset") else "SET" -381 return f"{action} TAG {self.expressions(expression)}" -382 -383 def describe_sql(self, expression: exp.Describe) -> str: -384 # Default to table if kind is unknown -385 kind_value = expression.args.get("kind") or "TABLE" -386 kind = f" {kind_value}" if kind_value else "" -387 this = f" {self.sql(expression, 'this')}" -388 return f"DESCRIBE{kind}{this}" -389 -390 def generatedasidentitycolumnconstraint_sql( -391 self, expression: exp.GeneratedAsIdentityColumnConstraint -392 ) -> str: -393 start = expression.args.get("start") -394 start = f" START {start}" if start else "" -395 increment = expression.args.get("increment") -396 increment = f" INCREMENT {increment}" if increment else "" -397 return f"AUTOINCREMENT{start}{increment}" +300 VAR_SINGLE_TOKENS = {"$"} +301 +302 class Generator(generator.Generator): +303 PARAMETER_TOKEN = "$" +304 MATCHED_BY_SOURCE = False +305 SINGLE_STRING_INTERVAL = True +306 JOIN_HINTS = False +307 TABLE_HINTS = False +308 +309 TRANSFORMS = { +310 **generator.Generator.TRANSFORMS, +311 exp.Array: inline_array_sql, +312 exp.ArrayConcat: rename_func("ARRAY_CAT"), +313 exp.ArrayJoin: rename_func("ARRAY_TO_STRING"), +314 exp.AtTimeZone: lambda self, e: self.func( +315 "CONVERT_TIMEZONE", e.args.get("zone"), e.this +316 ), +317 exp.DateAdd: lambda self, e: self.func("DATEADD", e.text("unit"), e.expression, e.this), +318 exp.DateDiff: lambda self, e: self.func( +319 "DATEDIFF", e.text("unit"), e.expression, e.this +320 ), +321 exp.DateStrToDate: datestrtodate_sql, +322 exp.DataType: _datatype_sql, +323 exp.DayOfWeek: rename_func("DAYOFWEEK"), +324 exp.Extract: rename_func("DATE_PART"), +325 exp.If: rename_func("IFF"), +326 exp.LogicalAnd: rename_func("BOOLAND_AGG"), +327 exp.LogicalOr: rename_func("BOOLOR_AGG"), +328 exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"), +329 exp.Max: max_or_greatest, +330 exp.Min: min_or_least, +331 exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}", +332 exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]), +333 exp.StarMap: rename_func("OBJECT_CONSTRUCT"), +334 exp.StrPosition: lambda self, e: self.func( +335 "POSITION", e.args.get("substr"), e.this, e.args.get("position") +336 ), +337 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", +338 exp.Struct: lambda self, e: self.func( +339 "OBJECT_CONSTRUCT", +340 *(arg for expression in e.expressions for arg in expression.flatten()), +341 ), +342 exp.TimeStrToTime: timestrtotime_sql, +343 exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})", +344 exp.TimeToStr: lambda self, e: self.func( +345 "TO_CHAR", exp.cast(e.this, "timestamp"), self.format_time(e) +346 ), +347 exp.TimestampTrunc: timestamptrunc_sql, +348 exp.ToChar: lambda self, e: self.function_fallback_sql(e), +349 exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression), +350 exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"), +351 exp.UnixToTime: _unix_to_time_sql, +352 exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"), +353 } +354 +355 TYPE_MAPPING = { +356 **generator.Generator.TYPE_MAPPING, +357 exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ", +358 } +359 +360 STAR_MAPPING = { +361 "except": "EXCLUDE", +362 "replace": "RENAME", +363 } +364 +365 PROPERTIES_LOCATION = { +366 **generator.Generator.PROPERTIES_LOCATION, +367 exp.SetProperty: exp.Properties.Location.UNSUPPORTED, +368 exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED, +369 } +370 +371 def except_op(self, expression: exp.Except) -> str: +372 if not expression.args.get("distinct", False): +373 self.unsupported("EXCEPT with All is not supported in Snowflake") +374 return super().except_op(expression) +375 +376 def intersect_op(self, expression: exp.Intersect) -> str: +377 if not expression.args.get("distinct", False): +378 self.unsupported("INTERSECT with All is not supported in Snowflake") +379 return super().intersect_op(expression) +380 +381 def settag_sql(self, expression: exp.SetTag) -> str: +382 action = "UNSET" if expression.args.get("unset") else "SET" +383 return f"{action} TAG {self.expressions(expression)}" +384 +385 def describe_sql(self, expression: exp.Describe) -> str: +386 # Default to table if kind is unknown +387 kind_value = expression.args.get("kind") or "TABLE" +388 kind = f" {kind_value}" if kind_value else "" +389 this = f" {self.sql(expression, 'this')}" +390 return f"DESCRIBE{kind}{this}" +391 +392 def generatedasidentitycolumnconstraint_sql( +393 self, expression: exp.GeneratedAsIdentityColumnConstraint +394 ) -> str: +395 start = expression.args.get("start") +396 start = f" START {start}" if start else "" +397 increment = expression.args.get("increment") +398 increment = f" INCREMENT {increment}" if increment else "" +399 return f"AUTOINCREMENT{start}{increment}"
    @@ -505,234 +510,236 @@ 
    170class Snowflake(Dialect):
-171    NULL_ORDERING = "nulls_are_large"
-172    TIME_FORMAT = "'YYYY-MM-DD HH24:MI:SS'"
-173
-174    TIME_MAPPING = {
-175        "YYYY": "%Y",
-176        "yyyy": "%Y",
-177        "YY": "%y",
-178        "yy": "%y",
-179        "MMMM": "%B",
-180        "mmmm": "%B",
-181        "MON": "%b",
-182        "mon": "%b",
-183        "MM": "%m",
-184        "mm": "%m",
-185        "DD": "%d",
-186        "dd": "%-d",
-187        "DY": "%a",
-188        "dy": "%w",
-189        "HH24": "%H",
-190        "hh24": "%H",
-191        "HH12": "%I",
-192        "hh12": "%I",
-193        "MI": "%M",
-194        "mi": "%M",
-195        "SS": "%S",
-196        "ss": "%S",
-197        "FF": "%f",
-198        "ff": "%f",
-199        "FF6": "%f",
-200        "ff6": "%f",
-201    }
-202
-203    class Parser(parser.Parser):
-204        IDENTIFY_PIVOT_STRINGS = True
-205
-206        FUNCTIONS = {
-207            **parser.Parser.FUNCTIONS,
-208            "ARRAYAGG": exp.ArrayAgg.from_arg_list,
-209            "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
-210            "ARRAY_TO_STRING": exp.ArrayJoin.from_arg_list,
-211            "CONVERT_TIMEZONE": _parse_convert_timezone,
-212            "DATE_TRUNC": date_trunc_to_time,
-213            "DATEADD": lambda args: exp.DateAdd(
-214                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
-215            ),
-216            "DATEDIFF": lambda args: exp.DateDiff(
-217                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
-218            ),
-219            "DIV0": _div0_to_if,
-220            "IFF": exp.If.from_arg_list,
-221            "NULLIFZERO": _nullifzero_to_if,
-222            "OBJECT_CONSTRUCT": _parse_object_construct,
-223            "RLIKE": exp.RegexpLike.from_arg_list,
-224            "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)),
-225            "TO_ARRAY": exp.Array.from_arg_list,
-226            "TO_VARCHAR": exp.ToChar.from_arg_list,
-227            "TO_TIMESTAMP": _snowflake_to_timestamp,
-228            "ZEROIFNULL": _zeroifnull_to_if,
-229        }
-230
-231        FUNCTION_PARSERS = {
-232            **parser.Parser.FUNCTION_PARSERS,
-233            "DATE_PART": _parse_date_part,
-234        }
-235        FUNCTION_PARSERS.pop("TRIM")
-236
-237        FUNC_TOKENS = {
-238            *parser.Parser.FUNC_TOKENS,
-239            TokenType.RLIKE,
-240            TokenType.TABLE,
-241        }
-242
-243        COLUMN_OPERATORS = {
-244            **parser.Parser.COLUMN_OPERATORS,
-245            TokenType.COLON: lambda self, this, path: self.expression(
-246                exp.Bracket, this=this, expressions=[path]
-247            ),
-248        }
-249
-250        TIMESTAMPS = parser.Parser.TIMESTAMPS.copy() - {TokenType.TIME}
+171    # https://docs.snowflake.com/en/sql-reference/identifiers-syntax
+172    RESOLVES_IDENTIFIERS_AS_UPPERCASE = True
+173    NULL_ORDERING = "nulls_are_large"
+174    TIME_FORMAT = "'YYYY-MM-DD HH24:MI:SS'"
+175
+176    TIME_MAPPING = {
+177        "YYYY": "%Y",
+178        "yyyy": "%Y",
+179        "YY": "%y",
+180        "yy": "%y",
+181        "MMMM": "%B",
+182        "mmmm": "%B",
+183        "MON": "%b",
+184        "mon": "%b",
+185        "MM": "%m",
+186        "mm": "%m",
+187        "DD": "%d",
+188        "dd": "%-d",
+189        "DY": "%a",
+190        "dy": "%w",
+191        "HH24": "%H",
+192        "hh24": "%H",
+193        "HH12": "%I",
+194        "hh12": "%I",
+195        "MI": "%M",
+196        "mi": "%M",
+197        "SS": "%S",
+198        "ss": "%S",
+199        "FF": "%f",
+200        "ff": "%f",
+201        "FF6": "%f",
+202        "ff6": "%f",
+203    }
+204
+205    class Parser(parser.Parser):
+206        IDENTIFY_PIVOT_STRINGS = True
+207
+208        FUNCTIONS = {
+209            **parser.Parser.FUNCTIONS,
+210            "ARRAYAGG": exp.ArrayAgg.from_arg_list,
+211            "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
+212            "ARRAY_TO_STRING": exp.ArrayJoin.from_arg_list,
+213            "CONVERT_TIMEZONE": _parse_convert_timezone,
+214            "DATE_TRUNC": date_trunc_to_time,
+215            "DATEADD": lambda args: exp.DateAdd(
+216                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
+217            ),
+218            "DATEDIFF": lambda args: exp.DateDiff(
+219                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
+220            ),
+221            "DIV0": _div0_to_if,
+222            "IFF": exp.If.from_arg_list,
+223            "NULLIFZERO": _nullifzero_to_if,
+224            "OBJECT_CONSTRUCT": _parse_object_construct,
+225            "RLIKE": exp.RegexpLike.from_arg_list,
+226            "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)),
+227            "TO_ARRAY": exp.Array.from_arg_list,
+228            "TO_VARCHAR": exp.ToChar.from_arg_list,
+229            "TO_TIMESTAMP": _snowflake_to_timestamp,
+230            "ZEROIFNULL": _zeroifnull_to_if,
+231        }
+232
+233        FUNCTION_PARSERS = {
+234            **parser.Parser.FUNCTION_PARSERS,
+235            "DATE_PART": _parse_date_part,
+236        }
+237        FUNCTION_PARSERS.pop("TRIM")
+238
+239        FUNC_TOKENS = {
+240            *parser.Parser.FUNC_TOKENS,
+241            TokenType.RLIKE,
+242            TokenType.TABLE,
+243        }
+244
+245        COLUMN_OPERATORS = {
+246            **parser.Parser.COLUMN_OPERATORS,
+247            TokenType.COLON: lambda self, this, path: self.expression(
+248                exp.Bracket, this=this, expressions=[path]
+249            ),
+250        }
 251
-252        RANGE_PARSERS = {
-253            **parser.Parser.RANGE_PARSERS,
-254            TokenType.LIKE_ANY: binary_range_parser(exp.LikeAny),
-255            TokenType.ILIKE_ANY: binary_range_parser(exp.ILikeAny),
-256        }
-257
-258        ALTER_PARSERS = {
-259            **parser.Parser.ALTER_PARSERS,
-260            "UNSET": lambda self: self._parse_alter_table_set_tag(unset=True),
-261            "SET": lambda self: self._parse_alter_table_set_tag(),
-262        }
-263
-264        def _parse_alter_table_set_tag(self, unset: bool = False) -> exp.Expression:
-265            self._match_text_seq("TAG")
-266            parser = t.cast(t.Callable, self._parse_id_var if unset else self._parse_conjunction)
-267            return self.expression(exp.SetTag, expressions=self._parse_csv(parser), unset=unset)
-268
-269    class Tokenizer(tokens.Tokenizer):
-270        QUOTES = ["'", "$$"]
-271        STRING_ESCAPES = ["\\", "'"]
-272        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
-273        COMMENTS = ["--", "//", ("/*", "*/")]
-274
-275        KEYWORDS = {
-276            **tokens.Tokenizer.KEYWORDS,
-277            "CHAR VARYING": TokenType.VARCHAR,
-278            "CHARACTER VARYING": TokenType.VARCHAR,
-279            "EXCLUDE": TokenType.EXCEPT,
-280            "ILIKE ANY": TokenType.ILIKE_ANY,
-281            "LIKE ANY": TokenType.LIKE_ANY,
-282            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
-283            "MINUS": TokenType.EXCEPT,
-284            "NCHAR VARYING": TokenType.VARCHAR,
-285            "PUT": TokenType.COMMAND,
-286            "RENAME": TokenType.REPLACE,
-287            "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ,
-288            "TIMESTAMP_NTZ": TokenType.TIMESTAMP,
-289            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
-290            "TIMESTAMPNTZ": TokenType.TIMESTAMP,
-291            "SAMPLE": TokenType.TABLE_SAMPLE,
-292        }
-293
-294        SINGLE_TOKENS = {
-295            **tokens.Tokenizer.SINGLE_TOKENS,
-296            "$": TokenType.PARAMETER,
-297        }
-298
-299        VAR_SINGLE_TOKENS = {"$"}
+252        TIMESTAMPS = parser.Parser.TIMESTAMPS.copy() - {TokenType.TIME}
+253
+254        RANGE_PARSERS = {
+255            **parser.Parser.RANGE_PARSERS,
+256            TokenType.LIKE_ANY: binary_range_parser(exp.LikeAny),
+257            TokenType.ILIKE_ANY: binary_range_parser(exp.ILikeAny),
+258        }
+259
+260        ALTER_PARSERS = {
+261            **parser.Parser.ALTER_PARSERS,
+262            "UNSET": lambda self: self._parse_alter_table_set_tag(unset=True),
+263            "SET": lambda self: self._parse_alter_table_set_tag(),
+264        }
+265
+266        def _parse_alter_table_set_tag(self, unset: bool = False) -> exp.Expression:
+267            self._match_text_seq("TAG")
+268            parser = t.cast(t.Callable, self._parse_id_var if unset else self._parse_conjunction)
+269            return self.expression(exp.SetTag, expressions=self._parse_csv(parser), unset=unset)
+270
+271    class Tokenizer(tokens.Tokenizer):
+272        QUOTES = ["'", "$$"]
+273        STRING_ESCAPES = ["\\", "'"]
+274        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
+275        COMMENTS = ["--", "//", ("/*", "*/")]
+276
+277        KEYWORDS = {
+278            **tokens.Tokenizer.KEYWORDS,
+279            "CHAR VARYING": TokenType.VARCHAR,
+280            "CHARACTER VARYING": TokenType.VARCHAR,
+281            "EXCLUDE": TokenType.EXCEPT,
+282            "ILIKE ANY": TokenType.ILIKE_ANY,
+283            "LIKE ANY": TokenType.LIKE_ANY,
+284            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
+285            "MINUS": TokenType.EXCEPT,
+286            "NCHAR VARYING": TokenType.VARCHAR,
+287            "PUT": TokenType.COMMAND,
+288            "RENAME": TokenType.REPLACE,
+289            "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ,
+290            "TIMESTAMP_NTZ": TokenType.TIMESTAMP,
+291            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
+292            "TIMESTAMPNTZ": TokenType.TIMESTAMP,
+293            "SAMPLE": TokenType.TABLE_SAMPLE,
+294        }
+295
+296        SINGLE_TOKENS = {
+297            **tokens.Tokenizer.SINGLE_TOKENS,
+298            "$": TokenType.PARAMETER,
+299        }
 300
-301    class Generator(generator.Generator):
-302        PARAMETER_TOKEN = "$"
-303        MATCHED_BY_SOURCE = False
-304        SINGLE_STRING_INTERVAL = True
-305        JOIN_HINTS = False
-306        TABLE_HINTS = False
-307
-308        TRANSFORMS = {
-309            **generator.Generator.TRANSFORMS,
-310            exp.Array: inline_array_sql,
-311            exp.ArrayConcat: rename_func("ARRAY_CAT"),
-312            exp.ArrayJoin: rename_func("ARRAY_TO_STRING"),
-313            exp.AtTimeZone: lambda self, e: self.func(
-314                "CONVERT_TIMEZONE", e.args.get("zone"), e.this
-315            ),
-316            exp.DateAdd: lambda self, e: self.func("DATEADD", e.text("unit"), e.expression, e.this),
-317            exp.DateDiff: lambda self, e: self.func(
-318                "DATEDIFF", e.text("unit"), e.expression, e.this
-319            ),
-320            exp.DateStrToDate: datestrtodate_sql,
-321            exp.DataType: _datatype_sql,
-322            exp.DayOfWeek: rename_func("DAYOFWEEK"),
-323            exp.Extract: rename_func("DATE_PART"),
-324            exp.If: rename_func("IFF"),
-325            exp.LogicalAnd: rename_func("BOOLAND_AGG"),
-326            exp.LogicalOr: rename_func("BOOLOR_AGG"),
-327            exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
-328            exp.Max: max_or_greatest,
-329            exp.Min: min_or_least,
-330            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-331            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
-332            exp.StarMap: rename_func("OBJECT_CONSTRUCT"),
-333            exp.StrPosition: lambda self, e: self.func(
-334                "POSITION", e.args.get("substr"), e.this, e.args.get("position")
-335            ),
-336            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
-337            exp.Struct: lambda self, e: self.func(
-338                "OBJECT_CONSTRUCT",
-339                *(arg for expression in e.expressions for arg in expression.flatten()),
-340            ),
-341            exp.TimeStrToTime: timestrtotime_sql,
-342            exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})",
-343            exp.TimeToStr: lambda self, e: self.func(
-344                "TO_CHAR", exp.cast(e.this, "timestamp"), self.format_time(e)
-345            ),
-346            exp.TimestampTrunc: timestamptrunc_sql,
-347            exp.ToChar: lambda self, e: self.function_fallback_sql(e),
-348            exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression),
-349            exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"),
-350            exp.UnixToTime: _unix_to_time_sql,
-351            exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
-352        }
-353
-354        TYPE_MAPPING = {
-355            **generator.Generator.TYPE_MAPPING,
-356            exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ",
-357        }
-358
-359        STAR_MAPPING = {
-360            "except": "EXCLUDE",
-361            "replace": "RENAME",
-362        }
-363
-364        PROPERTIES_LOCATION = {
-365            **generator.Generator.PROPERTIES_LOCATION,
-366            exp.SetProperty: exp.Properties.Location.UNSUPPORTED,
-367            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-368        }
-369
-370        def except_op(self, expression: exp.Except) -> str:
-371            if not expression.args.get("distinct", False):
-372                self.unsupported("EXCEPT with All is not supported in Snowflake")
-373            return super().except_op(expression)
-374
-375        def intersect_op(self, expression: exp.Intersect) -> str:
-376            if not expression.args.get("distinct", False):
-377                self.unsupported("INTERSECT with All is not supported in Snowflake")
-378            return super().intersect_op(expression)
-379
-380        def settag_sql(self, expression: exp.SetTag) -> str:
-381            action = "UNSET" if expression.args.get("unset") else "SET"
-382            return f"{action} TAG {self.expressions(expression)}"
-383
-384        def describe_sql(self, expression: exp.Describe) -> str:
-385            # Default to table if kind is unknown
-386            kind_value = expression.args.get("kind") or "TABLE"
-387            kind = f" {kind_value}" if kind_value else ""
-388            this = f" {self.sql(expression, 'this')}"
-389            return f"DESCRIBE{kind}{this}"
-390
-391        def generatedasidentitycolumnconstraint_sql(
-392            self, expression: exp.GeneratedAsIdentityColumnConstraint
-393        ) -> str:
-394            start = expression.args.get("start")
-395            start = f" START {start}" if start else ""
-396            increment = expression.args.get("increment")
-397            increment = f" INCREMENT {increment}" if increment else ""
-398            return f"AUTOINCREMENT{start}{increment}"
+301        VAR_SINGLE_TOKENS = {"$"}
+302
+303    class Generator(generator.Generator):
+304        PARAMETER_TOKEN = "$"
+305        MATCHED_BY_SOURCE = False
+306        SINGLE_STRING_INTERVAL = True
+307        JOIN_HINTS = False
+308        TABLE_HINTS = False
+309
+310        TRANSFORMS = {
+311            **generator.Generator.TRANSFORMS,
+312            exp.Array: inline_array_sql,
+313            exp.ArrayConcat: rename_func("ARRAY_CAT"),
+314            exp.ArrayJoin: rename_func("ARRAY_TO_STRING"),
+315            exp.AtTimeZone: lambda self, e: self.func(
+316                "CONVERT_TIMEZONE", e.args.get("zone"), e.this
+317            ),
+318            exp.DateAdd: lambda self, e: self.func("DATEADD", e.text("unit"), e.expression, e.this),
+319            exp.DateDiff: lambda self, e: self.func(
+320                "DATEDIFF", e.text("unit"), e.expression, e.this
+321            ),
+322            exp.DateStrToDate: datestrtodate_sql,
+323            exp.DataType: _datatype_sql,
+324            exp.DayOfWeek: rename_func("DAYOFWEEK"),
+325            exp.Extract: rename_func("DATE_PART"),
+326            exp.If: rename_func("IFF"),
+327            exp.LogicalAnd: rename_func("BOOLAND_AGG"),
+328            exp.LogicalOr: rename_func("BOOLOR_AGG"),
+329            exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
+330            exp.Max: max_or_greatest,
+331            exp.Min: min_or_least,
+332            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+333            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
+334            exp.StarMap: rename_func("OBJECT_CONSTRUCT"),
+335            exp.StrPosition: lambda self, e: self.func(
+336                "POSITION", e.args.get("substr"), e.this, e.args.get("position")
+337            ),
+338            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
+339            exp.Struct: lambda self, e: self.func(
+340                "OBJECT_CONSTRUCT",
+341                *(arg for expression in e.expressions for arg in expression.flatten()),
+342            ),
+343            exp.TimeStrToTime: timestrtotime_sql,
+344            exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})",
+345            exp.TimeToStr: lambda self, e: self.func(
+346                "TO_CHAR", exp.cast(e.this, "timestamp"), self.format_time(e)
+347            ),
+348            exp.TimestampTrunc: timestamptrunc_sql,
+349            exp.ToChar: lambda self, e: self.function_fallback_sql(e),
+350            exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression),
+351            exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"),
+352            exp.UnixToTime: _unix_to_time_sql,
+353            exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
+354        }
+355
+356        TYPE_MAPPING = {
+357            **generator.Generator.TYPE_MAPPING,
+358            exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ",
+359        }
+360
+361        STAR_MAPPING = {
+362            "except": "EXCLUDE",
+363            "replace": "RENAME",
+364        }
+365
+366        PROPERTIES_LOCATION = {
+367            **generator.Generator.PROPERTIES_LOCATION,
+368            exp.SetProperty: exp.Properties.Location.UNSUPPORTED,
+369            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+370        }
+371
+372        def except_op(self, expression: exp.Except) -> str:
+373            if not expression.args.get("distinct", False):
+374                self.unsupported("EXCEPT with All is not supported in Snowflake")
+375            return super().except_op(expression)
+376
+377        def intersect_op(self, expression: exp.Intersect) -> str:
+378            if not expression.args.get("distinct", False):
+379                self.unsupported("INTERSECT with All is not supported in Snowflake")
+380            return super().intersect_op(expression)
+381
+382        def settag_sql(self, expression: exp.SetTag) -> str:
+383            action = "UNSET" if expression.args.get("unset") else "SET"
+384            return f"{action} TAG {self.expressions(expression)}"
+385
+386        def describe_sql(self, expression: exp.Describe) -> str:
+387            # Default to table if kind is unknown
+388            kind_value = expression.args.get("kind") or "TABLE"
+389            kind = f" {kind_value}" if kind_value else ""
+390            this = f" {self.sql(expression, 'this')}"
+391            return f"DESCRIBE{kind}{this}"
+392
+393        def generatedasidentitycolumnconstraint_sql(
+394            self, expression: exp.GeneratedAsIdentityColumnConstraint
+395        ) -> str:
+396            start = expression.args.get("start")
+397            start = f" START {start}" if start else ""
+398            increment = expression.args.get("increment")
+399            increment = f" INCREMENT {increment}" if increment else ""
+400            return f"AUTOINCREMENT{start}{increment}"
    @@ -744,6 +751,10 @@ - 
    203    class Parser(parser.Parser):
-204        IDENTIFY_PIVOT_STRINGS = True
-205
-206        FUNCTIONS = {
-207            **parser.Parser.FUNCTIONS,
-208            "ARRAYAGG": exp.ArrayAgg.from_arg_list,
-209            "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
-210            "ARRAY_TO_STRING": exp.ArrayJoin.from_arg_list,
-211            "CONVERT_TIMEZONE": _parse_convert_timezone,
-212            "DATE_TRUNC": date_trunc_to_time,
-213            "DATEADD": lambda args: exp.DateAdd(
-214                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
-215            ),
-216            "DATEDIFF": lambda args: exp.DateDiff(
-217                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
-218            ),
-219            "DIV0": _div0_to_if,
-220            "IFF": exp.If.from_arg_list,
-221            "NULLIFZERO": _nullifzero_to_if,
-222            "OBJECT_CONSTRUCT": _parse_object_construct,
-223            "RLIKE": exp.RegexpLike.from_arg_list,
-224            "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)),
-225            "TO_ARRAY": exp.Array.from_arg_list,
-226            "TO_VARCHAR": exp.ToChar.from_arg_list,
-227            "TO_TIMESTAMP": _snowflake_to_timestamp,
-228            "ZEROIFNULL": _zeroifnull_to_if,
-229        }
-230
-231        FUNCTION_PARSERS = {
-232            **parser.Parser.FUNCTION_PARSERS,
-233            "DATE_PART": _parse_date_part,
-234        }
-235        FUNCTION_PARSERS.pop("TRIM")
-236
-237        FUNC_TOKENS = {
-238            *parser.Parser.FUNC_TOKENS,
-239            TokenType.RLIKE,
-240            TokenType.TABLE,
-241        }
-242
-243        COLUMN_OPERATORS = {
-244            **parser.Parser.COLUMN_OPERATORS,
-245            TokenType.COLON: lambda self, this, path: self.expression(
-246                exp.Bracket, this=this, expressions=[path]
-247            ),
-248        }
-249
-250        TIMESTAMPS = parser.Parser.TIMESTAMPS.copy() - {TokenType.TIME}
+            
    205    class Parser(parser.Parser):
+206        IDENTIFY_PIVOT_STRINGS = True
+207
+208        FUNCTIONS = {
+209            **parser.Parser.FUNCTIONS,
+210            "ARRAYAGG": exp.ArrayAgg.from_arg_list,
+211            "ARRAY_CONSTRUCT": exp.Array.from_arg_list,
+212            "ARRAY_TO_STRING": exp.ArrayJoin.from_arg_list,
+213            "CONVERT_TIMEZONE": _parse_convert_timezone,
+214            "DATE_TRUNC": date_trunc_to_time,
+215            "DATEADD": lambda args: exp.DateAdd(
+216                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
+217            ),
+218            "DATEDIFF": lambda args: exp.DateDiff(
+219                this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0)
+220            ),
+221            "DIV0": _div0_to_if,
+222            "IFF": exp.If.from_arg_list,
+223            "NULLIFZERO": _nullifzero_to_if,
+224            "OBJECT_CONSTRUCT": _parse_object_construct,
+225            "RLIKE": exp.RegexpLike.from_arg_list,
+226            "SQUARE": lambda args: exp.Pow(this=seq_get(args, 0), expression=exp.Literal.number(2)),
+227            "TO_ARRAY": exp.Array.from_arg_list,
+228            "TO_VARCHAR": exp.ToChar.from_arg_list,
+229            "TO_TIMESTAMP": _snowflake_to_timestamp,
+230            "ZEROIFNULL": _zeroifnull_to_if,
+231        }
+232
+233        FUNCTION_PARSERS = {
+234            **parser.Parser.FUNCTION_PARSERS,
+235            "DATE_PART": _parse_date_part,
+236        }
+237        FUNCTION_PARSERS.pop("TRIM")
+238
+239        FUNC_TOKENS = {
+240            *parser.Parser.FUNC_TOKENS,
+241            TokenType.RLIKE,
+242            TokenType.TABLE,
+243        }
+244
+245        COLUMN_OPERATORS = {
+246            **parser.Parser.COLUMN_OPERATORS,
+247            TokenType.COLON: lambda self, this, path: self.expression(
+248                exp.Bracket, this=this, expressions=[path]
+249            ),
+250        }
 251
-252        RANGE_PARSERS = {
-253            **parser.Parser.RANGE_PARSERS,
-254            TokenType.LIKE_ANY: binary_range_parser(exp.LikeAny),
-255            TokenType.ILIKE_ANY: binary_range_parser(exp.ILikeAny),
-256        }
-257
-258        ALTER_PARSERS = {
-259            **parser.Parser.ALTER_PARSERS,
-260            "UNSET": lambda self: self._parse_alter_table_set_tag(unset=True),
-261            "SET": lambda self: self._parse_alter_table_set_tag(),
-262        }
-263
-264        def _parse_alter_table_set_tag(self, unset: bool = False) -> exp.Expression:
-265            self._match_text_seq("TAG")
-266            parser = t.cast(t.Callable, self._parse_id_var if unset else self._parse_conjunction)
-267            return self.expression(exp.SetTag, expressions=self._parse_csv(parser), unset=unset)
+252        TIMESTAMPS = parser.Parser.TIMESTAMPS.copy() - {TokenType.TIME}
+253
+254        RANGE_PARSERS = {
+255            **parser.Parser.RANGE_PARSERS,
+256            TokenType.LIKE_ANY: binary_range_parser(exp.LikeAny),
+257            TokenType.ILIKE_ANY: binary_range_parser(exp.ILikeAny),
+258        }
+259
+260        ALTER_PARSERS = {
+261            **parser.Parser.ALTER_PARSERS,
+262            "UNSET": lambda self: self._parse_alter_table_set_tag(unset=True),
+263            "SET": lambda self: self._parse_alter_table_set_tag(),
+264        }
+265
+266        def _parse_alter_table_set_tag(self, unset: bool = False) -> exp.Expression:
+267            self._match_text_seq("TAG")
+268            parser = t.cast(t.Callable, self._parse_id_var if unset else self._parse_conjunction)
+269            return self.expression(exp.SetTag, expressions=self._parse_csv(parser), unset=unset)
 
    
 
 
@@ -880,37 +891,37 @@ Default: 3
    - 
    269    class Tokenizer(tokens.Tokenizer):
-270        QUOTES = ["'", "$$"]
-271        STRING_ESCAPES = ["\\", "'"]
-272        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
-273        COMMENTS = ["--", "//", ("/*", "*/")]
-274
-275        KEYWORDS = {
-276            **tokens.Tokenizer.KEYWORDS,
-277            "CHAR VARYING": TokenType.VARCHAR,
-278            "CHARACTER VARYING": TokenType.VARCHAR,
-279            "EXCLUDE": TokenType.EXCEPT,
-280            "ILIKE ANY": TokenType.ILIKE_ANY,
-281            "LIKE ANY": TokenType.LIKE_ANY,
-282            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
-283            "MINUS": TokenType.EXCEPT,
-284            "NCHAR VARYING": TokenType.VARCHAR,
-285            "PUT": TokenType.COMMAND,
-286            "RENAME": TokenType.REPLACE,
-287            "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ,
-288            "TIMESTAMP_NTZ": TokenType.TIMESTAMP,
-289            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
-290            "TIMESTAMPNTZ": TokenType.TIMESTAMP,
-291            "SAMPLE": TokenType.TABLE_SAMPLE,
-292        }
-293
-294        SINGLE_TOKENS = {
-295            **tokens.Tokenizer.SINGLE_TOKENS,
-296            "$": TokenType.PARAMETER,
-297        }
-298
-299        VAR_SINGLE_TOKENS = {"$"}
+            
    271    class Tokenizer(tokens.Tokenizer):
+272        QUOTES = ["'", "$$"]
+273        STRING_ESCAPES = ["\\", "'"]
+274        HEX_STRINGS = [("x'", "'"), ("X'", "'")]
+275        COMMENTS = ["--", "//", ("/*", "*/")]
+276
+277        KEYWORDS = {
+278            **tokens.Tokenizer.KEYWORDS,
+279            "CHAR VARYING": TokenType.VARCHAR,
+280            "CHARACTER VARYING": TokenType.VARCHAR,
+281            "EXCLUDE": TokenType.EXCEPT,
+282            "ILIKE ANY": TokenType.ILIKE_ANY,
+283            "LIKE ANY": TokenType.LIKE_ANY,
+284            "MATCH_RECOGNIZE": TokenType.MATCH_RECOGNIZE,
+285            "MINUS": TokenType.EXCEPT,
+286            "NCHAR VARYING": TokenType.VARCHAR,
+287            "PUT": TokenType.COMMAND,
+288            "RENAME": TokenType.REPLACE,
+289            "TIMESTAMP_LTZ": TokenType.TIMESTAMPLTZ,
+290            "TIMESTAMP_NTZ": TokenType.TIMESTAMP,
+291            "TIMESTAMP_TZ": TokenType.TIMESTAMPTZ,
+292            "TIMESTAMPNTZ": TokenType.TIMESTAMP,
+293            "SAMPLE": TokenType.TABLE_SAMPLE,
+294        }
+295
+296        SINGLE_TOKENS = {
+297            **tokens.Tokenizer.SINGLE_TOKENS,
+298            "$": TokenType.PARAMETER,
+299        }
+300
+301        VAR_SINGLE_TOKENS = {"$"}
 
    
 
 
@@ -939,104 +950,104 @@ Default: 3
    - 
    301    class Generator(generator.Generator):
-302        PARAMETER_TOKEN = "$"
-303        MATCHED_BY_SOURCE = False
-304        SINGLE_STRING_INTERVAL = True
-305        JOIN_HINTS = False
-306        TABLE_HINTS = False
-307
-308        TRANSFORMS = {
-309            **generator.Generator.TRANSFORMS,
-310            exp.Array: inline_array_sql,
-311            exp.ArrayConcat: rename_func("ARRAY_CAT"),
-312            exp.ArrayJoin: rename_func("ARRAY_TO_STRING"),
-313            exp.AtTimeZone: lambda self, e: self.func(
-314                "CONVERT_TIMEZONE", e.args.get("zone"), e.this
-315            ),
-316            exp.DateAdd: lambda self, e: self.func("DATEADD", e.text("unit"), e.expression, e.this),
-317            exp.DateDiff: lambda self, e: self.func(
-318                "DATEDIFF", e.text("unit"), e.expression, e.this
-319            ),
-320            exp.DateStrToDate: datestrtodate_sql,
-321            exp.DataType: _datatype_sql,
-322            exp.DayOfWeek: rename_func("DAYOFWEEK"),
-323            exp.Extract: rename_func("DATE_PART"),
-324            exp.If: rename_func("IFF"),
-325            exp.LogicalAnd: rename_func("BOOLAND_AGG"),
-326            exp.LogicalOr: rename_func("BOOLOR_AGG"),
-327            exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
-328            exp.Max: max_or_greatest,
-329            exp.Min: min_or_least,
-330            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
-331            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
-332            exp.StarMap: rename_func("OBJECT_CONSTRUCT"),
-333            exp.StrPosition: lambda self, e: self.func(
-334                "POSITION", e.args.get("substr"), e.this, e.args.get("position")
-335            ),
-336            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
-337            exp.Struct: lambda self, e: self.func(
-338                "OBJECT_CONSTRUCT",
-339                *(arg for expression in e.expressions for arg in expression.flatten()),
-340            ),
-341            exp.TimeStrToTime: timestrtotime_sql,
-342            exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})",
-343            exp.TimeToStr: lambda self, e: self.func(
-344                "TO_CHAR", exp.cast(e.this, "timestamp"), self.format_time(e)
-345            ),
-346            exp.TimestampTrunc: timestamptrunc_sql,
-347            exp.ToChar: lambda self, e: self.function_fallback_sql(e),
-348            exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression),
-349            exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"),
-350            exp.UnixToTime: _unix_to_time_sql,
-351            exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
-352        }
-353
-354        TYPE_MAPPING = {
-355            **generator.Generator.TYPE_MAPPING,
-356            exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ",
-357        }
-358
-359        STAR_MAPPING = {
-360            "except": "EXCLUDE",
-361            "replace": "RENAME",
-362        }
-363
-364        PROPERTIES_LOCATION = {
-365            **generator.Generator.PROPERTIES_LOCATION,
-366            exp.SetProperty: exp.Properties.Location.UNSUPPORTED,
-367            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
-368        }
-369
-370        def except_op(self, expression: exp.Except) -> str:
-371            if not expression.args.get("distinct", False):
-372                self.unsupported("EXCEPT with All is not supported in Snowflake")
-373            return super().except_op(expression)
-374
-375        def intersect_op(self, expression: exp.Intersect) -> str:
-376            if not expression.args.get("distinct", False):
-377                self.unsupported("INTERSECT with All is not supported in Snowflake")
-378            return super().intersect_op(expression)
-379
-380        def settag_sql(self, expression: exp.SetTag) -> str:
-381            action = "UNSET" if expression.args.get("unset") else "SET"
-382            return f"{action} TAG {self.expressions(expression)}"
-383
-384        def describe_sql(self, expression: exp.Describe) -> str:
-385            # Default to table if kind is unknown
-386            kind_value = expression.args.get("kind") or "TABLE"
-387            kind = f" {kind_value}" if kind_value else ""
-388            this = f" {self.sql(expression, 'this')}"
-389            return f"DESCRIBE{kind}{this}"
-390
-391        def generatedasidentitycolumnconstraint_sql(
-392            self, expression: exp.GeneratedAsIdentityColumnConstraint
-393        ) -> str:
-394            start = expression.args.get("start")
-395            start = f" START {start}" if start else ""
-396            increment = expression.args.get("increment")
-397            increment = f" INCREMENT {increment}" if increment else ""
-398            return f"AUTOINCREMENT{start}{increment}"
+            
    303    class Generator(generator.Generator):
+304        PARAMETER_TOKEN = "$"
+305        MATCHED_BY_SOURCE = False
+306        SINGLE_STRING_INTERVAL = True
+307        JOIN_HINTS = False
+308        TABLE_HINTS = False
+309
+310        TRANSFORMS = {
+311            **generator.Generator.TRANSFORMS,
+312            exp.Array: inline_array_sql,
+313            exp.ArrayConcat: rename_func("ARRAY_CAT"),
+314            exp.ArrayJoin: rename_func("ARRAY_TO_STRING"),
+315            exp.AtTimeZone: lambda self, e: self.func(
+316                "CONVERT_TIMEZONE", e.args.get("zone"), e.this
+317            ),
+318            exp.DateAdd: lambda self, e: self.func("DATEADD", e.text("unit"), e.expression, e.this),
+319            exp.DateDiff: lambda self, e: self.func(
+320                "DATEDIFF", e.text("unit"), e.expression, e.this
+321            ),
+322            exp.DateStrToDate: datestrtodate_sql,
+323            exp.DataType: _datatype_sql,
+324            exp.DayOfWeek: rename_func("DAYOFWEEK"),
+325            exp.Extract: rename_func("DATE_PART"),
+326            exp.If: rename_func("IFF"),
+327            exp.LogicalAnd: rename_func("BOOLAND_AGG"),
+328            exp.LogicalOr: rename_func("BOOLOR_AGG"),
+329            exp.Map: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
+330            exp.Max: max_or_greatest,
+331            exp.Min: min_or_least,
+332            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
+333            exp.Select: transforms.preprocess([transforms.eliminate_distinct_on]),
+334            exp.StarMap: rename_func("OBJECT_CONSTRUCT"),
+335            exp.StrPosition: lambda self, e: self.func(
+336                "POSITION", e.args.get("substr"), e.this, e.args.get("position")
+337            ),
+338            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
+339            exp.Struct: lambda self, e: self.func(
+340                "OBJECT_CONSTRUCT",
+341                *(arg for expression in e.expressions for arg in expression.flatten()),
+342            ),
+343            exp.TimeStrToTime: timestrtotime_sql,
+344            exp.TimeToUnix: lambda self, e: f"EXTRACT(epoch_second FROM {self.sql(e, 'this')})",
+345            exp.TimeToStr: lambda self, e: self.func(
+346                "TO_CHAR", exp.cast(e.this, "timestamp"), self.format_time(e)
+347            ),
+348            exp.TimestampTrunc: timestamptrunc_sql,
+349            exp.ToChar: lambda self, e: self.function_fallback_sql(e),
+350            exp.Trim: lambda self, e: self.func("TRIM", e.this, e.expression),
+351            exp.TsOrDsToDate: ts_or_ds_to_date_sql("snowflake"),
+352            exp.UnixToTime: _unix_to_time_sql,
+353            exp.VarMap: lambda self, e: var_map_sql(self, e, "OBJECT_CONSTRUCT"),
+354        }
+355
+356        TYPE_MAPPING = {
+357            **generator.Generator.TYPE_MAPPING,
+358            exp.DataType.Type.TIMESTAMP: "TIMESTAMPNTZ",
+359        }
+360
+361        STAR_MAPPING = {
+362            "except": "EXCLUDE",
+363            "replace": "RENAME",
+364        }
+365
+366        PROPERTIES_LOCATION = {
+367            **generator.Generator.PROPERTIES_LOCATION,
+368            exp.SetProperty: exp.Properties.Location.UNSUPPORTED,
+369            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
+370        }
+371
+372        def except_op(self, expression: exp.Except) -> str:
+373            if not expression.args.get("distinct", False):
+374                self.unsupported("EXCEPT with All is not supported in Snowflake")
+375            return super().except_op(expression)
+376
+377        def intersect_op(self, expression: exp.Intersect) -> str:
+378            if not expression.args.get("distinct", False):
+379                self.unsupported("INTERSECT with All is not supported in Snowflake")
+380            return super().intersect_op(expression)
+381
+382        def settag_sql(self, expression: exp.SetTag) -> str:
+383            action = "UNSET" if expression.args.get("unset") else "SET"
+384            return f"{action} TAG {self.expressions(expression)}"
+385
+386        def describe_sql(self, expression: exp.Describe) -> str:
+387            # Default to table if kind is unknown
+388            kind_value = expression.args.get("kind") or "TABLE"
+389            kind = f" {kind_value}" if kind_value else ""
+390            this = f" {self.sql(expression, 'this')}"
+391            return f"DESCRIBE{kind}{this}"
+392
+393        def generatedasidentitycolumnconstraint_sql(
+394            self, expression: exp.GeneratedAsIdentityColumnConstraint
+395        ) -> str:
+396            start = expression.args.get("start")
+397            start = f" START {start}" if start else ""
+398            increment = expression.args.get("increment")
+399            increment = f" INCREMENT {increment}" if increment else ""
+400            return f"AUTOINCREMENT{start}{increment}"
 
    
 
 
@@ -1090,10 +1101,10 @@ Default: True
    - 
    370        def except_op(self, expression: exp.Except) -> str:
-371            if not expression.args.get("distinct", False):
-372                self.unsupported("EXCEPT with All is not supported in Snowflake")
-373            return super().except_op(expression)
+            
    372        def except_op(self, expression: exp.Except) -> str:
+373            if not expression.args.get("distinct", False):
+374                self.unsupported("EXCEPT with All is not supported in Snowflake")
+375            return super().except_op(expression)
 
    
 
 
@@ -1111,10 +1122,10 @@ Default: True
    - 
    375        def intersect_op(self, expression: exp.Intersect) -> str:
-376            if not expression.args.get("distinct", False):
-377                self.unsupported("INTERSECT with All is not supported in Snowflake")
-378            return super().intersect_op(expression)
+            
    377        def intersect_op(self, expression: exp.Intersect) -> str:
+378            if not expression.args.get("distinct", False):
+379                self.unsupported("INTERSECT with All is not supported in Snowflake")
+380            return super().intersect_op(expression)
 
    
 
 
@@ -1132,9 +1143,9 @@ Default: True
    - 
    380        def settag_sql(self, expression: exp.SetTag) -> str:
-381            action = "UNSET" if expression.args.get("unset") else "SET"
-382            return f"{action} TAG {self.expressions(expression)}"
+            
    382        def settag_sql(self, expression: exp.SetTag) -> str:
+383            action = "UNSET" if expression.args.get("unset") else "SET"
+384            return f"{action} TAG {self.expressions(expression)}"
 
    
 
 
@@ -1152,12 +1163,12 @@ Default: True
    - 
    384        def describe_sql(self, expression: exp.Describe) -> str:
-385            # Default to table if kind is unknown
-386            kind_value = expression.args.get("kind") or "TABLE"
-387            kind = f" {kind_value}" if kind_value else ""
-388            this = f" {self.sql(expression, 'this')}"
-389            return f"DESCRIBE{kind}{this}"
+            
    386        def describe_sql(self, expression: exp.Describe) -> str:
+387            # Default to table if kind is unknown
+388            kind_value = expression.args.get("kind") or "TABLE"
+389            kind = f" {kind_value}" if kind_value else ""
+390            this = f" {self.sql(expression, 'this')}"
+391            return f"DESCRIBE{kind}{this}"
 
    
 
 
@@ -1175,19 +1186,73 @@ Default: True
    - 
    391        def generatedasidentitycolumnconstraint_sql(
-392            self, expression: exp.GeneratedAsIdentityColumnConstraint
-393        ) -> str:
-394            start = expression.args.get("start")
-395            start = f" START {start}" if start else ""
-396            increment = expression.args.get("increment")
-397            increment = f" INCREMENT {increment}" if increment else ""
-398            return f"AUTOINCREMENT{start}{increment}"
+            
    393        def generatedasidentitycolumnconstraint_sql(
+394            self, expression: exp.GeneratedAsIdentityColumnConstraint
+395        ) -> str:
+396            start = expression.args.get("start")
+397            start = f" START {start}" if start else ""
+398            increment = expression.args.get("increment")
+399            increment = f" INCREMENT {increment}" if increment else ""
+400            return f"AUTOINCREMENT{start}{increment}"
 
    
 
 
     
 
+
    +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -1287,6 +1352,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/spark.html b/docs/sqlglot/dialects/spark.html index 761a94b..fadd619 100644 --- a/docs/sqlglot/dialects/spark.html +++ b/docs/sqlglot/dialects/spark.html @@ -45,6 +45,9 @@
  • datediff_sql
    • +
  • + can_identify +
    • @@ -179,6 +182,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -435,6 +496,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/spark2.html b/docs/sqlglot/dialects/spark2.html index 5e87bc5..0a6a1e4 100644 --- a/docs/sqlglot/dialects/spark2.html +++ b/docs/sqlglot/dialects/spark2.html @@ -48,6 +48,9 @@
  • columndef_sql
    • +
  • + can_identify +
    • @@ -509,6 +512,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -913,6 +974,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/sqlite.html b/docs/sqlglot/dialects/sqlite.html index 353cc6d..95628bd 100644 --- a/docs/sqlglot/dialects/sqlite.html +++ b/docs/sqlglot/dialects/sqlite.html @@ -63,6 +63,9 @@
  • transaction_sql
    • +
  • + can_identify +
    • @@ -153,139 +156,142 @@ 59 60 61class SQLite(Dialect): - 62 class Tokenizer(tokens.Tokenizer): - 63 IDENTIFIERS = ['"', ("[", "]"), "`"] - 64 HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", ""), ("0X", "")] - 65 - 66 class Parser(parser.Parser): - 67 FUNCTIONS = { - 68 **parser.Parser.FUNCTIONS, - 69 "EDITDIST3": exp.Levenshtein.from_arg_list, - 70 } - 71 - 72 class Generator(generator.Generator): - 73 JOIN_HINTS = False - 74 TABLE_HINTS = False - 75 - 76 TYPE_MAPPING = { - 77 **generator.Generator.TYPE_MAPPING, - 78 exp.DataType.Type.BOOLEAN: "INTEGER", - 79 exp.DataType.Type.TINYINT: "INTEGER", - 80 exp.DataType.Type.SMALLINT: "INTEGER", - 81 exp.DataType.Type.INT: "INTEGER", - 82 exp.DataType.Type.BIGINT: "INTEGER", - 83 exp.DataType.Type.FLOAT: "REAL", - 84 exp.DataType.Type.DOUBLE: "REAL", - 85 exp.DataType.Type.DECIMAL: "REAL", - 86 exp.DataType.Type.CHAR: "TEXT", - 87 exp.DataType.Type.NCHAR: "TEXT", - 88 exp.DataType.Type.VARCHAR: "TEXT", - 89 exp.DataType.Type.NVARCHAR: "TEXT", - 90 exp.DataType.Type.BINARY: "BLOB", - 91 exp.DataType.Type.VARBINARY: "BLOB", - 92 } - 93 - 94 TOKEN_MAPPING = { - 95 TokenType.AUTO_INCREMENT: "AUTOINCREMENT", - 96 } - 97 - 98 TRANSFORMS = { - 99 **generator.Generator.TRANSFORMS, -100 exp.Concat: concat_to_dpipe_sql, -101 exp.CountIf: count_if_to_sum, -102 exp.Create: transforms.preprocess([_transform_create]), -103 exp.CurrentDate: lambda *_: "CURRENT_DATE", -104 exp.CurrentTime: lambda *_: "CURRENT_TIME", -105 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", -106 exp.DateAdd: _date_add_sql, -107 exp.DateStrToDate: lambda self, e: self.sql(e, "this"), -108 exp.ILike: no_ilike_sql, -109 exp.JSONExtract: arrow_json_extract_sql, -110 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, -111 exp.JSONBExtract: arrow_json_extract_sql, -112 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, -113 exp.Levenshtein: rename_func("EDITDIST3"), -114 exp.LogicalOr: rename_func("MAX"), -115 exp.LogicalAnd: rename_func("MIN"), -116 exp.Pivot: no_pivot_sql, -117 exp.SafeConcat: concat_to_dpipe_sql, -118 exp.Select: transforms.preprocess( -119 [transforms.eliminate_distinct_on, transforms.eliminate_qualify] -120 ), -121 exp.TableSample: no_tablesample_sql, -122 exp.TimeStrToTime: lambda self, e: self.sql(e, "this"), -123 exp.TryCast: no_trycast_sql, -124 } -125 -126 PROPERTIES_LOCATION = { -127 k: exp.Properties.Location.UNSUPPORTED -128 for k, v in generator.Generator.PROPERTIES_LOCATION.items() -129 } -130 -131 LIMIT_FETCH = "LIMIT" -132 -133 def cast_sql(self, expression: exp.Cast) -> str: -134 if expression.is_type("date"): -135 return self.func("DATE", expression.this) -136 -137 return super().cast_sql(expression) -138 -139 def datediff_sql(self, expression: exp.DateDiff) -> str: -140 unit = expression.args.get("unit") -141 unit = unit.name.upper() if unit else "DAY" -142 -143 sql = f"(JULIANDAY({self.sql(expression, 'this')}) - JULIANDAY({self.sql(expression, 'expression')}))" -144 -145 if unit == "MONTH": -146 sql = f"{sql} / 30.0" -147 elif unit == "YEAR": -148 sql = f"{sql} / 365.0" -149 elif unit == "HOUR": -150 sql = f"{sql} * 24.0" -151 elif unit == "MINUTE": -152 sql = f"{sql} * 1440.0" -153 elif unit == "SECOND": -154 sql = f"{sql} * 86400.0" -155 elif unit == "MILLISECOND": -156 sql = f"{sql} * 86400000.0" -157 elif unit == "MICROSECOND": -158 sql = f"{sql} * 86400000000.0" -159 elif unit == "NANOSECOND": -160 sql = f"{sql} * 8640000000000.0" -161 else: -162 self.unsupported("DATEDIFF unsupported for '{unit}'.") -163 -164 return f"CAST({sql} AS INTEGER)" -165 -166 # https://www.sqlite.org/lang_aggfunc.html#group_concat -167 def groupconcat_sql(self, expression: exp.GroupConcat) -> str: -168 this = expression.this -169 distinct = expression.find(exp.Distinct) -170 -171 if distinct: -172 this = distinct.expressions[0] -173 distinct_sql = "DISTINCT " -174 else: -175 distinct_sql = "" -176 -177 if isinstance(expression.this, exp.Order): -178 self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.") -179 if expression.this.this and not distinct: -180 this = expression.this.this -181 -182 separator = expression.args.get("separator") -183 return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})" + 62 # https://sqlite.org/forum/forumpost/5e575586ac5c711b?raw + 63 RESOLVES_IDENTIFIERS_AS_UPPERCASE = None + 64 + 65 class Tokenizer(tokens.Tokenizer): + 66 IDENTIFIERS = ['"', ("[", "]"), "`"] + 67 HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", ""), ("0X", "")] + 68 + 69 class Parser(parser.Parser): + 70 FUNCTIONS = { + 71 **parser.Parser.FUNCTIONS, + 72 "EDITDIST3": exp.Levenshtein.from_arg_list, + 73 } + 74 + 75 class Generator(generator.Generator): + 76 JOIN_HINTS = False + 77 TABLE_HINTS = False + 78 + 79 TYPE_MAPPING = { + 80 **generator.Generator.TYPE_MAPPING, + 81 exp.DataType.Type.BOOLEAN: "INTEGER", + 82 exp.DataType.Type.TINYINT: "INTEGER", + 83 exp.DataType.Type.SMALLINT: "INTEGER", + 84 exp.DataType.Type.INT: "INTEGER", + 85 exp.DataType.Type.BIGINT: "INTEGER", + 86 exp.DataType.Type.FLOAT: "REAL", + 87 exp.DataType.Type.DOUBLE: "REAL", + 88 exp.DataType.Type.DECIMAL: "REAL", + 89 exp.DataType.Type.CHAR: "TEXT", + 90 exp.DataType.Type.NCHAR: "TEXT", + 91 exp.DataType.Type.VARCHAR: "TEXT", + 92 exp.DataType.Type.NVARCHAR: "TEXT", + 93 exp.DataType.Type.BINARY: "BLOB", + 94 exp.DataType.Type.VARBINARY: "BLOB", + 95 } + 96 + 97 TOKEN_MAPPING = { + 98 TokenType.AUTO_INCREMENT: "AUTOINCREMENT", + 99 } +100 +101 TRANSFORMS = { +102 **generator.Generator.TRANSFORMS, +103 exp.Concat: concat_to_dpipe_sql, +104 exp.CountIf: count_if_to_sum, +105 exp.Create: transforms.preprocess([_transform_create]), +106 exp.CurrentDate: lambda *_: "CURRENT_DATE", +107 exp.CurrentTime: lambda *_: "CURRENT_TIME", +108 exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP", +109 exp.DateAdd: _date_add_sql, +110 exp.DateStrToDate: lambda self, e: self.sql(e, "this"), +111 exp.ILike: no_ilike_sql, +112 exp.JSONExtract: arrow_json_extract_sql, +113 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, +114 exp.JSONBExtract: arrow_json_extract_sql, +115 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, +116 exp.Levenshtein: rename_func("EDITDIST3"), +117 exp.LogicalOr: rename_func("MAX"), +118 exp.LogicalAnd: rename_func("MIN"), +119 exp.Pivot: no_pivot_sql, +120 exp.SafeConcat: concat_to_dpipe_sql, +121 exp.Select: transforms.preprocess( +122 [transforms.eliminate_distinct_on, transforms.eliminate_qualify] +123 ), +124 exp.TableSample: no_tablesample_sql, +125 exp.TimeStrToTime: lambda self, e: self.sql(e, "this"), +126 exp.TryCast: no_trycast_sql, +127 } +128 +129 PROPERTIES_LOCATION = { +130 k: exp.Properties.Location.UNSUPPORTED +131 for k, v in generator.Generator.PROPERTIES_LOCATION.items() +132 } +133 +134 LIMIT_FETCH = "LIMIT" +135 +136 def cast_sql(self, expression: exp.Cast) -> str: +137 if expression.is_type("date"): +138 return self.func("DATE", expression.this) +139 +140 return super().cast_sql(expression) +141 +142 def datediff_sql(self, expression: exp.DateDiff) -> str: +143 unit = expression.args.get("unit") +144 unit = unit.name.upper() if unit else "DAY" +145 +146 sql = f"(JULIANDAY({self.sql(expression, 'this')}) - JULIANDAY({self.sql(expression, 'expression')}))" +147 +148 if unit == "MONTH": +149 sql = f"{sql} / 30.0" +150 elif unit == "YEAR": +151 sql = f"{sql} / 365.0" +152 elif unit == "HOUR": +153 sql = f"{sql} * 24.0" +154 elif unit == "MINUTE": +155 sql = f"{sql} * 1440.0" +156 elif unit == "SECOND": +157 sql = f"{sql} * 86400.0" +158 elif unit == "MILLISECOND": +159 sql = f"{sql} * 86400000.0" +160 elif unit == "MICROSECOND": +161 sql = f"{sql} * 86400000000.0" +162 elif unit == "NANOSECOND": +163 sql = f"{sql} * 8640000000000.0" +164 else: +165 self.unsupported("DATEDIFF unsupported for '{unit}'.") +166 +167 return f"CAST({sql} AS INTEGER)" +168 +169 # https://www.sqlite.org/lang_aggfunc.html#group_concat +170 def groupconcat_sql(self, expression: exp.GroupConcat) -> str: +171 this = expression.this +172 distinct = expression.find(exp.Distinct) +173 +174 if distinct: +175 this = distinct.expressions[0] +176 distinct_sql = "DISTINCT " +177 else: +178 distinct_sql = "" +179 +180 if isinstance(expression.this, exp.Order): +181 self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.") +182 if expression.this.this and not distinct: +183 this = expression.this.this 184 -185 def least_sql(self, expression: exp.Least) -> str: -186 if len(expression.expressions) > 1: -187 return rename_func("MIN")(self, expression) -188 -189 return self.expressions(expression) -190 -191 def transaction_sql(self, expression: exp.Transaction) -> str: -192 this = expression.this -193 this = f" {this}" if this else "" -194 return f"BEGIN{this} TRANSACTION" +185 separator = expression.args.get("separator") +186 return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})" +187 +188 def least_sql(self, expression: exp.Least) -> str: +189 if len(expression.expressions) > 1: +190 return rename_func("MIN")(self, expression) +191 +192 return self.expressions(expression) +193 +194 def transaction_sql(self, expression: exp.Transaction) -> str: +195 this = expression.this +196 this = f" {this}" if this else "" +197 return f"BEGIN{this} TRANSACTION"
    @@ -302,139 +308,142 @@ 
     62class SQLite(Dialect):
- 63    class Tokenizer(tokens.Tokenizer):
- 64        IDENTIFIERS = ['"', ("[", "]"), "`"]
- 65        HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", ""), ("0X", "")]
- 66
- 67    class Parser(parser.Parser):
- 68        FUNCTIONS = {
- 69            **parser.Parser.FUNCTIONS,
- 70            "EDITDIST3": exp.Levenshtein.from_arg_list,
- 71        }
- 72
- 73    class Generator(generator.Generator):
- 74        JOIN_HINTS = False
- 75        TABLE_HINTS = False
- 76
- 77        TYPE_MAPPING = {
- 78            **generator.Generator.TYPE_MAPPING,
- 79            exp.DataType.Type.BOOLEAN: "INTEGER",
- 80            exp.DataType.Type.TINYINT: "INTEGER",
- 81            exp.DataType.Type.SMALLINT: "INTEGER",
- 82            exp.DataType.Type.INT: "INTEGER",
- 83            exp.DataType.Type.BIGINT: "INTEGER",
- 84            exp.DataType.Type.FLOAT: "REAL",
- 85            exp.DataType.Type.DOUBLE: "REAL",
- 86            exp.DataType.Type.DECIMAL: "REAL",
- 87            exp.DataType.Type.CHAR: "TEXT",
- 88            exp.DataType.Type.NCHAR: "TEXT",
- 89            exp.DataType.Type.VARCHAR: "TEXT",
- 90            exp.DataType.Type.NVARCHAR: "TEXT",
- 91            exp.DataType.Type.BINARY: "BLOB",
- 92            exp.DataType.Type.VARBINARY: "BLOB",
- 93        }
- 94
- 95        TOKEN_MAPPING = {
- 96            TokenType.AUTO_INCREMENT: "AUTOINCREMENT",
- 97        }
- 98
- 99        TRANSFORMS = {
-100            **generator.Generator.TRANSFORMS,
-101            exp.Concat: concat_to_dpipe_sql,
-102            exp.CountIf: count_if_to_sum,
-103            exp.Create: transforms.preprocess([_transform_create]),
-104            exp.CurrentDate: lambda *_: "CURRENT_DATE",
-105            exp.CurrentTime: lambda *_: "CURRENT_TIME",
-106            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
-107            exp.DateAdd: _date_add_sql,
-108            exp.DateStrToDate: lambda self, e: self.sql(e, "this"),
-109            exp.ILike: no_ilike_sql,
-110            exp.JSONExtract: arrow_json_extract_sql,
-111            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-112            exp.JSONBExtract: arrow_json_extract_sql,
-113            exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
-114            exp.Levenshtein: rename_func("EDITDIST3"),
-115            exp.LogicalOr: rename_func("MAX"),
-116            exp.LogicalAnd: rename_func("MIN"),
-117            exp.Pivot: no_pivot_sql,
-118            exp.SafeConcat: concat_to_dpipe_sql,
-119            exp.Select: transforms.preprocess(
-120                [transforms.eliminate_distinct_on, transforms.eliminate_qualify]
-121            ),
-122            exp.TableSample: no_tablesample_sql,
-123            exp.TimeStrToTime: lambda self, e: self.sql(e, "this"),
-124            exp.TryCast: no_trycast_sql,
-125        }
-126
-127        PROPERTIES_LOCATION = {
-128            k: exp.Properties.Location.UNSUPPORTED
-129            for k, v in generator.Generator.PROPERTIES_LOCATION.items()
-130        }
-131
-132        LIMIT_FETCH = "LIMIT"
-133
-134        def cast_sql(self, expression: exp.Cast) -> str:
-135            if expression.is_type("date"):
-136                return self.func("DATE", expression.this)
-137
-138            return super().cast_sql(expression)
-139
-140        def datediff_sql(self, expression: exp.DateDiff) -> str:
-141            unit = expression.args.get("unit")
-142            unit = unit.name.upper() if unit else "DAY"
-143
-144            sql = f"(JULIANDAY({self.sql(expression, 'this')}) - JULIANDAY({self.sql(expression, 'expression')}))"
-145
-146            if unit == "MONTH":
-147                sql = f"{sql} / 30.0"
-148            elif unit == "YEAR":
-149                sql = f"{sql} / 365.0"
-150            elif unit == "HOUR":
-151                sql = f"{sql} * 24.0"
-152            elif unit == "MINUTE":
-153                sql = f"{sql} * 1440.0"
-154            elif unit == "SECOND":
-155                sql = f"{sql} * 86400.0"
-156            elif unit == "MILLISECOND":
-157                sql = f"{sql} * 86400000.0"
-158            elif unit == "MICROSECOND":
-159                sql = f"{sql} * 86400000000.0"
-160            elif unit == "NANOSECOND":
-161                sql = f"{sql} * 8640000000000.0"
-162            else:
-163                self.unsupported("DATEDIFF unsupported for '{unit}'.")
-164
-165            return f"CAST({sql} AS INTEGER)"
-166
-167        # https://www.sqlite.org/lang_aggfunc.html#group_concat
-168        def groupconcat_sql(self, expression: exp.GroupConcat) -> str:
-169            this = expression.this
-170            distinct = expression.find(exp.Distinct)
-171
-172            if distinct:
-173                this = distinct.expressions[0]
-174                distinct_sql = "DISTINCT "
-175            else:
-176                distinct_sql = ""
-177
-178            if isinstance(expression.this, exp.Order):
-179                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
-180                if expression.this.this and not distinct:
-181                    this = expression.this.this
-182
-183            separator = expression.args.get("separator")
-184            return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})"
+ 63    # https://sqlite.org/forum/forumpost/5e575586ac5c711b?raw
+ 64    RESOLVES_IDENTIFIERS_AS_UPPERCASE = None
+ 65
+ 66    class Tokenizer(tokens.Tokenizer):
+ 67        IDENTIFIERS = ['"', ("[", "]"), "`"]
+ 68        HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", ""), ("0X", "")]
+ 69
+ 70    class Parser(parser.Parser):
+ 71        FUNCTIONS = {
+ 72            **parser.Parser.FUNCTIONS,
+ 73            "EDITDIST3": exp.Levenshtein.from_arg_list,
+ 74        }
+ 75
+ 76    class Generator(generator.Generator):
+ 77        JOIN_HINTS = False
+ 78        TABLE_HINTS = False
+ 79
+ 80        TYPE_MAPPING = {
+ 81            **generator.Generator.TYPE_MAPPING,
+ 82            exp.DataType.Type.BOOLEAN: "INTEGER",
+ 83            exp.DataType.Type.TINYINT: "INTEGER",
+ 84            exp.DataType.Type.SMALLINT: "INTEGER",
+ 85            exp.DataType.Type.INT: "INTEGER",
+ 86            exp.DataType.Type.BIGINT: "INTEGER",
+ 87            exp.DataType.Type.FLOAT: "REAL",
+ 88            exp.DataType.Type.DOUBLE: "REAL",
+ 89            exp.DataType.Type.DECIMAL: "REAL",
+ 90            exp.DataType.Type.CHAR: "TEXT",
+ 91            exp.DataType.Type.NCHAR: "TEXT",
+ 92            exp.DataType.Type.VARCHAR: "TEXT",
+ 93            exp.DataType.Type.NVARCHAR: "TEXT",
+ 94            exp.DataType.Type.BINARY: "BLOB",
+ 95            exp.DataType.Type.VARBINARY: "BLOB",
+ 96        }
+ 97
+ 98        TOKEN_MAPPING = {
+ 99            TokenType.AUTO_INCREMENT: "AUTOINCREMENT",
+100        }
+101
+102        TRANSFORMS = {
+103            **generator.Generator.TRANSFORMS,
+104            exp.Concat: concat_to_dpipe_sql,
+105            exp.CountIf: count_if_to_sum,
+106            exp.Create: transforms.preprocess([_transform_create]),
+107            exp.CurrentDate: lambda *_: "CURRENT_DATE",
+108            exp.CurrentTime: lambda *_: "CURRENT_TIME",
+109            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
+110            exp.DateAdd: _date_add_sql,
+111            exp.DateStrToDate: lambda self, e: self.sql(e, "this"),
+112            exp.ILike: no_ilike_sql,
+113            exp.JSONExtract: arrow_json_extract_sql,
+114            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+115            exp.JSONBExtract: arrow_json_extract_sql,
+116            exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
+117            exp.Levenshtein: rename_func("EDITDIST3"),
+118            exp.LogicalOr: rename_func("MAX"),
+119            exp.LogicalAnd: rename_func("MIN"),
+120            exp.Pivot: no_pivot_sql,
+121            exp.SafeConcat: concat_to_dpipe_sql,
+122            exp.Select: transforms.preprocess(
+123                [transforms.eliminate_distinct_on, transforms.eliminate_qualify]
+124            ),
+125            exp.TableSample: no_tablesample_sql,
+126            exp.TimeStrToTime: lambda self, e: self.sql(e, "this"),
+127            exp.TryCast: no_trycast_sql,
+128        }
+129
+130        PROPERTIES_LOCATION = {
+131            k: exp.Properties.Location.UNSUPPORTED
+132            for k, v in generator.Generator.PROPERTIES_LOCATION.items()
+133        }
+134
+135        LIMIT_FETCH = "LIMIT"
+136
+137        def cast_sql(self, expression: exp.Cast) -> str:
+138            if expression.is_type("date"):
+139                return self.func("DATE", expression.this)
+140
+141            return super().cast_sql(expression)
+142
+143        def datediff_sql(self, expression: exp.DateDiff) -> str:
+144            unit = expression.args.get("unit")
+145            unit = unit.name.upper() if unit else "DAY"
+146
+147            sql = f"(JULIANDAY({self.sql(expression, 'this')}) - JULIANDAY({self.sql(expression, 'expression')}))"
+148
+149            if unit == "MONTH":
+150                sql = f"{sql} / 30.0"
+151            elif unit == "YEAR":
+152                sql = f"{sql} / 365.0"
+153            elif unit == "HOUR":
+154                sql = f"{sql} * 24.0"
+155            elif unit == "MINUTE":
+156                sql = f"{sql} * 1440.0"
+157            elif unit == "SECOND":
+158                sql = f"{sql} * 86400.0"
+159            elif unit == "MILLISECOND":
+160                sql = f"{sql} * 86400000.0"
+161            elif unit == "MICROSECOND":
+162                sql = f"{sql} * 86400000000.0"
+163            elif unit == "NANOSECOND":
+164                sql = f"{sql} * 8640000000000.0"
+165            else:
+166                self.unsupported("DATEDIFF unsupported for '{unit}'.")
+167
+168            return f"CAST({sql} AS INTEGER)"
+169
+170        # https://www.sqlite.org/lang_aggfunc.html#group_concat
+171        def groupconcat_sql(self, expression: exp.GroupConcat) -> str:
+172            this = expression.this
+173            distinct = expression.find(exp.Distinct)
+174
+175            if distinct:
+176                this = distinct.expressions[0]
+177                distinct_sql = "DISTINCT "
+178            else:
+179                distinct_sql = ""
+180
+181            if isinstance(expression.this, exp.Order):
+182                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
+183                if expression.this.this and not distinct:
+184                    this = expression.this.this
 185
-186        def least_sql(self, expression: exp.Least) -> str:
-187            if len(expression.expressions) > 1:
-188                return rename_func("MIN")(self, expression)
-189
-190            return self.expressions(expression)
-191
-192        def transaction_sql(self, expression: exp.Transaction) -> str:
-193            this = expression.this
-194            this = f" {this}" if this else ""
-195            return f"BEGIN{this} TRANSACTION"
+186            separator = expression.args.get("separator")
+187            return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})"
+188
+189        def least_sql(self, expression: exp.Least) -> str:
+190            if len(expression.expressions) > 1:
+191                return rename_func("MIN")(self, expression)
+192
+193            return self.expressions(expression)
+194
+195        def transaction_sql(self, expression: exp.Transaction) -> str:
+196            this = expression.this
+197            this = f" {this}" if this else ""
+198            return f"BEGIN{this} TRANSACTION"
    @@ -446,6 +455,10 @@ - 
    63    class Tokenizer(tokens.Tokenizer):
-64        IDENTIFIERS = ['"', ("[", "]"), "`"]
-65        HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", ""), ("0X", "")]
+            
    66    class Tokenizer(tokens.Tokenizer):
+67        IDENTIFIERS = ['"', ("[", "]"), "`"]
+68        HEX_STRINGS = [("x'", "'"), ("X'", "'"), ("0x", ""), ("0X", "")]
 
    
 
 
@@ -500,11 +513,11 @@
    - 
    67    class Parser(parser.Parser):
-68        FUNCTIONS = {
-69            **parser.Parser.FUNCTIONS,
-70            "EDITDIST3": exp.Levenshtein.from_arg_list,
-71        }
+            
    70    class Parser(parser.Parser):
+71        FUNCTIONS = {
+72            **parser.Parser.FUNCTIONS,
+73            "EDITDIST3": exp.Levenshtein.from_arg_list,
+74        }
 
    
 
 
@@ -553,129 +566,129 @@ Default: 3
    - 
     73    class Generator(generator.Generator):
- 74        JOIN_HINTS = False
- 75        TABLE_HINTS = False
- 76
- 77        TYPE_MAPPING = {
- 78            **generator.Generator.TYPE_MAPPING,
- 79            exp.DataType.Type.BOOLEAN: "INTEGER",
- 80            exp.DataType.Type.TINYINT: "INTEGER",
- 81            exp.DataType.Type.SMALLINT: "INTEGER",
- 82            exp.DataType.Type.INT: "INTEGER",
- 83            exp.DataType.Type.BIGINT: "INTEGER",
- 84            exp.DataType.Type.FLOAT: "REAL",
- 85            exp.DataType.Type.DOUBLE: "REAL",
- 86            exp.DataType.Type.DECIMAL: "REAL",
- 87            exp.DataType.Type.CHAR: "TEXT",
- 88            exp.DataType.Type.NCHAR: "TEXT",
- 89            exp.DataType.Type.VARCHAR: "TEXT",
- 90            exp.DataType.Type.NVARCHAR: "TEXT",
- 91            exp.DataType.Type.BINARY: "BLOB",
- 92            exp.DataType.Type.VARBINARY: "BLOB",
- 93        }
- 94
- 95        TOKEN_MAPPING = {
- 96            TokenType.AUTO_INCREMENT: "AUTOINCREMENT",
- 97        }
- 98
- 99        TRANSFORMS = {
-100            **generator.Generator.TRANSFORMS,
-101            exp.Concat: concat_to_dpipe_sql,
-102            exp.CountIf: count_if_to_sum,
-103            exp.Create: transforms.preprocess([_transform_create]),
-104            exp.CurrentDate: lambda *_: "CURRENT_DATE",
-105            exp.CurrentTime: lambda *_: "CURRENT_TIME",
-106            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
-107            exp.DateAdd: _date_add_sql,
-108            exp.DateStrToDate: lambda self, e: self.sql(e, "this"),
-109            exp.ILike: no_ilike_sql,
-110            exp.JSONExtract: arrow_json_extract_sql,
-111            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
-112            exp.JSONBExtract: arrow_json_extract_sql,
-113            exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
-114            exp.Levenshtein: rename_func("EDITDIST3"),
-115            exp.LogicalOr: rename_func("MAX"),
-116            exp.LogicalAnd: rename_func("MIN"),
-117            exp.Pivot: no_pivot_sql,
-118            exp.SafeConcat: concat_to_dpipe_sql,
-119            exp.Select: transforms.preprocess(
-120                [transforms.eliminate_distinct_on, transforms.eliminate_qualify]
-121            ),
-122            exp.TableSample: no_tablesample_sql,
-123            exp.TimeStrToTime: lambda self, e: self.sql(e, "this"),
-124            exp.TryCast: no_trycast_sql,
-125        }
-126
-127        PROPERTIES_LOCATION = {
-128            k: exp.Properties.Location.UNSUPPORTED
-129            for k, v in generator.Generator.PROPERTIES_LOCATION.items()
-130        }
-131
-132        LIMIT_FETCH = "LIMIT"
-133
-134        def cast_sql(self, expression: exp.Cast) -> str:
-135            if expression.is_type("date"):
-136                return self.func("DATE", expression.this)
-137
-138            return super().cast_sql(expression)
-139
-140        def datediff_sql(self, expression: exp.DateDiff) -> str:
-141            unit = expression.args.get("unit")
-142            unit = unit.name.upper() if unit else "DAY"
-143
-144            sql = f"(JULIANDAY({self.sql(expression, 'this')}) - JULIANDAY({self.sql(expression, 'expression')}))"
-145
-146            if unit == "MONTH":
-147                sql = f"{sql} / 30.0"
-148            elif unit == "YEAR":
-149                sql = f"{sql} / 365.0"
-150            elif unit == "HOUR":
-151                sql = f"{sql} * 24.0"
-152            elif unit == "MINUTE":
-153                sql = f"{sql} * 1440.0"
-154            elif unit == "SECOND":
-155                sql = f"{sql} * 86400.0"
-156            elif unit == "MILLISECOND":
-157                sql = f"{sql} * 86400000.0"
-158            elif unit == "MICROSECOND":
-159                sql = f"{sql} * 86400000000.0"
-160            elif unit == "NANOSECOND":
-161                sql = f"{sql} * 8640000000000.0"
-162            else:
-163                self.unsupported("DATEDIFF unsupported for '{unit}'.")
-164
-165            return f"CAST({sql} AS INTEGER)"
-166
-167        # https://www.sqlite.org/lang_aggfunc.html#group_concat
-168        def groupconcat_sql(self, expression: exp.GroupConcat) -> str:
-169            this = expression.this
-170            distinct = expression.find(exp.Distinct)
-171
-172            if distinct:
-173                this = distinct.expressions[0]
-174                distinct_sql = "DISTINCT "
-175            else:
-176                distinct_sql = ""
-177
-178            if isinstance(expression.this, exp.Order):
-179                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
-180                if expression.this.this and not distinct:
-181                    this = expression.this.this
-182
-183            separator = expression.args.get("separator")
-184            return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})"
+            
     76    class Generator(generator.Generator):
+ 77        JOIN_HINTS = False
+ 78        TABLE_HINTS = False
+ 79
+ 80        TYPE_MAPPING = {
+ 81            **generator.Generator.TYPE_MAPPING,
+ 82            exp.DataType.Type.BOOLEAN: "INTEGER",
+ 83            exp.DataType.Type.TINYINT: "INTEGER",
+ 84            exp.DataType.Type.SMALLINT: "INTEGER",
+ 85            exp.DataType.Type.INT: "INTEGER",
+ 86            exp.DataType.Type.BIGINT: "INTEGER",
+ 87            exp.DataType.Type.FLOAT: "REAL",
+ 88            exp.DataType.Type.DOUBLE: "REAL",
+ 89            exp.DataType.Type.DECIMAL: "REAL",
+ 90            exp.DataType.Type.CHAR: "TEXT",
+ 91            exp.DataType.Type.NCHAR: "TEXT",
+ 92            exp.DataType.Type.VARCHAR: "TEXT",
+ 93            exp.DataType.Type.NVARCHAR: "TEXT",
+ 94            exp.DataType.Type.BINARY: "BLOB",
+ 95            exp.DataType.Type.VARBINARY: "BLOB",
+ 96        }
+ 97
+ 98        TOKEN_MAPPING = {
+ 99            TokenType.AUTO_INCREMENT: "AUTOINCREMENT",
+100        }
+101
+102        TRANSFORMS = {
+103            **generator.Generator.TRANSFORMS,
+104            exp.Concat: concat_to_dpipe_sql,
+105            exp.CountIf: count_if_to_sum,
+106            exp.Create: transforms.preprocess([_transform_create]),
+107            exp.CurrentDate: lambda *_: "CURRENT_DATE",
+108            exp.CurrentTime: lambda *_: "CURRENT_TIME",
+109            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
+110            exp.DateAdd: _date_add_sql,
+111            exp.DateStrToDate: lambda self, e: self.sql(e, "this"),
+112            exp.ILike: no_ilike_sql,
+113            exp.JSONExtract: arrow_json_extract_sql,
+114            exp.JSONExtractScalar: arrow_json_extract_scalar_sql,
+115            exp.JSONBExtract: arrow_json_extract_sql,
+116            exp.JSONBExtractScalar: arrow_json_extract_scalar_sql,
+117            exp.Levenshtein: rename_func("EDITDIST3"),
+118            exp.LogicalOr: rename_func("MAX"),
+119            exp.LogicalAnd: rename_func("MIN"),
+120            exp.Pivot: no_pivot_sql,
+121            exp.SafeConcat: concat_to_dpipe_sql,
+122            exp.Select: transforms.preprocess(
+123                [transforms.eliminate_distinct_on, transforms.eliminate_qualify]
+124            ),
+125            exp.TableSample: no_tablesample_sql,
+126            exp.TimeStrToTime: lambda self, e: self.sql(e, "this"),
+127            exp.TryCast: no_trycast_sql,
+128        }
+129
+130        PROPERTIES_LOCATION = {
+131            k: exp.Properties.Location.UNSUPPORTED
+132            for k, v in generator.Generator.PROPERTIES_LOCATION.items()
+133        }
+134
+135        LIMIT_FETCH = "LIMIT"
+136
+137        def cast_sql(self, expression: exp.Cast) -> str:
+138            if expression.is_type("date"):
+139                return self.func("DATE", expression.this)
+140
+141            return super().cast_sql(expression)
+142
+143        def datediff_sql(self, expression: exp.DateDiff) -> str:
+144            unit = expression.args.get("unit")
+145            unit = unit.name.upper() if unit else "DAY"
+146
+147            sql = f"(JULIANDAY({self.sql(expression, 'this')}) - JULIANDAY({self.sql(expression, 'expression')}))"
+148
+149            if unit == "MONTH":
+150                sql = f"{sql} / 30.0"
+151            elif unit == "YEAR":
+152                sql = f"{sql} / 365.0"
+153            elif unit == "HOUR":
+154                sql = f"{sql} * 24.0"
+155            elif unit == "MINUTE":
+156                sql = f"{sql} * 1440.0"
+157            elif unit == "SECOND":
+158                sql = f"{sql} * 86400.0"
+159            elif unit == "MILLISECOND":
+160                sql = f"{sql} * 86400000.0"
+161            elif unit == "MICROSECOND":
+162                sql = f"{sql} * 86400000000.0"
+163            elif unit == "NANOSECOND":
+164                sql = f"{sql} * 8640000000000.0"
+165            else:
+166                self.unsupported("DATEDIFF unsupported for '{unit}'.")
+167
+168            return f"CAST({sql} AS INTEGER)"
+169
+170        # https://www.sqlite.org/lang_aggfunc.html#group_concat
+171        def groupconcat_sql(self, expression: exp.GroupConcat) -> str:
+172            this = expression.this
+173            distinct = expression.find(exp.Distinct)
+174
+175            if distinct:
+176                this = distinct.expressions[0]
+177                distinct_sql = "DISTINCT "
+178            else:
+179                distinct_sql = ""
+180
+181            if isinstance(expression.this, exp.Order):
+182                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
+183                if expression.this.this and not distinct:
+184                    this = expression.this.this
 185
-186        def least_sql(self, expression: exp.Least) -> str:
-187            if len(expression.expressions) > 1:
-188                return rename_func("MIN")(self, expression)
-189
-190            return self.expressions(expression)
-191
-192        def transaction_sql(self, expression: exp.Transaction) -> str:
-193            this = expression.this
-194            this = f" {this}" if this else ""
-195            return f"BEGIN{this} TRANSACTION"
+186            separator = expression.args.get("separator")
+187            return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})"
+188
+189        def least_sql(self, expression: exp.Least) -> str:
+190            if len(expression.expressions) > 1:
+191                return rename_func("MIN")(self, expression)
+192
+193            return self.expressions(expression)
+194
+195        def transaction_sql(self, expression: exp.Transaction) -> str:
+196            this = expression.this
+197            this = f" {this}" if this else ""
+198            return f"BEGIN{this} TRANSACTION"
 
    
 
 
@@ -729,11 +742,11 @@ Default: True
    - 
    134        def cast_sql(self, expression: exp.Cast) -> str:
-135            if expression.is_type("date"):
-136                return self.func("DATE", expression.this)
-137
-138            return super().cast_sql(expression)
+            
    137        def cast_sql(self, expression: exp.Cast) -> str:
+138            if expression.is_type("date"):
+139                return self.func("DATE", expression.this)
+140
+141            return super().cast_sql(expression)
 
    
 
 
@@ -751,32 +764,32 @@ Default: True
    - 
    140        def datediff_sql(self, expression: exp.DateDiff) -> str:
-141            unit = expression.args.get("unit")
-142            unit = unit.name.upper() if unit else "DAY"
-143
-144            sql = f"(JULIANDAY({self.sql(expression, 'this')}) - JULIANDAY({self.sql(expression, 'expression')}))"
-145
-146            if unit == "MONTH":
-147                sql = f"{sql} / 30.0"
-148            elif unit == "YEAR":
-149                sql = f"{sql} / 365.0"
-150            elif unit == "HOUR":
-151                sql = f"{sql} * 24.0"
-152            elif unit == "MINUTE":
-153                sql = f"{sql} * 1440.0"
-154            elif unit == "SECOND":
-155                sql = f"{sql} * 86400.0"
-156            elif unit == "MILLISECOND":
-157                sql = f"{sql} * 86400000.0"
-158            elif unit == "MICROSECOND":
-159                sql = f"{sql} * 86400000000.0"
-160            elif unit == "NANOSECOND":
-161                sql = f"{sql} * 8640000000000.0"
-162            else:
-163                self.unsupported("DATEDIFF unsupported for '{unit}'.")
-164
-165            return f"CAST({sql} AS INTEGER)"
+            
    143        def datediff_sql(self, expression: exp.DateDiff) -> str:
+144            unit = expression.args.get("unit")
+145            unit = unit.name.upper() if unit else "DAY"
+146
+147            sql = f"(JULIANDAY({self.sql(expression, 'this')}) - JULIANDAY({self.sql(expression, 'expression')}))"
+148
+149            if unit == "MONTH":
+150                sql = f"{sql} / 30.0"
+151            elif unit == "YEAR":
+152                sql = f"{sql} / 365.0"
+153            elif unit == "HOUR":
+154                sql = f"{sql} * 24.0"
+155            elif unit == "MINUTE":
+156                sql = f"{sql} * 1440.0"
+157            elif unit == "SECOND":
+158                sql = f"{sql} * 86400.0"
+159            elif unit == "MILLISECOND":
+160                sql = f"{sql} * 86400000.0"
+161            elif unit == "MICROSECOND":
+162                sql = f"{sql} * 86400000000.0"
+163            elif unit == "NANOSECOND":
+164                sql = f"{sql} * 8640000000000.0"
+165            else:
+166                self.unsupported("DATEDIFF unsupported for '{unit}'.")
+167
+168            return f"CAST({sql} AS INTEGER)"
 
    
 
 
@@ -794,23 +807,23 @@ Default: True
    - 
    168        def groupconcat_sql(self, expression: exp.GroupConcat) -> str:
-169            this = expression.this
-170            distinct = expression.find(exp.Distinct)
-171
-172            if distinct:
-173                this = distinct.expressions[0]
-174                distinct_sql = "DISTINCT "
-175            else:
-176                distinct_sql = ""
-177
-178            if isinstance(expression.this, exp.Order):
-179                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
-180                if expression.this.this and not distinct:
-181                    this = expression.this.this
-182
-183            separator = expression.args.get("separator")
-184            return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})"
+            
    171        def groupconcat_sql(self, expression: exp.GroupConcat) -> str:
+172            this = expression.this
+173            distinct = expression.find(exp.Distinct)
+174
+175            if distinct:
+176                this = distinct.expressions[0]
+177                distinct_sql = "DISTINCT "
+178            else:
+179                distinct_sql = ""
+180
+181            if isinstance(expression.this, exp.Order):
+182                self.unsupported("SQLite GROUP_CONCAT doesn't support ORDER BY.")
+183                if expression.this.this and not distinct:
+184                    this = expression.this.this
+185
+186            separator = expression.args.get("separator")
+187            return f"GROUP_CONCAT({distinct_sql}{self.format_args(this, separator)})"
 
    
 
 
@@ -828,11 +841,11 @@ Default: True
    - 
    186        def least_sql(self, expression: exp.Least) -> str:
-187            if len(expression.expressions) > 1:
-188                return rename_func("MIN")(self, expression)
-189
-190            return self.expressions(expression)
+            
    189        def least_sql(self, expression: exp.Least) -> str:
+190            if len(expression.expressions) > 1:
+191                return rename_func("MIN")(self, expression)
+192
+193            return self.expressions(expression)
 
    
 
 
@@ -850,15 +863,69 @@ Default: True
    - 
    192        def transaction_sql(self, expression: exp.Transaction) -> str:
-193            this = expression.this
-194            this = f" {this}" if this else ""
-195            return f"BEGIN{this} TRANSACTION"
+            
    195        def transaction_sql(self, expression: exp.Transaction) -> str:
+196            this = expression.this
+197            this = f" {this}" if this else ""
+198            return f"BEGIN{this} TRANSACTION"
 
    
 
 
     
 
+
    +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -962,6 +1029,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/starrocks.html b/docs/sqlglot/dialects/starrocks.html index a6c391d..aaf1d4d 100644 --- a/docs/sqlglot/dialects/starrocks.html +++ b/docs/sqlglot/dialects/starrocks.html @@ -42,6 +42,9 @@
  • StarRocks.Generator
    • @@ -181,6 +184,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + + +
    Inherited Members
    @@ -428,6 +489,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/tableau.html b/docs/sqlglot/dialects/tableau.html index b30f96d..a704093 100644 --- a/docs/sqlglot/dialects/tableau.html +++ b/docs/sqlglot/dialects/tableau.html @@ -42,6 +42,9 @@
  • count_sql
    • +
  • + can_identify +
    • @@ -175,6 +178,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -412,6 +473,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/teradata.html b/docs/sqlglot/dialects/teradata.html index 3d0f933..914329b 100644 --- a/docs/sqlglot/dialects/teradata.html +++ b/docs/sqlglot/dialects/teradata.html @@ -66,6 +66,9 @@
  • createable_sql
    • +
  • + can_identify +
    • @@ -530,6 +533,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -1087,6 +1148,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/trino.html b/docs/sqlglot/dialects/trino.html index ac73d6a..e3a35a4 100644 --- a/docs/sqlglot/dialects/trino.html +++ b/docs/sqlglot/dialects/trino.html @@ -36,6 +36,9 @@
  • Trino.Generator
    • @@ -125,6 +128,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + + +
    Inherited Members
    @@ -297,6 +358,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/dialects/tsql.html b/docs/sqlglot/dialects/tsql.html index ff7988f..ccac1f4 100644 --- a/docs/sqlglot/dialects/tsql.html +++ b/docs/sqlglot/dialects/tsql.html @@ -60,6 +60,9 @@
  • returnsproperty_sql
    • +
  • + can_identify +
    • @@ -1030,6 +1033,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + +
    Inherited Members
    @@ -1596,6 +1657,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/executor/python.html b/docs/sqlglot/executor/python.html index d54561d..796fce7 100644 --- a/docs/sqlglot/executor/python.html +++ b/docs/sqlglot/executor/python.html @@ -96,6 +96,9 @@
  • Python.Generator
    • @@ -1542,6 +1545,10 @@ +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    + +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    + + +
    Inherited Members
    @@ -1763,6 +1824,7 @@ Default: True
    pragma_sql
    lock_sql
    literal_sql
    +
    escape_str
    loaddata_sql
    null_sql
    boolean_sql
    diff --git a/docs/sqlglot/expressions.html b/docs/sqlglot/expressions.html index 82b8c21..138c7fc 100644 --- a/docs/sqlglot/expressions.html +++ b/docs/sqlglot/expressions.html @@ -826,6 +826,12 @@
    + +
  • + CopyGrantsProperty +
      +
    +
  • DataBlocksizeProperty @@ -5137,4033 +5143,4043 @@ SQL expressions, such as sqlglot.expressions.select< 1844 arg_types = {"this": True} 1845 1846 -1847class DataBlocksizeProperty(Property): -1848 arg_types = { -1849 "size": False, -1850 "units": False, -1851 "minimum": False, -1852 "maximum": False, -1853 "default": False, -1854 } -1855 -1856 -1857class DefinerProperty(Property): -1858 arg_types = {"this": True} +1847class CopyGrantsProperty(Property): +1848 arg_types = {} +1849 +1850 +1851class DataBlocksizeProperty(Property): +1852 arg_types = { +1853 "size": False, +1854 "units": False, +1855 "minimum": False, +1856 "maximum": False, +1857 "default": False, +1858 } 1859 1860 -1861class DistKeyProperty(Property): +1861class DefinerProperty(Property): 1862 arg_types = {"this": True} 1863 1864 -1865class DistStyleProperty(Property): +1865class DistKeyProperty(Property): 1866 arg_types = {"this": True} 1867 1868 -1869class EngineProperty(Property): +1869class DistStyleProperty(Property): 1870 arg_types = {"this": True} 1871 1872 -1873class ToTableProperty(Property): +1873class EngineProperty(Property): 1874 arg_types = {"this": True} 1875 1876 -1877class ExecuteAsProperty(Property): +1877class ToTableProperty(Property): 1878 arg_types = {"this": True} 1879 1880 -1881class ExternalProperty(Property): -1882 arg_types = {"this": False} +1881class ExecuteAsProperty(Property): +1882 arg_types = {"this": True} 1883 1884 -1885class FallbackProperty(Property): -1886 arg_types = {"no": True, "protection": False} +1885class ExternalProperty(Property): +1886 arg_types = {"this": False} 1887 1888 -1889class FileFormatProperty(Property): -1890 arg_types = {"this": True} +1889class FallbackProperty(Property): +1890 arg_types = {"no": True, "protection": False} 1891 1892 -1893class FreespaceProperty(Property): -1894 arg_types = {"this": True, "percent": False} +1893class FileFormatProperty(Property): +1894 arg_types = {"this": True} 1895 1896 -1897class InputOutputFormat(Expression): -1898 arg_types = {"input_format": False, "output_format": False} +1897class FreespaceProperty(Property): +1898 arg_types = {"this": True, "percent": False} 1899 1900 -1901class IsolatedLoadingProperty(Property): -1902 arg_types = { -1903 "no": True, -1904 "concurrent": True, -1905 "for_all": True, -1906 "for_insert": True, -1907 "for_none": True, -1908 } -1909 -1910 -1911class JournalProperty(Property): -1912 arg_types = { -1913 "no": False, -1914 "dual": False, -1915 "before": False, -1916 "local": False, -1917 "after": False, -1918 } -1919 -1920 -1921class LanguageProperty(Property): -1922 arg_types = {"this": True} +1901class InputOutputFormat(Expression): +1902 arg_types = {"input_format": False, "output_format": False} +1903 +1904 +1905class IsolatedLoadingProperty(Property): +1906 arg_types = { +1907 "no": True, +1908 "concurrent": True, +1909 "for_all": True, +1910 "for_insert": True, +1911 "for_none": True, +1912 } +1913 +1914 +1915class JournalProperty(Property): +1916 arg_types = { +1917 "no": False, +1918 "dual": False, +1919 "before": False, +1920 "local": False, +1921 "after": False, +1922 } 1923 1924 -1925class DictProperty(Property): -1926 arg_types = {"this": True, "kind": True, "settings": False} +1925class LanguageProperty(Property): +1926 arg_types = {"this": True} 1927 1928 -1929class DictSubProperty(Property): -1930 pass +1929class DictProperty(Property): +1930 arg_types = {"this": True, "kind": True, "settings": False} 1931 1932 -1933class DictRange(Property): -1934 arg_types = {"this": True, "min": True, "max": True} +1933class DictSubProperty(Property): +1934 pass 1935 1936 -1937# Clickhouse CREATE ... ON CLUSTER modifier -1938# https://clickhouse.com/docs/en/sql-reference/distributed-ddl -1939class OnCluster(Property): -1940 arg_types = {"this": True} -1941 -1942 -1943class LikeProperty(Property): -1944 arg_types = {"this": True, "expressions": False} +1937class DictRange(Property): +1938 arg_types = {"this": True, "min": True, "max": True} +1939 +1940 +1941# Clickhouse CREATE ... ON CLUSTER modifier +1942# https://clickhouse.com/docs/en/sql-reference/distributed-ddl +1943class OnCluster(Property): +1944 arg_types = {"this": True} 1945 1946 -1947class LocationProperty(Property): -1948 arg_types = {"this": True} +1947class LikeProperty(Property): +1948 arg_types = {"this": True, "expressions": False} 1949 1950 -1951class LockingProperty(Property): -1952 arg_types = { -1953 "this": False, -1954 "kind": True, -1955 "for_or_in": True, -1956 "lock_type": True, -1957 "override": False, -1958 } -1959 -1960 -1961class LogProperty(Property): -1962 arg_types = {"no": True} +1951class LocationProperty(Property): +1952 arg_types = {"this": True} +1953 +1954 +1955class LockingProperty(Property): +1956 arg_types = { +1957 "this": False, +1958 "kind": True, +1959 "for_or_in": True, +1960 "lock_type": True, +1961 "override": False, +1962 } 1963 1964 -1965class MaterializedProperty(Property): -1966 arg_types = {"this": False} +1965class LogProperty(Property): +1966 arg_types = {"no": True} 1967 1968 -1969class MergeBlockRatioProperty(Property): -1970 arg_types = {"this": False, "no": False, "default": False, "percent": False} +1969class MaterializedProperty(Property): +1970 arg_types = {"this": False} 1971 1972 -1973class NoPrimaryIndexProperty(Property): -1974 arg_types = {} +1973class MergeBlockRatioProperty(Property): +1974 arg_types = {"this": False, "no": False, "default": False, "percent": False} 1975 1976 -1977class OnCommitProperty(Property): -1978 arg_type = {"delete": False} +1977class NoPrimaryIndexProperty(Property): +1978 arg_types = {} 1979 1980 -1981class PartitionedByProperty(Property): -1982 arg_types = {"this": True} +1981class OnCommitProperty(Property): +1982 arg_type = {"delete": False} 1983 1984 -1985class ReturnsProperty(Property): -1986 arg_types = {"this": True, "is_table": False, "table": False} +1985class PartitionedByProperty(Property): +1986 arg_types = {"this": True} 1987 1988 -1989class RowFormatProperty(Property): -1990 arg_types = {"this": True} +1989class ReturnsProperty(Property): +1990 arg_types = {"this": True, "is_table": False, "table": False} 1991 1992 -1993class RowFormatDelimitedProperty(Property): -1994 # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml -1995 arg_types = { -1996 "fields": False, -1997 "escaped": False, -1998 "collection_items": False, -1999 "map_keys": False, -2000 "lines": False, -2001 "null": False, -2002 "serde": False, -2003 } -2004 -2005 -2006class RowFormatSerdeProperty(Property): -2007 arg_types = {"this": True} +1993class RowFormatProperty(Property): +1994 arg_types = {"this": True} +1995 +1996 +1997class RowFormatDelimitedProperty(Property): +1998 # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml +1999 arg_types = { +2000 "fields": False, +2001 "escaped": False, +2002 "collection_items": False, +2003 "map_keys": False, +2004 "lines": False, +2005 "null": False, +2006 "serde": False, +2007 } 2008 2009 -2010class SchemaCommentProperty(Property): +2010class RowFormatSerdeProperty(Property): 2011 arg_types = {"this": True} 2012 2013 -2014class SerdeProperties(Property): -2015 arg_types = {"expressions": True} +2014class SchemaCommentProperty(Property): +2015 arg_types = {"this": True} 2016 2017 -2018class SetProperty(Property): -2019 arg_types = {"multi": True} +2018class SerdeProperties(Property): +2019 arg_types = {"expressions": True} 2020 2021 -2022class SettingsProperty(Property): -2023 arg_types = {"expressions": True} +2022class SetProperty(Property): +2023 arg_types = {"multi": True} 2024 2025 -2026class SortKeyProperty(Property): -2027 arg_types = {"this": True, "compound": False} +2026class SettingsProperty(Property): +2027 arg_types = {"expressions": True} 2028 2029 -2030class SqlSecurityProperty(Property): -2031 arg_types = {"definer": True} +2030class SortKeyProperty(Property): +2031 arg_types = {"this": True, "compound": False} 2032 2033 -2034class StabilityProperty(Property): -2035 arg_types = {"this": True} +2034class SqlSecurityProperty(Property): +2035 arg_types = {"definer": True} 2036 2037 -2038class TemporaryProperty(Property): -2039 arg_types = {} +2038class StabilityProperty(Property): +2039 arg_types = {"this": True} 2040 2041 -2042class TransientProperty(Property): -2043 arg_types = {"this": False} +2042class TemporaryProperty(Property): +2043 arg_types = {} 2044 2045 -2046class VolatileProperty(Property): +2046class TransientProperty(Property): 2047 arg_types = {"this": False} 2048 2049 -2050class WithDataProperty(Property): -2051 arg_types = {"no": True, "statistics": False} +2050class VolatileProperty(Property): +2051 arg_types = {"this": False} 2052 2053 -2054class WithJournalTableProperty(Property): -2055 arg_types = {"this": True} +2054class WithDataProperty(Property): +2055 arg_types = {"no": True, "statistics": False} 2056 2057 -2058class Properties(Expression): -2059 arg_types = {"expressions": True} +2058class WithJournalTableProperty(Property): +2059 arg_types = {"this": True} 2060 -2061 NAME_TO_PROPERTY = { -2062 "ALGORITHM": AlgorithmProperty, -2063 "AUTO_INCREMENT": AutoIncrementProperty, -2064 "CHARACTER SET": CharacterSetProperty, -2065 "COLLATE": CollateProperty, -2066 "COMMENT": SchemaCommentProperty, -2067 "DEFINER": DefinerProperty, -2068 "DISTKEY": DistKeyProperty, -2069 "DISTSTYLE": DistStyleProperty, -2070 "ENGINE": EngineProperty, -2071 "EXECUTE AS": ExecuteAsProperty, -2072 "FORMAT": FileFormatProperty, -2073 "LANGUAGE": LanguageProperty, -2074 "LOCATION": LocationProperty, -2075 "PARTITIONED_BY": PartitionedByProperty, -2076 "RETURNS": ReturnsProperty, -2077 "ROW_FORMAT": RowFormatProperty, -2078 "SORTKEY": SortKeyProperty, -2079 } -2080 -2081 PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()} -2082 -2083 # CREATE property locations -2084 # Form: schema specified -2085 # create [POST_CREATE] -2086 # table a [POST_NAME] -2087 # (b int) [POST_SCHEMA] -2088 # with ([POST_WITH]) -2089 # index (b) [POST_INDEX] -2090 # -2091 # Form: alias selection -2092 # create [POST_CREATE] -2093 # table a [POST_NAME] -2094 # as [POST_ALIAS] (select * from b) [POST_EXPRESSION] -2095 # index (c) [POST_INDEX] -2096 class Location(AutoName): -2097 POST_CREATE = auto() -2098 POST_NAME = auto() -2099 POST_SCHEMA = auto() -2100 POST_WITH = auto() -2101 POST_ALIAS = auto() -2102 POST_EXPRESSION = auto() -2103 POST_INDEX = auto() -2104 UNSUPPORTED = auto() -2105 -2106 @classmethod -2107 def from_dict(cls, properties_dict: t.Dict) -> Properties: -2108 expressions = [] -2109 for key, value in properties_dict.items(): -2110 property_cls = cls.NAME_TO_PROPERTY.get(key.upper()) -2111 if property_cls: -2112 expressions.append(property_cls(this=convert(value))) -2113 else: -2114 expressions.append(Property(this=Literal.string(key), value=convert(value))) -2115 -2116 return cls(expressions=expressions) -2117 -2118 -2119class Qualify(Expression): -2120 pass +2061 +2062class Properties(Expression): +2063 arg_types = {"expressions": True} +2064 +2065 NAME_TO_PROPERTY = { +2066 "ALGORITHM": AlgorithmProperty, +2067 "AUTO_INCREMENT": AutoIncrementProperty, +2068 "CHARACTER SET": CharacterSetProperty, +2069 "COLLATE": CollateProperty, +2070 "COMMENT": SchemaCommentProperty, +2071 "DEFINER": DefinerProperty, +2072 "DISTKEY": DistKeyProperty, +2073 "DISTSTYLE": DistStyleProperty, +2074 "ENGINE": EngineProperty, +2075 "EXECUTE AS": ExecuteAsProperty, +2076 "FORMAT": FileFormatProperty, +2077 "LANGUAGE": LanguageProperty, +2078 "LOCATION": LocationProperty, +2079 "PARTITIONED_BY": PartitionedByProperty, +2080 "RETURNS": ReturnsProperty, +2081 "ROW_FORMAT": RowFormatProperty, +2082 "SORTKEY": SortKeyProperty, +2083 } +2084 +2085 PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()} +2086 +2087 # CREATE property locations +2088 # Form: schema specified +2089 # create [POST_CREATE] +2090 # table a [POST_NAME] +2091 # (b int) [POST_SCHEMA] +2092 # with ([POST_WITH]) +2093 # index (b) [POST_INDEX] +2094 # +2095 # Form: alias selection +2096 # create [POST_CREATE] +2097 # table a [POST_NAME] +2098 # as [POST_ALIAS] (select * from b) [POST_EXPRESSION] +2099 # index (c) [POST_INDEX] +2100 class Location(AutoName): +2101 POST_CREATE = auto() +2102 POST_NAME = auto() +2103 POST_SCHEMA = auto() +2104 POST_WITH = auto() +2105 POST_ALIAS = auto() +2106 POST_EXPRESSION = auto() +2107 POST_INDEX = auto() +2108 UNSUPPORTED = auto() +2109 +2110 @classmethod +2111 def from_dict(cls, properties_dict: t.Dict) -> Properties: +2112 expressions = [] +2113 for key, value in properties_dict.items(): +2114 property_cls = cls.NAME_TO_PROPERTY.get(key.upper()) +2115 if property_cls: +2116 expressions.append(property_cls(this=convert(value))) +2117 else: +2118 expressions.append(Property(this=Literal.string(key), value=convert(value))) +2119 +2120 return cls(expressions=expressions) 2121 2122 -2123# https://www.ibm.com/docs/en/ias?topic=procedures-return-statement-in-sql -2124class Return(Expression): -2125 pass +2123class Qualify(Expression): +2124 pass +2125 2126 -2127 -2128class Reference(Expression): -2129 arg_types = {"this": True, "expressions": False, "options": False} +2127# https://www.ibm.com/docs/en/ias?topic=procedures-return-statement-in-sql +2128class Return(Expression): +2129 pass 2130 2131 -2132class Tuple(Expression): -2133 arg_types = {"expressions": False} +2132class Reference(Expression): +2133 arg_types = {"this": True, "expressions": False, "options": False} 2134 -2135 def isin( -2136 self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts -2137 ) -> In: -2138 return In( -2139 this=_maybe_copy(self, copy), -2140 expressions=[convert(e, copy=copy) for e in expressions], -2141 query=maybe_parse(query, copy=copy, **opts) if query else None, -2142 ) -2143 -2144 -2145class Subqueryable(Unionable): -2146 def subquery(self, alias: t.Optional[ExpOrStr] = None, copy: bool = True) -> Subquery: -2147 """ -2148 Convert this expression to an aliased expression that can be used as a Subquery. -2149 -2150 Example: -2151 >>> subquery = Select().select("x").from_("tbl").subquery() -2152 >>> Select().select("x").from_(subquery).sql() -2153 'SELECT x FROM (SELECT x FROM tbl)' -2154 -2155 Args: -2156 alias (str | Identifier): an optional alias for the subquery -2157 copy (bool): if `False`, modify this expression instance in-place. +2135 +2136class Tuple(Expression): +2137 arg_types = {"expressions": False} +2138 +2139 def isin( +2140 self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts +2141 ) -> In: +2142 return In( +2143 this=_maybe_copy(self, copy), +2144 expressions=[convert(e, copy=copy) for e in expressions], +2145 query=maybe_parse(query, copy=copy, **opts) if query else None, +2146 ) +2147 +2148 +2149class Subqueryable(Unionable): +2150 def subquery(self, alias: t.Optional[ExpOrStr] = None, copy: bool = True) -> Subquery: +2151 """ +2152 Convert this expression to an aliased expression that can be used as a Subquery. +2153 +2154 Example: +2155 >>> subquery = Select().select("x").from_("tbl").subquery() +2156 >>> Select().select("x").from_(subquery).sql() +2157 'SELECT x FROM (SELECT x FROM tbl)' 2158 -2159 Returns: -2160 Alias: the subquery -2161 """ -2162 instance = _maybe_copy(self, copy) -2163 if not isinstance(alias, Expression): -2164 alias = TableAlias(this=to_identifier(alias)) if alias else None -2165 -2166 return Subquery(this=instance, alias=alias) -2167 -2168 def limit( -2169 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts -2170 ) -> Select: -2171 raise NotImplementedError -2172 -2173 @property -2174 def ctes(self): -2175 with_ = self.args.get("with") -2176 if not with_: -2177 return [] -2178 return with_.expressions -2179 -2180 @property -2181 def selects(self): -2182 raise NotImplementedError("Subqueryable objects must implement `selects`") +2159 Args: +2160 alias (str | Identifier): an optional alias for the subquery +2161 copy (bool): if `False`, modify this expression instance in-place. +2162 +2163 Returns: +2164 Alias: the subquery +2165 """ +2166 instance = _maybe_copy(self, copy) +2167 if not isinstance(alias, Expression): +2168 alias = TableAlias(this=to_identifier(alias)) if alias else None +2169 +2170 return Subquery(this=instance, alias=alias) +2171 +2172 def limit( +2173 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts +2174 ) -> Select: +2175 raise NotImplementedError +2176 +2177 @property +2178 def ctes(self): +2179 with_ = self.args.get("with") +2180 if not with_: +2181 return [] +2182 return with_.expressions 2183 2184 @property -2185 def named_selects(self): -2186 raise NotImplementedError("Subqueryable objects must implement `named_selects`") +2185 def selects(self): +2186 raise NotImplementedError("Subqueryable objects must implement `selects`") 2187 -2188 def with_( -2189 self, -2190 alias: ExpOrStr, -2191 as_: ExpOrStr, -2192 recursive: t.Optional[bool] = None, -2193 append: bool = True, -2194 dialect: DialectType = None, -2195 copy: bool = True, -2196 **opts, -2197 ) -> Subqueryable: -2198 """ -2199 Append to or set the common table expressions. -2200 -2201 Example: -2202 >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql() -2203 'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2' +2188 @property +2189 def named_selects(self): +2190 raise NotImplementedError("Subqueryable objects must implement `named_selects`") +2191 +2192 def with_( +2193 self, +2194 alias: ExpOrStr, +2195 as_: ExpOrStr, +2196 recursive: t.Optional[bool] = None, +2197 append: bool = True, +2198 dialect: DialectType = None, +2199 copy: bool = True, +2200 **opts, +2201 ) -> Subqueryable: +2202 """ +2203 Append to or set the common table expressions. 2204 -2205 Args: -2206 alias: the SQL code string to parse as the table name. -2207 If an `Expression` instance is passed, this is used as-is. -2208 as_: the SQL code string to parse as the table expression. -2209 If an `Expression` instance is passed, it will be used as-is. -2210 recursive: set the RECURSIVE part of the expression. Defaults to `False`. -2211 append: if `True`, add to any existing expressions. -2212 Otherwise, this resets the expressions. -2213 dialect: the dialect used to parse the input expression. -2214 copy: if `False`, modify this expression instance in-place. -2215 opts: other options to use to parse the input expressions. -2216 -2217 Returns: -2218 The modified expression. -2219 """ -2220 return _apply_cte_builder( -2221 self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts -2222 ) -2223 -2224 -2225QUERY_MODIFIERS = { -2226 "match": False, -2227 "laterals": False, -2228 "joins": False, -2229 "pivots": False, -2230 "where": False, -2231 "group": False, -2232 "having": False, -2233 "qualify": False, -2234 "windows": False, -2235 "distribute": False, -2236 "sort": False, -2237 "cluster": False, -2238 "order": False, -2239 "limit": False, -2240 "offset": False, -2241 "locks": False, -2242 "sample": False, -2243 "settings": False, -2244 "format": False, -2245} -2246 -2247 -2248class Table(Expression): -2249 arg_types = { -2250 "this": True, -2251 "alias": False, -2252 "db": False, -2253 "catalog": False, -2254 "laterals": False, -2255 "joins": False, -2256 "pivots": False, -2257 "hints": False, -2258 "system_time": False, -2259 } -2260 -2261 @property -2262 def db(self) -> str: -2263 return self.text("db") +2205 Example: +2206 >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql() +2207 'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2' +2208 +2209 Args: +2210 alias: the SQL code string to parse as the table name. +2211 If an `Expression` instance is passed, this is used as-is. +2212 as_: the SQL code string to parse as the table expression. +2213 If an `Expression` instance is passed, it will be used as-is. +2214 recursive: set the RECURSIVE part of the expression. Defaults to `False`. +2215 append: if `True`, add to any existing expressions. +2216 Otherwise, this resets the expressions. +2217 dialect: the dialect used to parse the input expression. +2218 copy: if `False`, modify this expression instance in-place. +2219 opts: other options to use to parse the input expressions. +2220 +2221 Returns: +2222 The modified expression. +2223 """ +2224 return _apply_cte_builder( +2225 self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts +2226 ) +2227 +2228 +2229QUERY_MODIFIERS = { +2230 "match": False, +2231 "laterals": False, +2232 "joins": False, +2233 "pivots": False, +2234 "where": False, +2235 "group": False, +2236 "having": False, +2237 "qualify": False, +2238 "windows": False, +2239 "distribute": False, +2240 "sort": False, +2241 "cluster": False, +2242 "order": False, +2243 "limit": False, +2244 "offset": False, +2245 "locks": False, +2246 "sample": False, +2247 "settings": False, +2248 "format": False, +2249} +2250 +2251 +2252class Table(Expression): +2253 arg_types = { +2254 "this": True, +2255 "alias": False, +2256 "db": False, +2257 "catalog": False, +2258 "laterals": False, +2259 "joins": False, +2260 "pivots": False, +2261 "hints": False, +2262 "system_time": False, +2263 } 2264 2265 @property -2266 def catalog(self) -> str: -2267 return self.text("catalog") +2266 def db(self) -> str: +2267 return self.text("db") 2268 2269 @property -2270 def parts(self) -> t.List[Identifier]: -2271 """Return the parts of a table in order catalog, db, table.""" -2272 return [ -2273 t.cast(Identifier, self.args[part]) -2274 for part in ("catalog", "db", "this") -2275 if self.args.get(part) -2276 ] -2277 -2278 -2279# See the TSQL "Querying data in a system-versioned temporal table" page -2280class SystemTime(Expression): -2281 arg_types = { -2282 "this": False, -2283 "expression": False, -2284 "kind": True, -2285 } -2286 -2287 -2288class Union(Subqueryable): -2289 arg_types = { -2290 "with": False, -2291 "this": True, -2292 "expression": True, -2293 "distinct": False, -2294 **QUERY_MODIFIERS, -2295 } -2296 -2297 def limit( -2298 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts -2299 ) -> Select: -2300 """ -2301 Set the LIMIT expression. -2302 -2303 Example: -2304 >>> select("1").union(select("1")).limit(1).sql() -2305 'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1' +2270 def catalog(self) -> str: +2271 return self.text("catalog") +2272 +2273 @property +2274 def parts(self) -> t.List[Identifier]: +2275 """Return the parts of a table in order catalog, db, table.""" +2276 return [ +2277 t.cast(Identifier, self.args[part]) +2278 for part in ("catalog", "db", "this") +2279 if self.args.get(part) +2280 ] +2281 +2282 +2283# See the TSQL "Querying data in a system-versioned temporal table" page +2284class SystemTime(Expression): +2285 arg_types = { +2286 "this": False, +2287 "expression": False, +2288 "kind": True, +2289 } +2290 +2291 +2292class Union(Subqueryable): +2293 arg_types = { +2294 "with": False, +2295 "this": True, +2296 "expression": True, +2297 "distinct": False, +2298 **QUERY_MODIFIERS, +2299 } +2300 +2301 def limit( +2302 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts +2303 ) -> Select: +2304 """ +2305 Set the LIMIT expression. 2306 -2307 Args: -2308 expression: the SQL code string to parse. -2309 This can also be an integer. -2310 If a `Limit` instance is passed, this is used as-is. -2311 If another `Expression` instance is passed, it will be wrapped in a `Limit`. -2312 dialect: the dialect used to parse the input expression. -2313 copy: if `False`, modify this expression instance in-place. -2314 opts: other options to use to parse the input expressions. -2315 -2316 Returns: -2317 The limited subqueryable. -2318 """ -2319 return ( -2320 select("*") -2321 .from_(self.subquery(alias="_l_0", copy=copy)) -2322 .limit(expression, dialect=dialect, copy=False, **opts) -2323 ) -2324 -2325 def select( -2326 self, -2327 *expressions: t.Optional[ExpOrStr], -2328 append: bool = True, -2329 dialect: DialectType = None, -2330 copy: bool = True, -2331 **opts, -2332 ) -> Union: -2333 """Append to or set the SELECT of the union recursively. -2334 -2335 Example: -2336 >>> from sqlglot import parse_one -2337 >>> parse_one("select a from x union select a from y union select a from z").select("b").sql() -2338 'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z' -2339 -2340 Args: -2341 *expressions: the SQL code strings to parse. -2342 If an `Expression` instance is passed, it will be used as-is. -2343 append: if `True`, add to any existing expressions. -2344 Otherwise, this resets the expressions. -2345 dialect: the dialect used to parse the input expressions. -2346 copy: if `False`, modify this expression instance in-place. -2347 opts: other options to use to parse the input expressions. -2348 -2349 Returns: -2350 Union: the modified expression. -2351 """ -2352 this = self.copy() if copy else self -2353 this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts) -2354 this.expression.unnest().select( -2355 *expressions, append=append, dialect=dialect, copy=False, **opts -2356 ) -2357 return this -2358 -2359 @property -2360 def named_selects(self): -2361 return self.this.unnest().named_selects +2307 Example: +2308 >>> select("1").union(select("1")).limit(1).sql() +2309 'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1' +2310 +2311 Args: +2312 expression: the SQL code string to parse. +2313 This can also be an integer. +2314 If a `Limit` instance is passed, this is used as-is. +2315 If another `Expression` instance is passed, it will be wrapped in a `Limit`. +2316 dialect: the dialect used to parse the input expression. +2317 copy: if `False`, modify this expression instance in-place. +2318 opts: other options to use to parse the input expressions. +2319 +2320 Returns: +2321 The limited subqueryable. +2322 """ +2323 return ( +2324 select("*") +2325 .from_(self.subquery(alias="_l_0", copy=copy)) +2326 .limit(expression, dialect=dialect, copy=False, **opts) +2327 ) +2328 +2329 def select( +2330 self, +2331 *expressions: t.Optional[ExpOrStr], +2332 append: bool = True, +2333 dialect: DialectType = None, +2334 copy: bool = True, +2335 **opts, +2336 ) -> Union: +2337 """Append to or set the SELECT of the union recursively. +2338 +2339 Example: +2340 >>> from sqlglot import parse_one +2341 >>> parse_one("select a from x union select a from y union select a from z").select("b").sql() +2342 'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z' +2343 +2344 Args: +2345 *expressions: the SQL code strings to parse. +2346 If an `Expression` instance is passed, it will be used as-is. +2347 append: if `True`, add to any existing expressions. +2348 Otherwise, this resets the expressions. +2349 dialect: the dialect used to parse the input expressions. +2350 copy: if `False`, modify this expression instance in-place. +2351 opts: other options to use to parse the input expressions. +2352 +2353 Returns: +2354 Union: the modified expression. +2355 """ +2356 this = self.copy() if copy else self +2357 this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts) +2358 this.expression.unnest().select( +2359 *expressions, append=append, dialect=dialect, copy=False, **opts +2360 ) +2361 return this 2362 2363 @property -2364 def is_star(self) -> bool: -2365 return self.this.is_star or self.expression.is_star +2364 def named_selects(self): +2365 return self.this.unnest().named_selects 2366 2367 @property -2368 def selects(self): -2369 return self.this.unnest().selects +2368 def is_star(self) -> bool: +2369 return self.this.is_star or self.expression.is_star 2370 2371 @property -2372 def left(self): -2373 return self.this +2372 def selects(self): +2373 return self.this.unnest().selects 2374 2375 @property -2376 def right(self): -2377 return self.expression +2376 def left(self): +2377 return self.this 2378 -2379 -2380class Except(Union): -2381 pass +2379 @property +2380 def right(self): +2381 return self.expression 2382 2383 -2384class Intersect(Union): +2384class Except(Union): 2385 pass 2386 2387 -2388class Unnest(UDTF): -2389 arg_types = { -2390 "expressions": True, -2391 "ordinality": False, -2392 "alias": False, -2393 "offset": False, -2394 } -2395 -2396 -2397class Update(Expression): -2398 arg_types = { -2399 "with": False, -2400 "this": False, -2401 "expressions": True, -2402 "from": False, -2403 "where": False, -2404 "returning": False, -2405 } -2406 -2407 -2408class Values(UDTF): -2409 arg_types = { -2410 "expressions": True, -2411 "ordinality": False, -2412 "alias": False, -2413 } -2414 -2415 -2416class Var(Expression): -2417 pass +2388class Intersect(Union): +2389 pass +2390 +2391 +2392class Unnest(UDTF): +2393 arg_types = { +2394 "expressions": True, +2395 "ordinality": False, +2396 "alias": False, +2397 "offset": False, +2398 } +2399 +2400 +2401class Update(Expression): +2402 arg_types = { +2403 "with": False, +2404 "this": False, +2405 "expressions": True, +2406 "from": False, +2407 "where": False, +2408 "returning": False, +2409 } +2410 +2411 +2412class Values(UDTF): +2413 arg_types = { +2414 "expressions": True, +2415 "ordinality": False, +2416 "alias": False, +2417 } 2418 2419 -2420class Schema(Expression): -2421 arg_types = {"this": False, "expressions": False} +2420class Var(Expression): +2421 pass 2422 2423 -2424# https://dev.mysql.com/doc/refman/8.0/en/select.html -2425# https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/SELECT.html -2426class Lock(Expression): -2427 arg_types = {"update": True, "expressions": False, "wait": False} -2428 -2429 -2430class Select(Subqueryable): -2431 arg_types = { -2432 "with": False, -2433 "kind": False, -2434 "expressions": False, -2435 "hint": False, -2436 "distinct": False, -2437 "struct": False, # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#return_query_results_as_a_value_table -2438 "value": False, -2439 "into": False, -2440 "from": False, -2441 **QUERY_MODIFIERS, -2442 } -2443 -2444 def from_( -2445 self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts -2446 ) -> Select: -2447 """ -2448 Set the FROM expression. -2449 -2450 Example: -2451 >>> Select().from_("tbl").select("x").sql() -2452 'SELECT x FROM tbl' -2453 -2454 Args: -2455 expression : the SQL code strings to parse. -2456 If a `From` instance is passed, this is used as-is. -2457 If another `Expression` instance is passed, it will be wrapped in a `From`. -2458 dialect: the dialect used to parse the input expression. -2459 copy: if `False`, modify this expression instance in-place. -2460 opts: other options to use to parse the input expressions. -2461 -2462 Returns: -2463 The modified Select expression. -2464 """ -2465 return _apply_builder( -2466 expression=expression, -2467 instance=self, -2468 arg="from", -2469 into=From, -2470 prefix="FROM", -2471 dialect=dialect, -2472 copy=copy, -2473 **opts, -2474 ) -2475 -2476 def group_by( -2477 self, -2478 *expressions: t.Optional[ExpOrStr], -2479 append: bool = True, -2480 dialect: DialectType = None, -2481 copy: bool = True, -2482 **opts, -2483 ) -> Select: -2484 """ -2485 Set the GROUP BY expression. -2486 -2487 Example: -2488 >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql() -2489 'SELECT x, COUNT(1) FROM tbl GROUP BY x' -2490 -2491 Args: -2492 *expressions: the SQL code strings to parse. -2493 If a `Group` instance is passed, this is used as-is. -2494 If another `Expression` instance is passed, it will be wrapped in a `Group`. -2495 If nothing is passed in then a group by is not applied to the expression -2496 append: if `True`, add to any existing expressions. -2497 Otherwise, this flattens all the `Group` expression into a single expression. -2498 dialect: the dialect used to parse the input expression. -2499 copy: if `False`, modify this expression instance in-place. -2500 opts: other options to use to parse the input expressions. -2501 -2502 Returns: -2503 The modified Select expression. -2504 """ -2505 if not expressions: -2506 return self if not copy else self.copy() -2507 -2508 return _apply_child_list_builder( -2509 *expressions, -2510 instance=self, -2511 arg="group", -2512 append=append, -2513 copy=copy, -2514 prefix="GROUP BY", -2515 into=Group, -2516 dialect=dialect, -2517 **opts, -2518 ) -2519 -2520 def order_by( -2521 self, -2522 *expressions: t.Optional[ExpOrStr], -2523 append: bool = True, -2524 dialect: DialectType = None, -2525 copy: bool = True, -2526 **opts, -2527 ) -> Select: -2528 """ -2529 Set the ORDER BY expression. -2530 -2531 Example: -2532 >>> Select().from_("tbl").select("x").order_by("x DESC").sql() -2533 'SELECT x FROM tbl ORDER BY x DESC' -2534 -2535 Args: -2536 *expressions: the SQL code strings to parse. -2537 If a `Group` instance is passed, this is used as-is. -2538 If another `Expression` instance is passed, it will be wrapped in a `Order`. -2539 append: if `True`, add to any existing expressions. -2540 Otherwise, this flattens all the `Order` expression into a single expression. -2541 dialect: the dialect used to parse the input expression. -2542 copy: if `False`, modify this expression instance in-place. -2543 opts: other options to use to parse the input expressions. -2544 -2545 Returns: -2546 The modified Select expression. -2547 """ -2548 return _apply_child_list_builder( -2549 *expressions, -2550 instance=self, -2551 arg="order", -2552 append=append, -2553 copy=copy, -2554 prefix="ORDER BY", -2555 into=Order, -2556 dialect=dialect, -2557 **opts, -2558 ) -2559 -2560 def sort_by( -2561 self, -2562 *expressions: t.Optional[ExpOrStr], -2563 append: bool = True, -2564 dialect: DialectType = None, -2565 copy: bool = True, -2566 **opts, -2567 ) -> Select: -2568 """ -2569 Set the SORT BY expression. -2570 -2571 Example: -2572 >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive") -2573 'SELECT x FROM tbl SORT BY x DESC' -2574 -2575 Args: -2576 *expressions: the SQL code strings to parse. -2577 If a `Group` instance is passed, this is used as-is. -2578 If another `Expression` instance is passed, it will be wrapped in a `SORT`. -2579 append: if `True`, add to any existing expressions. -2580 Otherwise, this flattens all the `Order` expression into a single expression. -2581 dialect: the dialect used to parse the input expression. -2582 copy: if `False`, modify this expression instance in-place. -2583 opts: other options to use to parse the input expressions. -2584 -2585 Returns: -2586 The modified Select expression. -2587 """ -2588 return _apply_child_list_builder( -2589 *expressions, -2590 instance=self, -2591 arg="sort", -2592 append=append, -2593 copy=copy, -2594 prefix="SORT BY", -2595 into=Sort, -2596 dialect=dialect, -2597 **opts, -2598 ) -2599 -2600 def cluster_by( -2601 self, -2602 *expressions: t.Optional[ExpOrStr], -2603 append: bool = True, -2604 dialect: DialectType = None, -2605 copy: bool = True, -2606 **opts, -2607 ) -> Select: -2608 """ -2609 Set the CLUSTER BY expression. -2610 -2611 Example: -2612 >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive") -2613 'SELECT x FROM tbl CLUSTER BY x DESC' -2614 -2615 Args: -2616 *expressions: the SQL code strings to parse. -2617 If a `Group` instance is passed, this is used as-is. -2618 If another `Expression` instance is passed, it will be wrapped in a `Cluster`. -2619 append: if `True`, add to any existing expressions. -2620 Otherwise, this flattens all the `Order` expression into a single expression. -2621 dialect: the dialect used to parse the input expression. -2622 copy: if `False`, modify this expression instance in-place. -2623 opts: other options to use to parse the input expressions. -2624 -2625 Returns: -2626 The modified Select expression. -2627 """ -2628 return _apply_child_list_builder( -2629 *expressions, -2630 instance=self, -2631 arg="cluster", -2632 append=append, -2633 copy=copy, -2634 prefix="CLUSTER BY", -2635 into=Cluster, -2636 dialect=dialect, -2637 **opts, -2638 ) -2639 -2640 def limit( -2641 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts -2642 ) -> Select: -2643 """ -2644 Set the LIMIT expression. -2645 -2646 Example: -2647 >>> Select().from_("tbl").select("x").limit(10).sql() -2648 'SELECT x FROM tbl LIMIT 10' -2649 -2650 Args: -2651 expression: the SQL code string to parse. -2652 This can also be an integer. -2653 If a `Limit` instance is passed, this is used as-is. -2654 If another `Expression` instance is passed, it will be wrapped in a `Limit`. -2655 dialect: the dialect used to parse the input expression. -2656 copy: if `False`, modify this expression instance in-place. -2657 opts: other options to use to parse the input expressions. -2658 -2659 Returns: -2660 Select: the modified expression. -2661 """ -2662 return _apply_builder( -2663 expression=expression, -2664 instance=self, -2665 arg="limit", -2666 into=Limit, -2667 prefix="LIMIT", -2668 dialect=dialect, -2669 copy=copy, -2670 **opts, -2671 ) -2672 -2673 def offset( -2674 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts -2675 ) -> Select: -2676 """ -2677 Set the OFFSET expression. -2678 -2679 Example: -2680 >>> Select().from_("tbl").select("x").offset(10).sql() -2681 'SELECT x FROM tbl OFFSET 10' -2682 -2683 Args: -2684 expression: the SQL code string to parse. -2685 This can also be an integer. -2686 If a `Offset` instance is passed, this is used as-is. -2687 If another `Expression` instance is passed, it will be wrapped in a `Offset`. -2688 dialect: the dialect used to parse the input expression. -2689 copy: if `False`, modify this expression instance in-place. -2690 opts: other options to use to parse the input expressions. -2691 -2692 Returns: -2693 The modified Select expression. -2694 """ -2695 return _apply_builder( -2696 expression=expression, -2697 instance=self, -2698 arg="offset", -2699 into=Offset, -2700 prefix="OFFSET", -2701 dialect=dialect, -2702 copy=copy, -2703 **opts, -2704 ) -2705 -2706 def select( -2707 self, -2708 *expressions: t.Optional[ExpOrStr], -2709 append: bool = True, -2710 dialect: DialectType = None, -2711 copy: bool = True, -2712 **opts, -2713 ) -> Select: -2714 """ -2715 Append to or set the SELECT expressions. -2716 -2717 Example: -2718 >>> Select().select("x", "y").sql() -2719 'SELECT x, y' -2720 -2721 Args: -2722 *expressions: the SQL code strings to parse. -2723 If an `Expression` instance is passed, it will be used as-is. -2724 append: if `True`, add to any existing expressions. -2725 Otherwise, this resets the expressions. -2726 dialect: the dialect used to parse the input expressions. -2727 copy: if `False`, modify this expression instance in-place. -2728 opts: other options to use to parse the input expressions. -2729 -2730 Returns: -2731 The modified Select expression. -2732 """ -2733 return _apply_list_builder( -2734 *expressions, -2735 instance=self, -2736 arg="expressions", -2737 append=append, -2738 dialect=dialect, -2739 copy=copy, -2740 **opts, -2741 ) -2742 -2743 def lateral( -2744 self, -2745 *expressions: t.Optional[ExpOrStr], -2746 append: bool = True, -2747 dialect: DialectType = None, -2748 copy: bool = True, -2749 **opts, -2750 ) -> Select: -2751 """ -2752 Append to or set the LATERAL expressions. -2753 -2754 Example: -2755 >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql() -2756 'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z' -2757 -2758 Args: -2759 *expressions: the SQL code strings to parse. -2760 If an `Expression` instance is passed, it will be used as-is. -2761 append: if `True`, add to any existing expressions. -2762 Otherwise, this resets the expressions. -2763 dialect: the dialect used to parse the input expressions. -2764 copy: if `False`, modify this expression instance in-place. -2765 opts: other options to use to parse the input expressions. -2766 -2767 Returns: -2768 The modified Select expression. -2769 """ -2770 return _apply_list_builder( -2771 *expressions, -2772 instance=self, -2773 arg="laterals", -2774 append=append, -2775 into=Lateral, -2776 prefix="LATERAL VIEW", -2777 dialect=dialect, -2778 copy=copy, -2779 **opts, -2780 ) -2781 -2782 def join( -2783 self, -2784 expression: ExpOrStr, -2785 on: t.Optional[ExpOrStr] = None, -2786 using: t.Optional[ExpOrStr | t.List[ExpOrStr]] = None, -2787 append: bool = True, -2788 join_type: t.Optional[str] = None, -2789 join_alias: t.Optional[Identifier | str] = None, -2790 dialect: DialectType = None, -2791 copy: bool = True, -2792 **opts, -2793 ) -> Select: -2794 """ -2795 Append to or set the JOIN expressions. -2796 -2797 Example: -2798 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql() -2799 'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y' -2800 -2801 >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql() -2802 'SELECT 1 FROM a JOIN b USING (x, y, z)' -2803 -2804 Use `join_type` to change the type of join: +2424class Schema(Expression): +2425 arg_types = {"this": False, "expressions": False} +2426 +2427 +2428# https://dev.mysql.com/doc/refman/8.0/en/select.html +2429# https://docs.oracle.com/en/database/oracle/oracle-database/19/sqlrf/SELECT.html +2430class Lock(Expression): +2431 arg_types = {"update": True, "expressions": False, "wait": False} +2432 +2433 +2434class Select(Subqueryable): +2435 arg_types = { +2436 "with": False, +2437 "kind": False, +2438 "expressions": False, +2439 "hint": False, +2440 "distinct": False, +2441 "into": False, +2442 "from": False, +2443 **QUERY_MODIFIERS, +2444 } +2445 +2446 def from_( +2447 self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts +2448 ) -> Select: +2449 """ +2450 Set the FROM expression. +2451 +2452 Example: +2453 >>> Select().from_("tbl").select("x").sql() +2454 'SELECT x FROM tbl' +2455 +2456 Args: +2457 expression : the SQL code strings to parse. +2458 If a `From` instance is passed, this is used as-is. +2459 If another `Expression` instance is passed, it will be wrapped in a `From`. +2460 dialect: the dialect used to parse the input expression. +2461 copy: if `False`, modify this expression instance in-place. +2462 opts: other options to use to parse the input expressions. +2463 +2464 Returns: +2465 The modified Select expression. +2466 """ +2467 return _apply_builder( +2468 expression=expression, +2469 instance=self, +2470 arg="from", +2471 into=From, +2472 prefix="FROM", +2473 dialect=dialect, +2474 copy=copy, +2475 **opts, +2476 ) +2477 +2478 def group_by( +2479 self, +2480 *expressions: t.Optional[ExpOrStr], +2481 append: bool = True, +2482 dialect: DialectType = None, +2483 copy: bool = True, +2484 **opts, +2485 ) -> Select: +2486 """ +2487 Set the GROUP BY expression. +2488 +2489 Example: +2490 >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql() +2491 'SELECT x, COUNT(1) FROM tbl GROUP BY x' +2492 +2493 Args: +2494 *expressions: the SQL code strings to parse. +2495 If a `Group` instance is passed, this is used as-is. +2496 If another `Expression` instance is passed, it will be wrapped in a `Group`. +2497 If nothing is passed in then a group by is not applied to the expression +2498 append: if `True`, add to any existing expressions. +2499 Otherwise, this flattens all the `Group` expression into a single expression. +2500 dialect: the dialect used to parse the input expression. +2501 copy: if `False`, modify this expression instance in-place. +2502 opts: other options to use to parse the input expressions. +2503 +2504 Returns: +2505 The modified Select expression. +2506 """ +2507 if not expressions: +2508 return self if not copy else self.copy() +2509 +2510 return _apply_child_list_builder( +2511 *expressions, +2512 instance=self, +2513 arg="group", +2514 append=append, +2515 copy=copy, +2516 prefix="GROUP BY", +2517 into=Group, +2518 dialect=dialect, +2519 **opts, +2520 ) +2521 +2522 def order_by( +2523 self, +2524 *expressions: t.Optional[ExpOrStr], +2525 append: bool = True, +2526 dialect: DialectType = None, +2527 copy: bool = True, +2528 **opts, +2529 ) -> Select: +2530 """ +2531 Set the ORDER BY expression. +2532 +2533 Example: +2534 >>> Select().from_("tbl").select("x").order_by("x DESC").sql() +2535 'SELECT x FROM tbl ORDER BY x DESC' +2536 +2537 Args: +2538 *expressions: the SQL code strings to parse. +2539 If a `Group` instance is passed, this is used as-is. +2540 If another `Expression` instance is passed, it will be wrapped in a `Order`. +2541 append: if `True`, add to any existing expressions. +2542 Otherwise, this flattens all the `Order` expression into a single expression. +2543 dialect: the dialect used to parse the input expression. +2544 copy: if `False`, modify this expression instance in-place. +2545 opts: other options to use to parse the input expressions. +2546 +2547 Returns: +2548 The modified Select expression. +2549 """ +2550 return _apply_child_list_builder( +2551 *expressions, +2552 instance=self, +2553 arg="order", +2554 append=append, +2555 copy=copy, +2556 prefix="ORDER BY", +2557 into=Order, +2558 dialect=dialect, +2559 **opts, +2560 ) +2561 +2562 def sort_by( +2563 self, +2564 *expressions: t.Optional[ExpOrStr], +2565 append: bool = True, +2566 dialect: DialectType = None, +2567 copy: bool = True, +2568 **opts, +2569 ) -> Select: +2570 """ +2571 Set the SORT BY expression. +2572 +2573 Example: +2574 >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive") +2575 'SELECT x FROM tbl SORT BY x DESC' +2576 +2577 Args: +2578 *expressions: the SQL code strings to parse. +2579 If a `Group` instance is passed, this is used as-is. +2580 If another `Expression` instance is passed, it will be wrapped in a `SORT`. +2581 append: if `True`, add to any existing expressions. +2582 Otherwise, this flattens all the `Order` expression into a single expression. +2583 dialect: the dialect used to parse the input expression. +2584 copy: if `False`, modify this expression instance in-place. +2585 opts: other options to use to parse the input expressions. +2586 +2587 Returns: +2588 The modified Select expression. +2589 """ +2590 return _apply_child_list_builder( +2591 *expressions, +2592 instance=self, +2593 arg="sort", +2594 append=append, +2595 copy=copy, +2596 prefix="SORT BY", +2597 into=Sort, +2598 dialect=dialect, +2599 **opts, +2600 ) +2601 +2602 def cluster_by( +2603 self, +2604 *expressions: t.Optional[ExpOrStr], +2605 append: bool = True, +2606 dialect: DialectType = None, +2607 copy: bool = True, +2608 **opts, +2609 ) -> Select: +2610 """ +2611 Set the CLUSTER BY expression. +2612 +2613 Example: +2614 >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive") +2615 'SELECT x FROM tbl CLUSTER BY x DESC' +2616 +2617 Args: +2618 *expressions: the SQL code strings to parse. +2619 If a `Group` instance is passed, this is used as-is. +2620 If another `Expression` instance is passed, it will be wrapped in a `Cluster`. +2621 append: if `True`, add to any existing expressions. +2622 Otherwise, this flattens all the `Order` expression into a single expression. +2623 dialect: the dialect used to parse the input expression. +2624 copy: if `False`, modify this expression instance in-place. +2625 opts: other options to use to parse the input expressions. +2626 +2627 Returns: +2628 The modified Select expression. +2629 """ +2630 return _apply_child_list_builder( +2631 *expressions, +2632 instance=self, +2633 arg="cluster", +2634 append=append, +2635 copy=copy, +2636 prefix="CLUSTER BY", +2637 into=Cluster, +2638 dialect=dialect, +2639 **opts, +2640 ) +2641 +2642 def limit( +2643 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts +2644 ) -> Select: +2645 """ +2646 Set the LIMIT expression. +2647 +2648 Example: +2649 >>> Select().from_("tbl").select("x").limit(10).sql() +2650 'SELECT x FROM tbl LIMIT 10' +2651 +2652 Args: +2653 expression: the SQL code string to parse. +2654 This can also be an integer. +2655 If a `Limit` instance is passed, this is used as-is. +2656 If another `Expression` instance is passed, it will be wrapped in a `Limit`. +2657 dialect: the dialect used to parse the input expression. +2658 copy: if `False`, modify this expression instance in-place. +2659 opts: other options to use to parse the input expressions. +2660 +2661 Returns: +2662 Select: the modified expression. +2663 """ +2664 return _apply_builder( +2665 expression=expression, +2666 instance=self, +2667 arg="limit", +2668 into=Limit, +2669 prefix="LIMIT", +2670 dialect=dialect, +2671 copy=copy, +2672 **opts, +2673 ) +2674 +2675 def offset( +2676 self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts +2677 ) -> Select: +2678 """ +2679 Set the OFFSET expression. +2680 +2681 Example: +2682 >>> Select().from_("tbl").select("x").offset(10).sql() +2683 'SELECT x FROM tbl OFFSET 10' +2684 +2685 Args: +2686 expression: the SQL code string to parse. +2687 This can also be an integer. +2688 If a `Offset` instance is passed, this is used as-is. +2689 If another `Expression` instance is passed, it will be wrapped in a `Offset`. +2690 dialect: the dialect used to parse the input expression. +2691 copy: if `False`, modify this expression instance in-place. +2692 opts: other options to use to parse the input expressions. +2693 +2694 Returns: +2695 The modified Select expression. +2696 """ +2697 return _apply_builder( +2698 expression=expression, +2699 instance=self, +2700 arg="offset", +2701 into=Offset, +2702 prefix="OFFSET", +2703 dialect=dialect, +2704 copy=copy, +2705 **opts, +2706 ) +2707 +2708 def select( +2709 self, +2710 *expressions: t.Optional[ExpOrStr], +2711 append: bool = True, +2712 dialect: DialectType = None, +2713 copy: bool = True, +2714 **opts, +2715 ) -> Select: +2716 """ +2717 Append to or set the SELECT expressions. +2718 +2719 Example: +2720 >>> Select().select("x", "y").sql() +2721 'SELECT x, y' +2722 +2723 Args: +2724 *expressions: the SQL code strings to parse. +2725 If an `Expression` instance is passed, it will be used as-is. +2726 append: if `True`, add to any existing expressions. +2727 Otherwise, this resets the expressions. +2728 dialect: the dialect used to parse the input expressions. +2729 copy: if `False`, modify this expression instance in-place. +2730 opts: other options to use to parse the input expressions. +2731 +2732 Returns: +2733 The modified Select expression. +2734 """ +2735 return _apply_list_builder( +2736 *expressions, +2737 instance=self, +2738 arg="expressions", +2739 append=append, +2740 dialect=dialect, +2741 copy=copy, +2742 **opts, +2743 ) +2744 +2745 def lateral( +2746 self, +2747 *expressions: t.Optional[ExpOrStr], +2748 append: bool = True, +2749 dialect: DialectType = None, +2750 copy: bool = True, +2751 **opts, +2752 ) -> Select: +2753 """ +2754 Append to or set the LATERAL expressions. +2755 +2756 Example: +2757 >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql() +2758 'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z' +2759 +2760 Args: +2761 *expressions: the SQL code strings to parse. +2762 If an `Expression` instance is passed, it will be used as-is. +2763 append: if `True`, add to any existing expressions. +2764 Otherwise, this resets the expressions. +2765 dialect: the dialect used to parse the input expressions. +2766 copy: if `False`, modify this expression instance in-place. +2767 opts: other options to use to parse the input expressions. +2768 +2769 Returns: +2770 The modified Select expression. +2771 """ +2772 return _apply_list_builder( +2773 *expressions, +2774 instance=self, +2775 arg="laterals", +2776 append=append, +2777 into=Lateral, +2778 prefix="LATERAL VIEW", +2779 dialect=dialect, +2780 copy=copy, +2781 **opts, +2782 ) +2783 +2784 def join( +2785 self, +2786 expression: ExpOrStr, +2787 on: t.Optional[ExpOrStr] = None, +2788 using: t.Optional[ExpOrStr | t.List[ExpOrStr]] = None, +2789 append: bool = True, +2790 join_type: t.Optional[str] = None, +2791 join_alias: t.Optional[Identifier | str] = None, +2792 dialect: DialectType = None, +2793 copy: bool = True, +2794 **opts, +2795 ) -> Select: +2796 """ +2797 Append to or set the JOIN expressions. +2798 +2799 Example: +2800 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql() +2801 'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y' +2802 +2803 >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql() +2804 'SELECT 1 FROM a JOIN b USING (x, y, z)' 2805 -2806 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql() -2807 'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y' -2808 -2809 Args: -2810 expression: the SQL code string to parse. -2811 If an `Expression` instance is passed, it will be used as-is. -2812 on: optionally specify the join "on" criteria as a SQL string. +2806 Use `join_type` to change the type of join: +2807 +2808 >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql() +2809 'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y' +2810 +2811 Args: +2812 expression: the SQL code string to parse. 2813 If an `Expression` instance is passed, it will be used as-is. -2814 using: optionally specify the join "using" criteria as a SQL string. +2814 on: optionally specify the join "on" criteria as a SQL string. 2815 If an `Expression` instance is passed, it will be used as-is. -2816 append: if `True`, add to any existing expressions. -2817 Otherwise, this resets the expressions. -2818 join_type: if set, alter the parsed join type. -2819 join_alias: an optional alias for the joined source. -2820 dialect: the dialect used to parse the input expressions. -2821 copy: if `False`, modify this expression instance in-place. -2822 opts: other options to use to parse the input expressions. -2823 -2824 Returns: -2825 Select: the modified expression. -2826 """ -2827 parse_args: t.Dict[str, t.Any] = {"dialect": dialect, **opts} -2828 -2829 try: -2830 expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args) -2831 except ParseError: -2832 expression = maybe_parse(expression, into=(Join, Expression), **parse_args) -2833 -2834 join = expression if isinstance(expression, Join) else Join(this=expression) +2816 using: optionally specify the join "using" criteria as a SQL string. +2817 If an `Expression` instance is passed, it will be used as-is. +2818 append: if `True`, add to any existing expressions. +2819 Otherwise, this resets the expressions. +2820 join_type: if set, alter the parsed join type. +2821 join_alias: an optional alias for the joined source. +2822 dialect: the dialect used to parse the input expressions. +2823 copy: if `False`, modify this expression instance in-place. +2824 opts: other options to use to parse the input expressions. +2825 +2826 Returns: +2827 Select: the modified expression. +2828 """ +2829 parse_args: t.Dict[str, t.Any] = {"dialect": dialect, **opts} +2830 +2831 try: +2832 expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args) +2833 except ParseError: +2834 expression = maybe_parse(expression, into=(Join, Expression), **parse_args) 2835 -2836 if isinstance(join.this, Select): -2837 join.this.replace(join.this.subquery()) -2838 -2839 if join_type: -2840 method: t.Optional[Token] -2841 side: t.Optional[Token] -2842 kind: t.Optional[Token] -2843 -2844 method, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args) # type: ignore +2836 join = expression if isinstance(expression, Join) else Join(this=expression) +2837 +2838 if isinstance(join.this, Select): +2839 join.this.replace(join.this.subquery()) +2840 +2841 if join_type: +2842 method: t.Optional[Token] +2843 side: t.Optional[Token] +2844 kind: t.Optional[Token] 2845 -2846 if method: -2847 join.set("method", method.text) -2848 if side: -2849 join.set("side", side.text) -2850 if kind: -2851 join.set("kind", kind.text) -2852 -2853 if on: -2854 on = and_(*ensure_list(on), dialect=dialect, copy=copy, **opts) -2855 join.set("on", on) -2856 -2857 if using: -2858 join = _apply_list_builder( -2859 *ensure_list(using), -2860 instance=join, -2861 arg="using", -2862 append=append, -2863 copy=copy, -2864 **opts, -2865 ) -2866 -2867 if join_alias: -2868 join.set("this", alias_(join.this, join_alias, table=True)) -2869 -2870 return _apply_list_builder( -2871 join, -2872 instance=self, -2873 arg="joins", -2874 append=append, -2875 copy=copy, -2876 **opts, -2877 ) -2878 -2879 def where( -2880 self, -2881 *expressions: t.Optional[ExpOrStr], -2882 append: bool = True, -2883 dialect: DialectType = None, -2884 copy: bool = True, -2885 **opts, -2886 ) -> Select: -2887 """ -2888 Append to or set the WHERE expressions. -2889 -2890 Example: -2891 >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql() -2892 "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'" -2893 -2894 Args: -2895 *expressions: the SQL code strings to parse. -2896 If an `Expression` instance is passed, it will be used as-is. -2897 Multiple expressions are combined with an AND operator. -2898 append: if `True`, AND the new expressions to any existing expression. -2899 Otherwise, this resets the expression. -2900 dialect: the dialect used to parse the input expressions. -2901 copy: if `False`, modify this expression instance in-place. -2902 opts: other options to use to parse the input expressions. -2903 -2904 Returns: -2905 Select: the modified expression. -2906 """ -2907 return _apply_conjunction_builder( -2908 *expressions, -2909 instance=self, -2910 arg="where", -2911 append=append, -2912 into=Where, -2913 dialect=dialect, -2914 copy=copy, -2915 **opts, -2916 ) -2917 -2918 def having( -2919 self, -2920 *expressions: t.Optional[ExpOrStr], -2921 append: bool = True, -2922 dialect: DialectType = None, -2923 copy: bool = True, -2924 **opts, -2925 ) -> Select: -2926 """ -2927 Append to or set the HAVING expressions. -2928 -2929 Example: -2930 >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql() -2931 'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3' -2932 -2933 Args: -2934 *expressions: the SQL code strings to parse. -2935 If an `Expression` instance is passed, it will be used as-is. -2936 Multiple expressions are combined with an AND operator. -2937 append: if `True`, AND the new expressions to any existing expression. -2938 Otherwise, this resets the expression. -2939 dialect: the dialect used to parse the input expressions. -2940 copy: if `False`, modify this expression instance in-place. -2941 opts: other options to use to parse the input expressions. -2942 -2943 Returns: -2944 The modified Select expression. -2945 """ -2946 return _apply_conjunction_builder( -2947 *expressions, -2948 instance=self, -2949 arg="having", -2950 append=append, -2951 into=Having, -2952 dialect=dialect, -2953 copy=copy, -2954 **opts, -2955 ) -2956 -2957 def window( -2958 self, -2959 *expressions: t.Optional[ExpOrStr], -2960 append: bool = True, -2961 dialect: DialectType = None, -2962 copy: bool = True, -2963 **opts, -2964 ) -> Select: -2965 return _apply_list_builder( -2966 *expressions, -2967 instance=self, -2968 arg="windows", -2969 append=append, -2970 into=Window, -2971 dialect=dialect, -2972 copy=copy, -2973 **opts, -2974 ) -2975 -2976 def qualify( -2977 self, -2978 *expressions: t.Optional[ExpOrStr], -2979 append: bool = True, -2980 dialect: DialectType = None, -2981 copy: bool = True, -2982 **opts, -2983 ) -> Select: -2984 return _apply_conjunction_builder( -2985 *expressions, -2986 instance=self, -2987 arg="qualify", -2988 append=append, -2989 into=Qualify, -2990 dialect=dialect, -2991 copy=copy, -2992 **opts, -2993 ) -2994 -2995 def distinct( -2996 self, *ons: t.Optional[ExpOrStr], distinct: bool = True, copy: bool = True -2997 ) -> Select: -2998 """ -2999 Set the OFFSET expression. -3000 -3001 Example: -3002 >>> Select().from_("tbl").select("x").distinct().sql() -3003 'SELECT DISTINCT x FROM tbl' -3004 -3005 Args: -3006 ons: the expressions to distinct on -3007 distinct: whether the Select should be distinct -3008 copy: if `False`, modify this expression instance in-place. -3009 -3010 Returns: -3011 Select: the modified expression. -3012 """ -3013 instance = _maybe_copy(self, copy) -3014 on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons if on]) if ons else None -3015 instance.set("distinct", Distinct(on=on) if distinct else None) -3016 return instance -3017 -3018 def ctas( -3019 self, -3020 table: ExpOrStr, -3021 properties: t.Optional[t.Dict] = None, -3022 dialect: DialectType = None, -3023 copy: bool = True, -3024 **opts, -3025 ) -> Create: -3026 """ -3027 Convert this expression to a CREATE TABLE AS statement. -3028 -3029 Example: -3030 >>> Select().select("*").from_("tbl").ctas("x").sql() -3031 'CREATE TABLE x AS SELECT * FROM tbl' -3032 -3033 Args: -3034 table: the SQL code string to parse as the table name. -3035 If another `Expression` instance is passed, it will be used as-is. -3036 properties: an optional mapping of table properties -3037 dialect: the dialect used to parse the input table. -3038 copy: if `False`, modify this expression instance in-place. -3039 opts: other options to use to parse the input table. -3040 -3041 Returns: -3042 The new Create expression. -3043 """ -3044 instance = _maybe_copy(self, copy) -3045 table_expression = maybe_parse( -3046 table, -3047 into=Table, -3048 dialect=dialect, -3049 **opts, -3050 ) -3051 properties_expression = None -3052 if properties: -3053 properties_expression = Properties.from_dict(properties) -3054 -3055 return Create( -3056 this=table_expression, -3057 kind="table", -3058 expression=instance, -3059 properties=properties_expression, -3060 ) -3061 -3062 def lock(self, update: bool = True, copy: bool = True) -> Select: -3063 """ -3064 Set the locking read mode for this expression. -3065 -3066 Examples: -3067 >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql") -3068 "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE" -3069 -3070 >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql") -3071 "SELECT x FROM tbl WHERE x = 'a' FOR SHARE" -3072 -3073 Args: -3074 update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`. -3075 copy: if `False`, modify this expression instance in-place. -3076 -3077 Returns: -3078 The modified expression. -3079 """ -3080 inst = _maybe_copy(self, copy) -3081 inst.set("locks", [Lock(update=update)]) -3082 -3083 return inst +2846 method, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args) # type: ignore +2847 +2848 if method: +2849 join.set("method", method.text) +2850 if side: +2851 join.set("side", side.text) +2852 if kind: +2853 join.set("kind", kind.text) +2854 +2855 if on: +2856 on = and_(*ensure_list(on), dialect=dialect, copy=copy, **opts) +2857 join.set("on", on) +2858 +2859 if using: +2860 join = _apply_list_builder( +2861 *ensure_list(using), +2862 instance=join, +2863 arg="using", +2864 append=append, +2865 copy=copy, +2866 **opts, +2867 ) +2868 +2869 if join_alias: +2870 join.set("this", alias_(join.this, join_alias, table=True)) +2871 +2872 return _apply_list_builder( +2873 join, +2874 instance=self, +2875 arg="joins", +2876 append=append, +2877 copy=copy, +2878 **opts, +2879 ) +2880 +2881 def where( +2882 self, +2883 *expressions: t.Optional[ExpOrStr], +2884 append: bool = True, +2885 dialect: DialectType = None, +2886 copy: bool = True, +2887 **opts, +2888 ) -> Select: +2889 """ +2890 Append to or set the WHERE expressions. +2891 +2892 Example: +2893 >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql() +2894 "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'" +2895 +2896 Args: +2897 *expressions: the SQL code strings to parse. +2898 If an `Expression` instance is passed, it will be used as-is. +2899 Multiple expressions are combined with an AND operator. +2900 append: if `True`, AND the new expressions to any existing expression. +2901 Otherwise, this resets the expression. +2902 dialect: the dialect used to parse the input expressions. +2903 copy: if `False`, modify this expression instance in-place. +2904 opts: other options to use to parse the input expressions. +2905 +2906 Returns: +2907 Select: the modified expression. +2908 """ +2909 return _apply_conjunction_builder( +2910 *expressions, +2911 instance=self, +2912 arg="where", +2913 append=append, +2914 into=Where, +2915 dialect=dialect, +2916 copy=copy, +2917 **opts, +2918 ) +2919 +2920 def having( +2921 self, +2922 *expressions: t.Optional[ExpOrStr], +2923 append: bool = True, +2924 dialect: DialectType = None, +2925 copy: bool = True, +2926 **opts, +2927 ) -> Select: +2928 """ +2929 Append to or set the HAVING expressions. +2930 +2931 Example: +2932 >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql() +2933 'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3' +2934 +2935 Args: +2936 *expressions: the SQL code strings to parse. +2937 If an `Expression` instance is passed, it will be used as-is. +2938 Multiple expressions are combined with an AND operator. +2939 append: if `True`, AND the new expressions to any existing expression. +2940 Otherwise, this resets the expression. +2941 dialect: the dialect used to parse the input expressions. +2942 copy: if `False`, modify this expression instance in-place. +2943 opts: other options to use to parse the input expressions. +2944 +2945 Returns: +2946 The modified Select expression. +2947 """ +2948 return _apply_conjunction_builder( +2949 *expressions, +2950 instance=self, +2951 arg="having", +2952 append=append, +2953 into=Having, +2954 dialect=dialect, +2955 copy=copy, +2956 **opts, +2957 ) +2958 +2959 def window( +2960 self, +2961 *expressions: t.Optional[ExpOrStr], +2962 append: bool = True, +2963 dialect: DialectType = None, +2964 copy: bool = True, +2965 **opts, +2966 ) -> Select: +2967 return _apply_list_builder( +2968 *expressions, +2969 instance=self, +2970 arg="windows", +2971 append=append, +2972 into=Window, +2973 dialect=dialect, +2974 copy=copy, +2975 **opts, +2976 ) +2977 +2978 def qualify( +2979 self, +2980 *expressions: t.Optional[ExpOrStr], +2981 append: bool = True, +2982 dialect: DialectType = None, +2983 copy: bool = True, +2984 **opts, +2985 ) -> Select: +2986 return _apply_conjunction_builder( +2987 *expressions, +2988 instance=self, +2989 arg="qualify", +2990 append=append, +2991 into=Qualify, +2992 dialect=dialect, +2993 copy=copy, +2994 **opts, +2995 ) +2996 +2997 def distinct( +2998 self, *ons: t.Optional[ExpOrStr], distinct: bool = True, copy: bool = True +2999 ) -> Select: +3000 """ +3001 Set the OFFSET expression. +3002 +3003 Example: +3004 >>> Select().from_("tbl").select("x").distinct().sql() +3005 'SELECT DISTINCT x FROM tbl' +3006 +3007 Args: +3008 ons: the expressions to distinct on +3009 distinct: whether the Select should be distinct +3010 copy: if `False`, modify this expression instance in-place. +3011 +3012 Returns: +3013 Select: the modified expression. +3014 """ +3015 instance = _maybe_copy(self, copy) +3016 on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons if on]) if ons else None +3017 instance.set("distinct", Distinct(on=on) if distinct else None) +3018 return instance +3019 +3020 def ctas( +3021 self, +3022 table: ExpOrStr, +3023 properties: t.Optional[t.Dict] = None, +3024 dialect: DialectType = None, +3025 copy: bool = True, +3026 **opts, +3027 ) -> Create: +3028 """ +3029 Convert this expression to a CREATE TABLE AS statement. +3030 +3031 Example: +3032 >>> Select().select("*").from_("tbl").ctas("x").sql() +3033 'CREATE TABLE x AS SELECT * FROM tbl' +3034 +3035 Args: +3036 table: the SQL code string to parse as the table name. +3037 If another `Expression` instance is passed, it will be used as-is. +3038 properties: an optional mapping of table properties +3039 dialect: the dialect used to parse the input table. +3040 copy: if `False`, modify this expression instance in-place. +3041 opts: other options to use to parse the input table. +3042 +3043 Returns: +3044 The new Create expression. +3045 """ +3046 instance = _maybe_copy(self, copy) +3047 table_expression = maybe_parse( +3048 table, +3049 into=Table, +3050 dialect=dialect, +3051 **opts, +3052 ) +3053 properties_expression = None +3054 if properties: +3055 properties_expression = Properties.from_dict(properties) +3056 +3057 return Create( +3058 this=table_expression, +3059 kind="table", +3060 expression=instance, +3061 properties=properties_expression, +3062 ) +3063 +3064 def lock(self, update: bool = True, copy: bool = True) -> Select: +3065 """ +3066 Set the locking read mode for this expression. +3067 +3068 Examples: +3069 >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql") +3070 "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE" +3071 +3072 >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql") +3073 "SELECT x FROM tbl WHERE x = 'a' FOR SHARE" +3074 +3075 Args: +3076 update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`. +3077 copy: if `False`, modify this expression instance in-place. +3078 +3079 Returns: +3080 The modified expression. +3081 """ +3082 inst = _maybe_copy(self, copy) +3083 inst.set("locks", [Lock(update=update)]) 3084 -3085 def hint(self, *hints: ExpOrStr, dialect: DialectType = None, copy: bool = True) -> Select: -3086 """ -3087 Set hints for this expression. -3088 -3089 Examples: -3090 >>> Select().select("x").from_("tbl").hint("BROADCAST(y)").sql(dialect="spark") -3091 'SELECT /*+ BROADCAST(y) */ x FROM tbl' -3092 -3093 Args: -3094 hints: The SQL code strings to parse as the hints. -3095 If an `Expression` instance is passed, it will be used as-is. -3096 dialect: The dialect used to parse the hints. -3097 copy: If `False`, modify this expression instance in-place. -3098 -3099 Returns: -3100 The modified expression. -3101 """ -3102 inst = _maybe_copy(self, copy) -3103 inst.set( -3104 "hint", Hint(expressions=[maybe_parse(h, copy=copy, dialect=dialect) for h in hints]) -3105 ) -3106 -3107 return inst +3085 return inst +3086 +3087 def hint(self, *hints: ExpOrStr, dialect: DialectType = None, copy: bool = True) -> Select: +3088 """ +3089 Set hints for this expression. +3090 +3091 Examples: +3092 >>> Select().select("x").from_("tbl").hint("BROADCAST(y)").sql(dialect="spark") +3093 'SELECT /*+ BROADCAST(y) */ x FROM tbl' +3094 +3095 Args: +3096 hints: The SQL code strings to parse as the hints. +3097 If an `Expression` instance is passed, it will be used as-is. +3098 dialect: The dialect used to parse the hints. +3099 copy: If `False`, modify this expression instance in-place. +3100 +3101 Returns: +3102 The modified expression. +3103 """ +3104 inst = _maybe_copy(self, copy) +3105 inst.set( +3106 "hint", Hint(expressions=[maybe_parse(h, copy=copy, dialect=dialect) for h in hints]) +3107 ) 3108 -3109 @property -3110 def named_selects(self) -> t.List[str]: -3111 return [e.output_name for e in self.expressions if e.alias_or_name] -3112 -3113 @property -3114 def is_star(self) -> bool: -3115 return any(expression.is_star for expression in self.expressions) -3116 -3117 @property -3118 def selects(self) -> t.List[Expression]: -3119 return self.expressions -3120 -3121 -3122class Subquery(DerivedTable, Unionable): -3123 arg_types = { -3124 "this": True, -3125 "alias": False, -3126 "with": False, -3127 **QUERY_MODIFIERS, -3128 } -3129 -3130 def unnest(self): -3131 """ -3132 Returns the first non subquery. -3133 """ -3134 expression = self -3135 while isinstance(expression, Subquery): -3136 expression = expression.this -3137 return expression -3138 -3139 @property -3140 def is_star(self) -> bool: -3141 return self.this.is_star -3142 -3143 @property -3144 def output_name(self) -> str: -3145 return self.alias -3146 -3147 -3148class TableSample(Expression): -3149 arg_types = { -3150 "this": False, -3151 "method": False, -3152 "bucket_numerator": False, -3153 "bucket_denominator": False, -3154 "bucket_field": False, -3155 "percent": False, -3156 "rows": False, -3157 "size": False, -3158 "seed": False, -3159 "kind": False, -3160 } -3161 -3162 -3163class Tag(Expression): -3164 """Tags are used for generating arbitrary sql like SELECT <span>x</span>.""" -3165 -3166 arg_types = { -3167 "this": False, -3168 "prefix": False, -3169 "postfix": False, -3170 } -3171 -3172 -3173# Represents both the standard SQL PIVOT operator and DuckDB's "simplified" PIVOT syntax -3174# https://duckdb.org/docs/sql/statements/pivot -3175class Pivot(Expression): -3176 arg_types = { -3177 "this": False, -3178 "alias": False, -3179 "expressions": True, -3180 "field": False, -3181 "unpivot": False, -3182 "using": False, -3183 "group": False, -3184 "columns": False, -3185 } -3186 -3187 -3188class Window(Expression): -3189 arg_types = { -3190 "this": True, -3191 "partition_by": False, -3192 "order": False, -3193 "spec": False, -3194 "alias": False, -3195 "over": False, -3196 "first": False, -3197 } -3198 -3199 -3200class WindowSpec(Expression): -3201 arg_types = { -3202 "kind": False, -3203 "start": False, -3204 "start_side": False, -3205 "end": False, -3206 "end_side": False, -3207 } -3208 -3209 -3210class Where(Expression): -3211 pass -3212 -3213 -3214class Star(Expression): -3215 arg_types = {"except": False, "replace": False} -3216 -3217 @property -3218 def name(self) -> str: -3219 return "*" -3220 -3221 @property -3222 def output_name(self) -> str: -3223 return self.name -3224 -3225 -3226class Parameter(Expression): -3227 arg_types = {"this": True, "wrapped": False} -3228 -3229 -3230class SessionParameter(Expression): -3231 arg_types = {"this": True, "kind": False} -3232 -3233 -3234class Placeholder(Expression): -3235 arg_types = {"this": False, "kind": False} -3236 -3237 -3238class Null(Condition): -3239 arg_types: t.Dict[str, t.Any] = {} -3240 -3241 @property -3242 def name(self) -> str: -3243 return "NULL" -3244 -3245 -3246class Boolean(Condition): -3247 pass -3248 -3249 -3250class DataTypeSize(Expression): -3251 arg_types = {"this": True, "expression": False} -3252 -3253 -3254class DataType(Expression): -3255 arg_types = { -3256 "this": True, -3257 "expressions": False, -3258 "nested": False, -3259 "values": False, -3260 "prefix": False, -3261 } -3262 -3263 class Type(AutoName): -3264 ARRAY = auto() -3265 BIGDECIMAL = auto() -3266 BIGINT = auto() -3267 BIGSERIAL = auto() -3268 BINARY = auto() -3269 BIT = auto() -3270 BOOLEAN = auto() -3271 CHAR = auto() -3272 DATE = auto() -3273 DATETIME = auto() -3274 DATETIME64 = auto() -3275 ENUM = auto() -3276 INT4RANGE = auto() -3277 INT4MULTIRANGE = auto() -3278 INT8RANGE = auto() -3279 INT8MULTIRANGE = auto() -3280 NUMRANGE = auto() -3281 NUMMULTIRANGE = auto() -3282 TSRANGE = auto() -3283 TSMULTIRANGE = auto() -3284 TSTZRANGE = auto() -3285 TSTZMULTIRANGE = auto() -3286 DATERANGE = auto() -3287 DATEMULTIRANGE = auto() -3288 DECIMAL = auto() -3289 DOUBLE = auto() -3290 FLOAT = auto() -3291 GEOGRAPHY = auto() -3292 GEOMETRY = auto() -3293 HLLSKETCH = auto() -3294 HSTORE = auto() -3295 IMAGE = auto() -3296 INET = auto() -3297 INT = auto() -3298 INT128 = auto() -3299 INT256 = auto() -3300 INTERVAL = auto() -3301 JSON = auto() -3302 JSONB = auto() -3303 LONGBLOB = auto() -3304 LONGTEXT = auto() -3305 MAP = auto() -3306 MEDIUMBLOB = auto() -3307 MEDIUMTEXT = auto() -3308 MONEY = auto() -3309 NCHAR = auto() -3310 NULL = auto() -3311 NULLABLE = auto() -3312 NVARCHAR = auto() -3313 OBJECT = auto() -3314 ROWVERSION = auto() -3315 SERIAL = auto() -3316 SET = auto() -3317 SMALLINT = auto() -3318 SMALLMONEY = auto() -3319 SMALLSERIAL = auto() -3320 STRUCT = auto() -3321 SUPER = auto() -3322 TEXT = auto() -3323 TIME = auto() -3324 TIMESTAMP = auto() -3325 TIMESTAMPTZ = auto() -3326 TIMESTAMPLTZ = auto() -3327 TINYINT = auto() -3328 UBIGINT = auto() -3329 UINT = auto() -3330 USMALLINT = auto() -3331 UTINYINT = auto() -3332 UNKNOWN = auto() # Sentinel value, useful for type annotation -3333 UINT128 = auto() -3334 UINT256 = auto() -3335 UNIQUEIDENTIFIER = auto() -3336 UUID = auto() -3337 VARBINARY = auto() -3338 VARCHAR = auto() -3339 VARIANT = auto() -3340 XML = auto() -3341 -3342 TEXT_TYPES = { -3343 Type.CHAR, -3344 Type.NCHAR, -3345 Type.VARCHAR, -3346 Type.NVARCHAR, -3347 Type.TEXT, -3348 } -3349 -3350 INTEGER_TYPES = { -3351 Type.INT, -3352 Type.TINYINT, -3353 Type.SMALLINT, -3354 Type.BIGINT, -3355 Type.INT128, -3356 Type.INT256, -3357 } -3358 -3359 FLOAT_TYPES = { -3360 Type.FLOAT, -3361 Type.DOUBLE, -3362 } -3363 -3364 NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES} +3109 return inst +3110 +3111 @property +3112 def named_selects(self) -> t.List[str]: +3113 return [e.output_name for e in self.expressions if e.alias_or_name] +3114 +3115 @property +3116 def is_star(self) -> bool: +3117 return any(expression.is_star for expression in self.expressions) +3118 +3119 @property +3120 def selects(self) -> t.List[Expression]: +3121 return self.expressions +3122 +3123 +3124class Subquery(DerivedTable, Unionable): +3125 arg_types = { +3126 "this": True, +3127 "alias": False, +3128 "with": False, +3129 **QUERY_MODIFIERS, +3130 } +3131 +3132 def unnest(self): +3133 """ +3134 Returns the first non subquery. +3135 """ +3136 expression = self +3137 while isinstance(expression, Subquery): +3138 expression = expression.this +3139 return expression +3140 +3141 @property +3142 def is_star(self) -> bool: +3143 return self.this.is_star +3144 +3145 @property +3146 def output_name(self) -> str: +3147 return self.alias +3148 +3149 +3150class TableSample(Expression): +3151 arg_types = { +3152 "this": False, +3153 "method": False, +3154 "bucket_numerator": False, +3155 "bucket_denominator": False, +3156 "bucket_field": False, +3157 "percent": False, +3158 "rows": False, +3159 "size": False, +3160 "seed": False, +3161 "kind": False, +3162 } +3163 +3164 +3165class Tag(Expression): +3166 """Tags are used for generating arbitrary sql like SELECT <span>x</span>.""" +3167 +3168 arg_types = { +3169 "this": False, +3170 "prefix": False, +3171 "postfix": False, +3172 } +3173 +3174 +3175# Represents both the standard SQL PIVOT operator and DuckDB's "simplified" PIVOT syntax +3176# https://duckdb.org/docs/sql/statements/pivot +3177class Pivot(Expression): +3178 arg_types = { +3179 "this": False, +3180 "alias": False, +3181 "expressions": True, +3182 "field": False, +3183 "unpivot": False, +3184 "using": False, +3185 "group": False, +3186 "columns": False, +3187 } +3188 +3189 +3190class Window(Expression): +3191 arg_types = { +3192 "this": True, +3193 "partition_by": False, +3194 "order": False, +3195 "spec": False, +3196 "alias": False, +3197 "over": False, +3198 "first": False, +3199 } +3200 +3201 +3202class WindowSpec(Expression): +3203 arg_types = { +3204 "kind": False, +3205 "start": False, +3206 "start_side": False, +3207 "end": False, +3208 "end_side": False, +3209 } +3210 +3211 +3212class Where(Expression): +3213 pass +3214 +3215 +3216class Star(Expression): +3217 arg_types = {"except": False, "replace": False} +3218 +3219 @property +3220 def name(self) -> str: +3221 return "*" +3222 +3223 @property +3224 def output_name(self) -> str: +3225 return self.name +3226 +3227 +3228class Parameter(Condition): +3229 arg_types = {"this": True, "wrapped": False} +3230 +3231 +3232class SessionParameter(Condition): +3233 arg_types = {"this": True, "kind": False} +3234 +3235 +3236class Placeholder(Condition): +3237 arg_types = {"this": False, "kind": False} +3238 +3239 +3240class Null(Condition): +3241 arg_types: t.Dict[str, t.Any] = {} +3242 +3243 @property +3244 def name(self) -> str: +3245 return "NULL" +3246 +3247 +3248class Boolean(Condition): +3249 pass +3250 +3251 +3252class DataTypeSize(Expression): +3253 arg_types = {"this": True, "expression": False} +3254 +3255 +3256class DataType(Expression): +3257 arg_types = { +3258 "this": True, +3259 "expressions": False, +3260 "nested": False, +3261 "values": False, +3262 "prefix": False, +3263 } +3264 +3265 class Type(AutoName): +3266 ARRAY = auto() +3267 BIGDECIMAL = auto() +3268 BIGINT = auto() +3269 BIGSERIAL = auto() +3270 BINARY = auto() +3271 BIT = auto() +3272 BOOLEAN = auto() +3273 CHAR = auto() +3274 DATE = auto() +3275 DATETIME = auto() +3276 DATETIME64 = auto() +3277 ENUM = auto() +3278 INT4RANGE = auto() +3279 INT4MULTIRANGE = auto() +3280 INT8RANGE = auto() +3281 INT8MULTIRANGE = auto() +3282 NUMRANGE = auto() +3283 NUMMULTIRANGE = auto() +3284 TSRANGE = auto() +3285 TSMULTIRANGE = auto() +3286 TSTZRANGE = auto() +3287 TSTZMULTIRANGE = auto() +3288 DATERANGE = auto() +3289 DATEMULTIRANGE = auto() +3290 DECIMAL = auto() +3291 DOUBLE = auto() +3292 FLOAT = auto() +3293 GEOGRAPHY = auto() +3294 GEOMETRY = auto() +3295 HLLSKETCH = auto() +3296 HSTORE = auto() +3297 IMAGE = auto() +3298 INET = auto() +3299 INT = auto() +3300 INT128 = auto() +3301 INT256 = auto() +3302 INTERVAL = auto() +3303 JSON = auto() +3304 JSONB = auto() +3305 LONGBLOB = auto() +3306 LONGTEXT = auto() +3307 MAP = auto() +3308 MEDIUMBLOB = auto() +3309 MEDIUMTEXT = auto() +3310 MONEY = auto() +3311 NCHAR = auto() +3312 NULL = auto() +3313 NULLABLE = auto() +3314 NVARCHAR = auto() +3315 OBJECT = auto() +3316 ROWVERSION = auto() +3317 SERIAL = auto() +3318 SET = auto() +3319 SMALLINT = auto() +3320 SMALLMONEY = auto() +3321 SMALLSERIAL = auto() +3322 STRUCT = auto() +3323 SUPER = auto() +3324 TEXT = auto() +3325 TIME = auto() +3326 TIMESTAMP = auto() +3327 TIMESTAMPTZ = auto() +3328 TIMESTAMPLTZ = auto() +3329 TINYINT = auto() +3330 UBIGINT = auto() +3331 UINT = auto() +3332 USMALLINT = auto() +3333 UTINYINT = auto() +3334 UNKNOWN = auto() # Sentinel value, useful for type annotation +3335 UINT128 = auto() +3336 UINT256 = auto() +3337 UNIQUEIDENTIFIER = auto() +3338 UUID = auto() +3339 VARBINARY = auto() +3340 VARCHAR = auto() +3341 VARIANT = auto() +3342 XML = auto() +3343 +3344 TEXT_TYPES = { +3345 Type.CHAR, +3346 Type.NCHAR, +3347 Type.VARCHAR, +3348 Type.NVARCHAR, +3349 Type.TEXT, +3350 } +3351 +3352 INTEGER_TYPES = { +3353 Type.INT, +3354 Type.TINYINT, +3355 Type.SMALLINT, +3356 Type.BIGINT, +3357 Type.INT128, +3358 Type.INT256, +3359 } +3360 +3361 FLOAT_TYPES = { +3362 Type.FLOAT, +3363 Type.DOUBLE, +3364 } 3365 -3366 TEMPORAL_TYPES = { -3367 Type.TIME, -3368 Type.TIMESTAMP, -3369 Type.TIMESTAMPTZ, -3370 Type.TIMESTAMPLTZ, -3371 Type.DATE, -3372 Type.DATETIME, -3373 Type.DATETIME64, -3374 } -3375 -3376 @classmethod -3377 def build( -3378 cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs -3379 ) -> DataType: -3380 from sqlglot import parse_one -3381 -3382 if isinstance(dtype, str): -3383 if dtype.upper() == "UNKNOWN": -3384 data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type.UNKNOWN) -3385 else: -3386 data_type_exp = parse_one(dtype, read=dialect, into=DataType) -3387 -3388 if data_type_exp is None: -3389 raise ValueError(f"Unparsable data type value: {dtype}") -3390 elif isinstance(dtype, DataType.Type): -3391 data_type_exp = DataType(this=dtype) -3392 elif isinstance(dtype, DataType): -3393 return dtype -3394 else: -3395 raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type") -3396 -3397 return DataType(**{**data_type_exp.args, **kwargs}) -3398 -3399 def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool: -3400 return any(self.this == DataType.build(dtype).this for dtype in dtypes) +3366 NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES} +3367 +3368 TEMPORAL_TYPES = { +3369 Type.TIME, +3370 Type.TIMESTAMP, +3371 Type.TIMESTAMPTZ, +3372 Type.TIMESTAMPLTZ, +3373 Type.DATE, +3374 Type.DATETIME, +3375 Type.DATETIME64, +3376 } +3377 +3378 META_TYPES = {"UNKNOWN", "NULL"} +3379 +3380 @classmethod +3381 def build( +3382 cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs +3383 ) -> DataType: +3384 from sqlglot import parse_one +3385 +3386 if isinstance(dtype, str): +3387 upper = dtype.upper() +3388 if upper in DataType.META_TYPES: +3389 data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[upper]) +3390 else: +3391 data_type_exp = parse_one(dtype, read=dialect, into=DataType) +3392 +3393 if data_type_exp is None: +3394 raise ValueError(f"Unparsable data type value: {dtype}") +3395 elif isinstance(dtype, DataType.Type): +3396 data_type_exp = DataType(this=dtype) +3397 elif isinstance(dtype, DataType): +3398 return dtype +3399 else: +3400 raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type") 3401 -3402 -3403# https://www.postgresql.org/docs/15/datatype-pseudo.html -3404class PseudoType(Expression): -3405 pass +3402 return DataType(**{**data_type_exp.args, **kwargs}) +3403 +3404 def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool: +3405 return any(self.this == DataType.build(dtype).this for dtype in dtypes) 3406 3407 -3408# WHERE x <OP> EXISTS|ALL|ANY|SOME(SELECT ...) -3409class SubqueryPredicate(Predicate): +3408# https://www.postgresql.org/docs/15/datatype-pseudo.html +3409class PseudoType(Expression): 3410 pass 3411 3412 -3413class All(SubqueryPredicate): -3414 pass -3415 +3413# WHERE x <OP> EXISTS|ALL|ANY|SOME(SELECT ...) +3414class SubqueryPredicate(Predicate): +3415 pass 3416 -3417class Any(SubqueryPredicate): -3418 pass -3419 +3417 +3418class All(SubqueryPredicate): +3419 pass 3420 -3421class Exists(SubqueryPredicate): -3422 pass -3423 +3421 +3422class Any(SubqueryPredicate): +3423 pass 3424 -3425# Commands to interact with the databases or engines. For most of the command -3426# expressions we parse whatever comes after the command's name as a string. -3427class Command(Expression): -3428 arg_types = {"this": True, "expression": False} +3425 +3426class Exists(SubqueryPredicate): +3427 pass +3428 3429 -3430 -3431class Transaction(Expression): -3432 arg_types = {"this": False, "modes": False} -3433 +3430# Commands to interact with the databases or engines. For most of the command +3431# expressions we parse whatever comes after the command's name as a string. +3432class Command(Expression): +3433 arg_types = {"this": True, "expression": False} 3434 -3435class Commit(Expression): -3436 arg_types = {"chain": False} -3437 +3435 +3436class Transaction(Expression): +3437 arg_types = {"this": False, "modes": False} 3438 -3439class Rollback(Expression): -3440 arg_types = {"savepoint": False} -3441 +3439 +3440class Commit(Expression): +3441 arg_types = {"chain": False} 3442 -3443class AlterTable(Expression): -3444 arg_types = {"this": True, "actions": True, "exists": False} -3445 +3443 +3444class Rollback(Expression): +3445 arg_types = {"savepoint": False} 3446 -3447class AddConstraint(Expression): -3448 arg_types = {"this": False, "expression": False, "enforced": False} -3449 +3447 +3448class AlterTable(Expression): +3449 arg_types = {"this": True, "actions": True, "exists": False} 3450 -3451class DropPartition(Expression): -3452 arg_types = {"expressions": True, "exists": False} -3453 +3451 +3452class AddConstraint(Expression): +3453 arg_types = {"this": False, "expression": False, "enforced": False} 3454 -3455# Binary expressions like (ADD a b) -3456class Binary(Condition): -3457 arg_types = {"this": True, "expression": True} +3455 +3456class DropPartition(Expression): +3457 arg_types = {"expressions": True, "exists": False} 3458 -3459 @property -3460 def left(self): -3461 return self.this -3462 -3463 @property -3464 def right(self): -3465 return self.expression -3466 +3459 +3460# Binary expressions like (ADD a b) +3461class Binary(Condition): +3462 arg_types = {"this": True, "expression": True} +3463 +3464 @property +3465 def left(self): +3466 return self.this 3467 -3468class Add(Binary): -3469 pass -3470 +3468 @property +3469 def right(self): +3470 return self.expression 3471 -3472class Connector(Binary): -3473 pass -3474 +3472 +3473class Add(Binary): +3474 pass 3475 -3476class And(Connector): -3477 pass -3478 +3476 +3477class Connector(Binary): +3478 pass 3479 -3480class Or(Connector): -3481 pass -3482 +3480 +3481class And(Connector): +3482 pass 3483 -3484class BitwiseAnd(Binary): -3485 pass -3486 +3484 +3485class Or(Connector): +3486 pass 3487 -3488class BitwiseLeftShift(Binary): -3489 pass -3490 +3488 +3489class BitwiseAnd(Binary): +3490 pass 3491 -3492class BitwiseOr(Binary): -3493 pass -3494 +3492 +3493class BitwiseLeftShift(Binary): +3494 pass 3495 -3496class BitwiseRightShift(Binary): -3497 pass -3498 +3496 +3497class BitwiseOr(Binary): +3498 pass 3499 -3500class BitwiseXor(Binary): -3501 pass -3502 +3500 +3501class BitwiseRightShift(Binary): +3502 pass 3503 -3504class Div(Binary): -3505 pass -3506 +3504 +3505class BitwiseXor(Binary): +3506 pass 3507 -3508class Overlaps(Binary): -3509 pass -3510 +3508 +3509class Div(Binary): +3510 pass 3511 -3512class Dot(Binary): -3513 @property -3514 def name(self) -> str: -3515 return self.expression.name +3512 +3513class Overlaps(Binary): +3514 pass +3515 3516 -3517 @property -3518 def output_name(self) -> str: -3519 return self.name -3520 -3521 @classmethod -3522 def build(self, expressions: t.Sequence[Expression]) -> Dot: -3523 """Build a Dot object with a sequence of expressions.""" -3524 if len(expressions) < 2: -3525 raise ValueError(f"Dot requires >= 2 expressions.") -3526 -3527 a, b, *expressions = expressions -3528 dot = Dot(this=a, expression=b) -3529 -3530 for expression in expressions: -3531 dot = Dot(this=dot, expression=expression) -3532 -3533 return dot +3517class Dot(Binary): +3518 @property +3519 def name(self) -> str: +3520 return self.expression.name +3521 +3522 @property +3523 def output_name(self) -> str: +3524 return self.name +3525 +3526 @classmethod +3527 def build(self, expressions: t.Sequence[Expression]) -> Dot: +3528 """Build a Dot object with a sequence of expressions.""" +3529 if len(expressions) < 2: +3530 raise ValueError(f"Dot requires >= 2 expressions.") +3531 +3532 a, b, *expressions = expressions +3533 dot = Dot(this=a, expression=b) 3534 -3535 -3536class DPipe(Binary): -3537 pass -3538 +3535 for expression in expressions: +3536 dot = Dot(this=dot, expression=expression) +3537 +3538 return dot 3539 -3540class SafeDPipe(DPipe): -3541 pass -3542 +3540 +3541class DPipe(Binary): +3542 pass 3543 -3544class EQ(Binary, Predicate): -3545 pass -3546 +3544 +3545class SafeDPipe(DPipe): +3546 pass 3547 -3548class NullSafeEQ(Binary, Predicate): -3549 pass -3550 +3548 +3549class EQ(Binary, Predicate): +3550 pass 3551 -3552class NullSafeNEQ(Binary, Predicate): -3553 pass -3554 +3552 +3553class NullSafeEQ(Binary, Predicate): +3554 pass 3555 -3556class Distance(Binary): -3557 pass -3558 +3556 +3557class NullSafeNEQ(Binary, Predicate): +3558 pass 3559 -3560class Escape(Binary): -3561 pass -3562 +3560 +3561class Distance(Binary): +3562 pass 3563 -3564class Glob(Binary, Predicate): -3565 pass -3566 +3564 +3565class Escape(Binary): +3566 pass 3567 -3568class GT(Binary, Predicate): -3569 pass -3570 +3568 +3569class Glob(Binary, Predicate): +3570 pass 3571 -3572class GTE(Binary, Predicate): -3573 pass -3574 +3572 +3573class GT(Binary, Predicate): +3574 pass 3575 -3576class ILike(Binary, Predicate): -3577 pass -3578 +3576 +3577class GTE(Binary, Predicate): +3578 pass 3579 -3580class ILikeAny(Binary, Predicate): -3581 pass -3582 +3580 +3581class ILike(Binary, Predicate): +3582 pass 3583 -3584class IntDiv(Binary): -3585 pass -3586 +3584 +3585class ILikeAny(Binary, Predicate): +3586 pass 3587 -3588class Is(Binary, Predicate): -3589 pass -3590 +3588 +3589class IntDiv(Binary): +3590 pass 3591 -3592class Kwarg(Binary): -3593 """Kwarg in special functions like func(kwarg => y).""" -3594 +3592 +3593class Is(Binary, Predicate): +3594 pass 3595 -3596class Like(Binary, Predicate): -3597 pass -3598 +3596 +3597class Kwarg(Binary): +3598 """Kwarg in special functions like func(kwarg => y).""" 3599 -3600class LikeAny(Binary, Predicate): -3601 pass -3602 +3600 +3601class Like(Binary, Predicate): +3602 pass 3603 -3604class LT(Binary, Predicate): -3605 pass -3606 +3604 +3605class LikeAny(Binary, Predicate): +3606 pass 3607 -3608class LTE(Binary, Predicate): -3609 pass -3610 +3608 +3609class LT(Binary, Predicate): +3610 pass 3611 -3612class Mod(Binary): -3613 pass -3614 +3612 +3613class LTE(Binary, Predicate): +3614 pass 3615 -3616class Mul(Binary): -3617 pass -3618 +3616 +3617class Mod(Binary): +3618 pass 3619 -3620class NEQ(Binary, Predicate): -3621 pass -3622 +3620 +3621class Mul(Binary): +3622 pass 3623 -3624class SimilarTo(Binary, Predicate): -3625 pass -3626 +3624 +3625class NEQ(Binary, Predicate): +3626 pass 3627 -3628class Slice(Binary): -3629 arg_types = {"this": False, "expression": False} -3630 +3628 +3629class SimilarTo(Binary, Predicate): +3630 pass 3631 -3632class Sub(Binary): -3633 pass -3634 +3632 +3633class Slice(Binary): +3634 arg_types = {"this": False, "expression": False} 3635 -3636class ArrayOverlaps(Binary): -3637 pass -3638 +3636 +3637class Sub(Binary): +3638 pass 3639 -3640# Unary Expressions -3641# (NOT a) -3642class Unary(Condition): -3643 pass +3640 +3641class ArrayOverlaps(Binary): +3642 pass +3643 3644 -3645 -3646class BitwiseNot(Unary): -3647 pass -3648 +3645# Unary Expressions +3646# (NOT a) +3647class Unary(Condition): +3648 pass 3649 -3650class Not(Unary): -3651 pass -3652 +3650 +3651class BitwiseNot(Unary): +3652 pass 3653 -3654class Paren(Unary): -3655 arg_types = {"this": True, "with": False} -3656 -3657 @property -3658 def output_name(self) -> str: -3659 return self.this.name -3660 +3654 +3655class Not(Unary): +3656 pass +3657 +3658 +3659class Paren(Unary): +3660 arg_types = {"this": True, "with": False} 3661 -3662class Neg(Unary): -3663 pass -3664 +3662 @property +3663 def output_name(self) -> str: +3664 return self.this.name 3665 -3666class Alias(Expression): -3667 arg_types = {"this": True, "alias": False} -3668 -3669 @property -3670 def output_name(self) -> str: -3671 return self.alias -3672 +3666 +3667class Neg(Unary): +3668 pass +3669 +3670 +3671class Alias(Expression): +3672 arg_types = {"this": True, "alias": False} 3673 -3674class Aliases(Expression): -3675 arg_types = {"this": True, "expressions": True} -3676 -3677 @property -3678 def aliases(self): -3679 return self.expressions -3680 +3674 @property +3675 def output_name(self) -> str: +3676 return self.alias +3677 +3678 +3679class Aliases(Expression): +3680 arg_types = {"this": True, "expressions": True} 3681 -3682class AtTimeZone(Expression): -3683 arg_types = {"this": True, "zone": True} -3684 +3682 @property +3683 def aliases(self): +3684 return self.expressions 3685 -3686class Between(Predicate): -3687 arg_types = {"this": True, "low": True, "high": True} -3688 +3686 +3687class AtTimeZone(Expression): +3688 arg_types = {"this": True, "zone": True} 3689 -3690class Bracket(Condition): -3691 arg_types = {"this": True, "expressions": True} -3692 +3690 +3691class Between(Predicate): +3692 arg_types = {"this": True, "low": True, "high": True} 3693 -3694class Distinct(Expression): -3695 arg_types = {"expressions": False, "on": False} -3696 +3694 +3695class Bracket(Condition): +3696 arg_types = {"this": True, "expressions": True} 3697 -3698class In(Predicate): -3699 arg_types = { -3700 "this": True, -3701 "expressions": False, -3702 "query": False, -3703 "unnest": False, -3704 "field": False, -3705 "is_global": False, -3706 } -3707 -3708 -3709class TimeUnit(Expression): -3710 """Automatically converts unit arg into a var.""" -3711 -3712 arg_types = {"unit": False} +3698 +3699class Distinct(Expression): +3700 arg_types = {"expressions": False, "on": False} +3701 +3702 +3703class In(Predicate): +3704 arg_types = { +3705 "this": True, +3706 "expressions": False, +3707 "query": False, +3708 "unnest": False, +3709 "field": False, +3710 "is_global": False, +3711 } +3712 3713 -3714 def __init__(self, **args): -3715 unit = args.get("unit") -3716 if isinstance(unit, (Column, Literal)): -3717 args["unit"] = Var(this=unit.name) -3718 elif isinstance(unit, Week): -3719 unit.set("this", Var(this=unit.this.name)) -3720 -3721 super().__init__(**args) -3722 -3723 -3724class Interval(TimeUnit): -3725 arg_types = {"this": False, "unit": False} -3726 -3727 @property -3728 def unit(self) -> t.Optional[Var]: -3729 return self.args.get("unit") -3730 +3714class TimeUnit(Expression): +3715 """Automatically converts unit arg into a var.""" +3716 +3717 arg_types = {"unit": False} +3718 +3719 def __init__(self, **args): +3720 unit = args.get("unit") +3721 if isinstance(unit, (Column, Literal)): +3722 args["unit"] = Var(this=unit.name) +3723 elif isinstance(unit, Week): +3724 unit.set("this", Var(this=unit.this.name)) +3725 +3726 super().__init__(**args) +3727 +3728 +3729class Interval(TimeUnit): +3730 arg_types = {"this": False, "unit": False} 3731 -3732class IgnoreNulls(Expression): -3733 pass -3734 +3732 @property +3733 def unit(self) -> t.Optional[Var]: +3734 return self.args.get("unit") 3735 -3736class RespectNulls(Expression): -3737 pass -3738 +3736 +3737class IgnoreNulls(Expression): +3738 pass 3739 -3740# Functions -3741class Func(Condition): -3742 """ -3743 The base class for all function expressions. +3740 +3741class RespectNulls(Expression): +3742 pass +3743 3744 -3745 Attributes: -3746 is_var_len_args (bool): if set to True the last argument defined in arg_types will be -3747 treated as a variable length argument and the argument's value will be stored as a list. -3748 _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items) -3749 for this function expression. These values are used to map this node to a name during parsing -3750 as well as to provide the function's name during SQL string generation. By default the SQL -3751 name is set to the expression's class name transformed to snake case. -3752 """ -3753 -3754 is_var_len_args = False -3755 -3756 @classmethod -3757 def from_arg_list(cls, args): -3758 if cls.is_var_len_args: -3759 all_arg_keys = list(cls.arg_types) -3760 # If this function supports variable length argument treat the last argument as such. -3761 non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys -3762 num_non_var = len(non_var_len_arg_keys) -3763 -3764 args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)} -3765 args_dict[all_arg_keys[-1]] = args[num_non_var:] -3766 else: -3767 args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)} +3745# Functions +3746class Func(Condition): +3747 """ +3748 The base class for all function expressions. +3749 +3750 Attributes: +3751 is_var_len_args (bool): if set to True the last argument defined in arg_types will be +3752 treated as a variable length argument and the argument's value will be stored as a list. +3753 _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items) +3754 for this function expression. These values are used to map this node to a name during parsing +3755 as well as to provide the function's name during SQL string generation. By default the SQL +3756 name is set to the expression's class name transformed to snake case. +3757 """ +3758 +3759 is_var_len_args = False +3760 +3761 @classmethod +3762 def from_arg_list(cls, args): +3763 if cls.is_var_len_args: +3764 all_arg_keys = list(cls.arg_types) +3765 # If this function supports variable length argument treat the last argument as such. +3766 non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys +3767 num_non_var = len(non_var_len_arg_keys) 3768 -3769 return cls(**args_dict) -3770 -3771 @classmethod -3772 def sql_names(cls): -3773 if cls is Func: -3774 raise NotImplementedError( -3775 "SQL name is only supported by concrete function implementations" -3776 ) -3777 if "_sql_names" not in cls.__dict__: -3778 cls._sql_names = [camel_to_snake_case(cls.__name__)] -3779 return cls._sql_names -3780 -3781 @classmethod -3782 def sql_name(cls): -3783 return cls.sql_names()[0] -3784 -3785 @classmethod -3786 def default_parser_mappings(cls): -3787 return {name: cls.from_arg_list for name in cls.sql_names()} -3788 +3769 args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)} +3770 args_dict[all_arg_keys[-1]] = args[num_non_var:] +3771 else: +3772 args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)} +3773 +3774 return cls(**args_dict) +3775 +3776 @classmethod +3777 def sql_names(cls): +3778 if cls is Func: +3779 raise NotImplementedError( +3780 "SQL name is only supported by concrete function implementations" +3781 ) +3782 if "_sql_names" not in cls.__dict__: +3783 cls._sql_names = [camel_to_snake_case(cls.__name__)] +3784 return cls._sql_names +3785 +3786 @classmethod +3787 def sql_name(cls): +3788 return cls.sql_names()[0] 3789 -3790class AggFunc(Func): -3791 pass -3792 +3790 @classmethod +3791 def default_parser_mappings(cls): +3792 return {name: cls.from_arg_list for name in cls.sql_names()} 3793 -3794class ParameterizedAgg(AggFunc): -3795 arg_types = {"this": True, "expressions": True, "params": True} -3796 +3794 +3795class AggFunc(Func): +3796 pass 3797 -3798class Abs(Func): -3799 pass -3800 +3798 +3799class ParameterizedAgg(AggFunc): +3800 arg_types = {"this": True, "expressions": True, "params": True} 3801 -3802class Anonymous(Func): -3803 arg_types = {"this": True, "expressions": False} -3804 is_var_len_args = True +3802 +3803class Abs(Func): +3804 pass 3805 3806 -3807# https://docs.snowflake.com/en/sql-reference/functions/hll -3808# https://docs.aws.amazon.com/redshift/latest/dg/r_HLL_function.html -3809class Hll(AggFunc): -3810 arg_types = {"this": True, "expressions": False} -3811 is_var_len_args = True -3812 -3813 -3814class ApproxDistinct(AggFunc): -3815 arg_types = {"this": True, "accuracy": False} -3816 _sql_names = ["APPROX_DISTINCT", "APPROX_COUNT_DISTINCT"] +3807class Anonymous(Func): +3808 arg_types = {"this": True, "expressions": False} +3809 is_var_len_args = True +3810 +3811 +3812# https://docs.snowflake.com/en/sql-reference/functions/hll +3813# https://docs.aws.amazon.com/redshift/latest/dg/r_HLL_function.html +3814class Hll(AggFunc): +3815 arg_types = {"this": True, "expressions": False} +3816 is_var_len_args = True 3817 3818 -3819class Array(Func): -3820 arg_types = {"expressions": False} -3821 is_var_len_args = True +3819class ApproxDistinct(AggFunc): +3820 arg_types = {"this": True, "accuracy": False} +3821 _sql_names = ["APPROX_DISTINCT", "APPROX_COUNT_DISTINCT"] 3822 3823 -3824# https://docs.snowflake.com/en/sql-reference/functions/to_char -3825class ToChar(Func): -3826 arg_types = {"this": True, "format": False} +3824class Array(Func): +3825 arg_types = {"expressions": False} +3826 is_var_len_args = True 3827 3828 -3829class GenerateSeries(Func): -3830 arg_types = {"start": True, "end": True, "step": False} -3831 +3829# https://docs.snowflake.com/en/sql-reference/functions/to_char +3830class ToChar(Func): +3831 arg_types = {"this": True, "format": False} 3832 -3833class ArrayAgg(AggFunc): -3834 pass -3835 +3833 +3834class GenerateSeries(Func): +3835 arg_types = {"start": True, "end": True, "step": False} 3836 -3837class ArrayAll(Func): -3838 arg_types = {"this": True, "expression": True} -3839 +3837 +3838class ArrayAgg(AggFunc): +3839 pass 3840 -3841class ArrayAny(Func): -3842 arg_types = {"this": True, "expression": True} -3843 +3841 +3842class ArrayAll(Func): +3843 arg_types = {"this": True, "expression": True} 3844 -3845class ArrayConcat(Func): -3846 arg_types = {"this": True, "expressions": False} -3847 is_var_len_args = True +3845 +3846class ArrayAny(Func): +3847 arg_types = {"this": True, "expression": True} 3848 3849 -3850class ArrayContains(Binary, Func): -3851 pass -3852 +3850class ArrayConcat(Func): +3851 arg_types = {"this": True, "expressions": False} +3852 is_var_len_args = True 3853 -3854class ArrayContained(Binary): -3855 pass -3856 +3854 +3855class ArrayContains(Binary, Func): +3856 pass 3857 -3858class ArrayFilter(Func): -3859 arg_types = {"this": True, "expression": True} -3860 _sql_names = ["FILTER", "ARRAY_FILTER"] +3858 +3859class ArrayContained(Binary): +3860 pass 3861 3862 -3863class ArrayJoin(Func): -3864 arg_types = {"this": True, "expression": True, "null": False} -3865 +3863class ArrayFilter(Func): +3864 arg_types = {"this": True, "expression": True} +3865 _sql_names = ["FILTER", "ARRAY_FILTER"] 3866 -3867class ArraySize(Func): -3868 arg_types = {"this": True, "expression": False} -3869 +3867 +3868class ArrayJoin(Func): +3869 arg_types = {"this": True, "expression": True, "null": False} 3870 -3871class ArraySort(Func): -3872 arg_types = {"this": True, "expression": False} -3873 +3871 +3872class ArraySize(Func): +3873 arg_types = {"this": True, "expression": False} 3874 -3875class ArraySum(Func): -3876 pass -3877 +3875 +3876class ArraySort(Func): +3877 arg_types = {"this": True, "expression": False} 3878 -3879class ArrayUnionAgg(AggFunc): -3880 pass -3881 +3879 +3880class ArraySum(Func): +3881 pass 3882 -3883class Avg(AggFunc): -3884 pass -3885 +3883 +3884class ArrayUnionAgg(AggFunc): +3885 pass 3886 -3887class AnyValue(AggFunc): -3888 pass -3889 +3887 +3888class Avg(AggFunc): +3889 pass 3890 -3891class Case(Func): -3892 arg_types = {"this": False, "ifs": True, "default": False} -3893 -3894 def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case: -3895 instance = _maybe_copy(self, copy) -3896 instance.append( -3897 "ifs", -3898 If( -3899 this=maybe_parse(condition, copy=copy, **opts), -3900 true=maybe_parse(then, copy=copy, **opts), -3901 ), -3902 ) -3903 return instance -3904 -3905 def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case: -3906 instance = _maybe_copy(self, copy) -3907 instance.set("default", maybe_parse(condition, copy=copy, **opts)) +3891 +3892class AnyValue(AggFunc): +3893 pass +3894 +3895 +3896class Case(Func): +3897 arg_types = {"this": False, "ifs": True, "default": False} +3898 +3899 def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case: +3900 instance = _maybe_copy(self, copy) +3901 instance.append( +3902 "ifs", +3903 If( +3904 this=maybe_parse(condition, copy=copy, **opts), +3905 true=maybe_parse(then, copy=copy, **opts), +3906 ), +3907 ) 3908 return instance 3909 -3910 -3911class Cast(Func): -3912 arg_types = {"this": True, "to": True} -3913 -3914 @property -3915 def name(self) -> str: -3916 return self.this.name -3917 -3918 @property -3919 def to(self) -> DataType: -3920 return self.args["to"] -3921 -3922 @property -3923 def output_name(self) -> str: -3924 return self.name -3925 -3926 def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool: -3927 return self.to.is_type(*dtypes) -3928 -3929 -3930class CastToStrType(Func): -3931 arg_types = {"this": True, "expression": True} -3932 +3910 def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case: +3911 instance = _maybe_copy(self, copy) +3912 instance.set("default", maybe_parse(condition, copy=copy, **opts)) +3913 return instance +3914 +3915 +3916class Cast(Func): +3917 arg_types = {"this": True, "to": True} +3918 +3919 @property +3920 def name(self) -> str: +3921 return self.this.name +3922 +3923 @property +3924 def to(self) -> DataType: +3925 return self.args["to"] +3926 +3927 @property +3928 def output_name(self) -> str: +3929 return self.name +3930 +3931 def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool: +3932 return self.to.is_type(*dtypes) 3933 -3934class Collate(Binary): -3935 pass -3936 +3934 +3935class CastToStrType(Func): +3936 arg_types = {"this": True, "expression": True} 3937 -3938class TryCast(Cast): -3939 pass -3940 +3938 +3939class Collate(Binary): +3940 pass 3941 -3942class Ceil(Func): -3943 arg_types = {"this": True, "decimals": False} -3944 _sql_names = ["CEIL", "CEILING"] +3942 +3943class TryCast(Cast): +3944 pass 3945 3946 -3947class Coalesce(Func): -3948 arg_types = {"this": True, "expressions": False} -3949 is_var_len_args = True -3950 _sql_names = ["COALESCE", "IFNULL", "NVL"] +3947class Ceil(Func): +3948 arg_types = {"this": True, "decimals": False} +3949 _sql_names = ["CEIL", "CEILING"] +3950 3951 -3952 -3953class Concat(Func): -3954 arg_types = {"expressions": True} -3955 is_var_len_args = True +3952class Coalesce(Func): +3953 arg_types = {"this": True, "expressions": False} +3954 is_var_len_args = True +3955 _sql_names = ["COALESCE", "IFNULL", "NVL"] 3956 3957 -3958class SafeConcat(Concat): -3959 pass -3960 +3958class Concat(Func): +3959 arg_types = {"expressions": True} +3960 is_var_len_args = True 3961 -3962class ConcatWs(Concat): -3963 _sql_names = ["CONCAT_WS"] -3964 +3962 +3963class SafeConcat(Concat): +3964 pass 3965 -3966class Count(AggFunc): -3967 arg_types = {"this": False, "expressions": False} -3968 is_var_len_args = True +3966 +3967class ConcatWs(Concat): +3968 _sql_names = ["CONCAT_WS"] 3969 3970 -3971class CountIf(AggFunc): -3972 pass -3973 +3971class Count(AggFunc): +3972 arg_types = {"this": False, "expressions": False} +3973 is_var_len_args = True 3974 -3975class CurrentDate(Func): -3976 arg_types = {"this": False} -3977 +3975 +3976class CountIf(AggFunc): +3977 pass 3978 -3979class CurrentDatetime(Func): -3980 arg_types = {"this": False} -3981 +3979 +3980class CurrentDate(Func): +3981 arg_types = {"this": False} 3982 -3983class CurrentTime(Func): -3984 arg_types = {"this": False} -3985 +3983 +3984class CurrentDatetime(Func): +3985 arg_types = {"this": False} 3986 -3987class CurrentTimestamp(Func): -3988 arg_types = {"this": False} -3989 +3987 +3988class CurrentTime(Func): +3989 arg_types = {"this": False} 3990 -3991class CurrentUser(Func): -3992 arg_types = {"this": False} -3993 +3991 +3992class CurrentTimestamp(Func): +3993 arg_types = {"this": False} 3994 -3995class DateAdd(Func, TimeUnit): -3996 arg_types = {"this": True, "expression": True, "unit": False} -3997 +3995 +3996class CurrentUser(Func): +3997 arg_types = {"this": False} 3998 -3999class DateSub(Func, TimeUnit): -4000 arg_types = {"this": True, "expression": True, "unit": False} -4001 +3999 +4000class DateAdd(Func, TimeUnit): +4001 arg_types = {"this": True, "expression": True, "unit": False} 4002 -4003class DateDiff(Func, TimeUnit): -4004 _sql_names = ["DATEDIFF", "DATE_DIFF"] +4003 +4004class DateSub(Func, TimeUnit): 4005 arg_types = {"this": True, "expression": True, "unit": False} 4006 4007 -4008class DateTrunc(Func): -4009 arg_types = {"unit": True, "this": True, "zone": False} -4010 +4008class DateDiff(Func, TimeUnit): +4009 _sql_names = ["DATEDIFF", "DATE_DIFF"] +4010 arg_types = {"this": True, "expression": True, "unit": False} 4011 -4012class DatetimeAdd(Func, TimeUnit): -4013 arg_types = {"this": True, "expression": True, "unit": False} -4014 +4012 +4013class DateTrunc(Func): +4014 arg_types = {"unit": True, "this": True, "zone": False} 4015 -4016class DatetimeSub(Func, TimeUnit): -4017 arg_types = {"this": True, "expression": True, "unit": False} -4018 +4016 +4017class DatetimeAdd(Func, TimeUnit): +4018 arg_types = {"this": True, "expression": True, "unit": False} 4019 -4020class DatetimeDiff(Func, TimeUnit): -4021 arg_types = {"this": True, "expression": True, "unit": False} -4022 +4020 +4021class DatetimeSub(Func, TimeUnit): +4022 arg_types = {"this": True, "expression": True, "unit": False} 4023 -4024class DatetimeTrunc(Func, TimeUnit): -4025 arg_types = {"this": True, "unit": True, "zone": False} -4026 +4024 +4025class DatetimeDiff(Func, TimeUnit): +4026 arg_types = {"this": True, "expression": True, "unit": False} 4027 -4028class DayOfWeek(Func): -4029 _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"] -4030 +4028 +4029class DatetimeTrunc(Func, TimeUnit): +4030 arg_types = {"this": True, "unit": True, "zone": False} 4031 -4032class DayOfMonth(Func): -4033 _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"] -4034 +4032 +4033class DayOfWeek(Func): +4034 _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"] 4035 -4036class DayOfYear(Func): -4037 _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"] -4038 +4036 +4037class DayOfMonth(Func): +4038 _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"] 4039 -4040class WeekOfYear(Func): -4041 _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"] -4042 +4040 +4041class DayOfYear(Func): +4042 _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"] 4043 -4044class LastDateOfMonth(Func): -4045 pass -4046 +4044 +4045class WeekOfYear(Func): +4046 _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"] 4047 -4048class Extract(Func): -4049 arg_types = {"this": True, "expression": True} -4050 +4048 +4049class LastDateOfMonth(Func): +4050 pass 4051 -4052class TimestampAdd(Func, TimeUnit): -4053 arg_types = {"this": True, "expression": True, "unit": False} -4054 +4052 +4053class Extract(Func): +4054 arg_types = {"this": True, "expression": True} 4055 -4056class TimestampSub(Func, TimeUnit): -4057 arg_types = {"this": True, "expression": True, "unit": False} -4058 +4056 +4057class TimestampAdd(Func, TimeUnit): +4058 arg_types = {"this": True, "expression": True, "unit": False} 4059 -4060class TimestampDiff(Func, TimeUnit): -4061 arg_types = {"this": True, "expression": True, "unit": False} -4062 +4060 +4061class TimestampSub(Func, TimeUnit): +4062 arg_types = {"this": True, "expression": True, "unit": False} 4063 -4064class TimestampTrunc(Func, TimeUnit): -4065 arg_types = {"this": True, "unit": True, "zone": False} -4066 +4064 +4065class TimestampDiff(Func, TimeUnit): +4066 arg_types = {"this": True, "expression": True, "unit": False} 4067 -4068class TimeAdd(Func, TimeUnit): -4069 arg_types = {"this": True, "expression": True, "unit": False} -4070 +4068 +4069class TimestampTrunc(Func, TimeUnit): +4070 arg_types = {"this": True, "unit": True, "zone": False} 4071 -4072class TimeSub(Func, TimeUnit): -4073 arg_types = {"this": True, "expression": True, "unit": False} -4074 +4072 +4073class TimeAdd(Func, TimeUnit): +4074 arg_types = {"this": True, "expression": True, "unit": False} 4075 -4076class TimeDiff(Func, TimeUnit): -4077 arg_types = {"this": True, "expression": True, "unit": False} -4078 +4076 +4077class TimeSub(Func, TimeUnit): +4078 arg_types = {"this": True, "expression": True, "unit": False} 4079 -4080class TimeTrunc(Func, TimeUnit): -4081 arg_types = {"this": True, "unit": True, "zone": False} -4082 +4080 +4081class TimeDiff(Func, TimeUnit): +4082 arg_types = {"this": True, "expression": True, "unit": False} 4083 -4084class DateFromParts(Func): -4085 _sql_names = ["DATEFROMPARTS"] -4086 arg_types = {"year": True, "month": True, "day": True} +4084 +4085class TimeTrunc(Func, TimeUnit): +4086 arg_types = {"this": True, "unit": True, "zone": False} 4087 4088 -4089class DateStrToDate(Func): -4090 pass -4091 +4089class DateFromParts(Func): +4090 _sql_names = ["DATEFROMPARTS"] +4091 arg_types = {"year": True, "month": True, "day": True} 4092 -4093class DateToDateStr(Func): -4094 pass -4095 +4093 +4094class DateStrToDate(Func): +4095 pass 4096 -4097class DateToDi(Func): -4098 pass -4099 +4097 +4098class DateToDateStr(Func): +4099 pass 4100 -4101class Date(Func): -4102 arg_types = {"expressions": True} -4103 is_var_len_args = True +4101 +4102class DateToDi(Func): +4103 pass 4104 4105 -4106class Day(Func): -4107 pass -4108 +4106class Date(Func): +4107 arg_types = {"expressions": True} +4108 is_var_len_args = True 4109 -4110class Decode(Func): -4111 arg_types = {"this": True, "charset": True, "replace": False} -4112 +4110 +4111class Day(Func): +4112 pass 4113 -4114class DiToDate(Func): -4115 pass -4116 +4114 +4115class Decode(Func): +4116 arg_types = {"this": True, "charset": True, "replace": False} 4117 -4118class Encode(Func): -4119 arg_types = {"this": True, "charset": True} -4120 +4118 +4119class DiToDate(Func): +4120 pass 4121 -4122class Exp(Func): -4123 pass -4124 +4122 +4123class Encode(Func): +4124 arg_types = {"this": True, "charset": True} 4125 -4126class Explode(Func): -4127 pass -4128 +4126 +4127class Exp(Func): +4128 pass 4129 -4130class Floor(Func): -4131 arg_types = {"this": True, "decimals": False} -4132 +4130 +4131class Explode(Func): +4132 pass 4133 -4134class FromBase64(Func): -4135 pass -4136 +4134 +4135class Floor(Func): +4136 arg_types = {"this": True, "decimals": False} 4137 -4138class ToBase64(Func): -4139 pass -4140 +4138 +4139class FromBase64(Func): +4140 pass 4141 -4142class Greatest(Func): -4143 arg_types = {"this": True, "expressions": False} -4144 is_var_len_args = True +4142 +4143class ToBase64(Func): +4144 pass 4145 4146 -4147class GroupConcat(Func): -4148 arg_types = {"this": True, "separator": False} -4149 +4147class Greatest(Func): +4148 arg_types = {"this": True, "expressions": False} +4149 is_var_len_args = True 4150 -4151class Hex(Func): -4152 pass -4153 +4151 +4152class GroupConcat(Func): +4153 arg_types = {"this": True, "separator": False} 4154 -4155class If(Func): -4156 arg_types = {"this": True, "true": True, "false": False} -4157 +4155 +4156class Hex(Func): +4157 pass 4158 -4159class Initcap(Func): -4160 arg_types = {"this": True, "expression": False} -4161 +4159 +4160class If(Func): +4161 arg_types = {"this": True, "true": True, "false": False} 4162 -4163class JSONKeyValue(Expression): -4164 arg_types = {"this": True, "expression": True} -4165 +4163 +4164class Initcap(Func): +4165 arg_types = {"this": True, "expression": False} 4166 -4167class JSONObject(Func): -4168 arg_types = { -4169 "expressions": False, -4170 "null_handling": False, -4171 "unique_keys": False, -4172 "return_type": False, -4173 "format_json": False, -4174 "encoding": False, -4175 } -4176 -4177 -4178class OpenJSONColumnDef(Expression): -4179 arg_types = {"this": True, "kind": True, "path": False, "as_json": False} -4180 +4167 +4168class JSONKeyValue(Expression): +4169 arg_types = {"this": True, "expression": True} +4170 +4171 +4172class JSONObject(Func): +4173 arg_types = { +4174 "expressions": False, +4175 "null_handling": False, +4176 "unique_keys": False, +4177 "return_type": False, +4178 "format_json": False, +4179 "encoding": False, +4180 } 4181 -4182class OpenJSON(Func): -4183 arg_types = {"this": True, "path": False, "expressions": False} -4184 +4182 +4183class OpenJSONColumnDef(Expression): +4184 arg_types = {"this": True, "kind": True, "path": False, "as_json": False} 4185 -4186class JSONBContains(Binary): -4187 _sql_names = ["JSONB_CONTAINS"] -4188 +4186 +4187class OpenJSON(Func): +4188 arg_types = {"this": True, "path": False, "expressions": False} 4189 -4190class JSONExtract(Binary, Func): -4191 _sql_names = ["JSON_EXTRACT"] -4192 +4190 +4191class JSONBContains(Binary): +4192 _sql_names = ["JSONB_CONTAINS"] 4193 -4194class JSONExtractScalar(JSONExtract): -4195 _sql_names = ["JSON_EXTRACT_SCALAR"] -4196 +4194 +4195class JSONExtract(Binary, Func): +4196 _sql_names = ["JSON_EXTRACT"] 4197 -4198class JSONBExtract(JSONExtract): -4199 _sql_names = ["JSONB_EXTRACT"] -4200 +4198 +4199class JSONExtractScalar(JSONExtract): +4200 _sql_names = ["JSON_EXTRACT_SCALAR"] 4201 -4202class JSONBExtractScalar(JSONExtract): -4203 _sql_names = ["JSONB_EXTRACT_SCALAR"] -4204 +4202 +4203class JSONBExtract(JSONExtract): +4204 _sql_names = ["JSONB_EXTRACT"] 4205 -4206class JSONFormat(Func): -4207 arg_types = {"this": False, "options": False} -4208 _sql_names = ["JSON_FORMAT"] +4206 +4207class JSONBExtractScalar(JSONExtract): +4208 _sql_names = ["JSONB_EXTRACT_SCALAR"] 4209 4210 -4211class Least(Func): -4212 arg_types = {"expressions": False} -4213 is_var_len_args = True +4211class JSONFormat(Func): +4212 arg_types = {"this": False, "options": False} +4213 _sql_names = ["JSON_FORMAT"] 4214 4215 -4216class Left(Func): -4217 arg_types = {"this": True, "expression": True} -4218 +4216class Least(Func): +4217 arg_types = {"expressions": False} +4218 is_var_len_args = True 4219 -4220class Right(Func): -4221 arg_types = {"this": True, "expression": True} -4222 +4220 +4221class Left(Func): +4222 arg_types = {"this": True, "expression": True} 4223 -4224class Length(Func): -4225 _sql_names = ["LENGTH", "LEN"] -4226 +4224 +4225class Right(Func): +4226 arg_types = {"this": True, "expression": True} 4227 -4228class Levenshtein(Func): -4229 arg_types = { -4230 "this": True, -4231 "expression": False, -4232 "ins_cost": False, -4233 "del_cost": False, -4234 "sub_cost": False, -4235 } -4236 -4237 -4238class Ln(Func): -4239 pass -4240 +4228 +4229class Length(Func): +4230 _sql_names = ["LENGTH", "LEN"] +4231 +4232 +4233class Levenshtein(Func): +4234 arg_types = { +4235 "this": True, +4236 "expression": False, +4237 "ins_cost": False, +4238 "del_cost": False, +4239 "sub_cost": False, +4240 } 4241 -4242class Log(Func): -4243 arg_types = {"this": True, "expression": False} -4244 +4242 +4243class Ln(Func): +4244 pass 4245 -4246class Log2(Func): -4247 pass -4248 +4246 +4247class Log(Func): +4248 arg_types = {"this": True, "expression": False} 4249 -4250class Log10(Func): -4251 pass -4252 +4250 +4251class Log2(Func): +4252 pass 4253 -4254class LogicalOr(AggFunc): -4255 _sql_names = ["LOGICAL_OR", "BOOL_OR", "BOOLOR_AGG"] -4256 +4254 +4255class Log10(Func): +4256 pass 4257 -4258class LogicalAnd(AggFunc): -4259 _sql_names = ["LOGICAL_AND", "BOOL_AND", "BOOLAND_AGG"] -4260 +4258 +4259class LogicalOr(AggFunc): +4260 _sql_names = ["LOGICAL_OR", "BOOL_OR", "BOOLOR_AGG"] 4261 -4262class Lower(Func): -4263 _sql_names = ["LOWER", "LCASE"] -4264 +4262 +4263class LogicalAnd(AggFunc): +4264 _sql_names = ["LOGICAL_AND", "BOOL_AND", "BOOLAND_AGG"] 4265 -4266class Map(Func): -4267 arg_types = {"keys": False, "values": False} -4268 +4266 +4267class Lower(Func): +4268 _sql_names = ["LOWER", "LCASE"] 4269 -4270class StarMap(Func): -4271 pass -4272 +4270 +4271class Map(Func): +4272 arg_types = {"keys": False, "values": False} 4273 -4274class VarMap(Func): -4275 arg_types = {"keys": True, "values": True} -4276 is_var_len_args = True +4274 +4275class StarMap(Func): +4276 pass 4277 -4278 @property -4279 def keys(self) -> t.List[Expression]: -4280 return self.args["keys"].expressions -4281 -4282 @property -4283 def values(self) -> t.List[Expression]: -4284 return self.args["values"].expressions -4285 +4278 +4279class VarMap(Func): +4280 arg_types = {"keys": True, "values": True} +4281 is_var_len_args = True +4282 +4283 @property +4284 def keys(self) -> t.List[Expression]: +4285 return self.args["keys"].expressions 4286 -4287# https://dev.mysql.com/doc/refman/8.0/en/fulltext-search.html -4288class MatchAgainst(Func): -4289 arg_types = {"this": True, "expressions": True, "modifier": False} +4287 @property +4288 def values(self) -> t.List[Expression]: +4289 return self.args["values"].expressions 4290 4291 -4292class Max(AggFunc): -4293 arg_types = {"this": True, "expressions": False} -4294 is_var_len_args = True +4292# https://dev.mysql.com/doc/refman/8.0/en/fulltext-search.html +4293class MatchAgainst(Func): +4294 arg_types = {"this": True, "expressions": True, "modifier": False} 4295 4296 -4297class MD5(Func): -4298 _sql_names = ["MD5"] -4299 +4297class Max(AggFunc): +4298 arg_types = {"this": True, "expressions": False} +4299 is_var_len_args = True 4300 -4301class Min(AggFunc): -4302 arg_types = {"this": True, "expressions": False} -4303 is_var_len_args = True +4301 +4302class MD5(Func): +4303 _sql_names = ["MD5"] 4304 4305 -4306class Month(Func): -4307 pass -4308 +4306class Min(AggFunc): +4307 arg_types = {"this": True, "expressions": False} +4308 is_var_len_args = True 4309 -4310class Nvl2(Func): -4311 arg_types = {"this": True, "true": True, "false": False} -4312 +4310 +4311class Month(Func): +4312 pass 4313 -4314class Posexplode(Func): -4315 pass -4316 +4314 +4315class Nvl2(Func): +4316 arg_types = {"this": True, "true": True, "false": False} 4317 -4318class Pow(Binary, Func): -4319 _sql_names = ["POWER", "POW"] -4320 +4318 +4319class Posexplode(Func): +4320 pass 4321 -4322class PercentileCont(AggFunc): -4323 arg_types = {"this": True, "expression": False} -4324 +4322 +4323class Pow(Binary, Func): +4324 _sql_names = ["POWER", "POW"] 4325 -4326class PercentileDisc(AggFunc): -4327 arg_types = {"this": True, "expression": False} -4328 +4326 +4327class PercentileCont(AggFunc): +4328 arg_types = {"this": True, "expression": False} 4329 -4330class Quantile(AggFunc): -4331 arg_types = {"this": True, "quantile": True} -4332 +4330 +4331class PercentileDisc(AggFunc): +4332 arg_types = {"this": True, "expression": False} 4333 -4334class ApproxQuantile(Quantile): -4335 arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False} -4336 +4334 +4335class Quantile(AggFunc): +4336 arg_types = {"this": True, "quantile": True} 4337 -4338class RangeN(Func): -4339 arg_types = {"this": True, "expressions": True, "each": False} -4340 +4338 +4339class ApproxQuantile(Quantile): +4340 arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False} 4341 -4342class ReadCSV(Func): -4343 _sql_names = ["READ_CSV"] -4344 is_var_len_args = True -4345 arg_types = {"this": True, "expressions": False} +4342 +4343class RangeN(Func): +4344 arg_types = {"this": True, "expressions": True, "each": False} +4345 4346 -4347 -4348class Reduce(Func): -4349 arg_types = {"this": True, "initial": True, "merge": True, "finish": False} -4350 +4347class ReadCSV(Func): +4348 _sql_names = ["READ_CSV"] +4349 is_var_len_args = True +4350 arg_types = {"this": True, "expressions": False} 4351 -4352class RegexpExtract(Func): -4353 arg_types = { -4354 "this": True, -4355 "expression": True, -4356 "position": False, -4357 "occurrence": False, -4358 "group": False, -4359 } -4360 -4361 -4362class RegexpLike(Func): -4363 arg_types = {"this": True, "expression": True, "flag": False} -4364 +4352 +4353class Reduce(Func): +4354 arg_types = {"this": True, "initial": True, "merge": True, "finish": False} +4355 +4356 +4357class RegexpExtract(Func): +4358 arg_types = { +4359 "this": True, +4360 "expression": True, +4361 "position": False, +4362 "occurrence": False, +4363 "group": False, +4364 } 4365 -4366class RegexpILike(Func): -4367 arg_types = {"this": True, "expression": True, "flag": False} -4368 +4366 +4367class RegexpLike(Func): +4368 arg_types = {"this": True, "expression": True, "flag": False} 4369 -4370# https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.functions.split.html -4371# limit is the number of times a pattern is applied -4372class RegexpSplit(Func): -4373 arg_types = {"this": True, "expression": True, "limit": False} +4370 +4371class RegexpILike(Func): +4372 arg_types = {"this": True, "expression": True, "flag": False} +4373 4374 -4375 -4376class Repeat(Func): -4377 arg_types = {"this": True, "times": True} -4378 +4375# https://spark.apache.org/docs/latest/api/python/reference/pyspark.sql/api/pyspark.sql.functions.split.html +4376# limit is the number of times a pattern is applied +4377class RegexpSplit(Func): +4378 arg_types = {"this": True, "expression": True, "limit": False} 4379 -4380class Round(Func): -4381 arg_types = {"this": True, "decimals": False} -4382 +4380 +4381class Repeat(Func): +4382 arg_types = {"this": True, "times": True} 4383 -4384class RowNumber(Func): -4385 arg_types: t.Dict[str, t.Any] = {} -4386 +4384 +4385class Round(Func): +4386 arg_types = {"this": True, "decimals": False} 4387 -4388class SafeDivide(Func): -4389 arg_types = {"this": True, "expression": True} -4390 +4388 +4389class RowNumber(Func): +4390 arg_types: t.Dict[str, t.Any] = {} 4391 -4392class SetAgg(AggFunc): -4393 pass -4394 +4392 +4393class SafeDivide(Func): +4394 arg_types = {"this": True, "expression": True} 4395 -4396class SHA(Func): -4397 _sql_names = ["SHA", "SHA1"] -4398 +4396 +4397class SetAgg(AggFunc): +4398 pass 4399 -4400class SHA2(Func): -4401 _sql_names = ["SHA2"] -4402 arg_types = {"this": True, "length": False} +4400 +4401class SHA(Func): +4402 _sql_names = ["SHA", "SHA1"] 4403 4404 -4405class SortArray(Func): -4406 arg_types = {"this": True, "asc": False} -4407 +4405class SHA2(Func): +4406 _sql_names = ["SHA2"] +4407 arg_types = {"this": True, "length": False} 4408 -4409class Split(Func): -4410 arg_types = {"this": True, "expression": True, "limit": False} -4411 +4409 +4410class SortArray(Func): +4411 arg_types = {"this": True, "asc": False} 4412 -4413# Start may be omitted in the case of postgres -4414# https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6 -4415class Substring(Func): -4416 arg_types = {"this": True, "start": False, "length": False} +4413 +4414class Split(Func): +4415 arg_types = {"this": True, "expression": True, "limit": False} +4416 4417 -4418 -4419class StandardHash(Func): -4420 arg_types = {"this": True, "expression": False} -4421 +4418# Start may be omitted in the case of postgres +4419# https://www.postgresql.org/docs/9.1/functions-string.html @ Table 9-6 +4420class Substring(Func): +4421 arg_types = {"this": True, "start": False, "length": False} 4422 -4423class StrPosition(Func): -4424 arg_types = { -4425 "this": True, -4426 "substr": True, -4427 "position": False, -4428 "instance": False, -4429 } -4430 -4431 -4432class StrToDate(Func): -4433 arg_types = {"this": True, "format": True} -4434 +4423 +4424class StandardHash(Func): +4425 arg_types = {"this": True, "expression": False} +4426 +4427 +4428class StrPosition(Func): +4429 arg_types = { +4430 "this": True, +4431 "substr": True, +4432 "position": False, +4433 "instance": False, +4434 } 4435 -4436class StrToTime(Func): -4437 arg_types = {"this": True, "format": True} -4438 +4436 +4437class StrToDate(Func): +4438 arg_types = {"this": True, "format": True} 4439 -4440# Spark allows unix_timestamp() -4441# https://spark.apache.org/docs/3.1.3/api/python/reference/api/pyspark.sql.functions.unix_timestamp.html -4442class StrToUnix(Func): -4443 arg_types = {"this": False, "format": False} +4440 +4441class StrToTime(Func): +4442 arg_types = {"this": True, "format": True} +4443 4444 -4445 -4446class NumberToStr(Func): -4447 arg_types = {"this": True, "format": True} -4448 +4445# Spark allows unix_timestamp() +4446# https://spark.apache.org/docs/3.1.3/api/python/reference/api/pyspark.sql.functions.unix_timestamp.html +4447class StrToUnix(Func): +4448 arg_types = {"this": False, "format": False} 4449 -4450class FromBase(Func): -4451 arg_types = {"this": True, "expression": True} -4452 +4450 +4451class NumberToStr(Func): +4452 arg_types = {"this": True, "format": True} 4453 -4454class Struct(Func): -4455 arg_types = {"expressions": True} -4456 is_var_len_args = True +4454 +4455class FromBase(Func): +4456 arg_types = {"this": True, "expression": True} 4457 4458 -4459class StructExtract(Func): -4460 arg_types = {"this": True, "expression": True} -4461 +4459class Struct(Func): +4460 arg_types = {"expressions": True} +4461 is_var_len_args = True 4462 -4463class Sum(AggFunc): -4464 pass -4465 +4463 +4464class StructExtract(Func): +4465 arg_types = {"this": True, "expression": True} 4466 -4467class Sqrt(Func): -4468 pass -4469 +4467 +4468class Sum(AggFunc): +4469 pass 4470 -4471class Stddev(AggFunc): -4472 pass -4473 +4471 +4472class Sqrt(Func): +4473 pass 4474 -4475class StddevPop(AggFunc): -4476 pass -4477 +4475 +4476class Stddev(AggFunc): +4477 pass 4478 -4479class StddevSamp(AggFunc): -4480 pass -4481 +4479 +4480class StddevPop(AggFunc): +4481 pass 4482 -4483class TimeToStr(Func): -4484 arg_types = {"this": True, "format": True} -4485 +4483 +4484class StddevSamp(AggFunc): +4485 pass 4486 -4487class TimeToTimeStr(Func): -4488 pass -4489 +4487 +4488class TimeToStr(Func): +4489 arg_types = {"this": True, "format": True} 4490 -4491class TimeToUnix(Func): -4492 pass -4493 +4491 +4492class TimeToTimeStr(Func): +4493 pass 4494 -4495class TimeStrToDate(Func): -4496 pass -4497 +4495 +4496class TimeToUnix(Func): +4497 pass 4498 -4499class TimeStrToTime(Func): -4500 pass -4501 +4499 +4500class TimeStrToDate(Func): +4501 pass 4502 -4503class TimeStrToUnix(Func): -4504 pass -4505 +4503 +4504class TimeStrToTime(Func): +4505 pass 4506 -4507class Trim(Func): -4508 arg_types = { -4509 "this": True, -4510 "expression": False, -4511 "position": False, -4512 "collation": False, -4513 } -4514 -4515 -4516class TsOrDsAdd(Func, TimeUnit): -4517 arg_types = {"this": True, "expression": True, "unit": False} -4518 +4507 +4508class TimeStrToUnix(Func): +4509 pass +4510 +4511 +4512class Trim(Func): +4513 arg_types = { +4514 "this": True, +4515 "expression": False, +4516 "position": False, +4517 "collation": False, +4518 } 4519 -4520class TsOrDsToDateStr(Func): -4521 pass -4522 +4520 +4521class TsOrDsAdd(Func, TimeUnit): +4522 arg_types = {"this": True, "expression": True, "unit": False} 4523 -4524class TsOrDsToDate(Func): -4525 arg_types = {"this": True, "format": False} -4526 +4524 +4525class TsOrDsToDateStr(Func): +4526 pass 4527 -4528class TsOrDiToDi(Func): -4529 pass -4530 +4528 +4529class TsOrDsToDate(Func): +4530 arg_types = {"this": True, "format": False} 4531 -4532class Unhex(Func): -4533 pass -4534 +4532 +4533class TsOrDiToDi(Func): +4534 pass 4535 -4536class UnixToStr(Func): -4537 arg_types = {"this": True, "format": False} -4538 +4536 +4537class Unhex(Func): +4538 pass 4539 -4540# https://prestodb.io/docs/current/functions/datetime.html -4541# presto has weird zone/hours/minutes -4542class UnixToTime(Func): -4543 arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False} +4540 +4541class UnixToStr(Func): +4542 arg_types = {"this": True, "format": False} +4543 4544 -4545 SECONDS = Literal.string("seconds") -4546 MILLIS = Literal.string("millis") -4547 MICROS = Literal.string("micros") -4548 +4545# https://prestodb.io/docs/current/functions/datetime.html +4546# presto has weird zone/hours/minutes +4547class UnixToTime(Func): +4548 arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False} 4549 -4550class UnixToTimeStr(Func): -4551 pass -4552 +4550 SECONDS = Literal.string("seconds") +4551 MILLIS = Literal.string("millis") +4552 MICROS = Literal.string("micros") 4553 -4554class Upper(Func): -4555 _sql_names = ["UPPER", "UCASE"] -4556 +4554 +4555class UnixToTimeStr(Func): +4556 pass 4557 -4558class Variance(AggFunc): -4559 _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"] -4560 +4558 +4559class Upper(Func): +4560 _sql_names = ["UPPER", "UCASE"] 4561 -4562class VariancePop(AggFunc): -4563 _sql_names = ["VARIANCE_POP", "VAR_POP"] -4564 +4562 +4563class Variance(AggFunc): +4564 _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"] 4565 -4566class Week(Func): -4567 arg_types = {"this": True, "mode": False} -4568 +4566 +4567class VariancePop(AggFunc): +4568 _sql_names = ["VARIANCE_POP", "VAR_POP"] 4569 -4570class XMLTable(Func): -4571 arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False} -4572 +4570 +4571class Week(Func): +4572 arg_types = {"this": True, "mode": False} 4573 -4574class Year(Func): -4575 pass -4576 +4574 +4575class XMLTable(Func): +4576 arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False} 4577 -4578class Use(Expression): -4579 arg_types = {"this": True, "kind": False} -4580 +4578 +4579class Year(Func): +4580 pass 4581 -4582class Merge(Expression): -4583 arg_types = {"this": True, "using": True, "on": True, "expressions": True} -4584 +4582 +4583class Use(Expression): +4584 arg_types = {"this": True, "kind": False} 4585 -4586class When(Func): -4587 arg_types = {"matched": True, "source": False, "condition": False, "then": True} -4588 +4586 +4587class Merge(Expression): +4588 arg_types = {"this": True, "using": True, "on": True, "expressions": True} 4589 -4590# https://docs.oracle.com/javadb/10.8.3.0/ref/rrefsqljnextvaluefor.html -4591# https://learn.microsoft.com/en-us/sql/t-sql/functions/next-value-for-transact-sql?view=sql-server-ver16 -4592class NextValueFor(Func): -4593 arg_types = {"this": True, "order": False} +4590 +4591class When(Func): +4592 arg_types = {"matched": True, "source": False, "condition": False, "then": True} +4593 4594 -4595 -4596def _norm_arg(arg): -4597 return arg.lower() if type(arg) is str else arg -4598 +4595# https://docs.oracle.com/javadb/10.8.3.0/ref/rrefsqljnextvaluefor.html +4596# https://learn.microsoft.com/en-us/sql/t-sql/functions/next-value-for-transact-sql?view=sql-server-ver16 +4597class NextValueFor(Func): +4598 arg_types = {"this": True, "order": False} 4599 -4600ALL_FUNCTIONS = subclasses(__name__, Func, (AggFunc, Anonymous, Func)) -4601 -4602 -4603# Helpers -4604@t.overload -4605def maybe_parse( -4606 sql_or_expression: ExpOrStr, -4607 *, -4608 into: t.Type[E], -4609 dialect: DialectType = None, -4610 prefix: t.Optional[str] = None, -4611 copy: bool = False, -4612 **opts, -4613) -> E: -4614 ... -4615 -4616 -4617@t.overload -4618def maybe_parse( -4619 sql_or_expression: str | E, -4620 *, -4621 into: t.Optional[IntoType] = None, -4622 dialect: DialectType = None, -4623 prefix: t.Optional[str] = None, -4624 copy: bool = False, -4625 **opts, -4626) -> E: -4627 ... -4628 -4629 -4630def maybe_parse( -4631 sql_or_expression: ExpOrStr, -4632 *, -4633 into: t.Optional[IntoType] = None, -4634 dialect: DialectType = None, -4635 prefix: t.Optional[str] = None, -4636 copy: bool = False, -4637 **opts, -4638) -> Expression: -4639 """Gracefully handle a possible string or expression. -4640 -4641 Example: -4642 >>> maybe_parse("1") -4643 (LITERAL this: 1, is_string: False) -4644 >>> maybe_parse(to_identifier("x")) -4645 (IDENTIFIER this: x, quoted: False) -4646 -4647 Args: -4648 sql_or_expression: the SQL code string or an expression -4649 into: the SQLGlot Expression to parse into -4650 dialect: the dialect used to parse the input expressions (in the case that an -4651 input expression is a SQL string). -4652 prefix: a string to prefix the sql with before it gets parsed -4653 (automatically includes a space) -4654 copy: whether or not to copy the expression. -4655 **opts: other options to use to parse the input expressions (again, in the case -4656 that an input expression is a SQL string). -4657 -4658 Returns: -4659 Expression: the parsed or given expression. -4660 """ -4661 if isinstance(sql_or_expression, Expression): -4662 if copy: -4663 return sql_or_expression.copy() -4664 return sql_or_expression -4665 -4666 if sql_or_expression is None: -4667 raise ParseError(f"SQL cannot be None") -4668 -4669 import sqlglot +4600 +4601def _norm_arg(arg): +4602 return arg.lower() if type(arg) is str else arg +4603 +4604 +4605ALL_FUNCTIONS = subclasses(__name__, Func, (AggFunc, Anonymous, Func)) +4606 +4607 +4608# Helpers +4609@t.overload +4610def maybe_parse( +4611 sql_or_expression: ExpOrStr, +4612 *, +4613 into: t.Type[E], +4614 dialect: DialectType = None, +4615 prefix: t.Optional[str] = None, +4616 copy: bool = False, +4617 **opts, +4618) -> E: +4619 ... +4620 +4621 +4622@t.overload +4623def maybe_parse( +4624 sql_or_expression: str | E, +4625 *, +4626 into: t.Optional[IntoType] = None, +4627 dialect: DialectType = None, +4628 prefix: t.Optional[str] = None, +4629 copy: bool = False, +4630 **opts, +4631) -> E: +4632 ... +4633 +4634 +4635def maybe_parse( +4636 sql_or_expression: ExpOrStr, +4637 *, +4638 into: t.Optional[IntoType] = None, +4639 dialect: DialectType = None, +4640 prefix: t.Optional[str] = None, +4641 copy: bool = False, +4642 **opts, +4643) -> Expression: +4644 """Gracefully handle a possible string or expression. +4645 +4646 Example: +4647 >>> maybe_parse("1") +4648 (LITERAL this: 1, is_string: False) +4649 >>> maybe_parse(to_identifier("x")) +4650 (IDENTIFIER this: x, quoted: False) +4651 +4652 Args: +4653 sql_or_expression: the SQL code string or an expression +4654 into: the SQLGlot Expression to parse into +4655 dialect: the dialect used to parse the input expressions (in the case that an +4656 input expression is a SQL string). +4657 prefix: a string to prefix the sql with before it gets parsed +4658 (automatically includes a space) +4659 copy: whether or not to copy the expression. +4660 **opts: other options to use to parse the input expressions (again, in the case +4661 that an input expression is a SQL string). +4662 +4663 Returns: +4664 Expression: the parsed or given expression. +4665 """ +4666 if isinstance(sql_or_expression, Expression): +4667 if copy: +4668 return sql_or_expression.copy() +4669 return sql_or_expression 4670 -4671 sql = str(sql_or_expression) -4672 if prefix: -4673 sql = f"{prefix} {sql}" -4674 -4675 return sqlglot.parse_one(sql, read=dialect, into=into, **opts) -4676 -4677 -4678def _maybe_copy(instance: E, copy: bool = True) -> E: -4679 return instance.copy() if copy else instance -4680 +4671 if sql_or_expression is None: +4672 raise ParseError(f"SQL cannot be None") +4673 +4674 import sqlglot +4675 +4676 sql = str(sql_or_expression) +4677 if prefix: +4678 sql = f"{prefix} {sql}" +4679 +4680 return sqlglot.parse_one(sql, read=dialect, into=into, **opts) 4681 -4682def _is_wrong_expression(expression, into): -4683 return isinstance(expression, Expression) and not isinstance(expression, into) -4684 +4682 +4683def _maybe_copy(instance: E, copy: bool = True) -> E: +4684 return instance.copy() if copy else instance 4685 -4686def _apply_builder( -4687 expression, -4688 instance, -4689 arg, -4690 copy=True, -4691 prefix=None, -4692 into=None, -4693 dialect=None, -4694 **opts, -4695): -4696 if _is_wrong_expression(expression, into): -4697 expression = into(this=expression) -4698 instance = _maybe_copy(instance, copy) -4699 expression = maybe_parse( -4700 sql_or_expression=expression, -4701 prefix=prefix, -4702 into=into, -4703 dialect=dialect, -4704 **opts, -4705 ) -4706 instance.set(arg, expression) -4707 return instance -4708 -4709 -4710def _apply_child_list_builder( -4711 *expressions, -4712 instance, -4713 arg, -4714 append=True, -4715 copy=True, -4716 prefix=None, -4717 into=None, -4718 dialect=None, -4719 properties=None, -4720 **opts, -4721): -4722 instance = _maybe_copy(instance, copy) -4723 parsed = [] -4724 for expression in expressions: -4725 if expression is not None: -4726 if _is_wrong_expression(expression, into): -4727 expression = into(expressions=[expression]) -4728 -4729 expression = maybe_parse( -4730 expression, -4731 into=into, -4732 dialect=dialect, -4733 prefix=prefix, -4734 **opts, -4735 ) -4736 parsed.extend(expression.expressions) -4737 -4738 existing = instance.args.get(arg) -4739 if append and existing: -4740 parsed = existing.expressions + parsed -4741 -4742 child = into(expressions=parsed) -4743 for k, v in (properties or {}).items(): -4744 child.set(k, v) -4745 instance.set(arg, child) +4686 +4687def _is_wrong_expression(expression, into): +4688 return isinstance(expression, Expression) and not isinstance(expression, into) +4689 +4690 +4691def _apply_builder( +4692 expression, +4693 instance, +4694 arg, +4695 copy=True, +4696 prefix=None, +4697 into=None, +4698 dialect=None, +4699 **opts, +4700): +4701 if _is_wrong_expression(expression, into): +4702 expression = into(this=expression) +4703 instance = _maybe_copy(instance, copy) +4704 expression = maybe_parse( +4705 sql_or_expression=expression, +4706 prefix=prefix, +4707 into=into, +4708 dialect=dialect, +4709 **opts, +4710 ) +4711 instance.set(arg, expression) +4712 return instance +4713 +4714 +4715def _apply_child_list_builder( +4716 *expressions, +4717 instance, +4718 arg, +4719 append=True, +4720 copy=True, +4721 prefix=None, +4722 into=None, +4723 dialect=None, +4724 properties=None, +4725 **opts, +4726): +4727 instance = _maybe_copy(instance, copy) +4728 parsed = [] +4729 for expression in expressions: +4730 if expression is not None: +4731 if _is_wrong_expression(expression, into): +4732 expression = into(expressions=[expression]) +4733 +4734 expression = maybe_parse( +4735 expression, +4736 into=into, +4737 dialect=dialect, +4738 prefix=prefix, +4739 **opts, +4740 ) +4741 parsed.extend(expression.expressions) +4742 +4743 existing = instance.args.get(arg) +4744 if append and existing: +4745 parsed = existing.expressions + parsed 4746 -4747 return instance -4748 -4749 -4750def _apply_list_builder( -4751 *expressions, -4752 instance, -4753 arg, -4754 append=True, -4755 copy=True, -4756 prefix=None, -4757 into=None, -4758 dialect=None, -4759 **opts, -4760): -4761 inst = _maybe_copy(instance, copy) -4762 -4763 expressions = [ -4764 maybe_parse( -4765 sql_or_expression=expression, -4766 into=into, -4767 prefix=prefix, -4768 dialect=dialect, -4769 **opts, -4770 ) -4771 for expression in expressions -4772 if expression is not None -4773 ] -4774 -4775 existing_expressions = inst.args.get(arg) -4776 if append and existing_expressions: -4777 expressions = existing_expressions + expressions -4778 -4779 inst.set(arg, expressions) -4780 return inst -4781 -4782 -4783def _apply_conjunction_builder( -4784 *expressions, -4785 instance, -4786 arg, -4787 into=None, -4788 append=True, -4789 copy=True, -4790 dialect=None, -4791 **opts, -4792): -4793 expressions = [exp for exp in expressions if exp is not None and exp != ""] -4794 if not expressions: -4795 return instance -4796 -4797 inst = _maybe_copy(instance, copy) -4798 -4799 existing = inst.args.get(arg) -4800 if append and existing is not None: -4801 expressions = [existing.this if into else existing] + list(expressions) -4802 -4803 node = and_(*expressions, dialect=dialect, copy=copy, **opts) -4804 -4805 inst.set(arg, into(this=node) if into else node) -4806 return inst +4747 child = into(expressions=parsed) +4748 for k, v in (properties or {}).items(): +4749 child.set(k, v) +4750 instance.set(arg, child) +4751 +4752 return instance +4753 +4754 +4755def _apply_list_builder( +4756 *expressions, +4757 instance, +4758 arg, +4759 append=True, +4760 copy=True, +4761 prefix=None, +4762 into=None, +4763 dialect=None, +4764 **opts, +4765): +4766 inst = _maybe_copy(instance, copy) +4767 +4768 expressions = [ +4769 maybe_parse( +4770 sql_or_expression=expression, +4771 into=into, +4772 prefix=prefix, +4773 dialect=dialect, +4774 **opts, +4775 ) +4776 for expression in expressions +4777 if expression is not None +4778 ] +4779 +4780 existing_expressions = inst.args.get(arg) +4781 if append and existing_expressions: +4782 expressions = existing_expressions + expressions +4783 +4784 inst.set(arg, expressions) +4785 return inst +4786 +4787 +4788def _apply_conjunction_builder( +4789 *expressions, +4790 instance, +4791 arg, +4792 into=None, +4793 append=True, +4794 copy=True, +4795 dialect=None, +4796 **opts, +4797): +4798 expressions = [exp for exp in expressions if exp is not None and exp != ""] +4799 if not expressions: +4800 return instance +4801 +4802 inst = _maybe_copy(instance, copy) +4803 +4804 existing = inst.args.get(arg) +4805 if append and existing is not None: +4806 expressions = [existing.this if into else existing] + list(expressions) 4807 -4808 -4809def _apply_cte_builder( -4810 instance: E, -4811 alias: ExpOrStr, -4812 as_: ExpOrStr, -4813 recursive: t.Optional[bool] = None, -4814 append: bool = True, -4815 dialect: DialectType = None, -4816 copy: bool = True, -4817 **opts, -4818) -> E: -4819 alias_expression = maybe_parse(alias, dialect=dialect, into=TableAlias, **opts) -4820 as_expression = maybe_parse(as_, dialect=dialect, **opts) -4821 cte = CTE(this=as_expression, alias=alias_expression) -4822 return _apply_child_list_builder( -4823 cte, -4824 instance=instance, -4825 arg="with", -4826 append=append, -4827 copy=copy, -4828 into=With, -4829 properties={"recursive": recursive or False}, -4830 ) -4831 -4832 -4833def _combine( -4834 expressions: t.Sequence[t.Optional[ExpOrStr]], -4835 operator: t.Type[Connector], -4836 dialect: DialectType = None, -4837 copy: bool = True, -4838 **opts, -4839) -> Expression: -4840 conditions = [ -4841 condition(expression, dialect=dialect, copy=copy, **opts) -4842 for expression in expressions -4843 if expression is not None -4844 ] -4845 -4846 this, *rest = conditions -4847 if rest: -4848 this = _wrap(this, Connector) -4849 for expression in rest: -4850 this = operator(this=this, expression=_wrap(expression, Connector)) -4851 -4852 return this -4853 -4854 -4855def _wrap(expression: E, kind: t.Type[Expression]) -> E | Paren: -4856 return Paren(this=expression) if isinstance(expression, kind) else expression -4857 +4808 node = and_(*expressions, dialect=dialect, copy=copy, **opts) +4809 +4810 inst.set(arg, into(this=node) if into else node) +4811 return inst +4812 +4813 +4814def _apply_cte_builder( +4815 instance: E, +4816 alias: ExpOrStr, +4817 as_: ExpOrStr, +4818 recursive: t.Optional[bool] = None, +4819 append: bool = True, +4820 dialect: DialectType = None, +4821 copy: bool = True, +4822 **opts, +4823) -> E: +4824 alias_expression = maybe_parse(alias, dialect=dialect, into=TableAlias, **opts) +4825 as_expression = maybe_parse(as_, dialect=dialect, **opts) +4826 cte = CTE(this=as_expression, alias=alias_expression) +4827 return _apply_child_list_builder( +4828 cte, +4829 instance=instance, +4830 arg="with", +4831 append=append, +4832 copy=copy, +4833 into=With, +4834 properties={"recursive": recursive or False}, +4835 ) +4836 +4837 +4838def _combine( +4839 expressions: t.Sequence[t.Optional[ExpOrStr]], +4840 operator: t.Type[Connector], +4841 dialect: DialectType = None, +4842 copy: bool = True, +4843 **opts, +4844) -> Expression: +4845 conditions = [ +4846 condition(expression, dialect=dialect, copy=copy, **opts) +4847 for expression in expressions +4848 if expression is not None +4849 ] +4850 +4851 this, *rest = conditions +4852 if rest: +4853 this = _wrap(this, Connector) +4854 for expression in rest: +4855 this = operator(this=this, expression=_wrap(expression, Connector)) +4856 +4857 return this 4858 -4859def union( -4860 left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts -4861) -> Union: -4862 """ -4863 Initializes a syntax tree from one UNION expression. -4864 -4865 Example: -4866 >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql() -4867 'SELECT * FROM foo UNION SELECT * FROM bla' -4868 -4869 Args: -4870 left: the SQL code string corresponding to the left-hand side. -4871 If an `Expression` instance is passed, it will be used as-is. -4872 right: the SQL code string corresponding to the right-hand side. -4873 If an `Expression` instance is passed, it will be used as-is. -4874 distinct: set the DISTINCT flag if and only if this is true. -4875 dialect: the dialect used to parse the input expression. -4876 opts: other options to use to parse the input expressions. -4877 -4878 Returns: -4879 The new Union instance. -4880 """ -4881 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) -4882 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) -4883 -4884 return Union(this=left, expression=right, distinct=distinct) -4885 -4886 -4887def intersect( -4888 left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts -4889) -> Intersect: -4890 """ -4891 Initializes a syntax tree from one INTERSECT expression. -4892 -4893 Example: -4894 >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql() -4895 'SELECT * FROM foo INTERSECT SELECT * FROM bla' -4896 -4897 Args: -4898 left: the SQL code string corresponding to the left-hand side. -4899 If an `Expression` instance is passed, it will be used as-is. -4900 right: the SQL code string corresponding to the right-hand side. -4901 If an `Expression` instance is passed, it will be used as-is. -4902 distinct: set the DISTINCT flag if and only if this is true. -4903 dialect: the dialect used to parse the input expression. -4904 opts: other options to use to parse the input expressions. -4905 -4906 Returns: -4907 The new Intersect instance. -4908 """ -4909 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) -4910 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) -4911 -4912 return Intersect(this=left, expression=right, distinct=distinct) -4913 -4914 -4915def except_( -4916 left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts -4917) -> Except: -4918 """ -4919 Initializes a syntax tree from one EXCEPT expression. -4920 -4921 Example: -4922 >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql() -4923 'SELECT * FROM foo EXCEPT SELECT * FROM bla' -4924 -4925 Args: -4926 left: the SQL code string corresponding to the left-hand side. -4927 If an `Expression` instance is passed, it will be used as-is. -4928 right: the SQL code string corresponding to the right-hand side. -4929 If an `Expression` instance is passed, it will be used as-is. -4930 distinct: set the DISTINCT flag if and only if this is true. -4931 dialect: the dialect used to parse the input expression. -4932 opts: other options to use to parse the input expressions. -4933 -4934 Returns: -4935 The new Except instance. -4936 """ -4937 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) -4938 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) -4939 -4940 return Except(this=left, expression=right, distinct=distinct) -4941 -4942 -4943def select(*expressions: ExpOrStr, dialect: DialectType = None, **opts) -> Select: -4944 """ -4945 Initializes a syntax tree from one or multiple SELECT expressions. +4859 +4860def _wrap(expression: E, kind: t.Type[Expression]) -> E | Paren: +4861 return Paren(this=expression) if isinstance(expression, kind) else expression +4862 +4863 +4864def union( +4865 left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts +4866) -> Union: +4867 """ +4868 Initializes a syntax tree from one UNION expression. +4869 +4870 Example: +4871 >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql() +4872 'SELECT * FROM foo UNION SELECT * FROM bla' +4873 +4874 Args: +4875 left: the SQL code string corresponding to the left-hand side. +4876 If an `Expression` instance is passed, it will be used as-is. +4877 right: the SQL code string corresponding to the right-hand side. +4878 If an `Expression` instance is passed, it will be used as-is. +4879 distinct: set the DISTINCT flag if and only if this is true. +4880 dialect: the dialect used to parse the input expression. +4881 opts: other options to use to parse the input expressions. +4882 +4883 Returns: +4884 The new Union instance. +4885 """ +4886 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) +4887 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) +4888 +4889 return Union(this=left, expression=right, distinct=distinct) +4890 +4891 +4892def intersect( +4893 left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts +4894) -> Intersect: +4895 """ +4896 Initializes a syntax tree from one INTERSECT expression. +4897 +4898 Example: +4899 >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql() +4900 'SELECT * FROM foo INTERSECT SELECT * FROM bla' +4901 +4902 Args: +4903 left: the SQL code string corresponding to the left-hand side. +4904 If an `Expression` instance is passed, it will be used as-is. +4905 right: the SQL code string corresponding to the right-hand side. +4906 If an `Expression` instance is passed, it will be used as-is. +4907 distinct: set the DISTINCT flag if and only if this is true. +4908 dialect: the dialect used to parse the input expression. +4909 opts: other options to use to parse the input expressions. +4910 +4911 Returns: +4912 The new Intersect instance. +4913 """ +4914 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) +4915 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) +4916 +4917 return Intersect(this=left, expression=right, distinct=distinct) +4918 +4919 +4920def except_( +4921 left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts +4922) -> Except: +4923 """ +4924 Initializes a syntax tree from one EXCEPT expression. +4925 +4926 Example: +4927 >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql() +4928 'SELECT * FROM foo EXCEPT SELECT * FROM bla' +4929 +4930 Args: +4931 left: the SQL code string corresponding to the left-hand side. +4932 If an `Expression` instance is passed, it will be used as-is. +4933 right: the SQL code string corresponding to the right-hand side. +4934 If an `Expression` instance is passed, it will be used as-is. +4935 distinct: set the DISTINCT flag if and only if this is true. +4936 dialect: the dialect used to parse the input expression. +4937 opts: other options to use to parse the input expressions. +4938 +4939 Returns: +4940 The new Except instance. +4941 """ +4942 left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts) +4943 right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts) +4944 +4945 return Except(this=left, expression=right, distinct=distinct) 4946 -4947 Example: -4948 >>> select("col1", "col2").from_("tbl").sql() -4949 'SELECT col1, col2 FROM tbl' -4950 -4951 Args: -4952 *expressions: the SQL code string to parse as the expressions of a -4953 SELECT statement. If an Expression instance is passed, this is used as-is. -4954 dialect: the dialect used to parse the input expressions (in the case that an -4955 input expression is a SQL string). -4956 **opts: other options to use to parse the input expressions (again, in the case -4957 that an input expression is a SQL string). -4958 -4959 Returns: -4960 Select: the syntax tree for the SELECT statement. -4961 """ -4962 return Select().select(*expressions, dialect=dialect, **opts) +4947 +4948def select(*expressions: ExpOrStr, dialect: DialectType = None, **opts) -> Select: +4949 """ +4950 Initializes a syntax tree from one or multiple SELECT expressions. +4951 +4952 Example: +4953 >>> select("col1", "col2").from_("tbl").sql() +4954 'SELECT col1, col2 FROM tbl' +4955 +4956 Args: +4957 *expressions: the SQL code string to parse as the expressions of a +4958 SELECT statement. If an Expression instance is passed, this is used as-is. +4959 dialect: the dialect used to parse the input expressions (in the case that an +4960 input expression is a SQL string). +4961 **opts: other options to use to parse the input expressions (again, in the case +4962 that an input expression is a SQL string). 4963 -4964 -4965def from_(expression: ExpOrStr, dialect: DialectType = None, **opts) -> Select: -4966 """ -4967 Initializes a syntax tree from a FROM expression. +4964 Returns: +4965 Select: the syntax tree for the SELECT statement. +4966 """ +4967 return Select().select(*expressions, dialect=dialect, **opts) 4968 -4969 Example: -4970 >>> from_("tbl").select("col1", "col2").sql() -4971 'SELECT col1, col2 FROM tbl' -4972 -4973 Args: -4974 *expression: the SQL code string to parse as the FROM expressions of a -4975 SELECT statement. If an Expression instance is passed, this is used as-is. -4976 dialect: the dialect used to parse the input expression (in the case that the -4977 input expression is a SQL string). -4978 **opts: other options to use to parse the input expressions (again, in the case -4979 that the input expression is a SQL string). -4980 -4981 Returns: -4982 Select: the syntax tree for the SELECT statement. -4983 """ -4984 return Select().from_(expression, dialect=dialect, **opts) +4969 +4970def from_(expression: ExpOrStr, dialect: DialectType = None, **opts) -> Select: +4971 """ +4972 Initializes a syntax tree from a FROM expression. +4973 +4974 Example: +4975 >>> from_("tbl").select("col1", "col2").sql() +4976 'SELECT col1, col2 FROM tbl' +4977 +4978 Args: +4979 *expression: the SQL code string to parse as the FROM expressions of a +4980 SELECT statement. If an Expression instance is passed, this is used as-is. +4981 dialect: the dialect used to parse the input expression (in the case that the +4982 input expression is a SQL string). +4983 **opts: other options to use to parse the input expressions (again, in the case +4984 that the input expression is a SQL string). 4985 -4986 -4987def update( -4988 table: str | Table, -4989 properties: dict, -4990 where: t.Optional[ExpOrStr] = None, -4991 from_: t.Optional[ExpOrStr] = None, -4992 dialect: DialectType = None, -4993 **opts, -4994) -> Update: -4995 """ -4996 Creates an update statement. -4997 -4998 Example: -4999 >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql() -5000 "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1" -5001 -5002 Args: -5003 *properties: dictionary of properties to set which are -5004 auto converted to sql objects eg None -> NULL -5005 where: sql conditional parsed into a WHERE statement -5006 from_: sql statement parsed into a FROM statement -5007 dialect: the dialect used to parse the input expressions. -5008 **opts: other options to use to parse the input expressions. -5009 -5010 Returns: -5011 Update: the syntax tree for the UPDATE statement. -5012 """ -5013 update_expr = Update(this=maybe_parse(table, into=Table, dialect=dialect)) -5014 update_expr.set( -5015 "expressions", -5016 [ -5017 EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v)) -5018 for k, v in properties.items() -5019 ], -5020 ) -5021 if from_: -5022 update_expr.set( -5023 "from", -5024 maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts), -5025 ) -5026 if isinstance(where, Condition): -5027 where = Where(this=where) -5028 if where: -5029 update_expr.set( -5030 "where", -5031 maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts), -5032 ) -5033 return update_expr -5034 -5035 -5036def delete( -5037 table: ExpOrStr, -5038 where: t.Optional[ExpOrStr] = None, -5039 returning: t.Optional[ExpOrStr] = None, -5040 dialect: DialectType = None, -5041 **opts, -5042) -> Delete: -5043 """ -5044 Builds a delete statement. -5045 -5046 Example: -5047 >>> delete("my_table", where="id > 1").sql() -5048 'DELETE FROM my_table WHERE id > 1' -5049 -5050 Args: -5051 where: sql conditional parsed into a WHERE statement -5052 returning: sql conditional parsed into a RETURNING statement -5053 dialect: the dialect used to parse the input expressions. -5054 **opts: other options to use to parse the input expressions. -5055 -5056 Returns: -5057 Delete: the syntax tree for the DELETE statement. -5058 """ -5059 delete_expr = Delete().delete(table, dialect=dialect, copy=False, **opts) -5060 if where: -5061 delete_expr = delete_expr.where(where, dialect=dialect, copy=False, **opts) -5062 if returning: -5063 delete_expr = delete_expr.returning(returning, dialect=dialect, copy=False, **opts) -5064 return delete_expr -5065 -5066 -5067def insert( -5068 expression: ExpOrStr, -5069 into: ExpOrStr, -5070 columns: t.Optional[t.Sequence[ExpOrStr]] = None, -5071 overwrite: t.Optional[bool] = None, -5072 dialect: DialectType = None, -5073 copy: bool = True, -5074 **opts, -5075) -> Insert: -5076 """ -5077 Builds an INSERT statement. -5078 -5079 Example: -5080 >>> insert("VALUES (1, 2, 3)", "tbl").sql() -5081 'INSERT INTO tbl VALUES (1, 2, 3)' -5082 -5083 Args: -5084 expression: the sql string or expression of the INSERT statement -5085 into: the tbl to insert data to. -5086 columns: optionally the table's column names. -5087 overwrite: whether to INSERT OVERWRITE or not. -5088 dialect: the dialect used to parse the input expressions. -5089 copy: whether or not to copy the expression. -5090 **opts: other options to use to parse the input expressions. -5091 -5092 Returns: -5093 Insert: the syntax tree for the INSERT statement. -5094 """ -5095 expr = maybe_parse(expression, dialect=dialect, copy=copy, **opts) -5096 this: Table | Schema = maybe_parse(into, into=Table, dialect=dialect, copy=copy, **opts) -5097 -5098 if columns: -5099 this = _apply_list_builder( -5100 *columns, -5101 instance=Schema(this=this), -5102 arg="expressions", -5103 into=Identifier, -5104 copy=False, -5105 dialect=dialect, -5106 **opts, -5107 ) -5108 -5109 return Insert(this=this, expression=expr, overwrite=overwrite) -5110 -5111 -5112def condition( -5113 expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts -5114) -> Condition: -5115 """ -5116 Initialize a logical condition expression. -5117 -5118 Example: -5119 >>> condition("x=1").sql() -5120 'x = 1' -5121 -5122 This is helpful for composing larger logical syntax trees: -5123 >>> where = condition("x=1") -5124 >>> where = where.and_("y=1") -5125 >>> Select().from_("tbl").select("*").where(where).sql() -5126 'SELECT * FROM tbl WHERE x = 1 AND y = 1' -5127 -5128 Args: -5129 *expression: the SQL code string to parse. -5130 If an Expression instance is passed, this is used as-is. -5131 dialect: the dialect used to parse the input expression (in the case that the -5132 input expression is a SQL string). -5133 copy: Whether or not to copy `expression` (only applies to expressions). -5134 **opts: other options to use to parse the input expressions (again, in the case -5135 that the input expression is a SQL string). -5136 -5137 Returns: -5138 The new Condition instance -5139 """ -5140 return maybe_parse( -5141 expression, -5142 into=Condition, -5143 dialect=dialect, -5144 copy=copy, -5145 **opts, -5146 ) -5147 -5148 -5149def and_( -5150 *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts -5151) -> Condition: -5152 """ -5153 Combine multiple conditions with an AND logical operator. -5154 -5155 Example: -5156 >>> and_("x=1", and_("y=1", "z=1")).sql() -5157 'x = 1 AND (y = 1 AND z = 1)' -5158 -5159 Args: -5160 *expressions: the SQL code strings to parse. -5161 If an Expression instance is passed, this is used as-is. -5162 dialect: the dialect used to parse the input expression. -5163 copy: whether or not to copy `expressions` (only applies to Expressions). -5164 **opts: other options to use to parse the input expressions. -5165 -5166 Returns: -5167 And: the new condition -5168 """ -5169 return t.cast(Condition, _combine(expressions, And, dialect, copy=copy, **opts)) +4986 Returns: +4987 Select: the syntax tree for the SELECT statement. +4988 """ +4989 return Select().from_(expression, dialect=dialect, **opts) +4990 +4991 +4992def update( +4993 table: str | Table, +4994 properties: dict, +4995 where: t.Optional[ExpOrStr] = None, +4996 from_: t.Optional[ExpOrStr] = None, +4997 dialect: DialectType = None, +4998 **opts, +4999) -> Update: +5000 """ +5001 Creates an update statement. +5002 +5003 Example: +5004 >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql() +5005 "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1" +5006 +5007 Args: +5008 *properties: dictionary of properties to set which are +5009 auto converted to sql objects eg None -> NULL +5010 where: sql conditional parsed into a WHERE statement +5011 from_: sql statement parsed into a FROM statement +5012 dialect: the dialect used to parse the input expressions. +5013 **opts: other options to use to parse the input expressions. +5014 +5015 Returns: +5016 Update: the syntax tree for the UPDATE statement. +5017 """ +5018 update_expr = Update(this=maybe_parse(table, into=Table, dialect=dialect)) +5019 update_expr.set( +5020 "expressions", +5021 [ +5022 EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v)) +5023 for k, v in properties.items() +5024 ], +5025 ) +5026 if from_: +5027 update_expr.set( +5028 "from", +5029 maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts), +5030 ) +5031 if isinstance(where, Condition): +5032 where = Where(this=where) +5033 if where: +5034 update_expr.set( +5035 "where", +5036 maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts), +5037 ) +5038 return update_expr +5039 +5040 +5041def delete( +5042 table: ExpOrStr, +5043 where: t.Optional[ExpOrStr] = None, +5044 returning: t.Optional[ExpOrStr] = None, +5045 dialect: DialectType = None, +5046 **opts, +5047) -> Delete: +5048 """ +5049 Builds a delete statement. +5050 +5051 Example: +5052 >>> delete("my_table", where="id > 1").sql() +5053 'DELETE FROM my_table WHERE id > 1' +5054 +5055 Args: +5056 where: sql conditional parsed into a WHERE statement +5057 returning: sql conditional parsed into a RETURNING statement +5058 dialect: the dialect used to parse the input expressions. +5059 **opts: other options to use to parse the input expressions. +5060 +5061 Returns: +5062 Delete: the syntax tree for the DELETE statement. +5063 """ +5064 delete_expr = Delete().delete(table, dialect=dialect, copy=False, **opts) +5065 if where: +5066 delete_expr = delete_expr.where(where, dialect=dialect, copy=False, **opts) +5067 if returning: +5068 delete_expr = delete_expr.returning(returning, dialect=dialect, copy=False, **opts) +5069 return delete_expr +5070 +5071 +5072def insert( +5073 expression: ExpOrStr, +5074 into: ExpOrStr, +5075 columns: t.Optional[t.Sequence[ExpOrStr]] = None, +5076 overwrite: t.Optional[bool] = None, +5077 dialect: DialectType = None, +5078 copy: bool = True, +5079 **opts, +5080) -> Insert: +5081 """ +5082 Builds an INSERT statement. +5083 +5084 Example: +5085 >>> insert("VALUES (1, 2, 3)", "tbl").sql() +5086 'INSERT INTO tbl VALUES (1, 2, 3)' +5087 +5088 Args: +5089 expression: the sql string or expression of the INSERT statement +5090 into: the tbl to insert data to. +5091 columns: optionally the table's column names. +5092 overwrite: whether to INSERT OVERWRITE or not. +5093 dialect: the dialect used to parse the input expressions. +5094 copy: whether or not to copy the expression. +5095 **opts: other options to use to parse the input expressions. +5096 +5097 Returns: +5098 Insert: the syntax tree for the INSERT statement. +5099 """ +5100 expr = maybe_parse(expression, dialect=dialect, copy=copy, **opts) +5101 this: Table | Schema = maybe_parse(into, into=Table, dialect=dialect, copy=copy, **opts) +5102 +5103 if columns: +5104 this = _apply_list_builder( +5105 *columns, +5106 instance=Schema(this=this), +5107 arg="expressions", +5108 into=Identifier, +5109 copy=False, +5110 dialect=dialect, +5111 **opts, +5112 ) +5113 +5114 return Insert(this=this, expression=expr, overwrite=overwrite) +5115 +5116 +5117def condition( +5118 expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts +5119) -> Condition: +5120 """ +5121 Initialize a logical condition expression. +5122 +5123 Example: +5124 >>> condition("x=1").sql() +5125 'x = 1' +5126 +5127 This is helpful for composing larger logical syntax trees: +5128 >>> where = condition("x=1") +5129 >>> where = where.and_("y=1") +5130 >>> Select().from_("tbl").select("*").where(where).sql() +5131 'SELECT * FROM tbl WHERE x = 1 AND y = 1' +5132 +5133 Args: +5134 *expression: the SQL code string to parse. +5135 If an Expression instance is passed, this is used as-is. +5136 dialect: the dialect used to parse the input expression (in the case that the +5137 input expression is a SQL string). +5138 copy: Whether or not to copy `expression` (only applies to expressions). +5139 **opts: other options to use to parse the input expressions (again, in the case +5140 that the input expression is a SQL string). +5141 +5142 Returns: +5143 The new Condition instance +5144 """ +5145 return maybe_parse( +5146 expression, +5147 into=Condition, +5148 dialect=dialect, +5149 copy=copy, +5150 **opts, +5151 ) +5152 +5153 +5154def and_( +5155 *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts +5156) -> Condition: +5157 """ +5158 Combine multiple conditions with an AND logical operator. +5159 +5160 Example: +5161 >>> and_("x=1", and_("y=1", "z=1")).sql() +5162 'x = 1 AND (y = 1 AND z = 1)' +5163 +5164 Args: +5165 *expressions: the SQL code strings to parse. +5166 If an Expression instance is passed, this is used as-is. +5167 dialect: the dialect used to parse the input expression. +5168 copy: whether or not to copy `expressions` (only applies to Expressions). +5169 **opts: other options to use to parse the input expressions. 5170 -5171 -5172def or_( -5173 *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts -5174) -> Condition: -5175 """ -5176 Combine multiple conditions with an OR logical operator. -5177 -5178 Example: -5179 >>> or_("x=1", or_("y=1", "z=1")).sql() -5180 'x = 1 OR (y = 1 OR z = 1)' -5181 -5182 Args: -5183 *expressions: the SQL code strings to parse. -5184 If an Expression instance is passed, this is used as-is. -5185 dialect: the dialect used to parse the input expression. -5186 copy: whether or not to copy `expressions` (only applies to Expressions). -5187 **opts: other options to use to parse the input expressions. -5188 -5189 Returns: -5190 Or: the new condition -5191 """ -5192 return t.cast(Condition, _combine(expressions, Or, dialect, copy=copy, **opts)) +5171 Returns: +5172 And: the new condition +5173 """ +5174 return t.cast(Condition, _combine(expressions, And, dialect, copy=copy, **opts)) +5175 +5176 +5177def or_( +5178 *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts +5179) -> Condition: +5180 """ +5181 Combine multiple conditions with an OR logical operator. +5182 +5183 Example: +5184 >>> or_("x=1", or_("y=1", "z=1")).sql() +5185 'x = 1 OR (y = 1 OR z = 1)' +5186 +5187 Args: +5188 *expressions: the SQL code strings to parse. +5189 If an Expression instance is passed, this is used as-is. +5190 dialect: the dialect used to parse the input expression. +5191 copy: whether or not to copy `expressions` (only applies to Expressions). +5192 **opts: other options to use to parse the input expressions. 5193 -5194 -5195def not_(expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts) -> Not: -5196 """ -5197 Wrap a condition with a NOT operator. +5194 Returns: +5195 Or: the new condition +5196 """ +5197 return t.cast(Condition, _combine(expressions, Or, dialect, copy=copy, **opts)) 5198 -5199 Example: -5200 >>> not_("this_suit='black'").sql() -5201 "NOT this_suit = 'black'" -5202 -5203 Args: -5204 expression: the SQL code string to parse. -5205 If an Expression instance is passed, this is used as-is. -5206 dialect: the dialect used to parse the input expression. -5207 copy: whether to copy the expression or not. -5208 **opts: other options to use to parse the input expressions. -5209 -5210 Returns: -5211 The new condition. -5212 """ -5213 this = condition( -5214 expression, -5215 dialect=dialect, -5216 copy=copy, -5217 **opts, -5218 ) -5219 return Not(this=_wrap(this, Connector)) -5220 -5221 -5222def paren(expression: ExpOrStr, copy: bool = True) -> Paren: -5223 """ -5224 Wrap an expression in parentheses. +5199 +5200def not_(expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts) -> Not: +5201 """ +5202 Wrap a condition with a NOT operator. +5203 +5204 Example: +5205 >>> not_("this_suit='black'").sql() +5206 "NOT this_suit = 'black'" +5207 +5208 Args: +5209 expression: the SQL code string to parse. +5210 If an Expression instance is passed, this is used as-is. +5211 dialect: the dialect used to parse the input expression. +5212 copy: whether to copy the expression or not. +5213 **opts: other options to use to parse the input expressions. +5214 +5215 Returns: +5216 The new condition. +5217 """ +5218 this = condition( +5219 expression, +5220 dialect=dialect, +5221 copy=copy, +5222 **opts, +5223 ) +5224 return Not(this=_wrap(this, Connector)) 5225 -5226 Example: -5227 >>> paren("5 + 3").sql() -5228 '(5 + 3)' -5229 -5230 Args: -5231 expression: the SQL code string to parse. -5232 If an Expression instance is passed, this is used as-is. -5233 copy: whether to copy the expression or not. +5226 +5227def paren(expression: ExpOrStr, copy: bool = True) -> Paren: +5228 """ +5229 Wrap an expression in parentheses. +5230 +5231 Example: +5232 >>> paren("5 + 3").sql() +5233 '(5 + 3)' 5234 -5235 Returns: -5236 The wrapped expression. -5237 """ -5238 return Paren(this=maybe_parse(expression, copy=copy)) +5235 Args: +5236 expression: the SQL code string to parse. +5237 If an Expression instance is passed, this is used as-is. +5238 copy: whether to copy the expression or not. 5239 -5240 -5241SAFE_IDENTIFIER_RE = re.compile(r"^[_a-zA-Z][\w]*$") -5242 -5243 -5244@t.overload -5245def to_identifier(name: None, quoted: t.Optional[bool] = None, copy: bool = True) -> None: -5246 ... +5240 Returns: +5241 The wrapped expression. +5242 """ +5243 return Paren(this=maybe_parse(expression, copy=copy)) +5244 +5245 +5246SAFE_IDENTIFIER_RE = re.compile(r"^[_a-zA-Z][\w]*$") 5247 5248 5249@t.overload -5250def to_identifier( -5251 name: str | Identifier, quoted: t.Optional[bool] = None, copy: bool = True -5252) -> Identifier: -5253 ... -5254 -5255 -5256def to_identifier(name, quoted=None, copy=True): -5257 """Builds an identifier. -5258 -5259 Args: -5260 name: The name to turn into an identifier. -5261 quoted: Whether or not force quote the identifier. -5262 copy: Whether or not to copy a passed in Identefier node. +5250def to_identifier(name: None, quoted: t.Optional[bool] = None, copy: bool = True) -> None: +5251 ... +5252 +5253 +5254@t.overload +5255def to_identifier( +5256 name: str | Identifier, quoted: t.Optional[bool] = None, copy: bool = True +5257) -> Identifier: +5258 ... +5259 +5260 +5261def to_identifier(name, quoted=None, copy=True): +5262 """Builds an identifier. 5263 -5264 Returns: -5265 The identifier ast node. -5266 """ -5267 -5268 if name is None: -5269 return None -5270 -5271 if isinstance(name, Identifier): -5272 identifier = _maybe_copy(name, copy) -5273 elif isinstance(name, str): -5274 identifier = Identifier( -5275 this=name, -5276 quoted=not SAFE_IDENTIFIER_RE.match(name) if quoted is None else quoted, -5277 ) -5278 else: -5279 raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}") -5280 return identifier -5281 -5282 -5283INTERVAL_STRING_RE = re.compile(r"\s*([0-9]+)\s*([a-zA-Z]+)\s*") -5284 -5285 -5286def to_interval(interval: str | Literal) -> Interval: -5287 """Builds an interval expression from a string like '1 day' or '5 months'.""" -5288 if isinstance(interval, Literal): -5289 if not interval.is_string: -5290 raise ValueError("Invalid interval string.") -5291 -5292 interval = interval.this -5293 -5294 interval_parts = INTERVAL_STRING_RE.match(interval) # type: ignore -5295 -5296 if not interval_parts: -5297 raise ValueError("Invalid interval string.") +5264 Args: +5265 name: The name to turn into an identifier. +5266 quoted: Whether or not force quote the identifier. +5267 copy: Whether or not to copy a passed in Identefier node. +5268 +5269 Returns: +5270 The identifier ast node. +5271 """ +5272 +5273 if name is None: +5274 return None +5275 +5276 if isinstance(name, Identifier): +5277 identifier = _maybe_copy(name, copy) +5278 elif isinstance(name, str): +5279 identifier = Identifier( +5280 this=name, +5281 quoted=not SAFE_IDENTIFIER_RE.match(name) if quoted is None else quoted, +5282 ) +5283 else: +5284 raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}") +5285 return identifier +5286 +5287 +5288INTERVAL_STRING_RE = re.compile(r"\s*([0-9]+)\s*([a-zA-Z]+)\s*") +5289 +5290 +5291def to_interval(interval: str | Literal) -> Interval: +5292 """Builds an interval expression from a string like '1 day' or '5 months'.""" +5293 if isinstance(interval, Literal): +5294 if not interval.is_string: +5295 raise ValueError("Invalid interval string.") +5296 +5297 interval = interval.this 5298 -5299 return Interval( -5300 this=Literal.string(interval_parts.group(1)), -5301 unit=Var(this=interval_parts.group(2)), -5302 ) +5299 interval_parts = INTERVAL_STRING_RE.match(interval) # type: ignore +5300 +5301 if not interval_parts: +5302 raise ValueError("Invalid interval string.") 5303 -5304 -5305@t.overload -5306def to_table(sql_path: str | Table, **kwargs) -> Table: -5307 ... +5304 return Interval( +5305 this=Literal.string(interval_parts.group(1)), +5306 unit=Var(this=interval_parts.group(2)), +5307 ) 5308 5309 5310@t.overload -5311def to_table(sql_path: None, **kwargs) -> None: +5311def to_table(sql_path: str | Table, **kwargs) -> Table: 5312 ... 5313 5314 -5315def to_table( -5316 sql_path: t.Optional[str | Table], dialect: DialectType = None, **kwargs -5317) -> t.Optional[Table]: -5318 """ -5319 Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional. -5320 If a table is passed in then that table is returned. -5321 -5322 Args: -5323 sql_path: a `[catalog].[schema].[table]` string. -5324 dialect: the source dialect according to which the table name will be parsed. -5325 kwargs: the kwargs to instantiate the resulting `Table` expression with. +5315@t.overload +5316def to_table(sql_path: None, **kwargs) -> None: +5317 ... +5318 +5319 +5320def to_table( +5321 sql_path: t.Optional[str | Table], dialect: DialectType = None, **kwargs +5322) -> t.Optional[Table]: +5323 """ +5324 Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional. +5325 If a table is passed in then that table is returned. 5326 -5327 Returns: -5328 A table expression. -5329 """ -5330 if sql_path is None or isinstance(sql_path, Table): -5331 return sql_path -5332 if not isinstance(sql_path, str): -5333 raise ValueError(f"Invalid type provided for a table: {type(sql_path)}") -5334 -5335 table = maybe_parse(sql_path, into=Table, dialect=dialect) -5336 if table: -5337 for k, v in kwargs.items(): -5338 table.set(k, v) +5327 Args: +5328 sql_path: a `[catalog].[schema].[table]` string. +5329 dialect: the source dialect according to which the table name will be parsed. +5330 kwargs: the kwargs to instantiate the resulting `Table` expression with. +5331 +5332 Returns: +5333 A table expression. +5334 """ +5335 if sql_path is None or isinstance(sql_path, Table): +5336 return sql_path +5337 if not isinstance(sql_path, str): +5338 raise ValueError(f"Invalid type provided for a table: {type(sql_path)}") 5339 -5340 return table -5341 -5342 -5343def to_column(sql_path: str | Column, **kwargs) -> Column: -5344 """ -5345 Create a column from a `[table].[column]` sql path. Schema is optional. +5340 table = maybe_parse(sql_path, into=Table, dialect=dialect) +5341 if table: +5342 for k, v in kwargs.items(): +5343 table.set(k, v) +5344 +5345 return table 5346 -5347 If a column is passed in then that column is returned. -5348 -5349 Args: -5350 sql_path: `[table].[column]` string -5351 Returns: -5352 Table: A column expression -5353 """ -5354 if sql_path is None or isinstance(sql_path, Column): -5355 return sql_path -5356 if not isinstance(sql_path, str): -5357 raise ValueError(f"Invalid type provided for column: {type(sql_path)}") -5358 return column(*reversed(sql_path.split(".")), **kwargs) # type: ignore -5359 -5360 -5361def alias_( -5362 expression: ExpOrStr, -5363 alias: str | Identifier, -5364 table: bool | t.Sequence[str | Identifier] = False, -5365 quoted: t.Optional[bool] = None, -5366 dialect: DialectType = None, -5367 copy: bool = True, -5368 **opts, -5369): -5370 """Create an Alias expression. -5371 -5372 Example: -5373 >>> alias_('foo', 'bar').sql() -5374 'foo AS bar' -5375 -5376 >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql() -5377 '(SELECT 1, 2) AS bar(a, b)' -5378 -5379 Args: -5380 expression: the SQL code strings to parse. -5381 If an Expression instance is passed, this is used as-is. -5382 alias: the alias name to use. If the name has -5383 special characters it is quoted. -5384 table: Whether or not to create a table alias, can also be a list of columns. -5385 quoted: whether or not to quote the alias -5386 dialect: the dialect used to parse the input expression. -5387 copy: Whether or not to copy the expression. -5388 **opts: other options to use to parse the input expressions. -5389 -5390 Returns: -5391 Alias: the aliased expression -5392 """ -5393 exp = maybe_parse(expression, dialect=dialect, copy=copy, **opts) -5394 alias = to_identifier(alias, quoted=quoted) -5395 -5396 if table: -5397 table_alias = TableAlias(this=alias) -5398 exp.set("alias", table_alias) -5399 -5400 if not isinstance(table, bool): -5401 for column in table: -5402 table_alias.append("columns", to_identifier(column, quoted=quoted)) -5403 -5404 return exp -5405 -5406 # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in -5407 # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node -5408 # for the complete Window expression. -5409 # -5410 # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls -5411 -5412 if "alias" in exp.arg_types and not isinstance(exp, Window): -5413 exp.set("alias", alias) -5414 return exp -5415 return Alias(this=exp, alias=alias) +5347 +5348def to_column(sql_path: str | Column, **kwargs) -> Column: +5349 """ +5350 Create a column from a `[table].[column]` sql path. Schema is optional. +5351 +5352 If a column is passed in then that column is returned. +5353 +5354 Args: +5355 sql_path: `[table].[column]` string +5356 Returns: +5357 Table: A column expression +5358 """ +5359 if sql_path is None or isinstance(sql_path, Column): +5360 return sql_path +5361 if not isinstance(sql_path, str): +5362 raise ValueError(f"Invalid type provided for column: {type(sql_path)}") +5363 return column(*reversed(sql_path.split(".")), **kwargs) # type: ignore +5364 +5365 +5366def alias_( +5367 expression: ExpOrStr, +5368 alias: str | Identifier, +5369 table: bool | t.Sequence[str | Identifier] = False, +5370 quoted: t.Optional[bool] = None, +5371 dialect: DialectType = None, +5372 copy: bool = True, +5373 **opts, +5374): +5375 """Create an Alias expression. +5376 +5377 Example: +5378 >>> alias_('foo', 'bar').sql() +5379 'foo AS bar' +5380 +5381 >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql() +5382 '(SELECT 1, 2) AS bar(a, b)' +5383 +5384 Args: +5385 expression: the SQL code strings to parse. +5386 If an Expression instance is passed, this is used as-is. +5387 alias: the alias name to use. If the name has +5388 special characters it is quoted. +5389 table: Whether or not to create a table alias, can also be a list of columns. +5390 quoted: whether or not to quote the alias +5391 dialect: the dialect used to parse the input expression. +5392 copy: Whether or not to copy the expression. +5393 **opts: other options to use to parse the input expressions. +5394 +5395 Returns: +5396 Alias: the aliased expression +5397 """ +5398 exp = maybe_parse(expression, dialect=dialect, copy=copy, **opts) +5399 alias = to_identifier(alias, quoted=quoted) +5400 +5401 if table: +5402 table_alias = TableAlias(this=alias) +5403 exp.set("alias", table_alias) +5404 +5405 if not isinstance(table, bool): +5406 for column in table: +5407 table_alias.append("columns", to_identifier(column, quoted=quoted)) +5408 +5409 return exp +5410 +5411 # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in +5412 # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node +5413 # for the complete Window expression. +5414 # +5415 # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls 5416 -5417 -5418def subquery( -5419 expression: ExpOrStr, -5420 alias: t.Optional[Identifier | str] = None, -5421 dialect: DialectType = None, -5422 **opts, -5423) -> Select: -5424 """ -5425 Build a subquery expression. -5426 -5427 Example: -5428 >>> subquery('select x from tbl', 'bar').select('x').sql() -5429 'SELECT x FROM (SELECT x FROM tbl) AS bar' -5430 -5431 Args: -5432 expression: the SQL code strings to parse. -5433 If an Expression instance is passed, this is used as-is. -5434 alias: the alias name to use. -5435 dialect: the dialect used to parse the input expression. -5436 **opts: other options to use to parse the input expressions. -5437 -5438 Returns: -5439 A new Select instance with the subquery expression included. -5440 """ -5441 -5442 expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias) -5443 return Select().from_(expression, dialect=dialect, **opts) -5444 -5445 -5446def column( -5447 col: str | Identifier, -5448 table: t.Optional[str | Identifier] = None, -5449 db: t.Optional[str | Identifier] = None, -5450 catalog: t.Optional[str | Identifier] = None, -5451 quoted: t.Optional[bool] = None, -5452) -> Column: -5453 """ -5454 Build a Column. -5455 -5456 Args: -5457 col: Column name. -5458 table: Table name. -5459 db: Database name. -5460 catalog: Catalog name. -5461 quoted: Whether to force quotes on the column's identifiers. -5462 -5463 Returns: -5464 The new Column instance. -5465 """ -5466 return Column( -5467 this=to_identifier(col, quoted=quoted), -5468 table=to_identifier(table, quoted=quoted), -5469 db=to_identifier(db, quoted=quoted), -5470 catalog=to_identifier(catalog, quoted=quoted), -5471 ) -5472 -5473 -5474def cast(expression: ExpOrStr, to: str | DataType | DataType.Type, **opts) -> Cast: -5475 """Cast an expression to a data type. -5476 -5477 Example: -5478 >>> cast('x + 1', 'int').sql() -5479 'CAST(x + 1 AS INT)' -5480 -5481 Args: -5482 expression: The expression to cast. -5483 to: The datatype to cast to. -5484 -5485 Returns: -5486 The new Cast instance. -5487 """ -5488 expression = maybe_parse(expression, **opts) -5489 return Cast(this=expression, to=DataType.build(to, **opts)) -5490 -5491 -5492def table_( -5493 table: Identifier | str, -5494 db: t.Optional[Identifier | str] = None, -5495 catalog: t.Optional[Identifier | str] = None, -5496 quoted: t.Optional[bool] = None, -5497 alias: t.Optional[Identifier | str] = None, -5498) -> Table: -5499 """Build a Table. -5500 -5501 Args: -5502 table: Table name. -5503 db: Database name. -5504 catalog: Catalog name. -5505 quote: Whether to force quotes on the table's identifiers. -5506 alias: Table's alias. -5507 -5508 Returns: -5509 The new Table instance. -5510 """ -5511 return Table( -5512 this=to_identifier(table, quoted=quoted), -5513 db=to_identifier(db, quoted=quoted), -5514 catalog=to_identifier(catalog, quoted=quoted), -5515 alias=TableAlias(this=to_identifier(alias)) if alias else None, -5516 ) -5517 -5518 -5519def values( -5520 values: t.Iterable[t.Tuple[t.Any, ...]], -5521 alias: t.Optional[str] = None, -5522 columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None, -5523) -> Values: -5524 """Build VALUES statement. -5525 -5526 Example: -5527 >>> values([(1, '2')]).sql() -5528 "VALUES (1, '2')" -5529 -5530 Args: -5531 values: values statements that will be converted to SQL -5532 alias: optional alias -5533 columns: Optional list of ordered column names or ordered dictionary of column names to types. -5534 If either are provided then an alias is also required. -5535 -5536 Returns: -5537 Values: the Values expression object -5538 """ -5539 if columns and not alias: -5540 raise ValueError("Alias is required when providing columns") -5541 -5542 return Values( -5543 expressions=[convert(tup) for tup in values], -5544 alias=( -5545 TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns]) -5546 if columns -5547 else (TableAlias(this=to_identifier(alias)) if alias else None) -5548 ), -5549 ) -5550 -5551 -5552def var(name: t.Optional[ExpOrStr]) -> Var: -5553 """Build a SQL variable. -5554 -5555 Example: -5556 >>> repr(var('x')) -5557 '(VAR this: x)' -5558 -5559 >>> repr(var(column('x', table='y'))) -5560 '(VAR this: x)' -5561 -5562 Args: -5563 name: The name of the var or an expression who's name will become the var. -5564 -5565 Returns: -5566 The new variable node. -5567 """ -5568 if not name: -5569 raise ValueError("Cannot convert empty name into var.") -5570 -5571 if isinstance(name, Expression): -5572 name = name.name -5573 return Var(this=name) -5574 +5417 if "alias" in exp.arg_types and not isinstance(exp, Window): +5418 exp.set("alias", alias) +5419 return exp +5420 return Alias(this=exp, alias=alias) +5421 +5422 +5423def subquery( +5424 expression: ExpOrStr, +5425 alias: t.Optional[Identifier | str] = None, +5426 dialect: DialectType = None, +5427 **opts, +5428) -> Select: +5429 """ +5430 Build a subquery expression. +5431 +5432 Example: +5433 >>> subquery('select x from tbl', 'bar').select('x').sql() +5434 'SELECT x FROM (SELECT x FROM tbl) AS bar' +5435 +5436 Args: +5437 expression: the SQL code strings to parse. +5438 If an Expression instance is passed, this is used as-is. +5439 alias: the alias name to use. +5440 dialect: the dialect used to parse the input expression. +5441 **opts: other options to use to parse the input expressions. +5442 +5443 Returns: +5444 A new Select instance with the subquery expression included. +5445 """ +5446 +5447 expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias) +5448 return Select().from_(expression, dialect=dialect, **opts) +5449 +5450 +5451def column( +5452 col: str | Identifier, +5453 table: t.Optional[str | Identifier] = None, +5454 db: t.Optional[str | Identifier] = None, +5455 catalog: t.Optional[str | Identifier] = None, +5456 quoted: t.Optional[bool] = None, +5457) -> Column: +5458 """ +5459 Build a Column. +5460 +5461 Args: +5462 col: Column name. +5463 table: Table name. +5464 db: Database name. +5465 catalog: Catalog name. +5466 quoted: Whether to force quotes on the column's identifiers. +5467 +5468 Returns: +5469 The new Column instance. +5470 """ +5471 return Column( +5472 this=to_identifier(col, quoted=quoted), +5473 table=to_identifier(table, quoted=quoted), +5474 db=to_identifier(db, quoted=quoted), +5475 catalog=to_identifier(catalog, quoted=quoted), +5476 ) +5477 +5478 +5479def cast(expression: ExpOrStr, to: str | DataType | DataType.Type, **opts) -> Cast: +5480 """Cast an expression to a data type. +5481 +5482 Example: +5483 >>> cast('x + 1', 'int').sql() +5484 'CAST(x + 1 AS INT)' +5485 +5486 Args: +5487 expression: The expression to cast. +5488 to: The datatype to cast to. +5489 +5490 Returns: +5491 The new Cast instance. +5492 """ +5493 expression = maybe_parse(expression, **opts) +5494 return Cast(this=expression, to=DataType.build(to, **opts)) +5495 +5496 +5497def table_( +5498 table: Identifier | str, +5499 db: t.Optional[Identifier | str] = None, +5500 catalog: t.Optional[Identifier | str] = None, +5501 quoted: t.Optional[bool] = None, +5502 alias: t.Optional[Identifier | str] = None, +5503) -> Table: +5504 """Build a Table. +5505 +5506 Args: +5507 table: Table name. +5508 db: Database name. +5509 catalog: Catalog name. +5510 quote: Whether to force quotes on the table's identifiers. +5511 alias: Table's alias. +5512 +5513 Returns: +5514 The new Table instance. +5515 """ +5516 return Table( +5517 this=to_identifier(table, quoted=quoted), +5518 db=to_identifier(db, quoted=quoted), +5519 catalog=to_identifier(catalog, quoted=quoted), +5520 alias=TableAlias(this=to_identifier(alias)) if alias else None, +5521 ) +5522 +5523 +5524def values( +5525 values: t.Iterable[t.Tuple[t.Any, ...]], +5526 alias: t.Optional[str] = None, +5527 columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None, +5528) -> Values: +5529 """Build VALUES statement. +5530 +5531 Example: +5532 >>> values([(1, '2')]).sql() +5533 "VALUES (1, '2')" +5534 +5535 Args: +5536 values: values statements that will be converted to SQL +5537 alias: optional alias +5538 columns: Optional list of ordered column names or ordered dictionary of column names to types. +5539 If either are provided then an alias is also required. +5540 +5541 Returns: +5542 Values: the Values expression object +5543 """ +5544 if columns and not alias: +5545 raise ValueError("Alias is required when providing columns") +5546 +5547 return Values( +5548 expressions=[convert(tup) for tup in values], +5549 alias=( +5550 TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns]) +5551 if columns +5552 else (TableAlias(this=to_identifier(alias)) if alias else None) +5553 ), +5554 ) +5555 +5556 +5557def var(name: t.Optional[ExpOrStr]) -> Var: +5558 """Build a SQL variable. +5559 +5560 Example: +5561 >>> repr(var('x')) +5562 '(VAR this: x)' +5563 +5564 >>> repr(var(column('x', table='y'))) +5565 '(VAR this: x)' +5566 +5567 Args: +5568 name: The name of the var or an expression who's name will become the var. +5569 +5570 Returns: +5571 The new variable node. +5572 """ +5573 if not name: +5574 raise ValueError("Cannot convert empty name into var.") 5575 -5576def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable: -5577 """Build ALTER TABLE... RENAME... expression -5578 -5579 Args: -5580 old_name: The old name of the table -5581 new_name: The new name of the table -5582 -5583 Returns: -5584 Alter table expression -5585 """ -5586 old_table = to_table(old_name) -5587 new_table = to_table(new_name) -5588 return AlterTable( -5589 this=old_table, -5590 actions=[ -5591 RenameTable(this=new_table), -5592 ], -5593 ) -5594 -5595 -5596def convert(value: t.Any, copy: bool = False) -> Expression: -5597 """Convert a python value into an expression object. -5598 -5599 Raises an error if a conversion is not possible. +5576 if isinstance(name, Expression): +5577 name = name.name +5578 return Var(this=name) +5579 +5580 +5581def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable: +5582 """Build ALTER TABLE... RENAME... expression +5583 +5584 Args: +5585 old_name: The old name of the table +5586 new_name: The new name of the table +5587 +5588 Returns: +5589 Alter table expression +5590 """ +5591 old_table = to_table(old_name) +5592 new_table = to_table(new_name) +5593 return AlterTable( +5594 this=old_table, +5595 actions=[ +5596 RenameTable(this=new_table), +5597 ], +5598 ) +5599 5600 -5601 Args: -5602 value: A python object. -5603 copy: Whether or not to copy `value` (only applies to Expressions and collections). -5604 -5605 Returns: -5606 Expression: the equivalent expression object. -5607 """ -5608 if isinstance(value, Expression): -5609 return _maybe_copy(value, copy) -5610 if isinstance(value, str): -5611 return Literal.string(value) -5612 if isinstance(value, bool): -5613 return Boolean(this=value) -5614 if value is None or (isinstance(value, float) and math.isnan(value)): -5615 return NULL -5616 if isinstance(value, numbers.Number): -5617 return Literal.number(value) -5618 if isinstance(value, datetime.datetime): -5619 datetime_literal = Literal.string( -5620 (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat() -5621 ) -5622 return TimeStrToTime(this=datetime_literal) -5623 if isinstance(value, datetime.date): -5624 date_literal = Literal.string(value.strftime("%Y-%m-%d")) -5625 return DateStrToDate(this=date_literal) -5626 if isinstance(value, tuple): -5627 return Tuple(expressions=[convert(v, copy=copy) for v in value]) -5628 if isinstance(value, list): -5629 return Array(expressions=[convert(v, copy=copy) for v in value]) -5630 if isinstance(value, dict): -5631 return Map( -5632 keys=[convert(k, copy=copy) for k in value], -5633 values=[convert(v, copy=copy) for v in value.values()], -5634 ) -5635 raise ValueError(f"Cannot convert {value}") -5636 -5637 -5638def replace_children(expression: Expression, fun: t.Callable, *args, **kwargs) -> None: -5639 """ -5640 Replace children of an expression with the result of a lambda fun(child) -> exp. -5641 """ -5642 for k, v in expression.args.items(): -5643 is_list_arg = type(v) is list -5644 -5645 child_nodes = v if is_list_arg else [v] -5646 new_child_nodes = [] -5647 -5648 for cn in child_nodes: -5649 if isinstance(cn, Expression): -5650 for child_node in ensure_collection(fun(cn, *args, **kwargs)): -5651 new_child_nodes.append(child_node) -5652 child_node.parent = expression -5653 child_node.arg_key = k -5654 else: -5655 new_child_nodes.append(cn) -5656 -5657 expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0) -5658 -5659 -5660def column_table_names(expression: Expression) -> t.List[str]: -5661 """ -5662 Return all table names referenced through columns in an expression. +5601def convert(value: t.Any, copy: bool = False) -> Expression: +5602 """Convert a python value into an expression object. +5603 +5604 Raises an error if a conversion is not possible. +5605 +5606 Args: +5607 value: A python object. +5608 copy: Whether or not to copy `value` (only applies to Expressions and collections). +5609 +5610 Returns: +5611 Expression: the equivalent expression object. +5612 """ +5613 if isinstance(value, Expression): +5614 return _maybe_copy(value, copy) +5615 if isinstance(value, str): +5616 return Literal.string(value) +5617 if isinstance(value, bool): +5618 return Boolean(this=value) +5619 if value is None or (isinstance(value, float) and math.isnan(value)): +5620 return NULL +5621 if isinstance(value, numbers.Number): +5622 return Literal.number(value) +5623 if isinstance(value, datetime.datetime): +5624 datetime_literal = Literal.string( +5625 (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat() +5626 ) +5627 return TimeStrToTime(this=datetime_literal) +5628 if isinstance(value, datetime.date): +5629 date_literal = Literal.string(value.strftime("%Y-%m-%d")) +5630 return DateStrToDate(this=date_literal) +5631 if isinstance(value, tuple): +5632 return Tuple(expressions=[convert(v, copy=copy) for v in value]) +5633 if isinstance(value, list): +5634 return Array(expressions=[convert(v, copy=copy) for v in value]) +5635 if isinstance(value, dict): +5636 return Map( +5637 keys=[convert(k, copy=copy) for k in value], +5638 values=[convert(v, copy=copy) for v in value.values()], +5639 ) +5640 raise ValueError(f"Cannot convert {value}") +5641 +5642 +5643def replace_children(expression: Expression, fun: t.Callable, *args, **kwargs) -> None: +5644 """ +5645 Replace children of an expression with the result of a lambda fun(child) -> exp. +5646 """ +5647 for k, v in expression.args.items(): +5648 is_list_arg = type(v) is list +5649 +5650 child_nodes = v if is_list_arg else [v] +5651 new_child_nodes = [] +5652 +5653 for cn in child_nodes: +5654 if isinstance(cn, Expression): +5655 for child_node in ensure_collection(fun(cn, *args, **kwargs)): +5656 new_child_nodes.append(child_node) +5657 child_node.parent = expression +5658 child_node.arg_key = k +5659 else: +5660 new_child_nodes.append(cn) +5661 +5662 expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0) 5663 -5664 Example: -5665 >>> import sqlglot -5666 >>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e")) -5667 ['c', 'a'] +5664 +5665def column_table_names(expression: Expression, exclude: str = "") -> t.Set[str]: +5666 """ +5667 Return all table names referenced through columns in an expression. 5668 -5669 Args: -5670 expression: expression to find table names. -5671 -5672 Returns: -5673 A list of unique names. -5674 """ -5675 return list(dict.fromkeys(column.table for column in expression.find_all(Column))) -5676 +5669 Example: +5670 >>> import sqlglot +5671 >>> sorted(column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))) +5672 ['a', 'c'] +5673 +5674 Args: +5675 expression: expression to find table names. +5676 exclude: a table name to exclude 5677 -5678def table_name(table: Table | str) -> str: -5679 """Get the full name of a table as a string. -5680 -5681 Args: -5682 table: table expression node or string. -5683 -5684 Examples: -5685 >>> from sqlglot import exp, parse_one -5686 >>> table_name(parse_one("select * from a.b.c").find(exp.Table)) -5687 'a.b.c' -5688 -5689 Returns: -5690 The table name. -5691 """ -5692 -5693 table = maybe_parse(table, into=Table) -5694 -5695 if not table: -5696 raise ValueError(f"Cannot parse {table}") -5697 -5698 return ".".join(part for part in (table.text("catalog"), table.text("db"), table.name) if part) -5699 -5700 -5701def replace_tables(expression: E, mapping: t.Dict[str, str], copy: bool = True) -> E: -5702 """Replace all tables in expression according to the mapping. -5703 -5704 Args: -5705 expression: expression node to be transformed and replaced. -5706 mapping: mapping of table names. -5707 copy: whether or not to copy the expression. -5708 -5709 Examples: -5710 >>> from sqlglot import exp, parse_one -5711 >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql() -5712 'SELECT * FROM c' +5678 Returns: +5679 A list of unique names. +5680 """ +5681 return { +5682 table +5683 for table in (column.table for column in expression.find_all(Column)) +5684 if table and table != exclude +5685 } +5686 +5687 +5688def table_name(table: Table | str) -> str: +5689 """Get the full name of a table as a string. +5690 +5691 Args: +5692 table: table expression node or string. +5693 +5694 Examples: +5695 >>> from sqlglot import exp, parse_one +5696 >>> table_name(parse_one("select * from a.b.c").find(exp.Table)) +5697 'a.b.c' +5698 +5699 Returns: +5700 The table name. +5701 """ +5702 +5703 table = maybe_parse(table, into=Table) +5704 +5705 if not table: +5706 raise ValueError(f"Cannot parse {table}") +5707 +5708 return ".".join(part for part in (table.text("catalog"), table.text("db"), table.name) if part) +5709 +5710 +5711def replace_tables(expression: E, mapping: t.Dict[str, str], copy: bool = True) -> E: +5712 """Replace all tables in expression according to the mapping. 5713 -5714 Returns: -5715 The mapped expression. -5716 """ -5717 -5718 def _replace_tables(node: Expression) -> Expression: -5719 if isinstance(node, Table): -5720 new_name = mapping.get(table_name(node)) -5721 if new_name: -5722 return to_table( -5723 new_name, -5724 **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")}, -5725 ) -5726 return node +5714 Args: +5715 expression: expression node to be transformed and replaced. +5716 mapping: mapping of table names. +5717 copy: whether or not to copy the expression. +5718 +5719 Examples: +5720 >>> from sqlglot import exp, parse_one +5721 >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql() +5722 'SELECT * FROM c' +5723 +5724 Returns: +5725 The mapped expression. +5726 """ 5727 -5728 return expression.transform(_replace_tables, copy=copy) -5729 -5730 -5731def replace_placeholders(expression: Expression, *args, **kwargs) -> Expression: -5732 """Replace placeholders in an expression. -5733 -5734 Args: -5735 expression: expression node to be transformed and replaced. -5736 args: positional names that will substitute unnamed placeholders in the given order. -5737 kwargs: keyword arguments that will substitute named placeholders. -5738 -5739 Examples: -5740 >>> from sqlglot import exp, parse_one -5741 >>> replace_placeholders( -5742 ... parse_one("select * from :tbl where ? = ?"), -5743 ... exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo") -5744 ... ).sql() -5745 "SELECT * FROM foo WHERE str_col = 'b'" -5746 -5747 Returns: -5748 The mapped expression. -5749 """ -5750 -5751 def _replace_placeholders(node: Expression, args, **kwargs) -> Expression: -5752 if isinstance(node, Placeholder): -5753 if node.name: -5754 new_name = kwargs.get(node.name) -5755 if new_name: -5756 return convert(new_name) -5757 else: -5758 try: -5759 return convert(next(args)) -5760 except StopIteration: -5761 pass -5762 return node -5763 -5764 return expression.transform(_replace_placeholders, iter(args), **kwargs) -5765 -5766 -5767def expand( -5768 expression: Expression, sources: t.Dict[str, Subqueryable], copy: bool = True -5769) -> Expression: -5770 """Transforms an expression by expanding all referenced sources into subqueries. -5771 -5772 Examples: -5773 >>> from sqlglot import parse_one -5774 >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql() -5775 'SELECT * FROM (SELECT * FROM y) AS z /* source: x */' +5728 def _replace_tables(node: Expression) -> Expression: +5729 if isinstance(node, Table): +5730 new_name = mapping.get(table_name(node)) +5731 if new_name: +5732 return to_table( +5733 new_name, +5734 **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")}, +5735 ) +5736 return node +5737 +5738 return expression.transform(_replace_tables, copy=copy) +5739 +5740 +5741def replace_placeholders(expression: Expression, *args, **kwargs) -> Expression: +5742 """Replace placeholders in an expression. +5743 +5744 Args: +5745 expression: expression node to be transformed and replaced. +5746 args: positional names that will substitute unnamed placeholders in the given order. +5747 kwargs: keyword arguments that will substitute named placeholders. +5748 +5749 Examples: +5750 >>> from sqlglot import exp, parse_one +5751 >>> replace_placeholders( +5752 ... parse_one("select * from :tbl where ? = ?"), +5753 ... exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo") +5754 ... ).sql() +5755 "SELECT * FROM foo WHERE str_col = 'b'" +5756 +5757 Returns: +5758 The mapped expression. +5759 """ +5760 +5761 def _replace_placeholders(node: Expression, args, **kwargs) -> Expression: +5762 if isinstance(node, Placeholder): +5763 if node.name: +5764 new_name = kwargs.get(node.name) +5765 if new_name: +5766 return convert(new_name) +5767 else: +5768 try: +5769 return convert(next(args)) +5770 except StopIteration: +5771 pass +5772 return node +5773 +5774 return expression.transform(_replace_placeholders, iter(args), **kwargs) +5775 5776 -5777 >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql() -5778 'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */' -5779 -5780 Args: -5781 expression: The expression to expand. -5782 sources: A dictionary of name to Subqueryables. -5783 copy: Whether or not to copy the expression during transformation. Defaults to True. -5784 -5785 Returns: -5786 The transformed expression. -5787 """ -5788 -5789 def _expand(node: Expression): -5790 if isinstance(node, Table): -5791 name = table_name(node) -5792 source = sources.get(name) -5793 if source: -5794 subquery = source.subquery(node.alias or name) -5795 subquery.comments = [f"source: {name}"] -5796 return subquery.transform(_expand, copy=False) -5797 return node +5777def expand( +5778 expression: Expression, sources: t.Dict[str, Subqueryable], copy: bool = True +5779) -> Expression: +5780 """Transforms an expression by expanding all referenced sources into subqueries. +5781 +5782 Examples: +5783 >>> from sqlglot import parse_one +5784 >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql() +5785 'SELECT * FROM (SELECT * FROM y) AS z /* source: x */' +5786 +5787 >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql() +5788 'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */' +5789 +5790 Args: +5791 expression: The expression to expand. +5792 sources: A dictionary of name to Subqueryables. +5793 copy: Whether or not to copy the expression during transformation. Defaults to True. +5794 +5795 Returns: +5796 The transformed expression. +5797 """ 5798 -5799 return expression.transform(_expand, copy=copy) -5800 -5801 -5802def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func: -5803 """ -5804 Returns a Func expression. -5805 -5806 Examples: -5807 >>> func("abs", 5).sql() -5808 'ABS(5)' -5809 -5810 >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql() -5811 'CAST(5 AS DOUBLE)' -5812 -5813 Args: -5814 name: the name of the function to build. -5815 args: the args used to instantiate the function of interest. -5816 dialect: the source dialect. -5817 kwargs: the kwargs used to instantiate the function of interest. -5818 -5819 Note: -5820 The arguments `args` and `kwargs` are mutually exclusive. -5821 -5822 Returns: -5823 An instance of the function of interest, or an anonymous function, if `name` doesn't -5824 correspond to an existing `sqlglot.expressions.Func` class. -5825 """ -5826 if args and kwargs: -5827 raise ValueError("Can't use both args and kwargs to instantiate a function.") +5799 def _expand(node: Expression): +5800 if isinstance(node, Table): +5801 name = table_name(node) +5802 source = sources.get(name) +5803 if source: +5804 subquery = source.subquery(node.alias or name) +5805 subquery.comments = [f"source: {name}"] +5806 return subquery.transform(_expand, copy=False) +5807 return node +5808 +5809 return expression.transform(_expand, copy=copy) +5810 +5811 +5812def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func: +5813 """ +5814 Returns a Func expression. +5815 +5816 Examples: +5817 >>> func("abs", 5).sql() +5818 'ABS(5)' +5819 +5820 >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql() +5821 'CAST(5 AS DOUBLE)' +5822 +5823 Args: +5824 name: the name of the function to build. +5825 args: the args used to instantiate the function of interest. +5826 dialect: the source dialect. +5827 kwargs: the kwargs used to instantiate the function of interest. 5828 -5829 from sqlglot.dialects.dialect import Dialect -5830 -5831 converted: t.List[Expression] = [maybe_parse(arg, dialect=dialect) for arg in args] -5832 kwargs = {key: maybe_parse(value, dialect=dialect) for key, value in kwargs.items()} -5833 -5834 parser = Dialect.get_or_raise(dialect)().parser() -5835 from_args_list = parser.FUNCTIONS.get(name.upper()) -5836 -5837 if from_args_list: -5838 function = from_args_list(converted) if converted else from_args_list.__self__(**kwargs) # type: ignore -5839 else: -5840 kwargs = kwargs or {"expressions": converted} -5841 function = Anonymous(this=name, **kwargs) -5842 -5843 for error_message in function.error_messages(converted): -5844 raise ValueError(error_message) -5845 -5846 return function -5847 -5848 -5849def true() -> Boolean: -5850 """ -5851 Returns a true Boolean expression. -5852 """ -5853 return Boolean(this=True) -5854 +5829 Note: +5830 The arguments `args` and `kwargs` are mutually exclusive. +5831 +5832 Returns: +5833 An instance of the function of interest, or an anonymous function, if `name` doesn't +5834 correspond to an existing `sqlglot.expressions.Func` class. +5835 """ +5836 if args and kwargs: +5837 raise ValueError("Can't use both args and kwargs to instantiate a function.") +5838 +5839 from sqlglot.dialects.dialect import Dialect +5840 +5841 converted: t.List[Expression] = [maybe_parse(arg, dialect=dialect) for arg in args] +5842 kwargs = {key: maybe_parse(value, dialect=dialect) for key, value in kwargs.items()} +5843 +5844 parser = Dialect.get_or_raise(dialect)().parser() +5845 from_args_list = parser.FUNCTIONS.get(name.upper()) +5846 +5847 if from_args_list: +5848 function = from_args_list(converted) if converted else from_args_list.__self__(**kwargs) # type: ignore +5849 else: +5850 kwargs = kwargs or {"expressions": converted} +5851 function = Anonymous(this=name, **kwargs) +5852 +5853 for error_message in function.error_messages(converted): +5854 raise ValueError(error_message) 5855 -5856def false() -> Boolean: -5857 """ -5858 Returns a false Boolean expression. -5859 """ -5860 return Boolean(this=False) -5861 -5862 -5863def null() -> Null: -5864 """ -5865 Returns a Null expression. -5866 """ -5867 return Null() -5868 -5869 -5870# TODO: deprecate this -5871TRUE = Boolean(this=True) -5872FALSE = Boolean(this=False) -5873NULL = Null() +5856 return function +5857 +5858 +5859def true() -> Boolean: +5860 """ +5861 Returns a true Boolean expression. +5862 """ +5863 return Boolean(this=True) +5864 +5865 +5866def false() -> Boolean: +5867 """ +5868 Returns a false Boolean expression. +5869 """ +5870 return Boolean(this=False) +5871 +5872 +5873def null() -> Null: +5874 """ +5875 Returns a Null expression. +5876 """ +5877 return Null() +5878 +5879 +5880# TODO: deprecate this +5881TRUE = Boolean(this=True) +5882FALSE = Boolean(this=False) +5883NULL = Null()
    • @@ -19528,6 +19544,71 @@ Otherwise, this resets the expression.
    dump
    load
    +
    +
    +
    + +
    + +
    + + class + CopyGrantsProperty(Property): + + + +
    + + 
    1848class CopyGrantsProperty(Property):
+1849    arg_types = {}
+
    + + + + +
    +
    Inherited Members
    +
    +
    @@ -19543,14 +19624,14 @@ Otherwise, this resets the expression.
    - 
    1848class DataBlocksizeProperty(Property):
-1849    arg_types = {
-1850        "size": False,
-1851        "units": False,
-1852        "minimum": False,
-1853        "maximum": False,
-1854        "default": False,
-1855    }
+            
    1852class DataBlocksizeProperty(Property):
+1853    arg_types = {
+1854        "size": False,
+1855        "units": False,
+1856        "minimum": False,
+1857        "maximum": False,
+1858        "default": False,
+1859    }
 
    
 
 
@@ -19614,8 +19695,8 @@ Otherwise, this resets the expression.
    - 
    1858class DefinerProperty(Property):
-1859    arg_types = {"this": True}
+            
    1862class DefinerProperty(Property):
+1863    arg_types = {"this": True}
 
    
 
 
@@ -19679,8 +19760,8 @@ Otherwise, this resets the expression.
    - 
    1862class DistKeyProperty(Property):
-1863    arg_types = {"this": True}
+            
    1866class DistKeyProperty(Property):
+1867    arg_types = {"this": True}
 
    
 
 
@@ -19744,8 +19825,8 @@ Otherwise, this resets the expression.
    - 
    1866class DistStyleProperty(Property):
-1867    arg_types = {"this": True}
+            
    1870class DistStyleProperty(Property):
+1871    arg_types = {"this": True}
 
    
 
 
@@ -19809,8 +19890,8 @@ Otherwise, this resets the expression.
    - 
    1870class EngineProperty(Property):
-1871    arg_types = {"this": True}
+            
    1874class EngineProperty(Property):
+1875    arg_types = {"this": True}
 
    
 
 
@@ -19874,8 +19955,8 @@ Otherwise, this resets the expression.
    - 
    1874class ToTableProperty(Property):
-1875    arg_types = {"this": True}
+            
    1878class ToTableProperty(Property):
+1879    arg_types = {"this": True}
 
    
 
 
@@ -19939,8 +20020,8 @@ Otherwise, this resets the expression.
    - 
    1878class ExecuteAsProperty(Property):
-1879    arg_types = {"this": True}
+            
    1882class ExecuteAsProperty(Property):
+1883    arg_types = {"this": True}
 
    
 
 
@@ -20004,8 +20085,8 @@ Otherwise, this resets the expression.
    - 
    1882class ExternalProperty(Property):
-1883    arg_types = {"this": False}
+            
    1886class ExternalProperty(Property):
+1887    arg_types = {"this": False}
 
    
 
 
@@ -20069,8 +20150,8 @@ Otherwise, this resets the expression.
    - 
    1886class FallbackProperty(Property):
-1887    arg_types = {"no": True, "protection": False}
+            
    1890class FallbackProperty(Property):
+1891    arg_types = {"no": True, "protection": False}
 
    
 
 
@@ -20134,8 +20215,8 @@ Otherwise, this resets the expression.
    - 
    1890class FileFormatProperty(Property):
-1891    arg_types = {"this": True}
+            
    1894class FileFormatProperty(Property):
+1895    arg_types = {"this": True}
 
    
 
 
@@ -20199,8 +20280,8 @@ Otherwise, this resets the expression.
    - 
    1894class FreespaceProperty(Property):
-1895    arg_types = {"this": True, "percent": False}
+            
    1898class FreespaceProperty(Property):
+1899    arg_types = {"this": True, "percent": False}
 
    
 
 
@@ -20264,8 +20345,8 @@ Otherwise, this resets the expression.
    - 
    1898class InputOutputFormat(Expression):
-1899    arg_types = {"input_format": False, "output_format": False}
+            
    1902class InputOutputFormat(Expression):
+1903    arg_types = {"input_format": False, "output_format": False}
 
    
 
 
@@ -20329,14 +20410,14 @@ Otherwise, this resets the expression.
    - 
    1902class IsolatedLoadingProperty(Property):
-1903    arg_types = {
-1904        "no": True,
-1905        "concurrent": True,
-1906        "for_all": True,
-1907        "for_insert": True,
-1908        "for_none": True,
-1909    }
+            
    1906class IsolatedLoadingProperty(Property):
+1907    arg_types = {
+1908        "no": True,
+1909        "concurrent": True,
+1910        "for_all": True,
+1911        "for_insert": True,
+1912        "for_none": True,
+1913    }
 
    
 
 
@@ -20400,14 +20481,14 @@ Otherwise, this resets the expression.
    - 
    1912class JournalProperty(Property):
-1913    arg_types = {
-1914        "no": False,
-1915        "dual": False,
-1916        "before": False,
-1917        "local": False,
-1918        "after": False,
-1919    }
+            
    1916class JournalProperty(Property):
+1917    arg_types = {
+1918        "no": False,
+1919        "dual": False,
+1920        "before": False,
+1921        "local": False,
+1922        "after": False,
+1923    }
 
    
 
 
@@ -20471,8 +20552,8 @@ Otherwise, this resets the expression.
    - 
    1922class LanguageProperty(Property):
-1923    arg_types = {"this": True}
+            
    1926class LanguageProperty(Property):
+1927    arg_types = {"this": True}
 
    
 
 
@@ -20536,8 +20617,8 @@ Otherwise, this resets the expression.
    - 
    1926class DictProperty(Property):
-1927    arg_types = {"this": True, "kind": True, "settings": False}
+            
    1930class DictProperty(Property):
+1931    arg_types = {"this": True, "kind": True, "settings": False}
 
    
 
 
@@ -20601,8 +20682,8 @@ Otherwise, this resets the expression.
    - 
    1930class DictSubProperty(Property):
-1931    pass
+            
    1934class DictSubProperty(Property):
+1935    pass
 
    
 
 
@@ -20666,8 +20747,8 @@ Otherwise, this resets the expression.
    - 
    1934class DictRange(Property):
-1935    arg_types = {"this": True, "min": True, "max": True}
+            
    1938class DictRange(Property):
+1939    arg_types = {"this": True, "min": True, "max": True}
 
    
 
 
@@ -20731,8 +20812,8 @@ Otherwise, this resets the expression.
    - 
    1940class OnCluster(Property):
-1941    arg_types = {"this": True}
+            
    1944class OnCluster(Property):
+1945    arg_types = {"this": True}
 
    
 
 
@@ -20796,8 +20877,8 @@ Otherwise, this resets the expression.
    - 
    1944class LikeProperty(Property):
-1945    arg_types = {"this": True, "expressions": False}
+            
    1948class LikeProperty(Property):
+1949    arg_types = {"this": True, "expressions": False}
 
    
 
 
@@ -20861,8 +20942,8 @@ Otherwise, this resets the expression.
    - 
    1948class LocationProperty(Property):
-1949    arg_types = {"this": True}
+            
    1952class LocationProperty(Property):
+1953    arg_types = {"this": True}
 
    
 
 
@@ -20926,14 +21007,14 @@ Otherwise, this resets the expression.
    - 
    1952class LockingProperty(Property):
-1953    arg_types = {
-1954        "this": False,
-1955        "kind": True,
-1956        "for_or_in": True,
-1957        "lock_type": True,
-1958        "override": False,
-1959    }
+            
    1956class LockingProperty(Property):
+1957    arg_types = {
+1958        "this": False,
+1959        "kind": True,
+1960        "for_or_in": True,
+1961        "lock_type": True,
+1962        "override": False,
+1963    }
 
    
 
 
@@ -20997,8 +21078,8 @@ Otherwise, this resets the expression.
    - 
    1962class LogProperty(Property):
-1963    arg_types = {"no": True}
+            
    1966class LogProperty(Property):
+1967    arg_types = {"no": True}
 
    
 
 
@@ -21062,8 +21143,8 @@ Otherwise, this resets the expression.
    - 
    1966class MaterializedProperty(Property):
-1967    arg_types = {"this": False}
+            
    1970class MaterializedProperty(Property):
+1971    arg_types = {"this": False}
 
    
 
 
@@ -21127,8 +21208,8 @@ Otherwise, this resets the expression.
    - 
    1970class MergeBlockRatioProperty(Property):
-1971    arg_types = {"this": False, "no": False, "default": False, "percent": False}
+            
    1974class MergeBlockRatioProperty(Property):
+1975    arg_types = {"this": False, "no": False, "default": False, "percent": False}
 
    
 
 
@@ -21192,8 +21273,8 @@ Otherwise, this resets the expression.
    - 
    1974class NoPrimaryIndexProperty(Property):
-1975    arg_types = {}
+            
    1978class NoPrimaryIndexProperty(Property):
+1979    arg_types = {}
 
    
 
 
@@ -21257,8 +21338,8 @@ Otherwise, this resets the expression.
    - 
    1978class OnCommitProperty(Property):
-1979    arg_type = {"delete": False}
+            
    1982class OnCommitProperty(Property):
+1983    arg_type = {"delete": False}
 
    
 
 
@@ -21322,8 +21403,8 @@ Otherwise, this resets the expression.
    - 
    1982class PartitionedByProperty(Property):
-1983    arg_types = {"this": True}
+            
    1986class PartitionedByProperty(Property):
+1987    arg_types = {"this": True}
 
    
 
 
@@ -21387,8 +21468,8 @@ Otherwise, this resets the expression.
    - 
    1986class ReturnsProperty(Property):
-1987    arg_types = {"this": True, "is_table": False, "table": False}
+            
    1990class ReturnsProperty(Property):
+1991    arg_types = {"this": True, "is_table": False, "table": False}
 
    
 
 
@@ -21452,8 +21533,8 @@ Otherwise, this resets the expression.
    - 
    1990class RowFormatProperty(Property):
-1991    arg_types = {"this": True}
+            
    1994class RowFormatProperty(Property):
+1995    arg_types = {"this": True}
 
    
 
 
@@ -21517,17 +21598,17 @@ Otherwise, this resets the expression.
    - 
    1994class RowFormatDelimitedProperty(Property):
-1995    # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml
-1996    arg_types = {
-1997        "fields": False,
-1998        "escaped": False,
-1999        "collection_items": False,
-2000        "map_keys": False,
-2001        "lines": False,
-2002        "null": False,
-2003        "serde": False,
-2004    }
+            
    1998class RowFormatDelimitedProperty(Property):
+1999    # https://cwiki.apache.org/confluence/display/hive/languagemanual+dml
+2000    arg_types = {
+2001        "fields": False,
+2002        "escaped": False,
+2003        "collection_items": False,
+2004        "map_keys": False,
+2005        "lines": False,
+2006        "null": False,
+2007        "serde": False,
+2008    }
 
    
 
 
@@ -21591,8 +21672,8 @@ Otherwise, this resets the expression.
    - 
    2007class RowFormatSerdeProperty(Property):
-2008    arg_types = {"this": True}
+            
    2011class RowFormatSerdeProperty(Property):
+2012    arg_types = {"this": True}
 
    
 
 
@@ -21656,8 +21737,8 @@ Otherwise, this resets the expression.
    - 
    2011class SchemaCommentProperty(Property):
-2012    arg_types = {"this": True}
+            
    2015class SchemaCommentProperty(Property):
+2016    arg_types = {"this": True}
 
    
 
 
@@ -21721,8 +21802,8 @@ Otherwise, this resets the expression.
    - 
    2015class SerdeProperties(Property):
-2016    arg_types = {"expressions": True}
+            
    2019class SerdeProperties(Property):
+2020    arg_types = {"expressions": True}
 
    
 
 
@@ -21786,8 +21867,8 @@ Otherwise, this resets the expression.
    - 
    2019class SetProperty(Property):
-2020    arg_types = {"multi": True}
+            
    2023class SetProperty(Property):
+2024    arg_types = {"multi": True}
 
    
 
 
@@ -21851,8 +21932,8 @@ Otherwise, this resets the expression.
    - 
    2023class SettingsProperty(Property):
-2024    arg_types = {"expressions": True}
+            
    2027class SettingsProperty(Property):
+2028    arg_types = {"expressions": True}
 
    
 
 
@@ -21916,8 +21997,8 @@ Otherwise, this resets the expression.
    - 
    2027class SortKeyProperty(Property):
-2028    arg_types = {"this": True, "compound": False}
+            
    2031class SortKeyProperty(Property):
+2032    arg_types = {"this": True, "compound": False}
 
    
 
 
@@ -21981,8 +22062,8 @@ Otherwise, this resets the expression.
    - 
    2031class SqlSecurityProperty(Property):
-2032    arg_types = {"definer": True}
+            
    2035class SqlSecurityProperty(Property):
+2036    arg_types = {"definer": True}
 
    
 
 
@@ -22046,8 +22127,8 @@ Otherwise, this resets the expression.
    - 
    2035class StabilityProperty(Property):
-2036    arg_types = {"this": True}
+            
    2039class StabilityProperty(Property):
+2040    arg_types = {"this": True}
 
    
 
 
@@ -22111,8 +22192,8 @@ Otherwise, this resets the expression.
    - 
    2039class TemporaryProperty(Property):
-2040    arg_types = {}
+            
    2043class TemporaryProperty(Property):
+2044    arg_types = {}
 
    
 
 
@@ -22176,8 +22257,8 @@ Otherwise, this resets the expression.
    - 
    2043class TransientProperty(Property):
-2044    arg_types = {"this": False}
+            
    2047class TransientProperty(Property):
+2048    arg_types = {"this": False}
 
    
 
 
@@ -22241,8 +22322,8 @@ Otherwise, this resets the expression.
    - 
    2047class VolatileProperty(Property):
-2048    arg_types = {"this": False}
+            
    2051class VolatileProperty(Property):
+2052    arg_types = {"this": False}
 
    
 
 
@@ -22306,8 +22387,8 @@ Otherwise, this resets the expression.
    - 
    2051class WithDataProperty(Property):
-2052    arg_types = {"no": True, "statistics": False}
+            
    2055class WithDataProperty(Property):
+2056    arg_types = {"no": True, "statistics": False}
 
    
 
 
@@ -22371,8 +22452,8 @@ Otherwise, this resets the expression.
    - 
    2055class WithJournalTableProperty(Property):
-2056    arg_types = {"this": True}
+            
    2059class WithJournalTableProperty(Property):
+2060    arg_types = {"this": True}
 
    
 
 
@@ -22436,65 +22517,65 @@ Otherwise, this resets the expression.
    - 
    2059class Properties(Expression):
-2060    arg_types = {"expressions": True}
-2061
-2062    NAME_TO_PROPERTY = {
-2063        "ALGORITHM": AlgorithmProperty,
-2064        "AUTO_INCREMENT": AutoIncrementProperty,
-2065        "CHARACTER SET": CharacterSetProperty,
-2066        "COLLATE": CollateProperty,
-2067        "COMMENT": SchemaCommentProperty,
-2068        "DEFINER": DefinerProperty,
-2069        "DISTKEY": DistKeyProperty,
-2070        "DISTSTYLE": DistStyleProperty,
-2071        "ENGINE": EngineProperty,
-2072        "EXECUTE AS": ExecuteAsProperty,
-2073        "FORMAT": FileFormatProperty,
-2074        "LANGUAGE": LanguageProperty,
-2075        "LOCATION": LocationProperty,
-2076        "PARTITIONED_BY": PartitionedByProperty,
-2077        "RETURNS": ReturnsProperty,
-2078        "ROW_FORMAT": RowFormatProperty,
-2079        "SORTKEY": SortKeyProperty,
-2080    }
-2081
-2082    PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()}
-2083
-2084    # CREATE property locations
-2085    # Form: schema specified
-2086    #   create [POST_CREATE]
-2087    #     table a [POST_NAME]
-2088    #     (b int) [POST_SCHEMA]
-2089    #     with ([POST_WITH])
-2090    #     index (b) [POST_INDEX]
-2091    #
-2092    # Form: alias selection
-2093    #   create [POST_CREATE]
-2094    #     table a [POST_NAME]
-2095    #     as [POST_ALIAS] (select * from b) [POST_EXPRESSION]
-2096    #     index (c) [POST_INDEX]
-2097    class Location(AutoName):
-2098        POST_CREATE = auto()
-2099        POST_NAME = auto()
-2100        POST_SCHEMA = auto()
-2101        POST_WITH = auto()
-2102        POST_ALIAS = auto()
-2103        POST_EXPRESSION = auto()
-2104        POST_INDEX = auto()
-2105        UNSUPPORTED = auto()
-2106
-2107    @classmethod
-2108    def from_dict(cls, properties_dict: t.Dict) -> Properties:
-2109        expressions = []
-2110        for key, value in properties_dict.items():
-2111            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
-2112            if property_cls:
-2113                expressions.append(property_cls(this=convert(value)))
-2114            else:
-2115                expressions.append(Property(this=Literal.string(key), value=convert(value)))
-2116
-2117        return cls(expressions=expressions)
+            
    2063class Properties(Expression):
+2064    arg_types = {"expressions": True}
+2065
+2066    NAME_TO_PROPERTY = {
+2067        "ALGORITHM": AlgorithmProperty,
+2068        "AUTO_INCREMENT": AutoIncrementProperty,
+2069        "CHARACTER SET": CharacterSetProperty,
+2070        "COLLATE": CollateProperty,
+2071        "COMMENT": SchemaCommentProperty,
+2072        "DEFINER": DefinerProperty,
+2073        "DISTKEY": DistKeyProperty,
+2074        "DISTSTYLE": DistStyleProperty,
+2075        "ENGINE": EngineProperty,
+2076        "EXECUTE AS": ExecuteAsProperty,
+2077        "FORMAT": FileFormatProperty,
+2078        "LANGUAGE": LanguageProperty,
+2079        "LOCATION": LocationProperty,
+2080        "PARTITIONED_BY": PartitionedByProperty,
+2081        "RETURNS": ReturnsProperty,
+2082        "ROW_FORMAT": RowFormatProperty,
+2083        "SORTKEY": SortKeyProperty,
+2084    }
+2085
+2086    PROPERTY_TO_NAME = {v: k for k, v in NAME_TO_PROPERTY.items()}
+2087
+2088    # CREATE property locations
+2089    # Form: schema specified
+2090    #   create [POST_CREATE]
+2091    #     table a [POST_NAME]
+2092    #     (b int) [POST_SCHEMA]
+2093    #     with ([POST_WITH])
+2094    #     index (b) [POST_INDEX]
+2095    #
+2096    # Form: alias selection
+2097    #   create [POST_CREATE]
+2098    #     table a [POST_NAME]
+2099    #     as [POST_ALIAS] (select * from b) [POST_EXPRESSION]
+2100    #     index (c) [POST_INDEX]
+2101    class Location(AutoName):
+2102        POST_CREATE = auto()
+2103        POST_NAME = auto()
+2104        POST_SCHEMA = auto()
+2105        POST_WITH = auto()
+2106        POST_ALIAS = auto()
+2107        POST_EXPRESSION = auto()
+2108        POST_INDEX = auto()
+2109        UNSUPPORTED = auto()
+2110
+2111    @classmethod
+2112    def from_dict(cls, properties_dict: t.Dict) -> Properties:
+2113        expressions = []
+2114        for key, value in properties_dict.items():
+2115            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
+2116            if property_cls:
+2117                expressions.append(property_cls(this=convert(value)))
+2118            else:
+2119                expressions.append(Property(this=Literal.string(key), value=convert(value)))
+2120
+2121        return cls(expressions=expressions)
 
    
 
 
@@ -22512,17 +22593,17 @@ Otherwise, this resets the expression.
    - 
    2107    @classmethod
-2108    def from_dict(cls, properties_dict: t.Dict) -> Properties:
-2109        expressions = []
-2110        for key, value in properties_dict.items():
-2111            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
-2112            if property_cls:
-2113                expressions.append(property_cls(this=convert(value)))
-2114            else:
-2115                expressions.append(Property(this=Literal.string(key), value=convert(value)))
-2116
-2117        return cls(expressions=expressions)
+            
    2111    @classmethod
+2112    def from_dict(cls, properties_dict: t.Dict) -> Properties:
+2113        expressions = []
+2114        for key, value in properties_dict.items():
+2115            property_cls = cls.NAME_TO_PROPERTY.get(key.upper())
+2116            if property_cls:
+2117                expressions.append(property_cls(this=convert(value)))
+2118            else:
+2119                expressions.append(Property(this=Literal.string(key), value=convert(value)))
+2120
+2121        return cls(expressions=expressions)
 
    
 
 
@@ -22587,15 +22668,15 @@ Otherwise, this resets the expression.
    - 
    2097    class Location(AutoName):
-2098        POST_CREATE = auto()
-2099        POST_NAME = auto()
-2100        POST_SCHEMA = auto()
-2101        POST_WITH = auto()
-2102        POST_ALIAS = auto()
-2103        POST_EXPRESSION = auto()
-2104        POST_INDEX = auto()
-2105        UNSUPPORTED = auto()
+            
    2101    class Location(AutoName):
+2102        POST_CREATE = auto()
+2103        POST_NAME = auto()
+2104        POST_SCHEMA = auto()
+2105        POST_WITH = auto()
+2106        POST_ALIAS = auto()
+2107        POST_EXPRESSION = auto()
+2108        POST_INDEX = auto()
+2109        UNSUPPORTED = auto()
 
    
 
 
@@ -22721,8 +22802,8 @@ Otherwise, this resets the expression.
    - 
    2120class Qualify(Expression):
-2121    pass
+            
    2124class Qualify(Expression):
+2125    pass
 
    
 
 
@@ -22786,8 +22867,8 @@ Otherwise, this resets the expression.
    - 
    2125class Return(Expression):
-2126    pass
+            
    2129class Return(Expression):
+2130    pass
 
    
 
 
@@ -22851,8 +22932,8 @@ Otherwise, this resets the expression.
    - 
    2129class Reference(Expression):
-2130    arg_types = {"this": True, "expressions": False, "options": False}
+            
    2133class Reference(Expression):
+2134    arg_types = {"this": True, "expressions": False, "options": False}
 
    
 
 
@@ -22916,17 +22997,17 @@ Otherwise, this resets the expression.
    - 
    2133class Tuple(Expression):
-2134    arg_types = {"expressions": False}
-2135
-2136    def isin(
-2137        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts
-2138    ) -> In:
-2139        return In(
-2140            this=_maybe_copy(self, copy),
-2141            expressions=[convert(e, copy=copy) for e in expressions],
-2142            query=maybe_parse(query, copy=copy, **opts) if query else None,
-2143        )
+            
    2137class Tuple(Expression):
+2138    arg_types = {"expressions": False}
+2139
+2140    def isin(
+2141        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts
+2142    ) -> In:
+2143        return In(
+2144            this=_maybe_copy(self, copy),
+2145            expressions=[convert(e, copy=copy) for e in expressions],
+2146            query=maybe_parse(query, copy=copy, **opts) if query else None,
+2147        )
 
    
 
 
@@ -22943,14 +23024,14 @@ Otherwise, this resets the expression.
    - 
    2136    def isin(
-2137        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts
-2138    ) -> In:
-2139        return In(
-2140            this=_maybe_copy(self, copy),
-2141            expressions=[convert(e, copy=copy) for e in expressions],
-2142            query=maybe_parse(query, copy=copy, **opts) if query else None,
-2143        )
+            
    2140    def isin(
+2141        self, *expressions: t.Any, query: t.Optional[ExpOrStr] = None, copy: bool = True, **opts
+2142    ) -> In:
+2143        return In(
+2144            this=_maybe_copy(self, copy),
+2145            expressions=[convert(e, copy=copy) for e in expressions],
+2146            query=maybe_parse(query, copy=copy, **opts) if query else None,
+2147        )
 
    
 
 
@@ -23015,84 +23096,84 @@ Otherwise, this resets the expression.
    - 
    2146class Subqueryable(Unionable):
-2147    def subquery(self, alias: t.Optional[ExpOrStr] = None, copy: bool = True) -> Subquery:
-2148        """
-2149        Convert this expression to an aliased expression that can be used as a Subquery.
-2150
-2151        Example:
-2152            >>> subquery = Select().select("x").from_("tbl").subquery()
-2153            >>> Select().select("x").from_(subquery).sql()
-2154            'SELECT x FROM (SELECT x FROM tbl)'
-2155
-2156        Args:
-2157            alias (str | Identifier): an optional alias for the subquery
-2158            copy (bool): if `False`, modify this expression instance in-place.
+            
    2150class Subqueryable(Unionable):
+2151    def subquery(self, alias: t.Optional[ExpOrStr] = None, copy: bool = True) -> Subquery:
+2152        """
+2153        Convert this expression to an aliased expression that can be used as a Subquery.
+2154
+2155        Example:
+2156            >>> subquery = Select().select("x").from_("tbl").subquery()
+2157            >>> Select().select("x").from_(subquery).sql()
+2158            'SELECT x FROM (SELECT x FROM tbl)'
 2159
-2160        Returns:
-2161            Alias: the subquery
-2162        """
-2163        instance = _maybe_copy(self, copy)
-2164        if not isinstance(alias, Expression):
-2165            alias = TableAlias(this=to_identifier(alias)) if alias else None
-2166
-2167        return Subquery(this=instance, alias=alias)
-2168
-2169    def limit(
-2170        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
-2171    ) -> Select:
-2172        raise NotImplementedError
-2173
-2174    @property
-2175    def ctes(self):
-2176        with_ = self.args.get("with")
-2177        if not with_:
-2178            return []
-2179        return with_.expressions
-2180
-2181    @property
-2182    def selects(self):
-2183        raise NotImplementedError("Subqueryable objects must implement `selects`")
+2160        Args:
+2161            alias (str | Identifier): an optional alias for the subquery
+2162            copy (bool): if `False`, modify this expression instance in-place.
+2163
+2164        Returns:
+2165            Alias: the subquery
+2166        """
+2167        instance = _maybe_copy(self, copy)
+2168        if not isinstance(alias, Expression):
+2169            alias = TableAlias(this=to_identifier(alias)) if alias else None
+2170
+2171        return Subquery(this=instance, alias=alias)
+2172
+2173    def limit(
+2174        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2175    ) -> Select:
+2176        raise NotImplementedError
+2177
+2178    @property
+2179    def ctes(self):
+2180        with_ = self.args.get("with")
+2181        if not with_:
+2182            return []
+2183        return with_.expressions
 2184
 2185    @property
-2186    def named_selects(self):
-2187        raise NotImplementedError("Subqueryable objects must implement `named_selects`")
+2186    def selects(self):
+2187        raise NotImplementedError("Subqueryable objects must implement `selects`")
 2188
-2189    def with_(
-2190        self,
-2191        alias: ExpOrStr,
-2192        as_: ExpOrStr,
-2193        recursive: t.Optional[bool] = None,
-2194        append: bool = True,
-2195        dialect: DialectType = None,
-2196        copy: bool = True,
-2197        **opts,
-2198    ) -> Subqueryable:
-2199        """
-2200        Append to or set the common table expressions.
-2201
-2202        Example:
-2203            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
-2204            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
+2189    @property
+2190    def named_selects(self):
+2191        raise NotImplementedError("Subqueryable objects must implement `named_selects`")
+2192
+2193    def with_(
+2194        self,
+2195        alias: ExpOrStr,
+2196        as_: ExpOrStr,
+2197        recursive: t.Optional[bool] = None,
+2198        append: bool = True,
+2199        dialect: DialectType = None,
+2200        copy: bool = True,
+2201        **opts,
+2202    ) -> Subqueryable:
+2203        """
+2204        Append to or set the common table expressions.
 2205
-2206        Args:
-2207            alias: the SQL code string to parse as the table name.
-2208                If an `Expression` instance is passed, this is used as-is.
-2209            as_: the SQL code string to parse as the table expression.
-2210                If an `Expression` instance is passed, it will be used as-is.
-2211            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
-2212            append: if `True`, add to any existing expressions.
-2213                Otherwise, this resets the expressions.
-2214            dialect: the dialect used to parse the input expression.
-2215            copy: if `False`, modify this expression instance in-place.
-2216            opts: other options to use to parse the input expressions.
-2217
-2218        Returns:
-2219            The modified expression.
-2220        """
-2221        return _apply_cte_builder(
-2222            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
-2223        )
+2206        Example:
+2207            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
+2208            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
+2209
+2210        Args:
+2211            alias: the SQL code string to parse as the table name.
+2212                If an `Expression` instance is passed, this is used as-is.
+2213            as_: the SQL code string to parse as the table expression.
+2214                If an `Expression` instance is passed, it will be used as-is.
+2215            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
+2216            append: if `True`, add to any existing expressions.
+2217                Otherwise, this resets the expressions.
+2218            dialect: the dialect used to parse the input expression.
+2219            copy: if `False`, modify this expression instance in-place.
+2220            opts: other options to use to parse the input expressions.
+2221
+2222        Returns:
+2223            The modified expression.
+2224        """
+2225        return _apply_cte_builder(
+2226            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
+2227        )
 
    
 
 
@@ -23109,27 +23190,27 @@ Otherwise, this resets the expression.
    - 
    2147    def subquery(self, alias: t.Optional[ExpOrStr] = None, copy: bool = True) -> Subquery:
-2148        """
-2149        Convert this expression to an aliased expression that can be used as a Subquery.
-2150
-2151        Example:
-2152            >>> subquery = Select().select("x").from_("tbl").subquery()
-2153            >>> Select().select("x").from_(subquery).sql()
-2154            'SELECT x FROM (SELECT x FROM tbl)'
-2155
-2156        Args:
-2157            alias (str | Identifier): an optional alias for the subquery
-2158            copy (bool): if `False`, modify this expression instance in-place.
+            
    2151    def subquery(self, alias: t.Optional[ExpOrStr] = None, copy: bool = True) -> Subquery:
+2152        """
+2153        Convert this expression to an aliased expression that can be used as a Subquery.
+2154
+2155        Example:
+2156            >>> subquery = Select().select("x").from_("tbl").subquery()
+2157            >>> Select().select("x").from_(subquery).sql()
+2158            'SELECT x FROM (SELECT x FROM tbl)'
 2159
-2160        Returns:
-2161            Alias: the subquery
-2162        """
-2163        instance = _maybe_copy(self, copy)
-2164        if not isinstance(alias, Expression):
-2165            alias = TableAlias(this=to_identifier(alias)) if alias else None
-2166
-2167        return Subquery(this=instance, alias=alias)
+2160        Args:
+2161            alias (str | Identifier): an optional alias for the subquery
+2162            copy (bool): if `False`, modify this expression instance in-place.
+2163
+2164        Returns:
+2165            Alias: the subquery
+2166        """
+2167        instance = _maybe_copy(self, copy)
+2168        if not isinstance(alias, Expression):
+2169            alias = TableAlias(this=to_identifier(alias)) if alias else None
+2170
+2171        return Subquery(this=instance, alias=alias)
 
    
 
 
@@ -23173,10 +23254,10 @@ Otherwise, this resets the expression.
    - 
    2169    def limit(
-2170        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
-2171    ) -> Select:
-2172        raise NotImplementedError
+            
    2173    def limit(
+2174        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2175    ) -> Select:
+2176        raise NotImplementedError
 
    
 
 
@@ -23194,41 +23275,41 @@ Otherwise, this resets the expression.
    - 
    2189    def with_(
-2190        self,
-2191        alias: ExpOrStr,
-2192        as_: ExpOrStr,
-2193        recursive: t.Optional[bool] = None,
-2194        append: bool = True,
-2195        dialect: DialectType = None,
-2196        copy: bool = True,
-2197        **opts,
-2198    ) -> Subqueryable:
-2199        """
-2200        Append to or set the common table expressions.
-2201
-2202        Example:
-2203            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
-2204            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
+            
    2193    def with_(
+2194        self,
+2195        alias: ExpOrStr,
+2196        as_: ExpOrStr,
+2197        recursive: t.Optional[bool] = None,
+2198        append: bool = True,
+2199        dialect: DialectType = None,
+2200        copy: bool = True,
+2201        **opts,
+2202    ) -> Subqueryable:
+2203        """
+2204        Append to or set the common table expressions.
 2205
-2206        Args:
-2207            alias: the SQL code string to parse as the table name.
-2208                If an `Expression` instance is passed, this is used as-is.
-2209            as_: the SQL code string to parse as the table expression.
-2210                If an `Expression` instance is passed, it will be used as-is.
-2211            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
-2212            append: if `True`, add to any existing expressions.
-2213                Otherwise, this resets the expressions.
-2214            dialect: the dialect used to parse the input expression.
-2215            copy: if `False`, modify this expression instance in-place.
-2216            opts: other options to use to parse the input expressions.
-2217
-2218        Returns:
-2219            The modified expression.
-2220        """
-2221        return _apply_cte_builder(
-2222            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
-2223        )
+2206        Example:
+2207            >>> Select().with_("tbl2", as_="SELECT * FROM tbl").select("x").from_("tbl2").sql()
+2208            'WITH tbl2 AS (SELECT * FROM tbl) SELECT x FROM tbl2'
+2209
+2210        Args:
+2211            alias: the SQL code string to parse as the table name.
+2212                If an `Expression` instance is passed, this is used as-is.
+2213            as_: the SQL code string to parse as the table expression.
+2214                If an `Expression` instance is passed, it will be used as-is.
+2215            recursive: set the RECURSIVE part of the expression. Defaults to `False`.
+2216            append: if `True`, add to any existing expressions.
+2217                Otherwise, this resets the expressions.
+2218            dialect: the dialect used to parse the input expression.
+2219            copy: if `False`, modify this expression instance in-place.
+2220            opts: other options to use to parse the input expressions.
+2221
+2222        Returns:
+2223            The modified expression.
+2224        """
+2225        return _apply_cte_builder(
+2226            self, alias, as_, recursive=recursive, append=append, dialect=dialect, copy=copy, **opts
+2227        )
 
    
 
 
@@ -23332,35 +23413,35 @@ Otherwise, this resets the expressions.
    - 
    2249class Table(Expression):
-2250    arg_types = {
-2251        "this": True,
-2252        "alias": False,
-2253        "db": False,
-2254        "catalog": False,
-2255        "laterals": False,
-2256        "joins": False,
-2257        "pivots": False,
-2258        "hints": False,
-2259        "system_time": False,
-2260    }
-2261
-2262    @property
-2263    def db(self) -> str:
-2264        return self.text("db")
+            
    2253class Table(Expression):
+2254    arg_types = {
+2255        "this": True,
+2256        "alias": False,
+2257        "db": False,
+2258        "catalog": False,
+2259        "laterals": False,
+2260        "joins": False,
+2261        "pivots": False,
+2262        "hints": False,
+2263        "system_time": False,
+2264    }
 2265
 2266    @property
-2267    def catalog(self) -> str:
-2268        return self.text("catalog")
+2267    def db(self) -> str:
+2268        return self.text("db")
 2269
 2270    @property
-2271    def parts(self) -> t.List[Identifier]:
-2272        """Return the parts of a table in order catalog, db, table."""
-2273        return [
-2274            t.cast(Identifier, self.args[part])
-2275            for part in ("catalog", "db", "this")
-2276            if self.args.get(part)
-2277        ]
+2271    def catalog(self) -> str:
+2272        return self.text("catalog")
+2273
+2274    @property
+2275    def parts(self) -> t.List[Identifier]:
+2276        """Return the parts of a table in order catalog, db, table."""
+2277        return [
+2278            t.cast(Identifier, self.args[part])
+2279            for part in ("catalog", "db", "this")
+2280            if self.args.get(part)
+2281        ]
 
    
 
 
@@ -23437,12 +23518,12 @@ Otherwise, this resets the expressions.
    - 
    2281class SystemTime(Expression):
-2282    arg_types = {
-2283        "this": False,
-2284        "expression": False,
-2285        "kind": True,
-2286    }
+            
    2285class SystemTime(Expression):
+2286    arg_types = {
+2287        "this": False,
+2288        "expression": False,
+2289        "kind": True,
+2290    }
 
    
 
 
@@ -23506,96 +23587,96 @@ Otherwise, this resets the expressions.
    - 
    2289class Union(Subqueryable):
-2290    arg_types = {
-2291        "with": False,
-2292        "this": True,
-2293        "expression": True,
-2294        "distinct": False,
-2295        **QUERY_MODIFIERS,
-2296    }
-2297
-2298    def limit(
-2299        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
-2300    ) -> Select:
-2301        """
-2302        Set the LIMIT expression.
-2303
-2304        Example:
-2305            >>> select("1").union(select("1")).limit(1).sql()
-2306            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
+            
    2293class Union(Subqueryable):
+2294    arg_types = {
+2295        "with": False,
+2296        "this": True,
+2297        "expression": True,
+2298        "distinct": False,
+2299        **QUERY_MODIFIERS,
+2300    }
+2301
+2302    def limit(
+2303        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2304    ) -> Select:
+2305        """
+2306        Set the LIMIT expression.
 2307
-2308        Args:
-2309            expression: the SQL code string to parse.
-2310                This can also be an integer.
-2311                If a `Limit` instance is passed, this is used as-is.
-2312                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
-2313            dialect: the dialect used to parse the input expression.
-2314            copy: if `False`, modify this expression instance in-place.
-2315            opts: other options to use to parse the input expressions.
-2316
-2317        Returns:
-2318            The limited subqueryable.
-2319        """
-2320        return (
-2321            select("*")
-2322            .from_(self.subquery(alias="_l_0", copy=copy))
-2323            .limit(expression, dialect=dialect, copy=False, **opts)
-2324        )
-2325
-2326    def select(
-2327        self,
-2328        *expressions: t.Optional[ExpOrStr],
-2329        append: bool = True,
-2330        dialect: DialectType = None,
-2331        copy: bool = True,
-2332        **opts,
-2333    ) -> Union:
-2334        """Append to or set the SELECT of the union recursively.
-2335
-2336        Example:
-2337            >>> from sqlglot import parse_one
-2338            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
-2339            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
-2340
-2341        Args:
-2342            *expressions: the SQL code strings to parse.
-2343                If an `Expression` instance is passed, it will be used as-is.
-2344            append: if `True`, add to any existing expressions.
-2345                Otherwise, this resets the expressions.
-2346            dialect: the dialect used to parse the input expressions.
-2347            copy: if `False`, modify this expression instance in-place.
-2348            opts: other options to use to parse the input expressions.
-2349
-2350        Returns:
-2351            Union: the modified expression.
-2352        """
-2353        this = self.copy() if copy else self
-2354        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
-2355        this.expression.unnest().select(
-2356            *expressions, append=append, dialect=dialect, copy=False, **opts
-2357        )
-2358        return this
-2359
-2360    @property
-2361    def named_selects(self):
-2362        return self.this.unnest().named_selects
+2308        Example:
+2309            >>> select("1").union(select("1")).limit(1).sql()
+2310            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
+2311
+2312        Args:
+2313            expression: the SQL code string to parse.
+2314                This can also be an integer.
+2315                If a `Limit` instance is passed, this is used as-is.
+2316                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
+2317            dialect: the dialect used to parse the input expression.
+2318            copy: if `False`, modify this expression instance in-place.
+2319            opts: other options to use to parse the input expressions.
+2320
+2321        Returns:
+2322            The limited subqueryable.
+2323        """
+2324        return (
+2325            select("*")
+2326            .from_(self.subquery(alias="_l_0", copy=copy))
+2327            .limit(expression, dialect=dialect, copy=False, **opts)
+2328        )
+2329
+2330    def select(
+2331        self,
+2332        *expressions: t.Optional[ExpOrStr],
+2333        append: bool = True,
+2334        dialect: DialectType = None,
+2335        copy: bool = True,
+2336        **opts,
+2337    ) -> Union:
+2338        """Append to or set the SELECT of the union recursively.
+2339
+2340        Example:
+2341            >>> from sqlglot import parse_one
+2342            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
+2343            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
+2344
+2345        Args:
+2346            *expressions: the SQL code strings to parse.
+2347                If an `Expression` instance is passed, it will be used as-is.
+2348            append: if `True`, add to any existing expressions.
+2349                Otherwise, this resets the expressions.
+2350            dialect: the dialect used to parse the input expressions.
+2351            copy: if `False`, modify this expression instance in-place.
+2352            opts: other options to use to parse the input expressions.
+2353
+2354        Returns:
+2355            Union: the modified expression.
+2356        """
+2357        this = self.copy() if copy else self
+2358        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
+2359        this.expression.unnest().select(
+2360            *expressions, append=append, dialect=dialect, copy=False, **opts
+2361        )
+2362        return this
 2363
 2364    @property
-2365    def is_star(self) -> bool:
-2366        return self.this.is_star or self.expression.is_star
+2365    def named_selects(self):
+2366        return self.this.unnest().named_selects
 2367
 2368    @property
-2369    def selects(self):
-2370        return self.this.unnest().selects
+2369    def is_star(self) -> bool:
+2370        return self.this.is_star or self.expression.is_star
 2371
 2372    @property
-2373    def left(self):
-2374        return self.this
+2373    def selects(self):
+2374        return self.this.unnest().selects
 2375
 2376    @property
-2377    def right(self):
-2378        return self.expression
+2377    def left(self):
+2378        return self.this
+2379
+2380    @property
+2381    def right(self):
+2382        return self.expression
 
    
 
 
@@ -23612,33 +23693,33 @@ Otherwise, this resets the expressions.
    - 
    2298    def limit(
-2299        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
-2300    ) -> Select:
-2301        """
-2302        Set the LIMIT expression.
-2303
-2304        Example:
-2305            >>> select("1").union(select("1")).limit(1).sql()
-2306            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
+            
    2302    def limit(
+2303        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2304    ) -> Select:
+2305        """
+2306        Set the LIMIT expression.
 2307
-2308        Args:
-2309            expression: the SQL code string to parse.
-2310                This can also be an integer.
-2311                If a `Limit` instance is passed, this is used as-is.
-2312                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
-2313            dialect: the dialect used to parse the input expression.
-2314            copy: if `False`, modify this expression instance in-place.
-2315            opts: other options to use to parse the input expressions.
-2316
-2317        Returns:
-2318            The limited subqueryable.
-2319        """
-2320        return (
-2321            select("*")
-2322            .from_(self.subquery(alias="_l_0", copy=copy))
-2323            .limit(expression, dialect=dialect, copy=False, **opts)
-2324        )
+2308        Example:
+2309            >>> select("1").union(select("1")).limit(1).sql()
+2310            'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'
+2311
+2312        Args:
+2313            expression: the SQL code string to parse.
+2314                This can also be an integer.
+2315                If a `Limit` instance is passed, this is used as-is.
+2316                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
+2317            dialect: the dialect used to parse the input expression.
+2318            copy: if `False`, modify this expression instance in-place.
+2319            opts: other options to use to parse the input expressions.
+2320
+2321        Returns:
+2322            The limited subqueryable.
+2323        """
+2324        return (
+2325            select("*")
+2326            .from_(self.subquery(alias="_l_0", copy=copy))
+2327            .limit(expression, dialect=dialect, copy=False, **opts)
+2328        )
 
    
 
 
@@ -23686,39 +23767,39 @@ If another Expression instance is passed,
    - 
    2326    def select(
-2327        self,
-2328        *expressions: t.Optional[ExpOrStr],
-2329        append: bool = True,
-2330        dialect: DialectType = None,
-2331        copy: bool = True,
-2332        **opts,
-2333    ) -> Union:
-2334        """Append to or set the SELECT of the union recursively.
-2335
-2336        Example:
-2337            >>> from sqlglot import parse_one
-2338            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
-2339            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
-2340
-2341        Args:
-2342            *expressions: the SQL code strings to parse.
-2343                If an `Expression` instance is passed, it will be used as-is.
-2344            append: if `True`, add to any existing expressions.
-2345                Otherwise, this resets the expressions.
-2346            dialect: the dialect used to parse the input expressions.
-2347            copy: if `False`, modify this expression instance in-place.
-2348            opts: other options to use to parse the input expressions.
-2349
-2350        Returns:
-2351            Union: the modified expression.
-2352        """
-2353        this = self.copy() if copy else self
-2354        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
-2355        this.expression.unnest().select(
-2356            *expressions, append=append, dialect=dialect, copy=False, **opts
-2357        )
-2358        return this
+            
    2330    def select(
+2331        self,
+2332        *expressions: t.Optional[ExpOrStr],
+2333        append: bool = True,
+2334        dialect: DialectType = None,
+2335        copy: bool = True,
+2336        **opts,
+2337    ) -> Union:
+2338        """Append to or set the SELECT of the union recursively.
+2339
+2340        Example:
+2341            >>> from sqlglot import parse_one
+2342            >>> parse_one("select a from x union select a from y union select a from z").select("b").sql()
+2343            'SELECT a, b FROM x UNION SELECT a, b FROM y UNION SELECT a, b FROM z'
+2344
+2345        Args:
+2346            *expressions: the SQL code strings to parse.
+2347                If an `Expression` instance is passed, it will be used as-is.
+2348            append: if `True`, add to any existing expressions.
+2349                Otherwise, this resets the expressions.
+2350            dialect: the dialect used to parse the input expressions.
+2351            copy: if `False`, modify this expression instance in-place.
+2352            opts: other options to use to parse the input expressions.
+2353
+2354        Returns:
+2355            Union: the modified expression.
+2356        """
+2357        this = self.copy() if copy else self
+2358        this.this.unnest().select(*expressions, append=append, dialect=dialect, copy=False, **opts)
+2359        this.expression.unnest().select(
+2360            *expressions, append=append, dialect=dialect, copy=False, **opts
+2361        )
+2362        return this
 
    
 
 
@@ -23837,8 +23918,8 @@ Otherwise, this resets the expressions.
    - 
    2381class Except(Union):
-2382    pass
+            
    2385class Except(Union):
+2386    pass
 
    
 
 
@@ -23918,8 +23999,8 @@ Otherwise, this resets the expressions.
    - 
    2385class Intersect(Union):
-2386    pass
+            
    2389class Intersect(Union):
+2390    pass
 
    
 
 
@@ -23999,13 +24080,13 @@ Otherwise, this resets the expressions.
    - 
    2389class Unnest(UDTF):
-2390    arg_types = {
-2391        "expressions": True,
-2392        "ordinality": False,
-2393        "alias": False,
-2394        "offset": False,
-2395    }
+            
    2393class Unnest(UDTF):
+2394    arg_types = {
+2395        "expressions": True,
+2396        "ordinality": False,
+2397        "alias": False,
+2398        "offset": False,
+2399    }
 
    
 
 
@@ -24075,15 +24156,15 @@ Otherwise, this resets the expressions.
    - 
    2398class Update(Expression):
-2399    arg_types = {
-2400        "with": False,
-2401        "this": False,
-2402        "expressions": True,
-2403        "from": False,
-2404        "where": False,
-2405        "returning": False,
-2406    }
+            
    2402class Update(Expression):
+2403    arg_types = {
+2404        "with": False,
+2405        "this": False,
+2406        "expressions": True,
+2407        "from": False,
+2408        "where": False,
+2409        "returning": False,
+2410    }
 
    
 
 
@@ -24147,12 +24228,12 @@ Otherwise, this resets the expressions.
    - 
    2409class Values(UDTF):
-2410    arg_types = {
-2411        "expressions": True,
-2412        "ordinality": False,
-2413        "alias": False,
-2414    }
+            
    2413class Values(UDTF):
+2414    arg_types = {
+2415        "expressions": True,
+2416        "ordinality": False,
+2417        "alias": False,
+2418    }
 
    
 
 
@@ -24222,8 +24303,8 @@ Otherwise, this resets the expressions.
    - 
    2417class Var(Expression):
-2418    pass
+            
    2421class Var(Expression):
+2422    pass
 
    
 
 
@@ -24287,8 +24368,8 @@ Otherwise, this resets the expressions.
    - 
    2421class Schema(Expression):
-2422    arg_types = {"this": False, "expressions": False}
+            
    2425class Schema(Expression):
+2426    arg_types = {"this": False, "expressions": False}
 
    
 
 
@@ -24352,8 +24433,8 @@ Otherwise, this resets the expressions.
    - 
    2427class Lock(Expression):
-2428    arg_types = {"update": True, "expressions": False, "wait": False}
+            
    2431class Lock(Expression):
+2432    arg_types = {"update": True, "expressions": False, "wait": False}
 
    
 
 
@@ -24417,696 +24498,694 @@ Otherwise, this resets the expressions.
    - 
    2431class Select(Subqueryable):
-2432    arg_types = {
-2433        "with": False,
-2434        "kind": False,
-2435        "expressions": False,
-2436        "hint": False,
-2437        "distinct": False,
-2438        "struct": False,  # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#return_query_results_as_a_value_table
-2439        "value": False,
-2440        "into": False,
-2441        "from": False,
-2442        **QUERY_MODIFIERS,
-2443    }
-2444
-2445    def from_(
-2446        self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
-2447    ) -> Select:
-2448        """
-2449        Set the FROM expression.
-2450
-2451        Example:
-2452            >>> Select().from_("tbl").select("x").sql()
-2453            'SELECT x FROM tbl'
-2454
-2455        Args:
-2456            expression : the SQL code strings to parse.
-2457                If a `From` instance is passed, this is used as-is.
-2458                If another `Expression` instance is passed, it will be wrapped in a `From`.
-2459            dialect: the dialect used to parse the input expression.
-2460            copy: if `False`, modify this expression instance in-place.
-2461            opts: other options to use to parse the input expressions.
-2462
-2463        Returns:
-2464            The modified Select expression.
-2465        """
-2466        return _apply_builder(
-2467            expression=expression,
-2468            instance=self,
-2469            arg="from",
-2470            into=From,
-2471            prefix="FROM",
-2472            dialect=dialect,
-2473            copy=copy,
-2474            **opts,
-2475        )
-2476
-2477    def group_by(
-2478        self,
-2479        *expressions: t.Optional[ExpOrStr],
-2480        append: bool = True,
-2481        dialect: DialectType = None,
-2482        copy: bool = True,
-2483        **opts,
-2484    ) -> Select:
-2485        """
-2486        Set the GROUP BY expression.
-2487
-2488        Example:
-2489            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
-2490            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
-2491
-2492        Args:
-2493            *expressions: the SQL code strings to parse.
-2494                If a `Group` instance is passed, this is used as-is.
-2495                If another `Expression` instance is passed, it will be wrapped in a `Group`.
-2496                If nothing is passed in then a group by is not applied to the expression
-2497            append: if `True`, add to any existing expressions.
-2498                Otherwise, this flattens all the `Group` expression into a single expression.
-2499            dialect: the dialect used to parse the input expression.
-2500            copy: if `False`, modify this expression instance in-place.
-2501            opts: other options to use to parse the input expressions.
-2502
-2503        Returns:
-2504            The modified Select expression.
-2505        """
-2506        if not expressions:
-2507            return self if not copy else self.copy()
-2508
-2509        return _apply_child_list_builder(
-2510            *expressions,
-2511            instance=self,
-2512            arg="group",
-2513            append=append,
-2514            copy=copy,
-2515            prefix="GROUP BY",
-2516            into=Group,
-2517            dialect=dialect,
-2518            **opts,
-2519        )
-2520
-2521    def order_by(
-2522        self,
-2523        *expressions: t.Optional[ExpOrStr],
-2524        append: bool = True,
-2525        dialect: DialectType = None,
-2526        copy: bool = True,
-2527        **opts,
-2528    ) -> Select:
-2529        """
-2530        Set the ORDER BY expression.
-2531
-2532        Example:
-2533            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
-2534            'SELECT x FROM tbl ORDER BY x DESC'
-2535
-2536        Args:
-2537            *expressions: the SQL code strings to parse.
-2538                If a `Group` instance is passed, this is used as-is.
-2539                If another `Expression` instance is passed, it will be wrapped in a `Order`.
-2540            append: if `True`, add to any existing expressions.
-2541                Otherwise, this flattens all the `Order` expression into a single expression.
-2542            dialect: the dialect used to parse the input expression.
-2543            copy: if `False`, modify this expression instance in-place.
-2544            opts: other options to use to parse the input expressions.
-2545
-2546        Returns:
-2547            The modified Select expression.
-2548        """
-2549        return _apply_child_list_builder(
-2550            *expressions,
-2551            instance=self,
-2552            arg="order",
-2553            append=append,
-2554            copy=copy,
-2555            prefix="ORDER BY",
-2556            into=Order,
-2557            dialect=dialect,
-2558            **opts,
-2559        )
-2560
-2561    def sort_by(
-2562        self,
-2563        *expressions: t.Optional[ExpOrStr],
-2564        append: bool = True,
-2565        dialect: DialectType = None,
-2566        copy: bool = True,
-2567        **opts,
-2568    ) -> Select:
-2569        """
-2570        Set the SORT BY expression.
-2571
-2572        Example:
-2573            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")
-2574            'SELECT x FROM tbl SORT BY x DESC'
-2575
-2576        Args:
-2577            *expressions: the SQL code strings to parse.
-2578                If a `Group` instance is passed, this is used as-is.
-2579                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
-2580            append: if `True`, add to any existing expressions.
-2581                Otherwise, this flattens all the `Order` expression into a single expression.
-2582            dialect: the dialect used to parse the input expression.
-2583            copy: if `False`, modify this expression instance in-place.
-2584            opts: other options to use to parse the input expressions.
-2585
-2586        Returns:
-2587            The modified Select expression.
-2588        """
-2589        return _apply_child_list_builder(
-2590            *expressions,
-2591            instance=self,
-2592            arg="sort",
-2593            append=append,
-2594            copy=copy,
-2595            prefix="SORT BY",
-2596            into=Sort,
-2597            dialect=dialect,
-2598            **opts,
-2599        )
-2600
-2601    def cluster_by(
-2602        self,
-2603        *expressions: t.Optional[ExpOrStr],
-2604        append: bool = True,
-2605        dialect: DialectType = None,
-2606        copy: bool = True,
-2607        **opts,
-2608    ) -> Select:
-2609        """
-2610        Set the CLUSTER BY expression.
-2611
-2612        Example:
-2613            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")
-2614            'SELECT x FROM tbl CLUSTER BY x DESC'
-2615
-2616        Args:
-2617            *expressions: the SQL code strings to parse.
-2618                If a `Group` instance is passed, this is used as-is.
-2619                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
-2620            append: if `True`, add to any existing expressions.
-2621                Otherwise, this flattens all the `Order` expression into a single expression.
-2622            dialect: the dialect used to parse the input expression.
-2623            copy: if `False`, modify this expression instance in-place.
-2624            opts: other options to use to parse the input expressions.
-2625
-2626        Returns:
-2627            The modified Select expression.
-2628        """
-2629        return _apply_child_list_builder(
-2630            *expressions,
-2631            instance=self,
-2632            arg="cluster",
-2633            append=append,
-2634            copy=copy,
-2635            prefix="CLUSTER BY",
-2636            into=Cluster,
-2637            dialect=dialect,
-2638            **opts,
-2639        )
-2640
-2641    def limit(
-2642        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
-2643    ) -> Select:
-2644        """
-2645        Set the LIMIT expression.
-2646
-2647        Example:
-2648            >>> Select().from_("tbl").select("x").limit(10).sql()
-2649            'SELECT x FROM tbl LIMIT 10'
-2650
-2651        Args:
-2652            expression: the SQL code string to parse.
-2653                This can also be an integer.
-2654                If a `Limit` instance is passed, this is used as-is.
-2655                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
-2656            dialect: the dialect used to parse the input expression.
-2657            copy: if `False`, modify this expression instance in-place.
-2658            opts: other options to use to parse the input expressions.
-2659
-2660        Returns:
-2661            Select: the modified expression.
-2662        """
-2663        return _apply_builder(
-2664            expression=expression,
-2665            instance=self,
-2666            arg="limit",
-2667            into=Limit,
-2668            prefix="LIMIT",
-2669            dialect=dialect,
-2670            copy=copy,
-2671            **opts,
-2672        )
-2673
-2674    def offset(
-2675        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
-2676    ) -> Select:
-2677        """
-2678        Set the OFFSET expression.
-2679
-2680        Example:
-2681            >>> Select().from_("tbl").select("x").offset(10).sql()
-2682            'SELECT x FROM tbl OFFSET 10'
-2683
-2684        Args:
-2685            expression: the SQL code string to parse.
-2686                This can also be an integer.
-2687                If a `Offset` instance is passed, this is used as-is.
-2688                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
-2689            dialect: the dialect used to parse the input expression.
-2690            copy: if `False`, modify this expression instance in-place.
-2691            opts: other options to use to parse the input expressions.
-2692
-2693        Returns:
-2694            The modified Select expression.
-2695        """
-2696        return _apply_builder(
-2697            expression=expression,
-2698            instance=self,
-2699            arg="offset",
-2700            into=Offset,
-2701            prefix="OFFSET",
-2702            dialect=dialect,
-2703            copy=copy,
-2704            **opts,
-2705        )
-2706
-2707    def select(
-2708        self,
-2709        *expressions: t.Optional[ExpOrStr],
-2710        append: bool = True,
-2711        dialect: DialectType = None,
-2712        copy: bool = True,
-2713        **opts,
-2714    ) -> Select:
-2715        """
-2716        Append to or set the SELECT expressions.
-2717
-2718        Example:
-2719            >>> Select().select("x", "y").sql()
-2720            'SELECT x, y'
-2721
-2722        Args:
-2723            *expressions: the SQL code strings to parse.
-2724                If an `Expression` instance is passed, it will be used as-is.
-2725            append: if `True`, add to any existing expressions.
-2726                Otherwise, this resets the expressions.
-2727            dialect: the dialect used to parse the input expressions.
-2728            copy: if `False`, modify this expression instance in-place.
-2729            opts: other options to use to parse the input expressions.
-2730
-2731        Returns:
-2732            The modified Select expression.
-2733        """
-2734        return _apply_list_builder(
-2735            *expressions,
-2736            instance=self,
-2737            arg="expressions",
-2738            append=append,
-2739            dialect=dialect,
-2740            copy=copy,
-2741            **opts,
-2742        )
-2743
-2744    def lateral(
-2745        self,
-2746        *expressions: t.Optional[ExpOrStr],
-2747        append: bool = True,
-2748        dialect: DialectType = None,
-2749        copy: bool = True,
-2750        **opts,
-2751    ) -> Select:
-2752        """
-2753        Append to or set the LATERAL expressions.
-2754
-2755        Example:
-2756            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
-2757            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
-2758
-2759        Args:
-2760            *expressions: the SQL code strings to parse.
-2761                If an `Expression` instance is passed, it will be used as-is.
-2762            append: if `True`, add to any existing expressions.
-2763                Otherwise, this resets the expressions.
-2764            dialect: the dialect used to parse the input expressions.
-2765            copy: if `False`, modify this expression instance in-place.
-2766            opts: other options to use to parse the input expressions.
-2767
-2768        Returns:
-2769            The modified Select expression.
-2770        """
-2771        return _apply_list_builder(
-2772            *expressions,
-2773            instance=self,
-2774            arg="laterals",
-2775            append=append,
-2776            into=Lateral,
-2777            prefix="LATERAL VIEW",
-2778            dialect=dialect,
-2779            copy=copy,
-2780            **opts,
-2781        )
-2782
-2783    def join(
-2784        self,
-2785        expression: ExpOrStr,
-2786        on: t.Optional[ExpOrStr] = None,
-2787        using: t.Optional[ExpOrStr | t.List[ExpOrStr]] = None,
-2788        append: bool = True,
-2789        join_type: t.Optional[str] = None,
-2790        join_alias: t.Optional[Identifier | str] = None,
-2791        dialect: DialectType = None,
-2792        copy: bool = True,
-2793        **opts,
-2794    ) -> Select:
-2795        """
-2796        Append to or set the JOIN expressions.
-2797
-2798        Example:
-2799            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
-2800            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
-2801
-2802            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
-2803            'SELECT 1 FROM a JOIN b USING (x, y, z)'
-2804
-2805            Use `join_type` to change the type of join:
+            
    2435class Select(Subqueryable):
+2436    arg_types = {
+2437        "with": False,
+2438        "kind": False,
+2439        "expressions": False,
+2440        "hint": False,
+2441        "distinct": False,
+2442        "into": False,
+2443        "from": False,
+2444        **QUERY_MODIFIERS,
+2445    }
+2446
+2447    def from_(
+2448        self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
+2449    ) -> Select:
+2450        """
+2451        Set the FROM expression.
+2452
+2453        Example:
+2454            >>> Select().from_("tbl").select("x").sql()
+2455            'SELECT x FROM tbl'
+2456
+2457        Args:
+2458            expression : the SQL code strings to parse.
+2459                If a `From` instance is passed, this is used as-is.
+2460                If another `Expression` instance is passed, it will be wrapped in a `From`.
+2461            dialect: the dialect used to parse the input expression.
+2462            copy: if `False`, modify this expression instance in-place.
+2463            opts: other options to use to parse the input expressions.
+2464
+2465        Returns:
+2466            The modified Select expression.
+2467        """
+2468        return _apply_builder(
+2469            expression=expression,
+2470            instance=self,
+2471            arg="from",
+2472            into=From,
+2473            prefix="FROM",
+2474            dialect=dialect,
+2475            copy=copy,
+2476            **opts,
+2477        )
+2478
+2479    def group_by(
+2480        self,
+2481        *expressions: t.Optional[ExpOrStr],
+2482        append: bool = True,
+2483        dialect: DialectType = None,
+2484        copy: bool = True,
+2485        **opts,
+2486    ) -> Select:
+2487        """
+2488        Set the GROUP BY expression.
+2489
+2490        Example:
+2491            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
+2492            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
+2493
+2494        Args:
+2495            *expressions: the SQL code strings to parse.
+2496                If a `Group` instance is passed, this is used as-is.
+2497                If another `Expression` instance is passed, it will be wrapped in a `Group`.
+2498                If nothing is passed in then a group by is not applied to the expression
+2499            append: if `True`, add to any existing expressions.
+2500                Otherwise, this flattens all the `Group` expression into a single expression.
+2501            dialect: the dialect used to parse the input expression.
+2502            copy: if `False`, modify this expression instance in-place.
+2503            opts: other options to use to parse the input expressions.
+2504
+2505        Returns:
+2506            The modified Select expression.
+2507        """
+2508        if not expressions:
+2509            return self if not copy else self.copy()
+2510
+2511        return _apply_child_list_builder(
+2512            *expressions,
+2513            instance=self,
+2514            arg="group",
+2515            append=append,
+2516            copy=copy,
+2517            prefix="GROUP BY",
+2518            into=Group,
+2519            dialect=dialect,
+2520            **opts,
+2521        )
+2522
+2523    def order_by(
+2524        self,
+2525        *expressions: t.Optional[ExpOrStr],
+2526        append: bool = True,
+2527        dialect: DialectType = None,
+2528        copy: bool = True,
+2529        **opts,
+2530    ) -> Select:
+2531        """
+2532        Set the ORDER BY expression.
+2533
+2534        Example:
+2535            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
+2536            'SELECT x FROM tbl ORDER BY x DESC'
+2537
+2538        Args:
+2539            *expressions: the SQL code strings to parse.
+2540                If a `Group` instance is passed, this is used as-is.
+2541                If another `Expression` instance is passed, it will be wrapped in a `Order`.
+2542            append: if `True`, add to any existing expressions.
+2543                Otherwise, this flattens all the `Order` expression into a single expression.
+2544            dialect: the dialect used to parse the input expression.
+2545            copy: if `False`, modify this expression instance in-place.
+2546            opts: other options to use to parse the input expressions.
+2547
+2548        Returns:
+2549            The modified Select expression.
+2550        """
+2551        return _apply_child_list_builder(
+2552            *expressions,
+2553            instance=self,
+2554            arg="order",
+2555            append=append,
+2556            copy=copy,
+2557            prefix="ORDER BY",
+2558            into=Order,
+2559            dialect=dialect,
+2560            **opts,
+2561        )
+2562
+2563    def sort_by(
+2564        self,
+2565        *expressions: t.Optional[ExpOrStr],
+2566        append: bool = True,
+2567        dialect: DialectType = None,
+2568        copy: bool = True,
+2569        **opts,
+2570    ) -> Select:
+2571        """
+2572        Set the SORT BY expression.
+2573
+2574        Example:
+2575            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")
+2576            'SELECT x FROM tbl SORT BY x DESC'
+2577
+2578        Args:
+2579            *expressions: the SQL code strings to parse.
+2580                If a `Group` instance is passed, this is used as-is.
+2581                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
+2582            append: if `True`, add to any existing expressions.
+2583                Otherwise, this flattens all the `Order` expression into a single expression.
+2584            dialect: the dialect used to parse the input expression.
+2585            copy: if `False`, modify this expression instance in-place.
+2586            opts: other options to use to parse the input expressions.
+2587
+2588        Returns:
+2589            The modified Select expression.
+2590        """
+2591        return _apply_child_list_builder(
+2592            *expressions,
+2593            instance=self,
+2594            arg="sort",
+2595            append=append,
+2596            copy=copy,
+2597            prefix="SORT BY",
+2598            into=Sort,
+2599            dialect=dialect,
+2600            **opts,
+2601        )
+2602
+2603    def cluster_by(
+2604        self,
+2605        *expressions: t.Optional[ExpOrStr],
+2606        append: bool = True,
+2607        dialect: DialectType = None,
+2608        copy: bool = True,
+2609        **opts,
+2610    ) -> Select:
+2611        """
+2612        Set the CLUSTER BY expression.
+2613
+2614        Example:
+2615            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")
+2616            'SELECT x FROM tbl CLUSTER BY x DESC'
+2617
+2618        Args:
+2619            *expressions: the SQL code strings to parse.
+2620                If a `Group` instance is passed, this is used as-is.
+2621                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
+2622            append: if `True`, add to any existing expressions.
+2623                Otherwise, this flattens all the `Order` expression into a single expression.
+2624            dialect: the dialect used to parse the input expression.
+2625            copy: if `False`, modify this expression instance in-place.
+2626            opts: other options to use to parse the input expressions.
+2627
+2628        Returns:
+2629            The modified Select expression.
+2630        """
+2631        return _apply_child_list_builder(
+2632            *expressions,
+2633            instance=self,
+2634            arg="cluster",
+2635            append=append,
+2636            copy=copy,
+2637            prefix="CLUSTER BY",
+2638            into=Cluster,
+2639            dialect=dialect,
+2640            **opts,
+2641        )
+2642
+2643    def limit(
+2644        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2645    ) -> Select:
+2646        """
+2647        Set the LIMIT expression.
+2648
+2649        Example:
+2650            >>> Select().from_("tbl").select("x").limit(10).sql()
+2651            'SELECT x FROM tbl LIMIT 10'
+2652
+2653        Args:
+2654            expression: the SQL code string to parse.
+2655                This can also be an integer.
+2656                If a `Limit` instance is passed, this is used as-is.
+2657                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
+2658            dialect: the dialect used to parse the input expression.
+2659            copy: if `False`, modify this expression instance in-place.
+2660            opts: other options to use to parse the input expressions.
+2661
+2662        Returns:
+2663            Select: the modified expression.
+2664        """
+2665        return _apply_builder(
+2666            expression=expression,
+2667            instance=self,
+2668            arg="limit",
+2669            into=Limit,
+2670            prefix="LIMIT",
+2671            dialect=dialect,
+2672            copy=copy,
+2673            **opts,
+2674        )
+2675
+2676    def offset(
+2677        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2678    ) -> Select:
+2679        """
+2680        Set the OFFSET expression.
+2681
+2682        Example:
+2683            >>> Select().from_("tbl").select("x").offset(10).sql()
+2684            'SELECT x FROM tbl OFFSET 10'
+2685
+2686        Args:
+2687            expression: the SQL code string to parse.
+2688                This can also be an integer.
+2689                If a `Offset` instance is passed, this is used as-is.
+2690                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
+2691            dialect: the dialect used to parse the input expression.
+2692            copy: if `False`, modify this expression instance in-place.
+2693            opts: other options to use to parse the input expressions.
+2694
+2695        Returns:
+2696            The modified Select expression.
+2697        """
+2698        return _apply_builder(
+2699            expression=expression,
+2700            instance=self,
+2701            arg="offset",
+2702            into=Offset,
+2703            prefix="OFFSET",
+2704            dialect=dialect,
+2705            copy=copy,
+2706            **opts,
+2707        )
+2708
+2709    def select(
+2710        self,
+2711        *expressions: t.Optional[ExpOrStr],
+2712        append: bool = True,
+2713        dialect: DialectType = None,
+2714        copy: bool = True,
+2715        **opts,
+2716    ) -> Select:
+2717        """
+2718        Append to or set the SELECT expressions.
+2719
+2720        Example:
+2721            >>> Select().select("x", "y").sql()
+2722            'SELECT x, y'
+2723
+2724        Args:
+2725            *expressions: the SQL code strings to parse.
+2726                If an `Expression` instance is passed, it will be used as-is.
+2727            append: if `True`, add to any existing expressions.
+2728                Otherwise, this resets the expressions.
+2729            dialect: the dialect used to parse the input expressions.
+2730            copy: if `False`, modify this expression instance in-place.
+2731            opts: other options to use to parse the input expressions.
+2732
+2733        Returns:
+2734            The modified Select expression.
+2735        """
+2736        return _apply_list_builder(
+2737            *expressions,
+2738            instance=self,
+2739            arg="expressions",
+2740            append=append,
+2741            dialect=dialect,
+2742            copy=copy,
+2743            **opts,
+2744        )
+2745
+2746    def lateral(
+2747        self,
+2748        *expressions: t.Optional[ExpOrStr],
+2749        append: bool = True,
+2750        dialect: DialectType = None,
+2751        copy: bool = True,
+2752        **opts,
+2753    ) -> Select:
+2754        """
+2755        Append to or set the LATERAL expressions.
+2756
+2757        Example:
+2758            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
+2759            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
+2760
+2761        Args:
+2762            *expressions: the SQL code strings to parse.
+2763                If an `Expression` instance is passed, it will be used as-is.
+2764            append: if `True`, add to any existing expressions.
+2765                Otherwise, this resets the expressions.
+2766            dialect: the dialect used to parse the input expressions.
+2767            copy: if `False`, modify this expression instance in-place.
+2768            opts: other options to use to parse the input expressions.
+2769
+2770        Returns:
+2771            The modified Select expression.
+2772        """
+2773        return _apply_list_builder(
+2774            *expressions,
+2775            instance=self,
+2776            arg="laterals",
+2777            append=append,
+2778            into=Lateral,
+2779            prefix="LATERAL VIEW",
+2780            dialect=dialect,
+2781            copy=copy,
+2782            **opts,
+2783        )
+2784
+2785    def join(
+2786        self,
+2787        expression: ExpOrStr,
+2788        on: t.Optional[ExpOrStr] = None,
+2789        using: t.Optional[ExpOrStr | t.List[ExpOrStr]] = None,
+2790        append: bool = True,
+2791        join_type: t.Optional[str] = None,
+2792        join_alias: t.Optional[Identifier | str] = None,
+2793        dialect: DialectType = None,
+2794        copy: bool = True,
+2795        **opts,
+2796    ) -> Select:
+2797        """
+2798        Append to or set the JOIN expressions.
+2799
+2800        Example:
+2801            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
+2802            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
+2803
+2804            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
+2805            'SELECT 1 FROM a JOIN b USING (x, y, z)'
 2806
-2807            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
-2808            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
-2809
-2810        Args:
-2811            expression: the SQL code string to parse.
-2812                If an `Expression` instance is passed, it will be used as-is.
-2813            on: optionally specify the join "on" criteria as a SQL string.
+2807            Use `join_type` to change the type of join:
+2808
+2809            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
+2810            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
+2811
+2812        Args:
+2813            expression: the SQL code string to parse.
 2814                If an `Expression` instance is passed, it will be used as-is.
-2815            using: optionally specify the join "using" criteria as a SQL string.
+2815            on: optionally specify the join "on" criteria as a SQL string.
 2816                If an `Expression` instance is passed, it will be used as-is.
-2817            append: if `True`, add to any existing expressions.
-2818                Otherwise, this resets the expressions.
-2819            join_type: if set, alter the parsed join type.
-2820            join_alias: an optional alias for the joined source.
-2821            dialect: the dialect used to parse the input expressions.
-2822            copy: if `False`, modify this expression instance in-place.
-2823            opts: other options to use to parse the input expressions.
-2824
-2825        Returns:
-2826            Select: the modified expression.
-2827        """
-2828        parse_args: t.Dict[str, t.Any] = {"dialect": dialect, **opts}
-2829
-2830        try:
-2831            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)
-2832        except ParseError:
-2833            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)
-2834
-2835        join = expression if isinstance(expression, Join) else Join(this=expression)
+2817            using: optionally specify the join "using" criteria as a SQL string.
+2818                If an `Expression` instance is passed, it will be used as-is.
+2819            append: if `True`, add to any existing expressions.
+2820                Otherwise, this resets the expressions.
+2821            join_type: if set, alter the parsed join type.
+2822            join_alias: an optional alias for the joined source.
+2823            dialect: the dialect used to parse the input expressions.
+2824            copy: if `False`, modify this expression instance in-place.
+2825            opts: other options to use to parse the input expressions.
+2826
+2827        Returns:
+2828            Select: the modified expression.
+2829        """
+2830        parse_args: t.Dict[str, t.Any] = {"dialect": dialect, **opts}
+2831
+2832        try:
+2833            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)
+2834        except ParseError:
+2835            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)
 2836
-2837        if isinstance(join.this, Select):
-2838            join.this.replace(join.this.subquery())
-2839
-2840        if join_type:
-2841            method: t.Optional[Token]
-2842            side: t.Optional[Token]
-2843            kind: t.Optional[Token]
-2844
-2845            method, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
+2837        join = expression if isinstance(expression, Join) else Join(this=expression)
+2838
+2839        if isinstance(join.this, Select):
+2840            join.this.replace(join.this.subquery())
+2841
+2842        if join_type:
+2843            method: t.Optional[Token]
+2844            side: t.Optional[Token]
+2845            kind: t.Optional[Token]
 2846
-2847            if method:
-2848                join.set("method", method.text)
-2849            if side:
-2850                join.set("side", side.text)
-2851            if kind:
-2852                join.set("kind", kind.text)
-2853
-2854        if on:
-2855            on = and_(*ensure_list(on), dialect=dialect, copy=copy, **opts)
-2856            join.set("on", on)
-2857
-2858        if using:
-2859            join = _apply_list_builder(
-2860                *ensure_list(using),
-2861                instance=join,
-2862                arg="using",
-2863                append=append,
-2864                copy=copy,
-2865                **opts,
-2866            )
-2867
-2868        if join_alias:
-2869            join.set("this", alias_(join.this, join_alias, table=True))
-2870
-2871        return _apply_list_builder(
-2872            join,
-2873            instance=self,
-2874            arg="joins",
-2875            append=append,
-2876            copy=copy,
-2877            **opts,
-2878        )
-2879
-2880    def where(
-2881        self,
-2882        *expressions: t.Optional[ExpOrStr],
-2883        append: bool = True,
-2884        dialect: DialectType = None,
-2885        copy: bool = True,
-2886        **opts,
-2887    ) -> Select:
-2888        """
-2889        Append to or set the WHERE expressions.
-2890
-2891        Example:
-2892            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
-2893            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
-2894
-2895        Args:
-2896            *expressions: the SQL code strings to parse.
-2897                If an `Expression` instance is passed, it will be used as-is.
-2898                Multiple expressions are combined with an AND operator.
-2899            append: if `True`, AND the new expressions to any existing expression.
-2900                Otherwise, this resets the expression.
-2901            dialect: the dialect used to parse the input expressions.
-2902            copy: if `False`, modify this expression instance in-place.
-2903            opts: other options to use to parse the input expressions.
-2904
-2905        Returns:
-2906            Select: the modified expression.
-2907        """
-2908        return _apply_conjunction_builder(
-2909            *expressions,
-2910            instance=self,
-2911            arg="where",
-2912            append=append,
-2913            into=Where,
-2914            dialect=dialect,
-2915            copy=copy,
-2916            **opts,
-2917        )
-2918
-2919    def having(
-2920        self,
-2921        *expressions: t.Optional[ExpOrStr],
-2922        append: bool = True,
-2923        dialect: DialectType = None,
-2924        copy: bool = True,
-2925        **opts,
-2926    ) -> Select:
-2927        """
-2928        Append to or set the HAVING expressions.
-2929
-2930        Example:
-2931            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
-2932            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
-2933
-2934        Args:
-2935            *expressions: the SQL code strings to parse.
-2936                If an `Expression` instance is passed, it will be used as-is.
-2937                Multiple expressions are combined with an AND operator.
-2938            append: if `True`, AND the new expressions to any existing expression.
-2939                Otherwise, this resets the expression.
-2940            dialect: the dialect used to parse the input expressions.
-2941            copy: if `False`, modify this expression instance in-place.
-2942            opts: other options to use to parse the input expressions.
-2943
-2944        Returns:
-2945            The modified Select expression.
-2946        """
-2947        return _apply_conjunction_builder(
-2948            *expressions,
-2949            instance=self,
-2950            arg="having",
-2951            append=append,
-2952            into=Having,
-2953            dialect=dialect,
-2954            copy=copy,
-2955            **opts,
-2956        )
-2957
-2958    def window(
-2959        self,
-2960        *expressions: t.Optional[ExpOrStr],
-2961        append: bool = True,
-2962        dialect: DialectType = None,
-2963        copy: bool = True,
-2964        **opts,
-2965    ) -> Select:
-2966        return _apply_list_builder(
-2967            *expressions,
-2968            instance=self,
-2969            arg="windows",
-2970            append=append,
-2971            into=Window,
-2972            dialect=dialect,
-2973            copy=copy,
-2974            **opts,
-2975        )
-2976
-2977    def qualify(
-2978        self,
-2979        *expressions: t.Optional[ExpOrStr],
-2980        append: bool = True,
-2981        dialect: DialectType = None,
-2982        copy: bool = True,
-2983        **opts,
-2984    ) -> Select:
-2985        return _apply_conjunction_builder(
-2986            *expressions,
-2987            instance=self,
-2988            arg="qualify",
-2989            append=append,
-2990            into=Qualify,
-2991            dialect=dialect,
-2992            copy=copy,
-2993            **opts,
-2994        )
-2995
-2996    def distinct(
-2997        self, *ons: t.Optional[ExpOrStr], distinct: bool = True, copy: bool = True
-2998    ) -> Select:
-2999        """
-3000        Set the OFFSET expression.
-3001
-3002        Example:
-3003            >>> Select().from_("tbl").select("x").distinct().sql()
-3004            'SELECT DISTINCT x FROM tbl'
-3005
-3006        Args:
-3007            ons: the expressions to distinct on
-3008            distinct: whether the Select should be distinct
-3009            copy: if `False`, modify this expression instance in-place.
-3010
-3011        Returns:
-3012            Select: the modified expression.
-3013        """
-3014        instance = _maybe_copy(self, copy)
-3015        on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons if on]) if ons else None
-3016        instance.set("distinct", Distinct(on=on) if distinct else None)
-3017        return instance
-3018
-3019    def ctas(
-3020        self,
-3021        table: ExpOrStr,
-3022        properties: t.Optional[t.Dict] = None,
-3023        dialect: DialectType = None,
-3024        copy: bool = True,
-3025        **opts,
-3026    ) -> Create:
-3027        """
-3028        Convert this expression to a CREATE TABLE AS statement.
-3029
-3030        Example:
-3031            >>> Select().select("*").from_("tbl").ctas("x").sql()
-3032            'CREATE TABLE x AS SELECT * FROM tbl'
-3033
-3034        Args:
-3035            table: the SQL code string to parse as the table name.
-3036                If another `Expression` instance is passed, it will be used as-is.
-3037            properties: an optional mapping of table properties
-3038            dialect: the dialect used to parse the input table.
-3039            copy: if `False`, modify this expression instance in-place.
-3040            opts: other options to use to parse the input table.
-3041
-3042        Returns:
-3043            The new Create expression.
-3044        """
-3045        instance = _maybe_copy(self, copy)
-3046        table_expression = maybe_parse(
-3047            table,
-3048            into=Table,
-3049            dialect=dialect,
-3050            **opts,
-3051        )
-3052        properties_expression = None
-3053        if properties:
-3054            properties_expression = Properties.from_dict(properties)
-3055
-3056        return Create(
-3057            this=table_expression,
-3058            kind="table",
-3059            expression=instance,
-3060            properties=properties_expression,
-3061        )
-3062
-3063    def lock(self, update: bool = True, copy: bool = True) -> Select:
-3064        """
-3065        Set the locking read mode for this expression.
-3066
-3067        Examples:
-3068            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
-3069            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
-3070
-3071            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
-3072            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
-3073
-3074        Args:
-3075            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
-3076            copy: if `False`, modify this expression instance in-place.
-3077
-3078        Returns:
-3079            The modified expression.
-3080        """
-3081        inst = _maybe_copy(self, copy)
-3082        inst.set("locks", [Lock(update=update)])
-3083
-3084        return inst
+2847            method, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
+2848
+2849            if method:
+2850                join.set("method", method.text)
+2851            if side:
+2852                join.set("side", side.text)
+2853            if kind:
+2854                join.set("kind", kind.text)
+2855
+2856        if on:
+2857            on = and_(*ensure_list(on), dialect=dialect, copy=copy, **opts)
+2858            join.set("on", on)
+2859
+2860        if using:
+2861            join = _apply_list_builder(
+2862                *ensure_list(using),
+2863                instance=join,
+2864                arg="using",
+2865                append=append,
+2866                copy=copy,
+2867                **opts,
+2868            )
+2869
+2870        if join_alias:
+2871            join.set("this", alias_(join.this, join_alias, table=True))
+2872
+2873        return _apply_list_builder(
+2874            join,
+2875            instance=self,
+2876            arg="joins",
+2877            append=append,
+2878            copy=copy,
+2879            **opts,
+2880        )
+2881
+2882    def where(
+2883        self,
+2884        *expressions: t.Optional[ExpOrStr],
+2885        append: bool = True,
+2886        dialect: DialectType = None,
+2887        copy: bool = True,
+2888        **opts,
+2889    ) -> Select:
+2890        """
+2891        Append to or set the WHERE expressions.
+2892
+2893        Example:
+2894            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
+2895            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
+2896
+2897        Args:
+2898            *expressions: the SQL code strings to parse.
+2899                If an `Expression` instance is passed, it will be used as-is.
+2900                Multiple expressions are combined with an AND operator.
+2901            append: if `True`, AND the new expressions to any existing expression.
+2902                Otherwise, this resets the expression.
+2903            dialect: the dialect used to parse the input expressions.
+2904            copy: if `False`, modify this expression instance in-place.
+2905            opts: other options to use to parse the input expressions.
+2906
+2907        Returns:
+2908            Select: the modified expression.
+2909        """
+2910        return _apply_conjunction_builder(
+2911            *expressions,
+2912            instance=self,
+2913            arg="where",
+2914            append=append,
+2915            into=Where,
+2916            dialect=dialect,
+2917            copy=copy,
+2918            **opts,
+2919        )
+2920
+2921    def having(
+2922        self,
+2923        *expressions: t.Optional[ExpOrStr],
+2924        append: bool = True,
+2925        dialect: DialectType = None,
+2926        copy: bool = True,
+2927        **opts,
+2928    ) -> Select:
+2929        """
+2930        Append to or set the HAVING expressions.
+2931
+2932        Example:
+2933            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
+2934            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
+2935
+2936        Args:
+2937            *expressions: the SQL code strings to parse.
+2938                If an `Expression` instance is passed, it will be used as-is.
+2939                Multiple expressions are combined with an AND operator.
+2940            append: if `True`, AND the new expressions to any existing expression.
+2941                Otherwise, this resets the expression.
+2942            dialect: the dialect used to parse the input expressions.
+2943            copy: if `False`, modify this expression instance in-place.
+2944            opts: other options to use to parse the input expressions.
+2945
+2946        Returns:
+2947            The modified Select expression.
+2948        """
+2949        return _apply_conjunction_builder(
+2950            *expressions,
+2951            instance=self,
+2952            arg="having",
+2953            append=append,
+2954            into=Having,
+2955            dialect=dialect,
+2956            copy=copy,
+2957            **opts,
+2958        )
+2959
+2960    def window(
+2961        self,
+2962        *expressions: t.Optional[ExpOrStr],
+2963        append: bool = True,
+2964        dialect: DialectType = None,
+2965        copy: bool = True,
+2966        **opts,
+2967    ) -> Select:
+2968        return _apply_list_builder(
+2969            *expressions,
+2970            instance=self,
+2971            arg="windows",
+2972            append=append,
+2973            into=Window,
+2974            dialect=dialect,
+2975            copy=copy,
+2976            **opts,
+2977        )
+2978
+2979    def qualify(
+2980        self,
+2981        *expressions: t.Optional[ExpOrStr],
+2982        append: bool = True,
+2983        dialect: DialectType = None,
+2984        copy: bool = True,
+2985        **opts,
+2986    ) -> Select:
+2987        return _apply_conjunction_builder(
+2988            *expressions,
+2989            instance=self,
+2990            arg="qualify",
+2991            append=append,
+2992            into=Qualify,
+2993            dialect=dialect,
+2994            copy=copy,
+2995            **opts,
+2996        )
+2997
+2998    def distinct(
+2999        self, *ons: t.Optional[ExpOrStr], distinct: bool = True, copy: bool = True
+3000    ) -> Select:
+3001        """
+3002        Set the OFFSET expression.
+3003
+3004        Example:
+3005            >>> Select().from_("tbl").select("x").distinct().sql()
+3006            'SELECT DISTINCT x FROM tbl'
+3007
+3008        Args:
+3009            ons: the expressions to distinct on
+3010            distinct: whether the Select should be distinct
+3011            copy: if `False`, modify this expression instance in-place.
+3012
+3013        Returns:
+3014            Select: the modified expression.
+3015        """
+3016        instance = _maybe_copy(self, copy)
+3017        on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons if on]) if ons else None
+3018        instance.set("distinct", Distinct(on=on) if distinct else None)
+3019        return instance
+3020
+3021    def ctas(
+3022        self,
+3023        table: ExpOrStr,
+3024        properties: t.Optional[t.Dict] = None,
+3025        dialect: DialectType = None,
+3026        copy: bool = True,
+3027        **opts,
+3028    ) -> Create:
+3029        """
+3030        Convert this expression to a CREATE TABLE AS statement.
+3031
+3032        Example:
+3033            >>> Select().select("*").from_("tbl").ctas("x").sql()
+3034            'CREATE TABLE x AS SELECT * FROM tbl'
+3035
+3036        Args:
+3037            table: the SQL code string to parse as the table name.
+3038                If another `Expression` instance is passed, it will be used as-is.
+3039            properties: an optional mapping of table properties
+3040            dialect: the dialect used to parse the input table.
+3041            copy: if `False`, modify this expression instance in-place.
+3042            opts: other options to use to parse the input table.
+3043
+3044        Returns:
+3045            The new Create expression.
+3046        """
+3047        instance = _maybe_copy(self, copy)
+3048        table_expression = maybe_parse(
+3049            table,
+3050            into=Table,
+3051            dialect=dialect,
+3052            **opts,
+3053        )
+3054        properties_expression = None
+3055        if properties:
+3056            properties_expression = Properties.from_dict(properties)
+3057
+3058        return Create(
+3059            this=table_expression,
+3060            kind="table",
+3061            expression=instance,
+3062            properties=properties_expression,
+3063        )
+3064
+3065    def lock(self, update: bool = True, copy: bool = True) -> Select:
+3066        """
+3067        Set the locking read mode for this expression.
+3068
+3069        Examples:
+3070            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
+3071            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
+3072
+3073            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
+3074            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
+3075
+3076        Args:
+3077            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
+3078            copy: if `False`, modify this expression instance in-place.
+3079
+3080        Returns:
+3081            The modified expression.
+3082        """
+3083        inst = _maybe_copy(self, copy)
+3084        inst.set("locks", [Lock(update=update)])
 3085
-3086    def hint(self, *hints: ExpOrStr, dialect: DialectType = None, copy: bool = True) -> Select:
-3087        """
-3088        Set hints for this expression.
-3089
-3090        Examples:
-3091            >>> Select().select("x").from_("tbl").hint("BROADCAST(y)").sql(dialect="spark")
-3092            'SELECT /*+ BROADCAST(y) */ x FROM tbl'
-3093
-3094        Args:
-3095            hints: The SQL code strings to parse as the hints.
-3096                If an `Expression` instance is passed, it will be used as-is.
-3097            dialect: The dialect used to parse the hints.
-3098            copy: If `False`, modify this expression instance in-place.
-3099
-3100        Returns:
-3101            The modified expression.
-3102        """
-3103        inst = _maybe_copy(self, copy)
-3104        inst.set(
-3105            "hint", Hint(expressions=[maybe_parse(h, copy=copy, dialect=dialect) for h in hints])
-3106        )
-3107
-3108        return inst
+3086        return inst
+3087
+3088    def hint(self, *hints: ExpOrStr, dialect: DialectType = None, copy: bool = True) -> Select:
+3089        """
+3090        Set hints for this expression.
+3091
+3092        Examples:
+3093            >>> Select().select("x").from_("tbl").hint("BROADCAST(y)").sql(dialect="spark")
+3094            'SELECT /*+ BROADCAST(y) */ x FROM tbl'
+3095
+3096        Args:
+3097            hints: The SQL code strings to parse as the hints.
+3098                If an `Expression` instance is passed, it will be used as-is.
+3099            dialect: The dialect used to parse the hints.
+3100            copy: If `False`, modify this expression instance in-place.
+3101
+3102        Returns:
+3103            The modified expression.
+3104        """
+3105        inst = _maybe_copy(self, copy)
+3106        inst.set(
+3107            "hint", Hint(expressions=[maybe_parse(h, copy=copy, dialect=dialect) for h in hints])
+3108        )
 3109
-3110    @property
-3111    def named_selects(self) -> t.List[str]:
-3112        return [e.output_name for e in self.expressions if e.alias_or_name]
-3113
-3114    @property
-3115    def is_star(self) -> bool:
-3116        return any(expression.is_star for expression in self.expressions)
-3117
-3118    @property
-3119    def selects(self) -> t.List[Expression]:
-3120        return self.expressions
+3110        return inst
+3111
+3112    @property
+3113    def named_selects(self) -> t.List[str]:
+3114        return [e.output_name for e in self.expressions if e.alias_or_name]
+3115
+3116    @property
+3117    def is_star(self) -> bool:
+3118        return any(expression.is_star for expression in self.expressions)
+3119
+3120    @property
+3121    def selects(self) -> t.List[Expression]:
+3122        return self.expressions
 
    
 
 
@@ -25123,37 +25202,37 @@ Otherwise, this resets the expressions.
    - 
    2445    def from_(
-2446        self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
-2447    ) -> Select:
-2448        """
-2449        Set the FROM expression.
-2450
-2451        Example:
-2452            >>> Select().from_("tbl").select("x").sql()
-2453            'SELECT x FROM tbl'
-2454
-2455        Args:
-2456            expression : the SQL code strings to parse.
-2457                If a `From` instance is passed, this is used as-is.
-2458                If another `Expression` instance is passed, it will be wrapped in a `From`.
-2459            dialect: the dialect used to parse the input expression.
-2460            copy: if `False`, modify this expression instance in-place.
-2461            opts: other options to use to parse the input expressions.
-2462
-2463        Returns:
-2464            The modified Select expression.
-2465        """
-2466        return _apply_builder(
-2467            expression=expression,
-2468            instance=self,
-2469            arg="from",
-2470            into=From,
-2471            prefix="FROM",
-2472            dialect=dialect,
-2473            copy=copy,
-2474            **opts,
-2475        )
+            
    2447    def from_(
+2448        self, expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
+2449    ) -> Select:
+2450        """
+2451        Set the FROM expression.
+2452
+2453        Example:
+2454            >>> Select().from_("tbl").select("x").sql()
+2455            'SELECT x FROM tbl'
+2456
+2457        Args:
+2458            expression : the SQL code strings to parse.
+2459                If a `From` instance is passed, this is used as-is.
+2460                If another `Expression` instance is passed, it will be wrapped in a `From`.
+2461            dialect: the dialect used to parse the input expression.
+2462            copy: if `False`, modify this expression instance in-place.
+2463            opts: other options to use to parse the input expressions.
+2464
+2465        Returns:
+2466            The modified Select expression.
+2467        """
+2468        return _apply_builder(
+2469            expression=expression,
+2470            instance=self,
+2471            arg="from",
+2472            into=From,
+2473            prefix="FROM",
+2474            dialect=dialect,
+2475            copy=copy,
+2476            **opts,
+2477        )
 
    
 
 
@@ -25200,49 +25279,49 @@ If another Expression instance is passed,
    - 
    2477    def group_by(
-2478        self,
-2479        *expressions: t.Optional[ExpOrStr],
-2480        append: bool = True,
-2481        dialect: DialectType = None,
-2482        copy: bool = True,
-2483        **opts,
-2484    ) -> Select:
-2485        """
-2486        Set the GROUP BY expression.
-2487
-2488        Example:
-2489            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
-2490            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
-2491
-2492        Args:
-2493            *expressions: the SQL code strings to parse.
-2494                If a `Group` instance is passed, this is used as-is.
-2495                If another `Expression` instance is passed, it will be wrapped in a `Group`.
-2496                If nothing is passed in then a group by is not applied to the expression
-2497            append: if `True`, add to any existing expressions.
-2498                Otherwise, this flattens all the `Group` expression into a single expression.
-2499            dialect: the dialect used to parse the input expression.
-2500            copy: if `False`, modify this expression instance in-place.
-2501            opts: other options to use to parse the input expressions.
-2502
-2503        Returns:
-2504            The modified Select expression.
-2505        """
-2506        if not expressions:
-2507            return self if not copy else self.copy()
-2508
-2509        return _apply_child_list_builder(
-2510            *expressions,
-2511            instance=self,
-2512            arg="group",
-2513            append=append,
-2514            copy=copy,
-2515            prefix="GROUP BY",
-2516            into=Group,
-2517            dialect=dialect,
-2518            **opts,
-2519        )
+            
    2479    def group_by(
+2480        self,
+2481        *expressions: t.Optional[ExpOrStr],
+2482        append: bool = True,
+2483        dialect: DialectType = None,
+2484        copy: bool = True,
+2485        **opts,
+2486    ) -> Select:
+2487        """
+2488        Set the GROUP BY expression.
+2489
+2490        Example:
+2491            >>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()
+2492            'SELECT x, COUNT(1) FROM tbl GROUP BY x'
+2493
+2494        Args:
+2495            *expressions: the SQL code strings to parse.
+2496                If a `Group` instance is passed, this is used as-is.
+2497                If another `Expression` instance is passed, it will be wrapped in a `Group`.
+2498                If nothing is passed in then a group by is not applied to the expression
+2499            append: if `True`, add to any existing expressions.
+2500                Otherwise, this flattens all the `Group` expression into a single expression.
+2501            dialect: the dialect used to parse the input expression.
+2502            copy: if `False`, modify this expression instance in-place.
+2503            opts: other options to use to parse the input expressions.
+2504
+2505        Returns:
+2506            The modified Select expression.
+2507        """
+2508        if not expressions:
+2509            return self if not copy else self.copy()
+2510
+2511        return _apply_child_list_builder(
+2512            *expressions,
+2513            instance=self,
+2514            arg="group",
+2515            append=append,
+2516            copy=copy,
+2517            prefix="GROUP BY",
+2518            into=Group,
+2519            dialect=dialect,
+2520            **opts,
+2521        )
 
    
 
 
@@ -25292,45 +25371,45 @@ Otherwise, this flattens all the Group express
    - 
    2521    def order_by(
-2522        self,
-2523        *expressions: t.Optional[ExpOrStr],
-2524        append: bool = True,
-2525        dialect: DialectType = None,
-2526        copy: bool = True,
-2527        **opts,
-2528    ) -> Select:
-2529        """
-2530        Set the ORDER BY expression.
-2531
-2532        Example:
-2533            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
-2534            'SELECT x FROM tbl ORDER BY x DESC'
-2535
-2536        Args:
-2537            *expressions: the SQL code strings to parse.
-2538                If a `Group` instance is passed, this is used as-is.
-2539                If another `Expression` instance is passed, it will be wrapped in a `Order`.
-2540            append: if `True`, add to any existing expressions.
-2541                Otherwise, this flattens all the `Order` expression into a single expression.
-2542            dialect: the dialect used to parse the input expression.
-2543            copy: if `False`, modify this expression instance in-place.
-2544            opts: other options to use to parse the input expressions.
-2545
-2546        Returns:
-2547            The modified Select expression.
-2548        """
-2549        return _apply_child_list_builder(
-2550            *expressions,
-2551            instance=self,
-2552            arg="order",
-2553            append=append,
-2554            copy=copy,
-2555            prefix="ORDER BY",
-2556            into=Order,
-2557            dialect=dialect,
-2558            **opts,
-2559        )
+            
    2523    def order_by(
+2524        self,
+2525        *expressions: t.Optional[ExpOrStr],
+2526        append: bool = True,
+2527        dialect: DialectType = None,
+2528        copy: bool = True,
+2529        **opts,
+2530    ) -> Select:
+2531        """
+2532        Set the ORDER BY expression.
+2533
+2534        Example:
+2535            >>> Select().from_("tbl").select("x").order_by("x DESC").sql()
+2536            'SELECT x FROM tbl ORDER BY x DESC'
+2537
+2538        Args:
+2539            *expressions: the SQL code strings to parse.
+2540                If a `Group` instance is passed, this is used as-is.
+2541                If another `Expression` instance is passed, it will be wrapped in a `Order`.
+2542            append: if `True`, add to any existing expressions.
+2543                Otherwise, this flattens all the `Order` expression into a single expression.
+2544            dialect: the dialect used to parse the input expression.
+2545            copy: if `False`, modify this expression instance in-place.
+2546            opts: other options to use to parse the input expressions.
+2547
+2548        Returns:
+2549            The modified Select expression.
+2550        """
+2551        return _apply_child_list_builder(
+2552            *expressions,
+2553            instance=self,
+2554            arg="order",
+2555            append=append,
+2556            copy=copy,
+2557            prefix="ORDER BY",
+2558            into=Order,
+2559            dialect=dialect,
+2560            **opts,
+2561        )
 
    
 
 
@@ -25379,45 +25458,45 @@ Otherwise, this flattens all the Order express
    - 
    2561    def sort_by(
-2562        self,
-2563        *expressions: t.Optional[ExpOrStr],
-2564        append: bool = True,
-2565        dialect: DialectType = None,
-2566        copy: bool = True,
-2567        **opts,
-2568    ) -> Select:
-2569        """
-2570        Set the SORT BY expression.
-2571
-2572        Example:
-2573            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")
-2574            'SELECT x FROM tbl SORT BY x DESC'
-2575
-2576        Args:
-2577            *expressions: the SQL code strings to parse.
-2578                If a `Group` instance is passed, this is used as-is.
-2579                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
-2580            append: if `True`, add to any existing expressions.
-2581                Otherwise, this flattens all the `Order` expression into a single expression.
-2582            dialect: the dialect used to parse the input expression.
-2583            copy: if `False`, modify this expression instance in-place.
-2584            opts: other options to use to parse the input expressions.
-2585
-2586        Returns:
-2587            The modified Select expression.
-2588        """
-2589        return _apply_child_list_builder(
-2590            *expressions,
-2591            instance=self,
-2592            arg="sort",
-2593            append=append,
-2594            copy=copy,
-2595            prefix="SORT BY",
-2596            into=Sort,
-2597            dialect=dialect,
-2598            **opts,
-2599        )
+            
    2563    def sort_by(
+2564        self,
+2565        *expressions: t.Optional[ExpOrStr],
+2566        append: bool = True,
+2567        dialect: DialectType = None,
+2568        copy: bool = True,
+2569        **opts,
+2570    ) -> Select:
+2571        """
+2572        Set the SORT BY expression.
+2573
+2574        Example:
+2575            >>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")
+2576            'SELECT x FROM tbl SORT BY x DESC'
+2577
+2578        Args:
+2579            *expressions: the SQL code strings to parse.
+2580                If a `Group` instance is passed, this is used as-is.
+2581                If another `Expression` instance is passed, it will be wrapped in a `SORT`.
+2582            append: if `True`, add to any existing expressions.
+2583                Otherwise, this flattens all the `Order` expression into a single expression.
+2584            dialect: the dialect used to parse the input expression.
+2585            copy: if `False`, modify this expression instance in-place.
+2586            opts: other options to use to parse the input expressions.
+2587
+2588        Returns:
+2589            The modified Select expression.
+2590        """
+2591        return _apply_child_list_builder(
+2592            *expressions,
+2593            instance=self,
+2594            arg="sort",
+2595            append=append,
+2596            copy=copy,
+2597            prefix="SORT BY",
+2598            into=Sort,
+2599            dialect=dialect,
+2600            **opts,
+2601        )
 
    
 
 
@@ -25466,45 +25545,45 @@ Otherwise, this flattens all the Order express
    - 
    2601    def cluster_by(
-2602        self,
-2603        *expressions: t.Optional[ExpOrStr],
-2604        append: bool = True,
-2605        dialect: DialectType = None,
-2606        copy: bool = True,
-2607        **opts,
-2608    ) -> Select:
-2609        """
-2610        Set the CLUSTER BY expression.
-2611
-2612        Example:
-2613            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")
-2614            'SELECT x FROM tbl CLUSTER BY x DESC'
-2615
-2616        Args:
-2617            *expressions: the SQL code strings to parse.
-2618                If a `Group` instance is passed, this is used as-is.
-2619                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
-2620            append: if `True`, add to any existing expressions.
-2621                Otherwise, this flattens all the `Order` expression into a single expression.
-2622            dialect: the dialect used to parse the input expression.
-2623            copy: if `False`, modify this expression instance in-place.
-2624            opts: other options to use to parse the input expressions.
-2625
-2626        Returns:
-2627            The modified Select expression.
-2628        """
-2629        return _apply_child_list_builder(
-2630            *expressions,
-2631            instance=self,
-2632            arg="cluster",
-2633            append=append,
-2634            copy=copy,
-2635            prefix="CLUSTER BY",
-2636            into=Cluster,
-2637            dialect=dialect,
-2638            **opts,
-2639        )
+            
    2603    def cluster_by(
+2604        self,
+2605        *expressions: t.Optional[ExpOrStr],
+2606        append: bool = True,
+2607        dialect: DialectType = None,
+2608        copy: bool = True,
+2609        **opts,
+2610    ) -> Select:
+2611        """
+2612        Set the CLUSTER BY expression.
+2613
+2614        Example:
+2615            >>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")
+2616            'SELECT x FROM tbl CLUSTER BY x DESC'
+2617
+2618        Args:
+2619            *expressions: the SQL code strings to parse.
+2620                If a `Group` instance is passed, this is used as-is.
+2621                If another `Expression` instance is passed, it will be wrapped in a `Cluster`.
+2622            append: if `True`, add to any existing expressions.
+2623                Otherwise, this flattens all the `Order` expression into a single expression.
+2624            dialect: the dialect used to parse the input expression.
+2625            copy: if `False`, modify this expression instance in-place.
+2626            opts: other options to use to parse the input expressions.
+2627
+2628        Returns:
+2629            The modified Select expression.
+2630        """
+2631        return _apply_child_list_builder(
+2632            *expressions,
+2633            instance=self,
+2634            arg="cluster",
+2635            append=append,
+2636            copy=copy,
+2637            prefix="CLUSTER BY",
+2638            into=Cluster,
+2639            dialect=dialect,
+2640            **opts,
+2641        )
 
    
 
 
@@ -25553,38 +25632,38 @@ Otherwise, this flattens all the Order express
    - 
    2641    def limit(
-2642        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
-2643    ) -> Select:
-2644        """
-2645        Set the LIMIT expression.
-2646
-2647        Example:
-2648            >>> Select().from_("tbl").select("x").limit(10).sql()
-2649            'SELECT x FROM tbl LIMIT 10'
-2650
-2651        Args:
-2652            expression: the SQL code string to parse.
-2653                This can also be an integer.
-2654                If a `Limit` instance is passed, this is used as-is.
-2655                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
-2656            dialect: the dialect used to parse the input expression.
-2657            copy: if `False`, modify this expression instance in-place.
-2658            opts: other options to use to parse the input expressions.
-2659
-2660        Returns:
-2661            Select: the modified expression.
-2662        """
-2663        return _apply_builder(
-2664            expression=expression,
-2665            instance=self,
-2666            arg="limit",
-2667            into=Limit,
-2668            prefix="LIMIT",
-2669            dialect=dialect,
-2670            copy=copy,
-2671            **opts,
-2672        )
+            
    2643    def limit(
+2644        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2645    ) -> Select:
+2646        """
+2647        Set the LIMIT expression.
+2648
+2649        Example:
+2650            >>> Select().from_("tbl").select("x").limit(10).sql()
+2651            'SELECT x FROM tbl LIMIT 10'
+2652
+2653        Args:
+2654            expression: the SQL code string to parse.
+2655                This can also be an integer.
+2656                If a `Limit` instance is passed, this is used as-is.
+2657                If another `Expression` instance is passed, it will be wrapped in a `Limit`.
+2658            dialect: the dialect used to parse the input expression.
+2659            copy: if `False`, modify this expression instance in-place.
+2660            opts: other options to use to parse the input expressions.
+2661
+2662        Returns:
+2663            Select: the modified expression.
+2664        """
+2665        return _apply_builder(
+2666            expression=expression,
+2667            instance=self,
+2668            arg="limit",
+2669            into=Limit,
+2670            prefix="LIMIT",
+2671            dialect=dialect,
+2672            copy=copy,
+2673            **opts,
+2674        )
 
    
 
 
@@ -25632,38 +25711,38 @@ If another Expression instance is passed,
    - 
    2674    def offset(
-2675        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
-2676    ) -> Select:
-2677        """
-2678        Set the OFFSET expression.
-2679
-2680        Example:
-2681            >>> Select().from_("tbl").select("x").offset(10).sql()
-2682            'SELECT x FROM tbl OFFSET 10'
-2683
-2684        Args:
-2685            expression: the SQL code string to parse.
-2686                This can also be an integer.
-2687                If a `Offset` instance is passed, this is used as-is.
-2688                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
-2689            dialect: the dialect used to parse the input expression.
-2690            copy: if `False`, modify this expression instance in-place.
-2691            opts: other options to use to parse the input expressions.
-2692
-2693        Returns:
-2694            The modified Select expression.
-2695        """
-2696        return _apply_builder(
-2697            expression=expression,
-2698            instance=self,
-2699            arg="offset",
-2700            into=Offset,
-2701            prefix="OFFSET",
-2702            dialect=dialect,
-2703            copy=copy,
-2704            **opts,
-2705        )
+            
    2676    def offset(
+2677        self, expression: ExpOrStr | int, dialect: DialectType = None, copy: bool = True, **opts
+2678    ) -> Select:
+2679        """
+2680        Set the OFFSET expression.
+2681
+2682        Example:
+2683            >>> Select().from_("tbl").select("x").offset(10).sql()
+2684            'SELECT x FROM tbl OFFSET 10'
+2685
+2686        Args:
+2687            expression: the SQL code string to parse.
+2688                This can also be an integer.
+2689                If a `Offset` instance is passed, this is used as-is.
+2690                If another `Expression` instance is passed, it will be wrapped in a `Offset`.
+2691            dialect: the dialect used to parse the input expression.
+2692            copy: if `False`, modify this expression instance in-place.
+2693            opts: other options to use to parse the input expressions.
+2694
+2695        Returns:
+2696            The modified Select expression.
+2697        """
+2698        return _apply_builder(
+2699            expression=expression,
+2700            instance=self,
+2701            arg="offset",
+2702            into=Offset,
+2703            prefix="OFFSET",
+2704            dialect=dialect,
+2705            copy=copy,
+2706            **opts,
+2707        )
 
    
 
 
@@ -25711,42 +25790,42 @@ If another Expression instance is passed,
    - 
    2707    def select(
-2708        self,
-2709        *expressions: t.Optional[ExpOrStr],
-2710        append: bool = True,
-2711        dialect: DialectType = None,
-2712        copy: bool = True,
-2713        **opts,
-2714    ) -> Select:
-2715        """
-2716        Append to or set the SELECT expressions.
-2717
-2718        Example:
-2719            >>> Select().select("x", "y").sql()
-2720            'SELECT x, y'
-2721
-2722        Args:
-2723            *expressions: the SQL code strings to parse.
-2724                If an `Expression` instance is passed, it will be used as-is.
-2725            append: if `True`, add to any existing expressions.
-2726                Otherwise, this resets the expressions.
-2727            dialect: the dialect used to parse the input expressions.
-2728            copy: if `False`, modify this expression instance in-place.
-2729            opts: other options to use to parse the input expressions.
-2730
-2731        Returns:
-2732            The modified Select expression.
-2733        """
-2734        return _apply_list_builder(
-2735            *expressions,
-2736            instance=self,
-2737            arg="expressions",
-2738            append=append,
-2739            dialect=dialect,
-2740            copy=copy,
-2741            **opts,
-2742        )
+            
    2709    def select(
+2710        self,
+2711        *expressions: t.Optional[ExpOrStr],
+2712        append: bool = True,
+2713        dialect: DialectType = None,
+2714        copy: bool = True,
+2715        **opts,
+2716    ) -> Select:
+2717        """
+2718        Append to or set the SELECT expressions.
+2719
+2720        Example:
+2721            >>> Select().select("x", "y").sql()
+2722            'SELECT x, y'
+2723
+2724        Args:
+2725            *expressions: the SQL code strings to parse.
+2726                If an `Expression` instance is passed, it will be used as-is.
+2727            append: if `True`, add to any existing expressions.
+2728                Otherwise, this resets the expressions.
+2729            dialect: the dialect used to parse the input expressions.
+2730            copy: if `False`, modify this expression instance in-place.
+2731            opts: other options to use to parse the input expressions.
+2732
+2733        Returns:
+2734            The modified Select expression.
+2735        """
+2736        return _apply_list_builder(
+2737            *expressions,
+2738            instance=self,
+2739            arg="expressions",
+2740            append=append,
+2741            dialect=dialect,
+2742            copy=copy,
+2743            **opts,
+2744        )
 
    
 
 
@@ -25794,44 +25873,44 @@ Otherwise, this resets the expressions.
    - 
    2744    def lateral(
-2745        self,
-2746        *expressions: t.Optional[ExpOrStr],
-2747        append: bool = True,
-2748        dialect: DialectType = None,
-2749        copy: bool = True,
-2750        **opts,
-2751    ) -> Select:
-2752        """
-2753        Append to or set the LATERAL expressions.
-2754
-2755        Example:
-2756            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
-2757            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
-2758
-2759        Args:
-2760            *expressions: the SQL code strings to parse.
-2761                If an `Expression` instance is passed, it will be used as-is.
-2762            append: if `True`, add to any existing expressions.
-2763                Otherwise, this resets the expressions.
-2764            dialect: the dialect used to parse the input expressions.
-2765            copy: if `False`, modify this expression instance in-place.
-2766            opts: other options to use to parse the input expressions.
-2767
-2768        Returns:
-2769            The modified Select expression.
-2770        """
-2771        return _apply_list_builder(
-2772            *expressions,
-2773            instance=self,
-2774            arg="laterals",
-2775            append=append,
-2776            into=Lateral,
-2777            prefix="LATERAL VIEW",
-2778            dialect=dialect,
-2779            copy=copy,
-2780            **opts,
-2781        )
+            
    2746    def lateral(
+2747        self,
+2748        *expressions: t.Optional[ExpOrStr],
+2749        append: bool = True,
+2750        dialect: DialectType = None,
+2751        copy: bool = True,
+2752        **opts,
+2753    ) -> Select:
+2754        """
+2755        Append to or set the LATERAL expressions.
+2756
+2757        Example:
+2758            >>> Select().select("x").lateral("OUTER explode(y) tbl2 AS z").from_("tbl").sql()
+2759            'SELECT x FROM tbl LATERAL VIEW OUTER EXPLODE(y) tbl2 AS z'
+2760
+2761        Args:
+2762            *expressions: the SQL code strings to parse.
+2763                If an `Expression` instance is passed, it will be used as-is.
+2764            append: if `True`, add to any existing expressions.
+2765                Otherwise, this resets the expressions.
+2766            dialect: the dialect used to parse the input expressions.
+2767            copy: if `False`, modify this expression instance in-place.
+2768            opts: other options to use to parse the input expressions.
+2769
+2770        Returns:
+2771            The modified Select expression.
+2772        """
+2773        return _apply_list_builder(
+2774            *expressions,
+2775            instance=self,
+2776            arg="laterals",
+2777            append=append,
+2778            into=Lateral,
+2779            prefix="LATERAL VIEW",
+2780            dialect=dialect,
+2781            copy=copy,
+2782            **opts,
+2783        )
 
    
 
 
@@ -25879,102 +25958,102 @@ Otherwise, this resets the expressions.
    - 
    2783    def join(
-2784        self,
-2785        expression: ExpOrStr,
-2786        on: t.Optional[ExpOrStr] = None,
-2787        using: t.Optional[ExpOrStr | t.List[ExpOrStr]] = None,
-2788        append: bool = True,
-2789        join_type: t.Optional[str] = None,
-2790        join_alias: t.Optional[Identifier | str] = None,
-2791        dialect: DialectType = None,
-2792        copy: bool = True,
-2793        **opts,
-2794    ) -> Select:
-2795        """
-2796        Append to or set the JOIN expressions.
-2797
-2798        Example:
-2799            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
-2800            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
-2801
-2802            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
-2803            'SELECT 1 FROM a JOIN b USING (x, y, z)'
-2804
-2805            Use `join_type` to change the type of join:
+            
    2785    def join(
+2786        self,
+2787        expression: ExpOrStr,
+2788        on: t.Optional[ExpOrStr] = None,
+2789        using: t.Optional[ExpOrStr | t.List[ExpOrStr]] = None,
+2790        append: bool = True,
+2791        join_type: t.Optional[str] = None,
+2792        join_alias: t.Optional[Identifier | str] = None,
+2793        dialect: DialectType = None,
+2794        copy: bool = True,
+2795        **opts,
+2796    ) -> Select:
+2797        """
+2798        Append to or set the JOIN expressions.
+2799
+2800        Example:
+2801            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y").sql()
+2802            'SELECT * FROM tbl JOIN tbl2 ON tbl1.y = tbl2.y'
+2803
+2804            >>> Select().select("1").from_("a").join("b", using=["x", "y", "z"]).sql()
+2805            'SELECT 1 FROM a JOIN b USING (x, y, z)'
 2806
-2807            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
-2808            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
-2809
-2810        Args:
-2811            expression: the SQL code string to parse.
-2812                If an `Expression` instance is passed, it will be used as-is.
-2813            on: optionally specify the join "on" criteria as a SQL string.
+2807            Use `join_type` to change the type of join:
+2808
+2809            >>> Select().select("*").from_("tbl").join("tbl2", on="tbl1.y = tbl2.y", join_type="left outer").sql()
+2810            'SELECT * FROM tbl LEFT OUTER JOIN tbl2 ON tbl1.y = tbl2.y'
+2811
+2812        Args:
+2813            expression: the SQL code string to parse.
 2814                If an `Expression` instance is passed, it will be used as-is.
-2815            using: optionally specify the join "using" criteria as a SQL string.
+2815            on: optionally specify the join "on" criteria as a SQL string.
 2816                If an `Expression` instance is passed, it will be used as-is.
-2817            append: if `True`, add to any existing expressions.
-2818                Otherwise, this resets the expressions.
-2819            join_type: if set, alter the parsed join type.
-2820            join_alias: an optional alias for the joined source.
-2821            dialect: the dialect used to parse the input expressions.
-2822            copy: if `False`, modify this expression instance in-place.
-2823            opts: other options to use to parse the input expressions.
-2824
-2825        Returns:
-2826            Select: the modified expression.
-2827        """
-2828        parse_args: t.Dict[str, t.Any] = {"dialect": dialect, **opts}
-2829
-2830        try:
-2831            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)
-2832        except ParseError:
-2833            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)
-2834
-2835        join = expression if isinstance(expression, Join) else Join(this=expression)
+2817            using: optionally specify the join "using" criteria as a SQL string.
+2818                If an `Expression` instance is passed, it will be used as-is.
+2819            append: if `True`, add to any existing expressions.
+2820                Otherwise, this resets the expressions.
+2821            join_type: if set, alter the parsed join type.
+2822            join_alias: an optional alias for the joined source.
+2823            dialect: the dialect used to parse the input expressions.
+2824            copy: if `False`, modify this expression instance in-place.
+2825            opts: other options to use to parse the input expressions.
+2826
+2827        Returns:
+2828            Select: the modified expression.
+2829        """
+2830        parse_args: t.Dict[str, t.Any] = {"dialect": dialect, **opts}
+2831
+2832        try:
+2833            expression = maybe_parse(expression, into=Join, prefix="JOIN", **parse_args)
+2834        except ParseError:
+2835            expression = maybe_parse(expression, into=(Join, Expression), **parse_args)
 2836
-2837        if isinstance(join.this, Select):
-2838            join.this.replace(join.this.subquery())
-2839
-2840        if join_type:
-2841            method: t.Optional[Token]
-2842            side: t.Optional[Token]
-2843            kind: t.Optional[Token]
-2844
-2845            method, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
+2837        join = expression if isinstance(expression, Join) else Join(this=expression)
+2838
+2839        if isinstance(join.this, Select):
+2840            join.this.replace(join.this.subquery())
+2841
+2842        if join_type:
+2843            method: t.Optional[Token]
+2844            side: t.Optional[Token]
+2845            kind: t.Optional[Token]
 2846
-2847            if method:
-2848                join.set("method", method.text)
-2849            if side:
-2850                join.set("side", side.text)
-2851            if kind:
-2852                join.set("kind", kind.text)
-2853
-2854        if on:
-2855            on = and_(*ensure_list(on), dialect=dialect, copy=copy, **opts)
-2856            join.set("on", on)
-2857
-2858        if using:
-2859            join = _apply_list_builder(
-2860                *ensure_list(using),
-2861                instance=join,
-2862                arg="using",
-2863                append=append,
-2864                copy=copy,
-2865                **opts,
-2866            )
-2867
-2868        if join_alias:
-2869            join.set("this", alias_(join.this, join_alias, table=True))
-2870
-2871        return _apply_list_builder(
-2872            join,
-2873            instance=self,
-2874            arg="joins",
-2875            append=append,
-2876            copy=copy,
-2877            **opts,
-2878        )
+2847            method, side, kind = maybe_parse(join_type, into="JOIN_TYPE", **parse_args)  # type: ignore
+2848
+2849            if method:
+2850                join.set("method", method.text)
+2851            if side:
+2852                join.set("side", side.text)
+2853            if kind:
+2854                join.set("kind", kind.text)
+2855
+2856        if on:
+2857            on = and_(*ensure_list(on), dialect=dialect, copy=copy, **opts)
+2858            join.set("on", on)
+2859
+2860        if using:
+2861            join = _apply_list_builder(
+2862                *ensure_list(using),
+2863                instance=join,
+2864                arg="using",
+2865                append=append,
+2866                copy=copy,
+2867                **opts,
+2868            )
+2869
+2870        if join_alias:
+2871            join.set("this", alias_(join.this, join_alias, table=True))
+2872
+2873        return _apply_list_builder(
+2874            join,
+2875            instance=self,
+2876            arg="joins",
+2877            append=append,
+2878            copy=copy,
+2879            **opts,
+2880        )
 
    
 
 
@@ -26042,44 +26121,44 @@ Otherwise, this resets the expressions.
    - 
    2880    def where(
-2881        self,
-2882        *expressions: t.Optional[ExpOrStr],
-2883        append: bool = True,
-2884        dialect: DialectType = None,
-2885        copy: bool = True,
-2886        **opts,
-2887    ) -> Select:
-2888        """
-2889        Append to or set the WHERE expressions.
-2890
-2891        Example:
-2892            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
-2893            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
-2894
-2895        Args:
-2896            *expressions: the SQL code strings to parse.
-2897                If an `Expression` instance is passed, it will be used as-is.
-2898                Multiple expressions are combined with an AND operator.
-2899            append: if `True`, AND the new expressions to any existing expression.
-2900                Otherwise, this resets the expression.
-2901            dialect: the dialect used to parse the input expressions.
-2902            copy: if `False`, modify this expression instance in-place.
-2903            opts: other options to use to parse the input expressions.
-2904
-2905        Returns:
-2906            Select: the modified expression.
-2907        """
-2908        return _apply_conjunction_builder(
-2909            *expressions,
-2910            instance=self,
-2911            arg="where",
-2912            append=append,
-2913            into=Where,
-2914            dialect=dialect,
-2915            copy=copy,
-2916            **opts,
-2917        )
+            
    2882    def where(
+2883        self,
+2884        *expressions: t.Optional[ExpOrStr],
+2885        append: bool = True,
+2886        dialect: DialectType = None,
+2887        copy: bool = True,
+2888        **opts,
+2889    ) -> Select:
+2890        """
+2891        Append to or set the WHERE expressions.
+2892
+2893        Example:
+2894            >>> Select().select("x").from_("tbl").where("x = 'a' OR x < 'b'").sql()
+2895            "SELECT x FROM tbl WHERE x = 'a' OR x < 'b'"
+2896
+2897        Args:
+2898            *expressions: the SQL code strings to parse.
+2899                If an `Expression` instance is passed, it will be used as-is.
+2900                Multiple expressions are combined with an AND operator.
+2901            append: if `True`, AND the new expressions to any existing expression.
+2902                Otherwise, this resets the expression.
+2903            dialect: the dialect used to parse the input expressions.
+2904            copy: if `False`, modify this expression instance in-place.
+2905            opts: other options to use to parse the input expressions.
+2906
+2907        Returns:
+2908            Select: the modified expression.
+2909        """
+2910        return _apply_conjunction_builder(
+2911            *expressions,
+2912            instance=self,
+2913            arg="where",
+2914            append=append,
+2915            into=Where,
+2916            dialect=dialect,
+2917            copy=copy,
+2918            **opts,
+2919        )
 
    
 
 
@@ -26128,44 +26207,44 @@ Otherwise, this resets the expression.
    - 
    2919    def having(
-2920        self,
-2921        *expressions: t.Optional[ExpOrStr],
-2922        append: bool = True,
-2923        dialect: DialectType = None,
-2924        copy: bool = True,
-2925        **opts,
-2926    ) -> Select:
-2927        """
-2928        Append to or set the HAVING expressions.
-2929
-2930        Example:
-2931            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
-2932            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
-2933
-2934        Args:
-2935            *expressions: the SQL code strings to parse.
-2936                If an `Expression` instance is passed, it will be used as-is.
-2937                Multiple expressions are combined with an AND operator.
-2938            append: if `True`, AND the new expressions to any existing expression.
-2939                Otherwise, this resets the expression.
-2940            dialect: the dialect used to parse the input expressions.
-2941            copy: if `False`, modify this expression instance in-place.
-2942            opts: other options to use to parse the input expressions.
-2943
-2944        Returns:
-2945            The modified Select expression.
-2946        """
-2947        return _apply_conjunction_builder(
-2948            *expressions,
-2949            instance=self,
-2950            arg="having",
-2951            append=append,
-2952            into=Having,
-2953            dialect=dialect,
-2954            copy=copy,
-2955            **opts,
-2956        )
+            
    2921    def having(
+2922        self,
+2923        *expressions: t.Optional[ExpOrStr],
+2924        append: bool = True,
+2925        dialect: DialectType = None,
+2926        copy: bool = True,
+2927        **opts,
+2928    ) -> Select:
+2929        """
+2930        Append to or set the HAVING expressions.
+2931
+2932        Example:
+2933            >>> Select().select("x", "COUNT(y)").from_("tbl").group_by("x").having("COUNT(y) > 3").sql()
+2934            'SELECT x, COUNT(y) FROM tbl GROUP BY x HAVING COUNT(y) > 3'
+2935
+2936        Args:
+2937            *expressions: the SQL code strings to parse.
+2938                If an `Expression` instance is passed, it will be used as-is.
+2939                Multiple expressions are combined with an AND operator.
+2940            append: if `True`, AND the new expressions to any existing expression.
+2941                Otherwise, this resets the expression.
+2942            dialect: the dialect used to parse the input expressions.
+2943            copy: if `False`, modify this expression instance in-place.
+2944            opts: other options to use to parse the input expressions.
+2945
+2946        Returns:
+2947            The modified Select expression.
+2948        """
+2949        return _apply_conjunction_builder(
+2950            *expressions,
+2951            instance=self,
+2952            arg="having",
+2953            append=append,
+2954            into=Having,
+2955            dialect=dialect,
+2956            copy=copy,
+2957            **opts,
+2958        )
 
    
 
 
@@ -26214,24 +26293,24 @@ Otherwise, this resets the expression.
    - 
    2958    def window(
-2959        self,
-2960        *expressions: t.Optional[ExpOrStr],
-2961        append: bool = True,
-2962        dialect: DialectType = None,
-2963        copy: bool = True,
-2964        **opts,
-2965    ) -> Select:
-2966        return _apply_list_builder(
-2967            *expressions,
-2968            instance=self,
-2969            arg="windows",
-2970            append=append,
-2971            into=Window,
-2972            dialect=dialect,
-2973            copy=copy,
-2974            **opts,
-2975        )
+            
    2960    def window(
+2961        self,
+2962        *expressions: t.Optional[ExpOrStr],
+2963        append: bool = True,
+2964        dialect: DialectType = None,
+2965        copy: bool = True,
+2966        **opts,
+2967    ) -> Select:
+2968        return _apply_list_builder(
+2969            *expressions,
+2970            instance=self,
+2971            arg="windows",
+2972            append=append,
+2973            into=Window,
+2974            dialect=dialect,
+2975            copy=copy,
+2976            **opts,
+2977        )
 
    
 
 
@@ -26249,24 +26328,24 @@ Otherwise, this resets the expression.
    - 
    2977    def qualify(
-2978        self,
-2979        *expressions: t.Optional[ExpOrStr],
-2980        append: bool = True,
-2981        dialect: DialectType = None,
-2982        copy: bool = True,
-2983        **opts,
-2984    ) -> Select:
-2985        return _apply_conjunction_builder(
-2986            *expressions,
-2987            instance=self,
-2988            arg="qualify",
-2989            append=append,
-2990            into=Qualify,
-2991            dialect=dialect,
-2992            copy=copy,
-2993            **opts,
-2994        )
+            
    2979    def qualify(
+2980        self,
+2981        *expressions: t.Optional[ExpOrStr],
+2982        append: bool = True,
+2983        dialect: DialectType = None,
+2984        copy: bool = True,
+2985        **opts,
+2986    ) -> Select:
+2987        return _apply_conjunction_builder(
+2988            *expressions,
+2989            instance=self,
+2990            arg="qualify",
+2991            append=append,
+2992            into=Qualify,
+2993            dialect=dialect,
+2994            copy=copy,
+2995            **opts,
+2996        )
 
    
 
 
@@ -26284,28 +26363,28 @@ Otherwise, this resets the expression.
    - 
    2996    def distinct(
-2997        self, *ons: t.Optional[ExpOrStr], distinct: bool = True, copy: bool = True
-2998    ) -> Select:
-2999        """
-3000        Set the OFFSET expression.
-3001
-3002        Example:
-3003            >>> Select().from_("tbl").select("x").distinct().sql()
-3004            'SELECT DISTINCT x FROM tbl'
-3005
-3006        Args:
-3007            ons: the expressions to distinct on
-3008            distinct: whether the Select should be distinct
-3009            copy: if `False`, modify this expression instance in-place.
-3010
-3011        Returns:
-3012            Select: the modified expression.
-3013        """
-3014        instance = _maybe_copy(self, copy)
-3015        on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons if on]) if ons else None
-3016        instance.set("distinct", Distinct(on=on) if distinct else None)
-3017        return instance
+            
    2998    def distinct(
+2999        self, *ons: t.Optional[ExpOrStr], distinct: bool = True, copy: bool = True
+3000    ) -> Select:
+3001        """
+3002        Set the OFFSET expression.
+3003
+3004        Example:
+3005            >>> Select().from_("tbl").select("x").distinct().sql()
+3006            'SELECT DISTINCT x FROM tbl'
+3007
+3008        Args:
+3009            ons: the expressions to distinct on
+3010            distinct: whether the Select should be distinct
+3011            copy: if `False`, modify this expression instance in-place.
+3012
+3013        Returns:
+3014            Select: the modified expression.
+3015        """
+3016        instance = _maybe_copy(self, copy)
+3017        on = Tuple(expressions=[maybe_parse(on, copy=copy) for on in ons if on]) if ons else None
+3018        instance.set("distinct", Distinct(on=on) if distinct else None)
+3019        return instance
 
    
 
 
@@ -26349,49 +26428,49 @@ Otherwise, this resets the expression.
    - 
    3019    def ctas(
-3020        self,
-3021        table: ExpOrStr,
-3022        properties: t.Optional[t.Dict] = None,
-3023        dialect: DialectType = None,
-3024        copy: bool = True,
-3025        **opts,
-3026    ) -> Create:
-3027        """
-3028        Convert this expression to a CREATE TABLE AS statement.
-3029
-3030        Example:
-3031            >>> Select().select("*").from_("tbl").ctas("x").sql()
-3032            'CREATE TABLE x AS SELECT * FROM tbl'
-3033
-3034        Args:
-3035            table: the SQL code string to parse as the table name.
-3036                If another `Expression` instance is passed, it will be used as-is.
-3037            properties: an optional mapping of table properties
-3038            dialect: the dialect used to parse the input table.
-3039            copy: if `False`, modify this expression instance in-place.
-3040            opts: other options to use to parse the input table.
-3041
-3042        Returns:
-3043            The new Create expression.
-3044        """
-3045        instance = _maybe_copy(self, copy)
-3046        table_expression = maybe_parse(
-3047            table,
-3048            into=Table,
-3049            dialect=dialect,
-3050            **opts,
-3051        )
-3052        properties_expression = None
-3053        if properties:
-3054            properties_expression = Properties.from_dict(properties)
-3055
-3056        return Create(
-3057            this=table_expression,
-3058            kind="table",
-3059            expression=instance,
-3060            properties=properties_expression,
-3061        )
+            
    3021    def ctas(
+3022        self,
+3023        table: ExpOrStr,
+3024        properties: t.Optional[t.Dict] = None,
+3025        dialect: DialectType = None,
+3026        copy: bool = True,
+3027        **opts,
+3028    ) -> Create:
+3029        """
+3030        Convert this expression to a CREATE TABLE AS statement.
+3031
+3032        Example:
+3033            >>> Select().select("*").from_("tbl").ctas("x").sql()
+3034            'CREATE TABLE x AS SELECT * FROM tbl'
+3035
+3036        Args:
+3037            table: the SQL code string to parse as the table name.
+3038                If another `Expression` instance is passed, it will be used as-is.
+3039            properties: an optional mapping of table properties
+3040            dialect: the dialect used to parse the input table.
+3041            copy: if `False`, modify this expression instance in-place.
+3042            opts: other options to use to parse the input table.
+3043
+3044        Returns:
+3045            The new Create expression.
+3046        """
+3047        instance = _maybe_copy(self, copy)
+3048        table_expression = maybe_parse(
+3049            table,
+3050            into=Table,
+3051            dialect=dialect,
+3052            **opts,
+3053        )
+3054        properties_expression = None
+3055        if properties:
+3056            properties_expression = Properties.from_dict(properties)
+3057
+3058        return Create(
+3059            this=table_expression,
+3060            kind="table",
+3061            expression=instance,
+3062            properties=properties_expression,
+3063        )
 
    
 
 
@@ -26438,28 +26517,28 @@ If another Expression instance is passed,
    - 
    3063    def lock(self, update: bool = True, copy: bool = True) -> Select:
-3064        """
-3065        Set the locking read mode for this expression.
-3066
-3067        Examples:
-3068            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
-3069            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
-3070
-3071            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
-3072            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
-3073
-3074        Args:
-3075            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
-3076            copy: if `False`, modify this expression instance in-place.
-3077
-3078        Returns:
-3079            The modified expression.
-3080        """
-3081        inst = _maybe_copy(self, copy)
-3082        inst.set("locks", [Lock(update=update)])
-3083
-3084        return inst
+            
    3065    def lock(self, update: bool = True, copy: bool = True) -> Select:
+3066        """
+3067        Set the locking read mode for this expression.
+3068
+3069        Examples:
+3070            >>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")
+3071            "SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"
+3072
+3073            >>> Select().select("x").from_("tbl").where("x = 'a'").lock(update=False).sql("mysql")
+3074            "SELECT x FROM tbl WHERE x = 'a' FOR SHARE"
+3075
+3076        Args:
+3077            update: if `True`, the locking type will be `FOR UPDATE`, else it will be `FOR SHARE`.
+3078            copy: if `False`, modify this expression instance in-place.
+3079
+3080        Returns:
+3081            The modified expression.
+3082        """
+3083        inst = _maybe_copy(self, copy)
+3084        inst.set("locks", [Lock(update=update)])
+3085
+3086        return inst
 
    
 
 
@@ -26508,29 +26587,29 @@ If another Expression instance is passed,
    - 
    3086    def hint(self, *hints: ExpOrStr, dialect: DialectType = None, copy: bool = True) -> Select:
-3087        """
-3088        Set hints for this expression.
-3089
-3090        Examples:
-3091            >>> Select().select("x").from_("tbl").hint("BROADCAST(y)").sql(dialect="spark")
-3092            'SELECT /*+ BROADCAST(y) */ x FROM tbl'
-3093
-3094        Args:
-3095            hints: The SQL code strings to parse as the hints.
-3096                If an `Expression` instance is passed, it will be used as-is.
-3097            dialect: The dialect used to parse the hints.
-3098            copy: If `False`, modify this expression instance in-place.
-3099
-3100        Returns:
-3101            The modified expression.
-3102        """
-3103        inst = _maybe_copy(self, copy)
-3104        inst.set(
-3105            "hint", Hint(expressions=[maybe_parse(h, copy=copy, dialect=dialect) for h in hints])
-3106        )
-3107
-3108        return inst
+            
    3088    def hint(self, *hints: ExpOrStr, dialect: DialectType = None, copy: bool = True) -> Select:
+3089        """
+3090        Set hints for this expression.
+3091
+3092        Examples:
+3093            >>> Select().select("x").from_("tbl").hint("BROADCAST(y)").sql(dialect="spark")
+3094            'SELECT /*+ BROADCAST(y) */ x FROM tbl'
+3095
+3096        Args:
+3097            hints: The SQL code strings to parse as the hints.
+3098                If an `Expression` instance is passed, it will be used as-is.
+3099            dialect: The dialect used to parse the hints.
+3100            copy: If `False`, modify this expression instance in-place.
+3101
+3102        Returns:
+3103            The modified expression.
+3104        """
+3105        inst = _maybe_copy(self, copy)
+3106        inst.set(
+3107            "hint", Hint(expressions=[maybe_parse(h, copy=copy, dialect=dialect) for h in hints])
+3108        )
+3109
+3110        return inst
 
    
 
 
@@ -26645,30 +26724,30 @@ If an Expression instance is passed, it w
    - 
    3123class Subquery(DerivedTable, Unionable):
-3124    arg_types = {
-3125        "this": True,
-3126        "alias": False,
-3127        "with": False,
-3128        **QUERY_MODIFIERS,
-3129    }
-3130
-3131    def unnest(self):
-3132        """
-3133        Returns the first non subquery.
-3134        """
-3135        expression = self
-3136        while isinstance(expression, Subquery):
-3137            expression = expression.this
-3138        return expression
-3139
-3140    @property
-3141    def is_star(self) -> bool:
-3142        return self.this.is_star
-3143
-3144    @property
-3145    def output_name(self) -> str:
-3146        return self.alias
+            
    3125class Subquery(DerivedTable, Unionable):
+3126    arg_types = {
+3127        "this": True,
+3128        "alias": False,
+3129        "with": False,
+3130        **QUERY_MODIFIERS,
+3131    }
+3132
+3133    def unnest(self):
+3134        """
+3135        Returns the first non subquery.
+3136        """
+3137        expression = self
+3138        while isinstance(expression, Subquery):
+3139            expression = expression.this
+3140        return expression
+3141
+3142    @property
+3143    def is_star(self) -> bool:
+3144        return self.this.is_star
+3145
+3146    @property
+3147    def output_name(self) -> str:
+3148        return self.alias
 
    
 
 
@@ -26685,14 +26764,14 @@ If an Expression instance is passed, it w
    - 
    3131    def unnest(self):
-3132        """
-3133        Returns the first non subquery.
-3134        """
-3135        expression = self
-3136        while isinstance(expression, Subquery):
-3137            expression = expression.this
-3138        return expression
+            
    3133    def unnest(self):
+3134        """
+3135        Returns the first non subquery.
+3136        """
+3137        expression = self
+3138        while isinstance(expression, Subquery):
+3139            expression = expression.this
+3140        return expression
 
    
 
 
@@ -26805,19 +26884,19 @@ If an Expression instance is passed, it w
    - 
    3149class TableSample(Expression):
-3150    arg_types = {
-3151        "this": False,
-3152        "method": False,
-3153        "bucket_numerator": False,
-3154        "bucket_denominator": False,
-3155        "bucket_field": False,
-3156        "percent": False,
-3157        "rows": False,
-3158        "size": False,
-3159        "seed": False,
-3160        "kind": False,
-3161    }
+            
    3151class TableSample(Expression):
+3152    arg_types = {
+3153        "this": False,
+3154        "method": False,
+3155        "bucket_numerator": False,
+3156        "bucket_denominator": False,
+3157        "bucket_field": False,
+3158        "percent": False,
+3159        "rows": False,
+3160        "size": False,
+3161        "seed": False,
+3162        "kind": False,
+3163    }
 
    
 
 
@@ -26881,14 +26960,14 @@ If an Expression instance is passed, it w
    - 
    3164class Tag(Expression):
-3165    """Tags are used for generating arbitrary sql like SELECT <span>x</span>."""
-3166
-3167    arg_types = {
-3168        "this": False,
-3169        "prefix": False,
-3170        "postfix": False,
-3171    }
+            
    3166class Tag(Expression):
+3167    """Tags are used for generating arbitrary sql like SELECT <span>x</span>."""
+3168
+3169    arg_types = {
+3170        "this": False,
+3171        "prefix": False,
+3172        "postfix": False,
+3173    }
 
    
 
 
@@ -26954,17 +27033,17 @@ If an Expression instance is passed, it w
    - 
    3176class Pivot(Expression):
-3177    arg_types = {
-3178        "this": False,
-3179        "alias": False,
-3180        "expressions": True,
-3181        "field": False,
-3182        "unpivot": False,
-3183        "using": False,
-3184        "group": False,
-3185        "columns": False,
-3186    }
+            
    3178class Pivot(Expression):
+3179    arg_types = {
+3180        "this": False,
+3181        "alias": False,
+3182        "expressions": True,
+3183        "field": False,
+3184        "unpivot": False,
+3185        "using": False,
+3186        "group": False,
+3187        "columns": False,
+3188    }
 
    
 
 
@@ -27028,16 +27107,16 @@ If an Expression instance is passed, it w
    - 
    3189class Window(Expression):
-3190    arg_types = {
-3191        "this": True,
-3192        "partition_by": False,
-3193        "order": False,
-3194        "spec": False,
-3195        "alias": False,
-3196        "over": False,
-3197        "first": False,
-3198    }
+            
    3191class Window(Expression):
+3192    arg_types = {
+3193        "this": True,
+3194        "partition_by": False,
+3195        "order": False,
+3196        "spec": False,
+3197        "alias": False,
+3198        "over": False,
+3199        "first": False,
+3200    }
 
    
 
 
@@ -27101,14 +27180,14 @@ If an Expression instance is passed, it w
    - 
    3201class WindowSpec(Expression):
-3202    arg_types = {
-3203        "kind": False,
-3204        "start": False,
-3205        "start_side": False,
-3206        "end": False,
-3207        "end_side": False,
-3208    }
+            
    3203class WindowSpec(Expression):
+3204    arg_types = {
+3205        "kind": False,
+3206        "start": False,
+3207        "start_side": False,
+3208        "end": False,
+3209        "end_side": False,
+3210    }
 
    
 
 
@@ -27172,8 +27251,8 @@ If an Expression instance is passed, it w
    - 
    3211class Where(Expression):
-3212    pass
+            
    3213class Where(Expression):
+3214    pass
 
    
 
 
@@ -27237,16 +27316,16 @@ If an Expression instance is passed, it w
    - 
    3215class Star(Expression):
-3216    arg_types = {"except": False, "replace": False}
-3217
-3218    @property
-3219    def name(self) -> str:
-3220        return "*"
-3221
-3222    @property
-3223    def output_name(self) -> str:
-3224        return self.name
+            
    3217class Star(Expression):
+3218    arg_types = {"except": False, "replace": False}
+3219
+3220    @property
+3221    def name(self) -> str:
+3222        return "*"
+3223
+3224    @property
+3225    def output_name(self) -> str:
+3226        return self.name
 
    
 
 
@@ -27333,14 +27412,14 @@ If an Expression instance is passed, it w
 
    
             
     class
-    Parameter(Expression):
+    Parameter(Condition):
 
                 
 
     
    
     
-            
    3227class Parameter(Expression):
-3228    arg_types = {"this": True, "wrapped": False}
+            
    3229class Parameter(Condition):
+3230    arg_types = {"this": True, "wrapped": False}
 
    
 
 
@@ -27389,6 +27468,21 @@ If an Expression instance is passed, it w
                 
    dump
    
                 
    load
    
 
+            
    
+            
    Condition
    
+                                
    and_
    
+                
    or_
    
+                
    not_
    
+                
    as_
    
+                
    isin
    
+                
    between
    
+                
    is_
    
+                
    like
    
+                
    ilike
    
+                
    eq
    
+                
    neq
    
+                
    rlike
    
+
    @@ -27398,14 +27492,14 @@ If an Expression instance is passed, it w
    class - SessionParameter(Expression): + SessionParameter(Condition):
    - 
    3231class SessionParameter(Expression):
-3232    arg_types = {"this": True, "kind": False}
+            
    3233class SessionParameter(Condition):
+3234    arg_types = {"this": True, "kind": False}
 
    
 
 
@@ -27454,6 +27548,21 @@ If an Expression instance is passed, it w
                 
    dump
    
                 
    load
    
 
+
    +
    Condition
    +
    and_
    +
    or_
    +
    not_
    +
    as_
    +
    isin
    +
    between
    +
    is_
    +
    like
    +
    ilike
    +
    eq
    +
    neq
    +
    rlike
    +
    @@ -27463,14 +27572,14 @@ If an Expression instance is passed, it w
    class - Placeholder(Expression): + Placeholder(Condition):
    - 
    3235class Placeholder(Expression):
-3236    arg_types = {"this": False, "kind": False}
+            
    3237class Placeholder(Condition):
+3238    arg_types = {"this": False, "kind": False}
 
    
 
 
@@ -27519,6 +27628,21 @@ If an Expression instance is passed, it w
                 
    dump
    
                 
    load
    
 
+
    +
    Condition
    +
    and_
    +
    or_
    +
    not_
    +
    as_
    +
    isin
    +
    between
    +
    is_
    +
    like
    +
    ilike
    +
    eq
    +
    neq
    +
    rlike
    +
    @@ -27534,12 +27658,12 @@ If an Expression instance is passed, it w - 
    3239class Null(Condition):
-3240    arg_types: t.Dict[str, t.Any] = {}
-3241
-3242    @property
-3243    def name(self) -> str:
-3244        return "NULL"
+            
    3241class Null(Condition):
+3242    arg_types: t.Dict[str, t.Any] = {}
+3243
+3244    @property
+3245    def name(self) -> str:
+3246        return "NULL"
 
    
 
 
@@ -27618,8 +27742,8 @@ If an Expression instance is passed, it w
    - 
    3247class Boolean(Condition):
-3248    pass
+            
    3249class Boolean(Condition):
+3250    pass
 
    
 
 
@@ -27698,8 +27822,8 @@ If an Expression instance is passed, it w
    - 
    3251class DataTypeSize(Expression):
-3252    arg_types = {"this": True, "expression": False}
+            
    3253class DataTypeSize(Expression):
+3254    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -27763,153 +27887,156 @@ If an Expression instance is passed, it w
    - 
    3255class DataType(Expression):
-3256    arg_types = {
-3257        "this": True,
-3258        "expressions": False,
-3259        "nested": False,
-3260        "values": False,
-3261        "prefix": False,
-3262    }
-3263
-3264    class Type(AutoName):
-3265        ARRAY = auto()
-3266        BIGDECIMAL = auto()
-3267        BIGINT = auto()
-3268        BIGSERIAL = auto()
-3269        BINARY = auto()
-3270        BIT = auto()
-3271        BOOLEAN = auto()
-3272        CHAR = auto()
-3273        DATE = auto()
-3274        DATETIME = auto()
-3275        DATETIME64 = auto()
-3276        ENUM = auto()
-3277        INT4RANGE = auto()
-3278        INT4MULTIRANGE = auto()
-3279        INT8RANGE = auto()
-3280        INT8MULTIRANGE = auto()
-3281        NUMRANGE = auto()
-3282        NUMMULTIRANGE = auto()
-3283        TSRANGE = auto()
-3284        TSMULTIRANGE = auto()
-3285        TSTZRANGE = auto()
-3286        TSTZMULTIRANGE = auto()
-3287        DATERANGE = auto()
-3288        DATEMULTIRANGE = auto()
-3289        DECIMAL = auto()
-3290        DOUBLE = auto()
-3291        FLOAT = auto()
-3292        GEOGRAPHY = auto()
-3293        GEOMETRY = auto()
-3294        HLLSKETCH = auto()
-3295        HSTORE = auto()
-3296        IMAGE = auto()
-3297        INET = auto()
-3298        INT = auto()
-3299        INT128 = auto()
-3300        INT256 = auto()
-3301        INTERVAL = auto()
-3302        JSON = auto()
-3303        JSONB = auto()
-3304        LONGBLOB = auto()
-3305        LONGTEXT = auto()
-3306        MAP = auto()
-3307        MEDIUMBLOB = auto()
-3308        MEDIUMTEXT = auto()
-3309        MONEY = auto()
-3310        NCHAR = auto()
-3311        NULL = auto()
-3312        NULLABLE = auto()
-3313        NVARCHAR = auto()
-3314        OBJECT = auto()
-3315        ROWVERSION = auto()
-3316        SERIAL = auto()
-3317        SET = auto()
-3318        SMALLINT = auto()
-3319        SMALLMONEY = auto()
-3320        SMALLSERIAL = auto()
-3321        STRUCT = auto()
-3322        SUPER = auto()
-3323        TEXT = auto()
-3324        TIME = auto()
-3325        TIMESTAMP = auto()
-3326        TIMESTAMPTZ = auto()
-3327        TIMESTAMPLTZ = auto()
-3328        TINYINT = auto()
-3329        UBIGINT = auto()
-3330        UINT = auto()
-3331        USMALLINT = auto()
-3332        UTINYINT = auto()
-3333        UNKNOWN = auto()  # Sentinel value, useful for type annotation
-3334        UINT128 = auto()
-3335        UINT256 = auto()
-3336        UNIQUEIDENTIFIER = auto()
-3337        UUID = auto()
-3338        VARBINARY = auto()
-3339        VARCHAR = auto()
-3340        VARIANT = auto()
-3341        XML = auto()
-3342
-3343    TEXT_TYPES = {
-3344        Type.CHAR,
-3345        Type.NCHAR,
-3346        Type.VARCHAR,
-3347        Type.NVARCHAR,
-3348        Type.TEXT,
-3349    }
-3350
-3351    INTEGER_TYPES = {
-3352        Type.INT,
-3353        Type.TINYINT,
-3354        Type.SMALLINT,
-3355        Type.BIGINT,
-3356        Type.INT128,
-3357        Type.INT256,
-3358    }
-3359
-3360    FLOAT_TYPES = {
-3361        Type.FLOAT,
-3362        Type.DOUBLE,
-3363    }
-3364
-3365    NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES}
+            
    3257class DataType(Expression):
+3258    arg_types = {
+3259        "this": True,
+3260        "expressions": False,
+3261        "nested": False,
+3262        "values": False,
+3263        "prefix": False,
+3264    }
+3265
+3266    class Type(AutoName):
+3267        ARRAY = auto()
+3268        BIGDECIMAL = auto()
+3269        BIGINT = auto()
+3270        BIGSERIAL = auto()
+3271        BINARY = auto()
+3272        BIT = auto()
+3273        BOOLEAN = auto()
+3274        CHAR = auto()
+3275        DATE = auto()
+3276        DATETIME = auto()
+3277        DATETIME64 = auto()
+3278        ENUM = auto()
+3279        INT4RANGE = auto()
+3280        INT4MULTIRANGE = auto()
+3281        INT8RANGE = auto()
+3282        INT8MULTIRANGE = auto()
+3283        NUMRANGE = auto()
+3284        NUMMULTIRANGE = auto()
+3285        TSRANGE = auto()
+3286        TSMULTIRANGE = auto()
+3287        TSTZRANGE = auto()
+3288        TSTZMULTIRANGE = auto()
+3289        DATERANGE = auto()
+3290        DATEMULTIRANGE = auto()
+3291        DECIMAL = auto()
+3292        DOUBLE = auto()
+3293        FLOAT = auto()
+3294        GEOGRAPHY = auto()
+3295        GEOMETRY = auto()
+3296        HLLSKETCH = auto()
+3297        HSTORE = auto()
+3298        IMAGE = auto()
+3299        INET = auto()
+3300        INT = auto()
+3301        INT128 = auto()
+3302        INT256 = auto()
+3303        INTERVAL = auto()
+3304        JSON = auto()
+3305        JSONB = auto()
+3306        LONGBLOB = auto()
+3307        LONGTEXT = auto()
+3308        MAP = auto()
+3309        MEDIUMBLOB = auto()
+3310        MEDIUMTEXT = auto()
+3311        MONEY = auto()
+3312        NCHAR = auto()
+3313        NULL = auto()
+3314        NULLABLE = auto()
+3315        NVARCHAR = auto()
+3316        OBJECT = auto()
+3317        ROWVERSION = auto()
+3318        SERIAL = auto()
+3319        SET = auto()
+3320        SMALLINT = auto()
+3321        SMALLMONEY = auto()
+3322        SMALLSERIAL = auto()
+3323        STRUCT = auto()
+3324        SUPER = auto()
+3325        TEXT = auto()
+3326        TIME = auto()
+3327        TIMESTAMP = auto()
+3328        TIMESTAMPTZ = auto()
+3329        TIMESTAMPLTZ = auto()
+3330        TINYINT = auto()
+3331        UBIGINT = auto()
+3332        UINT = auto()
+3333        USMALLINT = auto()
+3334        UTINYINT = auto()
+3335        UNKNOWN = auto()  # Sentinel value, useful for type annotation
+3336        UINT128 = auto()
+3337        UINT256 = auto()
+3338        UNIQUEIDENTIFIER = auto()
+3339        UUID = auto()
+3340        VARBINARY = auto()
+3341        VARCHAR = auto()
+3342        VARIANT = auto()
+3343        XML = auto()
+3344
+3345    TEXT_TYPES = {
+3346        Type.CHAR,
+3347        Type.NCHAR,
+3348        Type.VARCHAR,
+3349        Type.NVARCHAR,
+3350        Type.TEXT,
+3351    }
+3352
+3353    INTEGER_TYPES = {
+3354        Type.INT,
+3355        Type.TINYINT,
+3356        Type.SMALLINT,
+3357        Type.BIGINT,
+3358        Type.INT128,
+3359        Type.INT256,
+3360    }
+3361
+3362    FLOAT_TYPES = {
+3363        Type.FLOAT,
+3364        Type.DOUBLE,
+3365    }
 3366
-3367    TEMPORAL_TYPES = {
-3368        Type.TIME,
-3369        Type.TIMESTAMP,
-3370        Type.TIMESTAMPTZ,
-3371        Type.TIMESTAMPLTZ,
-3372        Type.DATE,
-3373        Type.DATETIME,
-3374        Type.DATETIME64,
-3375    }
-3376
-3377    @classmethod
-3378    def build(
-3379        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
-3380    ) -> DataType:
-3381        from sqlglot import parse_one
-3382
-3383        if isinstance(dtype, str):
-3384            if dtype.upper() == "UNKNOWN":
-3385                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type.UNKNOWN)
-3386            else:
-3387                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
-3388
-3389            if data_type_exp is None:
-3390                raise ValueError(f"Unparsable data type value: {dtype}")
-3391        elif isinstance(dtype, DataType.Type):
-3392            data_type_exp = DataType(this=dtype)
-3393        elif isinstance(dtype, DataType):
-3394            return dtype
-3395        else:
-3396            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
-3397
-3398        return DataType(**{**data_type_exp.args, **kwargs})
-3399
-3400    def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool:
-3401        return any(self.this == DataType.build(dtype).this for dtype in dtypes)
+3367    NUMERIC_TYPES = {*INTEGER_TYPES, *FLOAT_TYPES}
+3368
+3369    TEMPORAL_TYPES = {
+3370        Type.TIME,
+3371        Type.TIMESTAMP,
+3372        Type.TIMESTAMPTZ,
+3373        Type.TIMESTAMPLTZ,
+3374        Type.DATE,
+3375        Type.DATETIME,
+3376        Type.DATETIME64,
+3377    }
+3378
+3379    META_TYPES = {"UNKNOWN", "NULL"}
+3380
+3381    @classmethod
+3382    def build(
+3383        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
+3384    ) -> DataType:
+3385        from sqlglot import parse_one
+3386
+3387        if isinstance(dtype, str):
+3388            upper = dtype.upper()
+3389            if upper in DataType.META_TYPES:
+3390                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[upper])
+3391            else:
+3392                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
+3393
+3394            if data_type_exp is None:
+3395                raise ValueError(f"Unparsable data type value: {dtype}")
+3396        elif isinstance(dtype, DataType.Type):
+3397            data_type_exp = DataType(this=dtype)
+3398        elif isinstance(dtype, DataType):
+3399            return dtype
+3400        else:
+3401            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
+3402
+3403        return DataType(**{**data_type_exp.args, **kwargs})
+3404
+3405    def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool:
+3406        return any(self.this == DataType.build(dtype).this for dtype in dtypes)
 
    
 
 
@@ -27927,28 +28054,29 @@ If an Expression instance is passed, it w
    - 
    3377    @classmethod
-3378    def build(
-3379        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
-3380    ) -> DataType:
-3381        from sqlglot import parse_one
-3382
-3383        if isinstance(dtype, str):
-3384            if dtype.upper() == "UNKNOWN":
-3385                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type.UNKNOWN)
-3386            else:
-3387                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
-3388
-3389            if data_type_exp is None:
-3390                raise ValueError(f"Unparsable data type value: {dtype}")
-3391        elif isinstance(dtype, DataType.Type):
-3392            data_type_exp = DataType(this=dtype)
-3393        elif isinstance(dtype, DataType):
-3394            return dtype
-3395        else:
-3396            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
-3397
-3398        return DataType(**{**data_type_exp.args, **kwargs})
+            
    3381    @classmethod
+3382    def build(
+3383        cls, dtype: str | DataType | DataType.Type, dialect: DialectType = None, **kwargs
+3384    ) -> DataType:
+3385        from sqlglot import parse_one
+3386
+3387        if isinstance(dtype, str):
+3388            upper = dtype.upper()
+3389            if upper in DataType.META_TYPES:
+3390                data_type_exp: t.Optional[Expression] = DataType(this=DataType.Type[upper])
+3391            else:
+3392                data_type_exp = parse_one(dtype, read=dialect, into=DataType)
+3393
+3394            if data_type_exp is None:
+3395                raise ValueError(f"Unparsable data type value: {dtype}")
+3396        elif isinstance(dtype, DataType.Type):
+3397            data_type_exp = DataType(this=dtype)
+3398        elif isinstance(dtype, DataType):
+3399            return dtype
+3400        else:
+3401            raise ValueError(f"Invalid data type: {type(dtype)}. Expected str or DataType.Type")
+3402
+3403        return DataType(**{**data_type_exp.args, **kwargs})
 
    
 
 
@@ -27966,8 +28094,8 @@ If an Expression instance is passed, it w
    - 
    3400    def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool:
-3401        return any(self.this == DataType.build(dtype).this for dtype in dtypes)
+            
    3405    def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool:
+3406        return any(self.this == DataType.build(dtype).this for dtype in dtypes)
 
    
 
 
@@ -28032,84 +28160,84 @@ If an Expression instance is passed, it w
    - 
    3264    class Type(AutoName):
-3265        ARRAY = auto()
-3266        BIGDECIMAL = auto()
-3267        BIGINT = auto()
-3268        BIGSERIAL = auto()
-3269        BINARY = auto()
-3270        BIT = auto()
-3271        BOOLEAN = auto()
-3272        CHAR = auto()
-3273        DATE = auto()
-3274        DATETIME = auto()
-3275        DATETIME64 = auto()
-3276        ENUM = auto()
-3277        INT4RANGE = auto()
-3278        INT4MULTIRANGE = auto()
-3279        INT8RANGE = auto()
-3280        INT8MULTIRANGE = auto()
-3281        NUMRANGE = auto()
-3282        NUMMULTIRANGE = auto()
-3283        TSRANGE = auto()
-3284        TSMULTIRANGE = auto()
-3285        TSTZRANGE = auto()
-3286        TSTZMULTIRANGE = auto()
-3287        DATERANGE = auto()
-3288        DATEMULTIRANGE = auto()
-3289        DECIMAL = auto()
-3290        DOUBLE = auto()
-3291        FLOAT = auto()
-3292        GEOGRAPHY = auto()
-3293        GEOMETRY = auto()
-3294        HLLSKETCH = auto()
-3295        HSTORE = auto()
-3296        IMAGE = auto()
-3297        INET = auto()
-3298        INT = auto()
-3299        INT128 = auto()
-3300        INT256 = auto()
-3301        INTERVAL = auto()
-3302        JSON = auto()
-3303        JSONB = auto()
-3304        LONGBLOB = auto()
-3305        LONGTEXT = auto()
-3306        MAP = auto()
-3307        MEDIUMBLOB = auto()
-3308        MEDIUMTEXT = auto()
-3309        MONEY = auto()
-3310        NCHAR = auto()
-3311        NULL = auto()
-3312        NULLABLE = auto()
-3313        NVARCHAR = auto()
-3314        OBJECT = auto()
-3315        ROWVERSION = auto()
-3316        SERIAL = auto()
-3317        SET = auto()
-3318        SMALLINT = auto()
-3319        SMALLMONEY = auto()
-3320        SMALLSERIAL = auto()
-3321        STRUCT = auto()
-3322        SUPER = auto()
-3323        TEXT = auto()
-3324        TIME = auto()
-3325        TIMESTAMP = auto()
-3326        TIMESTAMPTZ = auto()
-3327        TIMESTAMPLTZ = auto()
-3328        TINYINT = auto()
-3329        UBIGINT = auto()
-3330        UINT = auto()
-3331        USMALLINT = auto()
-3332        UTINYINT = auto()
-3333        UNKNOWN = auto()  # Sentinel value, useful for type annotation
-3334        UINT128 = auto()
-3335        UINT256 = auto()
-3336        UNIQUEIDENTIFIER = auto()
-3337        UUID = auto()
-3338        VARBINARY = auto()
-3339        VARCHAR = auto()
-3340        VARIANT = auto()
-3341        XML = auto()
+            
    3266    class Type(AutoName):
+3267        ARRAY = auto()
+3268        BIGDECIMAL = auto()
+3269        BIGINT = auto()
+3270        BIGSERIAL = auto()
+3271        BINARY = auto()
+3272        BIT = auto()
+3273        BOOLEAN = auto()
+3274        CHAR = auto()
+3275        DATE = auto()
+3276        DATETIME = auto()
+3277        DATETIME64 = auto()
+3278        ENUM = auto()
+3279        INT4RANGE = auto()
+3280        INT4MULTIRANGE = auto()
+3281        INT8RANGE = auto()
+3282        INT8MULTIRANGE = auto()
+3283        NUMRANGE = auto()
+3284        NUMMULTIRANGE = auto()
+3285        TSRANGE = auto()
+3286        TSMULTIRANGE = auto()
+3287        TSTZRANGE = auto()
+3288        TSTZMULTIRANGE = auto()
+3289        DATERANGE = auto()
+3290        DATEMULTIRANGE = auto()
+3291        DECIMAL = auto()
+3292        DOUBLE = auto()
+3293        FLOAT = auto()
+3294        GEOGRAPHY = auto()
+3295        GEOMETRY = auto()
+3296        HLLSKETCH = auto()
+3297        HSTORE = auto()
+3298        IMAGE = auto()
+3299        INET = auto()
+3300        INT = auto()
+3301        INT128 = auto()
+3302        INT256 = auto()
+3303        INTERVAL = auto()
+3304        JSON = auto()
+3305        JSONB = auto()
+3306        LONGBLOB = auto()
+3307        LONGTEXT = auto()
+3308        MAP = auto()
+3309        MEDIUMBLOB = auto()
+3310        MEDIUMTEXT = auto()
+3311        MONEY = auto()
+3312        NCHAR = auto()
+3313        NULL = auto()
+3314        NULLABLE = auto()
+3315        NVARCHAR = auto()
+3316        OBJECT = auto()
+3317        ROWVERSION = auto()
+3318        SERIAL = auto()
+3319        SET = auto()
+3320        SMALLINT = auto()
+3321        SMALLMONEY = auto()
+3322        SMALLSERIAL = auto()
+3323        STRUCT = auto()
+3324        SUPER = auto()
+3325        TEXT = auto()
+3326        TIME = auto()
+3327        TIMESTAMP = auto()
+3328        TIMESTAMPTZ = auto()
+3329        TIMESTAMPLTZ = auto()
+3330        TINYINT = auto()
+3331        UBIGINT = auto()
+3332        UINT = auto()
+3333        USMALLINT = auto()
+3334        UTINYINT = auto()
+3335        UNKNOWN = auto()  # Sentinel value, useful for type annotation
+3336        UINT128 = auto()
+3337        UINT256 = auto()
+3338        UNIQUEIDENTIFIER = auto()
+3339        UUID = auto()
+3340        VARBINARY = auto()
+3341        VARCHAR = auto()
+3342        VARIANT = auto()
+3343        XML = auto()
 
    
 
 
@@ -29063,8 +29191,8 @@ If an Expression instance is passed, it w
    - 
    3405class PseudoType(Expression):
-3406    pass
+            
    3410class PseudoType(Expression):
+3411    pass
 
    
 
 
@@ -29128,8 +29256,8 @@ If an Expression instance is passed, it w
    - 
    3410class SubqueryPredicate(Predicate):
-3411    pass
+            
    3415class SubqueryPredicate(Predicate):
+3416    pass
 
    
 
 
@@ -29208,8 +29336,8 @@ If an Expression instance is passed, it w
    - 
    3414class All(SubqueryPredicate):
-3415    pass
+            
    3419class All(SubqueryPredicate):
+3420    pass
 
    
 
 
@@ -29288,8 +29416,8 @@ If an Expression instance is passed, it w
    - 
    3418class Any(SubqueryPredicate):
-3419    pass
+            
    3423class Any(SubqueryPredicate):
+3424    pass
 
    
 
 
@@ -29368,8 +29496,8 @@ If an Expression instance is passed, it w
    - 
    3422class Exists(SubqueryPredicate):
-3423    pass
+            
    3427class Exists(SubqueryPredicate):
+3428    pass
 
    
 
 
@@ -29448,8 +29576,8 @@ If an Expression instance is passed, it w
    - 
    3428class Command(Expression):
-3429    arg_types = {"this": True, "expression": False}
+            
    3433class Command(Expression):
+3434    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -29513,8 +29641,8 @@ If an Expression instance is passed, it w
    - 
    3432class Transaction(Expression):
-3433    arg_types = {"this": False, "modes": False}
+            
    3437class Transaction(Expression):
+3438    arg_types = {"this": False, "modes": False}
 
    
 
 
@@ -29578,8 +29706,8 @@ If an Expression instance is passed, it w
    - 
    3436class Commit(Expression):
-3437    arg_types = {"chain": False}
+            
    3441class Commit(Expression):
+3442    arg_types = {"chain": False}
 
    
 
 
@@ -29643,8 +29771,8 @@ If an Expression instance is passed, it w
    - 
    3440class Rollback(Expression):
-3441    arg_types = {"savepoint": False}
+            
    3445class Rollback(Expression):
+3446    arg_types = {"savepoint": False}
 
    
 
 
@@ -29708,8 +29836,8 @@ If an Expression instance is passed, it w
    - 
    3444class AlterTable(Expression):
-3445    arg_types = {"this": True, "actions": True, "exists": False}
+            
    3449class AlterTable(Expression):
+3450    arg_types = {"this": True, "actions": True, "exists": False}
 
    
 
 
@@ -29773,8 +29901,8 @@ If an Expression instance is passed, it w
    - 
    3448class AddConstraint(Expression):
-3449    arg_types = {"this": False, "expression": False, "enforced": False}
+            
    3453class AddConstraint(Expression):
+3454    arg_types = {"this": False, "expression": False, "enforced": False}
 
    
 
 
@@ -29838,8 +29966,8 @@ If an Expression instance is passed, it w
    - 
    3452class DropPartition(Expression):
-3453    arg_types = {"expressions": True, "exists": False}
+            
    3457class DropPartition(Expression):
+3458    arg_types = {"expressions": True, "exists": False}
 
    
 
 
@@ -29903,16 +30031,16 @@ If an Expression instance is passed, it w
    - 
    3457class Binary(Condition):
-3458    arg_types = {"this": True, "expression": True}
-3459
-3460    @property
-3461    def left(self):
-3462        return self.this
-3463
-3464    @property
-3465    def right(self):
-3466        return self.expression
+            
    3462class Binary(Condition):
+3463    arg_types = {"this": True, "expression": True}
+3464
+3465    @property
+3466    def left(self):
+3467        return self.this
+3468
+3469    @property
+3470    def right(self):
+3471        return self.expression
 
    
 
 
@@ -29991,8 +30119,8 @@ If an Expression instance is passed, it w
    - 
    3469class Add(Binary):
-3470    pass
+            
    3474class Add(Binary):
+3475    pass
 
    
 
 
@@ -30071,8 +30199,8 @@ If an Expression instance is passed, it w
    - 
    3473class Connector(Binary):
-3474    pass
+            
    3478class Connector(Binary):
+3479    pass
 
    
 
 
@@ -30151,8 +30279,8 @@ If an Expression instance is passed, it w
    - 
    3477class And(Connector):
-3478    pass
+            
    3482class And(Connector):
+3483    pass
 
    
 
 
@@ -30231,8 +30359,8 @@ If an Expression instance is passed, it w
    - 
    3481class Or(Connector):
-3482    pass
+            
    3486class Or(Connector):
+3487    pass
 
    
 
 
@@ -30311,8 +30439,8 @@ If an Expression instance is passed, it w
    - 
    3485class BitwiseAnd(Binary):
-3486    pass
+            
    3490class BitwiseAnd(Binary):
+3491    pass
 
    
 
 
@@ -30391,8 +30519,8 @@ If an Expression instance is passed, it w
    - 
    3489class BitwiseLeftShift(Binary):
-3490    pass
+            
    3494class BitwiseLeftShift(Binary):
+3495    pass
 
    
 
 
@@ -30471,8 +30599,8 @@ If an Expression instance is passed, it w
    - 
    3493class BitwiseOr(Binary):
-3494    pass
+            
    3498class BitwiseOr(Binary):
+3499    pass
 
    
 
 
@@ -30551,8 +30679,8 @@ If an Expression instance is passed, it w
    - 
    3497class BitwiseRightShift(Binary):
-3498    pass
+            
    3502class BitwiseRightShift(Binary):
+3503    pass
 
    
 
 
@@ -30631,8 +30759,8 @@ If an Expression instance is passed, it w
    - 
    3501class BitwiseXor(Binary):
-3502    pass
+            
    3506class BitwiseXor(Binary):
+3507    pass
 
    
 
 
@@ -30711,8 +30839,8 @@ If an Expression instance is passed, it w
    - 
    3505class Div(Binary):
-3506    pass
+            
    3510class Div(Binary):
+3511    pass
 
    
 
 
@@ -30791,8 +30919,8 @@ If an Expression instance is passed, it w
    - 
    3509class Overlaps(Binary):
-3510    pass
+            
    3514class Overlaps(Binary):
+3515    pass
 
    
 
 
@@ -30871,28 +30999,28 @@ If an Expression instance is passed, it w
    - 
    3513class Dot(Binary):
-3514    @property
-3515    def name(self) -> str:
-3516        return self.expression.name
-3517
-3518    @property
-3519    def output_name(self) -> str:
-3520        return self.name
-3521
-3522    @classmethod
-3523    def build(self, expressions: t.Sequence[Expression]) -> Dot:
-3524        """Build a Dot object with a sequence of expressions."""
-3525        if len(expressions) < 2:
-3526            raise ValueError(f"Dot requires >= 2 expressions.")
-3527
-3528        a, b, *expressions = expressions
-3529        dot = Dot(this=a, expression=b)
-3530
-3531        for expression in expressions:
-3532            dot = Dot(this=dot, expression=expression)
-3533
-3534        return dot
+            
    3518class Dot(Binary):
+3519    @property
+3520    def name(self) -> str:
+3521        return self.expression.name
+3522
+3523    @property
+3524    def output_name(self) -> str:
+3525        return self.name
+3526
+3527    @classmethod
+3528    def build(self, expressions: t.Sequence[Expression]) -> Dot:
+3529        """Build a Dot object with a sequence of expressions."""
+3530        if len(expressions) < 2:
+3531            raise ValueError(f"Dot requires >= 2 expressions.")
+3532
+3533        a, b, *expressions = expressions
+3534        dot = Dot(this=a, expression=b)
+3535
+3536        for expression in expressions:
+3537            dot = Dot(this=dot, expression=expression)
+3538
+3539        return dot
 
    
 
 
@@ -30940,19 +31068,19 @@ If an Expression instance is passed, it w
    - 
    3522    @classmethod
-3523    def build(self, expressions: t.Sequence[Expression]) -> Dot:
-3524        """Build a Dot object with a sequence of expressions."""
-3525        if len(expressions) < 2:
-3526            raise ValueError(f"Dot requires >= 2 expressions.")
-3527
-3528        a, b, *expressions = expressions
-3529        dot = Dot(this=a, expression=b)
-3530
-3531        for expression in expressions:
-3532            dot = Dot(this=dot, expression=expression)
-3533
-3534        return dot
+            
    3527    @classmethod
+3528    def build(self, expressions: t.Sequence[Expression]) -> Dot:
+3529        """Build a Dot object with a sequence of expressions."""
+3530        if len(expressions) < 2:
+3531            raise ValueError(f"Dot requires >= 2 expressions.")
+3532
+3533        a, b, *expressions = expressions
+3534        dot = Dot(this=a, expression=b)
+3535
+3536        for expression in expressions:
+3537            dot = Dot(this=dot, expression=expression)
+3538
+3539        return dot
 
    
 
 
@@ -31033,8 +31161,8 @@ If an Expression instance is passed, it w
    - 
    3537class DPipe(Binary):
-3538    pass
+            
    3542class DPipe(Binary):
+3543    pass
 
    
 
 
@@ -31113,8 +31241,8 @@ If an Expression instance is passed, it w
    - 
    3541class SafeDPipe(DPipe):
-3542    pass
+            
    3546class SafeDPipe(DPipe):
+3547    pass
 
    
 
 
@@ -31193,8 +31321,8 @@ If an Expression instance is passed, it w
    - 
    3545class EQ(Binary, Predicate):
-3546    pass
+            
    3550class EQ(Binary, Predicate):
+3551    pass
 
    
 
 
@@ -31273,8 +31401,8 @@ If an Expression instance is passed, it w
    - 
    3549class NullSafeEQ(Binary, Predicate):
-3550    pass
+            
    3554class NullSafeEQ(Binary, Predicate):
+3555    pass
 
    
 
 
@@ -31353,8 +31481,8 @@ If an Expression instance is passed, it w
    - 
    3553class NullSafeNEQ(Binary, Predicate):
-3554    pass
+            
    3558class NullSafeNEQ(Binary, Predicate):
+3559    pass
 
    
 
 
@@ -31433,8 +31561,8 @@ If an Expression instance is passed, it w
    - 
    3557class Distance(Binary):
-3558    pass
+            
    3562class Distance(Binary):
+3563    pass
 
    
 
 
@@ -31513,8 +31641,8 @@ If an Expression instance is passed, it w
    - 
    3561class Escape(Binary):
-3562    pass
+            
    3566class Escape(Binary):
+3567    pass
 
    
 
 
@@ -31593,8 +31721,8 @@ If an Expression instance is passed, it w
    - 
    3565class Glob(Binary, Predicate):
-3566    pass
+            
    3570class Glob(Binary, Predicate):
+3571    pass
 
    
 
 
@@ -31673,8 +31801,8 @@ If an Expression instance is passed, it w
    - 
    3569class GT(Binary, Predicate):
-3570    pass
+            
    3574class GT(Binary, Predicate):
+3575    pass
 
    
 
 
@@ -31753,8 +31881,8 @@ If an Expression instance is passed, it w
    - 
    3573class GTE(Binary, Predicate):
-3574    pass
+            
    3578class GTE(Binary, Predicate):
+3579    pass
 
    
 
 
@@ -31833,8 +31961,8 @@ If an Expression instance is passed, it w
    - 
    3577class ILike(Binary, Predicate):
-3578    pass
+            
    3582class ILike(Binary, Predicate):
+3583    pass
 
    
 
 
@@ -31913,8 +32041,8 @@ If an Expression instance is passed, it w
    - 
    3581class ILikeAny(Binary, Predicate):
-3582    pass
+            
    3586class ILikeAny(Binary, Predicate):
+3587    pass
 
    
 
 
@@ -31993,8 +32121,8 @@ If an Expression instance is passed, it w
    - 
    3585class IntDiv(Binary):
-3586    pass
+            
    3590class IntDiv(Binary):
+3591    pass
 
    
 
 
@@ -32073,8 +32201,8 @@ If an Expression instance is passed, it w
    - 
    3589class Is(Binary, Predicate):
-3590    pass
+            
    3594class Is(Binary, Predicate):
+3595    pass
 
    
 
 
@@ -32153,8 +32281,8 @@ If an Expression instance is passed, it w
    - 
    3593class Kwarg(Binary):
-3594    """Kwarg in special functions like func(kwarg => y)."""
+            
    3598class Kwarg(Binary):
+3599    """Kwarg in special functions like func(kwarg => y)."""
 
    
 
 
@@ -32235,8 +32363,8 @@ If an Expression instance is passed, it w
    - 
    3597class Like(Binary, Predicate):
-3598    pass
+            
    3602class Like(Binary, Predicate):
+3603    pass
 
    
 
 
@@ -32315,8 +32443,8 @@ If an Expression instance is passed, it w
    - 
    3601class LikeAny(Binary, Predicate):
-3602    pass
+            
    3606class LikeAny(Binary, Predicate):
+3607    pass
 
    
 
 
@@ -32395,8 +32523,8 @@ If an Expression instance is passed, it w
    - 
    3605class LT(Binary, Predicate):
-3606    pass
+            
    3610class LT(Binary, Predicate):
+3611    pass
 
    
 
 
@@ -32475,8 +32603,8 @@ If an Expression instance is passed, it w
    - 
    3609class LTE(Binary, Predicate):
-3610    pass
+            
    3614class LTE(Binary, Predicate):
+3615    pass
 
    
 
 
@@ -32555,8 +32683,8 @@ If an Expression instance is passed, it w
    - 
    3613class Mod(Binary):
-3614    pass
+            
    3618class Mod(Binary):
+3619    pass
 
    
 
 
@@ -32635,8 +32763,8 @@ If an Expression instance is passed, it w
    - 
    3617class Mul(Binary):
-3618    pass
+            
    3622class Mul(Binary):
+3623    pass
 
    
 
 
@@ -32715,8 +32843,8 @@ If an Expression instance is passed, it w
    - 
    3621class NEQ(Binary, Predicate):
-3622    pass
+            
    3626class NEQ(Binary, Predicate):
+3627    pass
 
    
 
 
@@ -32795,8 +32923,8 @@ If an Expression instance is passed, it w
    - 
    3625class SimilarTo(Binary, Predicate):
-3626    pass
+            
    3630class SimilarTo(Binary, Predicate):
+3631    pass
 
    
 
 
@@ -32875,8 +33003,8 @@ If an Expression instance is passed, it w
    - 
    3629class Slice(Binary):
-3630    arg_types = {"this": False, "expression": False}
+            
    3634class Slice(Binary):
+3635    arg_types = {"this": False, "expression": False}
 
    
 
 
@@ -32955,8 +33083,8 @@ If an Expression instance is passed, it w
    - 
    3633class Sub(Binary):
-3634    pass
+            
    3638class Sub(Binary):
+3639    pass
 
    
 
 
@@ -33035,8 +33163,8 @@ If an Expression instance is passed, it w
    - 
    3637class ArrayOverlaps(Binary):
-3638    pass
+            
    3642class ArrayOverlaps(Binary):
+3643    pass
 
    
 
 
@@ -33115,8 +33243,8 @@ If an Expression instance is passed, it w
    - 
    3643class Unary(Condition):
-3644    pass
+            
    3648class Unary(Condition):
+3649    pass
 
    
 
 
@@ -33195,8 +33323,8 @@ If an Expression instance is passed, it w
    - 
    3647class BitwiseNot(Unary):
-3648    pass
+            
    3652class BitwiseNot(Unary):
+3653    pass
 
    
 
 
@@ -33275,8 +33403,8 @@ If an Expression instance is passed, it w
    - 
    3651class Not(Unary):
-3652    pass
+            
    3656class Not(Unary):
+3657    pass
 
    
 
 
@@ -33355,12 +33483,12 @@ If an Expression instance is passed, it w
    - 
    3655class Paren(Unary):
-3656    arg_types = {"this": True, "with": False}
-3657
-3658    @property
-3659    def output_name(self) -> str:
-3660        return self.this.name
+            
    3660class Paren(Unary):
+3661    arg_types = {"this": True, "with": False}
+3662
+3663    @property
+3664    def output_name(self) -> str:
+3665        return self.this.name
 
    
 
 
@@ -33468,8 +33596,8 @@ If an Expression instance is passed, it w
    - 
    3663class Neg(Unary):
-3664    pass
+            
    3668class Neg(Unary):
+3669    pass
 
    
 
 
@@ -33548,12 +33676,12 @@ If an Expression instance is passed, it w
    - 
    3667class Alias(Expression):
-3668    arg_types = {"this": True, "alias": False}
-3669
-3670    @property
-3671    def output_name(self) -> str:
-3672        return self.alias
+            
    3672class Alias(Expression):
+3673    arg_types = {"this": True, "alias": False}
+3674
+3675    @property
+3676    def output_name(self) -> str:
+3677        return self.alias
 
    
 
 
@@ -33646,12 +33774,12 @@ If an Expression instance is passed, it w
    - 
    3675class Aliases(Expression):
-3676    arg_types = {"this": True, "expressions": True}
-3677
-3678    @property
-3679    def aliases(self):
-3680        return self.expressions
+            
    3680class Aliases(Expression):
+3681    arg_types = {"this": True, "expressions": True}
+3682
+3683    @property
+3684    def aliases(self):
+3685        return self.expressions
 
    
 
 
@@ -33715,8 +33843,8 @@ If an Expression instance is passed, it w
    - 
    3683class AtTimeZone(Expression):
-3684    arg_types = {"this": True, "zone": True}
+            
    3688class AtTimeZone(Expression):
+3689    arg_types = {"this": True, "zone": True}
 
    
 
 
@@ -33780,8 +33908,8 @@ If an Expression instance is passed, it w
    - 
    3687class Between(Predicate):
-3688    arg_types = {"this": True, "low": True, "high": True}
+            
    3692class Between(Predicate):
+3693    arg_types = {"this": True, "low": True, "high": True}
 
    
 
 
@@ -33860,8 +33988,8 @@ If an Expression instance is passed, it w
    - 
    3691class Bracket(Condition):
-3692    arg_types = {"this": True, "expressions": True}
+            
    3696class Bracket(Condition):
+3697    arg_types = {"this": True, "expressions": True}
 
    
 
 
@@ -33940,8 +34068,8 @@ If an Expression instance is passed, it w
    - 
    3695class Distinct(Expression):
-3696    arg_types = {"expressions": False, "on": False}
+            
    3700class Distinct(Expression):
+3701    arg_types = {"expressions": False, "on": False}
 
    
 
 
@@ -34005,15 +34133,15 @@ If an Expression instance is passed, it w
    - 
    3699class In(Predicate):
-3700    arg_types = {
-3701        "this": True,
-3702        "expressions": False,
-3703        "query": False,
-3704        "unnest": False,
-3705        "field": False,
-3706        "is_global": False,
-3707    }
+            
    3704class In(Predicate):
+3705    arg_types = {
+3706        "this": True,
+3707        "expressions": False,
+3708        "query": False,
+3709        "unnest": False,
+3710        "field": False,
+3711        "is_global": False,
+3712    }
 
    
 
 
@@ -34092,19 +34220,19 @@ If an Expression instance is passed, it w
    - 
    3710class TimeUnit(Expression):
-3711    """Automatically converts unit arg into a var."""
-3712
-3713    arg_types = {"unit": False}
-3714
-3715    def __init__(self, **args):
-3716        unit = args.get("unit")
-3717        if isinstance(unit, (Column, Literal)):
-3718            args["unit"] = Var(this=unit.name)
-3719        elif isinstance(unit, Week):
-3720            unit.set("this", Var(this=unit.this.name))
-3721
-3722        super().__init__(**args)
+            
    3715class TimeUnit(Expression):
+3716    """Automatically converts unit arg into a var."""
+3717
+3718    arg_types = {"unit": False}
+3719
+3720    def __init__(self, **args):
+3721        unit = args.get("unit")
+3722        if isinstance(unit, (Column, Literal)):
+3723            args["unit"] = Var(this=unit.name)
+3724        elif isinstance(unit, Week):
+3725            unit.set("this", Var(this=unit.this.name))
+3726
+3727        super().__init__(**args)
 
    
 
 
@@ -34122,14 +34250,14 @@ If an Expression instance is passed, it w
    - 
    3715    def __init__(self, **args):
-3716        unit = args.get("unit")
-3717        if isinstance(unit, (Column, Literal)):
-3718            args["unit"] = Var(this=unit.name)
-3719        elif isinstance(unit, Week):
-3720            unit.set("this", Var(this=unit.this.name))
-3721
-3722        super().__init__(**args)
+            
    3720    def __init__(self, **args):
+3721        unit = args.get("unit")
+3722        if isinstance(unit, (Column, Literal)):
+3723            args["unit"] = Var(this=unit.name)
+3724        elif isinstance(unit, Week):
+3725            unit.set("this", Var(this=unit.this.name))
+3726
+3727        super().__init__(**args)
 
    
 
 
@@ -34193,12 +34321,12 @@ If an Expression instance is passed, it w
    - 
    3725class Interval(TimeUnit):
-3726    arg_types = {"this": False, "unit": False}
-3727
-3728    @property
-3729    def unit(self) -> t.Optional[Var]:
-3730        return self.args.get("unit")
+            
    3730class Interval(TimeUnit):
+3731    arg_types = {"this": False, "unit": False}
+3732
+3733    @property
+3734    def unit(self) -> t.Optional[Var]:
+3735        return self.args.get("unit")
 
    
 
 
@@ -34265,8 +34393,8 @@ If an Expression instance is passed, it w
    - 
    3733class IgnoreNulls(Expression):
-3734    pass
+            
    3738class IgnoreNulls(Expression):
+3739    pass
 
    
 
 
@@ -34330,8 +34458,8 @@ If an Expression instance is passed, it w
    - 
    3737class RespectNulls(Expression):
-3738    pass
+            
    3742class RespectNulls(Expression):
+3743    pass
 
    
 
 
@@ -34395,53 +34523,53 @@ If an Expression instance is passed, it w
    - 
    3742class Func(Condition):
-3743    """
-3744    The base class for all function expressions.
-3745
-3746    Attributes:
-3747        is_var_len_args (bool): if set to True the last argument defined in arg_types will be
-3748            treated as a variable length argument and the argument's value will be stored as a list.
-3749        _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)
-3750            for this function expression. These values are used to map this node to a name during parsing
-3751            as well as to provide the function's name during SQL string generation. By default the SQL
-3752            name is set to the expression's class name transformed to snake case.
-3753    """
-3754
-3755    is_var_len_args = False
-3756
-3757    @classmethod
-3758    def from_arg_list(cls, args):
-3759        if cls.is_var_len_args:
-3760            all_arg_keys = list(cls.arg_types)
-3761            # If this function supports variable length argument treat the last argument as such.
-3762            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
-3763            num_non_var = len(non_var_len_arg_keys)
-3764
-3765            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
-3766            args_dict[all_arg_keys[-1]] = args[num_non_var:]
-3767        else:
-3768            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
+            
    3747class Func(Condition):
+3748    """
+3749    The base class for all function expressions.
+3750
+3751    Attributes:
+3752        is_var_len_args (bool): if set to True the last argument defined in arg_types will be
+3753            treated as a variable length argument and the argument's value will be stored as a list.
+3754        _sql_names (list): determines the SQL name (1st item in the list) and aliases (subsequent items)
+3755            for this function expression. These values are used to map this node to a name during parsing
+3756            as well as to provide the function's name during SQL string generation. By default the SQL
+3757            name is set to the expression's class name transformed to snake case.
+3758    """
+3759
+3760    is_var_len_args = False
+3761
+3762    @classmethod
+3763    def from_arg_list(cls, args):
+3764        if cls.is_var_len_args:
+3765            all_arg_keys = list(cls.arg_types)
+3766            # If this function supports variable length argument treat the last argument as such.
+3767            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
+3768            num_non_var = len(non_var_len_arg_keys)
 3769
-3770        return cls(**args_dict)
-3771
-3772    @classmethod
-3773    def sql_names(cls):
-3774        if cls is Func:
-3775            raise NotImplementedError(
-3776                "SQL name is only supported by concrete function implementations"
-3777            )
-3778        if "_sql_names" not in cls.__dict__:
-3779            cls._sql_names = [camel_to_snake_case(cls.__name__)]
-3780        return cls._sql_names
-3781
-3782    @classmethod
-3783    def sql_name(cls):
-3784        return cls.sql_names()[0]
-3785
-3786    @classmethod
-3787    def default_parser_mappings(cls):
-3788        return {name: cls.from_arg_list for name in cls.sql_names()}
+3770            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
+3771            args_dict[all_arg_keys[-1]] = args[num_non_var:]
+3772        else:
+3773            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
+3774
+3775        return cls(**args_dict)
+3776
+3777    @classmethod
+3778    def sql_names(cls):
+3779        if cls is Func:
+3780            raise NotImplementedError(
+3781                "SQL name is only supported by concrete function implementations"
+3782            )
+3783        if "_sql_names" not in cls.__dict__:
+3784            cls._sql_names = [camel_to_snake_case(cls.__name__)]
+3785        return cls._sql_names
+3786
+3787    @classmethod
+3788    def sql_name(cls):
+3789        return cls.sql_names()[0]
+3790
+3791    @classmethod
+3792    def default_parser_mappings(cls):
+3793        return {name: cls.from_arg_list for name in cls.sql_names()}
 
    
 
 
@@ -34472,20 +34600,20 @@ name is set to the expression's class name transformed to snake case.
    - 
    3757    @classmethod
-3758    def from_arg_list(cls, args):
-3759        if cls.is_var_len_args:
-3760            all_arg_keys = list(cls.arg_types)
-3761            # If this function supports variable length argument treat the last argument as such.
-3762            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
-3763            num_non_var = len(non_var_len_arg_keys)
-3764
-3765            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
-3766            args_dict[all_arg_keys[-1]] = args[num_non_var:]
-3767        else:
-3768            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
+            
    3762    @classmethod
+3763    def from_arg_list(cls, args):
+3764        if cls.is_var_len_args:
+3765            all_arg_keys = list(cls.arg_types)
+3766            # If this function supports variable length argument treat the last argument as such.
+3767            non_var_len_arg_keys = all_arg_keys[:-1] if cls.is_var_len_args else all_arg_keys
+3768            num_non_var = len(non_var_len_arg_keys)
 3769
-3770        return cls(**args_dict)
+3770            args_dict = {arg_key: arg for arg, arg_key in zip(args, non_var_len_arg_keys)}
+3771            args_dict[all_arg_keys[-1]] = args[num_non_var:]
+3772        else:
+3773            args_dict = {arg_key: arg for arg, arg_key in zip(args, cls.arg_types)}
+3774
+3775        return cls(**args_dict)
 
    
 
 
@@ -34504,15 +34632,15 @@ name is set to the expression's class name transformed to snake case.
    - 
    3772    @classmethod
-3773    def sql_names(cls):
-3774        if cls is Func:
-3775            raise NotImplementedError(
-3776                "SQL name is only supported by concrete function implementations"
-3777            )
-3778        if "_sql_names" not in cls.__dict__:
-3779            cls._sql_names = [camel_to_snake_case(cls.__name__)]
-3780        return cls._sql_names
+            
    3777    @classmethod
+3778    def sql_names(cls):
+3779        if cls is Func:
+3780            raise NotImplementedError(
+3781                "SQL name is only supported by concrete function implementations"
+3782            )
+3783        if "_sql_names" not in cls.__dict__:
+3784            cls._sql_names = [camel_to_snake_case(cls.__name__)]
+3785        return cls._sql_names
 
    
 
 
@@ -34531,9 +34659,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3782    @classmethod
-3783    def sql_name(cls):
-3784        return cls.sql_names()[0]
+            
    3787    @classmethod
+3788    def sql_name(cls):
+3789        return cls.sql_names()[0]
 
    
 
 
@@ -34552,9 +34680,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3786    @classmethod
-3787    def default_parser_mappings(cls):
-3788        return {name: cls.from_arg_list for name in cls.sql_names()}
+            
    3791    @classmethod
+3792    def default_parser_mappings(cls):
+3793        return {name: cls.from_arg_list for name in cls.sql_names()}
 
    
 
 
@@ -34634,8 +34762,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3791class AggFunc(Func):
-3792    pass
+            
    3796class AggFunc(Func):
+3797    pass
 
    
 
 
@@ -34721,8 +34849,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3795class ParameterizedAgg(AggFunc):
-3796    arg_types = {"this": True, "expressions": True, "params": True}
+            
    3800class ParameterizedAgg(AggFunc):
+3801    arg_types = {"this": True, "expressions": True, "params": True}
 
    
 
 
@@ -34808,8 +34936,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3799class Abs(Func):
-3800    pass
+            
    3804class Abs(Func):
+3805    pass
 
    
 
 
@@ -34895,9 +35023,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3803class Anonymous(Func):
-3804    arg_types = {"this": True, "expressions": False}
-3805    is_var_len_args = True
+            
    3808class Anonymous(Func):
+3809    arg_types = {"this": True, "expressions": False}
+3810    is_var_len_args = True
 
    
 
 
@@ -34983,9 +35111,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3810class Hll(AggFunc):
-3811    arg_types = {"this": True, "expressions": False}
-3812    is_var_len_args = True
+            
    3815class Hll(AggFunc):
+3816    arg_types = {"this": True, "expressions": False}
+3817    is_var_len_args = True
 
    
 
 
@@ -35071,9 +35199,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3815class ApproxDistinct(AggFunc):
-3816    arg_types = {"this": True, "accuracy": False}
-3817    _sql_names = ["APPROX_DISTINCT", "APPROX_COUNT_DISTINCT"]
+            
    3820class ApproxDistinct(AggFunc):
+3821    arg_types = {"this": True, "accuracy": False}
+3822    _sql_names = ["APPROX_DISTINCT", "APPROX_COUNT_DISTINCT"]
 
    
 
 
@@ -35159,9 +35287,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3820class Array(Func):
-3821    arg_types = {"expressions": False}
-3822    is_var_len_args = True
+            
    3825class Array(Func):
+3826    arg_types = {"expressions": False}
+3827    is_var_len_args = True
 
    
 
 
@@ -35247,8 +35375,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3826class ToChar(Func):
-3827    arg_types = {"this": True, "format": False}
+            
    3831class ToChar(Func):
+3832    arg_types = {"this": True, "format": False}
 
    
 
 
@@ -35334,8 +35462,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3830class GenerateSeries(Func):
-3831    arg_types = {"start": True, "end": True, "step": False}
+            
    3835class GenerateSeries(Func):
+3836    arg_types = {"start": True, "end": True, "step": False}
 
    
 
 
@@ -35421,8 +35549,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3834class ArrayAgg(AggFunc):
-3835    pass
+            
    3839class ArrayAgg(AggFunc):
+3840    pass
 
    
 
 
@@ -35508,8 +35636,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3838class ArrayAll(Func):
-3839    arg_types = {"this": True, "expression": True}
+            
    3843class ArrayAll(Func):
+3844    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -35595,8 +35723,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3842class ArrayAny(Func):
-3843    arg_types = {"this": True, "expression": True}
+            
    3847class ArrayAny(Func):
+3848    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -35682,9 +35810,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3846class ArrayConcat(Func):
-3847    arg_types = {"this": True, "expressions": False}
-3848    is_var_len_args = True
+            
    3851class ArrayConcat(Func):
+3852    arg_types = {"this": True, "expressions": False}
+3853    is_var_len_args = True
 
    
 
 
@@ -35770,8 +35898,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3851class ArrayContains(Binary, Func):
-3852    pass
+            
    3856class ArrayContains(Binary, Func):
+3857    pass
 
    
 
 
@@ -35857,8 +35985,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3855class ArrayContained(Binary):
-3856    pass
+            
    3860class ArrayContained(Binary):
+3861    pass
 
    
 
 
@@ -35937,9 +36065,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3859class ArrayFilter(Func):
-3860    arg_types = {"this": True, "expression": True}
-3861    _sql_names = ["FILTER", "ARRAY_FILTER"]
+            
    3864class ArrayFilter(Func):
+3865    arg_types = {"this": True, "expression": True}
+3866    _sql_names = ["FILTER", "ARRAY_FILTER"]
 
    
 
 
@@ -36025,8 +36153,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3864class ArrayJoin(Func):
-3865    arg_types = {"this": True, "expression": True, "null": False}
+            
    3869class ArrayJoin(Func):
+3870    arg_types = {"this": True, "expression": True, "null": False}
 
    
 
 
@@ -36112,8 +36240,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3868class ArraySize(Func):
-3869    arg_types = {"this": True, "expression": False}
+            
    3873class ArraySize(Func):
+3874    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -36199,8 +36327,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3872class ArraySort(Func):
-3873    arg_types = {"this": True, "expression": False}
+            
    3877class ArraySort(Func):
+3878    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -36286,8 +36414,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3876class ArraySum(Func):
-3877    pass
+            
    3881class ArraySum(Func):
+3882    pass
 
    
 
 
@@ -36373,8 +36501,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3880class ArrayUnionAgg(AggFunc):
-3881    pass
+            
    3885class ArrayUnionAgg(AggFunc):
+3886    pass
 
    
 
 
@@ -36460,8 +36588,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3884class Avg(AggFunc):
-3885    pass
+            
    3889class Avg(AggFunc):
+3890    pass
 
    
 
 
@@ -36547,8 +36675,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3888class AnyValue(AggFunc):
-3889    pass
+            
    3893class AnyValue(AggFunc):
+3894    pass
 
    
 
 
@@ -36634,24 +36762,24 @@ name is set to the expression's class name transformed to snake case.
    - 
    3892class Case(Func):
-3893    arg_types = {"this": False, "ifs": True, "default": False}
-3894
-3895    def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case:
-3896        instance = _maybe_copy(self, copy)
-3897        instance.append(
-3898            "ifs",
-3899            If(
-3900                this=maybe_parse(condition, copy=copy, **opts),
-3901                true=maybe_parse(then, copy=copy, **opts),
-3902            ),
-3903        )
-3904        return instance
-3905
-3906    def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case:
-3907        instance = _maybe_copy(self, copy)
-3908        instance.set("default", maybe_parse(condition, copy=copy, **opts))
+            
    3897class Case(Func):
+3898    arg_types = {"this": False, "ifs": True, "default": False}
+3899
+3900    def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case:
+3901        instance = _maybe_copy(self, copy)
+3902        instance.append(
+3903            "ifs",
+3904            If(
+3905                this=maybe_parse(condition, copy=copy, **opts),
+3906                true=maybe_parse(then, copy=copy, **opts),
+3907            ),
+3908        )
 3909        return instance
+3910
+3911    def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case:
+3912        instance = _maybe_copy(self, copy)
+3913        instance.set("default", maybe_parse(condition, copy=copy, **opts))
+3914        return instance
 
    
 
 
@@ -36668,16 +36796,16 @@ name is set to the expression's class name transformed to snake case.
    - 
    3895    def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case:
-3896        instance = _maybe_copy(self, copy)
-3897        instance.append(
-3898            "ifs",
-3899            If(
-3900                this=maybe_parse(condition, copy=copy, **opts),
-3901                true=maybe_parse(then, copy=copy, **opts),
-3902            ),
-3903        )
-3904        return instance
+            
    3900    def when(self, condition: ExpOrStr, then: ExpOrStr, copy: bool = True, **opts) -> Case:
+3901        instance = _maybe_copy(self, copy)
+3902        instance.append(
+3903            "ifs",
+3904            If(
+3905                this=maybe_parse(condition, copy=copy, **opts),
+3906                true=maybe_parse(then, copy=copy, **opts),
+3907            ),
+3908        )
+3909        return instance
 
    
 
 
@@ -36695,10 +36823,10 @@ name is set to the expression's class name transformed to snake case.
    - 
    3906    def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case:
-3907        instance = _maybe_copy(self, copy)
-3908        instance.set("default", maybe_parse(condition, copy=copy, **opts))
-3909        return instance
+            
    3911    def else_(self, condition: ExpOrStr, copy: bool = True, **opts) -> Case:
+3912        instance = _maybe_copy(self, copy)
+3913        instance.set("default", maybe_parse(condition, copy=copy, **opts))
+3914        return instance
 
    
 
 
@@ -36785,23 +36913,23 @@ name is set to the expression's class name transformed to snake case.
    - 
    3912class Cast(Func):
-3913    arg_types = {"this": True, "to": True}
-3914
-3915    @property
-3916    def name(self) -> str:
-3917        return self.this.name
-3918
-3919    @property
-3920    def to(self) -> DataType:
-3921        return self.args["to"]
-3922
-3923    @property
-3924    def output_name(self) -> str:
-3925        return self.name
-3926
-3927    def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool:
-3928        return self.to.is_type(*dtypes)
+            
    3917class Cast(Func):
+3918    arg_types = {"this": True, "to": True}
+3919
+3920    @property
+3921    def name(self) -> str:
+3922        return self.this.name
+3923
+3924    @property
+3925    def to(self) -> DataType:
+3926        return self.args["to"]
+3927
+3928    @property
+3929    def output_name(self) -> str:
+3930        return self.name
+3931
+3932    def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool:
+3933        return self.to.is_type(*dtypes)
 
    
 
 
@@ -36848,8 +36976,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3927    def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool:
-3928        return self.to.is_type(*dtypes)
+            
    3932    def is_type(self, *dtypes: str | DataType | DataType.Type) -> bool:
+3933        return self.to.is_type(*dtypes)
 
    
 
 
@@ -36935,8 +37063,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3931class CastToStrType(Func):
-3932    arg_types = {"this": True, "expression": True}
+            
    3936class CastToStrType(Func):
+3937    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -37022,8 +37150,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3935class Collate(Binary):
-3936    pass
+            
    3940class Collate(Binary):
+3941    pass
 
    
 
 
@@ -37102,8 +37230,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3939class TryCast(Cast):
-3940    pass
+            
    3944class TryCast(Cast):
+3945    pass
 
    
 
 
@@ -37193,9 +37321,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3943class Ceil(Func):
-3944    arg_types = {"this": True, "decimals": False}
-3945    _sql_names = ["CEIL", "CEILING"]
+            
    3948class Ceil(Func):
+3949    arg_types = {"this": True, "decimals": False}
+3950    _sql_names = ["CEIL", "CEILING"]
 
    
 
 
@@ -37281,10 +37409,10 @@ name is set to the expression's class name transformed to snake case.
    - 
    3948class Coalesce(Func):
-3949    arg_types = {"this": True, "expressions": False}
-3950    is_var_len_args = True
-3951    _sql_names = ["COALESCE", "IFNULL", "NVL"]
+            
    3953class Coalesce(Func):
+3954    arg_types = {"this": True, "expressions": False}
+3955    is_var_len_args = True
+3956    _sql_names = ["COALESCE", "IFNULL", "NVL"]
 
    
 
 
@@ -37370,9 +37498,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3954class Concat(Func):
-3955    arg_types = {"expressions": True}
-3956    is_var_len_args = True
+            
    3959class Concat(Func):
+3960    arg_types = {"expressions": True}
+3961    is_var_len_args = True
 
    
 
 
@@ -37458,8 +37586,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3959class SafeConcat(Concat):
-3960    pass
+            
    3964class SafeConcat(Concat):
+3965    pass
 
    
 
 
@@ -37545,8 +37673,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3963class ConcatWs(Concat):
-3964    _sql_names = ["CONCAT_WS"]
+            
    3968class ConcatWs(Concat):
+3969    _sql_names = ["CONCAT_WS"]
 
    
 
 
@@ -37632,9 +37760,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    3967class Count(AggFunc):
-3968    arg_types = {"this": False, "expressions": False}
-3969    is_var_len_args = True
+            
    3972class Count(AggFunc):
+3973    arg_types = {"this": False, "expressions": False}
+3974    is_var_len_args = True
 
    
 
 
@@ -37720,8 +37848,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3972class CountIf(AggFunc):
-3973    pass
+            
    3977class CountIf(AggFunc):
+3978    pass
 
    
 
 
@@ -37807,8 +37935,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3976class CurrentDate(Func):
-3977    arg_types = {"this": False}
+            
    3981class CurrentDate(Func):
+3982    arg_types = {"this": False}
 
    
 
 
@@ -37894,8 +38022,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3980class CurrentDatetime(Func):
-3981    arg_types = {"this": False}
+            
    3985class CurrentDatetime(Func):
+3986    arg_types = {"this": False}
 
    
 
 
@@ -37981,8 +38109,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3984class CurrentTime(Func):
-3985    arg_types = {"this": False}
+            
    3989class CurrentTime(Func):
+3990    arg_types = {"this": False}
 
    
 
 
@@ -38068,8 +38196,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3988class CurrentTimestamp(Func):
-3989    arg_types = {"this": False}
+            
    3993class CurrentTimestamp(Func):
+3994    arg_types = {"this": False}
 
    
 
 
@@ -38155,8 +38283,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3992class CurrentUser(Func):
-3993    arg_types = {"this": False}
+            
    3997class CurrentUser(Func):
+3998    arg_types = {"this": False}
 
    
 
 
@@ -38242,8 +38370,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    3996class DateAdd(Func, TimeUnit):
-3997    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4001class DateAdd(Func, TimeUnit):
+4002    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38332,8 +38460,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4000class DateSub(Func, TimeUnit):
-4001    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4005class DateSub(Func, TimeUnit):
+4006    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38422,9 +38550,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    4004class DateDiff(Func, TimeUnit):
-4005    _sql_names = ["DATEDIFF", "DATE_DIFF"]
-4006    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4009class DateDiff(Func, TimeUnit):
+4010    _sql_names = ["DATEDIFF", "DATE_DIFF"]
+4011    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38513,8 +38641,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4009class DateTrunc(Func):
-4010    arg_types = {"unit": True, "this": True, "zone": False}
+            
    4014class DateTrunc(Func):
+4015    arg_types = {"unit": True, "this": True, "zone": False}
 
    
 
 
@@ -38600,8 +38728,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4013class DatetimeAdd(Func, TimeUnit):
-4014    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4018class DatetimeAdd(Func, TimeUnit):
+4019    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38690,8 +38818,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4017class DatetimeSub(Func, TimeUnit):
-4018    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4022class DatetimeSub(Func, TimeUnit):
+4023    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38780,8 +38908,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4021class DatetimeDiff(Func, TimeUnit):
-4022    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4026class DatetimeDiff(Func, TimeUnit):
+4027    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -38870,8 +38998,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4025class DatetimeTrunc(Func, TimeUnit):
-4026    arg_types = {"this": True, "unit": True, "zone": False}
+            
    4030class DatetimeTrunc(Func, TimeUnit):
+4031    arg_types = {"this": True, "unit": True, "zone": False}
 
    
 
 
@@ -38960,8 +39088,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4029class DayOfWeek(Func):
-4030    _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"]
+            
    4034class DayOfWeek(Func):
+4035    _sql_names = ["DAY_OF_WEEK", "DAYOFWEEK"]
 
    
 
 
@@ -39047,8 +39175,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4033class DayOfMonth(Func):
-4034    _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"]
+            
    4038class DayOfMonth(Func):
+4039    _sql_names = ["DAY_OF_MONTH", "DAYOFMONTH"]
 
    
 
 
@@ -39134,8 +39262,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4037class DayOfYear(Func):
-4038    _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"]
+            
    4042class DayOfYear(Func):
+4043    _sql_names = ["DAY_OF_YEAR", "DAYOFYEAR"]
 
    
 
 
@@ -39221,8 +39349,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4041class WeekOfYear(Func):
-4042    _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"]
+            
    4046class WeekOfYear(Func):
+4047    _sql_names = ["WEEK_OF_YEAR", "WEEKOFYEAR"]
 
    
 
 
@@ -39308,8 +39436,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4045class LastDateOfMonth(Func):
-4046    pass
+            
    4050class LastDateOfMonth(Func):
+4051    pass
 
    
 
 
@@ -39395,8 +39523,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4049class Extract(Func):
-4050    arg_types = {"this": True, "expression": True}
+            
    4054class Extract(Func):
+4055    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -39482,8 +39610,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4053class TimestampAdd(Func, TimeUnit):
-4054    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4058class TimestampAdd(Func, TimeUnit):
+4059    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -39572,8 +39700,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4057class TimestampSub(Func, TimeUnit):
-4058    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4062class TimestampSub(Func, TimeUnit):
+4063    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -39662,8 +39790,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4061class TimestampDiff(Func, TimeUnit):
-4062    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4066class TimestampDiff(Func, TimeUnit):
+4067    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -39752,8 +39880,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4065class TimestampTrunc(Func, TimeUnit):
-4066    arg_types = {"this": True, "unit": True, "zone": False}
+            
    4070class TimestampTrunc(Func, TimeUnit):
+4071    arg_types = {"this": True, "unit": True, "zone": False}
 
    
 
 
@@ -39842,8 +39970,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4069class TimeAdd(Func, TimeUnit):
-4070    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4074class TimeAdd(Func, TimeUnit):
+4075    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -39932,8 +40060,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4073class TimeSub(Func, TimeUnit):
-4074    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4078class TimeSub(Func, TimeUnit):
+4079    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -40022,8 +40150,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4077class TimeDiff(Func, TimeUnit):
-4078    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4082class TimeDiff(Func, TimeUnit):
+4083    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -40112,8 +40240,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4081class TimeTrunc(Func, TimeUnit):
-4082    arg_types = {"this": True, "unit": True, "zone": False}
+            
    4086class TimeTrunc(Func, TimeUnit):
+4087    arg_types = {"this": True, "unit": True, "zone": False}
 
    
 
 
@@ -40202,9 +40330,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    4085class DateFromParts(Func):
-4086    _sql_names = ["DATEFROMPARTS"]
-4087    arg_types = {"year": True, "month": True, "day": True}
+            
    4090class DateFromParts(Func):
+4091    _sql_names = ["DATEFROMPARTS"]
+4092    arg_types = {"year": True, "month": True, "day": True}
 
    
 
 
@@ -40290,8 +40418,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4090class DateStrToDate(Func):
-4091    pass
+            
    4095class DateStrToDate(Func):
+4096    pass
 
    
 
 
@@ -40377,8 +40505,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4094class DateToDateStr(Func):
-4095    pass
+            
    4099class DateToDateStr(Func):
+4100    pass
 
    
 
 
@@ -40464,8 +40592,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4098class DateToDi(Func):
-4099    pass
+            
    4103class DateToDi(Func):
+4104    pass
 
    
 
 
@@ -40551,9 +40679,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    4102class Date(Func):
-4103    arg_types = {"expressions": True}
-4104    is_var_len_args = True
+            
    4107class Date(Func):
+4108    arg_types = {"expressions": True}
+4109    is_var_len_args = True
 
    
 
 
@@ -40639,8 +40767,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4107class Day(Func):
-4108    pass
+            
    4112class Day(Func):
+4113    pass
 
    
 
 
@@ -40726,8 +40854,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4111class Decode(Func):
-4112    arg_types = {"this": True, "charset": True, "replace": False}
+            
    4116class Decode(Func):
+4117    arg_types = {"this": True, "charset": True, "replace": False}
 
    
 
 
@@ -40813,8 +40941,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4115class DiToDate(Func):
-4116    pass
+            
    4120class DiToDate(Func):
+4121    pass
 
    
 
 
@@ -40900,8 +41028,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4119class Encode(Func):
-4120    arg_types = {"this": True, "charset": True}
+            
    4124class Encode(Func):
+4125    arg_types = {"this": True, "charset": True}
 
    
 
 
@@ -40987,8 +41115,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4123class Exp(Func):
-4124    pass
+            
    4128class Exp(Func):
+4129    pass
 
    
 
 
@@ -41074,8 +41202,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4127class Explode(Func):
-4128    pass
+            
    4132class Explode(Func):
+4133    pass
 
    
 
 
@@ -41161,8 +41289,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4131class Floor(Func):
-4132    arg_types = {"this": True, "decimals": False}
+            
    4136class Floor(Func):
+4137    arg_types = {"this": True, "decimals": False}
 
    
 
 
@@ -41248,8 +41376,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4135class FromBase64(Func):
-4136    pass
+            
    4140class FromBase64(Func):
+4141    pass
 
    
 
 
@@ -41335,8 +41463,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4139class ToBase64(Func):
-4140    pass
+            
    4144class ToBase64(Func):
+4145    pass
 
    
 
 
@@ -41422,9 +41550,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    4143class Greatest(Func):
-4144    arg_types = {"this": True, "expressions": False}
-4145    is_var_len_args = True
+            
    4148class Greatest(Func):
+4149    arg_types = {"this": True, "expressions": False}
+4150    is_var_len_args = True
 
    
 
 
@@ -41510,8 +41638,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4148class GroupConcat(Func):
-4149    arg_types = {"this": True, "separator": False}
+            
    4153class GroupConcat(Func):
+4154    arg_types = {"this": True, "separator": False}
 
    
 
 
@@ -41597,8 +41725,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4152class Hex(Func):
-4153    pass
+            
    4157class Hex(Func):
+4158    pass
 
    
 
 
@@ -41684,8 +41812,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4156class If(Func):
-4157    arg_types = {"this": True, "true": True, "false": False}
+            
    4161class If(Func):
+4162    arg_types = {"this": True, "true": True, "false": False}
 
    
 
 
@@ -41771,8 +41899,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4160class Initcap(Func):
-4161    arg_types = {"this": True, "expression": False}
+            
    4165class Initcap(Func):
+4166    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -41858,8 +41986,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4164class JSONKeyValue(Expression):
-4165    arg_types = {"this": True, "expression": True}
+            
    4169class JSONKeyValue(Expression):
+4170    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -41923,15 +42051,15 @@ name is set to the expression's class name transformed to snake case.
    - 
    4168class JSONObject(Func):
-4169    arg_types = {
-4170        "expressions": False,
-4171        "null_handling": False,
-4172        "unique_keys": False,
-4173        "return_type": False,
-4174        "format_json": False,
-4175        "encoding": False,
-4176    }
+            
    4173class JSONObject(Func):
+4174    arg_types = {
+4175        "expressions": False,
+4176        "null_handling": False,
+4177        "unique_keys": False,
+4178        "return_type": False,
+4179        "format_json": False,
+4180        "encoding": False,
+4181    }
 
    
 
 
@@ -42017,8 +42145,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4179class OpenJSONColumnDef(Expression):
-4180    arg_types = {"this": True, "kind": True, "path": False, "as_json": False}
+            
    4184class OpenJSONColumnDef(Expression):
+4185    arg_types = {"this": True, "kind": True, "path": False, "as_json": False}
 
    
 
 
@@ -42082,8 +42210,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4183class OpenJSON(Func):
-4184    arg_types = {"this": True, "path": False, "expressions": False}
+            
    4188class OpenJSON(Func):
+4189    arg_types = {"this": True, "path": False, "expressions": False}
 
    
 
 
@@ -42169,8 +42297,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4187class JSONBContains(Binary):
-4188    _sql_names = ["JSONB_CONTAINS"]
+            
    4192class JSONBContains(Binary):
+4193    _sql_names = ["JSONB_CONTAINS"]
 
    
 
 
@@ -42249,8 +42377,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4191class JSONExtract(Binary, Func):
-4192    _sql_names = ["JSON_EXTRACT"]
+            
    4196class JSONExtract(Binary, Func):
+4197    _sql_names = ["JSON_EXTRACT"]
 
    
 
 
@@ -42336,8 +42464,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4195class JSONExtractScalar(JSONExtract):
-4196    _sql_names = ["JSON_EXTRACT_SCALAR"]
+            
    4200class JSONExtractScalar(JSONExtract):
+4201    _sql_names = ["JSON_EXTRACT_SCALAR"]
 
    
 
 
@@ -42423,8 +42551,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4199class JSONBExtract(JSONExtract):
-4200    _sql_names = ["JSONB_EXTRACT"]
+            
    4204class JSONBExtract(JSONExtract):
+4205    _sql_names = ["JSONB_EXTRACT"]
 
    
 
 
@@ -42510,8 +42638,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4203class JSONBExtractScalar(JSONExtract):
-4204    _sql_names = ["JSONB_EXTRACT_SCALAR"]
+            
    4208class JSONBExtractScalar(JSONExtract):
+4209    _sql_names = ["JSONB_EXTRACT_SCALAR"]
 
    
 
 
@@ -42597,9 +42725,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    4207class JSONFormat(Func):
-4208    arg_types = {"this": False, "options": False}
-4209    _sql_names = ["JSON_FORMAT"]
+            
    4212class JSONFormat(Func):
+4213    arg_types = {"this": False, "options": False}
+4214    _sql_names = ["JSON_FORMAT"]
 
    
 
 
@@ -42685,9 +42813,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    4212class Least(Func):
-4213    arg_types = {"expressions": False}
-4214    is_var_len_args = True
+            
    4217class Least(Func):
+4218    arg_types = {"expressions": False}
+4219    is_var_len_args = True
 
    
 
 
@@ -42773,8 +42901,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4217class Left(Func):
-4218    arg_types = {"this": True, "expression": True}
+            
    4222class Left(Func):
+4223    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -42860,8 +42988,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4221class Right(Func):
-4222    arg_types = {"this": True, "expression": True}
+            
    4226class Right(Func):
+4227    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -42947,8 +43075,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4225class Length(Func):
-4226    _sql_names = ["LENGTH", "LEN"]
+            
    4230class Length(Func):
+4231    _sql_names = ["LENGTH", "LEN"]
 
    
 
 
@@ -43034,14 +43162,14 @@ name is set to the expression's class name transformed to snake case.
    - 
    4229class Levenshtein(Func):
-4230    arg_types = {
-4231        "this": True,
-4232        "expression": False,
-4233        "ins_cost": False,
-4234        "del_cost": False,
-4235        "sub_cost": False,
-4236    }
+            
    4234class Levenshtein(Func):
+4235    arg_types = {
+4236        "this": True,
+4237        "expression": False,
+4238        "ins_cost": False,
+4239        "del_cost": False,
+4240        "sub_cost": False,
+4241    }
 
    
 
 
@@ -43127,8 +43255,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4239class Ln(Func):
-4240    pass
+            
    4244class Ln(Func):
+4245    pass
 
    
 
 
@@ -43214,8 +43342,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4243class Log(Func):
-4244    arg_types = {"this": True, "expression": False}
+            
    4248class Log(Func):
+4249    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -43301,8 +43429,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4247class Log2(Func):
-4248    pass
+            
    4252class Log2(Func):
+4253    pass
 
    
 
 
@@ -43388,8 +43516,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4251class Log10(Func):
-4252    pass
+            
    4256class Log10(Func):
+4257    pass
 
    
 
 
@@ -43475,8 +43603,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4255class LogicalOr(AggFunc):
-4256    _sql_names = ["LOGICAL_OR", "BOOL_OR", "BOOLOR_AGG"]
+            
    4260class LogicalOr(AggFunc):
+4261    _sql_names = ["LOGICAL_OR", "BOOL_OR", "BOOLOR_AGG"]
 
    
 
 
@@ -43562,8 +43690,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4259class LogicalAnd(AggFunc):
-4260    _sql_names = ["LOGICAL_AND", "BOOL_AND", "BOOLAND_AGG"]
+            
    4264class LogicalAnd(AggFunc):
+4265    _sql_names = ["LOGICAL_AND", "BOOL_AND", "BOOLAND_AGG"]
 
    
 
 
@@ -43649,8 +43777,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4263class Lower(Func):
-4264    _sql_names = ["LOWER", "LCASE"]
+            
    4268class Lower(Func):
+4269    _sql_names = ["LOWER", "LCASE"]
 
    
 
 
@@ -43736,8 +43864,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4267class Map(Func):
-4268    arg_types = {"keys": False, "values": False}
+            
    4272class Map(Func):
+4273    arg_types = {"keys": False, "values": False}
 
    
 
 
@@ -43823,8 +43951,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4271class StarMap(Func):
-4272    pass
+            
    4276class StarMap(Func):
+4277    pass
 
    
 
 
@@ -43910,17 +44038,17 @@ name is set to the expression's class name transformed to snake case.
    - 
    4275class VarMap(Func):
-4276    arg_types = {"keys": True, "values": True}
-4277    is_var_len_args = True
-4278
-4279    @property
-4280    def keys(self) -> t.List[Expression]:
-4281        return self.args["keys"].expressions
-4282
-4283    @property
-4284    def values(self) -> t.List[Expression]:
-4285        return self.args["values"].expressions
+            
    4280class VarMap(Func):
+4281    arg_types = {"keys": True, "values": True}
+4282    is_var_len_args = True
+4283
+4284    @property
+4285    def keys(self) -> t.List[Expression]:
+4286        return self.args["keys"].expressions
+4287
+4288    @property
+4289    def values(self) -> t.List[Expression]:
+4290        return self.args["values"].expressions
 
    
 
 
@@ -44006,8 +44134,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4289class MatchAgainst(Func):
-4290    arg_types = {"this": True, "expressions": True, "modifier": False}
+            
    4294class MatchAgainst(Func):
+4295    arg_types = {"this": True, "expressions": True, "modifier": False}
 
    
 
 
@@ -44093,9 +44221,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    4293class Max(AggFunc):
-4294    arg_types = {"this": True, "expressions": False}
-4295    is_var_len_args = True
+            
    4298class Max(AggFunc):
+4299    arg_types = {"this": True, "expressions": False}
+4300    is_var_len_args = True
 
    
 
 
@@ -44181,8 +44309,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4298class MD5(Func):
-4299    _sql_names = ["MD5"]
+            
    4303class MD5(Func):
+4304    _sql_names = ["MD5"]
 
    
 
 
@@ -44268,9 +44396,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    4302class Min(AggFunc):
-4303    arg_types = {"this": True, "expressions": False}
-4304    is_var_len_args = True
+            
    4307class Min(AggFunc):
+4308    arg_types = {"this": True, "expressions": False}
+4309    is_var_len_args = True
 
    
 
 
@@ -44356,8 +44484,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4307class Month(Func):
-4308    pass
+            
    4312class Month(Func):
+4313    pass
 
    
 
 
@@ -44443,8 +44571,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4311class Nvl2(Func):
-4312    arg_types = {"this": True, "true": True, "false": False}
+            
    4316class Nvl2(Func):
+4317    arg_types = {"this": True, "true": True, "false": False}
 
    
 
 
@@ -44530,8 +44658,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4315class Posexplode(Func):
-4316    pass
+            
    4320class Posexplode(Func):
+4321    pass
 
    
 
 
@@ -44617,8 +44745,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4319class Pow(Binary, Func):
-4320    _sql_names = ["POWER", "POW"]
+            
    4324class Pow(Binary, Func):
+4325    _sql_names = ["POWER", "POW"]
 
    
 
 
@@ -44704,8 +44832,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4323class PercentileCont(AggFunc):
-4324    arg_types = {"this": True, "expression": False}
+            
    4328class PercentileCont(AggFunc):
+4329    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -44791,8 +44919,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4327class PercentileDisc(AggFunc):
-4328    arg_types = {"this": True, "expression": False}
+            
    4332class PercentileDisc(AggFunc):
+4333    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -44878,8 +45006,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4331class Quantile(AggFunc):
-4332    arg_types = {"this": True, "quantile": True}
+            
    4336class Quantile(AggFunc):
+4337    arg_types = {"this": True, "quantile": True}
 
    
 
 
@@ -44965,8 +45093,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4335class ApproxQuantile(Quantile):
-4336    arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False}
+            
    4340class ApproxQuantile(Quantile):
+4341    arg_types = {"this": True, "quantile": True, "accuracy": False, "weight": False}
 
    
 
 
@@ -45052,8 +45180,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4339class RangeN(Func):
-4340    arg_types = {"this": True, "expressions": True, "each": False}
+            
    4344class RangeN(Func):
+4345    arg_types = {"this": True, "expressions": True, "each": False}
 
    
 
 
@@ -45139,10 +45267,10 @@ name is set to the expression's class name transformed to snake case.
    - 
    4343class ReadCSV(Func):
-4344    _sql_names = ["READ_CSV"]
-4345    is_var_len_args = True
-4346    arg_types = {"this": True, "expressions": False}
+            
    4348class ReadCSV(Func):
+4349    _sql_names = ["READ_CSV"]
+4350    is_var_len_args = True
+4351    arg_types = {"this": True, "expressions": False}
 
    
 
 
@@ -45228,8 +45356,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4349class Reduce(Func):
-4350    arg_types = {"this": True, "initial": True, "merge": True, "finish": False}
+            
    4354class Reduce(Func):
+4355    arg_types = {"this": True, "initial": True, "merge": True, "finish": False}
 
    
 
 
@@ -45315,14 +45443,14 @@ name is set to the expression's class name transformed to snake case.
    - 
    4353class RegexpExtract(Func):
-4354    arg_types = {
-4355        "this": True,
-4356        "expression": True,
-4357        "position": False,
-4358        "occurrence": False,
-4359        "group": False,
-4360    }
+            
    4358class RegexpExtract(Func):
+4359    arg_types = {
+4360        "this": True,
+4361        "expression": True,
+4362        "position": False,
+4363        "occurrence": False,
+4364        "group": False,
+4365    }
 
    
 
 
@@ -45408,8 +45536,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4363class RegexpLike(Func):
-4364    arg_types = {"this": True, "expression": True, "flag": False}
+            
    4368class RegexpLike(Func):
+4369    arg_types = {"this": True, "expression": True, "flag": False}
 
    
 
 
@@ -45495,8 +45623,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4367class RegexpILike(Func):
-4368    arg_types = {"this": True, "expression": True, "flag": False}
+            
    4372class RegexpILike(Func):
+4373    arg_types = {"this": True, "expression": True, "flag": False}
 
    
 
 
@@ -45582,8 +45710,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4373class RegexpSplit(Func):
-4374    arg_types = {"this": True, "expression": True, "limit": False}
+            
    4378class RegexpSplit(Func):
+4379    arg_types = {"this": True, "expression": True, "limit": False}
 
    
 
 
@@ -45669,8 +45797,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4377class Repeat(Func):
-4378    arg_types = {"this": True, "times": True}
+            
    4382class Repeat(Func):
+4383    arg_types = {"this": True, "times": True}
 
    
 
 
@@ -45756,8 +45884,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4381class Round(Func):
-4382    arg_types = {"this": True, "decimals": False}
+            
    4386class Round(Func):
+4387    arg_types = {"this": True, "decimals": False}
 
    
 
 
@@ -45843,8 +45971,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4385class RowNumber(Func):
-4386    arg_types: t.Dict[str, t.Any] = {}
+            
    4390class RowNumber(Func):
+4391    arg_types: t.Dict[str, t.Any] = {}
 
    
 
 
@@ -45930,8 +46058,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4389class SafeDivide(Func):
-4390    arg_types = {"this": True, "expression": True}
+            
    4394class SafeDivide(Func):
+4395    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -46017,8 +46145,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4393class SetAgg(AggFunc):
-4394    pass
+            
    4398class SetAgg(AggFunc):
+4399    pass
 
    
 
 
@@ -46104,8 +46232,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4397class SHA(Func):
-4398    _sql_names = ["SHA", "SHA1"]
+            
    4402class SHA(Func):
+4403    _sql_names = ["SHA", "SHA1"]
 
    
 
 
@@ -46191,9 +46319,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    4401class SHA2(Func):
-4402    _sql_names = ["SHA2"]
-4403    arg_types = {"this": True, "length": False}
+            
    4406class SHA2(Func):
+4407    _sql_names = ["SHA2"]
+4408    arg_types = {"this": True, "length": False}
 
    
 
 
@@ -46279,8 +46407,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4406class SortArray(Func):
-4407    arg_types = {"this": True, "asc": False}
+            
    4411class SortArray(Func):
+4412    arg_types = {"this": True, "asc": False}
 
    
 
 
@@ -46366,8 +46494,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4410class Split(Func):
-4411    arg_types = {"this": True, "expression": True, "limit": False}
+            
    4415class Split(Func):
+4416    arg_types = {"this": True, "expression": True, "limit": False}
 
    
 
 
@@ -46453,8 +46581,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4416class Substring(Func):
-4417    arg_types = {"this": True, "start": False, "length": False}
+            
    4421class Substring(Func):
+4422    arg_types = {"this": True, "start": False, "length": False}
 
    
 
 
@@ -46540,8 +46668,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4420class StandardHash(Func):
-4421    arg_types = {"this": True, "expression": False}
+            
    4425class StandardHash(Func):
+4426    arg_types = {"this": True, "expression": False}
 
    
 
 
@@ -46627,13 +46755,13 @@ name is set to the expression's class name transformed to snake case.
    - 
    4424class StrPosition(Func):
-4425    arg_types = {
-4426        "this": True,
-4427        "substr": True,
-4428        "position": False,
-4429        "instance": False,
-4430    }
+            
    4429class StrPosition(Func):
+4430    arg_types = {
+4431        "this": True,
+4432        "substr": True,
+4433        "position": False,
+4434        "instance": False,
+4435    }
 
    
 
 
@@ -46719,8 +46847,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4433class StrToDate(Func):
-4434    arg_types = {"this": True, "format": True}
+            
    4438class StrToDate(Func):
+4439    arg_types = {"this": True, "format": True}
 
    
 
 
@@ -46806,8 +46934,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4437class StrToTime(Func):
-4438    arg_types = {"this": True, "format": True}
+            
    4442class StrToTime(Func):
+4443    arg_types = {"this": True, "format": True}
 
    
 
 
@@ -46893,8 +47021,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4443class StrToUnix(Func):
-4444    arg_types = {"this": False, "format": False}
+            
    4448class StrToUnix(Func):
+4449    arg_types = {"this": False, "format": False}
 
    
 
 
@@ -46980,8 +47108,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4447class NumberToStr(Func):
-4448    arg_types = {"this": True, "format": True}
+            
    4452class NumberToStr(Func):
+4453    arg_types = {"this": True, "format": True}
 
    
 
 
@@ -47067,8 +47195,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4451class FromBase(Func):
-4452    arg_types = {"this": True, "expression": True}
+            
    4456class FromBase(Func):
+4457    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -47154,9 +47282,9 @@ name is set to the expression's class name transformed to snake case.
    - 
    4455class Struct(Func):
-4456    arg_types = {"expressions": True}
-4457    is_var_len_args = True
+            
    4460class Struct(Func):
+4461    arg_types = {"expressions": True}
+4462    is_var_len_args = True
 
    
 
 
@@ -47242,8 +47370,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4460class StructExtract(Func):
-4461    arg_types = {"this": True, "expression": True}
+            
    4465class StructExtract(Func):
+4466    arg_types = {"this": True, "expression": True}
 
    
 
 
@@ -47329,8 +47457,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4464class Sum(AggFunc):
-4465    pass
+            
    4469class Sum(AggFunc):
+4470    pass
 
    
 
 
@@ -47416,8 +47544,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4468class Sqrt(Func):
-4469    pass
+            
    4473class Sqrt(Func):
+4474    pass
 
    
 
 
@@ -47503,8 +47631,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4472class Stddev(AggFunc):
-4473    pass
+            
    4477class Stddev(AggFunc):
+4478    pass
 
    
 
 
@@ -47590,8 +47718,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4476class StddevPop(AggFunc):
-4477    pass
+            
    4481class StddevPop(AggFunc):
+4482    pass
 
    
 
 
@@ -47677,8 +47805,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4480class StddevSamp(AggFunc):
-4481    pass
+            
    4485class StddevSamp(AggFunc):
+4486    pass
 
    
 
 
@@ -47764,8 +47892,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4484class TimeToStr(Func):
-4485    arg_types = {"this": True, "format": True}
+            
    4489class TimeToStr(Func):
+4490    arg_types = {"this": True, "format": True}
 
    
 
 
@@ -47851,8 +47979,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4488class TimeToTimeStr(Func):
-4489    pass
+            
    4493class TimeToTimeStr(Func):
+4494    pass
 
    
 
 
@@ -47938,8 +48066,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4492class TimeToUnix(Func):
-4493    pass
+            
    4497class TimeToUnix(Func):
+4498    pass
 
    
 
 
@@ -48025,8 +48153,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4496class TimeStrToDate(Func):
-4497    pass
+            
    4501class TimeStrToDate(Func):
+4502    pass
 
    
 
 
@@ -48112,8 +48240,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4500class TimeStrToTime(Func):
-4501    pass
+            
    4505class TimeStrToTime(Func):
+4506    pass
 
    
 
 
@@ -48199,8 +48327,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4504class TimeStrToUnix(Func):
-4505    pass
+            
    4509class TimeStrToUnix(Func):
+4510    pass
 
    
 
 
@@ -48286,13 +48414,13 @@ name is set to the expression's class name transformed to snake case.
    - 
    4508class Trim(Func):
-4509    arg_types = {
-4510        "this": True,
-4511        "expression": False,
-4512        "position": False,
-4513        "collation": False,
-4514    }
+            
    4513class Trim(Func):
+4514    arg_types = {
+4515        "this": True,
+4516        "expression": False,
+4517        "position": False,
+4518        "collation": False,
+4519    }
 
    
 
 
@@ -48378,8 +48506,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4517class TsOrDsAdd(Func, TimeUnit):
-4518    arg_types = {"this": True, "expression": True, "unit": False}
+            
    4522class TsOrDsAdd(Func, TimeUnit):
+4523    arg_types = {"this": True, "expression": True, "unit": False}
 
    
 
 
@@ -48468,8 +48596,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4521class TsOrDsToDateStr(Func):
-4522    pass
+            
    4526class TsOrDsToDateStr(Func):
+4527    pass
 
    
 
 
@@ -48555,8 +48683,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4525class TsOrDsToDate(Func):
-4526    arg_types = {"this": True, "format": False}
+            
    4530class TsOrDsToDate(Func):
+4531    arg_types = {"this": True, "format": False}
 
    
 
 
@@ -48642,8 +48770,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4529class TsOrDiToDi(Func):
-4530    pass
+            
    4534class TsOrDiToDi(Func):
+4535    pass
 
    
 
 
@@ -48729,8 +48857,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4533class Unhex(Func):
-4534    pass
+            
    4538class Unhex(Func):
+4539    pass
 
    
 
 
@@ -48816,8 +48944,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4537class UnixToStr(Func):
-4538    arg_types = {"this": True, "format": False}
+            
    4542class UnixToStr(Func):
+4543    arg_types = {"this": True, "format": False}
 
    
 
 
@@ -48903,12 +49031,12 @@ name is set to the expression's class name transformed to snake case.
    - 
    4543class UnixToTime(Func):
-4544    arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False}
-4545
-4546    SECONDS = Literal.string("seconds")
-4547    MILLIS = Literal.string("millis")
-4548    MICROS = Literal.string("micros")
+            
    4548class UnixToTime(Func):
+4549    arg_types = {"this": True, "scale": False, "zone": False, "hours": False, "minutes": False}
+4550
+4551    SECONDS = Literal.string("seconds")
+4552    MILLIS = Literal.string("millis")
+4553    MICROS = Literal.string("micros")
 
    
 
 
@@ -48994,8 +49122,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4551class UnixToTimeStr(Func):
-4552    pass
+            
    4556class UnixToTimeStr(Func):
+4557    pass
 
    
 
 
@@ -49081,8 +49209,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4555class Upper(Func):
-4556    _sql_names = ["UPPER", "UCASE"]
+            
    4560class Upper(Func):
+4561    _sql_names = ["UPPER", "UCASE"]
 
    
 
 
@@ -49168,8 +49296,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4559class Variance(AggFunc):
-4560    _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"]
+            
    4564class Variance(AggFunc):
+4565    _sql_names = ["VARIANCE", "VARIANCE_SAMP", "VAR_SAMP"]
 
    
 
 
@@ -49255,8 +49383,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4563class VariancePop(AggFunc):
-4564    _sql_names = ["VARIANCE_POP", "VAR_POP"]
+            
    4568class VariancePop(AggFunc):
+4569    _sql_names = ["VARIANCE_POP", "VAR_POP"]
 
    
 
 
@@ -49342,8 +49470,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4567class Week(Func):
-4568    arg_types = {"this": True, "mode": False}
+            
    4572class Week(Func):
+4573    arg_types = {"this": True, "mode": False}
 
    
 
 
@@ -49429,8 +49557,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4571class XMLTable(Func):
-4572    arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False}
+            
    4576class XMLTable(Func):
+4577    arg_types = {"this": True, "passing": False, "columns": False, "by_ref": False}
 
    
 
 
@@ -49516,8 +49644,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4575class Year(Func):
-4576    pass
+            
    4580class Year(Func):
+4581    pass
 
    
 
 
@@ -49603,8 +49731,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4579class Use(Expression):
-4580    arg_types = {"this": True, "kind": False}
+            
    4584class Use(Expression):
+4585    arg_types = {"this": True, "kind": False}
 
    
 
 
@@ -49668,8 +49796,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4583class Merge(Expression):
-4584    arg_types = {"this": True, "using": True, "on": True, "expressions": True}
+            
    4588class Merge(Expression):
+4589    arg_types = {"this": True, "using": True, "on": True, "expressions": True}
 
    
 
 
@@ -49733,8 +49861,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4587class When(Func):
-4588    arg_types = {"matched": True, "source": False, "condition": False, "then": True}
+            
    4592class When(Func):
+4593    arg_types = {"matched": True, "source": False, "condition": False, "then": True}
 
    
 
 
@@ -49820,8 +49948,8 @@ name is set to the expression's class name transformed to snake case.
    - 
    4593class NextValueFor(Func):
-4594    arg_types = {"this": True, "order": False}
+            
    4598class NextValueFor(Func):
+4599    arg_types = {"this": True, "order": False}
 
    
 
 
@@ -49907,52 +50035,52 @@ name is set to the expression's class name transformed to snake case.
    - 
    4631def maybe_parse(
-4632    sql_or_expression: ExpOrStr,
-4633    *,
-4634    into: t.Optional[IntoType] = None,
-4635    dialect: DialectType = None,
-4636    prefix: t.Optional[str] = None,
-4637    copy: bool = False,
-4638    **opts,
-4639) -> Expression:
-4640    """Gracefully handle a possible string or expression.
-4641
-4642    Example:
-4643        >>> maybe_parse("1")
-4644        (LITERAL this: 1, is_string: False)
-4645        >>> maybe_parse(to_identifier("x"))
-4646        (IDENTIFIER this: x, quoted: False)
-4647
-4648    Args:
-4649        sql_or_expression: the SQL code string or an expression
-4650        into: the SQLGlot Expression to parse into
-4651        dialect: the dialect used to parse the input expressions (in the case that an
-4652            input expression is a SQL string).
-4653        prefix: a string to prefix the sql with before it gets parsed
-4654            (automatically includes a space)
-4655        copy: whether or not to copy the expression.
-4656        **opts: other options to use to parse the input expressions (again, in the case
-4657            that an input expression is a SQL string).
-4658
-4659    Returns:
-4660        Expression: the parsed or given expression.
-4661    """
-4662    if isinstance(sql_or_expression, Expression):
-4663        if copy:
-4664            return sql_or_expression.copy()
-4665        return sql_or_expression
-4666
-4667    if sql_or_expression is None:
-4668        raise ParseError(f"SQL cannot be None")
-4669
-4670    import sqlglot
+            
    4636def maybe_parse(
+4637    sql_or_expression: ExpOrStr,
+4638    *,
+4639    into: t.Optional[IntoType] = None,
+4640    dialect: DialectType = None,
+4641    prefix: t.Optional[str] = None,
+4642    copy: bool = False,
+4643    **opts,
+4644) -> Expression:
+4645    """Gracefully handle a possible string or expression.
+4646
+4647    Example:
+4648        >>> maybe_parse("1")
+4649        (LITERAL this: 1, is_string: False)
+4650        >>> maybe_parse(to_identifier("x"))
+4651        (IDENTIFIER this: x, quoted: False)
+4652
+4653    Args:
+4654        sql_or_expression: the SQL code string or an expression
+4655        into: the SQLGlot Expression to parse into
+4656        dialect: the dialect used to parse the input expressions (in the case that an
+4657            input expression is a SQL string).
+4658        prefix: a string to prefix the sql with before it gets parsed
+4659            (automatically includes a space)
+4660        copy: whether or not to copy the expression.
+4661        **opts: other options to use to parse the input expressions (again, in the case
+4662            that an input expression is a SQL string).
+4663
+4664    Returns:
+4665        Expression: the parsed or given expression.
+4666    """
+4667    if isinstance(sql_or_expression, Expression):
+4668        if copy:
+4669            return sql_or_expression.copy()
+4670        return sql_or_expression
 4671
-4672    sql = str(sql_or_expression)
-4673    if prefix:
-4674        sql = f"{prefix} {sql}"
-4675
-4676    return sqlglot.parse_one(sql, read=dialect, into=into, **opts)
+4672    if sql_or_expression is None:
+4673        raise ParseError(f"SQL cannot be None")
+4674
+4675    import sqlglot
+4676
+4677    sql = str(sql_or_expression)
+4678    if prefix:
+4679        sql = f"{prefix} {sql}"
+4680
+4681    return sqlglot.parse_one(sql, read=dialect, into=into, **opts)
 
    
 
 
@@ -50004,32 +50132,32 @@ that an input expression is a SQL string).
    - 
    4860def union(
-4861    left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
-4862) -> Union:
-4863    """
-4864    Initializes a syntax tree from one UNION expression.
-4865
-4866    Example:
-4867        >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()
-4868        'SELECT * FROM foo UNION SELECT * FROM bla'
-4869
-4870    Args:
-4871        left: the SQL code string corresponding to the left-hand side.
-4872            If an `Expression` instance is passed, it will be used as-is.
-4873        right: the SQL code string corresponding to the right-hand side.
-4874            If an `Expression` instance is passed, it will be used as-is.
-4875        distinct: set the DISTINCT flag if and only if this is true.
-4876        dialect: the dialect used to parse the input expression.
-4877        opts: other options to use to parse the input expressions.
-4878
-4879    Returns:
-4880        The new Union instance.
-4881    """
-4882    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
-4883    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
-4884
-4885    return Union(this=left, expression=right, distinct=distinct)
+            
    4865def union(
+4866    left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+4867) -> Union:
+4868    """
+4869    Initializes a syntax tree from one UNION expression.
+4870
+4871    Example:
+4872        >>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()
+4873        'SELECT * FROM foo UNION SELECT * FROM bla'
+4874
+4875    Args:
+4876        left: the SQL code string corresponding to the left-hand side.
+4877            If an `Expression` instance is passed, it will be used as-is.
+4878        right: the SQL code string corresponding to the right-hand side.
+4879            If an `Expression` instance is passed, it will be used as-is.
+4880        distinct: set the DISTINCT flag if and only if this is true.
+4881        dialect: the dialect used to parse the input expression.
+4882        opts: other options to use to parse the input expressions.
+4883
+4884    Returns:
+4885        The new Union instance.
+4886    """
+4887    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
+4888    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
+4889
+4890    return Union(this=left, expression=right, distinct=distinct)
 
    
 
 
@@ -50077,32 +50205,32 @@ If an Expression instance is passed, it w
    - 
    4888def intersect(
-4889    left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
-4890) -> Intersect:
-4891    """
-4892    Initializes a syntax tree from one INTERSECT expression.
-4893
-4894    Example:
-4895        >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()
-4896        'SELECT * FROM foo INTERSECT SELECT * FROM bla'
-4897
-4898    Args:
-4899        left: the SQL code string corresponding to the left-hand side.
-4900            If an `Expression` instance is passed, it will be used as-is.
-4901        right: the SQL code string corresponding to the right-hand side.
-4902            If an `Expression` instance is passed, it will be used as-is.
-4903        distinct: set the DISTINCT flag if and only if this is true.
-4904        dialect: the dialect used to parse the input expression.
-4905        opts: other options to use to parse the input expressions.
-4906
-4907    Returns:
-4908        The new Intersect instance.
-4909    """
-4910    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
-4911    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
-4912
-4913    return Intersect(this=left, expression=right, distinct=distinct)
+            
    4893def intersect(
+4894    left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+4895) -> Intersect:
+4896    """
+4897    Initializes a syntax tree from one INTERSECT expression.
+4898
+4899    Example:
+4900        >>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()
+4901        'SELECT * FROM foo INTERSECT SELECT * FROM bla'
+4902
+4903    Args:
+4904        left: the SQL code string corresponding to the left-hand side.
+4905            If an `Expression` instance is passed, it will be used as-is.
+4906        right: the SQL code string corresponding to the right-hand side.
+4907            If an `Expression` instance is passed, it will be used as-is.
+4908        distinct: set the DISTINCT flag if and only if this is true.
+4909        dialect: the dialect used to parse the input expression.
+4910        opts: other options to use to parse the input expressions.
+4911
+4912    Returns:
+4913        The new Intersect instance.
+4914    """
+4915    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
+4916    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
+4917
+4918    return Intersect(this=left, expression=right, distinct=distinct)
 
    
 
 
@@ -50150,32 +50278,32 @@ If an Expression instance is passed, it w
    - 
    4916def except_(
-4917    left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
-4918) -> Except:
-4919    """
-4920    Initializes a syntax tree from one EXCEPT expression.
-4921
-4922    Example:
-4923        >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()
-4924        'SELECT * FROM foo EXCEPT SELECT * FROM bla'
-4925
-4926    Args:
-4927        left: the SQL code string corresponding to the left-hand side.
-4928            If an `Expression` instance is passed, it will be used as-is.
-4929        right: the SQL code string corresponding to the right-hand side.
-4930            If an `Expression` instance is passed, it will be used as-is.
-4931        distinct: set the DISTINCT flag if and only if this is true.
-4932        dialect: the dialect used to parse the input expression.
-4933        opts: other options to use to parse the input expressions.
-4934
-4935    Returns:
-4936        The new Except instance.
-4937    """
-4938    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
-4939    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
-4940
-4941    return Except(this=left, expression=right, distinct=distinct)
+            
    4921def except_(
+4922    left: ExpOrStr, right: ExpOrStr, distinct: bool = True, dialect: DialectType = None, **opts
+4923) -> Except:
+4924    """
+4925    Initializes a syntax tree from one EXCEPT expression.
+4926
+4927    Example:
+4928        >>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()
+4929        'SELECT * FROM foo EXCEPT SELECT * FROM bla'
+4930
+4931    Args:
+4932        left: the SQL code string corresponding to the left-hand side.
+4933            If an `Expression` instance is passed, it will be used as-is.
+4934        right: the SQL code string corresponding to the right-hand side.
+4935            If an `Expression` instance is passed, it will be used as-is.
+4936        distinct: set the DISTINCT flag if and only if this is true.
+4937        dialect: the dialect used to parse the input expression.
+4938        opts: other options to use to parse the input expressions.
+4939
+4940    Returns:
+4941        The new Except instance.
+4942    """
+4943    left = maybe_parse(sql_or_expression=left, dialect=dialect, **opts)
+4944    right = maybe_parse(sql_or_expression=right, dialect=dialect, **opts)
+4945
+4946    return Except(this=left, expression=right, distinct=distinct)
 
    
 
 
@@ -50223,26 +50351,26 @@ If an Expression instance is passed, it w
    - 
    4944def select(*expressions: ExpOrStr, dialect: DialectType = None, **opts) -> Select:
-4945    """
-4946    Initializes a syntax tree from one or multiple SELECT expressions.
-4947
-4948    Example:
-4949        >>> select("col1", "col2").from_("tbl").sql()
-4950        'SELECT col1, col2 FROM tbl'
-4951
-4952    Args:
-4953        *expressions: the SQL code string to parse as the expressions of a
-4954            SELECT statement. If an Expression instance is passed, this is used as-is.
-4955        dialect: the dialect used to parse the input expressions (in the case that an
-4956            input expression is a SQL string).
-4957        **opts: other options to use to parse the input expressions (again, in the case
-4958            that an input expression is a SQL string).
-4959
-4960    Returns:
-4961        Select: the syntax tree for the SELECT statement.
-4962    """
-4963    return Select().select(*expressions, dialect=dialect, **opts)
+            
    4949def select(*expressions: ExpOrStr, dialect: DialectType = None, **opts) -> Select:
+4950    """
+4951    Initializes a syntax tree from one or multiple SELECT expressions.
+4952
+4953    Example:
+4954        >>> select("col1", "col2").from_("tbl").sql()
+4955        'SELECT col1, col2 FROM tbl'
+4956
+4957    Args:
+4958        *expressions: the SQL code string to parse as the expressions of a
+4959            SELECT statement. If an Expression instance is passed, this is used as-is.
+4960        dialect: the dialect used to parse the input expressions (in the case that an
+4961            input expression is a SQL string).
+4962        **opts: other options to use to parse the input expressions (again, in the case
+4963            that an input expression is a SQL string).
+4964
+4965    Returns:
+4966        Select: the syntax tree for the SELECT statement.
+4967    """
+4968    return Select().select(*expressions, dialect=dialect, **opts)
 
    
 
 
@@ -50289,26 +50417,26 @@ that an input expression is a SQL string).
    - 
    4966def from_(expression: ExpOrStr, dialect: DialectType = None, **opts) -> Select:
-4967    """
-4968    Initializes a syntax tree from a FROM expression.
-4969
-4970    Example:
-4971        >>> from_("tbl").select("col1", "col2").sql()
-4972        'SELECT col1, col2 FROM tbl'
-4973
-4974    Args:
-4975        *expression: the SQL code string to parse as the FROM expressions of a
-4976            SELECT statement. If an Expression instance is passed, this is used as-is.
-4977        dialect: the dialect used to parse the input expression (in the case that the
-4978            input expression is a SQL string).
-4979        **opts: other options to use to parse the input expressions (again, in the case
-4980            that the input expression is a SQL string).
-4981
-4982    Returns:
-4983        Select: the syntax tree for the SELECT statement.
-4984    """
-4985    return Select().from_(expression, dialect=dialect, **opts)
+            
    4971def from_(expression: ExpOrStr, dialect: DialectType = None, **opts) -> Select:
+4972    """
+4973    Initializes a syntax tree from a FROM expression.
+4974
+4975    Example:
+4976        >>> from_("tbl").select("col1", "col2").sql()
+4977        'SELECT col1, col2 FROM tbl'
+4978
+4979    Args:
+4980        *expression: the SQL code string to parse as the FROM expressions of a
+4981            SELECT statement. If an Expression instance is passed, this is used as-is.
+4982        dialect: the dialect used to parse the input expression (in the case that the
+4983            input expression is a SQL string).
+4984        **opts: other options to use to parse the input expressions (again, in the case
+4985            that the input expression is a SQL string).
+4986
+4987    Returns:
+4988        Select: the syntax tree for the SELECT statement.
+4989    """
+4990    return Select().from_(expression, dialect=dialect, **opts)
 
    
 
 
@@ -50355,53 +50483,53 @@ that the input expression is a SQL string).
    - 
    4988def update(
-4989    table: str | Table,
-4990    properties: dict,
-4991    where: t.Optional[ExpOrStr] = None,
-4992    from_: t.Optional[ExpOrStr] = None,
-4993    dialect: DialectType = None,
-4994    **opts,
-4995) -> Update:
-4996    """
-4997    Creates an update statement.
-4998
-4999    Example:
-5000        >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()
-5001        "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"
-5002
-5003    Args:
-5004        *properties: dictionary of properties to set which are
-5005            auto converted to sql objects eg None -> NULL
-5006        where: sql conditional parsed into a WHERE statement
-5007        from_: sql statement parsed into a FROM statement
-5008        dialect: the dialect used to parse the input expressions.
-5009        **opts: other options to use to parse the input expressions.
-5010
-5011    Returns:
-5012        Update: the syntax tree for the UPDATE statement.
-5013    """
-5014    update_expr = Update(this=maybe_parse(table, into=Table, dialect=dialect))
-5015    update_expr.set(
-5016        "expressions",
-5017        [
-5018            EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v))
-5019            for k, v in properties.items()
-5020        ],
-5021    )
-5022    if from_:
-5023        update_expr.set(
-5024            "from",
-5025            maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts),
-5026        )
-5027    if isinstance(where, Condition):
-5028        where = Where(this=where)
-5029    if where:
-5030        update_expr.set(
-5031            "where",
-5032            maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts),
-5033        )
-5034    return update_expr
+            
    4993def update(
+4994    table: str | Table,
+4995    properties: dict,
+4996    where: t.Optional[ExpOrStr] = None,
+4997    from_: t.Optional[ExpOrStr] = None,
+4998    dialect: DialectType = None,
+4999    **opts,
+5000) -> Update:
+5001    """
+5002    Creates an update statement.
+5003
+5004    Example:
+5005        >>> update("my_table", {"x": 1, "y": "2", "z": None}, from_="baz", where="id > 1").sql()
+5006        "UPDATE my_table SET x = 1, y = '2', z = NULL FROM baz WHERE id > 1"
+5007
+5008    Args:
+5009        *properties: dictionary of properties to set which are
+5010            auto converted to sql objects eg None -> NULL
+5011        where: sql conditional parsed into a WHERE statement
+5012        from_: sql statement parsed into a FROM statement
+5013        dialect: the dialect used to parse the input expressions.
+5014        **opts: other options to use to parse the input expressions.
+5015
+5016    Returns:
+5017        Update: the syntax tree for the UPDATE statement.
+5018    """
+5019    update_expr = Update(this=maybe_parse(table, into=Table, dialect=dialect))
+5020    update_expr.set(
+5021        "expressions",
+5022        [
+5023            EQ(this=maybe_parse(k, dialect=dialect, **opts), expression=convert(v))
+5024            for k, v in properties.items()
+5025        ],
+5026    )
+5027    if from_:
+5028        update_expr.set(
+5029            "from",
+5030            maybe_parse(from_, into=From, dialect=dialect, prefix="FROM", **opts),
+5031        )
+5032    if isinstance(where, Condition):
+5033        where = Where(this=where)
+5034    if where:
+5035        update_expr.set(
+5036            "where",
+5037            maybe_parse(where, into=Where, dialect=dialect, prefix="WHERE", **opts),
+5038        )
+5039    return update_expr
 
    
 
 
@@ -50448,35 +50576,35 @@ auto converted to sql objects eg None -> NULL
    - 
    5037def delete(
-5038    table: ExpOrStr,
-5039    where: t.Optional[ExpOrStr] = None,
-5040    returning: t.Optional[ExpOrStr] = None,
-5041    dialect: DialectType = None,
-5042    **opts,
-5043) -> Delete:
-5044    """
-5045    Builds a delete statement.
-5046
-5047    Example:
-5048        >>> delete("my_table", where="id > 1").sql()
-5049        'DELETE FROM my_table WHERE id > 1'
-5050
-5051    Args:
-5052        where: sql conditional parsed into a WHERE statement
-5053        returning: sql conditional parsed into a RETURNING statement
-5054        dialect: the dialect used to parse the input expressions.
-5055        **opts: other options to use to parse the input expressions.
-5056
-5057    Returns:
-5058        Delete: the syntax tree for the DELETE statement.
-5059    """
-5060    delete_expr = Delete().delete(table, dialect=dialect, copy=False, **opts)
-5061    if where:
-5062        delete_expr = delete_expr.where(where, dialect=dialect, copy=False, **opts)
-5063    if returning:
-5064        delete_expr = delete_expr.returning(returning, dialect=dialect, copy=False, **opts)
-5065    return delete_expr
+            
    5042def delete(
+5043    table: ExpOrStr,
+5044    where: t.Optional[ExpOrStr] = None,
+5045    returning: t.Optional[ExpOrStr] = None,
+5046    dialect: DialectType = None,
+5047    **opts,
+5048) -> Delete:
+5049    """
+5050    Builds a delete statement.
+5051
+5052    Example:
+5053        >>> delete("my_table", where="id > 1").sql()
+5054        'DELETE FROM my_table WHERE id > 1'
+5055
+5056    Args:
+5057        where: sql conditional parsed into a WHERE statement
+5058        returning: sql conditional parsed into a RETURNING statement
+5059        dialect: the dialect used to parse the input expressions.
+5060        **opts: other options to use to parse the input expressions.
+5061
+5062    Returns:
+5063        Delete: the syntax tree for the DELETE statement.
+5064    """
+5065    delete_expr = Delete().delete(table, dialect=dialect, copy=False, **opts)
+5066    if where:
+5067        delete_expr = delete_expr.where(where, dialect=dialect, copy=False, **opts)
+5068    if returning:
+5069        delete_expr = delete_expr.returning(returning, dialect=dialect, copy=False, **opts)
+5070    return delete_expr
 
    
 
 
@@ -50521,49 +50649,49 @@ auto converted to sql objects eg None -> NULL
    - 
    5068def insert(
-5069    expression: ExpOrStr,
-5070    into: ExpOrStr,
-5071    columns: t.Optional[t.Sequence[ExpOrStr]] = None,
-5072    overwrite: t.Optional[bool] = None,
-5073    dialect: DialectType = None,
-5074    copy: bool = True,
-5075    **opts,
-5076) -> Insert:
-5077    """
-5078    Builds an INSERT statement.
-5079
-5080    Example:
-5081        >>> insert("VALUES (1, 2, 3)", "tbl").sql()
-5082        'INSERT INTO tbl VALUES (1, 2, 3)'
-5083
-5084    Args:
-5085        expression: the sql string or expression of the INSERT statement
-5086        into: the tbl to insert data to.
-5087        columns: optionally the table's column names.
-5088        overwrite: whether to INSERT OVERWRITE or not.
-5089        dialect: the dialect used to parse the input expressions.
-5090        copy: whether or not to copy the expression.
-5091        **opts: other options to use to parse the input expressions.
-5092
-5093    Returns:
-5094        Insert: the syntax tree for the INSERT statement.
-5095    """
-5096    expr = maybe_parse(expression, dialect=dialect, copy=copy, **opts)
-5097    this: Table | Schema = maybe_parse(into, into=Table, dialect=dialect, copy=copy, **opts)
-5098
-5099    if columns:
-5100        this = _apply_list_builder(
-5101            *columns,
-5102            instance=Schema(this=this),
-5103            arg="expressions",
-5104            into=Identifier,
-5105            copy=False,
-5106            dialect=dialect,
-5107            **opts,
-5108        )
-5109
-5110    return Insert(this=this, expression=expr, overwrite=overwrite)
+            
    5073def insert(
+5074    expression: ExpOrStr,
+5075    into: ExpOrStr,
+5076    columns: t.Optional[t.Sequence[ExpOrStr]] = None,
+5077    overwrite: t.Optional[bool] = None,
+5078    dialect: DialectType = None,
+5079    copy: bool = True,
+5080    **opts,
+5081) -> Insert:
+5082    """
+5083    Builds an INSERT statement.
+5084
+5085    Example:
+5086        >>> insert("VALUES (1, 2, 3)", "tbl").sql()
+5087        'INSERT INTO tbl VALUES (1, 2, 3)'
+5088
+5089    Args:
+5090        expression: the sql string or expression of the INSERT statement
+5091        into: the tbl to insert data to.
+5092        columns: optionally the table's column names.
+5093        overwrite: whether to INSERT OVERWRITE or not.
+5094        dialect: the dialect used to parse the input expressions.
+5095        copy: whether or not to copy the expression.
+5096        **opts: other options to use to parse the input expressions.
+5097
+5098    Returns:
+5099        Insert: the syntax tree for the INSERT statement.
+5100    """
+5101    expr = maybe_parse(expression, dialect=dialect, copy=copy, **opts)
+5102    this: Table | Schema = maybe_parse(into, into=Table, dialect=dialect, copy=copy, **opts)
+5103
+5104    if columns:
+5105        this = _apply_list_builder(
+5106            *columns,
+5107            instance=Schema(this=this),
+5108            arg="expressions",
+5109            into=Identifier,
+5110            copy=False,
+5111            dialect=dialect,
+5112            **opts,
+5113        )
+5114
+5115    return Insert(this=this, expression=expr, overwrite=overwrite)
 
    
 
 
@@ -50611,41 +50739,41 @@ auto converted to sql objects eg None -> NULL
    - 
    5113def condition(
-5114    expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
-5115) -> Condition:
-5116    """
-5117    Initialize a logical condition expression.
-5118
-5119    Example:
-5120        >>> condition("x=1").sql()
-5121        'x = 1'
-5122
-5123        This is helpful for composing larger logical syntax trees:
-5124        >>> where = condition("x=1")
-5125        >>> where = where.and_("y=1")
-5126        >>> Select().from_("tbl").select("*").where(where).sql()
-5127        'SELECT * FROM tbl WHERE x = 1 AND y = 1'
-5128
-5129    Args:
-5130        *expression: the SQL code string to parse.
-5131            If an Expression instance is passed, this is used as-is.
-5132        dialect: the dialect used to parse the input expression (in the case that the
-5133            input expression is a SQL string).
-5134        copy: Whether or not to copy `expression` (only applies to expressions).
-5135        **opts: other options to use to parse the input expressions (again, in the case
-5136            that the input expression is a SQL string).
-5137
-5138    Returns:
-5139        The new Condition instance
-5140    """
-5141    return maybe_parse(
-5142        expression,
-5143        into=Condition,
-5144        dialect=dialect,
-5145        copy=copy,
-5146        **opts,
-5147    )
+            
    5118def condition(
+5119    expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts
+5120) -> Condition:
+5121    """
+5122    Initialize a logical condition expression.
+5123
+5124    Example:
+5125        >>> condition("x=1").sql()
+5126        'x = 1'
+5127
+5128        This is helpful for composing larger logical syntax trees:
+5129        >>> where = condition("x=1")
+5130        >>> where = where.and_("y=1")
+5131        >>> Select().from_("tbl").select("*").where(where).sql()
+5132        'SELECT * FROM tbl WHERE x = 1 AND y = 1'
+5133
+5134    Args:
+5135        *expression: the SQL code string to parse.
+5136            If an Expression instance is passed, this is used as-is.
+5137        dialect: the dialect used to parse the input expression (in the case that the
+5138            input expression is a SQL string).
+5139        copy: Whether or not to copy `expression` (only applies to expressions).
+5140        **opts: other options to use to parse the input expressions (again, in the case
+5141            that the input expression is a SQL string).
+5142
+5143    Returns:
+5144        The new Condition instance
+5145    """
+5146    return maybe_parse(
+5147        expression,
+5148        into=Condition,
+5149        dialect=dialect,
+5150        copy=copy,
+5151        **opts,
+5152    )
 
    
 
 
@@ -50703,27 +50831,27 @@ that the input expression is a SQL string).
    - 
    5150def and_(
-5151    *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts
-5152) -> Condition:
-5153    """
-5154    Combine multiple conditions with an AND logical operator.
-5155
-5156    Example:
-5157        >>> and_("x=1", and_("y=1", "z=1")).sql()
-5158        'x = 1 AND (y = 1 AND z = 1)'
-5159
-5160    Args:
-5161        *expressions: the SQL code strings to parse.
-5162            If an Expression instance is passed, this is used as-is.
-5163        dialect: the dialect used to parse the input expression.
-5164        copy: whether or not to copy `expressions` (only applies to Expressions).
-5165        **opts: other options to use to parse the input expressions.
-5166
-5167    Returns:
-5168        And: the new condition
-5169    """
-5170    return t.cast(Condition, _combine(expressions, And, dialect, copy=copy, **opts))
+            
    5155def and_(
+5156    *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts
+5157) -> Condition:
+5158    """
+5159    Combine multiple conditions with an AND logical operator.
+5160
+5161    Example:
+5162        >>> and_("x=1", and_("y=1", "z=1")).sql()
+5163        'x = 1 AND (y = 1 AND z = 1)'
+5164
+5165    Args:
+5166        *expressions: the SQL code strings to parse.
+5167            If an Expression instance is passed, this is used as-is.
+5168        dialect: the dialect used to parse the input expression.
+5169        copy: whether or not to copy `expressions` (only applies to Expressions).
+5170        **opts: other options to use to parse the input expressions.
+5171
+5172    Returns:
+5173        And: the new condition
+5174    """
+5175    return t.cast(Condition, _combine(expressions, And, dialect, copy=copy, **opts))
 
    
 
 
@@ -50769,27 +50897,27 @@ If an Expression instance is passed, this is used as-is.
    - 
    5173def or_(
-5174    *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts
-5175) -> Condition:
-5176    """
-5177    Combine multiple conditions with an OR logical operator.
-5178
-5179    Example:
-5180        >>> or_("x=1", or_("y=1", "z=1")).sql()
-5181        'x = 1 OR (y = 1 OR z = 1)'
-5182
-5183    Args:
-5184        *expressions: the SQL code strings to parse.
-5185            If an Expression instance is passed, this is used as-is.
-5186        dialect: the dialect used to parse the input expression.
-5187        copy: whether or not to copy `expressions` (only applies to Expressions).
-5188        **opts: other options to use to parse the input expressions.
-5189
-5190    Returns:
-5191        Or: the new condition
-5192    """
-5193    return t.cast(Condition, _combine(expressions, Or, dialect, copy=copy, **opts))
+            
    5178def or_(
+5179    *expressions: t.Optional[ExpOrStr], dialect: DialectType = None, copy: bool = True, **opts
+5180) -> Condition:
+5181    """
+5182    Combine multiple conditions with an OR logical operator.
+5183
+5184    Example:
+5185        >>> or_("x=1", or_("y=1", "z=1")).sql()
+5186        'x = 1 OR (y = 1 OR z = 1)'
+5187
+5188    Args:
+5189        *expressions: the SQL code strings to parse.
+5190            If an Expression instance is passed, this is used as-is.
+5191        dialect: the dialect used to parse the input expression.
+5192        copy: whether or not to copy `expressions` (only applies to Expressions).
+5193        **opts: other options to use to parse the input expressions.
+5194
+5195    Returns:
+5196        Or: the new condition
+5197    """
+5198    return t.cast(Condition, _combine(expressions, Or, dialect, copy=copy, **opts))
 
    
 
 
@@ -50835,31 +50963,31 @@ If an Expression instance is passed, this is used as-is.
    - 
    5196def not_(expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts) -> Not:
-5197    """
-5198    Wrap a condition with a NOT operator.
-5199
-5200    Example:
-5201        >>> not_("this_suit='black'").sql()
-5202        "NOT this_suit = 'black'"
-5203
-5204    Args:
-5205        expression: the SQL code string to parse.
-5206            If an Expression instance is passed, this is used as-is.
-5207        dialect: the dialect used to parse the input expression.
-5208        copy: whether to copy the expression or not.
-5209        **opts: other options to use to parse the input expressions.
-5210
-5211    Returns:
-5212        The new condition.
-5213    """
-5214    this = condition(
-5215        expression,
-5216        dialect=dialect,
-5217        copy=copy,
-5218        **opts,
-5219    )
-5220    return Not(this=_wrap(this, Connector))
+            
    5201def not_(expression: ExpOrStr, dialect: DialectType = None, copy: bool = True, **opts) -> Not:
+5202    """
+5203    Wrap a condition with a NOT operator.
+5204
+5205    Example:
+5206        >>> not_("this_suit='black'").sql()
+5207        "NOT this_suit = 'black'"
+5208
+5209    Args:
+5210        expression: the SQL code string to parse.
+5211            If an Expression instance is passed, this is used as-is.
+5212        dialect: the dialect used to parse the input expression.
+5213        copy: whether to copy the expression or not.
+5214        **opts: other options to use to parse the input expressions.
+5215
+5216    Returns:
+5217        The new condition.
+5218    """
+5219    this = condition(
+5220        expression,
+5221        dialect=dialect,
+5222        copy=copy,
+5223        **opts,
+5224    )
+5225    return Not(this=_wrap(this, Connector))
 
    
 
 
@@ -50905,23 +51033,23 @@ If an Expression instance is passed, this is used as-is.
    - 
    5223def paren(expression: ExpOrStr, copy: bool = True) -> Paren:
-5224    """
-5225    Wrap an expression in parentheses.
-5226
-5227    Example:
-5228        >>> paren("5 + 3").sql()
-5229        '(5 + 3)'
-5230
-5231    Args:
-5232        expression: the SQL code string to parse.
-5233            If an Expression instance is passed, this is used as-is.
-5234        copy: whether to copy the expression or not.
+            
    5228def paren(expression: ExpOrStr, copy: bool = True) -> Paren:
+5229    """
+5230    Wrap an expression in parentheses.
+5231
+5232    Example:
+5233        >>> paren("5 + 3").sql()
+5234        '(5 + 3)'
 5235
-5236    Returns:
-5237        The wrapped expression.
-5238    """
-5239    return Paren(this=maybe_parse(expression, copy=copy))
+5236    Args:
+5237        expression: the SQL code string to parse.
+5238            If an Expression instance is passed, this is used as-is.
+5239        copy: whether to copy the expression or not.
+5240
+5241    Returns:
+5242        The wrapped expression.
+5243    """
+5244    return Paren(this=maybe_parse(expression, copy=copy))
 
    
 
 
@@ -50965,31 +51093,31 @@ If an Expression instance is passed, this is used as-is.
    - 
    5257def to_identifier(name, quoted=None, copy=True):
-5258    """Builds an identifier.
-5259
-5260    Args:
-5261        name: The name to turn into an identifier.
-5262        quoted: Whether or not force quote the identifier.
-5263        copy: Whether or not to copy a passed in Identefier node.
+            
    5262def to_identifier(name, quoted=None, copy=True):
+5263    """Builds an identifier.
 5264
-5265    Returns:
-5266        The identifier ast node.
-5267    """
-5268
-5269    if name is None:
-5270        return None
-5271
-5272    if isinstance(name, Identifier):
-5273        identifier = _maybe_copy(name, copy)
-5274    elif isinstance(name, str):
-5275        identifier = Identifier(
-5276            this=name,
-5277            quoted=not SAFE_IDENTIFIER_RE.match(name) if quoted is None else quoted,
-5278        )
-5279    else:
-5280        raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}")
-5281    return identifier
+5265    Args:
+5266        name: The name to turn into an identifier.
+5267        quoted: Whether or not force quote the identifier.
+5268        copy: Whether or not to copy a passed in Identefier node.
+5269
+5270    Returns:
+5271        The identifier ast node.
+5272    """
+5273
+5274    if name is None:
+5275        return None
+5276
+5277    if isinstance(name, Identifier):
+5278        identifier = _maybe_copy(name, copy)
+5279    elif isinstance(name, str):
+5280        identifier = Identifier(
+5281            this=name,
+5282            quoted=not SAFE_IDENTIFIER_RE.match(name) if quoted is None else quoted,
+5283        )
+5284    else:
+5285        raise ValueError(f"Name needs to be a string or an Identifier, got: {name.__class__}")
+5286    return identifier
 
    
 
 
@@ -51023,23 +51151,23 @@ If an Expression instance is passed, this is used as-is.
    - 
    5287def to_interval(interval: str | Literal) -> Interval:
-5288    """Builds an interval expression from a string like '1 day' or '5 months'."""
-5289    if isinstance(interval, Literal):
-5290        if not interval.is_string:
-5291            raise ValueError("Invalid interval string.")
-5292
-5293        interval = interval.this
-5294
-5295    interval_parts = INTERVAL_STRING_RE.match(interval)  # type: ignore
-5296
-5297    if not interval_parts:
-5298        raise ValueError("Invalid interval string.")
+            
    5292def to_interval(interval: str | Literal) -> Interval:
+5293    """Builds an interval expression from a string like '1 day' or '5 months'."""
+5294    if isinstance(interval, Literal):
+5295        if not interval.is_string:
+5296            raise ValueError("Invalid interval string.")
+5297
+5298        interval = interval.this
 5299
-5300    return Interval(
-5301        this=Literal.string(interval_parts.group(1)),
-5302        unit=Var(this=interval_parts.group(2)),
-5303    )
+5300    interval_parts = INTERVAL_STRING_RE.match(interval)  # type: ignore
+5301
+5302    if not interval_parts:
+5303        raise ValueError("Invalid interval string.")
+5304
+5305    return Interval(
+5306        this=Literal.string(interval_parts.group(1)),
+5307        unit=Var(this=interval_parts.group(2)),
+5308    )
 
    
 
 
@@ -51059,32 +51187,32 @@ If an Expression instance is passed, this is used as-is.
    - 
    5316def to_table(
-5317    sql_path: t.Optional[str | Table], dialect: DialectType = None, **kwargs
-5318) -> t.Optional[Table]:
-5319    """
-5320    Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional.
-5321    If a table is passed in then that table is returned.
-5322
-5323    Args:
-5324        sql_path: a `[catalog].[schema].[table]` string.
-5325        dialect: the source dialect according to which the table name will be parsed.
-5326        kwargs: the kwargs to instantiate the resulting `Table` expression with.
+            
    5321def to_table(
+5322    sql_path: t.Optional[str | Table], dialect: DialectType = None, **kwargs
+5323) -> t.Optional[Table]:
+5324    """
+5325    Create a table expression from a `[catalog].[schema].[table]` sql path. Catalog and schema are optional.
+5326    If a table is passed in then that table is returned.
 5327
-5328    Returns:
-5329        A table expression.
-5330    """
-5331    if sql_path is None or isinstance(sql_path, Table):
-5332        return sql_path
-5333    if not isinstance(sql_path, str):
-5334        raise ValueError(f"Invalid type provided for a table: {type(sql_path)}")
-5335
-5336    table = maybe_parse(sql_path, into=Table, dialect=dialect)
-5337    if table:
-5338        for k, v in kwargs.items():
-5339            table.set(k, v)
+5328    Args:
+5329        sql_path: a `[catalog].[schema].[table]` string.
+5330        dialect: the source dialect according to which the table name will be parsed.
+5331        kwargs: the kwargs to instantiate the resulting `Table` expression with.
+5332
+5333    Returns:
+5334        A table expression.
+5335    """
+5336    if sql_path is None or isinstance(sql_path, Table):
+5337        return sql_path
+5338    if not isinstance(sql_path, str):
+5339        raise ValueError(f"Invalid type provided for a table: {type(sql_path)}")
 5340
-5341    return table
+5341    table = maybe_parse(sql_path, into=Table, dialect=dialect)
+5342    if table:
+5343        for k, v in kwargs.items():
+5344            table.set(k, v)
+5345
+5346    return table
 
    
 
 
@@ -51119,22 +51247,22 @@ If a table is passed in then that table is returned.
    - 
    5344def to_column(sql_path: str | Column, **kwargs) -> Column:
-5345    """
-5346    Create a column from a `[table].[column]` sql path. Schema is optional.
-5347
-5348    If a column is passed in then that column is returned.
-5349
-5350    Args:
-5351        sql_path: `[table].[column]` string
-5352    Returns:
-5353        Table: A column expression
-5354    """
-5355    if sql_path is None or isinstance(sql_path, Column):
-5356        return sql_path
-5357    if not isinstance(sql_path, str):
-5358        raise ValueError(f"Invalid type provided for column: {type(sql_path)}")
-5359    return column(*reversed(sql_path.split(".")), **kwargs)  # type: ignore
+            
    5349def to_column(sql_path: str | Column, **kwargs) -> Column:
+5350    """
+5351    Create a column from a `[table].[column]` sql path. Schema is optional.
+5352
+5353    If a column is passed in then that column is returned.
+5354
+5355    Args:
+5356        sql_path: `[table].[column]` string
+5357    Returns:
+5358        Table: A column expression
+5359    """
+5360    if sql_path is None or isinstance(sql_path, Column):
+5361        return sql_path
+5362    if not isinstance(sql_path, str):
+5363        raise ValueError(f"Invalid type provided for column: {type(sql_path)}")
+5364    return column(*reversed(sql_path.split(".")), **kwargs)  # type: ignore
 
    
 
 
@@ -51168,61 +51296,61 @@ If a table is passed in then that table is returned.
    - 
    5362def alias_(
-5363    expression: ExpOrStr,
-5364    alias: str | Identifier,
-5365    table: bool | t.Sequence[str | Identifier] = False,
-5366    quoted: t.Optional[bool] = None,
-5367    dialect: DialectType = None,
-5368    copy: bool = True,
-5369    **opts,
-5370):
-5371    """Create an Alias expression.
-5372
-5373    Example:
-5374        >>> alias_('foo', 'bar').sql()
-5375        'foo AS bar'
-5376
-5377        >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()
-5378        '(SELECT 1, 2) AS bar(a, b)'
-5379
-5380    Args:
-5381        expression: the SQL code strings to parse.
-5382            If an Expression instance is passed, this is used as-is.
-5383        alias: the alias name to use. If the name has
-5384            special characters it is quoted.
-5385        table: Whether or not to create a table alias, can also be a list of columns.
-5386        quoted: whether or not to quote the alias
-5387        dialect: the dialect used to parse the input expression.
-5388        copy: Whether or not to copy the expression.
-5389        **opts: other options to use to parse the input expressions.
-5390
-5391    Returns:
-5392        Alias: the aliased expression
-5393    """
-5394    exp = maybe_parse(expression, dialect=dialect, copy=copy, **opts)
-5395    alias = to_identifier(alias, quoted=quoted)
-5396
-5397    if table:
-5398        table_alias = TableAlias(this=alias)
-5399        exp.set("alias", table_alias)
-5400
-5401        if not isinstance(table, bool):
-5402            for column in table:
-5403                table_alias.append("columns", to_identifier(column, quoted=quoted))
-5404
-5405        return exp
-5406
-5407    # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in
-5408    # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node
-5409    # for the complete Window expression.
-5410    #
-5411    # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls
-5412
-5413    if "alias" in exp.arg_types and not isinstance(exp, Window):
-5414        exp.set("alias", alias)
-5415        return exp
-5416    return Alias(this=exp, alias=alias)
+            
    5367def alias_(
+5368    expression: ExpOrStr,
+5369    alias: str | Identifier,
+5370    table: bool | t.Sequence[str | Identifier] = False,
+5371    quoted: t.Optional[bool] = None,
+5372    dialect: DialectType = None,
+5373    copy: bool = True,
+5374    **opts,
+5375):
+5376    """Create an Alias expression.
+5377
+5378    Example:
+5379        >>> alias_('foo', 'bar').sql()
+5380        'foo AS bar'
+5381
+5382        >>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()
+5383        '(SELECT 1, 2) AS bar(a, b)'
+5384
+5385    Args:
+5386        expression: the SQL code strings to parse.
+5387            If an Expression instance is passed, this is used as-is.
+5388        alias: the alias name to use. If the name has
+5389            special characters it is quoted.
+5390        table: Whether or not to create a table alias, can also be a list of columns.
+5391        quoted: whether or not to quote the alias
+5392        dialect: the dialect used to parse the input expression.
+5393        copy: Whether or not to copy the expression.
+5394        **opts: other options to use to parse the input expressions.
+5395
+5396    Returns:
+5397        Alias: the aliased expression
+5398    """
+5399    exp = maybe_parse(expression, dialect=dialect, copy=copy, **opts)
+5400    alias = to_identifier(alias, quoted=quoted)
+5401
+5402    if table:
+5403        table_alias = TableAlias(this=alias)
+5404        exp.set("alias", table_alias)
+5405
+5406        if not isinstance(table, bool):
+5407            for column in table:
+5408                table_alias.append("columns", to_identifier(column, quoted=quoted))
+5409
+5410        return exp
+5411
+5412    # We don't set the "alias" arg for Window expressions, because that would add an IDENTIFIER node in
+5413    # the AST, representing a "named_window" [1] construct (eg. bigquery). What we want is an ALIAS node
+5414    # for the complete Window expression.
+5415    #
+5416    # [1]: https://cloud.google.com/bigquery/docs/reference/standard-sql/window-function-calls
+5417
+5418    if "alias" in exp.arg_types and not isinstance(exp, Window):
+5419        exp.set("alias", alias)
+5420        return exp
+5421    return Alias(this=exp, alias=alias)
 
    
 
 
@@ -51278,32 +51406,32 @@ special characters it is quoted.
    - 
    5419def subquery(
-5420    expression: ExpOrStr,
-5421    alias: t.Optional[Identifier | str] = None,
-5422    dialect: DialectType = None,
-5423    **opts,
-5424) -> Select:
-5425    """
-5426    Build a subquery expression.
-5427
-5428    Example:
-5429        >>> subquery('select x from tbl', 'bar').select('x').sql()
-5430        'SELECT x FROM (SELECT x FROM tbl) AS bar'
-5431
-5432    Args:
-5433        expression: the SQL code strings to parse.
-5434            If an Expression instance is passed, this is used as-is.
-5435        alias: the alias name to use.
-5436        dialect: the dialect used to parse the input expression.
-5437        **opts: other options to use to parse the input expressions.
-5438
-5439    Returns:
-5440        A new Select instance with the subquery expression included.
-5441    """
-5442
-5443    expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias)
-5444    return Select().from_(expression, dialect=dialect, **opts)
+            
    5424def subquery(
+5425    expression: ExpOrStr,
+5426    alias: t.Optional[Identifier | str] = None,
+5427    dialect: DialectType = None,
+5428    **opts,
+5429) -> Select:
+5430    """
+5431    Build a subquery expression.
+5432
+5433    Example:
+5434        >>> subquery('select x from tbl', 'bar').select('x').sql()
+5435        'SELECT x FROM (SELECT x FROM tbl) AS bar'
+5436
+5437    Args:
+5438        expression: the SQL code strings to parse.
+5439            If an Expression instance is passed, this is used as-is.
+5440        alias: the alias name to use.
+5441        dialect: the dialect used to parse the input expression.
+5442        **opts: other options to use to parse the input expressions.
+5443
+5444    Returns:
+5445        A new Select instance with the subquery expression included.
+5446    """
+5447
+5448    expression = maybe_parse(expression, dialect=dialect, **opts).subquery(alias)
+5449    return Select().from_(expression, dialect=dialect, **opts)
 
    
 
 
@@ -51349,32 +51477,32 @@ If an Expression instance is passed, this is used as-is.
    - 
    5447def column(
-5448    col: str | Identifier,
-5449    table: t.Optional[str | Identifier] = None,
-5450    db: t.Optional[str | Identifier] = None,
-5451    catalog: t.Optional[str | Identifier] = None,
-5452    quoted: t.Optional[bool] = None,
-5453) -> Column:
-5454    """
-5455    Build a Column.
-5456
-5457    Args:
-5458        col: Column name.
-5459        table: Table name.
-5460        db: Database name.
-5461        catalog: Catalog name.
-5462        quoted: Whether to force quotes on the column's identifiers.
-5463
-5464    Returns:
-5465        The new Column instance.
-5466    """
-5467    return Column(
-5468        this=to_identifier(col, quoted=quoted),
-5469        table=to_identifier(table, quoted=quoted),
-5470        db=to_identifier(db, quoted=quoted),
-5471        catalog=to_identifier(catalog, quoted=quoted),
-5472    )
+            
    5452def column(
+5453    col: str | Identifier,
+5454    table: t.Optional[str | Identifier] = None,
+5455    db: t.Optional[str | Identifier] = None,
+5456    catalog: t.Optional[str | Identifier] = None,
+5457    quoted: t.Optional[bool] = None,
+5458) -> Column:
+5459    """
+5460    Build a Column.
+5461
+5462    Args:
+5463        col: Column name.
+5464        table: Table name.
+5465        db: Database name.
+5466        catalog: Catalog name.
+5467        quoted: Whether to force quotes on the column's identifiers.
+5468
+5469    Returns:
+5470        The new Column instance.
+5471    """
+5472    return Column(
+5473        this=to_identifier(col, quoted=quoted),
+5474        table=to_identifier(table, quoted=quoted),
+5475        db=to_identifier(db, quoted=quoted),
+5476        catalog=to_identifier(catalog, quoted=quoted),
+5477    )
 
    
 
 
@@ -51410,22 +51538,22 @@ If an Expression instance is passed, this is used as-is.
    - 
    5475def cast(expression: ExpOrStr, to: str | DataType | DataType.Type, **opts) -> Cast:
-5476    """Cast an expression to a data type.
-5477
-5478    Example:
-5479        >>> cast('x + 1', 'int').sql()
-5480        'CAST(x + 1 AS INT)'
-5481
-5482    Args:
-5483        expression: The expression to cast.
-5484        to: The datatype to cast to.
-5485
-5486    Returns:
-5487        The new Cast instance.
-5488    """
-5489    expression = maybe_parse(expression, **opts)
-5490    return Cast(this=expression, to=DataType.build(to, **opts))
+            
    5480def cast(expression: ExpOrStr, to: str | DataType | DataType.Type, **opts) -> Cast:
+5481    """Cast an expression to a data type.
+5482
+5483    Example:
+5484        >>> cast('x + 1', 'int').sql()
+5485        'CAST(x + 1 AS INT)'
+5486
+5487    Args:
+5488        expression: The expression to cast.
+5489        to: The datatype to cast to.
+5490
+5491    Returns:
+5492        The new Cast instance.
+5493    """
+5494    expression = maybe_parse(expression, **opts)
+5495    return Cast(this=expression, to=DataType.build(to, **opts))
 
    
 
 
@@ -51468,31 +51596,31 @@ If an Expression instance is passed, this is used as-is.
    - 
    5493def table_(
-5494    table: Identifier | str,
-5495    db: t.Optional[Identifier | str] = None,
-5496    catalog: t.Optional[Identifier | str] = None,
-5497    quoted: t.Optional[bool] = None,
-5498    alias: t.Optional[Identifier | str] = None,
-5499) -> Table:
-5500    """Build a Table.
-5501
-5502    Args:
-5503        table: Table name.
-5504        db: Database name.
-5505        catalog: Catalog name.
-5506        quote: Whether to force quotes on the table's identifiers.
-5507        alias: Table's alias.
-5508
-5509    Returns:
-5510        The new Table instance.
-5511    """
-5512    return Table(
-5513        this=to_identifier(table, quoted=quoted),
-5514        db=to_identifier(db, quoted=quoted),
-5515        catalog=to_identifier(catalog, quoted=quoted),
-5516        alias=TableAlias(this=to_identifier(alias)) if alias else None,
-5517    )
+            
    5498def table_(
+5499    table: Identifier | str,
+5500    db: t.Optional[Identifier | str] = None,
+5501    catalog: t.Optional[Identifier | str] = None,
+5502    quoted: t.Optional[bool] = None,
+5503    alias: t.Optional[Identifier | str] = None,
+5504) -> Table:
+5505    """Build a Table.
+5506
+5507    Args:
+5508        table: Table name.
+5509        db: Database name.
+5510        catalog: Catalog name.
+5511        quote: Whether to force quotes on the table's identifiers.
+5512        alias: Table's alias.
+5513
+5514    Returns:
+5515        The new Table instance.
+5516    """
+5517    return Table(
+5518        this=to_identifier(table, quoted=quoted),
+5519        db=to_identifier(db, quoted=quoted),
+5520        catalog=to_identifier(catalog, quoted=quoted),
+5521        alias=TableAlias(this=to_identifier(alias)) if alias else None,
+5522    )
 
    
 
 
@@ -51528,37 +51656,37 @@ If an Expression instance is passed, this is used as-is.
    - 
    5520def values(
-5521    values: t.Iterable[t.Tuple[t.Any, ...]],
-5522    alias: t.Optional[str] = None,
-5523    columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None,
-5524) -> Values:
-5525    """Build VALUES statement.
-5526
-5527    Example:
-5528        >>> values([(1, '2')]).sql()
-5529        "VALUES (1, '2')"
-5530
-5531    Args:
-5532        values: values statements that will be converted to SQL
-5533        alias: optional alias
-5534        columns: Optional list of ordered column names or ordered dictionary of column names to types.
-5535         If either are provided then an alias is also required.
-5536
-5537    Returns:
-5538        Values: the Values expression object
-5539    """
-5540    if columns and not alias:
-5541        raise ValueError("Alias is required when providing columns")
-5542
-5543    return Values(
-5544        expressions=[convert(tup) for tup in values],
-5545        alias=(
-5546            TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns])
-5547            if columns
-5548            else (TableAlias(this=to_identifier(alias)) if alias else None)
-5549        ),
-5550    )
+            
    5525def values(
+5526    values: t.Iterable[t.Tuple[t.Any, ...]],
+5527    alias: t.Optional[str] = None,
+5528    columns: t.Optional[t.Iterable[str] | t.Dict[str, DataType]] = None,
+5529) -> Values:
+5530    """Build VALUES statement.
+5531
+5532    Example:
+5533        >>> values([(1, '2')]).sql()
+5534        "VALUES (1, '2')"
+5535
+5536    Args:
+5537        values: values statements that will be converted to SQL
+5538        alias: optional alias
+5539        columns: Optional list of ordered column names or ordered dictionary of column names to types.
+5540         If either are provided then an alias is also required.
+5541
+5542    Returns:
+5543        Values: the Values expression object
+5544    """
+5545    if columns and not alias:
+5546        raise ValueError("Alias is required when providing columns")
+5547
+5548    return Values(
+5549        expressions=[convert(tup) for tup in values],
+5550        alias=(
+5551            TableAlias(this=to_identifier(alias), columns=[to_identifier(x) for x in columns])
+5552            if columns
+5553            else (TableAlias(this=to_identifier(alias)) if alias else None)
+5554        ),
+5555    )
 
    
 
 
@@ -51603,28 +51731,28 @@ If either are provided then an alias is also required.
    - 
    5553def var(name: t.Optional[ExpOrStr]) -> Var:
-5554    """Build a SQL variable.
-5555
-5556    Example:
-5557        >>> repr(var('x'))
-5558        '(VAR this: x)'
-5559
-5560        >>> repr(var(column('x', table='y')))
-5561        '(VAR this: x)'
-5562
-5563    Args:
-5564        name: The name of the var or an expression who's name will become the var.
-5565
-5566    Returns:
-5567        The new variable node.
-5568    """
-5569    if not name:
-5570        raise ValueError("Cannot convert empty name into var.")
-5571
-5572    if isinstance(name, Expression):
-5573        name = name.name
-5574    return Var(this=name)
+            
    5558def var(name: t.Optional[ExpOrStr]) -> Var:
+5559    """Build a SQL variable.
+5560
+5561    Example:
+5562        >>> repr(var('x'))
+5563        '(VAR this: x)'
+5564
+5565        >>> repr(var(column('x', table='y')))
+5566        '(VAR this: x)'
+5567
+5568    Args:
+5569        name: The name of the var or an expression who's name will become the var.
+5570
+5571    Returns:
+5572        The new variable node.
+5573    """
+5574    if not name:
+5575        raise ValueError("Cannot convert empty name into var.")
+5576
+5577    if isinstance(name, Expression):
+5578        name = name.name
+5579    return Var(this=name)
 
    
 
 
@@ -51672,24 +51800,24 @@ If either are provided then an alias is also required.
    - 
    5577def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable:
-5578    """Build ALTER TABLE... RENAME... expression
-5579
-5580    Args:
-5581        old_name: The old name of the table
-5582        new_name: The new name of the table
-5583
-5584    Returns:
-5585        Alter table expression
-5586    """
-5587    old_table = to_table(old_name)
-5588    new_table = to_table(new_name)
-5589    return AlterTable(
-5590        this=old_table,
-5591        actions=[
-5592            RenameTable(this=new_table),
-5593        ],
-5594    )
+            
    5582def rename_table(old_name: str | Table, new_name: str | Table) -> AlterTable:
+5583    """Build ALTER TABLE... RENAME... expression
+5584
+5585    Args:
+5586        old_name: The old name of the table
+5587        new_name: The new name of the table
+5588
+5589    Returns:
+5590        Alter table expression
+5591    """
+5592    old_table = to_table(old_name)
+5593    new_table = to_table(new_name)
+5594    return AlterTable(
+5595        this=old_table,
+5596        actions=[
+5597            RenameTable(this=new_table),
+5598        ],
+5599    )
 
    
 
 
@@ -51722,46 +51850,46 @@ If either are provided then an alias is also required.
    - 
    5597def convert(value: t.Any, copy: bool = False) -> Expression:
-5598    """Convert a python value into an expression object.
-5599
-5600    Raises an error if a conversion is not possible.
-5601
-5602    Args:
-5603        value: A python object.
-5604        copy: Whether or not to copy `value` (only applies to Expressions and collections).
-5605
-5606    Returns:
-5607        Expression: the equivalent expression object.
-5608    """
-5609    if isinstance(value, Expression):
-5610        return _maybe_copy(value, copy)
-5611    if isinstance(value, str):
-5612        return Literal.string(value)
-5613    if isinstance(value, bool):
-5614        return Boolean(this=value)
-5615    if value is None or (isinstance(value, float) and math.isnan(value)):
-5616        return NULL
-5617    if isinstance(value, numbers.Number):
-5618        return Literal.number(value)
-5619    if isinstance(value, datetime.datetime):
-5620        datetime_literal = Literal.string(
-5621            (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat()
-5622        )
-5623        return TimeStrToTime(this=datetime_literal)
-5624    if isinstance(value, datetime.date):
-5625        date_literal = Literal.string(value.strftime("%Y-%m-%d"))
-5626        return DateStrToDate(this=date_literal)
-5627    if isinstance(value, tuple):
-5628        return Tuple(expressions=[convert(v, copy=copy) for v in value])
-5629    if isinstance(value, list):
-5630        return Array(expressions=[convert(v, copy=copy) for v in value])
-5631    if isinstance(value, dict):
-5632        return Map(
-5633            keys=[convert(k, copy=copy) for k in value],
-5634            values=[convert(v, copy=copy) for v in value.values()],
-5635        )
-5636    raise ValueError(f"Cannot convert {value}")
+            
    5602def convert(value: t.Any, copy: bool = False) -> Expression:
+5603    """Convert a python value into an expression object.
+5604
+5605    Raises an error if a conversion is not possible.
+5606
+5607    Args:
+5608        value: A python object.
+5609        copy: Whether or not to copy `value` (only applies to Expressions and collections).
+5610
+5611    Returns:
+5612        Expression: the equivalent expression object.
+5613    """
+5614    if isinstance(value, Expression):
+5615        return _maybe_copy(value, copy)
+5616    if isinstance(value, str):
+5617        return Literal.string(value)
+5618    if isinstance(value, bool):
+5619        return Boolean(this=value)
+5620    if value is None or (isinstance(value, float) and math.isnan(value)):
+5621        return NULL
+5622    if isinstance(value, numbers.Number):
+5623        return Literal.number(value)
+5624    if isinstance(value, datetime.datetime):
+5625        datetime_literal = Literal.string(
+5626            (value if value.tzinfo else value.replace(tzinfo=datetime.timezone.utc)).isoformat()
+5627        )
+5628        return TimeStrToTime(this=datetime_literal)
+5629    if isinstance(value, datetime.date):
+5630        date_literal = Literal.string(value.strftime("%Y-%m-%d"))
+5631        return DateStrToDate(this=date_literal)
+5632    if isinstance(value, tuple):
+5633        return Tuple(expressions=[convert(v, copy=copy) for v in value])
+5634    if isinstance(value, list):
+5635        return Array(expressions=[convert(v, copy=copy) for v in value])
+5636    if isinstance(value, dict):
+5637        return Map(
+5638            keys=[convert(k, copy=copy) for k in value],
+5639            values=[convert(v, copy=copy) for v in value.values()],
+5640        )
+5641    raise ValueError(f"Cannot convert {value}")
 
    
 
 
@@ -51796,26 +51924,26 @@ If either are provided then an alias is also required.
    - 
    5639def replace_children(expression: Expression, fun: t.Callable, *args, **kwargs) -> None:
-5640    """
-5641    Replace children of an expression with the result of a lambda fun(child) -> exp.
-5642    """
-5643    for k, v in expression.args.items():
-5644        is_list_arg = type(v) is list
-5645
-5646        child_nodes = v if is_list_arg else [v]
-5647        new_child_nodes = []
-5648
-5649        for cn in child_nodes:
-5650            if isinstance(cn, Expression):
-5651                for child_node in ensure_collection(fun(cn, *args, **kwargs)):
-5652                    new_child_nodes.append(child_node)
-5653                    child_node.parent = expression
-5654                    child_node.arg_key = k
-5655            else:
-5656                new_child_nodes.append(cn)
-5657
-5658        expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0)
+            
    5644def replace_children(expression: Expression, fun: t.Callable, *args, **kwargs) -> None:
+5645    """
+5646    Replace children of an expression with the result of a lambda fun(child) -> exp.
+5647    """
+5648    for k, v in expression.args.items():
+5649        is_list_arg = type(v) is list
+5650
+5651        child_nodes = v if is_list_arg else [v]
+5652        new_child_nodes = []
+5653
+5654        for cn in child_nodes:
+5655            if isinstance(cn, Expression):
+5656                for child_node in ensure_collection(fun(cn, *args, **kwargs)):
+5657                    new_child_nodes.append(child_node)
+5658                    child_node.parent = expression
+5659                    child_node.arg_key = k
+5660            else:
+5661                new_child_nodes.append(cn)
+5662
+5663        expression.args[k] = new_child_nodes if is_list_arg else seq_get(new_child_nodes, 0)
 
    
 
 
@@ -51829,28 +51957,33 @@ If either are provided then an alias is also required.
 
    
             
         def
-        column_table_names(expression: sqlglot.expressions.Expression) -> List[str]:
+        column_table_names(	expression: sqlglot.expressions.Expression,	exclude: str = '') -> Set[str]:
 
                 
 
     
    
     
-            
    5661def column_table_names(expression: Expression) -> t.List[str]:
-5662    """
-5663    Return all table names referenced through columns in an expression.
-5664
-5665    Example:
-5666        >>> import sqlglot
-5667        >>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))
-5668        ['c', 'a']
+            
    5666def column_table_names(expression: Expression, exclude: str = "") -> t.Set[str]:
+5667    """
+5668    Return all table names referenced through columns in an expression.
 5669
-5670    Args:
-5671        expression: expression to find table names.
-5672
-5673    Returns:
-5674        A list of unique names.
-5675    """
-5676    return list(dict.fromkeys(column.table for column in expression.find_all(Column)))
+5670    Example:
+5671        >>> import sqlglot
+5672        >>> sorted(column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e")))
+5673        ['a', 'c']
+5674
+5675    Args:
+5676        expression: expression to find table names.
+5677        exclude: a table name to exclude
+5678
+5679    Returns:
+5680        A list of unique names.
+5681    """
+5682    return {
+5683        table
+5684        for table in (column.table for column in expression.find_all(Column))
+5685        if table and table != exclude
+5686    }
 
    
 
 
@@ -51861,8 +51994,8 @@ If either are provided then an alias is also required.
 
    
   
    
 
    >>> import sqlglot
->>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))
-['c', 'a']
+>>> sorted(column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e")))
+['a', 'c']
 
    
   
    
 
    
@@ -51871,6 +52004,7 @@ If either are provided then an alias is also required.
 
 
      
 
    • expression:  expression to find table names.
      • 
+
    • exclude:  a table name to exclude
      • 
 
    
 
 
    Returns:
    
@@ -51893,27 +52027,27 @@ If either are provided then an alias is also required.
 
     
    
     
-            
    5679def table_name(table: Table | str) -> str:
-5680    """Get the full name of a table as a string.
-5681
-5682    Args:
-5683        table: table expression node or string.
-5684
-5685    Examples:
-5686        >>> from sqlglot import exp, parse_one
-5687        >>> table_name(parse_one("select * from a.b.c").find(exp.Table))
-5688        'a.b.c'
-5689
-5690    Returns:
-5691        The table name.
-5692    """
-5693
-5694    table = maybe_parse(table, into=Table)
-5695
-5696    if not table:
-5697        raise ValueError(f"Cannot parse {table}")
-5698
-5699    return ".".join(part for part in (table.text("catalog"), table.text("db"), table.name) if part)
+            
    5689def table_name(table: Table | str) -> str:
+5690    """Get the full name of a table as a string.
+5691
+5692    Args:
+5693        table: table expression node or string.
+5694
+5695    Examples:
+5696        >>> from sqlglot import exp, parse_one
+5697        >>> table_name(parse_one("select * from a.b.c").find(exp.Table))
+5698        'a.b.c'
+5699
+5700    Returns:
+5701        The table name.
+5702    """
+5703
+5704    table = maybe_parse(table, into=Table)
+5705
+5706    if not table:
+5707        raise ValueError(f"Cannot parse {table}")
+5708
+5709    return ".".join(part for part in (table.text("catalog"), table.text("db"), table.name) if part)
 
    
 
 
@@ -51956,34 +52090,34 @@ If either are provided then an alias is also required.
 
     
    
     
-            
    5702def replace_tables(expression: E, mapping: t.Dict[str, str], copy: bool = True) -> E:
-5703    """Replace all tables in expression according to the mapping.
-5704
-5705    Args:
-5706        expression: expression node to be transformed and replaced.
-5707        mapping: mapping of table names.
-5708        copy: whether or not to copy the expression.
-5709
-5710    Examples:
-5711        >>> from sqlglot import exp, parse_one
-5712        >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()
-5713        'SELECT * FROM c'
+            
    5712def replace_tables(expression: E, mapping: t.Dict[str, str], copy: bool = True) -> E:
+5713    """Replace all tables in expression according to the mapping.
 5714
-5715    Returns:
-5716        The mapped expression.
-5717    """
-5718
-5719    def _replace_tables(node: Expression) -> Expression:
-5720        if isinstance(node, Table):
-5721            new_name = mapping.get(table_name(node))
-5722            if new_name:
-5723                return to_table(
-5724                    new_name,
-5725                    **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")},
-5726                )
-5727        return node
+5715    Args:
+5716        expression: expression node to be transformed and replaced.
+5717        mapping: mapping of table names.
+5718        copy: whether or not to copy the expression.
+5719
+5720    Examples:
+5721        >>> from sqlglot import exp, parse_one
+5722        >>> replace_tables(parse_one("select * from a.b"), {"a.b": "c"}).sql()
+5723        'SELECT * FROM c'
+5724
+5725    Returns:
+5726        The mapped expression.
+5727    """
 5728
-5729    return expression.transform(_replace_tables, copy=copy)
+5729    def _replace_tables(node: Expression) -> Expression:
+5730        if isinstance(node, Table):
+5731            new_name = mapping.get(table_name(node))
+5732            if new_name:
+5733                return to_table(
+5734                    new_name,
+5735                    **{k: v for k, v in node.args.items() if k not in ("this", "db", "catalog")},
+5736                )
+5737        return node
+5738
+5739    return expression.transform(_replace_tables, copy=copy)
 
    
 
 
@@ -52028,40 +52162,40 @@ If either are provided then an alias is also required.
 
     
    
     
-            
    5732def replace_placeholders(expression: Expression, *args, **kwargs) -> Expression:
-5733    """Replace placeholders in an expression.
-5734
-5735    Args:
-5736        expression: expression node to be transformed and replaced.
-5737        args: positional names that will substitute unnamed placeholders in the given order.
-5738        kwargs: keyword arguments that will substitute named placeholders.
-5739
-5740    Examples:
-5741        >>> from sqlglot import exp, parse_one
-5742        >>> replace_placeholders(
-5743        ...     parse_one("select * from :tbl where ? = ?"),
-5744        ...     exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo")
-5745        ... ).sql()
-5746        "SELECT * FROM foo WHERE str_col = 'b'"
-5747
-5748    Returns:
-5749        The mapped expression.
-5750    """
-5751
-5752    def _replace_placeholders(node: Expression, args, **kwargs) -> Expression:
-5753        if isinstance(node, Placeholder):
-5754            if node.name:
-5755                new_name = kwargs.get(node.name)
-5756                if new_name:
-5757                    return convert(new_name)
-5758            else:
-5759                try:
-5760                    return convert(next(args))
-5761                except StopIteration:
-5762                    pass
-5763        return node
-5764
-5765    return expression.transform(_replace_placeholders, iter(args), **kwargs)
+            
    5742def replace_placeholders(expression: Expression, *args, **kwargs) -> Expression:
+5743    """Replace placeholders in an expression.
+5744
+5745    Args:
+5746        expression: expression node to be transformed and replaced.
+5747        args: positional names that will substitute unnamed placeholders in the given order.
+5748        kwargs: keyword arguments that will substitute named placeholders.
+5749
+5750    Examples:
+5751        >>> from sqlglot import exp, parse_one
+5752        >>> replace_placeholders(
+5753        ...     parse_one("select * from :tbl where ? = ?"),
+5754        ...     exp.to_identifier("str_col"), "b", tbl=exp.to_identifier("foo")
+5755        ... ).sql()
+5756        "SELECT * FROM foo WHERE str_col = 'b'"
+5757
+5758    Returns:
+5759        The mapped expression.
+5760    """
+5761
+5762    def _replace_placeholders(node: Expression, args, **kwargs) -> Expression:
+5763        if isinstance(node, Placeholder):
+5764            if node.name:
+5765                new_name = kwargs.get(node.name)
+5766                if new_name:
+5767                    return convert(new_name)
+5768            else:
+5769                try:
+5770                    return convert(next(args))
+5771                except StopIteration:
+5772                    pass
+5773        return node
+5774
+5775    return expression.transform(_replace_placeholders, iter(args), **kwargs)
 
    
 
 
@@ -52109,39 +52243,39 @@ If either are provided then an alias is also required.
 
     
    
     
-            
    5768def expand(
-5769    expression: Expression, sources: t.Dict[str, Subqueryable], copy: bool = True
-5770) -> Expression:
-5771    """Transforms an expression by expanding all referenced sources into subqueries.
-5772
-5773    Examples:
-5774        >>> from sqlglot import parse_one
-5775        >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()
-5776        'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'
-5777
-5778        >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql()
-5779        'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */'
-5780
-5781    Args:
-5782        expression: The expression to expand.
-5783        sources: A dictionary of name to Subqueryables.
-5784        copy: Whether or not to copy the expression during transformation. Defaults to True.
-5785
-5786    Returns:
-5787        The transformed expression.
-5788    """
-5789
-5790    def _expand(node: Expression):
-5791        if isinstance(node, Table):
-5792            name = table_name(node)
-5793            source = sources.get(name)
-5794            if source:
-5795                subquery = source.subquery(node.alias or name)
-5796                subquery.comments = [f"source: {name}"]
-5797                return subquery.transform(_expand, copy=False)
-5798        return node
+            
    5778def expand(
+5779    expression: Expression, sources: t.Dict[str, Subqueryable], copy: bool = True
+5780) -> Expression:
+5781    """Transforms an expression by expanding all referenced sources into subqueries.
+5782
+5783    Examples:
+5784        >>> from sqlglot import parse_one
+5785        >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y")}).sql()
+5786        'SELECT * FROM (SELECT * FROM y) AS z /* source: x */'
+5787
+5788        >>> expand(parse_one("select * from x AS z"), {"x": parse_one("select * from y"), "y": parse_one("select * from z")}).sql()
+5789        'SELECT * FROM (SELECT * FROM (SELECT * FROM z) AS y /* source: y */) AS z /* source: x */'
+5790
+5791    Args:
+5792        expression: The expression to expand.
+5793        sources: A dictionary of name to Subqueryables.
+5794        copy: Whether or not to copy the expression during transformation. Defaults to True.
+5795
+5796    Returns:
+5797        The transformed expression.
+5798    """
 5799
-5800    return expression.transform(_expand, copy=copy)
+5800    def _expand(node: Expression):
+5801        if isinstance(node, Table):
+5802            name = table_name(node)
+5803            source = sources.get(name)
+5804            if source:
+5805                subquery = source.subquery(node.alias or name)
+5806                subquery.comments = [f"source: {name}"]
+5807                return subquery.transform(_expand, copy=False)
+5808        return node
+5809
+5810    return expression.transform(_expand, copy=copy)
 
    
 
 
@@ -52192,51 +52326,51 @@ If either are provided then an alias is also required.
 
     
    
     
-            
    5803def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func:
-5804    """
-5805    Returns a Func expression.
-5806
-5807    Examples:
-5808        >>> func("abs", 5).sql()
-5809        'ABS(5)'
-5810
-5811        >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()
-5812        'CAST(5 AS DOUBLE)'
-5813
-5814    Args:
-5815        name: the name of the function to build.
-5816        args: the args used to instantiate the function of interest.
-5817        dialect: the source dialect.
-5818        kwargs: the kwargs used to instantiate the function of interest.
-5819
-5820    Note:
-5821        The arguments `args` and `kwargs` are mutually exclusive.
-5822
-5823    Returns:
-5824        An instance of the function of interest, or an anonymous function, if `name` doesn't
-5825        correspond to an existing `sqlglot.expressions.Func` class.
-5826    """
-5827    if args and kwargs:
-5828        raise ValueError("Can't use both args and kwargs to instantiate a function.")
+            
    5813def func(name: str, *args, dialect: DialectType = None, **kwargs) -> Func:
+5814    """
+5815    Returns a Func expression.
+5816
+5817    Examples:
+5818        >>> func("abs", 5).sql()
+5819        'ABS(5)'
+5820
+5821        >>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()
+5822        'CAST(5 AS DOUBLE)'
+5823
+5824    Args:
+5825        name: the name of the function to build.
+5826        args: the args used to instantiate the function of interest.
+5827        dialect: the source dialect.
+5828        kwargs: the kwargs used to instantiate the function of interest.
 5829
-5830    from sqlglot.dialects.dialect import Dialect
-5831
-5832    converted: t.List[Expression] = [maybe_parse(arg, dialect=dialect) for arg in args]
-5833    kwargs = {key: maybe_parse(value, dialect=dialect) for key, value in kwargs.items()}
-5834
-5835    parser = Dialect.get_or_raise(dialect)().parser()
-5836    from_args_list = parser.FUNCTIONS.get(name.upper())
-5837
-5838    if from_args_list:
-5839        function = from_args_list(converted) if converted else from_args_list.__self__(**kwargs)  # type: ignore
-5840    else:
-5841        kwargs = kwargs or {"expressions": converted}
-5842        function = Anonymous(this=name, **kwargs)
-5843
-5844    for error_message in function.error_messages(converted):
-5845        raise ValueError(error_message)
-5846
-5847    return function
+5830    Note:
+5831        The arguments `args` and `kwargs` are mutually exclusive.
+5832
+5833    Returns:
+5834        An instance of the function of interest, or an anonymous function, if `name` doesn't
+5835        correspond to an existing `sqlglot.expressions.Func` class.
+5836    """
+5837    if args and kwargs:
+5838        raise ValueError("Can't use both args and kwargs to instantiate a function.")
+5839
+5840    from sqlglot.dialects.dialect import Dialect
+5841
+5842    converted: t.List[Expression] = [maybe_parse(arg, dialect=dialect) for arg in args]
+5843    kwargs = {key: maybe_parse(value, dialect=dialect) for key, value in kwargs.items()}
+5844
+5845    parser = Dialect.get_or_raise(dialect)().parser()
+5846    from_args_list = parser.FUNCTIONS.get(name.upper())
+5847
+5848    if from_args_list:
+5849        function = from_args_list(converted) if converted else from_args_list.__self__(**kwargs)  # type: ignore
+5850    else:
+5851        kwargs = kwargs or {"expressions": converted}
+5852        function = Anonymous(this=name, **kwargs)
+5853
+5854    for error_message in function.error_messages(converted):
+5855        raise ValueError(error_message)
+5856
+5857    return function
 
    
 
 
@@ -52294,11 +52428,11 @@ If either are provided then an alias is also required.
 
     
    
     
-            
    5850def true() -> Boolean:
-5851    """
-5852    Returns a true Boolean expression.
-5853    """
-5854    return Boolean(this=True)
+            
    5860def true() -> Boolean:
+5861    """
+5862    Returns a true Boolean expression.
+5863    """
+5864    return Boolean(this=True)
 
    
 
 
@@ -52318,11 +52452,11 @@ If either are provided then an alias is also required.
 
     
    
     
-            
    5857def false() -> Boolean:
-5858    """
-5859    Returns a false Boolean expression.
-5860    """
-5861    return Boolean(this=False)
+            
    5867def false() -> Boolean:
+5868    """
+5869    Returns a false Boolean expression.
+5870    """
+5871    return Boolean(this=False)
 
    
 
 
@@ -52342,11 +52476,11 @@ If either are provided then an alias is also required.
 
     
    
     
-            
    5864def null() -> Null:
-5865    """
-5866    Returns a Null expression.
-5867    """
-5868    return Null()
+            
    5874def null() -> Null:
+5875    """
+5876    Returns a Null expression.
+5877    """
+5878    return Null()
 
    
 
 
diff --git a/docs/sqlglot/generator.html b/docs/sqlglot/generator.html
index 3ca0cff..6944156 100644
--- a/docs/sqlglot/generator.html
+++ b/docs/sqlglot/generator.html
@@ -36,6 +36,9 @@
                         
  • 
                                 Generator
                         
    • 
+                        
  • 
+                                can_identify
+                        
    • 
                         
  • 
                                 generate
                         
    • 
@@ -327,6 +330,9 @@
                         
  • 
                                 literal_sql
                         
    • 
+                        
  • 
+                                escape_str
+                        
    • 
                         
  • 
                                 loaddata_sql
                         
    • 
@@ -786,7 +792,7 @@
        5
    6from sqlglot import exp
    7from sqlglot.errors import ErrorLevel, UnsupportedError, concat_messages
-   8from sqlglot.helper import apply_index_offset, csv, seq_get, should_identify
+   8from sqlglot.helper import apply_index_offset, csv, seq_get
    9from sqlglot.time import format_time
   10from sqlglot.tokens import TokenType
   11
@@ -837,2322 +843,2355 @@
   56        exp.TsOrDsAdd: lambda self, e: self.func(
   57            "TS_OR_DS_ADD", e.this, e.expression, exp.Literal.string(e.text("unit"))
   58        ),
-  59        exp.VarMap: lambda self, e: self.func("MAP", e.args["keys"], e.args["values"]),
-  60        exp.CharacterSetProperty: lambda self, e: f"{'DEFAULT ' if e.args.get('default') else ''}CHARACTER SET={self.sql(e, 'this')}",
-  61        exp.ExecuteAsProperty: lambda self, e: self.naked_property(e),
-  62        exp.ExternalProperty: lambda self, e: "EXTERNAL",
-  63        exp.LanguageProperty: lambda self, e: self.naked_property(e),
-  64        exp.LocationProperty: lambda self, e: self.naked_property(e),
-  65        exp.LogProperty: lambda self, e: f"{'NO ' if e.args.get('no') else ''}LOG",
-  66        exp.MaterializedProperty: lambda self, e: "MATERIALIZED",
-  67        exp.NoPrimaryIndexProperty: lambda self, e: "NO PRIMARY INDEX",
-  68        exp.OnCommitProperty: lambda self, e: f"ON COMMIT {'DELETE' if e.args.get('delete') else 'PRESERVE'} ROWS",
-  69        exp.ReturnsProperty: lambda self, e: self.naked_property(e),
-  70        exp.SetProperty: lambda self, e: f"{'MULTI' if e.args.get('multi') else ''}SET",
-  71        exp.SettingsProperty: lambda self, e: f"SETTINGS{self.seg('')}{(self.expressions(e))}",
-  72        exp.SqlSecurityProperty: lambda self, e: f"SQL SECURITY {'DEFINER' if e.args.get('definer') else 'INVOKER'}",
-  73        exp.TemporaryProperty: lambda self, e: f"TEMPORARY",
-  74        exp.ToTableProperty: lambda self, e: f"TO {self.sql(e.this)}",
-  75        exp.TransientProperty: lambda self, e: "TRANSIENT",
-  76        exp.StabilityProperty: lambda self, e: e.name,
-  77        exp.VolatileProperty: lambda self, e: "VOLATILE",
-  78        exp.WithJournalTableProperty: lambda self, e: f"WITH JOURNAL TABLE={self.sql(e, 'this')}",
-  79        exp.CaseSpecificColumnConstraint: lambda self, e: f"{'NOT ' if e.args.get('not_') else ''}CASESPECIFIC",
-  80        exp.CharacterSetColumnConstraint: lambda self, e: f"CHARACTER SET {self.sql(e, 'this')}",
-  81        exp.DateFormatColumnConstraint: lambda self, e: f"FORMAT {self.sql(e, 'this')}",
-  82        exp.OnUpdateColumnConstraint: lambda self, e: f"ON UPDATE {self.sql(e, 'this')}",
-  83        exp.UppercaseColumnConstraint: lambda self, e: f"UPPERCASE",
-  84        exp.TitleColumnConstraint: lambda self, e: f"TITLE {self.sql(e, 'this')}",
-  85        exp.PathColumnConstraint: lambda self, e: f"PATH {self.sql(e, 'this')}",
-  86        exp.CheckColumnConstraint: lambda self, e: f"CHECK ({self.sql(e, 'this')})",
-  87        exp.CommentColumnConstraint: lambda self, e: f"COMMENT {self.sql(e, 'this')}",
-  88        exp.CollateColumnConstraint: lambda self, e: f"COLLATE {self.sql(e, 'this')}",
-  89        exp.EncodeColumnConstraint: lambda self, e: f"ENCODE {self.sql(e, 'this')}",
-  90        exp.DefaultColumnConstraint: lambda self, e: f"DEFAULT {self.sql(e, 'this')}",
-  91        exp.InlineLengthColumnConstraint: lambda self, e: f"INLINE LENGTH {self.sql(e, 'this')}",
-  92    }
-  93
-  94    # Whether or not null ordering is supported in order by
-  95    NULL_ORDERING_SUPPORTED = True
-  96
-  97    # Whether or not locking reads (i.e. SELECT ... FOR UPDATE/SHARE) are supported
-  98    LOCKING_READS_SUPPORTED = False
-  99
- 100    # Always do union distinct or union all
- 101    EXPLICIT_UNION = False
- 102
- 103    # Wrap derived values in parens, usually standard but spark doesn't support it
- 104    WRAP_DERIVED_VALUES = True
- 105
- 106    # Whether or not create function uses an AS before the RETURN
- 107    CREATE_FUNCTION_RETURN_AS = True
- 108
- 109    # Whether or not MERGE ... WHEN MATCHED BY SOURCE is allowed
- 110    MATCHED_BY_SOURCE = True
- 111
- 112    # Whether or not the INTERVAL expression works only with values like '1 day'
- 113    SINGLE_STRING_INTERVAL = False
- 114
- 115    # Whether or not the plural form of date parts like day (i.e. "days") is supported in INTERVALs
- 116    INTERVAL_ALLOWS_PLURAL_FORM = True
- 117
- 118    # Whether or not the TABLESAMPLE clause supports a method name, like BERNOULLI
- 119    TABLESAMPLE_WITH_METHOD = True
- 120
- 121    # Whether or not to treat the number in TABLESAMPLE (50) as a percentage
- 122    TABLESAMPLE_SIZE_IS_PERCENT = False
- 123
- 124    # Whether or not limit and fetch are supported (possible values: "ALL", "LIMIT", "FETCH")
- 125    LIMIT_FETCH = "ALL"
- 126
- 127    # Whether or not a table is allowed to be renamed with a db
- 128    RENAME_TABLE_WITH_DB = True
- 129
- 130    # The separator for grouping sets and rollups
- 131    GROUPINGS_SEP = ","
- 132
- 133    # The string used for creating an index on a table
- 134    INDEX_ON = "ON"
- 135
- 136    # Whether or not join hints should be generated
- 137    JOIN_HINTS = True
- 138
- 139    # Whether or not table hints should be generated
- 140    TABLE_HINTS = True
- 141
- 142    # Whether or not comparing against booleans (e.g. x IS TRUE) is supported
- 143    IS_BOOL_ALLOWED = True
- 144
- 145    TYPE_MAPPING = {
- 146        exp.DataType.Type.NCHAR: "CHAR",
- 147        exp.DataType.Type.NVARCHAR: "VARCHAR",
- 148        exp.DataType.Type.MEDIUMTEXT: "TEXT",
- 149        exp.DataType.Type.LONGTEXT: "TEXT",
- 150        exp.DataType.Type.MEDIUMBLOB: "BLOB",
- 151        exp.DataType.Type.LONGBLOB: "BLOB",
- 152        exp.DataType.Type.INET: "INET",
- 153    }
- 154
- 155    STAR_MAPPING = {
- 156        "except": "EXCEPT",
- 157        "replace": "REPLACE",
- 158    }
- 159
- 160    TIME_PART_SINGULARS = {
- 161        "microseconds": "microsecond",
- 162        "seconds": "second",
- 163        "minutes": "minute",
- 164        "hours": "hour",
- 165        "days": "day",
- 166        "weeks": "week",
- 167        "months": "month",
- 168        "quarters": "quarter",
- 169        "years": "year",
- 170    }
- 171
- 172    TOKEN_MAPPING: t.Dict[TokenType, str] = {}
- 173
- 174    STRUCT_DELIMITER = ("<", ">")
+  59        exp.CaseSpecificColumnConstraint: lambda self, e: f"{'NOT ' if e.args.get('not_') else ''}CASESPECIFIC",
+  60        exp.CharacterSetColumnConstraint: lambda self, e: f"CHARACTER SET {self.sql(e, 'this')}",
+  61        exp.CharacterSetProperty: lambda self, e: f"{'DEFAULT ' if e.args.get('default') else ''}CHARACTER SET={self.sql(e, 'this')}",
+  62        exp.CheckColumnConstraint: lambda self, e: f"CHECK ({self.sql(e, 'this')})",
+  63        exp.CollateColumnConstraint: lambda self, e: f"COLLATE {self.sql(e, 'this')}",
+  64        exp.CopyGrantsProperty: lambda self, e: "COPY GRANTS",
+  65        exp.CommentColumnConstraint: lambda self, e: f"COMMENT {self.sql(e, 'this')}",
+  66        exp.DateFormatColumnConstraint: lambda self, e: f"FORMAT {self.sql(e, 'this')}",
+  67        exp.DefaultColumnConstraint: lambda self, e: f"DEFAULT {self.sql(e, 'this')}",
+  68        exp.EncodeColumnConstraint: lambda self, e: f"ENCODE {self.sql(e, 'this')}",
+  69        exp.ExecuteAsProperty: lambda self, e: self.naked_property(e),
+  70        exp.ExternalProperty: lambda self, e: "EXTERNAL",
+  71        exp.InlineLengthColumnConstraint: lambda self, e: f"INLINE LENGTH {self.sql(e, 'this')}",
+  72        exp.LanguageProperty: lambda self, e: self.naked_property(e),
+  73        exp.LocationProperty: lambda self, e: self.naked_property(e),
+  74        exp.LogProperty: lambda self, e: f"{'NO ' if e.args.get('no') else ''}LOG",
+  75        exp.MaterializedProperty: lambda self, e: "MATERIALIZED",
+  76        exp.NoPrimaryIndexProperty: lambda self, e: "NO PRIMARY INDEX",
+  77        exp.OnCommitProperty: lambda self, e: f"ON COMMIT {'DELETE' if e.args.get('delete') else 'PRESERVE'} ROWS",
+  78        exp.OnUpdateColumnConstraint: lambda self, e: f"ON UPDATE {self.sql(e, 'this')}",
+  79        exp.PathColumnConstraint: lambda self, e: f"PATH {self.sql(e, 'this')}",
+  80        exp.ReturnsProperty: lambda self, e: self.naked_property(e),
+  81        exp.SetProperty: lambda self, e: f"{'MULTI' if e.args.get('multi') else ''}SET",
+  82        exp.SettingsProperty: lambda self, e: f"SETTINGS{self.seg('')}{(self.expressions(e))}",
+  83        exp.SqlSecurityProperty: lambda self, e: f"SQL SECURITY {'DEFINER' if e.args.get('definer') else 'INVOKER'}",
+  84        exp.StabilityProperty: lambda self, e: e.name,
+  85        exp.TemporaryProperty: lambda self, e: f"TEMPORARY",
+  86        exp.ToTableProperty: lambda self, e: f"TO {self.sql(e.this)}",
+  87        exp.TransientProperty: lambda self, e: "TRANSIENT",
+  88        exp.TitleColumnConstraint: lambda self, e: f"TITLE {self.sql(e, 'this')}",
+  89        exp.UppercaseColumnConstraint: lambda self, e: f"UPPERCASE",
+  90        exp.VarMap: lambda self, e: self.func("MAP", e.args["keys"], e.args["values"]),
+  91        exp.VolatileProperty: lambda self, e: "VOLATILE",
+  92        exp.WithJournalTableProperty: lambda self, e: f"WITH JOURNAL TABLE={self.sql(e, 'this')}",
+  93    }
+  94
+  95    # Whether or not null ordering is supported in order by
+  96    NULL_ORDERING_SUPPORTED = True
+  97
+  98    # Whether or not locking reads (i.e. SELECT ... FOR UPDATE/SHARE) are supported
+  99    LOCKING_READS_SUPPORTED = False
+ 100
+ 101    # Always do union distinct or union all
+ 102    EXPLICIT_UNION = False
+ 103
+ 104    # Wrap derived values in parens, usually standard but spark doesn't support it
+ 105    WRAP_DERIVED_VALUES = True
+ 106
+ 107    # Whether or not create function uses an AS before the RETURN
+ 108    CREATE_FUNCTION_RETURN_AS = True
+ 109
+ 110    # Whether or not MERGE ... WHEN MATCHED BY SOURCE is allowed
+ 111    MATCHED_BY_SOURCE = True
+ 112
+ 113    # Whether or not the INTERVAL expression works only with values like '1 day'
+ 114    SINGLE_STRING_INTERVAL = False
+ 115
+ 116    # Whether or not the plural form of date parts like day (i.e. "days") is supported in INTERVALs
+ 117    INTERVAL_ALLOWS_PLURAL_FORM = True
+ 118
+ 119    # Whether or not the TABLESAMPLE clause supports a method name, like BERNOULLI
+ 120    TABLESAMPLE_WITH_METHOD = True
+ 121
+ 122    # Whether or not to treat the number in TABLESAMPLE (50) as a percentage
+ 123    TABLESAMPLE_SIZE_IS_PERCENT = False
+ 124
+ 125    # Whether or not limit and fetch are supported (possible values: "ALL", "LIMIT", "FETCH")
+ 126    LIMIT_FETCH = "ALL"
+ 127
+ 128    # Whether or not a table is allowed to be renamed with a db
+ 129    RENAME_TABLE_WITH_DB = True
+ 130
+ 131    # The separator for grouping sets and rollups
+ 132    GROUPINGS_SEP = ","
+ 133
+ 134    # The string used for creating an index on a table
+ 135    INDEX_ON = "ON"
+ 136
+ 137    # Whether or not join hints should be generated
+ 138    JOIN_HINTS = True
+ 139
+ 140    # Whether or not table hints should be generated
+ 141    TABLE_HINTS = True
+ 142
+ 143    # Whether or not comparing against booleans (e.g. x IS TRUE) is supported
+ 144    IS_BOOL_ALLOWED = True
+ 145
+ 146    # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax
+ 147    SELECT_KINDS: t.Tuple[str, ...] = ("STRUCT", "VALUE")
+ 148
+ 149    TYPE_MAPPING = {
+ 150        exp.DataType.Type.NCHAR: "CHAR",
+ 151        exp.DataType.Type.NVARCHAR: "VARCHAR",
+ 152        exp.DataType.Type.MEDIUMTEXT: "TEXT",
+ 153        exp.DataType.Type.LONGTEXT: "TEXT",
+ 154        exp.DataType.Type.MEDIUMBLOB: "BLOB",
+ 155        exp.DataType.Type.LONGBLOB: "BLOB",
+ 156        exp.DataType.Type.INET: "INET",
+ 157    }
+ 158
+ 159    STAR_MAPPING = {
+ 160        "except": "EXCEPT",
+ 161        "replace": "REPLACE",
+ 162    }
+ 163
+ 164    TIME_PART_SINGULARS = {
+ 165        "microseconds": "microsecond",
+ 166        "seconds": "second",
+ 167        "minutes": "minute",
+ 168        "hours": "hour",
+ 169        "days": "day",
+ 170        "weeks": "week",
+ 171        "months": "month",
+ 172        "quarters": "quarter",
+ 173        "years": "year",
+ 174    }
  175
- 176    PARAMETER_TOKEN = "@"
+ 176    TOKEN_MAPPING: t.Dict[TokenType, str] = {}
  177
- 178    PROPERTIES_LOCATION = {
- 179        exp.AlgorithmProperty: exp.Properties.Location.POST_CREATE,
- 180        exp.AutoIncrementProperty: exp.Properties.Location.POST_SCHEMA,
- 181        exp.BlockCompressionProperty: exp.Properties.Location.POST_NAME,
- 182        exp.CharacterSetProperty: exp.Properties.Location.POST_SCHEMA,
- 183        exp.ChecksumProperty: exp.Properties.Location.POST_NAME,
- 184        exp.CollateProperty: exp.Properties.Location.POST_SCHEMA,
- 185        exp.Cluster: exp.Properties.Location.POST_SCHEMA,
- 186        exp.DataBlocksizeProperty: exp.Properties.Location.POST_NAME,
- 187        exp.DefinerProperty: exp.Properties.Location.POST_CREATE,
- 188        exp.DictRange: exp.Properties.Location.POST_SCHEMA,
- 189        exp.DictProperty: exp.Properties.Location.POST_SCHEMA,
- 190        exp.DistKeyProperty: exp.Properties.Location.POST_SCHEMA,
- 191        exp.DistStyleProperty: exp.Properties.Location.POST_SCHEMA,
- 192        exp.EngineProperty: exp.Properties.Location.POST_SCHEMA,
- 193        exp.ExecuteAsProperty: exp.Properties.Location.POST_SCHEMA,
- 194        exp.ExternalProperty: exp.Properties.Location.POST_CREATE,
- 195        exp.FallbackProperty: exp.Properties.Location.POST_NAME,
- 196        exp.FileFormatProperty: exp.Properties.Location.POST_WITH,
- 197        exp.FreespaceProperty: exp.Properties.Location.POST_NAME,
- 198        exp.IsolatedLoadingProperty: exp.Properties.Location.POST_NAME,
- 199        exp.JournalProperty: exp.Properties.Location.POST_NAME,
- 200        exp.LanguageProperty: exp.Properties.Location.POST_SCHEMA,
- 201        exp.LikeProperty: exp.Properties.Location.POST_SCHEMA,
- 202        exp.LocationProperty: exp.Properties.Location.POST_SCHEMA,
- 203        exp.LockingProperty: exp.Properties.Location.POST_ALIAS,
- 204        exp.LogProperty: exp.Properties.Location.POST_NAME,
- 205        exp.MaterializedProperty: exp.Properties.Location.POST_CREATE,
- 206        exp.MergeBlockRatioProperty: exp.Properties.Location.POST_NAME,
- 207        exp.NoPrimaryIndexProperty: exp.Properties.Location.POST_EXPRESSION,
- 208        exp.OnCommitProperty: exp.Properties.Location.POST_EXPRESSION,
- 209        exp.Order: exp.Properties.Location.POST_SCHEMA,
- 210        exp.PartitionedByProperty: exp.Properties.Location.POST_WITH,
- 211        exp.PrimaryKey: exp.Properties.Location.POST_SCHEMA,
- 212        exp.Property: exp.Properties.Location.POST_WITH,
- 213        exp.ReturnsProperty: exp.Properties.Location.POST_SCHEMA,
- 214        exp.RowFormatProperty: exp.Properties.Location.POST_SCHEMA,
- 215        exp.RowFormatDelimitedProperty: exp.Properties.Location.POST_SCHEMA,
- 216        exp.RowFormatSerdeProperty: exp.Properties.Location.POST_SCHEMA,
- 217        exp.SchemaCommentProperty: exp.Properties.Location.POST_SCHEMA,
- 218        exp.SerdeProperties: exp.Properties.Location.POST_SCHEMA,
- 219        exp.Set: exp.Properties.Location.POST_SCHEMA,
- 220        exp.SettingsProperty: exp.Properties.Location.POST_SCHEMA,
- 221        exp.SetProperty: exp.Properties.Location.POST_CREATE,
- 222        exp.SortKeyProperty: exp.Properties.Location.POST_SCHEMA,
- 223        exp.SqlSecurityProperty: exp.Properties.Location.POST_CREATE,
- 224        exp.StabilityProperty: exp.Properties.Location.POST_SCHEMA,
- 225        exp.TemporaryProperty: exp.Properties.Location.POST_CREATE,
- 226        exp.ToTableProperty: exp.Properties.Location.POST_SCHEMA,
- 227        exp.TransientProperty: exp.Properties.Location.POST_CREATE,
- 228        exp.MergeTreeTTL: exp.Properties.Location.POST_SCHEMA,
- 229        exp.VolatileProperty: exp.Properties.Location.POST_CREATE,
- 230        exp.WithDataProperty: exp.Properties.Location.POST_EXPRESSION,
- 231        exp.WithJournalTableProperty: exp.Properties.Location.POST_NAME,
- 232    }
- 233
- 234    # Keywords that can't be used as unquoted identifier names
- 235    RESERVED_KEYWORDS: t.Set[str] = set()
- 236
- 237    # Expressions whose comments are separated from them for better formatting
- 238    WITH_SEPARATED_COMMENTS: t.Tuple[t.Type[exp.Expression], ...] = (
- 239        exp.Select,
- 240        exp.From,
- 241        exp.Where,
- 242        exp.With,
- 243    )
- 244
- 245    # Expressions that can remain unwrapped when appearing in the context of an INTERVAL
- 246    UNWRAPPED_INTERVAL_VALUES: t.Tuple[t.Type[exp.Expression], ...] = (
- 247        exp.Column,
- 248        exp.Literal,
- 249        exp.Neg,
- 250        exp.Paren,
- 251    )
- 252
- 253    SENTINEL_LINE_BREAK = "__SQLGLOT__LB__"
- 254
- 255    # Autofilled
- 256    INVERSE_TIME_MAPPING: t.Dict[str, str] = {}
- 257    INVERSE_TIME_TRIE: t.Dict = {}
- 258    INDEX_OFFSET = 0
- 259    UNNEST_COLUMN_ONLY = False
- 260    ALIAS_POST_TABLESAMPLE = False
- 261    IDENTIFIERS_CAN_START_WITH_DIGIT = False
- 262    STRICT_STRING_CONCAT = False
- 263    NORMALIZE_FUNCTIONS: bool | str = "upper"
- 264    NULL_ORDERING = "nulls_are_small"
- 265
- 266    # Delimiters for quotes, identifiers and the corresponding escape characters
- 267    QUOTE_START = "'"
- 268    QUOTE_END = "'"
- 269    IDENTIFIER_START = '"'
- 270    IDENTIFIER_END = '"'
- 271    STRING_ESCAPE = "'"
- 272    IDENTIFIER_ESCAPE = '"'
- 273
- 274    # Delimiters for bit, hex, byte and raw literals
- 275    BIT_START: t.Optional[str] = None
- 276    BIT_END: t.Optional[str] = None
- 277    HEX_START: t.Optional[str] = None
- 278    HEX_END: t.Optional[str] = None
- 279    BYTE_START: t.Optional[str] = None
- 280    BYTE_END: t.Optional[str] = None
- 281    RAW_START: t.Optional[str] = None
- 282    RAW_END: t.Optional[str] = None
- 283
- 284    __slots__ = (
- 285        "pretty",
- 286        "identify",
- 287        "normalize",
- 288        "pad",
- 289        "_indent",
- 290        "normalize_functions",
- 291        "unsupported_level",
- 292        "max_unsupported",
- 293        "leading_comma",
- 294        "max_text_width",
- 295        "comments",
- 296        "unsupported_messages",
- 297        "_escaped_quote_end",
- 298        "_escaped_identifier_end",
- 299        "_cache",
- 300    )
- 301
- 302    def __init__(
- 303        self,
- 304        pretty: t.Optional[bool] = None,
- 305        identify: str | bool = False,
- 306        normalize: bool = False,
- 307        pad: int = 2,
- 308        indent: int = 2,
- 309        normalize_functions: t.Optional[str | bool] = None,
- 310        unsupported_level: ErrorLevel = ErrorLevel.WARN,
- 311        max_unsupported: int = 3,
- 312        leading_comma: bool = False,
- 313        max_text_width: int = 80,
- 314        comments: bool = True,
- 315    ):
- 316        import sqlglot
- 317
- 318        self.pretty = pretty if pretty is not None else sqlglot.pretty
- 319        self.identify = identify
- 320        self.normalize = normalize
- 321        self.pad = pad
- 322        self._indent = indent
- 323        self.unsupported_level = unsupported_level
- 324        self.max_unsupported = max_unsupported
- 325        self.leading_comma = leading_comma
- 326        self.max_text_width = max_text_width
- 327        self.comments = comments
- 328
- 329        # This is both a Dialect property and a Generator argument, so we prioritize the latter
- 330        self.normalize_functions = (
- 331            self.NORMALIZE_FUNCTIONS if normalize_functions is None else normalize_functions
- 332        )
- 333
- 334        self.unsupported_messages: t.List[str] = []
- 335        self._escaped_quote_end: str = self.STRING_ESCAPE + self.QUOTE_END
- 336        self._escaped_identifier_end: str = self.IDENTIFIER_ESCAPE + self.IDENTIFIER_END
- 337        self._cache: t.Optional[t.Dict[int, str]] = None
- 338
- 339    def generate(
- 340        self,
- 341        expression: t.Optional[exp.Expression],
- 342        cache: t.Optional[t.Dict[int, str]] = None,
- 343    ) -> str:
- 344        """
- 345        Generates the SQL string corresponding to the given syntax tree.
- 346
- 347        Args:
- 348            expression: The syntax tree.
- 349            cache: An optional sql string cache. This leverages the hash of an Expression
- 350                which can be slow to compute, so only use it if you set _hash on each node.
- 351
- 352        Returns:
- 353            The SQL string corresponding to `expression`.
- 354        """
- 355        if cache is not None:
- 356            self._cache = cache
- 357
- 358        self.unsupported_messages = []
- 359        sql = self.sql(expression).strip()
- 360        self._cache = None
- 361
- 362        if self.unsupported_level == ErrorLevel.IGNORE:
- 363            return sql
+ 178    STRUCT_DELIMITER = ("<", ">")
+ 179
+ 180    PARAMETER_TOKEN = "@"
+ 181
+ 182    PROPERTIES_LOCATION = {
+ 183        exp.AlgorithmProperty: exp.Properties.Location.POST_CREATE,
+ 184        exp.AutoIncrementProperty: exp.Properties.Location.POST_SCHEMA,
+ 185        exp.BlockCompressionProperty: exp.Properties.Location.POST_NAME,
+ 186        exp.CharacterSetProperty: exp.Properties.Location.POST_SCHEMA,
+ 187        exp.ChecksumProperty: exp.Properties.Location.POST_NAME,
+ 188        exp.CollateProperty: exp.Properties.Location.POST_SCHEMA,
+ 189        exp.CopyGrantsProperty: exp.Properties.Location.POST_SCHEMA,
+ 190        exp.Cluster: exp.Properties.Location.POST_SCHEMA,
+ 191        exp.DataBlocksizeProperty: exp.Properties.Location.POST_NAME,
+ 192        exp.DefinerProperty: exp.Properties.Location.POST_CREATE,
+ 193        exp.DictRange: exp.Properties.Location.POST_SCHEMA,
+ 194        exp.DictProperty: exp.Properties.Location.POST_SCHEMA,
+ 195        exp.DistKeyProperty: exp.Properties.Location.POST_SCHEMA,
+ 196        exp.DistStyleProperty: exp.Properties.Location.POST_SCHEMA,
+ 197        exp.EngineProperty: exp.Properties.Location.POST_SCHEMA,
+ 198        exp.ExecuteAsProperty: exp.Properties.Location.POST_SCHEMA,
+ 199        exp.ExternalProperty: exp.Properties.Location.POST_CREATE,
+ 200        exp.FallbackProperty: exp.Properties.Location.POST_NAME,
+ 201        exp.FileFormatProperty: exp.Properties.Location.POST_WITH,
+ 202        exp.FreespaceProperty: exp.Properties.Location.POST_NAME,
+ 203        exp.IsolatedLoadingProperty: exp.Properties.Location.POST_NAME,
+ 204        exp.JournalProperty: exp.Properties.Location.POST_NAME,
+ 205        exp.LanguageProperty: exp.Properties.Location.POST_SCHEMA,
+ 206        exp.LikeProperty: exp.Properties.Location.POST_SCHEMA,
+ 207        exp.LocationProperty: exp.Properties.Location.POST_SCHEMA,
+ 208        exp.LockingProperty: exp.Properties.Location.POST_ALIAS,
+ 209        exp.LogProperty: exp.Properties.Location.POST_NAME,
+ 210        exp.MaterializedProperty: exp.Properties.Location.POST_CREATE,
+ 211        exp.MergeBlockRatioProperty: exp.Properties.Location.POST_NAME,
+ 212        exp.NoPrimaryIndexProperty: exp.Properties.Location.POST_EXPRESSION,
+ 213        exp.OnCommitProperty: exp.Properties.Location.POST_EXPRESSION,
+ 214        exp.Order: exp.Properties.Location.POST_SCHEMA,
+ 215        exp.PartitionedByProperty: exp.Properties.Location.POST_WITH,
+ 216        exp.PrimaryKey: exp.Properties.Location.POST_SCHEMA,
+ 217        exp.Property: exp.Properties.Location.POST_WITH,
+ 218        exp.ReturnsProperty: exp.Properties.Location.POST_SCHEMA,
+ 219        exp.RowFormatProperty: exp.Properties.Location.POST_SCHEMA,
+ 220        exp.RowFormatDelimitedProperty: exp.Properties.Location.POST_SCHEMA,
+ 221        exp.RowFormatSerdeProperty: exp.Properties.Location.POST_SCHEMA,
+ 222        exp.SchemaCommentProperty: exp.Properties.Location.POST_SCHEMA,
+ 223        exp.SerdeProperties: exp.Properties.Location.POST_SCHEMA,
+ 224        exp.Set: exp.Properties.Location.POST_SCHEMA,
+ 225        exp.SettingsProperty: exp.Properties.Location.POST_SCHEMA,
+ 226        exp.SetProperty: exp.Properties.Location.POST_CREATE,
+ 227        exp.SortKeyProperty: exp.Properties.Location.POST_SCHEMA,
+ 228        exp.SqlSecurityProperty: exp.Properties.Location.POST_CREATE,
+ 229        exp.StabilityProperty: exp.Properties.Location.POST_SCHEMA,
+ 230        exp.TemporaryProperty: exp.Properties.Location.POST_CREATE,
+ 231        exp.ToTableProperty: exp.Properties.Location.POST_SCHEMA,
+ 232        exp.TransientProperty: exp.Properties.Location.POST_CREATE,
+ 233        exp.MergeTreeTTL: exp.Properties.Location.POST_SCHEMA,
+ 234        exp.VolatileProperty: exp.Properties.Location.POST_CREATE,
+ 235        exp.WithDataProperty: exp.Properties.Location.POST_EXPRESSION,
+ 236        exp.WithJournalTableProperty: exp.Properties.Location.POST_NAME,
+ 237    }
+ 238
+ 239    # Keywords that can't be used as unquoted identifier names
+ 240    RESERVED_KEYWORDS: t.Set[str] = set()
+ 241
+ 242    # Expressions whose comments are separated from them for better formatting
+ 243    WITH_SEPARATED_COMMENTS: t.Tuple[t.Type[exp.Expression], ...] = (
+ 244        exp.Select,
+ 245        exp.From,
+ 246        exp.Where,
+ 247        exp.With,
+ 248    )
+ 249
+ 250    # Expressions that can remain unwrapped when appearing in the context of an INTERVAL
+ 251    UNWRAPPED_INTERVAL_VALUES: t.Tuple[t.Type[exp.Expression], ...] = (
+ 252        exp.Column,
+ 253        exp.Literal,
+ 254        exp.Neg,
+ 255        exp.Paren,
+ 256    )
+ 257
+ 258    SENTINEL_LINE_BREAK = "__SQLGLOT__LB__"
+ 259
+ 260    # Autofilled
+ 261    INVERSE_TIME_MAPPING: t.Dict[str, str] = {}
+ 262    INVERSE_TIME_TRIE: t.Dict = {}
+ 263    INDEX_OFFSET = 0
+ 264    UNNEST_COLUMN_ONLY = False
+ 265    ALIAS_POST_TABLESAMPLE = False
+ 266    IDENTIFIERS_CAN_START_WITH_DIGIT = False
+ 267    STRICT_STRING_CONCAT = False
+ 268    NORMALIZE_FUNCTIONS: bool | str = "upper"
+ 269    NULL_ORDERING = "nulls_are_small"
+ 270
+ 271    can_identify: t.Callable[[str, str | bool], bool]
+ 272
+ 273    # Delimiters for quotes, identifiers and the corresponding escape characters
+ 274    QUOTE_START = "'"
+ 275    QUOTE_END = "'"
+ 276    IDENTIFIER_START = '"'
+ 277    IDENTIFIER_END = '"'
+ 278    STRING_ESCAPE = "'"
+ 279    IDENTIFIER_ESCAPE = '"'
+ 280
+ 281    # Delimiters for bit, hex, byte and raw literals
+ 282    BIT_START: t.Optional[str] = None
+ 283    BIT_END: t.Optional[str] = None
+ 284    HEX_START: t.Optional[str] = None
+ 285    HEX_END: t.Optional[str] = None
+ 286    BYTE_START: t.Optional[str] = None
+ 287    BYTE_END: t.Optional[str] = None
+ 288    RAW_START: t.Optional[str] = None
+ 289    RAW_END: t.Optional[str] = None
+ 290
+ 291    __slots__ = (
+ 292        "pretty",
+ 293        "identify",
+ 294        "normalize",
+ 295        "pad",
+ 296        "_indent",
+ 297        "normalize_functions",
+ 298        "unsupported_level",
+ 299        "max_unsupported",
+ 300        "leading_comma",
+ 301        "max_text_width",
+ 302        "comments",
+ 303        "unsupported_messages",
+ 304        "_escaped_quote_end",
+ 305        "_escaped_identifier_end",
+ 306        "_cache",
+ 307    )
+ 308
+ 309    def __init__(
+ 310        self,
+ 311        pretty: t.Optional[bool] = None,
+ 312        identify: str | bool = False,
+ 313        normalize: bool = False,
+ 314        pad: int = 2,
+ 315        indent: int = 2,
+ 316        normalize_functions: t.Optional[str | bool] = None,
+ 317        unsupported_level: ErrorLevel = ErrorLevel.WARN,
+ 318        max_unsupported: int = 3,
+ 319        leading_comma: bool = False,
+ 320        max_text_width: int = 80,
+ 321        comments: bool = True,
+ 322    ):
+ 323        import sqlglot
+ 324
+ 325        self.pretty = pretty if pretty is not None else sqlglot.pretty
+ 326        self.identify = identify
+ 327        self.normalize = normalize
+ 328        self.pad = pad
+ 329        self._indent = indent
+ 330        self.unsupported_level = unsupported_level
+ 331        self.max_unsupported = max_unsupported
+ 332        self.leading_comma = leading_comma
+ 333        self.max_text_width = max_text_width
+ 334        self.comments = comments
+ 335
+ 336        # This is both a Dialect property and a Generator argument, so we prioritize the latter
+ 337        self.normalize_functions = (
+ 338            self.NORMALIZE_FUNCTIONS if normalize_functions is None else normalize_functions
+ 339        )
+ 340
+ 341        self.unsupported_messages: t.List[str] = []
+ 342        self._escaped_quote_end: str = self.STRING_ESCAPE + self.QUOTE_END
+ 343        self._escaped_identifier_end: str = self.IDENTIFIER_ESCAPE + self.IDENTIFIER_END
+ 344        self._cache: t.Optional[t.Dict[int, str]] = None
+ 345
+ 346    def generate(
+ 347        self,
+ 348        expression: t.Optional[exp.Expression],
+ 349        cache: t.Optional[t.Dict[int, str]] = None,
+ 350    ) -> str:
+ 351        """
+ 352        Generates the SQL string corresponding to the given syntax tree.
+ 353
+ 354        Args:
+ 355            expression: The syntax tree.
+ 356            cache: An optional sql string cache. This leverages the hash of an Expression
+ 357                which can be slow to compute, so only use it if you set _hash on each node.
+ 358
+ 359        Returns:
+ 360            The SQL string corresponding to `expression`.
+ 361        """
+ 362        if cache is not None:
+ 363            self._cache = cache
  364
- 365        if self.unsupported_level == ErrorLevel.WARN:
- 366            for msg in self.unsupported_messages:
- 367                logger.warning(msg)
- 368        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
- 369            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
- 370
- 371        if self.pretty:
- 372            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
- 373        return sql
- 374
- 375    def unsupported(self, message: str) -> None:
- 376        if self.unsupported_level == ErrorLevel.IMMEDIATE:
- 377            raise UnsupportedError(message)
- 378        self.unsupported_messages.append(message)
- 379
- 380    def sep(self, sep: str = " ") -> str:
- 381        return f"{sep.strip()}\n" if self.pretty else sep
- 382
- 383    def seg(self, sql: str, sep: str = " ") -> str:
- 384        return f"{self.sep(sep)}{sql}"
- 385
- 386    def pad_comment(self, comment: str) -> str:
- 387        comment = " " + comment if comment[0].strip() else comment
- 388        comment = comment + " " if comment[-1].strip() else comment
- 389        return comment
- 390
- 391    def maybe_comment(
- 392        self,
- 393        sql: str,
- 394        expression: t.Optional[exp.Expression] = None,
- 395        comments: t.Optional[t.List[str]] = None,
- 396    ) -> str:
- 397        comments = (
- 398            ((expression and expression.comments) if comments is None else comments)  # type: ignore
- 399            if self.comments
- 400            else None
- 401        )
- 402
- 403        if not comments or isinstance(expression, exp.Binary):
- 404            return sql
- 405
- 406        sep = "\n" if self.pretty else " "
- 407        comments_sql = sep.join(
- 408            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
- 409        )
- 410
- 411        if not comments_sql:
- 412            return sql
- 413
- 414        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
- 415            return (
- 416                f"{self.sep()}{comments_sql}{sql}"
- 417                if sql[0].isspace()
- 418                else f"{comments_sql}{self.sep()}{sql}"
- 419            )
+ 365        self.unsupported_messages = []
+ 366        sql = self.sql(expression).strip()
+ 367        self._cache = None
+ 368
+ 369        if self.unsupported_level == ErrorLevel.IGNORE:
+ 370            return sql
+ 371
+ 372        if self.unsupported_level == ErrorLevel.WARN:
+ 373            for msg in self.unsupported_messages:
+ 374                logger.warning(msg)
+ 375        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
+ 376            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
+ 377
+ 378        if self.pretty:
+ 379            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
+ 380        return sql
+ 381
+ 382    def unsupported(self, message: str) -> None:
+ 383        if self.unsupported_level == ErrorLevel.IMMEDIATE:
+ 384            raise UnsupportedError(message)
+ 385        self.unsupported_messages.append(message)
+ 386
+ 387    def sep(self, sep: str = " ") -> str:
+ 388        return f"{sep.strip()}\n" if self.pretty else sep
+ 389
+ 390    def seg(self, sql: str, sep: str = " ") -> str:
+ 391        return f"{self.sep(sep)}{sql}"
+ 392
+ 393    def pad_comment(self, comment: str) -> str:
+ 394        comment = " " + comment if comment[0].strip() else comment
+ 395        comment = comment + " " if comment[-1].strip() else comment
+ 396        return comment
+ 397
+ 398    def maybe_comment(
+ 399        self,
+ 400        sql: str,
+ 401        expression: t.Optional[exp.Expression] = None,
+ 402        comments: t.Optional[t.List[str]] = None,
+ 403    ) -> str:
+ 404        comments = (
+ 405            ((expression and expression.comments) if comments is None else comments)  # type: ignore
+ 406            if self.comments
+ 407            else None
+ 408        )
+ 409
+ 410        if not comments or isinstance(expression, exp.Binary):
+ 411            return sql
+ 412
+ 413        sep = "\n" if self.pretty else " "
+ 414        comments_sql = sep.join(
+ 415            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
+ 416        )
+ 417
+ 418        if not comments_sql:
+ 419            return sql
  420
- 421        return f"{sql} {comments_sql}"
- 422
- 423    def wrap(self, expression: exp.Expression | str) -> str:
- 424        this_sql = self.indent(
- 425            self.sql(expression)
- 426            if isinstance(expression, (exp.Select, exp.Union))
- 427            else self.sql(expression, "this"),
- 428            level=1,
- 429            pad=0,
- 430        )
- 431        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
- 432
- 433    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
- 434        original = self.identify
- 435        self.identify = False
- 436        result = func(*args, **kwargs)
- 437        self.identify = original
- 438        return result
+ 421        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
+ 422            return (
+ 423                f"{self.sep()}{comments_sql}{sql}"
+ 424                if sql[0].isspace()
+ 425                else f"{comments_sql}{self.sep()}{sql}"
+ 426            )
+ 427
+ 428        return f"{sql} {comments_sql}"
+ 429
+ 430    def wrap(self, expression: exp.Expression | str) -> str:
+ 431        this_sql = self.indent(
+ 432            self.sql(expression)
+ 433            if isinstance(expression, (exp.Select, exp.Union))
+ 434            else self.sql(expression, "this"),
+ 435            level=1,
+ 436            pad=0,
+ 437        )
+ 438        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
  439
- 440    def normalize_func(self, name: str) -> str:
- 441        if self.normalize_functions == "upper" or self.normalize_functions is True:
- 442            return name.upper()
- 443        if self.normalize_functions == "lower":
- 444            return name.lower()
- 445        return name
+ 440    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
+ 441        original = self.identify
+ 442        self.identify = False
+ 443        result = func(*args, **kwargs)
+ 444        self.identify = original
+ 445        return result
  446
- 447    def indent(
- 448        self,
- 449        sql: str,
- 450        level: int = 0,
- 451        pad: t.Optional[int] = None,
- 452        skip_first: bool = False,
- 453        skip_last: bool = False,
- 454    ) -> str:
- 455        if not self.pretty:
- 456            return sql
- 457
- 458        pad = self.pad if pad is None else pad
- 459        lines = sql.split("\n")
- 460
- 461        return "\n".join(
- 462            line
- 463            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
- 464            else f"{' ' * (level * self._indent + pad)}{line}"
- 465            for i, line in enumerate(lines)
- 466        )
+ 447    def normalize_func(self, name: str) -> str:
+ 448        if self.normalize_functions == "upper" or self.normalize_functions is True:
+ 449            return name.upper()
+ 450        if self.normalize_functions == "lower":
+ 451            return name.lower()
+ 452        return name
+ 453
+ 454    def indent(
+ 455        self,
+ 456        sql: str,
+ 457        level: int = 0,
+ 458        pad: t.Optional[int] = None,
+ 459        skip_first: bool = False,
+ 460        skip_last: bool = False,
+ 461    ) -> str:
+ 462        if not self.pretty:
+ 463            return sql
+ 464
+ 465        pad = self.pad if pad is None else pad
+ 466        lines = sql.split("\n")
  467
- 468    def sql(
- 469        self,
- 470        expression: t.Optional[str | exp.Expression],
- 471        key: t.Optional[str] = None,
- 472        comment: bool = True,
- 473    ) -> str:
- 474        if not expression:
- 475            return ""
- 476
- 477        if isinstance(expression, str):
- 478            return expression
- 479
- 480        if key:
- 481            return self.sql(expression.args.get(key))
- 482
- 483        if self._cache is not None:
- 484            expression_id = hash(expression)
- 485
- 486            if expression_id in self._cache:
- 487                return self._cache[expression_id]
- 488
- 489        transform = self.TRANSFORMS.get(expression.__class__)
- 490
- 491        if callable(transform):
- 492            sql = transform(self, expression)
- 493        elif transform:
- 494            sql = transform
- 495        elif isinstance(expression, exp.Expression):
- 496            exp_handler_name = f"{expression.key}_sql"
+ 468        return "\n".join(
+ 469            line
+ 470            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
+ 471            else f"{' ' * (level * self._indent + pad)}{line}"
+ 472            for i, line in enumerate(lines)
+ 473        )
+ 474
+ 475    def sql(
+ 476        self,
+ 477        expression: t.Optional[str | exp.Expression],
+ 478        key: t.Optional[str] = None,
+ 479        comment: bool = True,
+ 480    ) -> str:
+ 481        if not expression:
+ 482            return ""
+ 483
+ 484        if isinstance(expression, str):
+ 485            return expression
+ 486
+ 487        if key:
+ 488            return self.sql(expression.args.get(key))
+ 489
+ 490        if self._cache is not None:
+ 491            expression_id = hash(expression)
+ 492
+ 493            if expression_id in self._cache:
+ 494                return self._cache[expression_id]
+ 495
+ 496        transform = self.TRANSFORMS.get(expression.__class__)
  497
- 498            if hasattr(self, exp_handler_name):
- 499                sql = getattr(self, exp_handler_name)(expression)
- 500            elif isinstance(expression, exp.Func):
- 501                sql = self.function_fallback_sql(expression)
- 502            elif isinstance(expression, exp.Property):
- 503                sql = self.property_sql(expression)
- 504            else:
- 505                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
- 506        else:
- 507            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
- 508
- 509        sql = self.maybe_comment(sql, expression) if self.comments and comment else sql
- 510
- 511        if self._cache is not None:
- 512            self._cache[expression_id] = sql
- 513        return sql
- 514
- 515    def uncache_sql(self, expression: exp.Uncache) -> str:
- 516        table = self.sql(expression, "this")
- 517        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
- 518        return f"UNCACHE TABLE{exists_sql} {table}"
- 519
- 520    def cache_sql(self, expression: exp.Cache) -> str:
- 521        lazy = " LAZY" if expression.args.get("lazy") else ""
- 522        table = self.sql(expression, "this")
- 523        options = expression.args.get("options")
- 524        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
- 525        sql = self.sql(expression, "expression")
- 526        sql = f" AS{self.sep()}{sql}" if sql else ""
- 527        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
- 528        return self.prepend_ctes(expression, sql)
- 529
- 530    def characterset_sql(self, expression: exp.CharacterSet) -> str:
- 531        if isinstance(expression.parent, exp.Cast):
- 532            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
- 533        default = "DEFAULT " if expression.args.get("default") else ""
- 534        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
- 535
- 536    def column_sql(self, expression: exp.Column) -> str:
- 537        return ".".join(
- 538            self.sql(part)
- 539            for part in (
- 540                expression.args.get("catalog"),
- 541                expression.args.get("db"),
- 542                expression.args.get("table"),
- 543                expression.args.get("this"),
- 544            )
- 545            if part
- 546        )
- 547
- 548    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
- 549        this = self.sql(expression, "this")
- 550        this = f" {this}" if this else ""
- 551        position = self.sql(expression, "position")
- 552        return f"{position}{this}"
- 553
- 554    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
- 555        column = self.sql(expression, "this")
- 556        kind = self.sql(expression, "kind")
- 557        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
- 558        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
- 559        kind = f"{sep}{kind}" if kind else ""
- 560        constraints = f" {constraints}" if constraints else ""
- 561        position = self.sql(expression, "position")
- 562        position = f" {position}" if position else ""
- 563
- 564        return f"{exists}{column}{kind}{constraints}{position}"
- 565
- 566    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
- 567        this = self.sql(expression, "this")
- 568        kind_sql = self.sql(expression, "kind").strip()
- 569        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
+ 498        if callable(transform):
+ 499            sql = transform(self, expression)
+ 500        elif transform:
+ 501            sql = transform
+ 502        elif isinstance(expression, exp.Expression):
+ 503            exp_handler_name = f"{expression.key}_sql"
+ 504
+ 505            if hasattr(self, exp_handler_name):
+ 506                sql = getattr(self, exp_handler_name)(expression)
+ 507            elif isinstance(expression, exp.Func):
+ 508                sql = self.function_fallback_sql(expression)
+ 509            elif isinstance(expression, exp.Property):
+ 510                sql = self.property_sql(expression)
+ 511            else:
+ 512                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
+ 513        else:
+ 514            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
+ 515
+ 516        sql = self.maybe_comment(sql, expression) if self.comments and comment else sql
+ 517
+ 518        if self._cache is not None:
+ 519            self._cache[expression_id] = sql
+ 520        return sql
+ 521
+ 522    def uncache_sql(self, expression: exp.Uncache) -> str:
+ 523        table = self.sql(expression, "this")
+ 524        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
+ 525        return f"UNCACHE TABLE{exists_sql} {table}"
+ 526
+ 527    def cache_sql(self, expression: exp.Cache) -> str:
+ 528        lazy = " LAZY" if expression.args.get("lazy") else ""
+ 529        table = self.sql(expression, "this")
+ 530        options = expression.args.get("options")
+ 531        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
+ 532        sql = self.sql(expression, "expression")
+ 533        sql = f" AS{self.sep()}{sql}" if sql else ""
+ 534        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
+ 535        return self.prepend_ctes(expression, sql)
+ 536
+ 537    def characterset_sql(self, expression: exp.CharacterSet) -> str:
+ 538        if isinstance(expression.parent, exp.Cast):
+ 539            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
+ 540        default = "DEFAULT " if expression.args.get("default") else ""
+ 541        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
+ 542
+ 543    def column_sql(self, expression: exp.Column) -> str:
+ 544        return ".".join(
+ 545            self.sql(part)
+ 546            for part in (
+ 547                expression.args.get("catalog"),
+ 548                expression.args.get("db"),
+ 549                expression.args.get("table"),
+ 550                expression.args.get("this"),
+ 551            )
+ 552            if part
+ 553        )
+ 554
+ 555    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
+ 556        this = self.sql(expression, "this")
+ 557        this = f" {this}" if this else ""
+ 558        position = self.sql(expression, "position")
+ 559        return f"{position}{this}"
+ 560
+ 561    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
+ 562        column = self.sql(expression, "this")
+ 563        kind = self.sql(expression, "kind")
+ 564        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
+ 565        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
+ 566        kind = f"{sep}{kind}" if kind else ""
+ 567        constraints = f" {constraints}" if constraints else ""
+ 568        position = self.sql(expression, "position")
+ 569        position = f" {position}" if position else ""
  570
- 571    def autoincrementcolumnconstraint_sql(self, _) -> str:
- 572        return self.token_sql(TokenType.AUTO_INCREMENT)
- 573
- 574    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
- 575        if isinstance(expression.this, list):
- 576            this = self.wrap(self.expressions(expression, key="this", flat=True))
- 577        else:
- 578            this = self.sql(expression, "this")
- 579
- 580        return f"COMPRESS {this}"
- 581
- 582    def generatedasidentitycolumnconstraint_sql(
- 583        self, expression: exp.GeneratedAsIdentityColumnConstraint
- 584    ) -> str:
- 585        this = ""
- 586        if expression.this is not None:
- 587            on_null = "ON NULL " if expression.args.get("on_null") else ""
- 588            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
- 589
- 590        start = expression.args.get("start")
- 591        start = f"START WITH {start}" if start else ""
- 592        increment = expression.args.get("increment")
- 593        increment = f" INCREMENT BY {increment}" if increment else ""
- 594        minvalue = expression.args.get("minvalue")
- 595        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
- 596        maxvalue = expression.args.get("maxvalue")
- 597        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
- 598        cycle = expression.args.get("cycle")
- 599        cycle_sql = ""
- 600
- 601        if cycle is not None:
- 602            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
- 603            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
- 604
- 605        sequence_opts = ""
- 606        if start or increment or cycle_sql:
- 607            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
- 608            sequence_opts = f" ({sequence_opts.strip()})"
- 609
- 610        expr = self.sql(expression, "expression")
- 611        expr = f"({expr})" if expr else "IDENTITY"
- 612
- 613        return f"GENERATED{this}AS {expr}{sequence_opts}"
- 614
- 615    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
- 616        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
- 617
- 618    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
- 619        desc = expression.args.get("desc")
- 620        if desc is not None:
- 621            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
- 622        return f"PRIMARY KEY"
- 623
- 624    def uniquecolumnconstraint_sql(self, expression: exp.UniqueColumnConstraint) -> str:
- 625        this = self.sql(expression, "this")
- 626        this = f" {this}" if this else ""
- 627        return f"UNIQUE{this}"
- 628
- 629    def createable_sql(
- 630        self, expression: exp.Create, locations: dict[exp.Properties.Location, list[exp.Property]]
- 631    ) -> str:
- 632        return self.sql(expression, "this")
- 633
- 634    def create_sql(self, expression: exp.Create) -> str:
- 635        kind = self.sql(expression, "kind").upper()
- 636        properties = expression.args.get("properties")
- 637        properties_locs = self.locate_properties(properties) if properties else {}
- 638
- 639        this = self.createable_sql(expression, properties_locs)
+ 571        return f"{exists}{column}{kind}{constraints}{position}"
+ 572
+ 573    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
+ 574        this = self.sql(expression, "this")
+ 575        kind_sql = self.sql(expression, "kind").strip()
+ 576        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
+ 577
+ 578    def autoincrementcolumnconstraint_sql(self, _) -> str:
+ 579        return self.token_sql(TokenType.AUTO_INCREMENT)
+ 580
+ 581    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
+ 582        if isinstance(expression.this, list):
+ 583            this = self.wrap(self.expressions(expression, key="this", flat=True))
+ 584        else:
+ 585            this = self.sql(expression, "this")
+ 586
+ 587        return f"COMPRESS {this}"
+ 588
+ 589    def generatedasidentitycolumnconstraint_sql(
+ 590        self, expression: exp.GeneratedAsIdentityColumnConstraint
+ 591    ) -> str:
+ 592        this = ""
+ 593        if expression.this is not None:
+ 594            on_null = "ON NULL " if expression.args.get("on_null") else ""
+ 595            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
+ 596
+ 597        start = expression.args.get("start")
+ 598        start = f"START WITH {start}" if start else ""
+ 599        increment = expression.args.get("increment")
+ 600        increment = f" INCREMENT BY {increment}" if increment else ""
+ 601        minvalue = expression.args.get("minvalue")
+ 602        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
+ 603        maxvalue = expression.args.get("maxvalue")
+ 604        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
+ 605        cycle = expression.args.get("cycle")
+ 606        cycle_sql = ""
+ 607
+ 608        if cycle is not None:
+ 609            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
+ 610            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
+ 611
+ 612        sequence_opts = ""
+ 613        if start or increment or cycle_sql:
+ 614            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
+ 615            sequence_opts = f" ({sequence_opts.strip()})"
+ 616
+ 617        expr = self.sql(expression, "expression")
+ 618        expr = f"({expr})" if expr else "IDENTITY"
+ 619
+ 620        return f"GENERATED{this}AS {expr}{sequence_opts}"
+ 621
+ 622    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
+ 623        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
+ 624
+ 625    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
+ 626        desc = expression.args.get("desc")
+ 627        if desc is not None:
+ 628            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
+ 629        return f"PRIMARY KEY"
+ 630
+ 631    def uniquecolumnconstraint_sql(self, expression: exp.UniqueColumnConstraint) -> str:
+ 632        this = self.sql(expression, "this")
+ 633        this = f" {this}" if this else ""
+ 634        return f"UNIQUE{this}"
+ 635
+ 636    def createable_sql(
+ 637        self, expression: exp.Create, locations: dict[exp.Properties.Location, list[exp.Property]]
+ 638    ) -> str:
+ 639        return self.sql(expression, "this")
  640
- 641        properties_sql = ""
- 642        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
- 643            exp.Properties.Location.POST_WITH
- 644        ):
- 645            properties_sql = self.sql(
- 646                exp.Properties(
- 647                    expressions=[
- 648                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
- 649                        *properties_locs[exp.Properties.Location.POST_WITH],
- 650                    ]
- 651                )
- 652            )
- 653
- 654        begin = " BEGIN" if expression.args.get("begin") else ""
- 655        expression_sql = self.sql(expression, "expression")
- 656        if expression_sql:
- 657            expression_sql = f"{begin}{self.sep()}{expression_sql}"
- 658
- 659            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
- 660                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
- 661                    postalias_props_sql = self.properties(
- 662                        exp.Properties(
- 663                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
- 664                        ),
- 665                        wrapped=False,
- 666                    )
- 667                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
- 668                else:
- 669                    expression_sql = f" AS{expression_sql}"
- 670
- 671        postindex_props_sql = ""
- 672        if properties_locs.get(exp.Properties.Location.POST_INDEX):
- 673            postindex_props_sql = self.properties(
- 674                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
- 675                wrapped=False,
- 676                prefix=" ",
- 677            )
- 678
- 679        indexes = self.expressions(expression, key="indexes", indent=False, sep=" ")
- 680        indexes = f" {indexes}" if indexes else ""
- 681        index_sql = indexes + postindex_props_sql
- 682
- 683        replace = " OR REPLACE" if expression.args.get("replace") else ""
- 684        unique = " UNIQUE" if expression.args.get("unique") else ""
+ 641    def create_sql(self, expression: exp.Create) -> str:
+ 642        kind = self.sql(expression, "kind").upper()
+ 643        properties = expression.args.get("properties")
+ 644        properties_locs = self.locate_properties(properties) if properties else {}
+ 645
+ 646        this = self.createable_sql(expression, properties_locs)
+ 647
+ 648        properties_sql = ""
+ 649        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
+ 650            exp.Properties.Location.POST_WITH
+ 651        ):
+ 652            properties_sql = self.sql(
+ 653                exp.Properties(
+ 654                    expressions=[
+ 655                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
+ 656                        *properties_locs[exp.Properties.Location.POST_WITH],
+ 657                    ]
+ 658                )
+ 659            )
+ 660
+ 661        begin = " BEGIN" if expression.args.get("begin") else ""
+ 662        expression_sql = self.sql(expression, "expression")
+ 663        if expression_sql:
+ 664            expression_sql = f"{begin}{self.sep()}{expression_sql}"
+ 665
+ 666            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
+ 667                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
+ 668                    postalias_props_sql = self.properties(
+ 669                        exp.Properties(
+ 670                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
+ 671                        ),
+ 672                        wrapped=False,
+ 673                    )
+ 674                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
+ 675                else:
+ 676                    expression_sql = f" AS{expression_sql}"
+ 677
+ 678        postindex_props_sql = ""
+ 679        if properties_locs.get(exp.Properties.Location.POST_INDEX):
+ 680            postindex_props_sql = self.properties(
+ 681                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
+ 682                wrapped=False,
+ 683                prefix=" ",
+ 684            )
  685
- 686        postcreate_props_sql = ""
- 687        if properties_locs.get(exp.Properties.Location.POST_CREATE):
- 688            postcreate_props_sql = self.properties(
- 689                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
- 690                sep=" ",
- 691                prefix=" ",
- 692                wrapped=False,
- 693            )
- 694
- 695        modifiers = "".join((replace, unique, postcreate_props_sql))
- 696
- 697        postexpression_props_sql = ""
- 698        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
- 699            postexpression_props_sql = self.properties(
- 700                exp.Properties(
- 701                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
- 702                ),
- 703                sep=" ",
- 704                prefix=" ",
- 705                wrapped=False,
- 706            )
- 707
- 708        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
- 709        no_schema_binding = (
- 710            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
- 711        )
- 712
- 713        clone = self.sql(expression, "clone")
- 714        clone = f" {clone}" if clone else ""
- 715
- 716        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
- 717        return self.prepend_ctes(expression, expression_sql)
- 718
- 719    def clone_sql(self, expression: exp.Clone) -> str:
- 720        this = self.sql(expression, "this")
- 721        when = self.sql(expression, "when")
+ 686        indexes = self.expressions(expression, key="indexes", indent=False, sep=" ")
+ 687        indexes = f" {indexes}" if indexes else ""
+ 688        index_sql = indexes + postindex_props_sql
+ 689
+ 690        replace = " OR REPLACE" if expression.args.get("replace") else ""
+ 691        unique = " UNIQUE" if expression.args.get("unique") else ""
+ 692
+ 693        postcreate_props_sql = ""
+ 694        if properties_locs.get(exp.Properties.Location.POST_CREATE):
+ 695            postcreate_props_sql = self.properties(
+ 696                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
+ 697                sep=" ",
+ 698                prefix=" ",
+ 699                wrapped=False,
+ 700            )
+ 701
+ 702        modifiers = "".join((replace, unique, postcreate_props_sql))
+ 703
+ 704        postexpression_props_sql = ""
+ 705        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
+ 706            postexpression_props_sql = self.properties(
+ 707                exp.Properties(
+ 708                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
+ 709                ),
+ 710                sep=" ",
+ 711                prefix=" ",
+ 712                wrapped=False,
+ 713            )
+ 714
+ 715        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
+ 716        no_schema_binding = (
+ 717            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
+ 718        )
+ 719
+ 720        clone = self.sql(expression, "clone")
+ 721        clone = f" {clone}" if clone else ""
  722
- 723        if when:
- 724            kind = self.sql(expression, "kind")
- 725            expr = self.sql(expression, "expression")
- 726            return f"CLONE {this} {when} ({kind} => {expr})"
- 727
- 728        return f"CLONE {this}"
+ 723        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
+ 724        return self.prepend_ctes(expression, expression_sql)
+ 725
+ 726    def clone_sql(self, expression: exp.Clone) -> str:
+ 727        this = self.sql(expression, "this")
+ 728        when = self.sql(expression, "when")
  729
- 730    def describe_sql(self, expression: exp.Describe) -> str:
- 731        return f"DESCRIBE {self.sql(expression, 'this')}"
- 732
- 733    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
- 734        with_ = self.sql(expression, "with")
- 735        if with_:
- 736            sql = f"{with_}{self.sep()}{sql}"
- 737        return sql
- 738
- 739    def with_sql(self, expression: exp.With) -> str:
- 740        sql = self.expressions(expression, flat=True)
- 741        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
- 742
- 743        return f"WITH {recursive}{sql}"
- 744
- 745    def cte_sql(self, expression: exp.CTE) -> str:
- 746        alias = self.sql(expression, "alias")
- 747        return f"{alias} AS {self.wrap(expression)}"
- 748
- 749    def tablealias_sql(self, expression: exp.TableAlias) -> str:
- 750        alias = self.sql(expression, "this")
- 751        columns = self.expressions(expression, key="columns", flat=True)
- 752        columns = f"({columns})" if columns else ""
- 753        return f"{alias}{columns}"
- 754
- 755    def bitstring_sql(self, expression: exp.BitString) -> str:
- 756        this = self.sql(expression, "this")
- 757        if self.BIT_START:
- 758            return f"{self.BIT_START}{this}{self.BIT_END}"
- 759        return f"{int(this, 2)}"
- 760
- 761    def hexstring_sql(self, expression: exp.HexString) -> str:
- 762        this = self.sql(expression, "this")
- 763        if self.HEX_START:
- 764            return f"{self.HEX_START}{this}{self.HEX_END}"
- 765        return f"{int(this, 16)}"
- 766
- 767    def bytestring_sql(self, expression: exp.ByteString) -> str:
- 768        this = self.sql(expression, "this")
- 769        if self.BYTE_START:
- 770            return f"{self.BYTE_START}{this}{self.BYTE_END}"
- 771        return this
- 772
- 773    def rawstring_sql(self, expression: exp.RawString) -> str:
- 774        if self.RAW_START:
- 775            return f"{self.RAW_START}{expression.name}{self.RAW_END}"
- 776        return self.sql(exp.Literal.string(expression.name.replace("\\", "\\\\")))
- 777
- 778    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
- 779        this = self.sql(expression, "this")
- 780        specifier = self.sql(expression, "expression")
- 781        specifier = f" {specifier}" if specifier else ""
- 782        return f"{this}{specifier}"
- 783
- 784    def datatype_sql(self, expression: exp.DataType) -> str:
- 785        type_value = expression.this
- 786        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
- 787        nested = ""
- 788        interior = self.expressions(expression, flat=True)
- 789        values = ""
- 790        if interior:
- 791            if expression.args.get("nested"):
- 792                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
- 793                if expression.args.get("values") is not None:
- 794                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
- 795                    values = self.expressions(expression, key="values", flat=True)
- 796                    values = f"{delimiters[0]}{values}{delimiters[1]}"
- 797            else:
- 798                nested = f"({interior})"
- 799
- 800        return f"{type_sql}{nested}{values}"
- 801
- 802    def directory_sql(self, expression: exp.Directory) -> str:
- 803        local = "LOCAL " if expression.args.get("local") else ""
- 804        row_format = self.sql(expression, "row_format")
- 805        row_format = f" {row_format}" if row_format else ""
- 806        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
- 807
- 808    def delete_sql(self, expression: exp.Delete) -> str:
- 809        this = self.sql(expression, "this")
- 810        this = f" FROM {this}" if this else ""
- 811        using_sql = (
- 812            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
- 813            if expression.args.get("using")
- 814            else ""
- 815        )
- 816        where_sql = self.sql(expression, "where")
- 817        returning = self.sql(expression, "returning")
- 818        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
- 819        return self.prepend_ctes(expression, sql)
- 820
- 821    def drop_sql(self, expression: exp.Drop) -> str:
- 822        this = self.sql(expression, "this")
- 823        kind = expression.args["kind"]
- 824        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
- 825        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
- 826        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
- 827        cascade = " CASCADE" if expression.args.get("cascade") else ""
- 828        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
- 829        purge = " PURGE" if expression.args.get("purge") else ""
- 830        return (
- 831            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
- 832        )
- 833
- 834    def except_sql(self, expression: exp.Except) -> str:
- 835        return self.prepend_ctes(
- 836            expression,
- 837            self.set_operation(expression, self.except_op(expression)),
- 838        )
- 839
- 840    def except_op(self, expression: exp.Except) -> str:
- 841        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
+ 730        if when:
+ 731            kind = self.sql(expression, "kind")
+ 732            expr = self.sql(expression, "expression")
+ 733            return f"CLONE {this} {when} ({kind} => {expr})"
+ 734
+ 735        return f"CLONE {this}"
+ 736
+ 737    def describe_sql(self, expression: exp.Describe) -> str:
+ 738        return f"DESCRIBE {self.sql(expression, 'this')}"
+ 739
+ 740    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
+ 741        with_ = self.sql(expression, "with")
+ 742        if with_:
+ 743            sql = f"{with_}{self.sep()}{sql}"
+ 744        return sql
+ 745
+ 746    def with_sql(self, expression: exp.With) -> str:
+ 747        sql = self.expressions(expression, flat=True)
+ 748        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
+ 749
+ 750        return f"WITH {recursive}{sql}"
+ 751
+ 752    def cte_sql(self, expression: exp.CTE) -> str:
+ 753        alias = self.sql(expression, "alias")
+ 754        return f"{alias} AS {self.wrap(expression)}"
+ 755
+ 756    def tablealias_sql(self, expression: exp.TableAlias) -> str:
+ 757        alias = self.sql(expression, "this")
+ 758        columns = self.expressions(expression, key="columns", flat=True)
+ 759        columns = f"({columns})" if columns else ""
+ 760        return f"{alias}{columns}"
+ 761
+ 762    def bitstring_sql(self, expression: exp.BitString) -> str:
+ 763        this = self.sql(expression, "this")
+ 764        if self.BIT_START:
+ 765            return f"{self.BIT_START}{this}{self.BIT_END}"
+ 766        return f"{int(this, 2)}"
+ 767
+ 768    def hexstring_sql(self, expression: exp.HexString) -> str:
+ 769        this = self.sql(expression, "this")
+ 770        if self.HEX_START:
+ 771            return f"{self.HEX_START}{this}{self.HEX_END}"
+ 772        return f"{int(this, 16)}"
+ 773
+ 774    def bytestring_sql(self, expression: exp.ByteString) -> str:
+ 775        this = self.sql(expression, "this")
+ 776        if self.BYTE_START:
+ 777            return f"{self.BYTE_START}{this}{self.BYTE_END}"
+ 778        return this
+ 779
+ 780    def rawstring_sql(self, expression: exp.RawString) -> str:
+ 781        string = expression.this
+ 782        if self.RAW_START:
+ 783            return f"{self.RAW_START}{self.escape_str(expression.this)}{self.RAW_END}"
+ 784        string = self.escape_str(string.replace("\\", "\\\\"))
+ 785        return f"{self.QUOTE_START}{string}{self.QUOTE_END}"
+ 786
+ 787    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
+ 788        this = self.sql(expression, "this")
+ 789        specifier = self.sql(expression, "expression")
+ 790        specifier = f" {specifier}" if specifier else ""
+ 791        return f"{this}{specifier}"
+ 792
+ 793    def datatype_sql(self, expression: exp.DataType) -> str:
+ 794        type_value = expression.this
+ 795        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
+ 796        nested = ""
+ 797        interior = self.expressions(expression, flat=True)
+ 798        values = ""
+ 799        if interior:
+ 800            if expression.args.get("nested"):
+ 801                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
+ 802                if expression.args.get("values") is not None:
+ 803                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
+ 804                    values = self.expressions(expression, key="values", flat=True)
+ 805                    values = f"{delimiters[0]}{values}{delimiters[1]}"
+ 806            else:
+ 807                nested = f"({interior})"
+ 808
+ 809        return f"{type_sql}{nested}{values}"
+ 810
+ 811    def directory_sql(self, expression: exp.Directory) -> str:
+ 812        local = "LOCAL " if expression.args.get("local") else ""
+ 813        row_format = self.sql(expression, "row_format")
+ 814        row_format = f" {row_format}" if row_format else ""
+ 815        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
+ 816
+ 817    def delete_sql(self, expression: exp.Delete) -> str:
+ 818        this = self.sql(expression, "this")
+ 819        this = f" FROM {this}" if this else ""
+ 820        using_sql = (
+ 821            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
+ 822            if expression.args.get("using")
+ 823            else ""
+ 824        )
+ 825        where_sql = self.sql(expression, "where")
+ 826        returning = self.sql(expression, "returning")
+ 827        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
+ 828        return self.prepend_ctes(expression, sql)
+ 829
+ 830    def drop_sql(self, expression: exp.Drop) -> str:
+ 831        this = self.sql(expression, "this")
+ 832        kind = expression.args["kind"]
+ 833        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+ 834        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+ 835        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
+ 836        cascade = " CASCADE" if expression.args.get("cascade") else ""
+ 837        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
+ 838        purge = " PURGE" if expression.args.get("purge") else ""
+ 839        return (
+ 840            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
+ 841        )
  842
- 843    def fetch_sql(self, expression: exp.Fetch) -> str:
- 844        direction = expression.args.get("direction")
- 845        direction = f" {direction.upper()}" if direction else ""
- 846        count = expression.args.get("count")
- 847        count = f" {count}" if count else ""
- 848        if expression.args.get("percent"):
- 849            count = f"{count} PERCENT"
- 850        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
- 851        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
- 852
- 853    def filter_sql(self, expression: exp.Filter) -> str:
- 854        this = self.sql(expression, "this")
- 855        where = self.sql(expression, "expression")[1:]  # where has a leading space
- 856        return f"{this} FILTER({where})"
- 857
- 858    def hint_sql(self, expression: exp.Hint) -> str:
- 859        if self.sql(expression, "this"):
- 860            self.unsupported("Hints are not supported")
- 861        return ""
- 862
- 863    def index_sql(self, expression: exp.Index) -> str:
- 864        unique = "UNIQUE " if expression.args.get("unique") else ""
- 865        primary = "PRIMARY " if expression.args.get("primary") else ""
- 866        amp = "AMP " if expression.args.get("amp") else ""
- 867        name = f"{expression.name} " if expression.name else ""
- 868        table = self.sql(expression, "table")
- 869        table = f"{self.INDEX_ON} {table} " if table else ""
- 870        using = self.sql(expression, "using")
- 871        using = f"USING {using} " if using else ""
- 872        index = "INDEX " if not table else ""
- 873        columns = self.expressions(expression, key="columns", flat=True)
- 874        columns = f"({columns})" if columns else ""
- 875        partition_by = self.expressions(expression, key="partition_by", flat=True)
- 876        partition_by = f" PARTITION BY {partition_by}" if partition_by else ""
- 877        return f"{unique}{primary}{amp}{index}{name}{table}{using}{columns}{partition_by}"
- 878
- 879    def identifier_sql(self, expression: exp.Identifier) -> str:
- 880        text = expression.name
- 881        lower = text.lower()
- 882        text = lower if self.normalize and not expression.quoted else text
- 883        text = text.replace(self.IDENTIFIER_END, self._escaped_identifier_end)
- 884        if (
- 885            expression.quoted
- 886            or should_identify(text, self.identify)
- 887            or lower in self.RESERVED_KEYWORDS
- 888            or (not self.IDENTIFIERS_CAN_START_WITH_DIGIT and text[:1].isdigit())
- 889        ):
- 890            text = f"{self.IDENTIFIER_START}{text}{self.IDENTIFIER_END}"
- 891        return text
- 892
- 893    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
- 894        input_format = self.sql(expression, "input_format")
- 895        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
- 896        output_format = self.sql(expression, "output_format")
- 897        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
- 898        return self.sep().join((input_format, output_format))
- 899
- 900    def national_sql(self, expression: exp.National, prefix: str = "N") -> str:
- 901        string = self.sql(exp.Literal.string(expression.name))
- 902        return f"{prefix}{string}"
- 903
- 904    def partition_sql(self, expression: exp.Partition) -> str:
- 905        return f"PARTITION({self.expressions(expression)})"
- 906
- 907    def properties_sql(self, expression: exp.Properties) -> str:
- 908        root_properties = []
- 909        with_properties = []
- 910
- 911        for p in expression.expressions:
- 912            p_loc = self.PROPERTIES_LOCATION[p.__class__]
- 913            if p_loc == exp.Properties.Location.POST_WITH:
- 914                with_properties.append(p)
- 915            elif p_loc == exp.Properties.Location.POST_SCHEMA:
- 916                root_properties.append(p)
- 917
- 918        return self.root_properties(
- 919            exp.Properties(expressions=root_properties)
- 920        ) + self.with_properties(exp.Properties(expressions=with_properties))
- 921
- 922    def root_properties(self, properties: exp.Properties) -> str:
- 923        if properties.expressions:
- 924            return self.sep() + self.expressions(properties, indent=False, sep=" ")
- 925        return ""
+ 843    def except_sql(self, expression: exp.Except) -> str:
+ 844        return self.prepend_ctes(
+ 845            expression,
+ 846            self.set_operation(expression, self.except_op(expression)),
+ 847        )
+ 848
+ 849    def except_op(self, expression: exp.Except) -> str:
+ 850        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
+ 851
+ 852    def fetch_sql(self, expression: exp.Fetch) -> str:
+ 853        direction = expression.args.get("direction")
+ 854        direction = f" {direction.upper()}" if direction else ""
+ 855        count = expression.args.get("count")
+ 856        count = f" {count}" if count else ""
+ 857        if expression.args.get("percent"):
+ 858            count = f"{count} PERCENT"
+ 859        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
+ 860        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
+ 861
+ 862    def filter_sql(self, expression: exp.Filter) -> str:
+ 863        this = self.sql(expression, "this")
+ 864        where = self.sql(expression, "expression")[1:]  # where has a leading space
+ 865        return f"{this} FILTER({where})"
+ 866
+ 867    def hint_sql(self, expression: exp.Hint) -> str:
+ 868        if self.sql(expression, "this"):
+ 869            self.unsupported("Hints are not supported")
+ 870        return ""
+ 871
+ 872    def index_sql(self, expression: exp.Index) -> str:
+ 873        unique = "UNIQUE " if expression.args.get("unique") else ""
+ 874        primary = "PRIMARY " if expression.args.get("primary") else ""
+ 875        amp = "AMP " if expression.args.get("amp") else ""
+ 876        name = f"{expression.name} " if expression.name else ""
+ 877        table = self.sql(expression, "table")
+ 878        table = f"{self.INDEX_ON} {table} " if table else ""
+ 879        using = self.sql(expression, "using")
+ 880        using = f"USING {using} " if using else ""
+ 881        index = "INDEX " if not table else ""
+ 882        columns = self.expressions(expression, key="columns", flat=True)
+ 883        columns = f"({columns})" if columns else ""
+ 884        partition_by = self.expressions(expression, key="partition_by", flat=True)
+ 885        partition_by = f" PARTITION BY {partition_by}" if partition_by else ""
+ 886        return f"{unique}{primary}{amp}{index}{name}{table}{using}{columns}{partition_by}"
+ 887
+ 888    def identifier_sql(self, expression: exp.Identifier) -> str:
+ 889        text = expression.name
+ 890        lower = text.lower()
+ 891        text = lower if self.normalize and not expression.quoted else text
+ 892        text = text.replace(self.IDENTIFIER_END, self._escaped_identifier_end)
+ 893        if (
+ 894            expression.quoted
+ 895            or self.can_identify(text, self.identify)
+ 896            or lower in self.RESERVED_KEYWORDS
+ 897            or (not self.IDENTIFIERS_CAN_START_WITH_DIGIT and text[:1].isdigit())
+ 898        ):
+ 899            text = f"{self.IDENTIFIER_START}{text}{self.IDENTIFIER_END}"
+ 900        return text
+ 901
+ 902    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
+ 903        input_format = self.sql(expression, "input_format")
+ 904        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
+ 905        output_format = self.sql(expression, "output_format")
+ 906        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
+ 907        return self.sep().join((input_format, output_format))
+ 908
+ 909    def national_sql(self, expression: exp.National, prefix: str = "N") -> str:
+ 910        string = self.sql(exp.Literal.string(expression.name))
+ 911        return f"{prefix}{string}"
+ 912
+ 913    def partition_sql(self, expression: exp.Partition) -> str:
+ 914        return f"PARTITION({self.expressions(expression)})"
+ 915
+ 916    def properties_sql(self, expression: exp.Properties) -> str:
+ 917        root_properties = []
+ 918        with_properties = []
+ 919
+ 920        for p in expression.expressions:
+ 921            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+ 922            if p_loc == exp.Properties.Location.POST_WITH:
+ 923                with_properties.append(p)
+ 924            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+ 925                root_properties.append(p)
  926
- 927    def properties(
- 928        self,
- 929        properties: exp.Properties,
- 930        prefix: str = "",
- 931        sep: str = ", ",
- 932        suffix: str = "",
- 933        wrapped: bool = True,
- 934    ) -> str:
- 935        if properties.expressions:
- 936            expressions = self.expressions(properties, sep=sep, indent=False)
- 937            expressions = self.wrap(expressions) if wrapped else expressions
- 938            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
- 939        return ""
- 940
- 941    def with_properties(self, properties: exp.Properties) -> str:
- 942        return self.properties(properties, prefix=self.seg("WITH"))
- 943
- 944    def locate_properties(
- 945        self, properties: exp.Properties
- 946    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
- 947        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
- 948            key: [] for key in exp.Properties.Location
- 949        }
- 950
- 951        for p in properties.expressions:
- 952            p_loc = self.PROPERTIES_LOCATION[p.__class__]
- 953            if p_loc == exp.Properties.Location.POST_NAME:
- 954                properties_locs[exp.Properties.Location.POST_NAME].append(p)
- 955            elif p_loc == exp.Properties.Location.POST_INDEX:
- 956                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
- 957            elif p_loc == exp.Properties.Location.POST_SCHEMA:
- 958                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
- 959            elif p_loc == exp.Properties.Location.POST_WITH:
- 960                properties_locs[exp.Properties.Location.POST_WITH].append(p)
- 961            elif p_loc == exp.Properties.Location.POST_CREATE:
- 962                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
- 963            elif p_loc == exp.Properties.Location.POST_ALIAS:
- 964                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
- 965            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
- 966                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
- 967            elif p_loc == exp.Properties.Location.UNSUPPORTED:
- 968                self.unsupported(f"Unsupported property {p.key}")
- 969
- 970        return properties_locs
- 971
- 972    def property_sql(self, expression: exp.Property) -> str:
- 973        property_cls = expression.__class__
- 974        if property_cls == exp.Property:
- 975            return f"{expression.name}={self.sql(expression, 'value')}"
- 976
- 977        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
- 978        if not property_name:
- 979            self.unsupported(f"Unsupported property {expression.key}")
+ 927        return self.root_properties(
+ 928            exp.Properties(expressions=root_properties)
+ 929        ) + self.with_properties(exp.Properties(expressions=with_properties))
+ 930
+ 931    def root_properties(self, properties: exp.Properties) -> str:
+ 932        if properties.expressions:
+ 933            return self.sep() + self.expressions(properties, indent=False, sep=" ")
+ 934        return ""
+ 935
+ 936    def properties(
+ 937        self,
+ 938        properties: exp.Properties,
+ 939        prefix: str = "",
+ 940        sep: str = ", ",
+ 941        suffix: str = "",
+ 942        wrapped: bool = True,
+ 943    ) -> str:
+ 944        if properties.expressions:
+ 945            expressions = self.expressions(properties, sep=sep, indent=False)
+ 946            expressions = self.wrap(expressions) if wrapped else expressions
+ 947            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
+ 948        return ""
+ 949
+ 950    def with_properties(self, properties: exp.Properties) -> str:
+ 951        return self.properties(properties, prefix=self.seg("WITH"))
+ 952
+ 953    def locate_properties(
+ 954        self, properties: exp.Properties
+ 955    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
+ 956        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
+ 957            key: [] for key in exp.Properties.Location
+ 958        }
+ 959
+ 960        for p in properties.expressions:
+ 961            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+ 962            if p_loc == exp.Properties.Location.POST_NAME:
+ 963                properties_locs[exp.Properties.Location.POST_NAME].append(p)
+ 964            elif p_loc == exp.Properties.Location.POST_INDEX:
+ 965                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
+ 966            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+ 967                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
+ 968            elif p_loc == exp.Properties.Location.POST_WITH:
+ 969                properties_locs[exp.Properties.Location.POST_WITH].append(p)
+ 970            elif p_loc == exp.Properties.Location.POST_CREATE:
+ 971                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
+ 972            elif p_loc == exp.Properties.Location.POST_ALIAS:
+ 973                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
+ 974            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
+ 975                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
+ 976            elif p_loc == exp.Properties.Location.UNSUPPORTED:
+ 977                self.unsupported(f"Unsupported property {p.key}")
+ 978
+ 979        return properties_locs
  980
- 981        return f"{property_name}={self.sql(expression, 'this')}"
- 982
- 983    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
- 984        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
- 985        options = f" {options}" if options else ""
- 986        return f"LIKE {self.sql(expression, 'this')}{options}"
- 987
- 988    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
- 989        no = "NO " if expression.args.get("no") else ""
- 990        protection = " PROTECTION" if expression.args.get("protection") else ""
- 991        return f"{no}FALLBACK{protection}"
- 992
- 993    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
- 994        no = "NO " if expression.args.get("no") else ""
- 995        local = expression.args.get("local")
- 996        local = f"{local} " if local else ""
- 997        dual = "DUAL " if expression.args.get("dual") else ""
- 998        before = "BEFORE " if expression.args.get("before") else ""
- 999        after = "AFTER " if expression.args.get("after") else ""
-1000        return f"{no}{local}{dual}{before}{after}JOURNAL"
+ 981    def property_sql(self, expression: exp.Property) -> str:
+ 982        property_cls = expression.__class__
+ 983        if property_cls == exp.Property:
+ 984            return f"{expression.name}={self.sql(expression, 'value')}"
+ 985
+ 986        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
+ 987        if not property_name:
+ 988            self.unsupported(f"Unsupported property {expression.key}")
+ 989
+ 990        return f"{property_name}={self.sql(expression, 'this')}"
+ 991
+ 992    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
+ 993        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
+ 994        options = f" {options}" if options else ""
+ 995        return f"LIKE {self.sql(expression, 'this')}{options}"
+ 996
+ 997    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
+ 998        no = "NO " if expression.args.get("no") else ""
+ 999        protection = " PROTECTION" if expression.args.get("protection") else ""
+1000        return f"{no}FALLBACK{protection}"
 1001
-1002    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
-1003        freespace = self.sql(expression, "this")
-1004        percent = " PERCENT" if expression.args.get("percent") else ""
-1005        return f"FREESPACE={freespace}{percent}"
-1006
-1007    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
-1008        if expression.args.get("default"):
-1009            property = "DEFAULT"
-1010        elif expression.args.get("on"):
-1011            property = "ON"
-1012        else:
-1013            property = "OFF"
-1014        return f"CHECKSUM={property}"
+1002    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
+1003        no = "NO " if expression.args.get("no") else ""
+1004        local = expression.args.get("local")
+1005        local = f"{local} " if local else ""
+1006        dual = "DUAL " if expression.args.get("dual") else ""
+1007        before = "BEFORE " if expression.args.get("before") else ""
+1008        after = "AFTER " if expression.args.get("after") else ""
+1009        return f"{no}{local}{dual}{before}{after}JOURNAL"
+1010
+1011    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
+1012        freespace = self.sql(expression, "this")
+1013        percent = " PERCENT" if expression.args.get("percent") else ""
+1014        return f"FREESPACE={freespace}{percent}"
 1015
-1016    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
-1017        if expression.args.get("no"):
-1018            return "NO MERGEBLOCKRATIO"
-1019        if expression.args.get("default"):
-1020            return "DEFAULT MERGEBLOCKRATIO"
-1021
-1022        percent = " PERCENT" if expression.args.get("percent") else ""
-1023        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
+1016    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
+1017        if expression.args.get("default"):
+1018            property = "DEFAULT"
+1019        elif expression.args.get("on"):
+1020            property = "ON"
+1021        else:
+1022            property = "OFF"
+1023        return f"CHECKSUM={property}"
 1024
-1025    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
-1026        default = expression.args.get("default")
-1027        minimum = expression.args.get("minimum")
-1028        maximum = expression.args.get("maximum")
-1029        if default or minimum or maximum:
-1030            if default:
-1031                prop = "DEFAULT"
-1032            elif minimum:
-1033                prop = "MINIMUM"
-1034            else:
-1035                prop = "MAXIMUM"
-1036            return f"{prop} DATABLOCKSIZE"
-1037        units = expression.args.get("units")
-1038        units = f" {units}" if units else ""
-1039        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
-1040
-1041    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
-1042        autotemp = expression.args.get("autotemp")
-1043        always = expression.args.get("always")
-1044        default = expression.args.get("default")
-1045        manual = expression.args.get("manual")
-1046        never = expression.args.get("never")
-1047
-1048        if autotemp is not None:
-1049            prop = f"AUTOTEMP({self.expressions(autotemp)})"
-1050        elif always:
-1051            prop = "ALWAYS"
-1052        elif default:
-1053            prop = "DEFAULT"
-1054        elif manual:
-1055            prop = "MANUAL"
-1056        elif never:
-1057            prop = "NEVER"
-1058        return f"BLOCKCOMPRESSION={prop}"
-1059
-1060    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
-1061        no = expression.args.get("no")
-1062        no = " NO" if no else ""
-1063        concurrent = expression.args.get("concurrent")
-1064        concurrent = " CONCURRENT" if concurrent else ""
-1065
-1066        for_ = ""
-1067        if expression.args.get("for_all"):
-1068            for_ = " FOR ALL"
-1069        elif expression.args.get("for_insert"):
-1070            for_ = " FOR INSERT"
-1071        elif expression.args.get("for_none"):
-1072            for_ = " FOR NONE"
-1073        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
+1025    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
+1026        if expression.args.get("no"):
+1027            return "NO MERGEBLOCKRATIO"
+1028        if expression.args.get("default"):
+1029            return "DEFAULT MERGEBLOCKRATIO"
+1030
+1031        percent = " PERCENT" if expression.args.get("percent") else ""
+1032        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
+1033
+1034    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
+1035        default = expression.args.get("default")
+1036        minimum = expression.args.get("minimum")
+1037        maximum = expression.args.get("maximum")
+1038        if default or minimum or maximum:
+1039            if default:
+1040                prop = "DEFAULT"
+1041            elif minimum:
+1042                prop = "MINIMUM"
+1043            else:
+1044                prop = "MAXIMUM"
+1045            return f"{prop} DATABLOCKSIZE"
+1046        units = expression.args.get("units")
+1047        units = f" {units}" if units else ""
+1048        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
+1049
+1050    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
+1051        autotemp = expression.args.get("autotemp")
+1052        always = expression.args.get("always")
+1053        default = expression.args.get("default")
+1054        manual = expression.args.get("manual")
+1055        never = expression.args.get("never")
+1056
+1057        if autotemp is not None:
+1058            prop = f"AUTOTEMP({self.expressions(autotemp)})"
+1059        elif always:
+1060            prop = "ALWAYS"
+1061        elif default:
+1062            prop = "DEFAULT"
+1063        elif manual:
+1064            prop = "MANUAL"
+1065        elif never:
+1066            prop = "NEVER"
+1067        return f"BLOCKCOMPRESSION={prop}"
+1068
+1069    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
+1070        no = expression.args.get("no")
+1071        no = " NO" if no else ""
+1072        concurrent = expression.args.get("concurrent")
+1073        concurrent = " CONCURRENT" if concurrent else ""
 1074
-1075    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
-1076        kind = expression.args.get("kind")
-1077        this = f" {self.sql(expression, 'this')}" if expression.this else ""
-1078        for_or_in = expression.args.get("for_or_in")
-1079        lock_type = expression.args.get("lock_type")
-1080        override = " OVERRIDE" if expression.args.get("override") else ""
-1081        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
-1082
-1083    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
-1084        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
-1085        statistics = expression.args.get("statistics")
-1086        statistics_sql = ""
-1087        if statistics is not None:
-1088            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
-1089        return f"{data_sql}{statistics_sql}"
-1090
-1091    def insert_sql(self, expression: exp.Insert) -> str:
-1092        overwrite = expression.args.get("overwrite")
-1093
-1094        if isinstance(expression.this, exp.Directory):
-1095            this = "OVERWRITE " if overwrite else "INTO "
-1096        else:
-1097            this = "OVERWRITE TABLE " if overwrite else "INTO "
-1098
-1099        alternative = expression.args.get("alternative")
-1100        alternative = f" OR {alternative} " if alternative else " "
-1101        this = f"{this}{self.sql(expression, 'this')}"
+1075        for_ = ""
+1076        if expression.args.get("for_all"):
+1077            for_ = " FOR ALL"
+1078        elif expression.args.get("for_insert"):
+1079            for_ = " FOR INSERT"
+1080        elif expression.args.get("for_none"):
+1081            for_ = " FOR NONE"
+1082        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
+1083
+1084    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
+1085        kind = expression.args.get("kind")
+1086        this = f" {self.sql(expression, 'this')}" if expression.this else ""
+1087        for_or_in = expression.args.get("for_or_in")
+1088        lock_type = expression.args.get("lock_type")
+1089        override = " OVERRIDE" if expression.args.get("override") else ""
+1090        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
+1091
+1092    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
+1093        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
+1094        statistics = expression.args.get("statistics")
+1095        statistics_sql = ""
+1096        if statistics is not None:
+1097            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
+1098        return f"{data_sql}{statistics_sql}"
+1099
+1100    def insert_sql(self, expression: exp.Insert) -> str:
+1101        overwrite = expression.args.get("overwrite")
 1102
-1103        exists = " IF EXISTS " if expression.args.get("exists") else " "
-1104        partition_sql = (
-1105            self.sql(expression, "partition") if expression.args.get("partition") else ""
-1106        )
-1107        expression_sql = self.sql(expression, "expression")
-1108        conflict = self.sql(expression, "conflict")
-1109        returning = self.sql(expression, "returning")
-1110        sep = self.sep() if partition_sql else ""
-1111        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
-1112        return self.prepend_ctes(expression, sql)
-1113
-1114    def intersect_sql(self, expression: exp.Intersect) -> str:
-1115        return self.prepend_ctes(
-1116            expression,
-1117            self.set_operation(expression, self.intersect_op(expression)),
-1118        )
-1119
-1120    def intersect_op(self, expression: exp.Intersect) -> str:
-1121        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
+1103        if isinstance(expression.this, exp.Directory):
+1104            this = "OVERWRITE " if overwrite else "INTO "
+1105        else:
+1106            this = "OVERWRITE TABLE " if overwrite else "INTO "
+1107
+1108        alternative = expression.args.get("alternative")
+1109        alternative = f" OR {alternative} " if alternative else " "
+1110        this = f"{this}{self.sql(expression, 'this')}"
+1111
+1112        exists = " IF EXISTS " if expression.args.get("exists") else " "
+1113        partition_sql = (
+1114            self.sql(expression, "partition") if expression.args.get("partition") else ""
+1115        )
+1116        expression_sql = self.sql(expression, "expression")
+1117        conflict = self.sql(expression, "conflict")
+1118        returning = self.sql(expression, "returning")
+1119        sep = self.sep() if partition_sql else ""
+1120        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
+1121        return self.prepend_ctes(expression, sql)
 1122
-1123    def introducer_sql(self, expression: exp.Introducer) -> str:
-1124        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
-1125
-1126    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
-1127        return expression.name.upper()
+1123    def intersect_sql(self, expression: exp.Intersect) -> str:
+1124        return self.prepend_ctes(
+1125            expression,
+1126            self.set_operation(expression, self.intersect_op(expression)),
+1127        )
 1128
-1129    def onconflict_sql(self, expression: exp.OnConflict) -> str:
-1130        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
-1131        constraint = self.sql(expression, "constraint")
-1132        if constraint:
-1133            constraint = f"ON CONSTRAINT {constraint}"
-1134        key = self.expressions(expression, key="key", flat=True)
-1135        do = "" if expression.args.get("duplicate") else " DO "
-1136        nothing = "NOTHING" if expression.args.get("nothing") else ""
-1137        expressions = self.expressions(expression, flat=True)
-1138        if expressions:
-1139            expressions = f"UPDATE SET {expressions}"
-1140        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
-1141
-1142    def returning_sql(self, expression: exp.Returning) -> str:
-1143        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
-1144
-1145    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
-1146        fields = expression.args.get("fields")
-1147        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
-1148        escaped = expression.args.get("escaped")
-1149        escaped = f" ESCAPED BY {escaped}" if escaped else ""
-1150        items = expression.args.get("collection_items")
-1151        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
-1152        keys = expression.args.get("map_keys")
-1153        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
-1154        lines = expression.args.get("lines")
-1155        lines = f" LINES TERMINATED BY {lines}" if lines else ""
-1156        null = expression.args.get("null")
-1157        null = f" NULL DEFINED AS {null}" if null else ""
-1158        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
-1159
-1160    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
-1161        table = ".".join(
-1162            part
-1163            for part in [
-1164                self.sql(expression, "catalog"),
-1165                self.sql(expression, "db"),
-1166                self.sql(expression, "this"),
-1167            ]
-1168            if part
-1169        )
-1170
-1171        alias = self.sql(expression, "alias")
-1172        alias = f"{sep}{alias}" if alias else ""
-1173        hints = self.expressions(expression, key="hints", flat=True)
-1174        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
-1175        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1176        pivots = f" {pivots}" if pivots else ""
-1177        joins = self.expressions(expression, key="joins", sep="")
-1178        laterals = self.expressions(expression, key="laterals", sep="")
-1179        system_time = expression.args.get("system_time")
-1180        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
-1181
-1182        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
-1183
-1184    def tablesample_sql(
-1185        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
-1186    ) -> str:
-1187        if self.ALIAS_POST_TABLESAMPLE and expression.this.alias:
-1188            table = expression.this.copy()
-1189            table.set("alias", None)
-1190            this = self.sql(table)
-1191            alias = f"{sep}{self.sql(expression.this, 'alias')}"
-1192        else:
-1193            this = self.sql(expression, "this")
-1194            alias = ""
-1195        method = self.sql(expression, "method")
-1196        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
-1197        numerator = self.sql(expression, "bucket_numerator")
-1198        denominator = self.sql(expression, "bucket_denominator")
-1199        field = self.sql(expression, "bucket_field")
-1200        field = f" ON {field}" if field else ""
-1201        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
-1202        percent = self.sql(expression, "percent")
-1203        percent = f"{percent} PERCENT" if percent else ""
-1204        rows = self.sql(expression, "rows")
-1205        rows = f"{rows} ROWS" if rows else ""
-1206        size = self.sql(expression, "size")
-1207        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
-1208            size = f"{size} PERCENT"
-1209        seed = self.sql(expression, "seed")
-1210        seed = f" {seed_prefix} ({seed})" if seed else ""
-1211        kind = expression.args.get("kind", "TABLESAMPLE")
-1212        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
-1213
-1214    def pivot_sql(self, expression: exp.Pivot) -> str:
-1215        expressions = self.expressions(expression, flat=True)
-1216
-1217        if expression.this:
-1218            this = self.sql(expression, "this")
-1219            on = f"{self.seg('ON')} {expressions}"
-1220            using = self.expressions(expression, key="using", flat=True)
-1221            using = f"{self.seg('USING')} {using}" if using else ""
-1222            group = self.sql(expression, "group")
-1223            return f"PIVOT {this}{on}{using}{group}"
-1224
-1225        alias = self.sql(expression, "alias")
-1226        alias = f" AS {alias}" if alias else ""
-1227        unpivot = expression.args.get("unpivot")
-1228        direction = "UNPIVOT" if unpivot else "PIVOT"
-1229        field = self.sql(expression, "field")
-1230        return f"{direction}({expressions} FOR {field}){alias}"
-1231
-1232    def tuple_sql(self, expression: exp.Tuple) -> str:
-1233        return f"({self.expressions(expression, flat=True)})"
-1234
-1235    def update_sql(self, expression: exp.Update) -> str:
-1236        this = self.sql(expression, "this")
-1237        set_sql = self.expressions(expression, flat=True)
-1238        from_sql = self.sql(expression, "from")
-1239        where_sql = self.sql(expression, "where")
-1240        returning = self.sql(expression, "returning")
-1241        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
-1242        return self.prepend_ctes(expression, sql)
+1129    def intersect_op(self, expression: exp.Intersect) -> str:
+1130        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
+1131
+1132    def introducer_sql(self, expression: exp.Introducer) -> str:
+1133        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
+1134
+1135    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
+1136        return expression.name.upper()
+1137
+1138    def onconflict_sql(self, expression: exp.OnConflict) -> str:
+1139        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
+1140        constraint = self.sql(expression, "constraint")
+1141        if constraint:
+1142            constraint = f"ON CONSTRAINT {constraint}"
+1143        key = self.expressions(expression, key="key", flat=True)
+1144        do = "" if expression.args.get("duplicate") else " DO "
+1145        nothing = "NOTHING" if expression.args.get("nothing") else ""
+1146        expressions = self.expressions(expression, flat=True)
+1147        if expressions:
+1148            expressions = f"UPDATE SET {expressions}"
+1149        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
+1150
+1151    def returning_sql(self, expression: exp.Returning) -> str:
+1152        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
+1153
+1154    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
+1155        fields = expression.args.get("fields")
+1156        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
+1157        escaped = expression.args.get("escaped")
+1158        escaped = f" ESCAPED BY {escaped}" if escaped else ""
+1159        items = expression.args.get("collection_items")
+1160        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
+1161        keys = expression.args.get("map_keys")
+1162        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
+1163        lines = expression.args.get("lines")
+1164        lines = f" LINES TERMINATED BY {lines}" if lines else ""
+1165        null = expression.args.get("null")
+1166        null = f" NULL DEFINED AS {null}" if null else ""
+1167        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
+1168
+1169    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
+1170        table = ".".join(
+1171            part
+1172            for part in [
+1173                self.sql(expression, "catalog"),
+1174                self.sql(expression, "db"),
+1175                self.sql(expression, "this"),
+1176            ]
+1177            if part
+1178        )
+1179
+1180        alias = self.sql(expression, "alias")
+1181        alias = f"{sep}{alias}" if alias else ""
+1182        hints = self.expressions(expression, key="hints", flat=True)
+1183        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
+1184        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1185        pivots = f" {pivots}" if pivots else ""
+1186        joins = self.expressions(expression, key="joins", sep="")
+1187        laterals = self.expressions(expression, key="laterals", sep="")
+1188        system_time = expression.args.get("system_time")
+1189        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
+1190
+1191        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
+1192
+1193    def tablesample_sql(
+1194        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
+1195    ) -> str:
+1196        if self.ALIAS_POST_TABLESAMPLE and expression.this.alias:
+1197            table = expression.this.copy()
+1198            table.set("alias", None)
+1199            this = self.sql(table)
+1200            alias = f"{sep}{self.sql(expression.this, 'alias')}"
+1201        else:
+1202            this = self.sql(expression, "this")
+1203            alias = ""
+1204        method = self.sql(expression, "method")
+1205        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
+1206        numerator = self.sql(expression, "bucket_numerator")
+1207        denominator = self.sql(expression, "bucket_denominator")
+1208        field = self.sql(expression, "bucket_field")
+1209        field = f" ON {field}" if field else ""
+1210        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
+1211        percent = self.sql(expression, "percent")
+1212        percent = f"{percent} PERCENT" if percent else ""
+1213        rows = self.sql(expression, "rows")
+1214        rows = f"{rows} ROWS" if rows else ""
+1215        size = self.sql(expression, "size")
+1216        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
+1217            size = f"{size} PERCENT"
+1218        seed = self.sql(expression, "seed")
+1219        seed = f" {seed_prefix} ({seed})" if seed else ""
+1220        kind = expression.args.get("kind", "TABLESAMPLE")
+1221        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
+1222
+1223    def pivot_sql(self, expression: exp.Pivot) -> str:
+1224        expressions = self.expressions(expression, flat=True)
+1225
+1226        if expression.this:
+1227            this = self.sql(expression, "this")
+1228            on = f"{self.seg('ON')} {expressions}"
+1229            using = self.expressions(expression, key="using", flat=True)
+1230            using = f"{self.seg('USING')} {using}" if using else ""
+1231            group = self.sql(expression, "group")
+1232            return f"PIVOT {this}{on}{using}{group}"
+1233
+1234        alias = self.sql(expression, "alias")
+1235        alias = f" AS {alias}" if alias else ""
+1236        unpivot = expression.args.get("unpivot")
+1237        direction = "UNPIVOT" if unpivot else "PIVOT"
+1238        field = self.sql(expression, "field")
+1239        return f"{direction}({expressions} FOR {field}){alias}"
+1240
+1241    def tuple_sql(self, expression: exp.Tuple) -> str:
+1242        return f"({self.expressions(expression, flat=True)})"
 1243
-1244    def values_sql(self, expression: exp.Values) -> str:
-1245        args = self.expressions(expression)
-1246        alias = self.sql(expression, "alias")
-1247        values = f"VALUES{self.seg('')}{args}"
-1248        values = (
-1249            f"({values})"
-1250            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
-1251            else values
-1252        )
-1253        return f"{values} AS {alias}" if alias else values
-1254
-1255    def var_sql(self, expression: exp.Var) -> str:
-1256        return self.sql(expression, "this")
-1257
-1258    def into_sql(self, expression: exp.Into) -> str:
-1259        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
-1260        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
-1261        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
-1262
-1263    def from_sql(self, expression: exp.From) -> str:
-1264        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
-1265
-1266    def group_sql(self, expression: exp.Group) -> str:
-1267        group_by = self.op_expressions("GROUP BY", expression)
-1268        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
-1269        grouping_sets = (
-1270            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
-1271        )
-1272
-1273        cube = expression.args.get("cube", [])
-1274        if seq_get(cube, 0) is True:
-1275            return f"{group_by}{self.seg('WITH CUBE')}"
-1276        else:
-1277            cube_sql = self.expressions(expression, key="cube", indent=False)
-1278            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
-1279
-1280        rollup = expression.args.get("rollup", [])
-1281        if seq_get(rollup, 0) is True:
-1282            return f"{group_by}{self.seg('WITH ROLLUP')}"
-1283        else:
-1284            rollup_sql = self.expressions(expression, key="rollup", indent=False)
-1285            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
-1286
-1287        groupings = csv(
-1288            grouping_sets,
-1289            cube_sql,
-1290            rollup_sql,
-1291            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
-1292            sep=self.GROUPINGS_SEP,
-1293        )
-1294
-1295        if expression.args.get("expressions") and groupings:
-1296            group_by = f"{group_by}{self.GROUPINGS_SEP}"
-1297
-1298        return f"{group_by}{groupings}"
-1299
-1300    def having_sql(self, expression: exp.Having) -> str:
-1301        this = self.indent(self.sql(expression, "this"))
-1302        return f"{self.seg('HAVING')}{self.sep()}{this}"
+1244    def update_sql(self, expression: exp.Update) -> str:
+1245        this = self.sql(expression, "this")
+1246        set_sql = self.expressions(expression, flat=True)
+1247        from_sql = self.sql(expression, "from")
+1248        where_sql = self.sql(expression, "where")
+1249        returning = self.sql(expression, "returning")
+1250        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
+1251        return self.prepend_ctes(expression, sql)
+1252
+1253    def values_sql(self, expression: exp.Values) -> str:
+1254        args = self.expressions(expression)
+1255        alias = self.sql(expression, "alias")
+1256        values = f"VALUES{self.seg('')}{args}"
+1257        values = (
+1258            f"({values})"
+1259            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
+1260            else values
+1261        )
+1262        return f"{values} AS {alias}" if alias else values
+1263
+1264    def var_sql(self, expression: exp.Var) -> str:
+1265        return self.sql(expression, "this")
+1266
+1267    def into_sql(self, expression: exp.Into) -> str:
+1268        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+1269        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
+1270        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
+1271
+1272    def from_sql(self, expression: exp.From) -> str:
+1273        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
+1274
+1275    def group_sql(self, expression: exp.Group) -> str:
+1276        group_by = self.op_expressions("GROUP BY", expression)
+1277        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
+1278        grouping_sets = (
+1279            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
+1280        )
+1281
+1282        cube = expression.args.get("cube", [])
+1283        if seq_get(cube, 0) is True:
+1284            return f"{group_by}{self.seg('WITH CUBE')}"
+1285        else:
+1286            cube_sql = self.expressions(expression, key="cube", indent=False)
+1287            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
+1288
+1289        rollup = expression.args.get("rollup", [])
+1290        if seq_get(rollup, 0) is True:
+1291            return f"{group_by}{self.seg('WITH ROLLUP')}"
+1292        else:
+1293            rollup_sql = self.expressions(expression, key="rollup", indent=False)
+1294            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
+1295
+1296        groupings = csv(
+1297            grouping_sets,
+1298            cube_sql,
+1299            rollup_sql,
+1300            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
+1301            sep=self.GROUPINGS_SEP,
+1302        )
 1303
-1304    def join_sql(self, expression: exp.Join) -> str:
-1305        op_sql = " ".join(
-1306            op
-1307            for op in (
-1308                expression.method,
-1309                "GLOBAL" if expression.args.get("global") else None,
-1310                expression.side,
-1311                expression.kind,
-1312                expression.hint if self.JOIN_HINTS else None,
-1313            )
-1314            if op
-1315        )
-1316        on_sql = self.sql(expression, "on")
-1317        using = expression.args.get("using")
-1318
-1319        if not on_sql and using:
-1320            on_sql = csv(*(self.sql(column) for column in using))
-1321
-1322        this_sql = self.sql(expression, "this")
-1323
-1324        if on_sql:
-1325            on_sql = self.indent(on_sql, skip_first=True)
-1326            space = self.seg(" " * self.pad) if self.pretty else " "
-1327            if using:
-1328                on_sql = f"{space}USING ({on_sql})"
-1329            else:
-1330                on_sql = f"{space}ON {on_sql}"
-1331        elif not op_sql:
-1332            return f", {this_sql}"
-1333
-1334        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
-1335        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
-1336
-1337    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
-1338        args = self.expressions(expression, flat=True)
-1339        args = f"({args})" if len(args.split(",")) > 1 else args
-1340        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
-1341
-1342    def lateral_sql(self, expression: exp.Lateral) -> str:
-1343        this = self.sql(expression, "this")
-1344
-1345        if isinstance(expression.this, exp.Subquery):
-1346            return f"LATERAL {this}"
-1347
-1348        if expression.args.get("view"):
-1349            alias = expression.args["alias"]
-1350            columns = self.expressions(alias, key="columns", flat=True)
-1351            table = f" {alias.name}" if alias.name else ""
-1352            columns = f" AS {columns}" if columns else ""
-1353            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
-1354            return f"{op_sql}{self.sep()}{this}{table}{columns}"
-1355
-1356        alias = self.sql(expression, "alias")
-1357        alias = f" AS {alias}" if alias else ""
-1358        return f"LATERAL {this}{alias}"
-1359
-1360    def limit_sql(self, expression: exp.Limit) -> str:
-1361        this = self.sql(expression, "this")
-1362        args = ", ".join(
-1363            sql
-1364            for sql in (
-1365                self.sql(expression, "offset"),
-1366                self.sql(expression, "expression"),
-1367            )
-1368            if sql
-1369        )
-1370        return f"{this}{self.seg('LIMIT')} {args}"
-1371
-1372    def offset_sql(self, expression: exp.Offset) -> str:
-1373        this = self.sql(expression, "this")
-1374        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
-1375
-1376    def setitem_sql(self, expression: exp.SetItem) -> str:
-1377        kind = self.sql(expression, "kind")
-1378        kind = f"{kind} " if kind else ""
-1379        this = self.sql(expression, "this")
-1380        expressions = self.expressions(expression)
-1381        collate = self.sql(expression, "collate")
-1382        collate = f" COLLATE {collate}" if collate else ""
-1383        global_ = "GLOBAL " if expression.args.get("global") else ""
-1384        return f"{global_}{kind}{this}{expressions}{collate}"
-1385
-1386    def set_sql(self, expression: exp.Set) -> str:
-1387        expressions = (
-1388            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
-1389        )
-1390        return f"SET{expressions}"
-1391
-1392    def pragma_sql(self, expression: exp.Pragma) -> str:
-1393        return f"PRAGMA {self.sql(expression, 'this')}"
+1304        if expression.args.get("expressions") and groupings:
+1305            group_by = f"{group_by}{self.GROUPINGS_SEP}"
+1306
+1307        return f"{group_by}{groupings}"
+1308
+1309    def having_sql(self, expression: exp.Having) -> str:
+1310        this = self.indent(self.sql(expression, "this"))
+1311        return f"{self.seg('HAVING')}{self.sep()}{this}"
+1312
+1313    def join_sql(self, expression: exp.Join) -> str:
+1314        op_sql = " ".join(
+1315            op
+1316            for op in (
+1317                expression.method,
+1318                "GLOBAL" if expression.args.get("global") else None,
+1319                expression.side,
+1320                expression.kind,
+1321                expression.hint if self.JOIN_HINTS else None,
+1322            )
+1323            if op
+1324        )
+1325        on_sql = self.sql(expression, "on")
+1326        using = expression.args.get("using")
+1327
+1328        if not on_sql and using:
+1329            on_sql = csv(*(self.sql(column) for column in using))
+1330
+1331        this_sql = self.sql(expression, "this")
+1332
+1333        if on_sql:
+1334            on_sql = self.indent(on_sql, skip_first=True)
+1335            space = self.seg(" " * self.pad) if self.pretty else " "
+1336            if using:
+1337                on_sql = f"{space}USING ({on_sql})"
+1338            else:
+1339                on_sql = f"{space}ON {on_sql}"
+1340        elif not op_sql:
+1341            return f", {this_sql}"
+1342
+1343        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
+1344        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
+1345
+1346    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
+1347        args = self.expressions(expression, flat=True)
+1348        args = f"({args})" if len(args.split(",")) > 1 else args
+1349        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
+1350
+1351    def lateral_sql(self, expression: exp.Lateral) -> str:
+1352        this = self.sql(expression, "this")
+1353
+1354        if isinstance(expression.this, exp.Subquery):
+1355            return f"LATERAL {this}"
+1356
+1357        if expression.args.get("view"):
+1358            alias = expression.args["alias"]
+1359            columns = self.expressions(alias, key="columns", flat=True)
+1360            table = f" {alias.name}" if alias.name else ""
+1361            columns = f" AS {columns}" if columns else ""
+1362            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
+1363            return f"{op_sql}{self.sep()}{this}{table}{columns}"
+1364
+1365        alias = self.sql(expression, "alias")
+1366        alias = f" AS {alias}" if alias else ""
+1367        return f"LATERAL {this}{alias}"
+1368
+1369    def limit_sql(self, expression: exp.Limit) -> str:
+1370        this = self.sql(expression, "this")
+1371        args = ", ".join(
+1372            sql
+1373            for sql in (
+1374                self.sql(expression, "offset"),
+1375                self.sql(expression, "expression"),
+1376            )
+1377            if sql
+1378        )
+1379        return f"{this}{self.seg('LIMIT')} {args}"
+1380
+1381    def offset_sql(self, expression: exp.Offset) -> str:
+1382        this = self.sql(expression, "this")
+1383        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
+1384
+1385    def setitem_sql(self, expression: exp.SetItem) -> str:
+1386        kind = self.sql(expression, "kind")
+1387        kind = f"{kind} " if kind else ""
+1388        this = self.sql(expression, "this")
+1389        expressions = self.expressions(expression)
+1390        collate = self.sql(expression, "collate")
+1391        collate = f" COLLATE {collate}" if collate else ""
+1392        global_ = "GLOBAL " if expression.args.get("global") else ""
+1393        return f"{global_}{kind}{this}{expressions}{collate}"
 1394
-1395    def lock_sql(self, expression: exp.Lock) -> str:
-1396        if not self.LOCKING_READS_SUPPORTED:
-1397            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
-1398            return ""
-1399
-1400        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
-1401        expressions = self.expressions(expression, flat=True)
-1402        expressions = f" OF {expressions}" if expressions else ""
-1403        wait = expression.args.get("wait")
-1404
-1405        if wait is not None:
-1406            if isinstance(wait, exp.Literal):
-1407                wait = f" WAIT {self.sql(wait)}"
-1408            else:
-1409                wait = " NOWAIT" if wait else " SKIP LOCKED"
-1410
-1411        return f"{lock_type}{expressions}{wait or ''}"
-1412
-1413    def literal_sql(self, expression: exp.Literal) -> str:
-1414        text = expression.this or ""
-1415        if expression.is_string:
-1416            text = text.replace(self.QUOTE_END, self._escaped_quote_end)
-1417            if self.pretty:
-1418                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
-1419            text = f"{self.QUOTE_START}{text}{self.QUOTE_END}"
-1420        return text
+1395    def set_sql(self, expression: exp.Set) -> str:
+1396        expressions = (
+1397            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
+1398        )
+1399        return f"SET{expressions}"
+1400
+1401    def pragma_sql(self, expression: exp.Pragma) -> str:
+1402        return f"PRAGMA {self.sql(expression, 'this')}"
+1403
+1404    def lock_sql(self, expression: exp.Lock) -> str:
+1405        if not self.LOCKING_READS_SUPPORTED:
+1406            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
+1407            return ""
+1408
+1409        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
+1410        expressions = self.expressions(expression, flat=True)
+1411        expressions = f" OF {expressions}" if expressions else ""
+1412        wait = expression.args.get("wait")
+1413
+1414        if wait is not None:
+1415            if isinstance(wait, exp.Literal):
+1416                wait = f" WAIT {self.sql(wait)}"
+1417            else:
+1418                wait = " NOWAIT" if wait else " SKIP LOCKED"
+1419
+1420        return f"{lock_type}{expressions}{wait or ''}"
 1421
-1422    def loaddata_sql(self, expression: exp.LoadData) -> str:
-1423        local = " LOCAL" if expression.args.get("local") else ""
-1424        inpath = f" INPATH {self.sql(expression, 'inpath')}"
-1425        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
-1426        this = f" INTO TABLE {self.sql(expression, 'this')}"
-1427        partition = self.sql(expression, "partition")
-1428        partition = f" {partition}" if partition else ""
-1429        input_format = self.sql(expression, "input_format")
-1430        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
-1431        serde = self.sql(expression, "serde")
-1432        serde = f" SERDE {serde}" if serde else ""
-1433        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
-1434
-1435    def null_sql(self, *_) -> str:
-1436        return "NULL"
-1437
-1438    def boolean_sql(self, expression: exp.Boolean) -> str:
-1439        return "TRUE" if expression.this else "FALSE"
-1440
-1441    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
-1442        this = self.sql(expression, "this")
-1443        this = f"{this} " if this else this
-1444        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
-1445
-1446    def cluster_sql(self, expression: exp.Cluster) -> str:
-1447        return self.op_expressions("CLUSTER BY", expression)
-1448
-1449    def distribute_sql(self, expression: exp.Distribute) -> str:
-1450        return self.op_expressions("DISTRIBUTE BY", expression)
-1451
-1452    def sort_sql(self, expression: exp.Sort) -> str:
-1453        return self.op_expressions("SORT BY", expression)
-1454
-1455    def ordered_sql(self, expression: exp.Ordered) -> str:
-1456        desc = expression.args.get("desc")
-1457        asc = not desc
-1458
-1459        nulls_first = expression.args.get("nulls_first")
-1460        nulls_last = not nulls_first
-1461        nulls_are_large = self.NULL_ORDERING == "nulls_are_large"
-1462        nulls_are_small = self.NULL_ORDERING == "nulls_are_small"
-1463        nulls_are_last = self.NULL_ORDERING == "nulls_are_last"
-1464
-1465        sort_order = " DESC" if desc else ""
-1466        nulls_sort_change = ""
-1467        if nulls_first and (
-1468            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
-1469        ):
-1470            nulls_sort_change = " NULLS FIRST"
-1471        elif (
-1472            nulls_last
-1473            and ((asc and nulls_are_small) or (desc and nulls_are_large))
-1474            and not nulls_are_last
-1475        ):
-1476            nulls_sort_change = " NULLS LAST"
-1477
-1478        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
-1479            self.unsupported(
-1480                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
-1481            )
-1482            nulls_sort_change = ""
-1483
-1484        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
-1485
-1486    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
-1487        partition = self.partition_by_sql(expression)
-1488        order = self.sql(expression, "order")
-1489        measures = self.expressions(expression, key="measures")
-1490        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
-1491        rows = self.sql(expression, "rows")
-1492        rows = self.seg(rows) if rows else ""
-1493        after = self.sql(expression, "after")
-1494        after = self.seg(after) if after else ""
-1495        pattern = self.sql(expression, "pattern")
-1496        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
-1497        definition_sqls = [
-1498            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
-1499            for definition in expression.args.get("define", [])
-1500        ]
-1501        definitions = self.expressions(sqls=definition_sqls)
-1502        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
-1503        body = "".join(
-1504            (
-1505                partition,
-1506                order,
-1507                measures,
-1508                rows,
-1509                after,
-1510                pattern,
-1511                define,
-1512            )
-1513        )
-1514        alias = self.sql(expression, "alias")
-1515        alias = f" {alias}" if alias else ""
-1516        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
-1517
-1518    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
-1519        limit: t.Optional[exp.Fetch | exp.Limit] = expression.args.get("limit")
-1520
-1521        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
-1522            limit = exp.Limit(expression=limit.args.get("count"))
-1523        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
-1524            limit = exp.Fetch(direction="FIRST", count=limit.expression)
-1525
-1526        fetch = isinstance(limit, exp.Fetch)
-1527
-1528        return csv(
-1529            *sqls,
-1530            *[self.sql(join) for join in expression.args.get("joins") or []],
-1531            self.sql(expression, "match"),
-1532            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
-1533            self.sql(expression, "where"),
-1534            self.sql(expression, "group"),
-1535            self.sql(expression, "having"),
-1536            *self.after_having_modifiers(expression),
-1537            self.sql(expression, "order"),
-1538            *self.offset_limit_modifiers(expression, fetch, limit),
-1539            *self.after_limit_modifiers(expression),
-1540            sep="",
-1541        )
-1542
-1543    def offset_limit_modifiers(
-1544        self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
-1545    ) -> t.List[str]:
-1546        return [
-1547            self.sql(expression, "offset") if fetch else self.sql(limit),
-1548            self.sql(limit) if fetch else self.sql(expression, "offset"),
-1549        ]
-1550
-1551    def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
-1552        return [
-1553            self.sql(expression, "qualify"),
-1554            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
-1555            if expression.args.get("windows")
-1556            else "",
-1557        ]
-1558
-1559    def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
-1560        locks = self.expressions(expression, key="locks", sep=" ")
-1561        locks = f" {locks}" if locks else ""
-1562        return [locks, self.sql(expression, "sample")]
-1563
-1564    def select_sql(self, expression: exp.Select) -> str:
-1565        hint = self.sql(expression, "hint")
-1566        distinct = self.sql(expression, "distinct")
-1567        distinct = f" {distinct}" if distinct else ""
-1568        kind = expression.args.get("kind")
-1569        kind = f" AS {kind}" if kind else ""
-1570        expressions = self.expressions(expression)
-1571        expressions = f"{self.sep()}{expressions}" if expressions else expressions
-1572        sql = self.query_modifiers(
-1573            expression,
-1574            f"SELECT{hint}{distinct}{kind}{expressions}",
-1575            self.sql(expression, "into", comment=False),
-1576            self.sql(expression, "from", comment=False),
-1577        )
-1578        return self.prepend_ctes(expression, sql)
-1579
-1580    def schema_sql(self, expression: exp.Schema) -> str:
-1581        this = self.sql(expression, "this")
-1582        this = f"{this} " if this else ""
-1583        sql = self.schema_columns_sql(expression)
-1584        return f"{this}{sql}"
-1585
-1586    def schema_columns_sql(self, expression: exp.Schema) -> str:
-1587        return f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
-1588
-1589    def star_sql(self, expression: exp.Star) -> str:
-1590        except_ = self.expressions(expression, key="except", flat=True)
-1591        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
-1592        replace = self.expressions(expression, key="replace", flat=True)
-1593        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
-1594        return f"*{except_}{replace}"
-1595
-1596    def parameter_sql(self, expression: exp.Parameter) -> str:
-1597        this = self.sql(expression, "this")
-1598        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
-1599        return f"{self.PARAMETER_TOKEN}{this}"
-1600
-1601    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
-1602        this = self.sql(expression, "this")
-1603        kind = expression.text("kind")
-1604        if kind:
-1605            kind = f"{kind}."
-1606        return f"@@{kind}{this}"
-1607
-1608    def placeholder_sql(self, expression: exp.Placeholder) -> str:
-1609        return f":{expression.name}" if expression.name else "?"
-1610
-1611    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
-1612        alias = self.sql(expression, "alias")
-1613        alias = f"{sep}{alias}" if alias else ""
-1614
-1615        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1616        pivots = f" {pivots}" if pivots else ""
-1617
-1618        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
-1619        return self.prepend_ctes(expression, sql)
-1620
-1621    def qualify_sql(self, expression: exp.Qualify) -> str:
-1622        this = self.indent(self.sql(expression, "this"))
-1623        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
-1624
-1625    def union_sql(self, expression: exp.Union) -> str:
-1626        return self.prepend_ctes(
-1627            expression,
-1628            self.set_operation(expression, self.union_op(expression)),
-1629        )
-1630
-1631    def union_op(self, expression: exp.Union) -> str:
-1632        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
-1633        kind = kind if expression.args.get("distinct") else " ALL"
-1634        return f"UNION{kind}"
-1635
-1636    def unnest_sql(self, expression: exp.Unnest) -> str:
-1637        args = self.expressions(expression, flat=True)
-1638        alias = expression.args.get("alias")
-1639        if alias and self.UNNEST_COLUMN_ONLY:
-1640            columns = alias.columns
-1641            alias = self.sql(columns[0]) if columns else ""
-1642        else:
-1643            alias = self.sql(expression, "alias")
-1644        alias = f" AS {alias}" if alias else alias
-1645        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
-1646        offset = expression.args.get("offset")
-1647        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
-1648        return f"UNNEST({args}){ordinality}{alias}{offset}"
-1649
-1650    def where_sql(self, expression: exp.Where) -> str:
-1651        this = self.indent(self.sql(expression, "this"))
-1652        return f"{self.seg('WHERE')}{self.sep()}{this}"
+1422    def literal_sql(self, expression: exp.Literal) -> str:
+1423        text = expression.this or ""
+1424        if expression.is_string:
+1425            text = f"{self.QUOTE_START}{self.escape_str(text)}{self.QUOTE_END}"
+1426        return text
+1427
+1428    def escape_str(self, text: str) -> str:
+1429        text = text.replace(self.QUOTE_END, self._escaped_quote_end)
+1430        if self.pretty:
+1431            text = text.replace("\n", self.SENTINEL_LINE_BREAK)
+1432        return text
+1433
+1434    def loaddata_sql(self, expression: exp.LoadData) -> str:
+1435        local = " LOCAL" if expression.args.get("local") else ""
+1436        inpath = f" INPATH {self.sql(expression, 'inpath')}"
+1437        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
+1438        this = f" INTO TABLE {self.sql(expression, 'this')}"
+1439        partition = self.sql(expression, "partition")
+1440        partition = f" {partition}" if partition else ""
+1441        input_format = self.sql(expression, "input_format")
+1442        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
+1443        serde = self.sql(expression, "serde")
+1444        serde = f" SERDE {serde}" if serde else ""
+1445        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
+1446
+1447    def null_sql(self, *_) -> str:
+1448        return "NULL"
+1449
+1450    def boolean_sql(self, expression: exp.Boolean) -> str:
+1451        return "TRUE" if expression.this else "FALSE"
+1452
+1453    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
+1454        this = self.sql(expression, "this")
+1455        this = f"{this} " if this else this
+1456        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
+1457
+1458    def cluster_sql(self, expression: exp.Cluster) -> str:
+1459        return self.op_expressions("CLUSTER BY", expression)
+1460
+1461    def distribute_sql(self, expression: exp.Distribute) -> str:
+1462        return self.op_expressions("DISTRIBUTE BY", expression)
+1463
+1464    def sort_sql(self, expression: exp.Sort) -> str:
+1465        return self.op_expressions("SORT BY", expression)
+1466
+1467    def ordered_sql(self, expression: exp.Ordered) -> str:
+1468        desc = expression.args.get("desc")
+1469        asc = not desc
+1470
+1471        nulls_first = expression.args.get("nulls_first")
+1472        nulls_last = not nulls_first
+1473        nulls_are_large = self.NULL_ORDERING == "nulls_are_large"
+1474        nulls_are_small = self.NULL_ORDERING == "nulls_are_small"
+1475        nulls_are_last = self.NULL_ORDERING == "nulls_are_last"
+1476
+1477        sort_order = " DESC" if desc else ""
+1478        nulls_sort_change = ""
+1479        if nulls_first and (
+1480            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
+1481        ):
+1482            nulls_sort_change = " NULLS FIRST"
+1483        elif (
+1484            nulls_last
+1485            and ((asc and nulls_are_small) or (desc and nulls_are_large))
+1486            and not nulls_are_last
+1487        ):
+1488            nulls_sort_change = " NULLS LAST"
+1489
+1490        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
+1491            self.unsupported(
+1492                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
+1493            )
+1494            nulls_sort_change = ""
+1495
+1496        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
+1497
+1498    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
+1499        partition = self.partition_by_sql(expression)
+1500        order = self.sql(expression, "order")
+1501        measures = self.expressions(expression, key="measures")
+1502        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
+1503        rows = self.sql(expression, "rows")
+1504        rows = self.seg(rows) if rows else ""
+1505        after = self.sql(expression, "after")
+1506        after = self.seg(after) if after else ""
+1507        pattern = self.sql(expression, "pattern")
+1508        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
+1509        definition_sqls = [
+1510            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
+1511            for definition in expression.args.get("define", [])
+1512        ]
+1513        definitions = self.expressions(sqls=definition_sqls)
+1514        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
+1515        body = "".join(
+1516            (
+1517                partition,
+1518                order,
+1519                measures,
+1520                rows,
+1521                after,
+1522                pattern,
+1523                define,
+1524            )
+1525        )
+1526        alias = self.sql(expression, "alias")
+1527        alias = f" {alias}" if alias else ""
+1528        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
+1529
+1530    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
+1531        limit: t.Optional[exp.Fetch | exp.Limit] = expression.args.get("limit")
+1532
+1533        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
+1534            limit = exp.Limit(expression=limit.args.get("count"))
+1535        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
+1536            limit = exp.Fetch(direction="FIRST", count=limit.expression)
+1537
+1538        fetch = isinstance(limit, exp.Fetch)
+1539
+1540        return csv(
+1541            *sqls,
+1542            *[self.sql(join) for join in expression.args.get("joins") or []],
+1543            self.sql(expression, "match"),
+1544            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
+1545            self.sql(expression, "where"),
+1546            self.sql(expression, "group"),
+1547            self.sql(expression, "having"),
+1548            *self.after_having_modifiers(expression),
+1549            self.sql(expression, "order"),
+1550            *self.offset_limit_modifiers(expression, fetch, limit),
+1551            *self.after_limit_modifiers(expression),
+1552            sep="",
+1553        )
+1554
+1555    def offset_limit_modifiers(
+1556        self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
+1557    ) -> t.List[str]:
+1558        return [
+1559            self.sql(expression, "offset") if fetch else self.sql(limit),
+1560            self.sql(limit) if fetch else self.sql(expression, "offset"),
+1561        ]
+1562
+1563    def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1564        return [
+1565            self.sql(expression, "qualify"),
+1566            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
+1567            if expression.args.get("windows")
+1568            else "",
+1569        ]
+1570
+1571    def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1572        locks = self.expressions(expression, key="locks", sep=" ")
+1573        locks = f" {locks}" if locks else ""
+1574        return [locks, self.sql(expression, "sample")]
+1575
+1576    def select_sql(self, expression: exp.Select) -> str:
+1577        hint = self.sql(expression, "hint")
+1578        distinct = self.sql(expression, "distinct")
+1579        distinct = f" {distinct}" if distinct else ""
+1580        kind = self.sql(expression, "kind").upper()
+1581        expressions = self.expressions(expression)
+1582
+1583        if kind:
+1584            if kind in self.SELECT_KINDS:
+1585                kind = f" AS {kind}"
+1586            else:
+1587                if kind == "STRUCT":
+1588                    expressions = self.expressions(
+1589                        sqls=[
+1590                            self.sql(
+1591                                exp.Struct(
+1592                                    expressions=[
+1593                                        exp.column(e.output_name).eq(
+1594                                            e.this if isinstance(e, exp.Alias) else e
+1595                                        )
+1596                                        for e in expression.expressions
+1597                                    ]
+1598                                )
+1599                            )
+1600                        ]
+1601                    )
+1602                kind = ""
+1603
+1604        expressions = f"{self.sep()}{expressions}" if expressions else expressions
+1605        sql = self.query_modifiers(
+1606            expression,
+1607            f"SELECT{hint}{distinct}{kind}{expressions}",
+1608            self.sql(expression, "into", comment=False),
+1609            self.sql(expression, "from", comment=False),
+1610        )
+1611        return self.prepend_ctes(expression, sql)
+1612
+1613    def schema_sql(self, expression: exp.Schema) -> str:
+1614        this = self.sql(expression, "this")
+1615        this = f"{this} " if this else ""
+1616        sql = self.schema_columns_sql(expression)
+1617        return f"{this}{sql}"
+1618
+1619    def schema_columns_sql(self, expression: exp.Schema) -> str:
+1620        return f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
+1621
+1622    def star_sql(self, expression: exp.Star) -> str:
+1623        except_ = self.expressions(expression, key="except", flat=True)
+1624        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
+1625        replace = self.expressions(expression, key="replace", flat=True)
+1626        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
+1627        return f"*{except_}{replace}"
+1628
+1629    def parameter_sql(self, expression: exp.Parameter) -> str:
+1630        this = self.sql(expression, "this")
+1631        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
+1632        return f"{self.PARAMETER_TOKEN}{this}"
+1633
+1634    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
+1635        this = self.sql(expression, "this")
+1636        kind = expression.text("kind")
+1637        if kind:
+1638            kind = f"{kind}."
+1639        return f"@@{kind}{this}"
+1640
+1641    def placeholder_sql(self, expression: exp.Placeholder) -> str:
+1642        return f":{expression.name}" if expression.name else "?"
+1643
+1644    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
+1645        alias = self.sql(expression, "alias")
+1646        alias = f"{sep}{alias}" if alias else ""
+1647
+1648        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1649        pivots = f" {pivots}" if pivots else ""
+1650
+1651        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
+1652        return self.prepend_ctes(expression, sql)
 1653
-1654    def window_sql(self, expression: exp.Window) -> str:
-1655        this = self.sql(expression, "this")
-1656        partition = self.partition_by_sql(expression)
-1657        order = expression.args.get("order")
-1658        order = self.order_sql(order, flat=True) if order else ""
-1659        spec = self.sql(expression, "spec")
-1660        alias = self.sql(expression, "alias")
-1661        over = self.sql(expression, "over") or "OVER"
-1662
-1663        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
-1664
-1665        first = expression.args.get("first")
-1666        if first is None:
-1667            first = ""
-1668        else:
-1669            first = "FIRST" if first else "LAST"
-1670
-1671        if not partition and not order and not spec and alias:
-1672            return f"{this} {alias}"
-1673
-1674        args = " ".join(arg for arg in (alias, first, partition, order, spec) if arg)
-1675        return f"{this} ({args})"
-1676
-1677    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
-1678        partition = self.expressions(expression, key="partition_by", flat=True)
-1679        return f"PARTITION BY {partition}" if partition else ""
-1680
-1681    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
-1682        kind = self.sql(expression, "kind")
-1683        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
-1684        end = (
-1685            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
-1686            or "CURRENT ROW"
-1687        )
-1688        return f"{kind} BETWEEN {start} AND {end}"
-1689
-1690    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
-1691        this = self.sql(expression, "this")
-1692        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
-1693        return f"{this} WITHIN GROUP ({expression_sql})"
-1694
-1695    def between_sql(self, expression: exp.Between) -> str:
-1696        this = self.sql(expression, "this")
-1697        low = self.sql(expression, "low")
-1698        high = self.sql(expression, "high")
-1699        return f"{this} BETWEEN {low} AND {high}"
-1700
-1701    def bracket_sql(self, expression: exp.Bracket) -> str:
-1702        expressions = apply_index_offset(expression.this, expression.expressions, self.INDEX_OFFSET)
-1703        expressions_sql = ", ".join(self.sql(e) for e in expressions)
-1704
-1705        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
+1654    def qualify_sql(self, expression: exp.Qualify) -> str:
+1655        this = self.indent(self.sql(expression, "this"))
+1656        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
+1657
+1658    def union_sql(self, expression: exp.Union) -> str:
+1659        return self.prepend_ctes(
+1660            expression,
+1661            self.set_operation(expression, self.union_op(expression)),
+1662        )
+1663
+1664    def union_op(self, expression: exp.Union) -> str:
+1665        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
+1666        kind = kind if expression.args.get("distinct") else " ALL"
+1667        return f"UNION{kind}"
+1668
+1669    def unnest_sql(self, expression: exp.Unnest) -> str:
+1670        args = self.expressions(expression, flat=True)
+1671        alias = expression.args.get("alias")
+1672        if alias and self.UNNEST_COLUMN_ONLY:
+1673            columns = alias.columns
+1674            alias = self.sql(columns[0]) if columns else ""
+1675        else:
+1676            alias = self.sql(expression, "alias")
+1677        alias = f" AS {alias}" if alias else alias
+1678        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
+1679        offset = expression.args.get("offset")
+1680        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
+1681        return f"UNNEST({args}){ordinality}{alias}{offset}"
+1682
+1683    def where_sql(self, expression: exp.Where) -> str:
+1684        this = self.indent(self.sql(expression, "this"))
+1685        return f"{self.seg('WHERE')}{self.sep()}{this}"
+1686
+1687    def window_sql(self, expression: exp.Window) -> str:
+1688        this = self.sql(expression, "this")
+1689        partition = self.partition_by_sql(expression)
+1690        order = expression.args.get("order")
+1691        order = self.order_sql(order, flat=True) if order else ""
+1692        spec = self.sql(expression, "spec")
+1693        alias = self.sql(expression, "alias")
+1694        over = self.sql(expression, "over") or "OVER"
+1695
+1696        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
+1697
+1698        first = expression.args.get("first")
+1699        if first is None:
+1700            first = ""
+1701        else:
+1702            first = "FIRST" if first else "LAST"
+1703
+1704        if not partition and not order and not spec and alias:
+1705            return f"{this} {alias}"
 1706
-1707    def all_sql(self, expression: exp.All) -> str:
-1708        return f"ALL {self.wrap(expression)}"
+1707        args = " ".join(arg for arg in (alias, first, partition, order, spec) if arg)
+1708        return f"{this} ({args})"
 1709
-1710    def any_sql(self, expression: exp.Any) -> str:
-1711        this = self.sql(expression, "this")
-1712        if isinstance(expression.this, exp.Subqueryable):
-1713            this = self.wrap(this)
-1714        return f"ANY {this}"
-1715
-1716    def exists_sql(self, expression: exp.Exists) -> str:
-1717        return f"EXISTS{self.wrap(expression)}"
-1718
-1719    def case_sql(self, expression: exp.Case) -> str:
-1720        this = self.sql(expression, "this")
-1721        statements = [f"CASE {this}" if this else "CASE"]
+1710    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
+1711        partition = self.expressions(expression, key="partition_by", flat=True)
+1712        return f"PARTITION BY {partition}" if partition else ""
+1713
+1714    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
+1715        kind = self.sql(expression, "kind")
+1716        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
+1717        end = (
+1718            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
+1719            or "CURRENT ROW"
+1720        )
+1721        return f"{kind} BETWEEN {start} AND {end}"
 1722
-1723        for e in expression.args["ifs"]:
-1724            statements.append(f"WHEN {self.sql(e, 'this')}")
-1725            statements.append(f"THEN {self.sql(e, 'true')}")
-1726
-1727        default = self.sql(expression, "default")
-1728
-1729        if default:
-1730            statements.append(f"ELSE {default}")
-1731
-1732        statements.append("END")
+1723    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
+1724        this = self.sql(expression, "this")
+1725        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
+1726        return f"{this} WITHIN GROUP ({expression_sql})"
+1727
+1728    def between_sql(self, expression: exp.Between) -> str:
+1729        this = self.sql(expression, "this")
+1730        low = self.sql(expression, "low")
+1731        high = self.sql(expression, "high")
+1732        return f"{this} BETWEEN {low} AND {high}"
 1733
-1734        if self.pretty and self.text_width(statements) > self.max_text_width:
-1735            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
-1736
-1737        return " ".join(statements)
-1738
-1739    def constraint_sql(self, expression: exp.Constraint) -> str:
-1740        this = self.sql(expression, "this")
-1741        expressions = self.expressions(expression, flat=True)
-1742        return f"CONSTRAINT {this} {expressions}"
-1743
-1744    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
-1745        order = expression.args.get("order")
-1746        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
-1747        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
+1734    def bracket_sql(self, expression: exp.Bracket) -> str:
+1735        expressions = apply_index_offset(expression.this, expression.expressions, self.INDEX_OFFSET)
+1736        expressions_sql = ", ".join(self.sql(e) for e in expressions)
+1737
+1738        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
+1739
+1740    def all_sql(self, expression: exp.All) -> str:
+1741        return f"ALL {self.wrap(expression)}"
+1742
+1743    def any_sql(self, expression: exp.Any) -> str:
+1744        this = self.sql(expression, "this")
+1745        if isinstance(expression.this, exp.Subqueryable):
+1746            this = self.wrap(this)
+1747        return f"ANY {this}"
 1748
-1749    def extract_sql(self, expression: exp.Extract) -> str:
-1750        this = self.sql(expression, "this")
-1751        expression_sql = self.sql(expression, "expression")
-1752        return f"EXTRACT({this} FROM {expression_sql})"
-1753
-1754    def trim_sql(self, expression: exp.Trim) -> str:
-1755        trim_type = self.sql(expression, "position")
-1756
-1757        if trim_type == "LEADING":
-1758            return self.func("LTRIM", expression.this)
-1759        elif trim_type == "TRAILING":
-1760            return self.func("RTRIM", expression.this)
-1761        else:
-1762            return self.func("TRIM", expression.this, expression.expression)
-1763
-1764    def safeconcat_sql(self, expression: exp.SafeConcat) -> str:
-1765        expressions = expression.expressions
-1766        if self.STRICT_STRING_CONCAT:
-1767            expressions = (exp.cast(e, "text") for e in expressions)
-1768        return self.func("CONCAT", *expressions)
+1749    def exists_sql(self, expression: exp.Exists) -> str:
+1750        return f"EXISTS{self.wrap(expression)}"
+1751
+1752    def case_sql(self, expression: exp.Case) -> str:
+1753        this = self.sql(expression, "this")
+1754        statements = [f"CASE {this}" if this else "CASE"]
+1755
+1756        for e in expression.args["ifs"]:
+1757            statements.append(f"WHEN {self.sql(e, 'this')}")
+1758            statements.append(f"THEN {self.sql(e, 'true')}")
+1759
+1760        default = self.sql(expression, "default")
+1761
+1762        if default:
+1763            statements.append(f"ELSE {default}")
+1764
+1765        statements.append("END")
+1766
+1767        if self.pretty and self.text_width(statements) > self.max_text_width:
+1768            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
 1769
-1770    def check_sql(self, expression: exp.Check) -> str:
-1771        this = self.sql(expression, key="this")
-1772        return f"CHECK ({this})"
-1773
-1774    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
-1775        expressions = self.expressions(expression, flat=True)
-1776        reference = self.sql(expression, "reference")
-1777        reference = f" {reference}" if reference else ""
-1778        delete = self.sql(expression, "delete")
-1779        delete = f" ON DELETE {delete}" if delete else ""
-1780        update = self.sql(expression, "update")
-1781        update = f" ON UPDATE {update}" if update else ""
-1782        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
-1783
-1784    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
-1785        expressions = self.expressions(expression, flat=True)
-1786        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1787        options = f" {options}" if options else ""
-1788        return f"PRIMARY KEY ({expressions}){options}"
+1770        return " ".join(statements)
+1771
+1772    def constraint_sql(self, expression: exp.Constraint) -> str:
+1773        this = self.sql(expression, "this")
+1774        expressions = self.expressions(expression, flat=True)
+1775        return f"CONSTRAINT {this} {expressions}"
+1776
+1777    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
+1778        order = expression.args.get("order")
+1779        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
+1780        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
+1781
+1782    def extract_sql(self, expression: exp.Extract) -> str:
+1783        this = self.sql(expression, "this")
+1784        expression_sql = self.sql(expression, "expression")
+1785        return f"EXTRACT({this} FROM {expression_sql})"
+1786
+1787    def trim_sql(self, expression: exp.Trim) -> str:
+1788        trim_type = self.sql(expression, "position")
 1789
-1790    def if_sql(self, expression: exp.If) -> str:
-1791        return self.case_sql(exp.Case(ifs=[expression], default=expression.args.get("false")))
-1792
-1793    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
-1794        modifier = expression.args.get("modifier")
-1795        modifier = f" {modifier}" if modifier else ""
-1796        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
-1797
-1798    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
-1799        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
-1800
-1801    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
-1802        null_handling = expression.args.get("null_handling")
-1803        null_handling = f" {null_handling}" if null_handling else ""
-1804        unique_keys = expression.args.get("unique_keys")
-1805        if unique_keys is not None:
-1806            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
-1807        else:
-1808            unique_keys = ""
-1809        return_type = self.sql(expression, "return_type")
-1810        return_type = f" RETURNING {return_type}" if return_type else ""
-1811        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
-1812        encoding = self.sql(expression, "encoding")
-1813        encoding = f" ENCODING {encoding}" if encoding else ""
-1814        return self.func(
-1815            "JSON_OBJECT",
-1816            *expression.expressions,
-1817            suffix=f"{null_handling}{unique_keys}{return_type}{format_json}{encoding})",
-1818        )
-1819
-1820    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
-1821        this = self.sql(expression, "this")
-1822        kind = self.sql(expression, "kind")
-1823        path = self.sql(expression, "path")
-1824        path = f" {path}" if path else ""
-1825        as_json = " AS JSON" if expression.args.get("as_json") else ""
-1826        return f"{this} {kind}{path}{as_json}"
-1827
-1828    def openjson_sql(self, expression: exp.OpenJSON) -> str:
-1829        this = self.sql(expression, "this")
-1830        path = self.sql(expression, "path")
-1831        path = f", {path}" if path else ""
-1832        expressions = self.expressions(expression)
-1833        with_ = (
-1834            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
-1835            if expressions
-1836            else ""
-1837        )
-1838        return f"OPENJSON({this}{path}){with_}"
-1839
-1840    def in_sql(self, expression: exp.In) -> str:
-1841        query = expression.args.get("query")
-1842        unnest = expression.args.get("unnest")
-1843        field = expression.args.get("field")
-1844        is_global = " GLOBAL" if expression.args.get("is_global") else ""
-1845
-1846        if query:
-1847            in_sql = self.wrap(query)
-1848        elif unnest:
-1849            in_sql = self.in_unnest_op(unnest)
-1850        elif field:
-1851            in_sql = self.sql(field)
-1852        else:
-1853            in_sql = f"({self.expressions(expression, flat=True)})"
-1854
-1855        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
-1856
-1857    def in_unnest_op(self, unnest: exp.Unnest) -> str:
-1858        return f"(SELECT {self.sql(unnest)})"
-1859
-1860    def interval_sql(self, expression: exp.Interval) -> str:
-1861        unit = self.sql(expression, "unit")
-1862        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
-1863            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
-1864        unit = f" {unit}" if unit else ""
-1865
-1866        if self.SINGLE_STRING_INTERVAL:
-1867            this = expression.this.name if expression.this else ""
-1868            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
-1869
-1870        this = self.sql(expression, "this")
-1871        if this:
-1872            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
-1873            this = f" {this}" if unwrapped else f" ({this})"
-1874
-1875        return f"INTERVAL{this}{unit}"
-1876
-1877    def return_sql(self, expression: exp.Return) -> str:
-1878        return f"RETURN {self.sql(expression, 'this')}"
-1879
-1880    def reference_sql(self, expression: exp.Reference) -> str:
-1881        this = self.sql(expression, "this")
-1882        expressions = self.expressions(expression, flat=True)
-1883        expressions = f"({expressions})" if expressions else ""
-1884        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1885        options = f" {options}" if options else ""
-1886        return f"REFERENCES {this}{expressions}{options}"
+1790        if trim_type == "LEADING":
+1791            return self.func("LTRIM", expression.this)
+1792        elif trim_type == "TRAILING":
+1793            return self.func("RTRIM", expression.this)
+1794        else:
+1795            return self.func("TRIM", expression.this, expression.expression)
+1796
+1797    def safeconcat_sql(self, expression: exp.SafeConcat) -> str:
+1798        expressions = expression.expressions
+1799        if self.STRICT_STRING_CONCAT:
+1800            expressions = (exp.cast(e, "text") for e in expressions)
+1801        return self.func("CONCAT", *expressions)
+1802
+1803    def check_sql(self, expression: exp.Check) -> str:
+1804        this = self.sql(expression, key="this")
+1805        return f"CHECK ({this})"
+1806
+1807    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
+1808        expressions = self.expressions(expression, flat=True)
+1809        reference = self.sql(expression, "reference")
+1810        reference = f" {reference}" if reference else ""
+1811        delete = self.sql(expression, "delete")
+1812        delete = f" ON DELETE {delete}" if delete else ""
+1813        update = self.sql(expression, "update")
+1814        update = f" ON UPDATE {update}" if update else ""
+1815        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
+1816
+1817    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
+1818        expressions = self.expressions(expression, flat=True)
+1819        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1820        options = f" {options}" if options else ""
+1821        return f"PRIMARY KEY ({expressions}){options}"
+1822
+1823    def if_sql(self, expression: exp.If) -> str:
+1824        return self.case_sql(exp.Case(ifs=[expression], default=expression.args.get("false")))
+1825
+1826    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
+1827        modifier = expression.args.get("modifier")
+1828        modifier = f" {modifier}" if modifier else ""
+1829        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
+1830
+1831    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
+1832        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
+1833
+1834    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
+1835        null_handling = expression.args.get("null_handling")
+1836        null_handling = f" {null_handling}" if null_handling else ""
+1837        unique_keys = expression.args.get("unique_keys")
+1838        if unique_keys is not None:
+1839            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
+1840        else:
+1841            unique_keys = ""
+1842        return_type = self.sql(expression, "return_type")
+1843        return_type = f" RETURNING {return_type}" if return_type else ""
+1844        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
+1845        encoding = self.sql(expression, "encoding")
+1846        encoding = f" ENCODING {encoding}" if encoding else ""
+1847        return self.func(
+1848            "JSON_OBJECT",
+1849            *expression.expressions,
+1850            suffix=f"{null_handling}{unique_keys}{return_type}{format_json}{encoding})",
+1851        )
+1852
+1853    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
+1854        this = self.sql(expression, "this")
+1855        kind = self.sql(expression, "kind")
+1856        path = self.sql(expression, "path")
+1857        path = f" {path}" if path else ""
+1858        as_json = " AS JSON" if expression.args.get("as_json") else ""
+1859        return f"{this} {kind}{path}{as_json}"
+1860
+1861    def openjson_sql(self, expression: exp.OpenJSON) -> str:
+1862        this = self.sql(expression, "this")
+1863        path = self.sql(expression, "path")
+1864        path = f", {path}" if path else ""
+1865        expressions = self.expressions(expression)
+1866        with_ = (
+1867            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
+1868            if expressions
+1869            else ""
+1870        )
+1871        return f"OPENJSON({this}{path}){with_}"
+1872
+1873    def in_sql(self, expression: exp.In) -> str:
+1874        query = expression.args.get("query")
+1875        unnest = expression.args.get("unnest")
+1876        field = expression.args.get("field")
+1877        is_global = " GLOBAL" if expression.args.get("is_global") else ""
+1878
+1879        if query:
+1880            in_sql = self.wrap(query)
+1881        elif unnest:
+1882            in_sql = self.in_unnest_op(unnest)
+1883        elif field:
+1884            in_sql = self.sql(field)
+1885        else:
+1886            in_sql = f"({self.expressions(expression, flat=True)})"
 1887
-1888    def anonymous_sql(self, expression: exp.Anonymous) -> str:
-1889        return self.func(expression.name, *expression.expressions)
-1890
-1891    def paren_sql(self, expression: exp.Paren) -> str:
-1892        if isinstance(expression.unnest(), exp.Select):
-1893            sql = self.wrap(expression)
-1894        else:
-1895            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
-1896            sql = f"({sql}{self.seg(')', sep='')}"
-1897
-1898        return self.prepend_ctes(expression, sql)
-1899
-1900    def neg_sql(self, expression: exp.Neg) -> str:
-1901        # This makes sure we don't convert "- - 5" to "--5", which is a comment
-1902        this_sql = self.sql(expression, "this")
-1903        sep = " " if this_sql[0] == "-" else ""
-1904        return f"-{sep}{this_sql}"
-1905
-1906    def not_sql(self, expression: exp.Not) -> str:
-1907        return f"NOT {self.sql(expression, 'this')}"
-1908
-1909    def alias_sql(self, expression: exp.Alias) -> str:
-1910        alias = self.sql(expression, "alias")
-1911        alias = f" AS {alias}" if alias else ""
-1912        return f"{self.sql(expression, 'this')}{alias}"
-1913
-1914    def aliases_sql(self, expression: exp.Aliases) -> str:
-1915        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
-1916
-1917    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
-1918        this = self.sql(expression, "this")
-1919        zone = self.sql(expression, "zone")
-1920        return f"{this} AT TIME ZONE {zone}"
-1921
-1922    def add_sql(self, expression: exp.Add) -> str:
-1923        return self.binary(expression, "+")
-1924
-1925    def and_sql(self, expression: exp.And) -> str:
-1926        return self.connector_sql(expression, "AND")
-1927
-1928    def connector_sql(self, expression: exp.Connector, op: str) -> str:
-1929        if not self.pretty:
-1930            return self.binary(expression, op)
-1931
-1932        sqls = tuple(
-1933            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
-1934            for i, e in enumerate(expression.flatten(unnest=False))
-1935        )
-1936
-1937        sep = "\n" if self.text_width(sqls) > self.max_text_width else " "
-1938        return f"{sep}{op} ".join(sqls)
-1939
-1940    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
-1941        return self.binary(expression, "&")
-1942
-1943    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
-1944        return self.binary(expression, "<<")
-1945
-1946    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
-1947        return f"~{self.sql(expression, 'this')}"
-1948
-1949    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
-1950        return self.binary(expression, "|")
-1951
-1952    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
-1953        return self.binary(expression, ">>")
+1888        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
+1889
+1890    def in_unnest_op(self, unnest: exp.Unnest) -> str:
+1891        return f"(SELECT {self.sql(unnest)})"
+1892
+1893    def interval_sql(self, expression: exp.Interval) -> str:
+1894        unit = self.sql(expression, "unit")
+1895        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
+1896            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
+1897        unit = f" {unit}" if unit else ""
+1898
+1899        if self.SINGLE_STRING_INTERVAL:
+1900            this = expression.this.name if expression.this else ""
+1901            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
+1902
+1903        this = self.sql(expression, "this")
+1904        if this:
+1905            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
+1906            this = f" {this}" if unwrapped else f" ({this})"
+1907
+1908        return f"INTERVAL{this}{unit}"
+1909
+1910    def return_sql(self, expression: exp.Return) -> str:
+1911        return f"RETURN {self.sql(expression, 'this')}"
+1912
+1913    def reference_sql(self, expression: exp.Reference) -> str:
+1914        this = self.sql(expression, "this")
+1915        expressions = self.expressions(expression, flat=True)
+1916        expressions = f"({expressions})" if expressions else ""
+1917        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1918        options = f" {options}" if options else ""
+1919        return f"REFERENCES {this}{expressions}{options}"
+1920
+1921    def anonymous_sql(self, expression: exp.Anonymous) -> str:
+1922        return self.func(expression.name, *expression.expressions)
+1923
+1924    def paren_sql(self, expression: exp.Paren) -> str:
+1925        if isinstance(expression.unnest(), exp.Select):
+1926            sql = self.wrap(expression)
+1927        else:
+1928            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
+1929            sql = f"({sql}{self.seg(')', sep='')}"
+1930
+1931        return self.prepend_ctes(expression, sql)
+1932
+1933    def neg_sql(self, expression: exp.Neg) -> str:
+1934        # This makes sure we don't convert "- - 5" to "--5", which is a comment
+1935        this_sql = self.sql(expression, "this")
+1936        sep = " " if this_sql[0] == "-" else ""
+1937        return f"-{sep}{this_sql}"
+1938
+1939    def not_sql(self, expression: exp.Not) -> str:
+1940        return f"NOT {self.sql(expression, 'this')}"
+1941
+1942    def alias_sql(self, expression: exp.Alias) -> str:
+1943        alias = self.sql(expression, "alias")
+1944        alias = f" AS {alias}" if alias else ""
+1945        return f"{self.sql(expression, 'this')}{alias}"
+1946
+1947    def aliases_sql(self, expression: exp.Aliases) -> str:
+1948        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
+1949
+1950    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
+1951        this = self.sql(expression, "this")
+1952        zone = self.sql(expression, "zone")
+1953        return f"{this} AT TIME ZONE {zone}"
 1954
-1955    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
-1956        return self.binary(expression, "^")
+1955    def add_sql(self, expression: exp.Add) -> str:
+1956        return self.binary(expression, "+")
 1957
-1958    def cast_sql(self, expression: exp.Cast) -> str:
-1959        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+1958    def and_sql(self, expression: exp.And) -> str:
+1959        return self.connector_sql(expression, "AND")
 1960
-1961    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
-1962        zone = self.sql(expression, "this")
-1963        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
+1961    def connector_sql(self, expression: exp.Connector, op: str) -> str:
+1962        if not self.pretty:
+1963            return self.binary(expression, op)
 1964
-1965    def collate_sql(self, expression: exp.Collate) -> str:
-1966        return self.binary(expression, "COLLATE")
-1967
-1968    def command_sql(self, expression: exp.Command) -> str:
-1969        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
-1970
-1971    def comment_sql(self, expression: exp.Comment) -> str:
-1972        this = self.sql(expression, "this")
-1973        kind = expression.args["kind"]
-1974        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
-1975        expression_sql = self.sql(expression, "expression")
-1976        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
-1977
-1978    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
-1979        this = self.sql(expression, "this")
-1980        delete = " DELETE" if expression.args.get("delete") else ""
-1981        recompress = self.sql(expression, "recompress")
-1982        recompress = f" RECOMPRESS {recompress}" if recompress else ""
-1983        to_disk = self.sql(expression, "to_disk")
-1984        to_disk = f" TO DISK {to_disk}" if to_disk else ""
-1985        to_volume = self.sql(expression, "to_volume")
-1986        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
-1987        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
-1988
-1989    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
-1990        where = self.sql(expression, "where")
-1991        group = self.sql(expression, "group")
-1992        aggregates = self.expressions(expression, key="aggregates")
-1993        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
-1994
-1995        if not (where or group or aggregates) and len(expression.expressions) == 1:
-1996            return f"TTL {self.expressions(expression, flat=True)}"
+1965        sqls = tuple(
+1966            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
+1967            for i, e in enumerate(expression.flatten(unnest=False))
+1968        )
+1969
+1970        sep = "\n" if self.text_width(sqls) > self.max_text_width else " "
+1971        return f"{sep}{op} ".join(sqls)
+1972
+1973    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
+1974        return self.binary(expression, "&")
+1975
+1976    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
+1977        return self.binary(expression, "<<")
+1978
+1979    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
+1980        return f"~{self.sql(expression, 'this')}"
+1981
+1982    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
+1983        return self.binary(expression, "|")
+1984
+1985    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
+1986        return self.binary(expression, ">>")
+1987
+1988    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
+1989        return self.binary(expression, "^")
+1990
+1991    def cast_sql(self, expression: exp.Cast) -> str:
+1992        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+1993
+1994    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
+1995        zone = self.sql(expression, "this")
+1996        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
 1997
-1998        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
-1999
-2000    def transaction_sql(self, expression: exp.Transaction) -> str:
-2001        return "BEGIN"
-2002
-2003    def commit_sql(self, expression: exp.Commit) -> str:
-2004        chain = expression.args.get("chain")
-2005        if chain is not None:
-2006            chain = " AND CHAIN" if chain else " AND NO CHAIN"
-2007
-2008        return f"COMMIT{chain or ''}"
-2009
-2010    def rollback_sql(self, expression: exp.Rollback) -> str:
-2011        savepoint = expression.args.get("savepoint")
-2012        savepoint = f" TO {savepoint}" if savepoint else ""
-2013        return f"ROLLBACK{savepoint}"
-2014
-2015    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
-2016        this = self.sql(expression, "this")
-2017
-2018        dtype = self.sql(expression, "dtype")
-2019        if dtype:
-2020            collate = self.sql(expression, "collate")
-2021            collate = f" COLLATE {collate}" if collate else ""
-2022            using = self.sql(expression, "using")
-2023            using = f" USING {using}" if using else ""
-2024            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
-2025
-2026        default = self.sql(expression, "default")
-2027        if default:
-2028            return f"ALTER COLUMN {this} SET DEFAULT {default}"
-2029
-2030        if not expression.args.get("drop"):
-2031            self.unsupported("Unsupported ALTER COLUMN syntax")
+1998    def collate_sql(self, expression: exp.Collate) -> str:
+1999        return self.binary(expression, "COLLATE")
+2000
+2001    def command_sql(self, expression: exp.Command) -> str:
+2002        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
+2003
+2004    def comment_sql(self, expression: exp.Comment) -> str:
+2005        this = self.sql(expression, "this")
+2006        kind = expression.args["kind"]
+2007        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+2008        expression_sql = self.sql(expression, "expression")
+2009        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
+2010
+2011    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
+2012        this = self.sql(expression, "this")
+2013        delete = " DELETE" if expression.args.get("delete") else ""
+2014        recompress = self.sql(expression, "recompress")
+2015        recompress = f" RECOMPRESS {recompress}" if recompress else ""
+2016        to_disk = self.sql(expression, "to_disk")
+2017        to_disk = f" TO DISK {to_disk}" if to_disk else ""
+2018        to_volume = self.sql(expression, "to_volume")
+2019        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
+2020        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
+2021
+2022    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
+2023        where = self.sql(expression, "where")
+2024        group = self.sql(expression, "group")
+2025        aggregates = self.expressions(expression, key="aggregates")
+2026        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
+2027
+2028        if not (where or group or aggregates) and len(expression.expressions) == 1:
+2029            return f"TTL {self.expressions(expression, flat=True)}"
+2030
+2031        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
 2032
-2033        return f"ALTER COLUMN {this} DROP DEFAULT"
-2034
-2035    def renametable_sql(self, expression: exp.RenameTable) -> str:
-2036        if not self.RENAME_TABLE_WITH_DB:
-2037            # Remove db from tables
-2038            expression = expression.transform(
-2039                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
-2040            )
-2041        this = self.sql(expression, "this")
-2042        return f"RENAME TO {this}"
-2043
-2044    def altertable_sql(self, expression: exp.AlterTable) -> str:
-2045        actions = expression.args["actions"]
-2046
-2047        if isinstance(actions[0], exp.ColumnDef):
-2048            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
-2049        elif isinstance(actions[0], exp.Schema):
-2050            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
-2051        elif isinstance(actions[0], exp.Delete):
-2052            actions = self.expressions(expression, key="actions", flat=True)
-2053        else:
-2054            actions = self.expressions(expression, key="actions")
-2055
-2056        exists = " IF EXISTS" if expression.args.get("exists") else ""
-2057        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
+2033    def transaction_sql(self, expression: exp.Transaction) -> str:
+2034        return "BEGIN"
+2035
+2036    def commit_sql(self, expression: exp.Commit) -> str:
+2037        chain = expression.args.get("chain")
+2038        if chain is not None:
+2039            chain = " AND CHAIN" if chain else " AND NO CHAIN"
+2040
+2041        return f"COMMIT{chain or ''}"
+2042
+2043    def rollback_sql(self, expression: exp.Rollback) -> str:
+2044        savepoint = expression.args.get("savepoint")
+2045        savepoint = f" TO {savepoint}" if savepoint else ""
+2046        return f"ROLLBACK{savepoint}"
+2047
+2048    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
+2049        this = self.sql(expression, "this")
+2050
+2051        dtype = self.sql(expression, "dtype")
+2052        if dtype:
+2053            collate = self.sql(expression, "collate")
+2054            collate = f" COLLATE {collate}" if collate else ""
+2055            using = self.sql(expression, "using")
+2056            using = f" USING {using}" if using else ""
+2057            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
 2058
-2059    def droppartition_sql(self, expression: exp.DropPartition) -> str:
-2060        expressions = self.expressions(expression)
-2061        exists = " IF EXISTS " if expression.args.get("exists") else " "
-2062        return f"DROP{exists}{expressions}"
-2063
-2064    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
-2065        this = self.sql(expression, "this")
-2066        expression_ = self.sql(expression, "expression")
-2067        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
-2068
-2069        enforced = expression.args.get("enforced")
-2070        if enforced is not None:
-2071            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
-2072
-2073        return f"{add_constraint} {expression_}"
-2074
-2075    def distinct_sql(self, expression: exp.Distinct) -> str:
-2076        this = self.expressions(expression, flat=True)
-2077        this = f" {this}" if this else ""
-2078
-2079        on = self.sql(expression, "on")
-2080        on = f" ON {on}" if on else ""
-2081        return f"DISTINCT{this}{on}"
-2082
-2083    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
-2084        return f"{self.sql(expression, 'this')} IGNORE NULLS"
-2085
-2086    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
-2087        return f"{self.sql(expression, 'this')} RESPECT NULLS"
+2059        default = self.sql(expression, "default")
+2060        if default:
+2061            return f"ALTER COLUMN {this} SET DEFAULT {default}"
+2062
+2063        if not expression.args.get("drop"):
+2064            self.unsupported("Unsupported ALTER COLUMN syntax")
+2065
+2066        return f"ALTER COLUMN {this} DROP DEFAULT"
+2067
+2068    def renametable_sql(self, expression: exp.RenameTable) -> str:
+2069        if not self.RENAME_TABLE_WITH_DB:
+2070            # Remove db from tables
+2071            expression = expression.transform(
+2072                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
+2073            )
+2074        this = self.sql(expression, "this")
+2075        return f"RENAME TO {this}"
+2076
+2077    def altertable_sql(self, expression: exp.AlterTable) -> str:
+2078        actions = expression.args["actions"]
+2079
+2080        if isinstance(actions[0], exp.ColumnDef):
+2081            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
+2082        elif isinstance(actions[0], exp.Schema):
+2083            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
+2084        elif isinstance(actions[0], exp.Delete):
+2085            actions = self.expressions(expression, key="actions", flat=True)
+2086        else:
+2087            actions = self.expressions(expression, key="actions")
 2088
-2089    def intdiv_sql(self, expression: exp.IntDiv) -> str:
-2090        return self.sql(
-2091            exp.Cast(
-2092                this=exp.Div(this=expression.this, expression=expression.expression),
-2093                to=exp.DataType(this=exp.DataType.Type.INT),
-2094            )
-2095        )
+2089        exists = " IF EXISTS" if expression.args.get("exists") else ""
+2090        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
+2091
+2092    def droppartition_sql(self, expression: exp.DropPartition) -> str:
+2093        expressions = self.expressions(expression)
+2094        exists = " IF EXISTS " if expression.args.get("exists") else " "
+2095        return f"DROP{exists}{expressions}"
 2096
-2097    def dpipe_sql(self, expression: exp.DPipe) -> str:
-2098        return self.binary(expression, "||")
-2099
-2100    def safedpipe_sql(self, expression: exp.SafeDPipe) -> str:
-2101        if self.STRICT_STRING_CONCAT:
-2102            return self.func("CONCAT", *(exp.cast(e, "text") for e in expression.flatten()))
-2103        return self.dpipe_sql(expression)
-2104
-2105    def div_sql(self, expression: exp.Div) -> str:
-2106        return self.binary(expression, "/")
+2097    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
+2098        this = self.sql(expression, "this")
+2099        expression_ = self.sql(expression, "expression")
+2100        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
+2101
+2102        enforced = expression.args.get("enforced")
+2103        if enforced is not None:
+2104            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
+2105
+2106        return f"{add_constraint} {expression_}"
 2107
-2108    def overlaps_sql(self, expression: exp.Overlaps) -> str:
-2109        return self.binary(expression, "OVERLAPS")
-2110
-2111    def distance_sql(self, expression: exp.Distance) -> str:
-2112        return self.binary(expression, "<->")
-2113
-2114    def dot_sql(self, expression: exp.Dot) -> str:
-2115        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
-2116
-2117    def eq_sql(self, expression: exp.EQ) -> str:
-2118        return self.binary(expression, "=")
-2119
-2120    def escape_sql(self, expression: exp.Escape) -> str:
-2121        return self.binary(expression, "ESCAPE")
-2122
-2123    def glob_sql(self, expression: exp.Glob) -> str:
-2124        return self.binary(expression, "GLOB")
-2125
-2126    def gt_sql(self, expression: exp.GT) -> str:
-2127        return self.binary(expression, ">")
-2128
-2129    def gte_sql(self, expression: exp.GTE) -> str:
-2130        return self.binary(expression, ">=")
-2131
-2132    def ilike_sql(self, expression: exp.ILike) -> str:
-2133        return self.binary(expression, "ILIKE")
-2134
-2135    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
-2136        return self.binary(expression, "ILIKE ANY")
+2108    def distinct_sql(self, expression: exp.Distinct) -> str:
+2109        this = self.expressions(expression, flat=True)
+2110        this = f" {this}" if this else ""
+2111
+2112        on = self.sql(expression, "on")
+2113        on = f" ON {on}" if on else ""
+2114        return f"DISTINCT{this}{on}"
+2115
+2116    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
+2117        return f"{self.sql(expression, 'this')} IGNORE NULLS"
+2118
+2119    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
+2120        return f"{self.sql(expression, 'this')} RESPECT NULLS"
+2121
+2122    def intdiv_sql(self, expression: exp.IntDiv) -> str:
+2123        return self.sql(
+2124            exp.Cast(
+2125                this=exp.Div(this=expression.this, expression=expression.expression),
+2126                to=exp.DataType(this=exp.DataType.Type.INT),
+2127            )
+2128        )
+2129
+2130    def dpipe_sql(self, expression: exp.DPipe) -> str:
+2131        return self.binary(expression, "||")
+2132
+2133    def safedpipe_sql(self, expression: exp.SafeDPipe) -> str:
+2134        if self.STRICT_STRING_CONCAT:
+2135            return self.func("CONCAT", *(exp.cast(e, "text") for e in expression.flatten()))
+2136        return self.dpipe_sql(expression)
 2137
-2138    def is_sql(self, expression: exp.Is) -> str:
-2139        if not self.IS_BOOL_ALLOWED and isinstance(expression.expression, exp.Boolean):
-2140            return self.sql(
-2141                expression.this if expression.expression.this else exp.not_(expression.this)
-2142            )
-2143        return self.binary(expression, "IS")
-2144
-2145    def like_sql(self, expression: exp.Like) -> str:
-2146        return self.binary(expression, "LIKE")
-2147
-2148    def likeany_sql(self, expression: exp.LikeAny) -> str:
-2149        return self.binary(expression, "LIKE ANY")
-2150
-2151    def similarto_sql(self, expression: exp.SimilarTo) -> str:
-2152        return self.binary(expression, "SIMILAR TO")
-2153
-2154    def lt_sql(self, expression: exp.LT) -> str:
-2155        return self.binary(expression, "<")
-2156
-2157    def lte_sql(self, expression: exp.LTE) -> str:
-2158        return self.binary(expression, "<=")
-2159
-2160    def mod_sql(self, expression: exp.Mod) -> str:
-2161        return self.binary(expression, "%")
-2162
-2163    def mul_sql(self, expression: exp.Mul) -> str:
-2164        return self.binary(expression, "*")
-2165
-2166    def neq_sql(self, expression: exp.NEQ) -> str:
-2167        return self.binary(expression, "<>")
-2168
-2169    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
-2170        return self.binary(expression, "IS NOT DISTINCT FROM")
-2171
-2172    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
-2173        return self.binary(expression, "IS DISTINCT FROM")
-2174
-2175    def or_sql(self, expression: exp.Or) -> str:
-2176        return self.connector_sql(expression, "OR")
+2138    def div_sql(self, expression: exp.Div) -> str:
+2139        return self.binary(expression, "/")
+2140
+2141    def overlaps_sql(self, expression: exp.Overlaps) -> str:
+2142        return self.binary(expression, "OVERLAPS")
+2143
+2144    def distance_sql(self, expression: exp.Distance) -> str:
+2145        return self.binary(expression, "<->")
+2146
+2147    def dot_sql(self, expression: exp.Dot) -> str:
+2148        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
+2149
+2150    def eq_sql(self, expression: exp.EQ) -> str:
+2151        return self.binary(expression, "=")
+2152
+2153    def escape_sql(self, expression: exp.Escape) -> str:
+2154        return self.binary(expression, "ESCAPE")
+2155
+2156    def glob_sql(self, expression: exp.Glob) -> str:
+2157        return self.binary(expression, "GLOB")
+2158
+2159    def gt_sql(self, expression: exp.GT) -> str:
+2160        return self.binary(expression, ">")
+2161
+2162    def gte_sql(self, expression: exp.GTE) -> str:
+2163        return self.binary(expression, ">=")
+2164
+2165    def ilike_sql(self, expression: exp.ILike) -> str:
+2166        return self.binary(expression, "ILIKE")
+2167
+2168    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
+2169        return self.binary(expression, "ILIKE ANY")
+2170
+2171    def is_sql(self, expression: exp.Is) -> str:
+2172        if not self.IS_BOOL_ALLOWED and isinstance(expression.expression, exp.Boolean):
+2173            return self.sql(
+2174                expression.this if expression.expression.this else exp.not_(expression.this)
+2175            )
+2176        return self.binary(expression, "IS")
 2177
-2178    def slice_sql(self, expression: exp.Slice) -> str:
-2179        return self.binary(expression, ":")
+2178    def like_sql(self, expression: exp.Like) -> str:
+2179        return self.binary(expression, "LIKE")
 2180
-2181    def sub_sql(self, expression: exp.Sub) -> str:
-2182        return self.binary(expression, "-")
+2181    def likeany_sql(self, expression: exp.LikeAny) -> str:
+2182        return self.binary(expression, "LIKE ANY")
 2183
-2184    def trycast_sql(self, expression: exp.TryCast) -> str:
-2185        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+2184    def similarto_sql(self, expression: exp.SimilarTo) -> str:
+2185        return self.binary(expression, "SIMILAR TO")
 2186
-2187    def use_sql(self, expression: exp.Use) -> str:
-2188        kind = self.sql(expression, "kind")
-2189        kind = f" {kind}" if kind else ""
-2190        this = self.sql(expression, "this")
-2191        this = f" {this}" if this else ""
-2192        return f"USE{kind}{this}"
-2193
-2194    def binary(self, expression: exp.Binary, op: str) -> str:
-2195        op = self.maybe_comment(op, comments=expression.comments)
-2196        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
-2197
-2198    def function_fallback_sql(self, expression: exp.Func) -> str:
-2199        args = []
-2200        for arg_value in expression.args.values():
-2201            if isinstance(arg_value, list):
-2202                for value in arg_value:
-2203                    args.append(value)
-2204            else:
-2205                args.append(arg_value)
-2206
-2207        return self.func(expression.sql_name(), *args)
-2208
-2209    def func(
-2210        self,
-2211        name: str,
-2212        *args: t.Optional[exp.Expression | str],
-2213        prefix: str = "(",
-2214        suffix: str = ")",
-2215    ) -> str:
-2216        return f"{self.normalize_func(name)}{prefix}{self.format_args(*args)}{suffix}"
-2217
-2218    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
-2219        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
-2220        if self.pretty and self.text_width(arg_sqls) > self.max_text_width:
-2221            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
-2222        return ", ".join(arg_sqls)
-2223
-2224    def text_width(self, args: t.Iterable) -> int:
-2225        return sum(len(arg) for arg in args)
+2187    def lt_sql(self, expression: exp.LT) -> str:
+2188        return self.binary(expression, "<")
+2189
+2190    def lte_sql(self, expression: exp.LTE) -> str:
+2191        return self.binary(expression, "<=")
+2192
+2193    def mod_sql(self, expression: exp.Mod) -> str:
+2194        return self.binary(expression, "%")
+2195
+2196    def mul_sql(self, expression: exp.Mul) -> str:
+2197        return self.binary(expression, "*")
+2198
+2199    def neq_sql(self, expression: exp.NEQ) -> str:
+2200        return self.binary(expression, "<>")
+2201
+2202    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
+2203        return self.binary(expression, "IS NOT DISTINCT FROM")
+2204
+2205    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
+2206        return self.binary(expression, "IS DISTINCT FROM")
+2207
+2208    def or_sql(self, expression: exp.Or) -> str:
+2209        return self.connector_sql(expression, "OR")
+2210
+2211    def slice_sql(self, expression: exp.Slice) -> str:
+2212        return self.binary(expression, ":")
+2213
+2214    def sub_sql(self, expression: exp.Sub) -> str:
+2215        return self.binary(expression, "-")
+2216
+2217    def trycast_sql(self, expression: exp.TryCast) -> str:
+2218        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+2219
+2220    def use_sql(self, expression: exp.Use) -> str:
+2221        kind = self.sql(expression, "kind")
+2222        kind = f" {kind}" if kind else ""
+2223        this = self.sql(expression, "this")
+2224        this = f" {this}" if this else ""
+2225        return f"USE{kind}{this}"
 2226
-2227    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
-2228        return format_time(
-2229            self.sql(expression, "format"), self.INVERSE_TIME_MAPPING, self.INVERSE_TIME_TRIE
-2230        )
-2231
-2232    def expressions(
-2233        self,
-2234        expression: t.Optional[exp.Expression] = None,
-2235        key: t.Optional[str] = None,
-2236        sqls: t.Optional[t.List[str]] = None,
-2237        flat: bool = False,
-2238        indent: bool = True,
-2239        sep: str = ", ",
-2240        prefix: str = "",
-2241    ) -> str:
-2242        expressions = expression.args.get(key or "expressions") if expression else sqls
-2243
-2244        if not expressions:
-2245            return ""
-2246
-2247        if flat:
-2248            return sep.join(self.sql(e) for e in expressions)
-2249
-2250        num_sqls = len(expressions)
-2251
-2252        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
-2253        pad = " " * self.pad
-2254        stripped_sep = sep.strip()
-2255
-2256        result_sqls = []
-2257        for i, e in enumerate(expressions):
-2258            sql = self.sql(e, comment=False)
-2259            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
-2260
-2261            if self.pretty:
-2262                if self.leading_comma:
-2263                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
-2264                else:
-2265                    result_sqls.append(
-2266                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
-2267                    )
-2268            else:
-2269                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
-2270
-2271        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
-2272        return self.indent(result_sql, skip_first=False) if indent else result_sql
-2273
-2274    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
-2275        flat = flat or isinstance(expression.parent, exp.Properties)
-2276        expressions_sql = self.expressions(expression, flat=flat)
-2277        if flat:
-2278            return f"{op} {expressions_sql}"
-2279        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
-2280
-2281    def naked_property(self, expression: exp.Property) -> str:
-2282        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
-2283        if not property_name:
-2284            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
-2285        return f"{property_name} {self.sql(expression, 'this')}"
-2286
-2287    def set_operation(self, expression: exp.Expression, op: str) -> str:
-2288        this = self.sql(expression, "this")
-2289        op = self.seg(op)
-2290        return self.query_modifiers(
-2291            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
-2292        )
+2227    def binary(self, expression: exp.Binary, op: str) -> str:
+2228        op = self.maybe_comment(op, comments=expression.comments)
+2229        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
+2230
+2231    def function_fallback_sql(self, expression: exp.Func) -> str:
+2232        args = []
+2233        for arg_value in expression.args.values():
+2234            if isinstance(arg_value, list):
+2235                for value in arg_value:
+2236                    args.append(value)
+2237            else:
+2238                args.append(arg_value)
+2239
+2240        return self.func(expression.sql_name(), *args)
+2241
+2242    def func(
+2243        self,
+2244        name: str,
+2245        *args: t.Optional[exp.Expression | str],
+2246        prefix: str = "(",
+2247        suffix: str = ")",
+2248    ) -> str:
+2249        return f"{self.normalize_func(name)}{prefix}{self.format_args(*args)}{suffix}"
+2250
+2251    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
+2252        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
+2253        if self.pretty and self.text_width(arg_sqls) > self.max_text_width:
+2254            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
+2255        return ", ".join(arg_sqls)
+2256
+2257    def text_width(self, args: t.Iterable) -> int:
+2258        return sum(len(arg) for arg in args)
+2259
+2260    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
+2261        return format_time(
+2262            self.sql(expression, "format"), self.INVERSE_TIME_MAPPING, self.INVERSE_TIME_TRIE
+2263        )
+2264
+2265    def expressions(
+2266        self,
+2267        expression: t.Optional[exp.Expression] = None,
+2268        key: t.Optional[str] = None,
+2269        sqls: t.Optional[t.List[str]] = None,
+2270        flat: bool = False,
+2271        indent: bool = True,
+2272        sep: str = ", ",
+2273        prefix: str = "",
+2274    ) -> str:
+2275        expressions = expression.args.get(key or "expressions") if expression else sqls
+2276
+2277        if not expressions:
+2278            return ""
+2279
+2280        if flat:
+2281            return sep.join(self.sql(e) for e in expressions)
+2282
+2283        num_sqls = len(expressions)
+2284
+2285        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
+2286        pad = " " * self.pad
+2287        stripped_sep = sep.strip()
+2288
+2289        result_sqls = []
+2290        for i, e in enumerate(expressions):
+2291            sql = self.sql(e, comment=False)
+2292            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
 2293
-2294    def tag_sql(self, expression: exp.Tag) -> str:
-2295        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
-2296
-2297    def token_sql(self, token_type: TokenType) -> str:
-2298        return self.TOKEN_MAPPING.get(token_type, token_type.name)
-2299
-2300    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
-2301        this = self.sql(expression, "this")
-2302        expressions = self.no_identify(self.expressions, expression)
-2303        expressions = (
-2304            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
-2305        )
-2306        return f"{this}{expressions}"
-2307
-2308    def joinhint_sql(self, expression: exp.JoinHint) -> str:
-2309        this = self.sql(expression, "this")
-2310        expressions = self.expressions(expression, flat=True)
-2311        return f"{this}({expressions})"
-2312
-2313    def kwarg_sql(self, expression: exp.Kwarg) -> str:
-2314        return self.binary(expression, "=>")
-2315
-2316    def when_sql(self, expression: exp.When) -> str:
-2317        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
-2318        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
-2319        condition = self.sql(expression, "condition")
-2320        condition = f" AND {condition}" if condition else ""
-2321
-2322        then_expression = expression.args.get("then")
-2323        if isinstance(then_expression, exp.Insert):
-2324            then = f"INSERT {self.sql(then_expression, 'this')}"
-2325            if "expression" in then_expression.args:
-2326                then += f" VALUES {self.sql(then_expression, 'expression')}"
-2327        elif isinstance(then_expression, exp.Update):
-2328            if isinstance(then_expression.args.get("expressions"), exp.Star):
-2329                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
-2330            else:
-2331                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
-2332        else:
-2333            then = self.sql(then_expression)
-2334        return f"WHEN {matched}{source}{condition} THEN {then}"
-2335
-2336    def merge_sql(self, expression: exp.Merge) -> str:
-2337        this = self.sql(expression, "this")
-2338        using = f"USING {self.sql(expression, 'using')}"
-2339        on = f"ON {self.sql(expression, 'on')}"
-2340        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
-2341
-2342    def tochar_sql(self, expression: exp.ToChar) -> str:
-2343        if expression.args.get("format"):
-2344            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
+2294            if self.pretty:
+2295                if self.leading_comma:
+2296                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
+2297                else:
+2298                    result_sqls.append(
+2299                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
+2300                    )
+2301            else:
+2302                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
+2303
+2304        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
+2305        return self.indent(result_sql, skip_first=False) if indent else result_sql
+2306
+2307    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
+2308        flat = flat or isinstance(expression.parent, exp.Properties)
+2309        expressions_sql = self.expressions(expression, flat=flat)
+2310        if flat:
+2311            return f"{op} {expressions_sql}"
+2312        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
+2313
+2314    def naked_property(self, expression: exp.Property) -> str:
+2315        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
+2316        if not property_name:
+2317            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
+2318        return f"{property_name} {self.sql(expression, 'this')}"
+2319
+2320    def set_operation(self, expression: exp.Expression, op: str) -> str:
+2321        this = self.sql(expression, "this")
+2322        op = self.seg(op)
+2323        return self.query_modifiers(
+2324            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
+2325        )
+2326
+2327    def tag_sql(self, expression: exp.Tag) -> str:
+2328        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
+2329
+2330    def token_sql(self, token_type: TokenType) -> str:
+2331        return self.TOKEN_MAPPING.get(token_type, token_type.name)
+2332
+2333    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
+2334        this = self.sql(expression, "this")
+2335        expressions = self.no_identify(self.expressions, expression)
+2336        expressions = (
+2337            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
+2338        )
+2339        return f"{this}{expressions}"
+2340
+2341    def joinhint_sql(self, expression: exp.JoinHint) -> str:
+2342        this = self.sql(expression, "this")
+2343        expressions = self.expressions(expression, flat=True)
+2344        return f"{this}({expressions})"
 2345
-2346        return self.sql(exp.cast(expression.this, "text"))
-2347
-2348    def dictproperty_sql(self, expression: exp.DictProperty) -> str:
-2349        this = self.sql(expression, "this")
-2350        kind = self.sql(expression, "kind")
-2351        settings_sql = self.expressions(expression, key="settings", sep=" ")
-2352        args = f"({self.sep('')}{settings_sql}{self.seg(')', sep='')}" if settings_sql else "()"
-2353        return f"{this}({kind}{args})"
+2346    def kwarg_sql(self, expression: exp.Kwarg) -> str:
+2347        return self.binary(expression, "=>")
+2348
+2349    def when_sql(self, expression: exp.When) -> str:
+2350        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
+2351        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
+2352        condition = self.sql(expression, "condition")
+2353        condition = f" AND {condition}" if condition else ""
 2354
-2355    def dictrange_sql(self, expression: exp.DictRange) -> str:
-2356        this = self.sql(expression, "this")
-2357        max = self.sql(expression, "max")
-2358        min = self.sql(expression, "min")
-2359        return f"{this}(MIN {min} MAX {max})"
-2360
-2361    def dictsubproperty_sql(self, expression: exp.DictSubProperty) -> str:
-2362        return f"{self.sql(expression, 'this')} {self.sql(expression, 'value')}"
-2363
-2364    def oncluster_sql(self, expression: exp.OnCluster) -> str:
-2365        return ""
-2366
-2367
-2368def cached_generator(
-2369    cache: t.Optional[t.Dict[int, str]] = None
-2370) -> t.Callable[[exp.Expression], str]:
-2371    """Returns a cached generator."""
-2372    cache = {} if cache is None else cache
-2373    generator = Generator(normalize=True, identify="safe")
-2374    return lambda e: generator.generate(e, cache)
+2355        then_expression = expression.args.get("then")
+2356        if isinstance(then_expression, exp.Insert):
+2357            then = f"INSERT {self.sql(then_expression, 'this')}"
+2358            if "expression" in then_expression.args:
+2359                then += f" VALUES {self.sql(then_expression, 'expression')}"
+2360        elif isinstance(then_expression, exp.Update):
+2361            if isinstance(then_expression.args.get("expressions"), exp.Star):
+2362                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
+2363            else:
+2364                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
+2365        else:
+2366            then = self.sql(then_expression)
+2367        return f"WHEN {matched}{source}{condition} THEN {then}"
+2368
+2369    def merge_sql(self, expression: exp.Merge) -> str:
+2370        this = self.sql(expression, "this")
+2371        using = f"USING {self.sql(expression, 'using')}"
+2372        on = f"ON {self.sql(expression, 'on')}"
+2373        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
+2374
+2375    def tochar_sql(self, expression: exp.ToChar) -> str:
+2376        if expression.args.get("format"):
+2377            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
+2378
+2379        return self.sql(exp.cast(expression.this, "text"))
+2380
+2381    def dictproperty_sql(self, expression: exp.DictProperty) -> str:
+2382        this = self.sql(expression, "this")
+2383        kind = self.sql(expression, "kind")
+2384        settings_sql = self.expressions(expression, key="settings", sep=" ")
+2385        args = f"({self.sep('')}{settings_sql}{self.seg(')', sep='')}" if settings_sql else "()"
+2386        return f"{this}({kind}{args})"
+2387
+2388    def dictrange_sql(self, expression: exp.DictRange) -> str:
+2389        this = self.sql(expression, "this")
+2390        max = self.sql(expression, "max")
+2391        min = self.sql(expression, "min")
+2392        return f"{this}(MIN {min} MAX {max})"
+2393
+2394    def dictsubproperty_sql(self, expression: exp.DictSubProperty) -> str:
+2395        return f"{self.sql(expression, 'this')} {self.sql(expression, 'value')}"
+2396
+2397    def oncluster_sql(self, expression: exp.OnCluster) -> str:
+2398        return ""
+2399
+2400
+2401def cached_generator(
+2402    cache: t.Optional[t.Dict[int, str]] = None
+2403) -> t.Callable[[exp.Expression], str]:
+2404    """Returns a cached generator."""
+2405    cache = {} if cache is None else cache
+2406    generator = Generator(normalize=True, identify="safe")
+2407    return lambda e: generator.generate(e, cache)
 
    
 
 
@@ -3212,2313 +3251,2346 @@
       57        exp.TsOrDsAdd: lambda self, e: self.func(
   58            "TS_OR_DS_ADD", e.this, e.expression, exp.Literal.string(e.text("unit"))
   59        ),
-  60        exp.VarMap: lambda self, e: self.func("MAP", e.args["keys"], e.args["values"]),
-  61        exp.CharacterSetProperty: lambda self, e: f"{'DEFAULT ' if e.args.get('default') else ''}CHARACTER SET={self.sql(e, 'this')}",
-  62        exp.ExecuteAsProperty: lambda self, e: self.naked_property(e),
-  63        exp.ExternalProperty: lambda self, e: "EXTERNAL",
-  64        exp.LanguageProperty: lambda self, e: self.naked_property(e),
-  65        exp.LocationProperty: lambda self, e: self.naked_property(e),
-  66        exp.LogProperty: lambda self, e: f"{'NO ' if e.args.get('no') else ''}LOG",
-  67        exp.MaterializedProperty: lambda self, e: "MATERIALIZED",
-  68        exp.NoPrimaryIndexProperty: lambda self, e: "NO PRIMARY INDEX",
-  69        exp.OnCommitProperty: lambda self, e: f"ON COMMIT {'DELETE' if e.args.get('delete') else 'PRESERVE'} ROWS",
-  70        exp.ReturnsProperty: lambda self, e: self.naked_property(e),
-  71        exp.SetProperty: lambda self, e: f"{'MULTI' if e.args.get('multi') else ''}SET",
-  72        exp.SettingsProperty: lambda self, e: f"SETTINGS{self.seg('')}{(self.expressions(e))}",
-  73        exp.SqlSecurityProperty: lambda self, e: f"SQL SECURITY {'DEFINER' if e.args.get('definer') else 'INVOKER'}",
-  74        exp.TemporaryProperty: lambda self, e: f"TEMPORARY",
-  75        exp.ToTableProperty: lambda self, e: f"TO {self.sql(e.this)}",
-  76        exp.TransientProperty: lambda self, e: "TRANSIENT",
-  77        exp.StabilityProperty: lambda self, e: e.name,
-  78        exp.VolatileProperty: lambda self, e: "VOLATILE",
-  79        exp.WithJournalTableProperty: lambda self, e: f"WITH JOURNAL TABLE={self.sql(e, 'this')}",
-  80        exp.CaseSpecificColumnConstraint: lambda self, e: f"{'NOT ' if e.args.get('not_') else ''}CASESPECIFIC",
-  81        exp.CharacterSetColumnConstraint: lambda self, e: f"CHARACTER SET {self.sql(e, 'this')}",
-  82        exp.DateFormatColumnConstraint: lambda self, e: f"FORMAT {self.sql(e, 'this')}",
-  83        exp.OnUpdateColumnConstraint: lambda self, e: f"ON UPDATE {self.sql(e, 'this')}",
-  84        exp.UppercaseColumnConstraint: lambda self, e: f"UPPERCASE",
-  85        exp.TitleColumnConstraint: lambda self, e: f"TITLE {self.sql(e, 'this')}",
-  86        exp.PathColumnConstraint: lambda self, e: f"PATH {self.sql(e, 'this')}",
-  87        exp.CheckColumnConstraint: lambda self, e: f"CHECK ({self.sql(e, 'this')})",
-  88        exp.CommentColumnConstraint: lambda self, e: f"COMMENT {self.sql(e, 'this')}",
-  89        exp.CollateColumnConstraint: lambda self, e: f"COLLATE {self.sql(e, 'this')}",
-  90        exp.EncodeColumnConstraint: lambda self, e: f"ENCODE {self.sql(e, 'this')}",
-  91        exp.DefaultColumnConstraint: lambda self, e: f"DEFAULT {self.sql(e, 'this')}",
-  92        exp.InlineLengthColumnConstraint: lambda self, e: f"INLINE LENGTH {self.sql(e, 'this')}",
-  93    }
-  94
-  95    # Whether or not null ordering is supported in order by
-  96    NULL_ORDERING_SUPPORTED = True
-  97
-  98    # Whether or not locking reads (i.e. SELECT ... FOR UPDATE/SHARE) are supported
-  99    LOCKING_READS_SUPPORTED = False
- 100
- 101    # Always do union distinct or union all
- 102    EXPLICIT_UNION = False
- 103
- 104    # Wrap derived values in parens, usually standard but spark doesn't support it
- 105    WRAP_DERIVED_VALUES = True
- 106
- 107    # Whether or not create function uses an AS before the RETURN
- 108    CREATE_FUNCTION_RETURN_AS = True
- 109
- 110    # Whether or not MERGE ... WHEN MATCHED BY SOURCE is allowed
- 111    MATCHED_BY_SOURCE = True
- 112
- 113    # Whether or not the INTERVAL expression works only with values like '1 day'
- 114    SINGLE_STRING_INTERVAL = False
- 115
- 116    # Whether or not the plural form of date parts like day (i.e. "days") is supported in INTERVALs
- 117    INTERVAL_ALLOWS_PLURAL_FORM = True
- 118
- 119    # Whether or not the TABLESAMPLE clause supports a method name, like BERNOULLI
- 120    TABLESAMPLE_WITH_METHOD = True
- 121
- 122    # Whether or not to treat the number in TABLESAMPLE (50) as a percentage
- 123    TABLESAMPLE_SIZE_IS_PERCENT = False
- 124
- 125    # Whether or not limit and fetch are supported (possible values: "ALL", "LIMIT", "FETCH")
- 126    LIMIT_FETCH = "ALL"
- 127
- 128    # Whether or not a table is allowed to be renamed with a db
- 129    RENAME_TABLE_WITH_DB = True
- 130
- 131    # The separator for grouping sets and rollups
- 132    GROUPINGS_SEP = ","
- 133
- 134    # The string used for creating an index on a table
- 135    INDEX_ON = "ON"
- 136
- 137    # Whether or not join hints should be generated
- 138    JOIN_HINTS = True
- 139
- 140    # Whether or not table hints should be generated
- 141    TABLE_HINTS = True
- 142
- 143    # Whether or not comparing against booleans (e.g. x IS TRUE) is supported
- 144    IS_BOOL_ALLOWED = True
- 145
- 146    TYPE_MAPPING = {
- 147        exp.DataType.Type.NCHAR: "CHAR",
- 148        exp.DataType.Type.NVARCHAR: "VARCHAR",
- 149        exp.DataType.Type.MEDIUMTEXT: "TEXT",
- 150        exp.DataType.Type.LONGTEXT: "TEXT",
- 151        exp.DataType.Type.MEDIUMBLOB: "BLOB",
- 152        exp.DataType.Type.LONGBLOB: "BLOB",
- 153        exp.DataType.Type.INET: "INET",
- 154    }
- 155
- 156    STAR_MAPPING = {
- 157        "except": "EXCEPT",
- 158        "replace": "REPLACE",
- 159    }
- 160
- 161    TIME_PART_SINGULARS = {
- 162        "microseconds": "microsecond",
- 163        "seconds": "second",
- 164        "minutes": "minute",
- 165        "hours": "hour",
- 166        "days": "day",
- 167        "weeks": "week",
- 168        "months": "month",
- 169        "quarters": "quarter",
- 170        "years": "year",
- 171    }
- 172
- 173    TOKEN_MAPPING: t.Dict[TokenType, str] = {}
- 174
- 175    STRUCT_DELIMITER = ("<", ">")
+  60        exp.CaseSpecificColumnConstraint: lambda self, e: f"{'NOT ' if e.args.get('not_') else ''}CASESPECIFIC",
+  61        exp.CharacterSetColumnConstraint: lambda self, e: f"CHARACTER SET {self.sql(e, 'this')}",
+  62        exp.CharacterSetProperty: lambda self, e: f"{'DEFAULT ' if e.args.get('default') else ''}CHARACTER SET={self.sql(e, 'this')}",
+  63        exp.CheckColumnConstraint: lambda self, e: f"CHECK ({self.sql(e, 'this')})",
+  64        exp.CollateColumnConstraint: lambda self, e: f"COLLATE {self.sql(e, 'this')}",
+  65        exp.CopyGrantsProperty: lambda self, e: "COPY GRANTS",
+  66        exp.CommentColumnConstraint: lambda self, e: f"COMMENT {self.sql(e, 'this')}",
+  67        exp.DateFormatColumnConstraint: lambda self, e: f"FORMAT {self.sql(e, 'this')}",
+  68        exp.DefaultColumnConstraint: lambda self, e: f"DEFAULT {self.sql(e, 'this')}",
+  69        exp.EncodeColumnConstraint: lambda self, e: f"ENCODE {self.sql(e, 'this')}",
+  70        exp.ExecuteAsProperty: lambda self, e: self.naked_property(e),
+  71        exp.ExternalProperty: lambda self, e: "EXTERNAL",
+  72        exp.InlineLengthColumnConstraint: lambda self, e: f"INLINE LENGTH {self.sql(e, 'this')}",
+  73        exp.LanguageProperty: lambda self, e: self.naked_property(e),
+  74        exp.LocationProperty: lambda self, e: self.naked_property(e),
+  75        exp.LogProperty: lambda self, e: f"{'NO ' if e.args.get('no') else ''}LOG",
+  76        exp.MaterializedProperty: lambda self, e: "MATERIALIZED",
+  77        exp.NoPrimaryIndexProperty: lambda self, e: "NO PRIMARY INDEX",
+  78        exp.OnCommitProperty: lambda self, e: f"ON COMMIT {'DELETE' if e.args.get('delete') else 'PRESERVE'} ROWS",
+  79        exp.OnUpdateColumnConstraint: lambda self, e: f"ON UPDATE {self.sql(e, 'this')}",
+  80        exp.PathColumnConstraint: lambda self, e: f"PATH {self.sql(e, 'this')}",
+  81        exp.ReturnsProperty: lambda self, e: self.naked_property(e),
+  82        exp.SetProperty: lambda self, e: f"{'MULTI' if e.args.get('multi') else ''}SET",
+  83        exp.SettingsProperty: lambda self, e: f"SETTINGS{self.seg('')}{(self.expressions(e))}",
+  84        exp.SqlSecurityProperty: lambda self, e: f"SQL SECURITY {'DEFINER' if e.args.get('definer') else 'INVOKER'}",
+  85        exp.StabilityProperty: lambda self, e: e.name,
+  86        exp.TemporaryProperty: lambda self, e: f"TEMPORARY",
+  87        exp.ToTableProperty: lambda self, e: f"TO {self.sql(e.this)}",
+  88        exp.TransientProperty: lambda self, e: "TRANSIENT",
+  89        exp.TitleColumnConstraint: lambda self, e: f"TITLE {self.sql(e, 'this')}",
+  90        exp.UppercaseColumnConstraint: lambda self, e: f"UPPERCASE",
+  91        exp.VarMap: lambda self, e: self.func("MAP", e.args["keys"], e.args["values"]),
+  92        exp.VolatileProperty: lambda self, e: "VOLATILE",
+  93        exp.WithJournalTableProperty: lambda self, e: f"WITH JOURNAL TABLE={self.sql(e, 'this')}",
+  94    }
+  95
+  96    # Whether or not null ordering is supported in order by
+  97    NULL_ORDERING_SUPPORTED = True
+  98
+  99    # Whether or not locking reads (i.e. SELECT ... FOR UPDATE/SHARE) are supported
+ 100    LOCKING_READS_SUPPORTED = False
+ 101
+ 102    # Always do union distinct or union all
+ 103    EXPLICIT_UNION = False
+ 104
+ 105    # Wrap derived values in parens, usually standard but spark doesn't support it
+ 106    WRAP_DERIVED_VALUES = True
+ 107
+ 108    # Whether or not create function uses an AS before the RETURN
+ 109    CREATE_FUNCTION_RETURN_AS = True
+ 110
+ 111    # Whether or not MERGE ... WHEN MATCHED BY SOURCE is allowed
+ 112    MATCHED_BY_SOURCE = True
+ 113
+ 114    # Whether or not the INTERVAL expression works only with values like '1 day'
+ 115    SINGLE_STRING_INTERVAL = False
+ 116
+ 117    # Whether or not the plural form of date parts like day (i.e. "days") is supported in INTERVALs
+ 118    INTERVAL_ALLOWS_PLURAL_FORM = True
+ 119
+ 120    # Whether or not the TABLESAMPLE clause supports a method name, like BERNOULLI
+ 121    TABLESAMPLE_WITH_METHOD = True
+ 122
+ 123    # Whether or not to treat the number in TABLESAMPLE (50) as a percentage
+ 124    TABLESAMPLE_SIZE_IS_PERCENT = False
+ 125
+ 126    # Whether or not limit and fetch are supported (possible values: "ALL", "LIMIT", "FETCH")
+ 127    LIMIT_FETCH = "ALL"
+ 128
+ 129    # Whether or not a table is allowed to be renamed with a db
+ 130    RENAME_TABLE_WITH_DB = True
+ 131
+ 132    # The separator for grouping sets and rollups
+ 133    GROUPINGS_SEP = ","
+ 134
+ 135    # The string used for creating an index on a table
+ 136    INDEX_ON = "ON"
+ 137
+ 138    # Whether or not join hints should be generated
+ 139    JOIN_HINTS = True
+ 140
+ 141    # Whether or not table hints should be generated
+ 142    TABLE_HINTS = True
+ 143
+ 144    # Whether or not comparing against booleans (e.g. x IS TRUE) is supported
+ 145    IS_BOOL_ALLOWED = True
+ 146
+ 147    # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax
+ 148    SELECT_KINDS: t.Tuple[str, ...] = ("STRUCT", "VALUE")
+ 149
+ 150    TYPE_MAPPING = {
+ 151        exp.DataType.Type.NCHAR: "CHAR",
+ 152        exp.DataType.Type.NVARCHAR: "VARCHAR",
+ 153        exp.DataType.Type.MEDIUMTEXT: "TEXT",
+ 154        exp.DataType.Type.LONGTEXT: "TEXT",
+ 155        exp.DataType.Type.MEDIUMBLOB: "BLOB",
+ 156        exp.DataType.Type.LONGBLOB: "BLOB",
+ 157        exp.DataType.Type.INET: "INET",
+ 158    }
+ 159
+ 160    STAR_MAPPING = {
+ 161        "except": "EXCEPT",
+ 162        "replace": "REPLACE",
+ 163    }
+ 164
+ 165    TIME_PART_SINGULARS = {
+ 166        "microseconds": "microsecond",
+ 167        "seconds": "second",
+ 168        "minutes": "minute",
+ 169        "hours": "hour",
+ 170        "days": "day",
+ 171        "weeks": "week",
+ 172        "months": "month",
+ 173        "quarters": "quarter",
+ 174        "years": "year",
+ 175    }
  176
- 177    PARAMETER_TOKEN = "@"
+ 177    TOKEN_MAPPING: t.Dict[TokenType, str] = {}
  178
- 179    PROPERTIES_LOCATION = {
- 180        exp.AlgorithmProperty: exp.Properties.Location.POST_CREATE,
- 181        exp.AutoIncrementProperty: exp.Properties.Location.POST_SCHEMA,
- 182        exp.BlockCompressionProperty: exp.Properties.Location.POST_NAME,
- 183        exp.CharacterSetProperty: exp.Properties.Location.POST_SCHEMA,
- 184        exp.ChecksumProperty: exp.Properties.Location.POST_NAME,
- 185        exp.CollateProperty: exp.Properties.Location.POST_SCHEMA,
- 186        exp.Cluster: exp.Properties.Location.POST_SCHEMA,
- 187        exp.DataBlocksizeProperty: exp.Properties.Location.POST_NAME,
- 188        exp.DefinerProperty: exp.Properties.Location.POST_CREATE,
- 189        exp.DictRange: exp.Properties.Location.POST_SCHEMA,
- 190        exp.DictProperty: exp.Properties.Location.POST_SCHEMA,
- 191        exp.DistKeyProperty: exp.Properties.Location.POST_SCHEMA,
- 192        exp.DistStyleProperty: exp.Properties.Location.POST_SCHEMA,
- 193        exp.EngineProperty: exp.Properties.Location.POST_SCHEMA,
- 194        exp.ExecuteAsProperty: exp.Properties.Location.POST_SCHEMA,
- 195        exp.ExternalProperty: exp.Properties.Location.POST_CREATE,
- 196        exp.FallbackProperty: exp.Properties.Location.POST_NAME,
- 197        exp.FileFormatProperty: exp.Properties.Location.POST_WITH,
- 198        exp.FreespaceProperty: exp.Properties.Location.POST_NAME,
- 199        exp.IsolatedLoadingProperty: exp.Properties.Location.POST_NAME,
- 200        exp.JournalProperty: exp.Properties.Location.POST_NAME,
- 201        exp.LanguageProperty: exp.Properties.Location.POST_SCHEMA,
- 202        exp.LikeProperty: exp.Properties.Location.POST_SCHEMA,
- 203        exp.LocationProperty: exp.Properties.Location.POST_SCHEMA,
- 204        exp.LockingProperty: exp.Properties.Location.POST_ALIAS,
- 205        exp.LogProperty: exp.Properties.Location.POST_NAME,
- 206        exp.MaterializedProperty: exp.Properties.Location.POST_CREATE,
- 207        exp.MergeBlockRatioProperty: exp.Properties.Location.POST_NAME,
- 208        exp.NoPrimaryIndexProperty: exp.Properties.Location.POST_EXPRESSION,
- 209        exp.OnCommitProperty: exp.Properties.Location.POST_EXPRESSION,
- 210        exp.Order: exp.Properties.Location.POST_SCHEMA,
- 211        exp.PartitionedByProperty: exp.Properties.Location.POST_WITH,
- 212        exp.PrimaryKey: exp.Properties.Location.POST_SCHEMA,
- 213        exp.Property: exp.Properties.Location.POST_WITH,
- 214        exp.ReturnsProperty: exp.Properties.Location.POST_SCHEMA,
- 215        exp.RowFormatProperty: exp.Properties.Location.POST_SCHEMA,
- 216        exp.RowFormatDelimitedProperty: exp.Properties.Location.POST_SCHEMA,
- 217        exp.RowFormatSerdeProperty: exp.Properties.Location.POST_SCHEMA,
- 218        exp.SchemaCommentProperty: exp.Properties.Location.POST_SCHEMA,
- 219        exp.SerdeProperties: exp.Properties.Location.POST_SCHEMA,
- 220        exp.Set: exp.Properties.Location.POST_SCHEMA,
- 221        exp.SettingsProperty: exp.Properties.Location.POST_SCHEMA,
- 222        exp.SetProperty: exp.Properties.Location.POST_CREATE,
- 223        exp.SortKeyProperty: exp.Properties.Location.POST_SCHEMA,
- 224        exp.SqlSecurityProperty: exp.Properties.Location.POST_CREATE,
- 225        exp.StabilityProperty: exp.Properties.Location.POST_SCHEMA,
- 226        exp.TemporaryProperty: exp.Properties.Location.POST_CREATE,
- 227        exp.ToTableProperty: exp.Properties.Location.POST_SCHEMA,
- 228        exp.TransientProperty: exp.Properties.Location.POST_CREATE,
- 229        exp.MergeTreeTTL: exp.Properties.Location.POST_SCHEMA,
- 230        exp.VolatileProperty: exp.Properties.Location.POST_CREATE,
- 231        exp.WithDataProperty: exp.Properties.Location.POST_EXPRESSION,
- 232        exp.WithJournalTableProperty: exp.Properties.Location.POST_NAME,
- 233    }
- 234
- 235    # Keywords that can't be used as unquoted identifier names
- 236    RESERVED_KEYWORDS: t.Set[str] = set()
- 237
- 238    # Expressions whose comments are separated from them for better formatting
- 239    WITH_SEPARATED_COMMENTS: t.Tuple[t.Type[exp.Expression], ...] = (
- 240        exp.Select,
- 241        exp.From,
- 242        exp.Where,
- 243        exp.With,
- 244    )
- 245
- 246    # Expressions that can remain unwrapped when appearing in the context of an INTERVAL
- 247    UNWRAPPED_INTERVAL_VALUES: t.Tuple[t.Type[exp.Expression], ...] = (
- 248        exp.Column,
- 249        exp.Literal,
- 250        exp.Neg,
- 251        exp.Paren,
- 252    )
- 253
- 254    SENTINEL_LINE_BREAK = "__SQLGLOT__LB__"
- 255
- 256    # Autofilled
- 257    INVERSE_TIME_MAPPING: t.Dict[str, str] = {}
- 258    INVERSE_TIME_TRIE: t.Dict = {}
- 259    INDEX_OFFSET = 0
- 260    UNNEST_COLUMN_ONLY = False
- 261    ALIAS_POST_TABLESAMPLE = False
- 262    IDENTIFIERS_CAN_START_WITH_DIGIT = False
- 263    STRICT_STRING_CONCAT = False
- 264    NORMALIZE_FUNCTIONS: bool | str = "upper"
- 265    NULL_ORDERING = "nulls_are_small"
- 266
- 267    # Delimiters for quotes, identifiers and the corresponding escape characters
- 268    QUOTE_START = "'"
- 269    QUOTE_END = "'"
- 270    IDENTIFIER_START = '"'
- 271    IDENTIFIER_END = '"'
- 272    STRING_ESCAPE = "'"
- 273    IDENTIFIER_ESCAPE = '"'
- 274
- 275    # Delimiters for bit, hex, byte and raw literals
- 276    BIT_START: t.Optional[str] = None
- 277    BIT_END: t.Optional[str] = None
- 278    HEX_START: t.Optional[str] = None
- 279    HEX_END: t.Optional[str] = None
- 280    BYTE_START: t.Optional[str] = None
- 281    BYTE_END: t.Optional[str] = None
- 282    RAW_START: t.Optional[str] = None
- 283    RAW_END: t.Optional[str] = None
- 284
- 285    __slots__ = (
- 286        "pretty",
- 287        "identify",
- 288        "normalize",
- 289        "pad",
- 290        "_indent",
- 291        "normalize_functions",
- 292        "unsupported_level",
- 293        "max_unsupported",
- 294        "leading_comma",
- 295        "max_text_width",
- 296        "comments",
- 297        "unsupported_messages",
- 298        "_escaped_quote_end",
- 299        "_escaped_identifier_end",
- 300        "_cache",
- 301    )
- 302
- 303    def __init__(
- 304        self,
- 305        pretty: t.Optional[bool] = None,
- 306        identify: str | bool = False,
- 307        normalize: bool = False,
- 308        pad: int = 2,
- 309        indent: int = 2,
- 310        normalize_functions: t.Optional[str | bool] = None,
- 311        unsupported_level: ErrorLevel = ErrorLevel.WARN,
- 312        max_unsupported: int = 3,
- 313        leading_comma: bool = False,
- 314        max_text_width: int = 80,
- 315        comments: bool = True,
- 316    ):
- 317        import sqlglot
- 318
- 319        self.pretty = pretty if pretty is not None else sqlglot.pretty
- 320        self.identify = identify
- 321        self.normalize = normalize
- 322        self.pad = pad
- 323        self._indent = indent
- 324        self.unsupported_level = unsupported_level
- 325        self.max_unsupported = max_unsupported
- 326        self.leading_comma = leading_comma
- 327        self.max_text_width = max_text_width
- 328        self.comments = comments
- 329
- 330        # This is both a Dialect property and a Generator argument, so we prioritize the latter
- 331        self.normalize_functions = (
- 332            self.NORMALIZE_FUNCTIONS if normalize_functions is None else normalize_functions
- 333        )
- 334
- 335        self.unsupported_messages: t.List[str] = []
- 336        self._escaped_quote_end: str = self.STRING_ESCAPE + self.QUOTE_END
- 337        self._escaped_identifier_end: str = self.IDENTIFIER_ESCAPE + self.IDENTIFIER_END
- 338        self._cache: t.Optional[t.Dict[int, str]] = None
- 339
- 340    def generate(
- 341        self,
- 342        expression: t.Optional[exp.Expression],
- 343        cache: t.Optional[t.Dict[int, str]] = None,
- 344    ) -> str:
- 345        """
- 346        Generates the SQL string corresponding to the given syntax tree.
- 347
- 348        Args:
- 349            expression: The syntax tree.
- 350            cache: An optional sql string cache. This leverages the hash of an Expression
- 351                which can be slow to compute, so only use it if you set _hash on each node.
- 352
- 353        Returns:
- 354            The SQL string corresponding to `expression`.
- 355        """
- 356        if cache is not None:
- 357            self._cache = cache
- 358
- 359        self.unsupported_messages = []
- 360        sql = self.sql(expression).strip()
- 361        self._cache = None
- 362
- 363        if self.unsupported_level == ErrorLevel.IGNORE:
- 364            return sql
+ 179    STRUCT_DELIMITER = ("<", ">")
+ 180
+ 181    PARAMETER_TOKEN = "@"
+ 182
+ 183    PROPERTIES_LOCATION = {
+ 184        exp.AlgorithmProperty: exp.Properties.Location.POST_CREATE,
+ 185        exp.AutoIncrementProperty: exp.Properties.Location.POST_SCHEMA,
+ 186        exp.BlockCompressionProperty: exp.Properties.Location.POST_NAME,
+ 187        exp.CharacterSetProperty: exp.Properties.Location.POST_SCHEMA,
+ 188        exp.ChecksumProperty: exp.Properties.Location.POST_NAME,
+ 189        exp.CollateProperty: exp.Properties.Location.POST_SCHEMA,
+ 190        exp.CopyGrantsProperty: exp.Properties.Location.POST_SCHEMA,
+ 191        exp.Cluster: exp.Properties.Location.POST_SCHEMA,
+ 192        exp.DataBlocksizeProperty: exp.Properties.Location.POST_NAME,
+ 193        exp.DefinerProperty: exp.Properties.Location.POST_CREATE,
+ 194        exp.DictRange: exp.Properties.Location.POST_SCHEMA,
+ 195        exp.DictProperty: exp.Properties.Location.POST_SCHEMA,
+ 196        exp.DistKeyProperty: exp.Properties.Location.POST_SCHEMA,
+ 197        exp.DistStyleProperty: exp.Properties.Location.POST_SCHEMA,
+ 198        exp.EngineProperty: exp.Properties.Location.POST_SCHEMA,
+ 199        exp.ExecuteAsProperty: exp.Properties.Location.POST_SCHEMA,
+ 200        exp.ExternalProperty: exp.Properties.Location.POST_CREATE,
+ 201        exp.FallbackProperty: exp.Properties.Location.POST_NAME,
+ 202        exp.FileFormatProperty: exp.Properties.Location.POST_WITH,
+ 203        exp.FreespaceProperty: exp.Properties.Location.POST_NAME,
+ 204        exp.IsolatedLoadingProperty: exp.Properties.Location.POST_NAME,
+ 205        exp.JournalProperty: exp.Properties.Location.POST_NAME,
+ 206        exp.LanguageProperty: exp.Properties.Location.POST_SCHEMA,
+ 207        exp.LikeProperty: exp.Properties.Location.POST_SCHEMA,
+ 208        exp.LocationProperty: exp.Properties.Location.POST_SCHEMA,
+ 209        exp.LockingProperty: exp.Properties.Location.POST_ALIAS,
+ 210        exp.LogProperty: exp.Properties.Location.POST_NAME,
+ 211        exp.MaterializedProperty: exp.Properties.Location.POST_CREATE,
+ 212        exp.MergeBlockRatioProperty: exp.Properties.Location.POST_NAME,
+ 213        exp.NoPrimaryIndexProperty: exp.Properties.Location.POST_EXPRESSION,
+ 214        exp.OnCommitProperty: exp.Properties.Location.POST_EXPRESSION,
+ 215        exp.Order: exp.Properties.Location.POST_SCHEMA,
+ 216        exp.PartitionedByProperty: exp.Properties.Location.POST_WITH,
+ 217        exp.PrimaryKey: exp.Properties.Location.POST_SCHEMA,
+ 218        exp.Property: exp.Properties.Location.POST_WITH,
+ 219        exp.ReturnsProperty: exp.Properties.Location.POST_SCHEMA,
+ 220        exp.RowFormatProperty: exp.Properties.Location.POST_SCHEMA,
+ 221        exp.RowFormatDelimitedProperty: exp.Properties.Location.POST_SCHEMA,
+ 222        exp.RowFormatSerdeProperty: exp.Properties.Location.POST_SCHEMA,
+ 223        exp.SchemaCommentProperty: exp.Properties.Location.POST_SCHEMA,
+ 224        exp.SerdeProperties: exp.Properties.Location.POST_SCHEMA,
+ 225        exp.Set: exp.Properties.Location.POST_SCHEMA,
+ 226        exp.SettingsProperty: exp.Properties.Location.POST_SCHEMA,
+ 227        exp.SetProperty: exp.Properties.Location.POST_CREATE,
+ 228        exp.SortKeyProperty: exp.Properties.Location.POST_SCHEMA,
+ 229        exp.SqlSecurityProperty: exp.Properties.Location.POST_CREATE,
+ 230        exp.StabilityProperty: exp.Properties.Location.POST_SCHEMA,
+ 231        exp.TemporaryProperty: exp.Properties.Location.POST_CREATE,
+ 232        exp.ToTableProperty: exp.Properties.Location.POST_SCHEMA,
+ 233        exp.TransientProperty: exp.Properties.Location.POST_CREATE,
+ 234        exp.MergeTreeTTL: exp.Properties.Location.POST_SCHEMA,
+ 235        exp.VolatileProperty: exp.Properties.Location.POST_CREATE,
+ 236        exp.WithDataProperty: exp.Properties.Location.POST_EXPRESSION,
+ 237        exp.WithJournalTableProperty: exp.Properties.Location.POST_NAME,
+ 238    }
+ 239
+ 240    # Keywords that can't be used as unquoted identifier names
+ 241    RESERVED_KEYWORDS: t.Set[str] = set()
+ 242
+ 243    # Expressions whose comments are separated from them for better formatting
+ 244    WITH_SEPARATED_COMMENTS: t.Tuple[t.Type[exp.Expression], ...] = (
+ 245        exp.Select,
+ 246        exp.From,
+ 247        exp.Where,
+ 248        exp.With,
+ 249    )
+ 250
+ 251    # Expressions that can remain unwrapped when appearing in the context of an INTERVAL
+ 252    UNWRAPPED_INTERVAL_VALUES: t.Tuple[t.Type[exp.Expression], ...] = (
+ 253        exp.Column,
+ 254        exp.Literal,
+ 255        exp.Neg,
+ 256        exp.Paren,
+ 257    )
+ 258
+ 259    SENTINEL_LINE_BREAK = "__SQLGLOT__LB__"
+ 260
+ 261    # Autofilled
+ 262    INVERSE_TIME_MAPPING: t.Dict[str, str] = {}
+ 263    INVERSE_TIME_TRIE: t.Dict = {}
+ 264    INDEX_OFFSET = 0
+ 265    UNNEST_COLUMN_ONLY = False
+ 266    ALIAS_POST_TABLESAMPLE = False
+ 267    IDENTIFIERS_CAN_START_WITH_DIGIT = False
+ 268    STRICT_STRING_CONCAT = False
+ 269    NORMALIZE_FUNCTIONS: bool | str = "upper"
+ 270    NULL_ORDERING = "nulls_are_small"
+ 271
+ 272    can_identify: t.Callable[[str, str | bool], bool]
+ 273
+ 274    # Delimiters for quotes, identifiers and the corresponding escape characters
+ 275    QUOTE_START = "'"
+ 276    QUOTE_END = "'"
+ 277    IDENTIFIER_START = '"'
+ 278    IDENTIFIER_END = '"'
+ 279    STRING_ESCAPE = "'"
+ 280    IDENTIFIER_ESCAPE = '"'
+ 281
+ 282    # Delimiters for bit, hex, byte and raw literals
+ 283    BIT_START: t.Optional[str] = None
+ 284    BIT_END: t.Optional[str] = None
+ 285    HEX_START: t.Optional[str] = None
+ 286    HEX_END: t.Optional[str] = None
+ 287    BYTE_START: t.Optional[str] = None
+ 288    BYTE_END: t.Optional[str] = None
+ 289    RAW_START: t.Optional[str] = None
+ 290    RAW_END: t.Optional[str] = None
+ 291
+ 292    __slots__ = (
+ 293        "pretty",
+ 294        "identify",
+ 295        "normalize",
+ 296        "pad",
+ 297        "_indent",
+ 298        "normalize_functions",
+ 299        "unsupported_level",
+ 300        "max_unsupported",
+ 301        "leading_comma",
+ 302        "max_text_width",
+ 303        "comments",
+ 304        "unsupported_messages",
+ 305        "_escaped_quote_end",
+ 306        "_escaped_identifier_end",
+ 307        "_cache",
+ 308    )
+ 309
+ 310    def __init__(
+ 311        self,
+ 312        pretty: t.Optional[bool] = None,
+ 313        identify: str | bool = False,
+ 314        normalize: bool = False,
+ 315        pad: int = 2,
+ 316        indent: int = 2,
+ 317        normalize_functions: t.Optional[str | bool] = None,
+ 318        unsupported_level: ErrorLevel = ErrorLevel.WARN,
+ 319        max_unsupported: int = 3,
+ 320        leading_comma: bool = False,
+ 321        max_text_width: int = 80,
+ 322        comments: bool = True,
+ 323    ):
+ 324        import sqlglot
+ 325
+ 326        self.pretty = pretty if pretty is not None else sqlglot.pretty
+ 327        self.identify = identify
+ 328        self.normalize = normalize
+ 329        self.pad = pad
+ 330        self._indent = indent
+ 331        self.unsupported_level = unsupported_level
+ 332        self.max_unsupported = max_unsupported
+ 333        self.leading_comma = leading_comma
+ 334        self.max_text_width = max_text_width
+ 335        self.comments = comments
+ 336
+ 337        # This is both a Dialect property and a Generator argument, so we prioritize the latter
+ 338        self.normalize_functions = (
+ 339            self.NORMALIZE_FUNCTIONS if normalize_functions is None else normalize_functions
+ 340        )
+ 341
+ 342        self.unsupported_messages: t.List[str] = []
+ 343        self._escaped_quote_end: str = self.STRING_ESCAPE + self.QUOTE_END
+ 344        self._escaped_identifier_end: str = self.IDENTIFIER_ESCAPE + self.IDENTIFIER_END
+ 345        self._cache: t.Optional[t.Dict[int, str]] = None
+ 346
+ 347    def generate(
+ 348        self,
+ 349        expression: t.Optional[exp.Expression],
+ 350        cache: t.Optional[t.Dict[int, str]] = None,
+ 351    ) -> str:
+ 352        """
+ 353        Generates the SQL string corresponding to the given syntax tree.
+ 354
+ 355        Args:
+ 356            expression: The syntax tree.
+ 357            cache: An optional sql string cache. This leverages the hash of an Expression
+ 358                which can be slow to compute, so only use it if you set _hash on each node.
+ 359
+ 360        Returns:
+ 361            The SQL string corresponding to `expression`.
+ 362        """
+ 363        if cache is not None:
+ 364            self._cache = cache
  365
- 366        if self.unsupported_level == ErrorLevel.WARN:
- 367            for msg in self.unsupported_messages:
- 368                logger.warning(msg)
- 369        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
- 370            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
- 371
- 372        if self.pretty:
- 373            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
- 374        return sql
- 375
- 376    def unsupported(self, message: str) -> None:
- 377        if self.unsupported_level == ErrorLevel.IMMEDIATE:
- 378            raise UnsupportedError(message)
- 379        self.unsupported_messages.append(message)
- 380
- 381    def sep(self, sep: str = " ") -> str:
- 382        return f"{sep.strip()}\n" if self.pretty else sep
- 383
- 384    def seg(self, sql: str, sep: str = " ") -> str:
- 385        return f"{self.sep(sep)}{sql}"
- 386
- 387    def pad_comment(self, comment: str) -> str:
- 388        comment = " " + comment if comment[0].strip() else comment
- 389        comment = comment + " " if comment[-1].strip() else comment
- 390        return comment
- 391
- 392    def maybe_comment(
- 393        self,
- 394        sql: str,
- 395        expression: t.Optional[exp.Expression] = None,
- 396        comments: t.Optional[t.List[str]] = None,
- 397    ) -> str:
- 398        comments = (
- 399            ((expression and expression.comments) if comments is None else comments)  # type: ignore
- 400            if self.comments
- 401            else None
- 402        )
- 403
- 404        if not comments or isinstance(expression, exp.Binary):
- 405            return sql
- 406
- 407        sep = "\n" if self.pretty else " "
- 408        comments_sql = sep.join(
- 409            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
- 410        )
- 411
- 412        if not comments_sql:
- 413            return sql
- 414
- 415        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
- 416            return (
- 417                f"{self.sep()}{comments_sql}{sql}"
- 418                if sql[0].isspace()
- 419                else f"{comments_sql}{self.sep()}{sql}"
- 420            )
+ 366        self.unsupported_messages = []
+ 367        sql = self.sql(expression).strip()
+ 368        self._cache = None
+ 369
+ 370        if self.unsupported_level == ErrorLevel.IGNORE:
+ 371            return sql
+ 372
+ 373        if self.unsupported_level == ErrorLevel.WARN:
+ 374            for msg in self.unsupported_messages:
+ 375                logger.warning(msg)
+ 376        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
+ 377            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
+ 378
+ 379        if self.pretty:
+ 380            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
+ 381        return sql
+ 382
+ 383    def unsupported(self, message: str) -> None:
+ 384        if self.unsupported_level == ErrorLevel.IMMEDIATE:
+ 385            raise UnsupportedError(message)
+ 386        self.unsupported_messages.append(message)
+ 387
+ 388    def sep(self, sep: str = " ") -> str:
+ 389        return f"{sep.strip()}\n" if self.pretty else sep
+ 390
+ 391    def seg(self, sql: str, sep: str = " ") -> str:
+ 392        return f"{self.sep(sep)}{sql}"
+ 393
+ 394    def pad_comment(self, comment: str) -> str:
+ 395        comment = " " + comment if comment[0].strip() else comment
+ 396        comment = comment + " " if comment[-1].strip() else comment
+ 397        return comment
+ 398
+ 399    def maybe_comment(
+ 400        self,
+ 401        sql: str,
+ 402        expression: t.Optional[exp.Expression] = None,
+ 403        comments: t.Optional[t.List[str]] = None,
+ 404    ) -> str:
+ 405        comments = (
+ 406            ((expression and expression.comments) if comments is None else comments)  # type: ignore
+ 407            if self.comments
+ 408            else None
+ 409        )
+ 410
+ 411        if not comments or isinstance(expression, exp.Binary):
+ 412            return sql
+ 413
+ 414        sep = "\n" if self.pretty else " "
+ 415        comments_sql = sep.join(
+ 416            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
+ 417        )
+ 418
+ 419        if not comments_sql:
+ 420            return sql
  421
- 422        return f"{sql} {comments_sql}"
- 423
- 424    def wrap(self, expression: exp.Expression | str) -> str:
- 425        this_sql = self.indent(
- 426            self.sql(expression)
- 427            if isinstance(expression, (exp.Select, exp.Union))
- 428            else self.sql(expression, "this"),
- 429            level=1,
- 430            pad=0,
- 431        )
- 432        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
- 433
- 434    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
- 435        original = self.identify
- 436        self.identify = False
- 437        result = func(*args, **kwargs)
- 438        self.identify = original
- 439        return result
+ 422        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
+ 423            return (
+ 424                f"{self.sep()}{comments_sql}{sql}"
+ 425                if sql[0].isspace()
+ 426                else f"{comments_sql}{self.sep()}{sql}"
+ 427            )
+ 428
+ 429        return f"{sql} {comments_sql}"
+ 430
+ 431    def wrap(self, expression: exp.Expression | str) -> str:
+ 432        this_sql = self.indent(
+ 433            self.sql(expression)
+ 434            if isinstance(expression, (exp.Select, exp.Union))
+ 435            else self.sql(expression, "this"),
+ 436            level=1,
+ 437            pad=0,
+ 438        )
+ 439        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
  440
- 441    def normalize_func(self, name: str) -> str:
- 442        if self.normalize_functions == "upper" or self.normalize_functions is True:
- 443            return name.upper()
- 444        if self.normalize_functions == "lower":
- 445            return name.lower()
- 446        return name
+ 441    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
+ 442        original = self.identify
+ 443        self.identify = False
+ 444        result = func(*args, **kwargs)
+ 445        self.identify = original
+ 446        return result
  447
- 448    def indent(
- 449        self,
- 450        sql: str,
- 451        level: int = 0,
- 452        pad: t.Optional[int] = None,
- 453        skip_first: bool = False,
- 454        skip_last: bool = False,
- 455    ) -> str:
- 456        if not self.pretty:
- 457            return sql
- 458
- 459        pad = self.pad if pad is None else pad
- 460        lines = sql.split("\n")
- 461
- 462        return "\n".join(
- 463            line
- 464            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
- 465            else f"{' ' * (level * self._indent + pad)}{line}"
- 466            for i, line in enumerate(lines)
- 467        )
+ 448    def normalize_func(self, name: str) -> str:
+ 449        if self.normalize_functions == "upper" or self.normalize_functions is True:
+ 450            return name.upper()
+ 451        if self.normalize_functions == "lower":
+ 452            return name.lower()
+ 453        return name
+ 454
+ 455    def indent(
+ 456        self,
+ 457        sql: str,
+ 458        level: int = 0,
+ 459        pad: t.Optional[int] = None,
+ 460        skip_first: bool = False,
+ 461        skip_last: bool = False,
+ 462    ) -> str:
+ 463        if not self.pretty:
+ 464            return sql
+ 465
+ 466        pad = self.pad if pad is None else pad
+ 467        lines = sql.split("\n")
  468
- 469    def sql(
- 470        self,
- 471        expression: t.Optional[str | exp.Expression],
- 472        key: t.Optional[str] = None,
- 473        comment: bool = True,
- 474    ) -> str:
- 475        if not expression:
- 476            return ""
- 477
- 478        if isinstance(expression, str):
- 479            return expression
- 480
- 481        if key:
- 482            return self.sql(expression.args.get(key))
- 483
- 484        if self._cache is not None:
- 485            expression_id = hash(expression)
- 486
- 487            if expression_id in self._cache:
- 488                return self._cache[expression_id]
- 489
- 490        transform = self.TRANSFORMS.get(expression.__class__)
- 491
- 492        if callable(transform):
- 493            sql = transform(self, expression)
- 494        elif transform:
- 495            sql = transform
- 496        elif isinstance(expression, exp.Expression):
- 497            exp_handler_name = f"{expression.key}_sql"
+ 469        return "\n".join(
+ 470            line
+ 471            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
+ 472            else f"{' ' * (level * self._indent + pad)}{line}"
+ 473            for i, line in enumerate(lines)
+ 474        )
+ 475
+ 476    def sql(
+ 477        self,
+ 478        expression: t.Optional[str | exp.Expression],
+ 479        key: t.Optional[str] = None,
+ 480        comment: bool = True,
+ 481    ) -> str:
+ 482        if not expression:
+ 483            return ""
+ 484
+ 485        if isinstance(expression, str):
+ 486            return expression
+ 487
+ 488        if key:
+ 489            return self.sql(expression.args.get(key))
+ 490
+ 491        if self._cache is not None:
+ 492            expression_id = hash(expression)
+ 493
+ 494            if expression_id in self._cache:
+ 495                return self._cache[expression_id]
+ 496
+ 497        transform = self.TRANSFORMS.get(expression.__class__)
  498
- 499            if hasattr(self, exp_handler_name):
- 500                sql = getattr(self, exp_handler_name)(expression)
- 501            elif isinstance(expression, exp.Func):
- 502                sql = self.function_fallback_sql(expression)
- 503            elif isinstance(expression, exp.Property):
- 504                sql = self.property_sql(expression)
- 505            else:
- 506                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
- 507        else:
- 508            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
- 509
- 510        sql = self.maybe_comment(sql, expression) if self.comments and comment else sql
- 511
- 512        if self._cache is not None:
- 513            self._cache[expression_id] = sql
- 514        return sql
- 515
- 516    def uncache_sql(self, expression: exp.Uncache) -> str:
- 517        table = self.sql(expression, "this")
- 518        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
- 519        return f"UNCACHE TABLE{exists_sql} {table}"
- 520
- 521    def cache_sql(self, expression: exp.Cache) -> str:
- 522        lazy = " LAZY" if expression.args.get("lazy") else ""
- 523        table = self.sql(expression, "this")
- 524        options = expression.args.get("options")
- 525        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
- 526        sql = self.sql(expression, "expression")
- 527        sql = f" AS{self.sep()}{sql}" if sql else ""
- 528        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
- 529        return self.prepend_ctes(expression, sql)
- 530
- 531    def characterset_sql(self, expression: exp.CharacterSet) -> str:
- 532        if isinstance(expression.parent, exp.Cast):
- 533            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
- 534        default = "DEFAULT " if expression.args.get("default") else ""
- 535        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
- 536
- 537    def column_sql(self, expression: exp.Column) -> str:
- 538        return ".".join(
- 539            self.sql(part)
- 540            for part in (
- 541                expression.args.get("catalog"),
- 542                expression.args.get("db"),
- 543                expression.args.get("table"),
- 544                expression.args.get("this"),
- 545            )
- 546            if part
- 547        )
- 548
- 549    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
- 550        this = self.sql(expression, "this")
- 551        this = f" {this}" if this else ""
- 552        position = self.sql(expression, "position")
- 553        return f"{position}{this}"
- 554
- 555    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
- 556        column = self.sql(expression, "this")
- 557        kind = self.sql(expression, "kind")
- 558        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
- 559        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
- 560        kind = f"{sep}{kind}" if kind else ""
- 561        constraints = f" {constraints}" if constraints else ""
- 562        position = self.sql(expression, "position")
- 563        position = f" {position}" if position else ""
- 564
- 565        return f"{exists}{column}{kind}{constraints}{position}"
- 566
- 567    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
- 568        this = self.sql(expression, "this")
- 569        kind_sql = self.sql(expression, "kind").strip()
- 570        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
+ 499        if callable(transform):
+ 500            sql = transform(self, expression)
+ 501        elif transform:
+ 502            sql = transform
+ 503        elif isinstance(expression, exp.Expression):
+ 504            exp_handler_name = f"{expression.key}_sql"
+ 505
+ 506            if hasattr(self, exp_handler_name):
+ 507                sql = getattr(self, exp_handler_name)(expression)
+ 508            elif isinstance(expression, exp.Func):
+ 509                sql = self.function_fallback_sql(expression)
+ 510            elif isinstance(expression, exp.Property):
+ 511                sql = self.property_sql(expression)
+ 512            else:
+ 513                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
+ 514        else:
+ 515            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
+ 516
+ 517        sql = self.maybe_comment(sql, expression) if self.comments and comment else sql
+ 518
+ 519        if self._cache is not None:
+ 520            self._cache[expression_id] = sql
+ 521        return sql
+ 522
+ 523    def uncache_sql(self, expression: exp.Uncache) -> str:
+ 524        table = self.sql(expression, "this")
+ 525        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
+ 526        return f"UNCACHE TABLE{exists_sql} {table}"
+ 527
+ 528    def cache_sql(self, expression: exp.Cache) -> str:
+ 529        lazy = " LAZY" if expression.args.get("lazy") else ""
+ 530        table = self.sql(expression, "this")
+ 531        options = expression.args.get("options")
+ 532        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
+ 533        sql = self.sql(expression, "expression")
+ 534        sql = f" AS{self.sep()}{sql}" if sql else ""
+ 535        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
+ 536        return self.prepend_ctes(expression, sql)
+ 537
+ 538    def characterset_sql(self, expression: exp.CharacterSet) -> str:
+ 539        if isinstance(expression.parent, exp.Cast):
+ 540            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
+ 541        default = "DEFAULT " if expression.args.get("default") else ""
+ 542        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
+ 543
+ 544    def column_sql(self, expression: exp.Column) -> str:
+ 545        return ".".join(
+ 546            self.sql(part)
+ 547            for part in (
+ 548                expression.args.get("catalog"),
+ 549                expression.args.get("db"),
+ 550                expression.args.get("table"),
+ 551                expression.args.get("this"),
+ 552            )
+ 553            if part
+ 554        )
+ 555
+ 556    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
+ 557        this = self.sql(expression, "this")
+ 558        this = f" {this}" if this else ""
+ 559        position = self.sql(expression, "position")
+ 560        return f"{position}{this}"
+ 561
+ 562    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
+ 563        column = self.sql(expression, "this")
+ 564        kind = self.sql(expression, "kind")
+ 565        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
+ 566        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
+ 567        kind = f"{sep}{kind}" if kind else ""
+ 568        constraints = f" {constraints}" if constraints else ""
+ 569        position = self.sql(expression, "position")
+ 570        position = f" {position}" if position else ""
  571
- 572    def autoincrementcolumnconstraint_sql(self, _) -> str:
- 573        return self.token_sql(TokenType.AUTO_INCREMENT)
- 574
- 575    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
- 576        if isinstance(expression.this, list):
- 577            this = self.wrap(self.expressions(expression, key="this", flat=True))
- 578        else:
- 579            this = self.sql(expression, "this")
- 580
- 581        return f"COMPRESS {this}"
- 582
- 583    def generatedasidentitycolumnconstraint_sql(
- 584        self, expression: exp.GeneratedAsIdentityColumnConstraint
- 585    ) -> str:
- 586        this = ""
- 587        if expression.this is not None:
- 588            on_null = "ON NULL " if expression.args.get("on_null") else ""
- 589            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
- 590
- 591        start = expression.args.get("start")
- 592        start = f"START WITH {start}" if start else ""
- 593        increment = expression.args.get("increment")
- 594        increment = f" INCREMENT BY {increment}" if increment else ""
- 595        minvalue = expression.args.get("minvalue")
- 596        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
- 597        maxvalue = expression.args.get("maxvalue")
- 598        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
- 599        cycle = expression.args.get("cycle")
- 600        cycle_sql = ""
- 601
- 602        if cycle is not None:
- 603            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
- 604            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
- 605
- 606        sequence_opts = ""
- 607        if start or increment or cycle_sql:
- 608            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
- 609            sequence_opts = f" ({sequence_opts.strip()})"
- 610
- 611        expr = self.sql(expression, "expression")
- 612        expr = f"({expr})" if expr else "IDENTITY"
- 613
- 614        return f"GENERATED{this}AS {expr}{sequence_opts}"
- 615
- 616    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
- 617        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
- 618
- 619    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
- 620        desc = expression.args.get("desc")
- 621        if desc is not None:
- 622            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
- 623        return f"PRIMARY KEY"
- 624
- 625    def uniquecolumnconstraint_sql(self, expression: exp.UniqueColumnConstraint) -> str:
- 626        this = self.sql(expression, "this")
- 627        this = f" {this}" if this else ""
- 628        return f"UNIQUE{this}"
- 629
- 630    def createable_sql(
- 631        self, expression: exp.Create, locations: dict[exp.Properties.Location, list[exp.Property]]
- 632    ) -> str:
- 633        return self.sql(expression, "this")
- 634
- 635    def create_sql(self, expression: exp.Create) -> str:
- 636        kind = self.sql(expression, "kind").upper()
- 637        properties = expression.args.get("properties")
- 638        properties_locs = self.locate_properties(properties) if properties else {}
- 639
- 640        this = self.createable_sql(expression, properties_locs)
+ 572        return f"{exists}{column}{kind}{constraints}{position}"
+ 573
+ 574    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
+ 575        this = self.sql(expression, "this")
+ 576        kind_sql = self.sql(expression, "kind").strip()
+ 577        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
+ 578
+ 579    def autoincrementcolumnconstraint_sql(self, _) -> str:
+ 580        return self.token_sql(TokenType.AUTO_INCREMENT)
+ 581
+ 582    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
+ 583        if isinstance(expression.this, list):
+ 584            this = self.wrap(self.expressions(expression, key="this", flat=True))
+ 585        else:
+ 586            this = self.sql(expression, "this")
+ 587
+ 588        return f"COMPRESS {this}"
+ 589
+ 590    def generatedasidentitycolumnconstraint_sql(
+ 591        self, expression: exp.GeneratedAsIdentityColumnConstraint
+ 592    ) -> str:
+ 593        this = ""
+ 594        if expression.this is not None:
+ 595            on_null = "ON NULL " if expression.args.get("on_null") else ""
+ 596            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
+ 597
+ 598        start = expression.args.get("start")
+ 599        start = f"START WITH {start}" if start else ""
+ 600        increment = expression.args.get("increment")
+ 601        increment = f" INCREMENT BY {increment}" if increment else ""
+ 602        minvalue = expression.args.get("minvalue")
+ 603        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
+ 604        maxvalue = expression.args.get("maxvalue")
+ 605        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
+ 606        cycle = expression.args.get("cycle")
+ 607        cycle_sql = ""
+ 608
+ 609        if cycle is not None:
+ 610            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
+ 611            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
+ 612
+ 613        sequence_opts = ""
+ 614        if start or increment or cycle_sql:
+ 615            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
+ 616            sequence_opts = f" ({sequence_opts.strip()})"
+ 617
+ 618        expr = self.sql(expression, "expression")
+ 619        expr = f"({expr})" if expr else "IDENTITY"
+ 620
+ 621        return f"GENERATED{this}AS {expr}{sequence_opts}"
+ 622
+ 623    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
+ 624        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
+ 625
+ 626    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
+ 627        desc = expression.args.get("desc")
+ 628        if desc is not None:
+ 629            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
+ 630        return f"PRIMARY KEY"
+ 631
+ 632    def uniquecolumnconstraint_sql(self, expression: exp.UniqueColumnConstraint) -> str:
+ 633        this = self.sql(expression, "this")
+ 634        this = f" {this}" if this else ""
+ 635        return f"UNIQUE{this}"
+ 636
+ 637    def createable_sql(
+ 638        self, expression: exp.Create, locations: dict[exp.Properties.Location, list[exp.Property]]
+ 639    ) -> str:
+ 640        return self.sql(expression, "this")
  641
- 642        properties_sql = ""
- 643        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
- 644            exp.Properties.Location.POST_WITH
- 645        ):
- 646            properties_sql = self.sql(
- 647                exp.Properties(
- 648                    expressions=[
- 649                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
- 650                        *properties_locs[exp.Properties.Location.POST_WITH],
- 651                    ]
- 652                )
- 653            )
- 654
- 655        begin = " BEGIN" if expression.args.get("begin") else ""
- 656        expression_sql = self.sql(expression, "expression")
- 657        if expression_sql:
- 658            expression_sql = f"{begin}{self.sep()}{expression_sql}"
- 659
- 660            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
- 661                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
- 662                    postalias_props_sql = self.properties(
- 663                        exp.Properties(
- 664                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
- 665                        ),
- 666                        wrapped=False,
- 667                    )
- 668                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
- 669                else:
- 670                    expression_sql = f" AS{expression_sql}"
- 671
- 672        postindex_props_sql = ""
- 673        if properties_locs.get(exp.Properties.Location.POST_INDEX):
- 674            postindex_props_sql = self.properties(
- 675                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
- 676                wrapped=False,
- 677                prefix=" ",
- 678            )
- 679
- 680        indexes = self.expressions(expression, key="indexes", indent=False, sep=" ")
- 681        indexes = f" {indexes}" if indexes else ""
- 682        index_sql = indexes + postindex_props_sql
- 683
- 684        replace = " OR REPLACE" if expression.args.get("replace") else ""
- 685        unique = " UNIQUE" if expression.args.get("unique") else ""
+ 642    def create_sql(self, expression: exp.Create) -> str:
+ 643        kind = self.sql(expression, "kind").upper()
+ 644        properties = expression.args.get("properties")
+ 645        properties_locs = self.locate_properties(properties) if properties else {}
+ 646
+ 647        this = self.createable_sql(expression, properties_locs)
+ 648
+ 649        properties_sql = ""
+ 650        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
+ 651            exp.Properties.Location.POST_WITH
+ 652        ):
+ 653            properties_sql = self.sql(
+ 654                exp.Properties(
+ 655                    expressions=[
+ 656                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
+ 657                        *properties_locs[exp.Properties.Location.POST_WITH],
+ 658                    ]
+ 659                )
+ 660            )
+ 661
+ 662        begin = " BEGIN" if expression.args.get("begin") else ""
+ 663        expression_sql = self.sql(expression, "expression")
+ 664        if expression_sql:
+ 665            expression_sql = f"{begin}{self.sep()}{expression_sql}"
+ 666
+ 667            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
+ 668                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
+ 669                    postalias_props_sql = self.properties(
+ 670                        exp.Properties(
+ 671                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
+ 672                        ),
+ 673                        wrapped=False,
+ 674                    )
+ 675                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
+ 676                else:
+ 677                    expression_sql = f" AS{expression_sql}"
+ 678
+ 679        postindex_props_sql = ""
+ 680        if properties_locs.get(exp.Properties.Location.POST_INDEX):
+ 681            postindex_props_sql = self.properties(
+ 682                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
+ 683                wrapped=False,
+ 684                prefix=" ",
+ 685            )
  686
- 687        postcreate_props_sql = ""
- 688        if properties_locs.get(exp.Properties.Location.POST_CREATE):
- 689            postcreate_props_sql = self.properties(
- 690                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
- 691                sep=" ",
- 692                prefix=" ",
- 693                wrapped=False,
- 694            )
- 695
- 696        modifiers = "".join((replace, unique, postcreate_props_sql))
- 697
- 698        postexpression_props_sql = ""
- 699        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
- 700            postexpression_props_sql = self.properties(
- 701                exp.Properties(
- 702                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
- 703                ),
- 704                sep=" ",
- 705                prefix=" ",
- 706                wrapped=False,
- 707            )
- 708
- 709        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
- 710        no_schema_binding = (
- 711            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
- 712        )
- 713
- 714        clone = self.sql(expression, "clone")
- 715        clone = f" {clone}" if clone else ""
- 716
- 717        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
- 718        return self.prepend_ctes(expression, expression_sql)
- 719
- 720    def clone_sql(self, expression: exp.Clone) -> str:
- 721        this = self.sql(expression, "this")
- 722        when = self.sql(expression, "when")
+ 687        indexes = self.expressions(expression, key="indexes", indent=False, sep=" ")
+ 688        indexes = f" {indexes}" if indexes else ""
+ 689        index_sql = indexes + postindex_props_sql
+ 690
+ 691        replace = " OR REPLACE" if expression.args.get("replace") else ""
+ 692        unique = " UNIQUE" if expression.args.get("unique") else ""
+ 693
+ 694        postcreate_props_sql = ""
+ 695        if properties_locs.get(exp.Properties.Location.POST_CREATE):
+ 696            postcreate_props_sql = self.properties(
+ 697                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
+ 698                sep=" ",
+ 699                prefix=" ",
+ 700                wrapped=False,
+ 701            )
+ 702
+ 703        modifiers = "".join((replace, unique, postcreate_props_sql))
+ 704
+ 705        postexpression_props_sql = ""
+ 706        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
+ 707            postexpression_props_sql = self.properties(
+ 708                exp.Properties(
+ 709                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
+ 710                ),
+ 711                sep=" ",
+ 712                prefix=" ",
+ 713                wrapped=False,
+ 714            )
+ 715
+ 716        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
+ 717        no_schema_binding = (
+ 718            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
+ 719        )
+ 720
+ 721        clone = self.sql(expression, "clone")
+ 722        clone = f" {clone}" if clone else ""
  723
- 724        if when:
- 725            kind = self.sql(expression, "kind")
- 726            expr = self.sql(expression, "expression")
- 727            return f"CLONE {this} {when} ({kind} => {expr})"
- 728
- 729        return f"CLONE {this}"
+ 724        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
+ 725        return self.prepend_ctes(expression, expression_sql)
+ 726
+ 727    def clone_sql(self, expression: exp.Clone) -> str:
+ 728        this = self.sql(expression, "this")
+ 729        when = self.sql(expression, "when")
  730
- 731    def describe_sql(self, expression: exp.Describe) -> str:
- 732        return f"DESCRIBE {self.sql(expression, 'this')}"
- 733
- 734    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
- 735        with_ = self.sql(expression, "with")
- 736        if with_:
- 737            sql = f"{with_}{self.sep()}{sql}"
- 738        return sql
- 739
- 740    def with_sql(self, expression: exp.With) -> str:
- 741        sql = self.expressions(expression, flat=True)
- 742        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
- 743
- 744        return f"WITH {recursive}{sql}"
- 745
- 746    def cte_sql(self, expression: exp.CTE) -> str:
- 747        alias = self.sql(expression, "alias")
- 748        return f"{alias} AS {self.wrap(expression)}"
- 749
- 750    def tablealias_sql(self, expression: exp.TableAlias) -> str:
- 751        alias = self.sql(expression, "this")
- 752        columns = self.expressions(expression, key="columns", flat=True)
- 753        columns = f"({columns})" if columns else ""
- 754        return f"{alias}{columns}"
- 755
- 756    def bitstring_sql(self, expression: exp.BitString) -> str:
- 757        this = self.sql(expression, "this")
- 758        if self.BIT_START:
- 759            return f"{self.BIT_START}{this}{self.BIT_END}"
- 760        return f"{int(this, 2)}"
- 761
- 762    def hexstring_sql(self, expression: exp.HexString) -> str:
- 763        this = self.sql(expression, "this")
- 764        if self.HEX_START:
- 765            return f"{self.HEX_START}{this}{self.HEX_END}"
- 766        return f"{int(this, 16)}"
- 767
- 768    def bytestring_sql(self, expression: exp.ByteString) -> str:
- 769        this = self.sql(expression, "this")
- 770        if self.BYTE_START:
- 771            return f"{self.BYTE_START}{this}{self.BYTE_END}"
- 772        return this
- 773
- 774    def rawstring_sql(self, expression: exp.RawString) -> str:
- 775        if self.RAW_START:
- 776            return f"{self.RAW_START}{expression.name}{self.RAW_END}"
- 777        return self.sql(exp.Literal.string(expression.name.replace("\\", "\\\\")))
- 778
- 779    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
- 780        this = self.sql(expression, "this")
- 781        specifier = self.sql(expression, "expression")
- 782        specifier = f" {specifier}" if specifier else ""
- 783        return f"{this}{specifier}"
- 784
- 785    def datatype_sql(self, expression: exp.DataType) -> str:
- 786        type_value = expression.this
- 787        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
- 788        nested = ""
- 789        interior = self.expressions(expression, flat=True)
- 790        values = ""
- 791        if interior:
- 792            if expression.args.get("nested"):
- 793                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
- 794                if expression.args.get("values") is not None:
- 795                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
- 796                    values = self.expressions(expression, key="values", flat=True)
- 797                    values = f"{delimiters[0]}{values}{delimiters[1]}"
- 798            else:
- 799                nested = f"({interior})"
- 800
- 801        return f"{type_sql}{nested}{values}"
- 802
- 803    def directory_sql(self, expression: exp.Directory) -> str:
- 804        local = "LOCAL " if expression.args.get("local") else ""
- 805        row_format = self.sql(expression, "row_format")
- 806        row_format = f" {row_format}" if row_format else ""
- 807        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
- 808
- 809    def delete_sql(self, expression: exp.Delete) -> str:
- 810        this = self.sql(expression, "this")
- 811        this = f" FROM {this}" if this else ""
- 812        using_sql = (
- 813            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
- 814            if expression.args.get("using")
- 815            else ""
- 816        )
- 817        where_sql = self.sql(expression, "where")
- 818        returning = self.sql(expression, "returning")
- 819        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
- 820        return self.prepend_ctes(expression, sql)
- 821
- 822    def drop_sql(self, expression: exp.Drop) -> str:
- 823        this = self.sql(expression, "this")
- 824        kind = expression.args["kind"]
- 825        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
- 826        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
- 827        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
- 828        cascade = " CASCADE" if expression.args.get("cascade") else ""
- 829        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
- 830        purge = " PURGE" if expression.args.get("purge") else ""
- 831        return (
- 832            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
- 833        )
- 834
- 835    def except_sql(self, expression: exp.Except) -> str:
- 836        return self.prepend_ctes(
- 837            expression,
- 838            self.set_operation(expression, self.except_op(expression)),
- 839        )
- 840
- 841    def except_op(self, expression: exp.Except) -> str:
- 842        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
+ 731        if when:
+ 732            kind = self.sql(expression, "kind")
+ 733            expr = self.sql(expression, "expression")
+ 734            return f"CLONE {this} {when} ({kind} => {expr})"
+ 735
+ 736        return f"CLONE {this}"
+ 737
+ 738    def describe_sql(self, expression: exp.Describe) -> str:
+ 739        return f"DESCRIBE {self.sql(expression, 'this')}"
+ 740
+ 741    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
+ 742        with_ = self.sql(expression, "with")
+ 743        if with_:
+ 744            sql = f"{with_}{self.sep()}{sql}"
+ 745        return sql
+ 746
+ 747    def with_sql(self, expression: exp.With) -> str:
+ 748        sql = self.expressions(expression, flat=True)
+ 749        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
+ 750
+ 751        return f"WITH {recursive}{sql}"
+ 752
+ 753    def cte_sql(self, expression: exp.CTE) -> str:
+ 754        alias = self.sql(expression, "alias")
+ 755        return f"{alias} AS {self.wrap(expression)}"
+ 756
+ 757    def tablealias_sql(self, expression: exp.TableAlias) -> str:
+ 758        alias = self.sql(expression, "this")
+ 759        columns = self.expressions(expression, key="columns", flat=True)
+ 760        columns = f"({columns})" if columns else ""
+ 761        return f"{alias}{columns}"
+ 762
+ 763    def bitstring_sql(self, expression: exp.BitString) -> str:
+ 764        this = self.sql(expression, "this")
+ 765        if self.BIT_START:
+ 766            return f"{self.BIT_START}{this}{self.BIT_END}"
+ 767        return f"{int(this, 2)}"
+ 768
+ 769    def hexstring_sql(self, expression: exp.HexString) -> str:
+ 770        this = self.sql(expression, "this")
+ 771        if self.HEX_START:
+ 772            return f"{self.HEX_START}{this}{self.HEX_END}"
+ 773        return f"{int(this, 16)}"
+ 774
+ 775    def bytestring_sql(self, expression: exp.ByteString) -> str:
+ 776        this = self.sql(expression, "this")
+ 777        if self.BYTE_START:
+ 778            return f"{self.BYTE_START}{this}{self.BYTE_END}"
+ 779        return this
+ 780
+ 781    def rawstring_sql(self, expression: exp.RawString) -> str:
+ 782        string = expression.this
+ 783        if self.RAW_START:
+ 784            return f"{self.RAW_START}{self.escape_str(expression.this)}{self.RAW_END}"
+ 785        string = self.escape_str(string.replace("\\", "\\\\"))
+ 786        return f"{self.QUOTE_START}{string}{self.QUOTE_END}"
+ 787
+ 788    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
+ 789        this = self.sql(expression, "this")
+ 790        specifier = self.sql(expression, "expression")
+ 791        specifier = f" {specifier}" if specifier else ""
+ 792        return f"{this}{specifier}"
+ 793
+ 794    def datatype_sql(self, expression: exp.DataType) -> str:
+ 795        type_value = expression.this
+ 796        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
+ 797        nested = ""
+ 798        interior = self.expressions(expression, flat=True)
+ 799        values = ""
+ 800        if interior:
+ 801            if expression.args.get("nested"):
+ 802                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
+ 803                if expression.args.get("values") is not None:
+ 804                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
+ 805                    values = self.expressions(expression, key="values", flat=True)
+ 806                    values = f"{delimiters[0]}{values}{delimiters[1]}"
+ 807            else:
+ 808                nested = f"({interior})"
+ 809
+ 810        return f"{type_sql}{nested}{values}"
+ 811
+ 812    def directory_sql(self, expression: exp.Directory) -> str:
+ 813        local = "LOCAL " if expression.args.get("local") else ""
+ 814        row_format = self.sql(expression, "row_format")
+ 815        row_format = f" {row_format}" if row_format else ""
+ 816        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
+ 817
+ 818    def delete_sql(self, expression: exp.Delete) -> str:
+ 819        this = self.sql(expression, "this")
+ 820        this = f" FROM {this}" if this else ""
+ 821        using_sql = (
+ 822            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
+ 823            if expression.args.get("using")
+ 824            else ""
+ 825        )
+ 826        where_sql = self.sql(expression, "where")
+ 827        returning = self.sql(expression, "returning")
+ 828        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
+ 829        return self.prepend_ctes(expression, sql)
+ 830
+ 831    def drop_sql(self, expression: exp.Drop) -> str:
+ 832        this = self.sql(expression, "this")
+ 833        kind = expression.args["kind"]
+ 834        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+ 835        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+ 836        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
+ 837        cascade = " CASCADE" if expression.args.get("cascade") else ""
+ 838        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
+ 839        purge = " PURGE" if expression.args.get("purge") else ""
+ 840        return (
+ 841            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
+ 842        )
  843
- 844    def fetch_sql(self, expression: exp.Fetch) -> str:
- 845        direction = expression.args.get("direction")
- 846        direction = f" {direction.upper()}" if direction else ""
- 847        count = expression.args.get("count")
- 848        count = f" {count}" if count else ""
- 849        if expression.args.get("percent"):
- 850            count = f"{count} PERCENT"
- 851        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
- 852        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
- 853
- 854    def filter_sql(self, expression: exp.Filter) -> str:
- 855        this = self.sql(expression, "this")
- 856        where = self.sql(expression, "expression")[1:]  # where has a leading space
- 857        return f"{this} FILTER({where})"
- 858
- 859    def hint_sql(self, expression: exp.Hint) -> str:
- 860        if self.sql(expression, "this"):
- 861            self.unsupported("Hints are not supported")
- 862        return ""
- 863
- 864    def index_sql(self, expression: exp.Index) -> str:
- 865        unique = "UNIQUE " if expression.args.get("unique") else ""
- 866        primary = "PRIMARY " if expression.args.get("primary") else ""
- 867        amp = "AMP " if expression.args.get("amp") else ""
- 868        name = f"{expression.name} " if expression.name else ""
- 869        table = self.sql(expression, "table")
- 870        table = f"{self.INDEX_ON} {table} " if table else ""
- 871        using = self.sql(expression, "using")
- 872        using = f"USING {using} " if using else ""
- 873        index = "INDEX " if not table else ""
- 874        columns = self.expressions(expression, key="columns", flat=True)
- 875        columns = f"({columns})" if columns else ""
- 876        partition_by = self.expressions(expression, key="partition_by", flat=True)
- 877        partition_by = f" PARTITION BY {partition_by}" if partition_by else ""
- 878        return f"{unique}{primary}{amp}{index}{name}{table}{using}{columns}{partition_by}"
- 879
- 880    def identifier_sql(self, expression: exp.Identifier) -> str:
- 881        text = expression.name
- 882        lower = text.lower()
- 883        text = lower if self.normalize and not expression.quoted else text
- 884        text = text.replace(self.IDENTIFIER_END, self._escaped_identifier_end)
- 885        if (
- 886            expression.quoted
- 887            or should_identify(text, self.identify)
- 888            or lower in self.RESERVED_KEYWORDS
- 889            or (not self.IDENTIFIERS_CAN_START_WITH_DIGIT and text[:1].isdigit())
- 890        ):
- 891            text = f"{self.IDENTIFIER_START}{text}{self.IDENTIFIER_END}"
- 892        return text
- 893
- 894    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
- 895        input_format = self.sql(expression, "input_format")
- 896        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
- 897        output_format = self.sql(expression, "output_format")
- 898        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
- 899        return self.sep().join((input_format, output_format))
- 900
- 901    def national_sql(self, expression: exp.National, prefix: str = "N") -> str:
- 902        string = self.sql(exp.Literal.string(expression.name))
- 903        return f"{prefix}{string}"
- 904
- 905    def partition_sql(self, expression: exp.Partition) -> str:
- 906        return f"PARTITION({self.expressions(expression)})"
- 907
- 908    def properties_sql(self, expression: exp.Properties) -> str:
- 909        root_properties = []
- 910        with_properties = []
- 911
- 912        for p in expression.expressions:
- 913            p_loc = self.PROPERTIES_LOCATION[p.__class__]
- 914            if p_loc == exp.Properties.Location.POST_WITH:
- 915                with_properties.append(p)
- 916            elif p_loc == exp.Properties.Location.POST_SCHEMA:
- 917                root_properties.append(p)
- 918
- 919        return self.root_properties(
- 920            exp.Properties(expressions=root_properties)
- 921        ) + self.with_properties(exp.Properties(expressions=with_properties))
- 922
- 923    def root_properties(self, properties: exp.Properties) -> str:
- 924        if properties.expressions:
- 925            return self.sep() + self.expressions(properties, indent=False, sep=" ")
- 926        return ""
+ 844    def except_sql(self, expression: exp.Except) -> str:
+ 845        return self.prepend_ctes(
+ 846            expression,
+ 847            self.set_operation(expression, self.except_op(expression)),
+ 848        )
+ 849
+ 850    def except_op(self, expression: exp.Except) -> str:
+ 851        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
+ 852
+ 853    def fetch_sql(self, expression: exp.Fetch) -> str:
+ 854        direction = expression.args.get("direction")
+ 855        direction = f" {direction.upper()}" if direction else ""
+ 856        count = expression.args.get("count")
+ 857        count = f" {count}" if count else ""
+ 858        if expression.args.get("percent"):
+ 859            count = f"{count} PERCENT"
+ 860        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
+ 861        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
+ 862
+ 863    def filter_sql(self, expression: exp.Filter) -> str:
+ 864        this = self.sql(expression, "this")
+ 865        where = self.sql(expression, "expression")[1:]  # where has a leading space
+ 866        return f"{this} FILTER({where})"
+ 867
+ 868    def hint_sql(self, expression: exp.Hint) -> str:
+ 869        if self.sql(expression, "this"):
+ 870            self.unsupported("Hints are not supported")
+ 871        return ""
+ 872
+ 873    def index_sql(self, expression: exp.Index) -> str:
+ 874        unique = "UNIQUE " if expression.args.get("unique") else ""
+ 875        primary = "PRIMARY " if expression.args.get("primary") else ""
+ 876        amp = "AMP " if expression.args.get("amp") else ""
+ 877        name = f"{expression.name} " if expression.name else ""
+ 878        table = self.sql(expression, "table")
+ 879        table = f"{self.INDEX_ON} {table} " if table else ""
+ 880        using = self.sql(expression, "using")
+ 881        using = f"USING {using} " if using else ""
+ 882        index = "INDEX " if not table else ""
+ 883        columns = self.expressions(expression, key="columns", flat=True)
+ 884        columns = f"({columns})" if columns else ""
+ 885        partition_by = self.expressions(expression, key="partition_by", flat=True)
+ 886        partition_by = f" PARTITION BY {partition_by}" if partition_by else ""
+ 887        return f"{unique}{primary}{amp}{index}{name}{table}{using}{columns}{partition_by}"
+ 888
+ 889    def identifier_sql(self, expression: exp.Identifier) -> str:
+ 890        text = expression.name
+ 891        lower = text.lower()
+ 892        text = lower if self.normalize and not expression.quoted else text
+ 893        text = text.replace(self.IDENTIFIER_END, self._escaped_identifier_end)
+ 894        if (
+ 895            expression.quoted
+ 896            or self.can_identify(text, self.identify)
+ 897            or lower in self.RESERVED_KEYWORDS
+ 898            or (not self.IDENTIFIERS_CAN_START_WITH_DIGIT and text[:1].isdigit())
+ 899        ):
+ 900            text = f"{self.IDENTIFIER_START}{text}{self.IDENTIFIER_END}"
+ 901        return text
+ 902
+ 903    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
+ 904        input_format = self.sql(expression, "input_format")
+ 905        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
+ 906        output_format = self.sql(expression, "output_format")
+ 907        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
+ 908        return self.sep().join((input_format, output_format))
+ 909
+ 910    def national_sql(self, expression: exp.National, prefix: str = "N") -> str:
+ 911        string = self.sql(exp.Literal.string(expression.name))
+ 912        return f"{prefix}{string}"
+ 913
+ 914    def partition_sql(self, expression: exp.Partition) -> str:
+ 915        return f"PARTITION({self.expressions(expression)})"
+ 916
+ 917    def properties_sql(self, expression: exp.Properties) -> str:
+ 918        root_properties = []
+ 919        with_properties = []
+ 920
+ 921        for p in expression.expressions:
+ 922            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+ 923            if p_loc == exp.Properties.Location.POST_WITH:
+ 924                with_properties.append(p)
+ 925            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+ 926                root_properties.append(p)
  927
- 928    def properties(
- 929        self,
- 930        properties: exp.Properties,
- 931        prefix: str = "",
- 932        sep: str = ", ",
- 933        suffix: str = "",
- 934        wrapped: bool = True,
- 935    ) -> str:
- 936        if properties.expressions:
- 937            expressions = self.expressions(properties, sep=sep, indent=False)
- 938            expressions = self.wrap(expressions) if wrapped else expressions
- 939            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
- 940        return ""
- 941
- 942    def with_properties(self, properties: exp.Properties) -> str:
- 943        return self.properties(properties, prefix=self.seg("WITH"))
- 944
- 945    def locate_properties(
- 946        self, properties: exp.Properties
- 947    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
- 948        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
- 949            key: [] for key in exp.Properties.Location
- 950        }
- 951
- 952        for p in properties.expressions:
- 953            p_loc = self.PROPERTIES_LOCATION[p.__class__]
- 954            if p_loc == exp.Properties.Location.POST_NAME:
- 955                properties_locs[exp.Properties.Location.POST_NAME].append(p)
- 956            elif p_loc == exp.Properties.Location.POST_INDEX:
- 957                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
- 958            elif p_loc == exp.Properties.Location.POST_SCHEMA:
- 959                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
- 960            elif p_loc == exp.Properties.Location.POST_WITH:
- 961                properties_locs[exp.Properties.Location.POST_WITH].append(p)
- 962            elif p_loc == exp.Properties.Location.POST_CREATE:
- 963                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
- 964            elif p_loc == exp.Properties.Location.POST_ALIAS:
- 965                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
- 966            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
- 967                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
- 968            elif p_loc == exp.Properties.Location.UNSUPPORTED:
- 969                self.unsupported(f"Unsupported property {p.key}")
- 970
- 971        return properties_locs
- 972
- 973    def property_sql(self, expression: exp.Property) -> str:
- 974        property_cls = expression.__class__
- 975        if property_cls == exp.Property:
- 976            return f"{expression.name}={self.sql(expression, 'value')}"
- 977
- 978        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
- 979        if not property_name:
- 980            self.unsupported(f"Unsupported property {expression.key}")
+ 928        return self.root_properties(
+ 929            exp.Properties(expressions=root_properties)
+ 930        ) + self.with_properties(exp.Properties(expressions=with_properties))
+ 931
+ 932    def root_properties(self, properties: exp.Properties) -> str:
+ 933        if properties.expressions:
+ 934            return self.sep() + self.expressions(properties, indent=False, sep=" ")
+ 935        return ""
+ 936
+ 937    def properties(
+ 938        self,
+ 939        properties: exp.Properties,
+ 940        prefix: str = "",
+ 941        sep: str = ", ",
+ 942        suffix: str = "",
+ 943        wrapped: bool = True,
+ 944    ) -> str:
+ 945        if properties.expressions:
+ 946            expressions = self.expressions(properties, sep=sep, indent=False)
+ 947            expressions = self.wrap(expressions) if wrapped else expressions
+ 948            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
+ 949        return ""
+ 950
+ 951    def with_properties(self, properties: exp.Properties) -> str:
+ 952        return self.properties(properties, prefix=self.seg("WITH"))
+ 953
+ 954    def locate_properties(
+ 955        self, properties: exp.Properties
+ 956    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
+ 957        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
+ 958            key: [] for key in exp.Properties.Location
+ 959        }
+ 960
+ 961        for p in properties.expressions:
+ 962            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+ 963            if p_loc == exp.Properties.Location.POST_NAME:
+ 964                properties_locs[exp.Properties.Location.POST_NAME].append(p)
+ 965            elif p_loc == exp.Properties.Location.POST_INDEX:
+ 966                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
+ 967            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+ 968                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
+ 969            elif p_loc == exp.Properties.Location.POST_WITH:
+ 970                properties_locs[exp.Properties.Location.POST_WITH].append(p)
+ 971            elif p_loc == exp.Properties.Location.POST_CREATE:
+ 972                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
+ 973            elif p_loc == exp.Properties.Location.POST_ALIAS:
+ 974                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
+ 975            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
+ 976                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
+ 977            elif p_loc == exp.Properties.Location.UNSUPPORTED:
+ 978                self.unsupported(f"Unsupported property {p.key}")
+ 979
+ 980        return properties_locs
  981
- 982        return f"{property_name}={self.sql(expression, 'this')}"
- 983
- 984    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
- 985        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
- 986        options = f" {options}" if options else ""
- 987        return f"LIKE {self.sql(expression, 'this')}{options}"
- 988
- 989    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
- 990        no = "NO " if expression.args.get("no") else ""
- 991        protection = " PROTECTION" if expression.args.get("protection") else ""
- 992        return f"{no}FALLBACK{protection}"
- 993
- 994    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
- 995        no = "NO " if expression.args.get("no") else ""
- 996        local = expression.args.get("local")
- 997        local = f"{local} " if local else ""
- 998        dual = "DUAL " if expression.args.get("dual") else ""
- 999        before = "BEFORE " if expression.args.get("before") else ""
-1000        after = "AFTER " if expression.args.get("after") else ""
-1001        return f"{no}{local}{dual}{before}{after}JOURNAL"
+ 982    def property_sql(self, expression: exp.Property) -> str:
+ 983        property_cls = expression.__class__
+ 984        if property_cls == exp.Property:
+ 985            return f"{expression.name}={self.sql(expression, 'value')}"
+ 986
+ 987        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
+ 988        if not property_name:
+ 989            self.unsupported(f"Unsupported property {expression.key}")
+ 990
+ 991        return f"{property_name}={self.sql(expression, 'this')}"
+ 992
+ 993    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
+ 994        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
+ 995        options = f" {options}" if options else ""
+ 996        return f"LIKE {self.sql(expression, 'this')}{options}"
+ 997
+ 998    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
+ 999        no = "NO " if expression.args.get("no") else ""
+1000        protection = " PROTECTION" if expression.args.get("protection") else ""
+1001        return f"{no}FALLBACK{protection}"
 1002
-1003    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
-1004        freespace = self.sql(expression, "this")
-1005        percent = " PERCENT" if expression.args.get("percent") else ""
-1006        return f"FREESPACE={freespace}{percent}"
-1007
-1008    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
-1009        if expression.args.get("default"):
-1010            property = "DEFAULT"
-1011        elif expression.args.get("on"):
-1012            property = "ON"
-1013        else:
-1014            property = "OFF"
-1015        return f"CHECKSUM={property}"
+1003    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
+1004        no = "NO " if expression.args.get("no") else ""
+1005        local = expression.args.get("local")
+1006        local = f"{local} " if local else ""
+1007        dual = "DUAL " if expression.args.get("dual") else ""
+1008        before = "BEFORE " if expression.args.get("before") else ""
+1009        after = "AFTER " if expression.args.get("after") else ""
+1010        return f"{no}{local}{dual}{before}{after}JOURNAL"
+1011
+1012    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
+1013        freespace = self.sql(expression, "this")
+1014        percent = " PERCENT" if expression.args.get("percent") else ""
+1015        return f"FREESPACE={freespace}{percent}"
 1016
-1017    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
-1018        if expression.args.get("no"):
-1019            return "NO MERGEBLOCKRATIO"
-1020        if expression.args.get("default"):
-1021            return "DEFAULT MERGEBLOCKRATIO"
-1022
-1023        percent = " PERCENT" if expression.args.get("percent") else ""
-1024        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
+1017    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
+1018        if expression.args.get("default"):
+1019            property = "DEFAULT"
+1020        elif expression.args.get("on"):
+1021            property = "ON"
+1022        else:
+1023            property = "OFF"
+1024        return f"CHECKSUM={property}"
 1025
-1026    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
-1027        default = expression.args.get("default")
-1028        minimum = expression.args.get("minimum")
-1029        maximum = expression.args.get("maximum")
-1030        if default or minimum or maximum:
-1031            if default:
-1032                prop = "DEFAULT"
-1033            elif minimum:
-1034                prop = "MINIMUM"
-1035            else:
-1036                prop = "MAXIMUM"
-1037            return f"{prop} DATABLOCKSIZE"
-1038        units = expression.args.get("units")
-1039        units = f" {units}" if units else ""
-1040        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
-1041
-1042    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
-1043        autotemp = expression.args.get("autotemp")
-1044        always = expression.args.get("always")
-1045        default = expression.args.get("default")
-1046        manual = expression.args.get("manual")
-1047        never = expression.args.get("never")
-1048
-1049        if autotemp is not None:
-1050            prop = f"AUTOTEMP({self.expressions(autotemp)})"
-1051        elif always:
-1052            prop = "ALWAYS"
-1053        elif default:
-1054            prop = "DEFAULT"
-1055        elif manual:
-1056            prop = "MANUAL"
-1057        elif never:
-1058            prop = "NEVER"
-1059        return f"BLOCKCOMPRESSION={prop}"
-1060
-1061    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
-1062        no = expression.args.get("no")
-1063        no = " NO" if no else ""
-1064        concurrent = expression.args.get("concurrent")
-1065        concurrent = " CONCURRENT" if concurrent else ""
-1066
-1067        for_ = ""
-1068        if expression.args.get("for_all"):
-1069            for_ = " FOR ALL"
-1070        elif expression.args.get("for_insert"):
-1071            for_ = " FOR INSERT"
-1072        elif expression.args.get("for_none"):
-1073            for_ = " FOR NONE"
-1074        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
+1026    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
+1027        if expression.args.get("no"):
+1028            return "NO MERGEBLOCKRATIO"
+1029        if expression.args.get("default"):
+1030            return "DEFAULT MERGEBLOCKRATIO"
+1031
+1032        percent = " PERCENT" if expression.args.get("percent") else ""
+1033        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
+1034
+1035    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
+1036        default = expression.args.get("default")
+1037        minimum = expression.args.get("minimum")
+1038        maximum = expression.args.get("maximum")
+1039        if default or minimum or maximum:
+1040            if default:
+1041                prop = "DEFAULT"
+1042            elif minimum:
+1043                prop = "MINIMUM"
+1044            else:
+1045                prop = "MAXIMUM"
+1046            return f"{prop} DATABLOCKSIZE"
+1047        units = expression.args.get("units")
+1048        units = f" {units}" if units else ""
+1049        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
+1050
+1051    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
+1052        autotemp = expression.args.get("autotemp")
+1053        always = expression.args.get("always")
+1054        default = expression.args.get("default")
+1055        manual = expression.args.get("manual")
+1056        never = expression.args.get("never")
+1057
+1058        if autotemp is not None:
+1059            prop = f"AUTOTEMP({self.expressions(autotemp)})"
+1060        elif always:
+1061            prop = "ALWAYS"
+1062        elif default:
+1063            prop = "DEFAULT"
+1064        elif manual:
+1065            prop = "MANUAL"
+1066        elif never:
+1067            prop = "NEVER"
+1068        return f"BLOCKCOMPRESSION={prop}"
+1069
+1070    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
+1071        no = expression.args.get("no")
+1072        no = " NO" if no else ""
+1073        concurrent = expression.args.get("concurrent")
+1074        concurrent = " CONCURRENT" if concurrent else ""
 1075
-1076    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
-1077        kind = expression.args.get("kind")
-1078        this = f" {self.sql(expression, 'this')}" if expression.this else ""
-1079        for_or_in = expression.args.get("for_or_in")
-1080        lock_type = expression.args.get("lock_type")
-1081        override = " OVERRIDE" if expression.args.get("override") else ""
-1082        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
-1083
-1084    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
-1085        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
-1086        statistics = expression.args.get("statistics")
-1087        statistics_sql = ""
-1088        if statistics is not None:
-1089            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
-1090        return f"{data_sql}{statistics_sql}"
-1091
-1092    def insert_sql(self, expression: exp.Insert) -> str:
-1093        overwrite = expression.args.get("overwrite")
-1094
-1095        if isinstance(expression.this, exp.Directory):
-1096            this = "OVERWRITE " if overwrite else "INTO "
-1097        else:
-1098            this = "OVERWRITE TABLE " if overwrite else "INTO "
-1099
-1100        alternative = expression.args.get("alternative")
-1101        alternative = f" OR {alternative} " if alternative else " "
-1102        this = f"{this}{self.sql(expression, 'this')}"
+1076        for_ = ""
+1077        if expression.args.get("for_all"):
+1078            for_ = " FOR ALL"
+1079        elif expression.args.get("for_insert"):
+1080            for_ = " FOR INSERT"
+1081        elif expression.args.get("for_none"):
+1082            for_ = " FOR NONE"
+1083        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
+1084
+1085    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
+1086        kind = expression.args.get("kind")
+1087        this = f" {self.sql(expression, 'this')}" if expression.this else ""
+1088        for_or_in = expression.args.get("for_or_in")
+1089        lock_type = expression.args.get("lock_type")
+1090        override = " OVERRIDE" if expression.args.get("override") else ""
+1091        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
+1092
+1093    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
+1094        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
+1095        statistics = expression.args.get("statistics")
+1096        statistics_sql = ""
+1097        if statistics is not None:
+1098            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
+1099        return f"{data_sql}{statistics_sql}"
+1100
+1101    def insert_sql(self, expression: exp.Insert) -> str:
+1102        overwrite = expression.args.get("overwrite")
 1103
-1104        exists = " IF EXISTS " if expression.args.get("exists") else " "
-1105        partition_sql = (
-1106            self.sql(expression, "partition") if expression.args.get("partition") else ""
-1107        )
-1108        expression_sql = self.sql(expression, "expression")
-1109        conflict = self.sql(expression, "conflict")
-1110        returning = self.sql(expression, "returning")
-1111        sep = self.sep() if partition_sql else ""
-1112        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
-1113        return self.prepend_ctes(expression, sql)
-1114
-1115    def intersect_sql(self, expression: exp.Intersect) -> str:
-1116        return self.prepend_ctes(
-1117            expression,
-1118            self.set_operation(expression, self.intersect_op(expression)),
-1119        )
-1120
-1121    def intersect_op(self, expression: exp.Intersect) -> str:
-1122        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
+1104        if isinstance(expression.this, exp.Directory):
+1105            this = "OVERWRITE " if overwrite else "INTO "
+1106        else:
+1107            this = "OVERWRITE TABLE " if overwrite else "INTO "
+1108
+1109        alternative = expression.args.get("alternative")
+1110        alternative = f" OR {alternative} " if alternative else " "
+1111        this = f"{this}{self.sql(expression, 'this')}"
+1112
+1113        exists = " IF EXISTS " if expression.args.get("exists") else " "
+1114        partition_sql = (
+1115            self.sql(expression, "partition") if expression.args.get("partition") else ""
+1116        )
+1117        expression_sql = self.sql(expression, "expression")
+1118        conflict = self.sql(expression, "conflict")
+1119        returning = self.sql(expression, "returning")
+1120        sep = self.sep() if partition_sql else ""
+1121        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
+1122        return self.prepend_ctes(expression, sql)
 1123
-1124    def introducer_sql(self, expression: exp.Introducer) -> str:
-1125        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
-1126
-1127    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
-1128        return expression.name.upper()
+1124    def intersect_sql(self, expression: exp.Intersect) -> str:
+1125        return self.prepend_ctes(
+1126            expression,
+1127            self.set_operation(expression, self.intersect_op(expression)),
+1128        )
 1129
-1130    def onconflict_sql(self, expression: exp.OnConflict) -> str:
-1131        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
-1132        constraint = self.sql(expression, "constraint")
-1133        if constraint:
-1134            constraint = f"ON CONSTRAINT {constraint}"
-1135        key = self.expressions(expression, key="key", flat=True)
-1136        do = "" if expression.args.get("duplicate") else " DO "
-1137        nothing = "NOTHING" if expression.args.get("nothing") else ""
-1138        expressions = self.expressions(expression, flat=True)
-1139        if expressions:
-1140            expressions = f"UPDATE SET {expressions}"
-1141        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
-1142
-1143    def returning_sql(self, expression: exp.Returning) -> str:
-1144        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
-1145
-1146    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
-1147        fields = expression.args.get("fields")
-1148        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
-1149        escaped = expression.args.get("escaped")
-1150        escaped = f" ESCAPED BY {escaped}" if escaped else ""
-1151        items = expression.args.get("collection_items")
-1152        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
-1153        keys = expression.args.get("map_keys")
-1154        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
-1155        lines = expression.args.get("lines")
-1156        lines = f" LINES TERMINATED BY {lines}" if lines else ""
-1157        null = expression.args.get("null")
-1158        null = f" NULL DEFINED AS {null}" if null else ""
-1159        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
-1160
-1161    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
-1162        table = ".".join(
-1163            part
-1164            for part in [
-1165                self.sql(expression, "catalog"),
-1166                self.sql(expression, "db"),
-1167                self.sql(expression, "this"),
-1168            ]
-1169            if part
-1170        )
-1171
-1172        alias = self.sql(expression, "alias")
-1173        alias = f"{sep}{alias}" if alias else ""
-1174        hints = self.expressions(expression, key="hints", flat=True)
-1175        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
-1176        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1177        pivots = f" {pivots}" if pivots else ""
-1178        joins = self.expressions(expression, key="joins", sep="")
-1179        laterals = self.expressions(expression, key="laterals", sep="")
-1180        system_time = expression.args.get("system_time")
-1181        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
-1182
-1183        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
-1184
-1185    def tablesample_sql(
-1186        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
-1187    ) -> str:
-1188        if self.ALIAS_POST_TABLESAMPLE and expression.this.alias:
-1189            table = expression.this.copy()
-1190            table.set("alias", None)
-1191            this = self.sql(table)
-1192            alias = f"{sep}{self.sql(expression.this, 'alias')}"
-1193        else:
-1194            this = self.sql(expression, "this")
-1195            alias = ""
-1196        method = self.sql(expression, "method")
-1197        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
-1198        numerator = self.sql(expression, "bucket_numerator")
-1199        denominator = self.sql(expression, "bucket_denominator")
-1200        field = self.sql(expression, "bucket_field")
-1201        field = f" ON {field}" if field else ""
-1202        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
-1203        percent = self.sql(expression, "percent")
-1204        percent = f"{percent} PERCENT" if percent else ""
-1205        rows = self.sql(expression, "rows")
-1206        rows = f"{rows} ROWS" if rows else ""
-1207        size = self.sql(expression, "size")
-1208        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
-1209            size = f"{size} PERCENT"
-1210        seed = self.sql(expression, "seed")
-1211        seed = f" {seed_prefix} ({seed})" if seed else ""
-1212        kind = expression.args.get("kind", "TABLESAMPLE")
-1213        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
-1214
-1215    def pivot_sql(self, expression: exp.Pivot) -> str:
-1216        expressions = self.expressions(expression, flat=True)
-1217
-1218        if expression.this:
-1219            this = self.sql(expression, "this")
-1220            on = f"{self.seg('ON')} {expressions}"
-1221            using = self.expressions(expression, key="using", flat=True)
-1222            using = f"{self.seg('USING')} {using}" if using else ""
-1223            group = self.sql(expression, "group")
-1224            return f"PIVOT {this}{on}{using}{group}"
-1225
-1226        alias = self.sql(expression, "alias")
-1227        alias = f" AS {alias}" if alias else ""
-1228        unpivot = expression.args.get("unpivot")
-1229        direction = "UNPIVOT" if unpivot else "PIVOT"
-1230        field = self.sql(expression, "field")
-1231        return f"{direction}({expressions} FOR {field}){alias}"
-1232
-1233    def tuple_sql(self, expression: exp.Tuple) -> str:
-1234        return f"({self.expressions(expression, flat=True)})"
-1235
-1236    def update_sql(self, expression: exp.Update) -> str:
-1237        this = self.sql(expression, "this")
-1238        set_sql = self.expressions(expression, flat=True)
-1239        from_sql = self.sql(expression, "from")
-1240        where_sql = self.sql(expression, "where")
-1241        returning = self.sql(expression, "returning")
-1242        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
-1243        return self.prepend_ctes(expression, sql)
+1130    def intersect_op(self, expression: exp.Intersect) -> str:
+1131        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
+1132
+1133    def introducer_sql(self, expression: exp.Introducer) -> str:
+1134        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
+1135
+1136    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
+1137        return expression.name.upper()
+1138
+1139    def onconflict_sql(self, expression: exp.OnConflict) -> str:
+1140        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
+1141        constraint = self.sql(expression, "constraint")
+1142        if constraint:
+1143            constraint = f"ON CONSTRAINT {constraint}"
+1144        key = self.expressions(expression, key="key", flat=True)
+1145        do = "" if expression.args.get("duplicate") else " DO "
+1146        nothing = "NOTHING" if expression.args.get("nothing") else ""
+1147        expressions = self.expressions(expression, flat=True)
+1148        if expressions:
+1149            expressions = f"UPDATE SET {expressions}"
+1150        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
+1151
+1152    def returning_sql(self, expression: exp.Returning) -> str:
+1153        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
+1154
+1155    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
+1156        fields = expression.args.get("fields")
+1157        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
+1158        escaped = expression.args.get("escaped")
+1159        escaped = f" ESCAPED BY {escaped}" if escaped else ""
+1160        items = expression.args.get("collection_items")
+1161        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
+1162        keys = expression.args.get("map_keys")
+1163        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
+1164        lines = expression.args.get("lines")
+1165        lines = f" LINES TERMINATED BY {lines}" if lines else ""
+1166        null = expression.args.get("null")
+1167        null = f" NULL DEFINED AS {null}" if null else ""
+1168        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
+1169
+1170    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
+1171        table = ".".join(
+1172            part
+1173            for part in [
+1174                self.sql(expression, "catalog"),
+1175                self.sql(expression, "db"),
+1176                self.sql(expression, "this"),
+1177            ]
+1178            if part
+1179        )
+1180
+1181        alias = self.sql(expression, "alias")
+1182        alias = f"{sep}{alias}" if alias else ""
+1183        hints = self.expressions(expression, key="hints", flat=True)
+1184        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
+1185        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1186        pivots = f" {pivots}" if pivots else ""
+1187        joins = self.expressions(expression, key="joins", sep="")
+1188        laterals = self.expressions(expression, key="laterals", sep="")
+1189        system_time = expression.args.get("system_time")
+1190        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
+1191
+1192        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
+1193
+1194    def tablesample_sql(
+1195        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
+1196    ) -> str:
+1197        if self.ALIAS_POST_TABLESAMPLE and expression.this.alias:
+1198            table = expression.this.copy()
+1199            table.set("alias", None)
+1200            this = self.sql(table)
+1201            alias = f"{sep}{self.sql(expression.this, 'alias')}"
+1202        else:
+1203            this = self.sql(expression, "this")
+1204            alias = ""
+1205        method = self.sql(expression, "method")
+1206        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
+1207        numerator = self.sql(expression, "bucket_numerator")
+1208        denominator = self.sql(expression, "bucket_denominator")
+1209        field = self.sql(expression, "bucket_field")
+1210        field = f" ON {field}" if field else ""
+1211        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
+1212        percent = self.sql(expression, "percent")
+1213        percent = f"{percent} PERCENT" if percent else ""
+1214        rows = self.sql(expression, "rows")
+1215        rows = f"{rows} ROWS" if rows else ""
+1216        size = self.sql(expression, "size")
+1217        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
+1218            size = f"{size} PERCENT"
+1219        seed = self.sql(expression, "seed")
+1220        seed = f" {seed_prefix} ({seed})" if seed else ""
+1221        kind = expression.args.get("kind", "TABLESAMPLE")
+1222        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
+1223
+1224    def pivot_sql(self, expression: exp.Pivot) -> str:
+1225        expressions = self.expressions(expression, flat=True)
+1226
+1227        if expression.this:
+1228            this = self.sql(expression, "this")
+1229            on = f"{self.seg('ON')} {expressions}"
+1230            using = self.expressions(expression, key="using", flat=True)
+1231            using = f"{self.seg('USING')} {using}" if using else ""
+1232            group = self.sql(expression, "group")
+1233            return f"PIVOT {this}{on}{using}{group}"
+1234
+1235        alias = self.sql(expression, "alias")
+1236        alias = f" AS {alias}" if alias else ""
+1237        unpivot = expression.args.get("unpivot")
+1238        direction = "UNPIVOT" if unpivot else "PIVOT"
+1239        field = self.sql(expression, "field")
+1240        return f"{direction}({expressions} FOR {field}){alias}"
+1241
+1242    def tuple_sql(self, expression: exp.Tuple) -> str:
+1243        return f"({self.expressions(expression, flat=True)})"
 1244
-1245    def values_sql(self, expression: exp.Values) -> str:
-1246        args = self.expressions(expression)
-1247        alias = self.sql(expression, "alias")
-1248        values = f"VALUES{self.seg('')}{args}"
-1249        values = (
-1250            f"({values})"
-1251            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
-1252            else values
-1253        )
-1254        return f"{values} AS {alias}" if alias else values
-1255
-1256    def var_sql(self, expression: exp.Var) -> str:
-1257        return self.sql(expression, "this")
-1258
-1259    def into_sql(self, expression: exp.Into) -> str:
-1260        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
-1261        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
-1262        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
-1263
-1264    def from_sql(self, expression: exp.From) -> str:
-1265        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
-1266
-1267    def group_sql(self, expression: exp.Group) -> str:
-1268        group_by = self.op_expressions("GROUP BY", expression)
-1269        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
-1270        grouping_sets = (
-1271            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
-1272        )
-1273
-1274        cube = expression.args.get("cube", [])
-1275        if seq_get(cube, 0) is True:
-1276            return f"{group_by}{self.seg('WITH CUBE')}"
-1277        else:
-1278            cube_sql = self.expressions(expression, key="cube", indent=False)
-1279            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
-1280
-1281        rollup = expression.args.get("rollup", [])
-1282        if seq_get(rollup, 0) is True:
-1283            return f"{group_by}{self.seg('WITH ROLLUP')}"
-1284        else:
-1285            rollup_sql = self.expressions(expression, key="rollup", indent=False)
-1286            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
-1287
-1288        groupings = csv(
-1289            grouping_sets,
-1290            cube_sql,
-1291            rollup_sql,
-1292            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
-1293            sep=self.GROUPINGS_SEP,
-1294        )
-1295
-1296        if expression.args.get("expressions") and groupings:
-1297            group_by = f"{group_by}{self.GROUPINGS_SEP}"
-1298
-1299        return f"{group_by}{groupings}"
-1300
-1301    def having_sql(self, expression: exp.Having) -> str:
-1302        this = self.indent(self.sql(expression, "this"))
-1303        return f"{self.seg('HAVING')}{self.sep()}{this}"
+1245    def update_sql(self, expression: exp.Update) -> str:
+1246        this = self.sql(expression, "this")
+1247        set_sql = self.expressions(expression, flat=True)
+1248        from_sql = self.sql(expression, "from")
+1249        where_sql = self.sql(expression, "where")
+1250        returning = self.sql(expression, "returning")
+1251        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
+1252        return self.prepend_ctes(expression, sql)
+1253
+1254    def values_sql(self, expression: exp.Values) -> str:
+1255        args = self.expressions(expression)
+1256        alias = self.sql(expression, "alias")
+1257        values = f"VALUES{self.seg('')}{args}"
+1258        values = (
+1259            f"({values})"
+1260            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
+1261            else values
+1262        )
+1263        return f"{values} AS {alias}" if alias else values
+1264
+1265    def var_sql(self, expression: exp.Var) -> str:
+1266        return self.sql(expression, "this")
+1267
+1268    def into_sql(self, expression: exp.Into) -> str:
+1269        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+1270        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
+1271        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
+1272
+1273    def from_sql(self, expression: exp.From) -> str:
+1274        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
+1275
+1276    def group_sql(self, expression: exp.Group) -> str:
+1277        group_by = self.op_expressions("GROUP BY", expression)
+1278        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
+1279        grouping_sets = (
+1280            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
+1281        )
+1282
+1283        cube = expression.args.get("cube", [])
+1284        if seq_get(cube, 0) is True:
+1285            return f"{group_by}{self.seg('WITH CUBE')}"
+1286        else:
+1287            cube_sql = self.expressions(expression, key="cube", indent=False)
+1288            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
+1289
+1290        rollup = expression.args.get("rollup", [])
+1291        if seq_get(rollup, 0) is True:
+1292            return f"{group_by}{self.seg('WITH ROLLUP')}"
+1293        else:
+1294            rollup_sql = self.expressions(expression, key="rollup", indent=False)
+1295            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
+1296
+1297        groupings = csv(
+1298            grouping_sets,
+1299            cube_sql,
+1300            rollup_sql,
+1301            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
+1302            sep=self.GROUPINGS_SEP,
+1303        )
 1304
-1305    def join_sql(self, expression: exp.Join) -> str:
-1306        op_sql = " ".join(
-1307            op
-1308            for op in (
-1309                expression.method,
-1310                "GLOBAL" if expression.args.get("global") else None,
-1311                expression.side,
-1312                expression.kind,
-1313                expression.hint if self.JOIN_HINTS else None,
-1314            )
-1315            if op
-1316        )
-1317        on_sql = self.sql(expression, "on")
-1318        using = expression.args.get("using")
-1319
-1320        if not on_sql and using:
-1321            on_sql = csv(*(self.sql(column) for column in using))
-1322
-1323        this_sql = self.sql(expression, "this")
-1324
-1325        if on_sql:
-1326            on_sql = self.indent(on_sql, skip_first=True)
-1327            space = self.seg(" " * self.pad) if self.pretty else " "
-1328            if using:
-1329                on_sql = f"{space}USING ({on_sql})"
-1330            else:
-1331                on_sql = f"{space}ON {on_sql}"
-1332        elif not op_sql:
-1333            return f", {this_sql}"
-1334
-1335        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
-1336        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
-1337
-1338    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
-1339        args = self.expressions(expression, flat=True)
-1340        args = f"({args})" if len(args.split(",")) > 1 else args
-1341        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
-1342
-1343    def lateral_sql(self, expression: exp.Lateral) -> str:
-1344        this = self.sql(expression, "this")
-1345
-1346        if isinstance(expression.this, exp.Subquery):
-1347            return f"LATERAL {this}"
-1348
-1349        if expression.args.get("view"):
-1350            alias = expression.args["alias"]
-1351            columns = self.expressions(alias, key="columns", flat=True)
-1352            table = f" {alias.name}" if alias.name else ""
-1353            columns = f" AS {columns}" if columns else ""
-1354            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
-1355            return f"{op_sql}{self.sep()}{this}{table}{columns}"
-1356
-1357        alias = self.sql(expression, "alias")
-1358        alias = f" AS {alias}" if alias else ""
-1359        return f"LATERAL {this}{alias}"
-1360
-1361    def limit_sql(self, expression: exp.Limit) -> str:
-1362        this = self.sql(expression, "this")
-1363        args = ", ".join(
-1364            sql
-1365            for sql in (
-1366                self.sql(expression, "offset"),
-1367                self.sql(expression, "expression"),
-1368            )
-1369            if sql
-1370        )
-1371        return f"{this}{self.seg('LIMIT')} {args}"
-1372
-1373    def offset_sql(self, expression: exp.Offset) -> str:
-1374        this = self.sql(expression, "this")
-1375        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
-1376
-1377    def setitem_sql(self, expression: exp.SetItem) -> str:
-1378        kind = self.sql(expression, "kind")
-1379        kind = f"{kind} " if kind else ""
-1380        this = self.sql(expression, "this")
-1381        expressions = self.expressions(expression)
-1382        collate = self.sql(expression, "collate")
-1383        collate = f" COLLATE {collate}" if collate else ""
-1384        global_ = "GLOBAL " if expression.args.get("global") else ""
-1385        return f"{global_}{kind}{this}{expressions}{collate}"
-1386
-1387    def set_sql(self, expression: exp.Set) -> str:
-1388        expressions = (
-1389            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
-1390        )
-1391        return f"SET{expressions}"
-1392
-1393    def pragma_sql(self, expression: exp.Pragma) -> str:
-1394        return f"PRAGMA {self.sql(expression, 'this')}"
+1305        if expression.args.get("expressions") and groupings:
+1306            group_by = f"{group_by}{self.GROUPINGS_SEP}"
+1307
+1308        return f"{group_by}{groupings}"
+1309
+1310    def having_sql(self, expression: exp.Having) -> str:
+1311        this = self.indent(self.sql(expression, "this"))
+1312        return f"{self.seg('HAVING')}{self.sep()}{this}"
+1313
+1314    def join_sql(self, expression: exp.Join) -> str:
+1315        op_sql = " ".join(
+1316            op
+1317            for op in (
+1318                expression.method,
+1319                "GLOBAL" if expression.args.get("global") else None,
+1320                expression.side,
+1321                expression.kind,
+1322                expression.hint if self.JOIN_HINTS else None,
+1323            )
+1324            if op
+1325        )
+1326        on_sql = self.sql(expression, "on")
+1327        using = expression.args.get("using")
+1328
+1329        if not on_sql and using:
+1330            on_sql = csv(*(self.sql(column) for column in using))
+1331
+1332        this_sql = self.sql(expression, "this")
+1333
+1334        if on_sql:
+1335            on_sql = self.indent(on_sql, skip_first=True)
+1336            space = self.seg(" " * self.pad) if self.pretty else " "
+1337            if using:
+1338                on_sql = f"{space}USING ({on_sql})"
+1339            else:
+1340                on_sql = f"{space}ON {on_sql}"
+1341        elif not op_sql:
+1342            return f", {this_sql}"
+1343
+1344        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
+1345        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
+1346
+1347    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
+1348        args = self.expressions(expression, flat=True)
+1349        args = f"({args})" if len(args.split(",")) > 1 else args
+1350        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
+1351
+1352    def lateral_sql(self, expression: exp.Lateral) -> str:
+1353        this = self.sql(expression, "this")
+1354
+1355        if isinstance(expression.this, exp.Subquery):
+1356            return f"LATERAL {this}"
+1357
+1358        if expression.args.get("view"):
+1359            alias = expression.args["alias"]
+1360            columns = self.expressions(alias, key="columns", flat=True)
+1361            table = f" {alias.name}" if alias.name else ""
+1362            columns = f" AS {columns}" if columns else ""
+1363            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
+1364            return f"{op_sql}{self.sep()}{this}{table}{columns}"
+1365
+1366        alias = self.sql(expression, "alias")
+1367        alias = f" AS {alias}" if alias else ""
+1368        return f"LATERAL {this}{alias}"
+1369
+1370    def limit_sql(self, expression: exp.Limit) -> str:
+1371        this = self.sql(expression, "this")
+1372        args = ", ".join(
+1373            sql
+1374            for sql in (
+1375                self.sql(expression, "offset"),
+1376                self.sql(expression, "expression"),
+1377            )
+1378            if sql
+1379        )
+1380        return f"{this}{self.seg('LIMIT')} {args}"
+1381
+1382    def offset_sql(self, expression: exp.Offset) -> str:
+1383        this = self.sql(expression, "this")
+1384        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
+1385
+1386    def setitem_sql(self, expression: exp.SetItem) -> str:
+1387        kind = self.sql(expression, "kind")
+1388        kind = f"{kind} " if kind else ""
+1389        this = self.sql(expression, "this")
+1390        expressions = self.expressions(expression)
+1391        collate = self.sql(expression, "collate")
+1392        collate = f" COLLATE {collate}" if collate else ""
+1393        global_ = "GLOBAL " if expression.args.get("global") else ""
+1394        return f"{global_}{kind}{this}{expressions}{collate}"
 1395
-1396    def lock_sql(self, expression: exp.Lock) -> str:
-1397        if not self.LOCKING_READS_SUPPORTED:
-1398            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
-1399            return ""
-1400
-1401        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
-1402        expressions = self.expressions(expression, flat=True)
-1403        expressions = f" OF {expressions}" if expressions else ""
-1404        wait = expression.args.get("wait")
-1405
-1406        if wait is not None:
-1407            if isinstance(wait, exp.Literal):
-1408                wait = f" WAIT {self.sql(wait)}"
-1409            else:
-1410                wait = " NOWAIT" if wait else " SKIP LOCKED"
-1411
-1412        return f"{lock_type}{expressions}{wait or ''}"
-1413
-1414    def literal_sql(self, expression: exp.Literal) -> str:
-1415        text = expression.this or ""
-1416        if expression.is_string:
-1417            text = text.replace(self.QUOTE_END, self._escaped_quote_end)
-1418            if self.pretty:
-1419                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
-1420            text = f"{self.QUOTE_START}{text}{self.QUOTE_END}"
-1421        return text
+1396    def set_sql(self, expression: exp.Set) -> str:
+1397        expressions = (
+1398            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
+1399        )
+1400        return f"SET{expressions}"
+1401
+1402    def pragma_sql(self, expression: exp.Pragma) -> str:
+1403        return f"PRAGMA {self.sql(expression, 'this')}"
+1404
+1405    def lock_sql(self, expression: exp.Lock) -> str:
+1406        if not self.LOCKING_READS_SUPPORTED:
+1407            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
+1408            return ""
+1409
+1410        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
+1411        expressions = self.expressions(expression, flat=True)
+1412        expressions = f" OF {expressions}" if expressions else ""
+1413        wait = expression.args.get("wait")
+1414
+1415        if wait is not None:
+1416            if isinstance(wait, exp.Literal):
+1417                wait = f" WAIT {self.sql(wait)}"
+1418            else:
+1419                wait = " NOWAIT" if wait else " SKIP LOCKED"
+1420
+1421        return f"{lock_type}{expressions}{wait or ''}"
 1422
-1423    def loaddata_sql(self, expression: exp.LoadData) -> str:
-1424        local = " LOCAL" if expression.args.get("local") else ""
-1425        inpath = f" INPATH {self.sql(expression, 'inpath')}"
-1426        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
-1427        this = f" INTO TABLE {self.sql(expression, 'this')}"
-1428        partition = self.sql(expression, "partition")
-1429        partition = f" {partition}" if partition else ""
-1430        input_format = self.sql(expression, "input_format")
-1431        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
-1432        serde = self.sql(expression, "serde")
-1433        serde = f" SERDE {serde}" if serde else ""
-1434        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
-1435
-1436    def null_sql(self, *_) -> str:
-1437        return "NULL"
-1438
-1439    def boolean_sql(self, expression: exp.Boolean) -> str:
-1440        return "TRUE" if expression.this else "FALSE"
-1441
-1442    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
-1443        this = self.sql(expression, "this")
-1444        this = f"{this} " if this else this
-1445        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
-1446
-1447    def cluster_sql(self, expression: exp.Cluster) -> str:
-1448        return self.op_expressions("CLUSTER BY", expression)
-1449
-1450    def distribute_sql(self, expression: exp.Distribute) -> str:
-1451        return self.op_expressions("DISTRIBUTE BY", expression)
-1452
-1453    def sort_sql(self, expression: exp.Sort) -> str:
-1454        return self.op_expressions("SORT BY", expression)
-1455
-1456    def ordered_sql(self, expression: exp.Ordered) -> str:
-1457        desc = expression.args.get("desc")
-1458        asc = not desc
-1459
-1460        nulls_first = expression.args.get("nulls_first")
-1461        nulls_last = not nulls_first
-1462        nulls_are_large = self.NULL_ORDERING == "nulls_are_large"
-1463        nulls_are_small = self.NULL_ORDERING == "nulls_are_small"
-1464        nulls_are_last = self.NULL_ORDERING == "nulls_are_last"
-1465
-1466        sort_order = " DESC" if desc else ""
-1467        nulls_sort_change = ""
-1468        if nulls_first and (
-1469            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
-1470        ):
-1471            nulls_sort_change = " NULLS FIRST"
-1472        elif (
-1473            nulls_last
-1474            and ((asc and nulls_are_small) or (desc and nulls_are_large))
-1475            and not nulls_are_last
-1476        ):
-1477            nulls_sort_change = " NULLS LAST"
-1478
-1479        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
-1480            self.unsupported(
-1481                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
-1482            )
-1483            nulls_sort_change = ""
-1484
-1485        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
-1486
-1487    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
-1488        partition = self.partition_by_sql(expression)
-1489        order = self.sql(expression, "order")
-1490        measures = self.expressions(expression, key="measures")
-1491        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
-1492        rows = self.sql(expression, "rows")
-1493        rows = self.seg(rows) if rows else ""
-1494        after = self.sql(expression, "after")
-1495        after = self.seg(after) if after else ""
-1496        pattern = self.sql(expression, "pattern")
-1497        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
-1498        definition_sqls = [
-1499            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
-1500            for definition in expression.args.get("define", [])
-1501        ]
-1502        definitions = self.expressions(sqls=definition_sqls)
-1503        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
-1504        body = "".join(
-1505            (
-1506                partition,
-1507                order,
-1508                measures,
-1509                rows,
-1510                after,
-1511                pattern,
-1512                define,
-1513            )
-1514        )
-1515        alias = self.sql(expression, "alias")
-1516        alias = f" {alias}" if alias else ""
-1517        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
-1518
-1519    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
-1520        limit: t.Optional[exp.Fetch | exp.Limit] = expression.args.get("limit")
-1521
-1522        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
-1523            limit = exp.Limit(expression=limit.args.get("count"))
-1524        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
-1525            limit = exp.Fetch(direction="FIRST", count=limit.expression)
-1526
-1527        fetch = isinstance(limit, exp.Fetch)
-1528
-1529        return csv(
-1530            *sqls,
-1531            *[self.sql(join) for join in expression.args.get("joins") or []],
-1532            self.sql(expression, "match"),
-1533            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
-1534            self.sql(expression, "where"),
-1535            self.sql(expression, "group"),
-1536            self.sql(expression, "having"),
-1537            *self.after_having_modifiers(expression),
-1538            self.sql(expression, "order"),
-1539            *self.offset_limit_modifiers(expression, fetch, limit),
-1540            *self.after_limit_modifiers(expression),
-1541            sep="",
-1542        )
-1543
-1544    def offset_limit_modifiers(
-1545        self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
-1546    ) -> t.List[str]:
-1547        return [
-1548            self.sql(expression, "offset") if fetch else self.sql(limit),
-1549            self.sql(limit) if fetch else self.sql(expression, "offset"),
-1550        ]
-1551
-1552    def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
-1553        return [
-1554            self.sql(expression, "qualify"),
-1555            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
-1556            if expression.args.get("windows")
-1557            else "",
-1558        ]
-1559
-1560    def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
-1561        locks = self.expressions(expression, key="locks", sep=" ")
-1562        locks = f" {locks}" if locks else ""
-1563        return [locks, self.sql(expression, "sample")]
-1564
-1565    def select_sql(self, expression: exp.Select) -> str:
-1566        hint = self.sql(expression, "hint")
-1567        distinct = self.sql(expression, "distinct")
-1568        distinct = f" {distinct}" if distinct else ""
-1569        kind = expression.args.get("kind")
-1570        kind = f" AS {kind}" if kind else ""
-1571        expressions = self.expressions(expression)
-1572        expressions = f"{self.sep()}{expressions}" if expressions else expressions
-1573        sql = self.query_modifiers(
-1574            expression,
-1575            f"SELECT{hint}{distinct}{kind}{expressions}",
-1576            self.sql(expression, "into", comment=False),
-1577            self.sql(expression, "from", comment=False),
-1578        )
-1579        return self.prepend_ctes(expression, sql)
-1580
-1581    def schema_sql(self, expression: exp.Schema) -> str:
-1582        this = self.sql(expression, "this")
-1583        this = f"{this} " if this else ""
-1584        sql = self.schema_columns_sql(expression)
-1585        return f"{this}{sql}"
-1586
-1587    def schema_columns_sql(self, expression: exp.Schema) -> str:
-1588        return f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
-1589
-1590    def star_sql(self, expression: exp.Star) -> str:
-1591        except_ = self.expressions(expression, key="except", flat=True)
-1592        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
-1593        replace = self.expressions(expression, key="replace", flat=True)
-1594        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
-1595        return f"*{except_}{replace}"
-1596
-1597    def parameter_sql(self, expression: exp.Parameter) -> str:
-1598        this = self.sql(expression, "this")
-1599        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
-1600        return f"{self.PARAMETER_TOKEN}{this}"
-1601
-1602    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
-1603        this = self.sql(expression, "this")
-1604        kind = expression.text("kind")
-1605        if kind:
-1606            kind = f"{kind}."
-1607        return f"@@{kind}{this}"
-1608
-1609    def placeholder_sql(self, expression: exp.Placeholder) -> str:
-1610        return f":{expression.name}" if expression.name else "?"
-1611
-1612    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
-1613        alias = self.sql(expression, "alias")
-1614        alias = f"{sep}{alias}" if alias else ""
-1615
-1616        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1617        pivots = f" {pivots}" if pivots else ""
-1618
-1619        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
-1620        return self.prepend_ctes(expression, sql)
-1621
-1622    def qualify_sql(self, expression: exp.Qualify) -> str:
-1623        this = self.indent(self.sql(expression, "this"))
-1624        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
-1625
-1626    def union_sql(self, expression: exp.Union) -> str:
-1627        return self.prepend_ctes(
-1628            expression,
-1629            self.set_operation(expression, self.union_op(expression)),
-1630        )
-1631
-1632    def union_op(self, expression: exp.Union) -> str:
-1633        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
-1634        kind = kind if expression.args.get("distinct") else " ALL"
-1635        return f"UNION{kind}"
-1636
-1637    def unnest_sql(self, expression: exp.Unnest) -> str:
-1638        args = self.expressions(expression, flat=True)
-1639        alias = expression.args.get("alias")
-1640        if alias and self.UNNEST_COLUMN_ONLY:
-1641            columns = alias.columns
-1642            alias = self.sql(columns[0]) if columns else ""
-1643        else:
-1644            alias = self.sql(expression, "alias")
-1645        alias = f" AS {alias}" if alias else alias
-1646        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
-1647        offset = expression.args.get("offset")
-1648        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
-1649        return f"UNNEST({args}){ordinality}{alias}{offset}"
-1650
-1651    def where_sql(self, expression: exp.Where) -> str:
-1652        this = self.indent(self.sql(expression, "this"))
-1653        return f"{self.seg('WHERE')}{self.sep()}{this}"
+1423    def literal_sql(self, expression: exp.Literal) -> str:
+1424        text = expression.this or ""
+1425        if expression.is_string:
+1426            text = f"{self.QUOTE_START}{self.escape_str(text)}{self.QUOTE_END}"
+1427        return text
+1428
+1429    def escape_str(self, text: str) -> str:
+1430        text = text.replace(self.QUOTE_END, self._escaped_quote_end)
+1431        if self.pretty:
+1432            text = text.replace("\n", self.SENTINEL_LINE_BREAK)
+1433        return text
+1434
+1435    def loaddata_sql(self, expression: exp.LoadData) -> str:
+1436        local = " LOCAL" if expression.args.get("local") else ""
+1437        inpath = f" INPATH {self.sql(expression, 'inpath')}"
+1438        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
+1439        this = f" INTO TABLE {self.sql(expression, 'this')}"
+1440        partition = self.sql(expression, "partition")
+1441        partition = f" {partition}" if partition else ""
+1442        input_format = self.sql(expression, "input_format")
+1443        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
+1444        serde = self.sql(expression, "serde")
+1445        serde = f" SERDE {serde}" if serde else ""
+1446        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
+1447
+1448    def null_sql(self, *_) -> str:
+1449        return "NULL"
+1450
+1451    def boolean_sql(self, expression: exp.Boolean) -> str:
+1452        return "TRUE" if expression.this else "FALSE"
+1453
+1454    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
+1455        this = self.sql(expression, "this")
+1456        this = f"{this} " if this else this
+1457        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
+1458
+1459    def cluster_sql(self, expression: exp.Cluster) -> str:
+1460        return self.op_expressions("CLUSTER BY", expression)
+1461
+1462    def distribute_sql(self, expression: exp.Distribute) -> str:
+1463        return self.op_expressions("DISTRIBUTE BY", expression)
+1464
+1465    def sort_sql(self, expression: exp.Sort) -> str:
+1466        return self.op_expressions("SORT BY", expression)
+1467
+1468    def ordered_sql(self, expression: exp.Ordered) -> str:
+1469        desc = expression.args.get("desc")
+1470        asc = not desc
+1471
+1472        nulls_first = expression.args.get("nulls_first")
+1473        nulls_last = not nulls_first
+1474        nulls_are_large = self.NULL_ORDERING == "nulls_are_large"
+1475        nulls_are_small = self.NULL_ORDERING == "nulls_are_small"
+1476        nulls_are_last = self.NULL_ORDERING == "nulls_are_last"
+1477
+1478        sort_order = " DESC" if desc else ""
+1479        nulls_sort_change = ""
+1480        if nulls_first and (
+1481            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
+1482        ):
+1483            nulls_sort_change = " NULLS FIRST"
+1484        elif (
+1485            nulls_last
+1486            and ((asc and nulls_are_small) or (desc and nulls_are_large))
+1487            and not nulls_are_last
+1488        ):
+1489            nulls_sort_change = " NULLS LAST"
+1490
+1491        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
+1492            self.unsupported(
+1493                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
+1494            )
+1495            nulls_sort_change = ""
+1496
+1497        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
+1498
+1499    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
+1500        partition = self.partition_by_sql(expression)
+1501        order = self.sql(expression, "order")
+1502        measures = self.expressions(expression, key="measures")
+1503        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
+1504        rows = self.sql(expression, "rows")
+1505        rows = self.seg(rows) if rows else ""
+1506        after = self.sql(expression, "after")
+1507        after = self.seg(after) if after else ""
+1508        pattern = self.sql(expression, "pattern")
+1509        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
+1510        definition_sqls = [
+1511            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
+1512            for definition in expression.args.get("define", [])
+1513        ]
+1514        definitions = self.expressions(sqls=definition_sqls)
+1515        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
+1516        body = "".join(
+1517            (
+1518                partition,
+1519                order,
+1520                measures,
+1521                rows,
+1522                after,
+1523                pattern,
+1524                define,
+1525            )
+1526        )
+1527        alias = self.sql(expression, "alias")
+1528        alias = f" {alias}" if alias else ""
+1529        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
+1530
+1531    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
+1532        limit: t.Optional[exp.Fetch | exp.Limit] = expression.args.get("limit")
+1533
+1534        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
+1535            limit = exp.Limit(expression=limit.args.get("count"))
+1536        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
+1537            limit = exp.Fetch(direction="FIRST", count=limit.expression)
+1538
+1539        fetch = isinstance(limit, exp.Fetch)
+1540
+1541        return csv(
+1542            *sqls,
+1543            *[self.sql(join) for join in expression.args.get("joins") or []],
+1544            self.sql(expression, "match"),
+1545            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
+1546            self.sql(expression, "where"),
+1547            self.sql(expression, "group"),
+1548            self.sql(expression, "having"),
+1549            *self.after_having_modifiers(expression),
+1550            self.sql(expression, "order"),
+1551            *self.offset_limit_modifiers(expression, fetch, limit),
+1552            *self.after_limit_modifiers(expression),
+1553            sep="",
+1554        )
+1555
+1556    def offset_limit_modifiers(
+1557        self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
+1558    ) -> t.List[str]:
+1559        return [
+1560            self.sql(expression, "offset") if fetch else self.sql(limit),
+1561            self.sql(limit) if fetch else self.sql(expression, "offset"),
+1562        ]
+1563
+1564    def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1565        return [
+1566            self.sql(expression, "qualify"),
+1567            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
+1568            if expression.args.get("windows")
+1569            else "",
+1570        ]
+1571
+1572    def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1573        locks = self.expressions(expression, key="locks", sep=" ")
+1574        locks = f" {locks}" if locks else ""
+1575        return [locks, self.sql(expression, "sample")]
+1576
+1577    def select_sql(self, expression: exp.Select) -> str:
+1578        hint = self.sql(expression, "hint")
+1579        distinct = self.sql(expression, "distinct")
+1580        distinct = f" {distinct}" if distinct else ""
+1581        kind = self.sql(expression, "kind").upper()
+1582        expressions = self.expressions(expression)
+1583
+1584        if kind:
+1585            if kind in self.SELECT_KINDS:
+1586                kind = f" AS {kind}"
+1587            else:
+1588                if kind == "STRUCT":
+1589                    expressions = self.expressions(
+1590                        sqls=[
+1591                            self.sql(
+1592                                exp.Struct(
+1593                                    expressions=[
+1594                                        exp.column(e.output_name).eq(
+1595                                            e.this if isinstance(e, exp.Alias) else e
+1596                                        )
+1597                                        for e in expression.expressions
+1598                                    ]
+1599                                )
+1600                            )
+1601                        ]
+1602                    )
+1603                kind = ""
+1604
+1605        expressions = f"{self.sep()}{expressions}" if expressions else expressions
+1606        sql = self.query_modifiers(
+1607            expression,
+1608            f"SELECT{hint}{distinct}{kind}{expressions}",
+1609            self.sql(expression, "into", comment=False),
+1610            self.sql(expression, "from", comment=False),
+1611        )
+1612        return self.prepend_ctes(expression, sql)
+1613
+1614    def schema_sql(self, expression: exp.Schema) -> str:
+1615        this = self.sql(expression, "this")
+1616        this = f"{this} " if this else ""
+1617        sql = self.schema_columns_sql(expression)
+1618        return f"{this}{sql}"
+1619
+1620    def schema_columns_sql(self, expression: exp.Schema) -> str:
+1621        return f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
+1622
+1623    def star_sql(self, expression: exp.Star) -> str:
+1624        except_ = self.expressions(expression, key="except", flat=True)
+1625        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
+1626        replace = self.expressions(expression, key="replace", flat=True)
+1627        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
+1628        return f"*{except_}{replace}"
+1629
+1630    def parameter_sql(self, expression: exp.Parameter) -> str:
+1631        this = self.sql(expression, "this")
+1632        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
+1633        return f"{self.PARAMETER_TOKEN}{this}"
+1634
+1635    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
+1636        this = self.sql(expression, "this")
+1637        kind = expression.text("kind")
+1638        if kind:
+1639            kind = f"{kind}."
+1640        return f"@@{kind}{this}"
+1641
+1642    def placeholder_sql(self, expression: exp.Placeholder) -> str:
+1643        return f":{expression.name}" if expression.name else "?"
+1644
+1645    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
+1646        alias = self.sql(expression, "alias")
+1647        alias = f"{sep}{alias}" if alias else ""
+1648
+1649        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1650        pivots = f" {pivots}" if pivots else ""
+1651
+1652        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
+1653        return self.prepend_ctes(expression, sql)
 1654
-1655    def window_sql(self, expression: exp.Window) -> str:
-1656        this = self.sql(expression, "this")
-1657        partition = self.partition_by_sql(expression)
-1658        order = expression.args.get("order")
-1659        order = self.order_sql(order, flat=True) if order else ""
-1660        spec = self.sql(expression, "spec")
-1661        alias = self.sql(expression, "alias")
-1662        over = self.sql(expression, "over") or "OVER"
-1663
-1664        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
-1665
-1666        first = expression.args.get("first")
-1667        if first is None:
-1668            first = ""
-1669        else:
-1670            first = "FIRST" if first else "LAST"
-1671
-1672        if not partition and not order and not spec and alias:
-1673            return f"{this} {alias}"
-1674
-1675        args = " ".join(arg for arg in (alias, first, partition, order, spec) if arg)
-1676        return f"{this} ({args})"
-1677
-1678    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
-1679        partition = self.expressions(expression, key="partition_by", flat=True)
-1680        return f"PARTITION BY {partition}" if partition else ""
-1681
-1682    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
-1683        kind = self.sql(expression, "kind")
-1684        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
-1685        end = (
-1686            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
-1687            or "CURRENT ROW"
-1688        )
-1689        return f"{kind} BETWEEN {start} AND {end}"
-1690
-1691    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
-1692        this = self.sql(expression, "this")
-1693        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
-1694        return f"{this} WITHIN GROUP ({expression_sql})"
-1695
-1696    def between_sql(self, expression: exp.Between) -> str:
-1697        this = self.sql(expression, "this")
-1698        low = self.sql(expression, "low")
-1699        high = self.sql(expression, "high")
-1700        return f"{this} BETWEEN {low} AND {high}"
-1701
-1702    def bracket_sql(self, expression: exp.Bracket) -> str:
-1703        expressions = apply_index_offset(expression.this, expression.expressions, self.INDEX_OFFSET)
-1704        expressions_sql = ", ".join(self.sql(e) for e in expressions)
-1705
-1706        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
+1655    def qualify_sql(self, expression: exp.Qualify) -> str:
+1656        this = self.indent(self.sql(expression, "this"))
+1657        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
+1658
+1659    def union_sql(self, expression: exp.Union) -> str:
+1660        return self.prepend_ctes(
+1661            expression,
+1662            self.set_operation(expression, self.union_op(expression)),
+1663        )
+1664
+1665    def union_op(self, expression: exp.Union) -> str:
+1666        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
+1667        kind = kind if expression.args.get("distinct") else " ALL"
+1668        return f"UNION{kind}"
+1669
+1670    def unnest_sql(self, expression: exp.Unnest) -> str:
+1671        args = self.expressions(expression, flat=True)
+1672        alias = expression.args.get("alias")
+1673        if alias and self.UNNEST_COLUMN_ONLY:
+1674            columns = alias.columns
+1675            alias = self.sql(columns[0]) if columns else ""
+1676        else:
+1677            alias = self.sql(expression, "alias")
+1678        alias = f" AS {alias}" if alias else alias
+1679        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
+1680        offset = expression.args.get("offset")
+1681        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
+1682        return f"UNNEST({args}){ordinality}{alias}{offset}"
+1683
+1684    def where_sql(self, expression: exp.Where) -> str:
+1685        this = self.indent(self.sql(expression, "this"))
+1686        return f"{self.seg('WHERE')}{self.sep()}{this}"
+1687
+1688    def window_sql(self, expression: exp.Window) -> str:
+1689        this = self.sql(expression, "this")
+1690        partition = self.partition_by_sql(expression)
+1691        order = expression.args.get("order")
+1692        order = self.order_sql(order, flat=True) if order else ""
+1693        spec = self.sql(expression, "spec")
+1694        alias = self.sql(expression, "alias")
+1695        over = self.sql(expression, "over") or "OVER"
+1696
+1697        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
+1698
+1699        first = expression.args.get("first")
+1700        if first is None:
+1701            first = ""
+1702        else:
+1703            first = "FIRST" if first else "LAST"
+1704
+1705        if not partition and not order and not spec and alias:
+1706            return f"{this} {alias}"
 1707
-1708    def all_sql(self, expression: exp.All) -> str:
-1709        return f"ALL {self.wrap(expression)}"
+1708        args = " ".join(arg for arg in (alias, first, partition, order, spec) if arg)
+1709        return f"{this} ({args})"
 1710
-1711    def any_sql(self, expression: exp.Any) -> str:
-1712        this = self.sql(expression, "this")
-1713        if isinstance(expression.this, exp.Subqueryable):
-1714            this = self.wrap(this)
-1715        return f"ANY {this}"
-1716
-1717    def exists_sql(self, expression: exp.Exists) -> str:
-1718        return f"EXISTS{self.wrap(expression)}"
-1719
-1720    def case_sql(self, expression: exp.Case) -> str:
-1721        this = self.sql(expression, "this")
-1722        statements = [f"CASE {this}" if this else "CASE"]
+1711    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
+1712        partition = self.expressions(expression, key="partition_by", flat=True)
+1713        return f"PARTITION BY {partition}" if partition else ""
+1714
+1715    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
+1716        kind = self.sql(expression, "kind")
+1717        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
+1718        end = (
+1719            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
+1720            or "CURRENT ROW"
+1721        )
+1722        return f"{kind} BETWEEN {start} AND {end}"
 1723
-1724        for e in expression.args["ifs"]:
-1725            statements.append(f"WHEN {self.sql(e, 'this')}")
-1726            statements.append(f"THEN {self.sql(e, 'true')}")
-1727
-1728        default = self.sql(expression, "default")
-1729
-1730        if default:
-1731            statements.append(f"ELSE {default}")
-1732
-1733        statements.append("END")
+1724    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
+1725        this = self.sql(expression, "this")
+1726        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
+1727        return f"{this} WITHIN GROUP ({expression_sql})"
+1728
+1729    def between_sql(self, expression: exp.Between) -> str:
+1730        this = self.sql(expression, "this")
+1731        low = self.sql(expression, "low")
+1732        high = self.sql(expression, "high")
+1733        return f"{this} BETWEEN {low} AND {high}"
 1734
-1735        if self.pretty and self.text_width(statements) > self.max_text_width:
-1736            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
-1737
-1738        return " ".join(statements)
-1739
-1740    def constraint_sql(self, expression: exp.Constraint) -> str:
-1741        this = self.sql(expression, "this")
-1742        expressions = self.expressions(expression, flat=True)
-1743        return f"CONSTRAINT {this} {expressions}"
-1744
-1745    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
-1746        order = expression.args.get("order")
-1747        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
-1748        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
+1735    def bracket_sql(self, expression: exp.Bracket) -> str:
+1736        expressions = apply_index_offset(expression.this, expression.expressions, self.INDEX_OFFSET)
+1737        expressions_sql = ", ".join(self.sql(e) for e in expressions)
+1738
+1739        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
+1740
+1741    def all_sql(self, expression: exp.All) -> str:
+1742        return f"ALL {self.wrap(expression)}"
+1743
+1744    def any_sql(self, expression: exp.Any) -> str:
+1745        this = self.sql(expression, "this")
+1746        if isinstance(expression.this, exp.Subqueryable):
+1747            this = self.wrap(this)
+1748        return f"ANY {this}"
 1749
-1750    def extract_sql(self, expression: exp.Extract) -> str:
-1751        this = self.sql(expression, "this")
-1752        expression_sql = self.sql(expression, "expression")
-1753        return f"EXTRACT({this} FROM {expression_sql})"
-1754
-1755    def trim_sql(self, expression: exp.Trim) -> str:
-1756        trim_type = self.sql(expression, "position")
-1757
-1758        if trim_type == "LEADING":
-1759            return self.func("LTRIM", expression.this)
-1760        elif trim_type == "TRAILING":
-1761            return self.func("RTRIM", expression.this)
-1762        else:
-1763            return self.func("TRIM", expression.this, expression.expression)
-1764
-1765    def safeconcat_sql(self, expression: exp.SafeConcat) -> str:
-1766        expressions = expression.expressions
-1767        if self.STRICT_STRING_CONCAT:
-1768            expressions = (exp.cast(e, "text") for e in expressions)
-1769        return self.func("CONCAT", *expressions)
+1750    def exists_sql(self, expression: exp.Exists) -> str:
+1751        return f"EXISTS{self.wrap(expression)}"
+1752
+1753    def case_sql(self, expression: exp.Case) -> str:
+1754        this = self.sql(expression, "this")
+1755        statements = [f"CASE {this}" if this else "CASE"]
+1756
+1757        for e in expression.args["ifs"]:
+1758            statements.append(f"WHEN {self.sql(e, 'this')}")
+1759            statements.append(f"THEN {self.sql(e, 'true')}")
+1760
+1761        default = self.sql(expression, "default")
+1762
+1763        if default:
+1764            statements.append(f"ELSE {default}")
+1765
+1766        statements.append("END")
+1767
+1768        if self.pretty and self.text_width(statements) > self.max_text_width:
+1769            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
 1770
-1771    def check_sql(self, expression: exp.Check) -> str:
-1772        this = self.sql(expression, key="this")
-1773        return f"CHECK ({this})"
-1774
-1775    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
-1776        expressions = self.expressions(expression, flat=True)
-1777        reference = self.sql(expression, "reference")
-1778        reference = f" {reference}" if reference else ""
-1779        delete = self.sql(expression, "delete")
-1780        delete = f" ON DELETE {delete}" if delete else ""
-1781        update = self.sql(expression, "update")
-1782        update = f" ON UPDATE {update}" if update else ""
-1783        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
-1784
-1785    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
-1786        expressions = self.expressions(expression, flat=True)
-1787        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1788        options = f" {options}" if options else ""
-1789        return f"PRIMARY KEY ({expressions}){options}"
+1771        return " ".join(statements)
+1772
+1773    def constraint_sql(self, expression: exp.Constraint) -> str:
+1774        this = self.sql(expression, "this")
+1775        expressions = self.expressions(expression, flat=True)
+1776        return f"CONSTRAINT {this} {expressions}"
+1777
+1778    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
+1779        order = expression.args.get("order")
+1780        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
+1781        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
+1782
+1783    def extract_sql(self, expression: exp.Extract) -> str:
+1784        this = self.sql(expression, "this")
+1785        expression_sql = self.sql(expression, "expression")
+1786        return f"EXTRACT({this} FROM {expression_sql})"
+1787
+1788    def trim_sql(self, expression: exp.Trim) -> str:
+1789        trim_type = self.sql(expression, "position")
 1790
-1791    def if_sql(self, expression: exp.If) -> str:
-1792        return self.case_sql(exp.Case(ifs=[expression], default=expression.args.get("false")))
-1793
-1794    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
-1795        modifier = expression.args.get("modifier")
-1796        modifier = f" {modifier}" if modifier else ""
-1797        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
-1798
-1799    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
-1800        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
-1801
-1802    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
-1803        null_handling = expression.args.get("null_handling")
-1804        null_handling = f" {null_handling}" if null_handling else ""
-1805        unique_keys = expression.args.get("unique_keys")
-1806        if unique_keys is not None:
-1807            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
-1808        else:
-1809            unique_keys = ""
-1810        return_type = self.sql(expression, "return_type")
-1811        return_type = f" RETURNING {return_type}" if return_type else ""
-1812        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
-1813        encoding = self.sql(expression, "encoding")
-1814        encoding = f" ENCODING {encoding}" if encoding else ""
-1815        return self.func(
-1816            "JSON_OBJECT",
-1817            *expression.expressions,
-1818            suffix=f"{null_handling}{unique_keys}{return_type}{format_json}{encoding})",
-1819        )
-1820
-1821    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
-1822        this = self.sql(expression, "this")
-1823        kind = self.sql(expression, "kind")
-1824        path = self.sql(expression, "path")
-1825        path = f" {path}" if path else ""
-1826        as_json = " AS JSON" if expression.args.get("as_json") else ""
-1827        return f"{this} {kind}{path}{as_json}"
-1828
-1829    def openjson_sql(self, expression: exp.OpenJSON) -> str:
-1830        this = self.sql(expression, "this")
-1831        path = self.sql(expression, "path")
-1832        path = f", {path}" if path else ""
-1833        expressions = self.expressions(expression)
-1834        with_ = (
-1835            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
-1836            if expressions
-1837            else ""
-1838        )
-1839        return f"OPENJSON({this}{path}){with_}"
-1840
-1841    def in_sql(self, expression: exp.In) -> str:
-1842        query = expression.args.get("query")
-1843        unnest = expression.args.get("unnest")
-1844        field = expression.args.get("field")
-1845        is_global = " GLOBAL" if expression.args.get("is_global") else ""
-1846
-1847        if query:
-1848            in_sql = self.wrap(query)
-1849        elif unnest:
-1850            in_sql = self.in_unnest_op(unnest)
-1851        elif field:
-1852            in_sql = self.sql(field)
-1853        else:
-1854            in_sql = f"({self.expressions(expression, flat=True)})"
-1855
-1856        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
-1857
-1858    def in_unnest_op(self, unnest: exp.Unnest) -> str:
-1859        return f"(SELECT {self.sql(unnest)})"
-1860
-1861    def interval_sql(self, expression: exp.Interval) -> str:
-1862        unit = self.sql(expression, "unit")
-1863        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
-1864            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
-1865        unit = f" {unit}" if unit else ""
-1866
-1867        if self.SINGLE_STRING_INTERVAL:
-1868            this = expression.this.name if expression.this else ""
-1869            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
-1870
-1871        this = self.sql(expression, "this")
-1872        if this:
-1873            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
-1874            this = f" {this}" if unwrapped else f" ({this})"
-1875
-1876        return f"INTERVAL{this}{unit}"
-1877
-1878    def return_sql(self, expression: exp.Return) -> str:
-1879        return f"RETURN {self.sql(expression, 'this')}"
-1880
-1881    def reference_sql(self, expression: exp.Reference) -> str:
-1882        this = self.sql(expression, "this")
-1883        expressions = self.expressions(expression, flat=True)
-1884        expressions = f"({expressions})" if expressions else ""
-1885        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1886        options = f" {options}" if options else ""
-1887        return f"REFERENCES {this}{expressions}{options}"
+1791        if trim_type == "LEADING":
+1792            return self.func("LTRIM", expression.this)
+1793        elif trim_type == "TRAILING":
+1794            return self.func("RTRIM", expression.this)
+1795        else:
+1796            return self.func("TRIM", expression.this, expression.expression)
+1797
+1798    def safeconcat_sql(self, expression: exp.SafeConcat) -> str:
+1799        expressions = expression.expressions
+1800        if self.STRICT_STRING_CONCAT:
+1801            expressions = (exp.cast(e, "text") for e in expressions)
+1802        return self.func("CONCAT", *expressions)
+1803
+1804    def check_sql(self, expression: exp.Check) -> str:
+1805        this = self.sql(expression, key="this")
+1806        return f"CHECK ({this})"
+1807
+1808    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
+1809        expressions = self.expressions(expression, flat=True)
+1810        reference = self.sql(expression, "reference")
+1811        reference = f" {reference}" if reference else ""
+1812        delete = self.sql(expression, "delete")
+1813        delete = f" ON DELETE {delete}" if delete else ""
+1814        update = self.sql(expression, "update")
+1815        update = f" ON UPDATE {update}" if update else ""
+1816        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
+1817
+1818    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
+1819        expressions = self.expressions(expression, flat=True)
+1820        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1821        options = f" {options}" if options else ""
+1822        return f"PRIMARY KEY ({expressions}){options}"
+1823
+1824    def if_sql(self, expression: exp.If) -> str:
+1825        return self.case_sql(exp.Case(ifs=[expression], default=expression.args.get("false")))
+1826
+1827    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
+1828        modifier = expression.args.get("modifier")
+1829        modifier = f" {modifier}" if modifier else ""
+1830        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
+1831
+1832    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
+1833        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
+1834
+1835    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
+1836        null_handling = expression.args.get("null_handling")
+1837        null_handling = f" {null_handling}" if null_handling else ""
+1838        unique_keys = expression.args.get("unique_keys")
+1839        if unique_keys is not None:
+1840            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
+1841        else:
+1842            unique_keys = ""
+1843        return_type = self.sql(expression, "return_type")
+1844        return_type = f" RETURNING {return_type}" if return_type else ""
+1845        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
+1846        encoding = self.sql(expression, "encoding")
+1847        encoding = f" ENCODING {encoding}" if encoding else ""
+1848        return self.func(
+1849            "JSON_OBJECT",
+1850            *expression.expressions,
+1851            suffix=f"{null_handling}{unique_keys}{return_type}{format_json}{encoding})",
+1852        )
+1853
+1854    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
+1855        this = self.sql(expression, "this")
+1856        kind = self.sql(expression, "kind")
+1857        path = self.sql(expression, "path")
+1858        path = f" {path}" if path else ""
+1859        as_json = " AS JSON" if expression.args.get("as_json") else ""
+1860        return f"{this} {kind}{path}{as_json}"
+1861
+1862    def openjson_sql(self, expression: exp.OpenJSON) -> str:
+1863        this = self.sql(expression, "this")
+1864        path = self.sql(expression, "path")
+1865        path = f", {path}" if path else ""
+1866        expressions = self.expressions(expression)
+1867        with_ = (
+1868            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
+1869            if expressions
+1870            else ""
+1871        )
+1872        return f"OPENJSON({this}{path}){with_}"
+1873
+1874    def in_sql(self, expression: exp.In) -> str:
+1875        query = expression.args.get("query")
+1876        unnest = expression.args.get("unnest")
+1877        field = expression.args.get("field")
+1878        is_global = " GLOBAL" if expression.args.get("is_global") else ""
+1879
+1880        if query:
+1881            in_sql = self.wrap(query)
+1882        elif unnest:
+1883            in_sql = self.in_unnest_op(unnest)
+1884        elif field:
+1885            in_sql = self.sql(field)
+1886        else:
+1887            in_sql = f"({self.expressions(expression, flat=True)})"
 1888
-1889    def anonymous_sql(self, expression: exp.Anonymous) -> str:
-1890        return self.func(expression.name, *expression.expressions)
-1891
-1892    def paren_sql(self, expression: exp.Paren) -> str:
-1893        if isinstance(expression.unnest(), exp.Select):
-1894            sql = self.wrap(expression)
-1895        else:
-1896            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
-1897            sql = f"({sql}{self.seg(')', sep='')}"
-1898
-1899        return self.prepend_ctes(expression, sql)
-1900
-1901    def neg_sql(self, expression: exp.Neg) -> str:
-1902        # This makes sure we don't convert "- - 5" to "--5", which is a comment
-1903        this_sql = self.sql(expression, "this")
-1904        sep = " " if this_sql[0] == "-" else ""
-1905        return f"-{sep}{this_sql}"
-1906
-1907    def not_sql(self, expression: exp.Not) -> str:
-1908        return f"NOT {self.sql(expression, 'this')}"
-1909
-1910    def alias_sql(self, expression: exp.Alias) -> str:
-1911        alias = self.sql(expression, "alias")
-1912        alias = f" AS {alias}" if alias else ""
-1913        return f"{self.sql(expression, 'this')}{alias}"
-1914
-1915    def aliases_sql(self, expression: exp.Aliases) -> str:
-1916        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
-1917
-1918    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
-1919        this = self.sql(expression, "this")
-1920        zone = self.sql(expression, "zone")
-1921        return f"{this} AT TIME ZONE {zone}"
-1922
-1923    def add_sql(self, expression: exp.Add) -> str:
-1924        return self.binary(expression, "+")
-1925
-1926    def and_sql(self, expression: exp.And) -> str:
-1927        return self.connector_sql(expression, "AND")
-1928
-1929    def connector_sql(self, expression: exp.Connector, op: str) -> str:
-1930        if not self.pretty:
-1931            return self.binary(expression, op)
-1932
-1933        sqls = tuple(
-1934            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
-1935            for i, e in enumerate(expression.flatten(unnest=False))
-1936        )
-1937
-1938        sep = "\n" if self.text_width(sqls) > self.max_text_width else " "
-1939        return f"{sep}{op} ".join(sqls)
-1940
-1941    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
-1942        return self.binary(expression, "&")
-1943
-1944    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
-1945        return self.binary(expression, "<<")
-1946
-1947    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
-1948        return f"~{self.sql(expression, 'this')}"
-1949
-1950    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
-1951        return self.binary(expression, "|")
-1952
-1953    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
-1954        return self.binary(expression, ">>")
+1889        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
+1890
+1891    def in_unnest_op(self, unnest: exp.Unnest) -> str:
+1892        return f"(SELECT {self.sql(unnest)})"
+1893
+1894    def interval_sql(self, expression: exp.Interval) -> str:
+1895        unit = self.sql(expression, "unit")
+1896        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
+1897            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
+1898        unit = f" {unit}" if unit else ""
+1899
+1900        if self.SINGLE_STRING_INTERVAL:
+1901            this = expression.this.name if expression.this else ""
+1902            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
+1903
+1904        this = self.sql(expression, "this")
+1905        if this:
+1906            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
+1907            this = f" {this}" if unwrapped else f" ({this})"
+1908
+1909        return f"INTERVAL{this}{unit}"
+1910
+1911    def return_sql(self, expression: exp.Return) -> str:
+1912        return f"RETURN {self.sql(expression, 'this')}"
+1913
+1914    def reference_sql(self, expression: exp.Reference) -> str:
+1915        this = self.sql(expression, "this")
+1916        expressions = self.expressions(expression, flat=True)
+1917        expressions = f"({expressions})" if expressions else ""
+1918        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1919        options = f" {options}" if options else ""
+1920        return f"REFERENCES {this}{expressions}{options}"
+1921
+1922    def anonymous_sql(self, expression: exp.Anonymous) -> str:
+1923        return self.func(expression.name, *expression.expressions)
+1924
+1925    def paren_sql(self, expression: exp.Paren) -> str:
+1926        if isinstance(expression.unnest(), exp.Select):
+1927            sql = self.wrap(expression)
+1928        else:
+1929            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
+1930            sql = f"({sql}{self.seg(')', sep='')}"
+1931
+1932        return self.prepend_ctes(expression, sql)
+1933
+1934    def neg_sql(self, expression: exp.Neg) -> str:
+1935        # This makes sure we don't convert "- - 5" to "--5", which is a comment
+1936        this_sql = self.sql(expression, "this")
+1937        sep = " " if this_sql[0] == "-" else ""
+1938        return f"-{sep}{this_sql}"
+1939
+1940    def not_sql(self, expression: exp.Not) -> str:
+1941        return f"NOT {self.sql(expression, 'this')}"
+1942
+1943    def alias_sql(self, expression: exp.Alias) -> str:
+1944        alias = self.sql(expression, "alias")
+1945        alias = f" AS {alias}" if alias else ""
+1946        return f"{self.sql(expression, 'this')}{alias}"
+1947
+1948    def aliases_sql(self, expression: exp.Aliases) -> str:
+1949        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
+1950
+1951    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
+1952        this = self.sql(expression, "this")
+1953        zone = self.sql(expression, "zone")
+1954        return f"{this} AT TIME ZONE {zone}"
 1955
-1956    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
-1957        return self.binary(expression, "^")
+1956    def add_sql(self, expression: exp.Add) -> str:
+1957        return self.binary(expression, "+")
 1958
-1959    def cast_sql(self, expression: exp.Cast) -> str:
-1960        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+1959    def and_sql(self, expression: exp.And) -> str:
+1960        return self.connector_sql(expression, "AND")
 1961
-1962    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
-1963        zone = self.sql(expression, "this")
-1964        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
+1962    def connector_sql(self, expression: exp.Connector, op: str) -> str:
+1963        if not self.pretty:
+1964            return self.binary(expression, op)
 1965
-1966    def collate_sql(self, expression: exp.Collate) -> str:
-1967        return self.binary(expression, "COLLATE")
-1968
-1969    def command_sql(self, expression: exp.Command) -> str:
-1970        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
-1971
-1972    def comment_sql(self, expression: exp.Comment) -> str:
-1973        this = self.sql(expression, "this")
-1974        kind = expression.args["kind"]
-1975        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
-1976        expression_sql = self.sql(expression, "expression")
-1977        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
-1978
-1979    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
-1980        this = self.sql(expression, "this")
-1981        delete = " DELETE" if expression.args.get("delete") else ""
-1982        recompress = self.sql(expression, "recompress")
-1983        recompress = f" RECOMPRESS {recompress}" if recompress else ""
-1984        to_disk = self.sql(expression, "to_disk")
-1985        to_disk = f" TO DISK {to_disk}" if to_disk else ""
-1986        to_volume = self.sql(expression, "to_volume")
-1987        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
-1988        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
-1989
-1990    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
-1991        where = self.sql(expression, "where")
-1992        group = self.sql(expression, "group")
-1993        aggregates = self.expressions(expression, key="aggregates")
-1994        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
-1995
-1996        if not (where or group or aggregates) and len(expression.expressions) == 1:
-1997            return f"TTL {self.expressions(expression, flat=True)}"
+1966        sqls = tuple(
+1967            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
+1968            for i, e in enumerate(expression.flatten(unnest=False))
+1969        )
+1970
+1971        sep = "\n" if self.text_width(sqls) > self.max_text_width else " "
+1972        return f"{sep}{op} ".join(sqls)
+1973
+1974    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
+1975        return self.binary(expression, "&")
+1976
+1977    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
+1978        return self.binary(expression, "<<")
+1979
+1980    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
+1981        return f"~{self.sql(expression, 'this')}"
+1982
+1983    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
+1984        return self.binary(expression, "|")
+1985
+1986    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
+1987        return self.binary(expression, ">>")
+1988
+1989    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
+1990        return self.binary(expression, "^")
+1991
+1992    def cast_sql(self, expression: exp.Cast) -> str:
+1993        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+1994
+1995    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
+1996        zone = self.sql(expression, "this")
+1997        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
 1998
-1999        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
-2000
-2001    def transaction_sql(self, expression: exp.Transaction) -> str:
-2002        return "BEGIN"
-2003
-2004    def commit_sql(self, expression: exp.Commit) -> str:
-2005        chain = expression.args.get("chain")
-2006        if chain is not None:
-2007            chain = " AND CHAIN" if chain else " AND NO CHAIN"
-2008
-2009        return f"COMMIT{chain or ''}"
-2010
-2011    def rollback_sql(self, expression: exp.Rollback) -> str:
-2012        savepoint = expression.args.get("savepoint")
-2013        savepoint = f" TO {savepoint}" if savepoint else ""
-2014        return f"ROLLBACK{savepoint}"
-2015
-2016    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
-2017        this = self.sql(expression, "this")
-2018
-2019        dtype = self.sql(expression, "dtype")
-2020        if dtype:
-2021            collate = self.sql(expression, "collate")
-2022            collate = f" COLLATE {collate}" if collate else ""
-2023            using = self.sql(expression, "using")
-2024            using = f" USING {using}" if using else ""
-2025            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
-2026
-2027        default = self.sql(expression, "default")
-2028        if default:
-2029            return f"ALTER COLUMN {this} SET DEFAULT {default}"
-2030
-2031        if not expression.args.get("drop"):
-2032            self.unsupported("Unsupported ALTER COLUMN syntax")
+1999    def collate_sql(self, expression: exp.Collate) -> str:
+2000        return self.binary(expression, "COLLATE")
+2001
+2002    def command_sql(self, expression: exp.Command) -> str:
+2003        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
+2004
+2005    def comment_sql(self, expression: exp.Comment) -> str:
+2006        this = self.sql(expression, "this")
+2007        kind = expression.args["kind"]
+2008        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+2009        expression_sql = self.sql(expression, "expression")
+2010        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
+2011
+2012    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
+2013        this = self.sql(expression, "this")
+2014        delete = " DELETE" if expression.args.get("delete") else ""
+2015        recompress = self.sql(expression, "recompress")
+2016        recompress = f" RECOMPRESS {recompress}" if recompress else ""
+2017        to_disk = self.sql(expression, "to_disk")
+2018        to_disk = f" TO DISK {to_disk}" if to_disk else ""
+2019        to_volume = self.sql(expression, "to_volume")
+2020        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
+2021        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
+2022
+2023    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
+2024        where = self.sql(expression, "where")
+2025        group = self.sql(expression, "group")
+2026        aggregates = self.expressions(expression, key="aggregates")
+2027        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
+2028
+2029        if not (where or group or aggregates) and len(expression.expressions) == 1:
+2030            return f"TTL {self.expressions(expression, flat=True)}"
+2031
+2032        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
 2033
-2034        return f"ALTER COLUMN {this} DROP DEFAULT"
-2035
-2036    def renametable_sql(self, expression: exp.RenameTable) -> str:
-2037        if not self.RENAME_TABLE_WITH_DB:
-2038            # Remove db from tables
-2039            expression = expression.transform(
-2040                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
-2041            )
-2042        this = self.sql(expression, "this")
-2043        return f"RENAME TO {this}"
-2044
-2045    def altertable_sql(self, expression: exp.AlterTable) -> str:
-2046        actions = expression.args["actions"]
-2047
-2048        if isinstance(actions[0], exp.ColumnDef):
-2049            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
-2050        elif isinstance(actions[0], exp.Schema):
-2051            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
-2052        elif isinstance(actions[0], exp.Delete):
-2053            actions = self.expressions(expression, key="actions", flat=True)
-2054        else:
-2055            actions = self.expressions(expression, key="actions")
-2056
-2057        exists = " IF EXISTS" if expression.args.get("exists") else ""
-2058        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
+2034    def transaction_sql(self, expression: exp.Transaction) -> str:
+2035        return "BEGIN"
+2036
+2037    def commit_sql(self, expression: exp.Commit) -> str:
+2038        chain = expression.args.get("chain")
+2039        if chain is not None:
+2040            chain = " AND CHAIN" if chain else " AND NO CHAIN"
+2041
+2042        return f"COMMIT{chain or ''}"
+2043
+2044    def rollback_sql(self, expression: exp.Rollback) -> str:
+2045        savepoint = expression.args.get("savepoint")
+2046        savepoint = f" TO {savepoint}" if savepoint else ""
+2047        return f"ROLLBACK{savepoint}"
+2048
+2049    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
+2050        this = self.sql(expression, "this")
+2051
+2052        dtype = self.sql(expression, "dtype")
+2053        if dtype:
+2054            collate = self.sql(expression, "collate")
+2055            collate = f" COLLATE {collate}" if collate else ""
+2056            using = self.sql(expression, "using")
+2057            using = f" USING {using}" if using else ""
+2058            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
 2059
-2060    def droppartition_sql(self, expression: exp.DropPartition) -> str:
-2061        expressions = self.expressions(expression)
-2062        exists = " IF EXISTS " if expression.args.get("exists") else " "
-2063        return f"DROP{exists}{expressions}"
-2064
-2065    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
-2066        this = self.sql(expression, "this")
-2067        expression_ = self.sql(expression, "expression")
-2068        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
-2069
-2070        enforced = expression.args.get("enforced")
-2071        if enforced is not None:
-2072            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
-2073
-2074        return f"{add_constraint} {expression_}"
-2075
-2076    def distinct_sql(self, expression: exp.Distinct) -> str:
-2077        this = self.expressions(expression, flat=True)
-2078        this = f" {this}" if this else ""
-2079
-2080        on = self.sql(expression, "on")
-2081        on = f" ON {on}" if on else ""
-2082        return f"DISTINCT{this}{on}"
-2083
-2084    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
-2085        return f"{self.sql(expression, 'this')} IGNORE NULLS"
-2086
-2087    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
-2088        return f"{self.sql(expression, 'this')} RESPECT NULLS"
+2060        default = self.sql(expression, "default")
+2061        if default:
+2062            return f"ALTER COLUMN {this} SET DEFAULT {default}"
+2063
+2064        if not expression.args.get("drop"):
+2065            self.unsupported("Unsupported ALTER COLUMN syntax")
+2066
+2067        return f"ALTER COLUMN {this} DROP DEFAULT"
+2068
+2069    def renametable_sql(self, expression: exp.RenameTable) -> str:
+2070        if not self.RENAME_TABLE_WITH_DB:
+2071            # Remove db from tables
+2072            expression = expression.transform(
+2073                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
+2074            )
+2075        this = self.sql(expression, "this")
+2076        return f"RENAME TO {this}"
+2077
+2078    def altertable_sql(self, expression: exp.AlterTable) -> str:
+2079        actions = expression.args["actions"]
+2080
+2081        if isinstance(actions[0], exp.ColumnDef):
+2082            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
+2083        elif isinstance(actions[0], exp.Schema):
+2084            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
+2085        elif isinstance(actions[0], exp.Delete):
+2086            actions = self.expressions(expression, key="actions", flat=True)
+2087        else:
+2088            actions = self.expressions(expression, key="actions")
 2089
-2090    def intdiv_sql(self, expression: exp.IntDiv) -> str:
-2091        return self.sql(
-2092            exp.Cast(
-2093                this=exp.Div(this=expression.this, expression=expression.expression),
-2094                to=exp.DataType(this=exp.DataType.Type.INT),
-2095            )
-2096        )
+2090        exists = " IF EXISTS" if expression.args.get("exists") else ""
+2091        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
+2092
+2093    def droppartition_sql(self, expression: exp.DropPartition) -> str:
+2094        expressions = self.expressions(expression)
+2095        exists = " IF EXISTS " if expression.args.get("exists") else " "
+2096        return f"DROP{exists}{expressions}"
 2097
-2098    def dpipe_sql(self, expression: exp.DPipe) -> str:
-2099        return self.binary(expression, "||")
-2100
-2101    def safedpipe_sql(self, expression: exp.SafeDPipe) -> str:
-2102        if self.STRICT_STRING_CONCAT:
-2103            return self.func("CONCAT", *(exp.cast(e, "text") for e in expression.flatten()))
-2104        return self.dpipe_sql(expression)
-2105
-2106    def div_sql(self, expression: exp.Div) -> str:
-2107        return self.binary(expression, "/")
+2098    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
+2099        this = self.sql(expression, "this")
+2100        expression_ = self.sql(expression, "expression")
+2101        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
+2102
+2103        enforced = expression.args.get("enforced")
+2104        if enforced is not None:
+2105            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
+2106
+2107        return f"{add_constraint} {expression_}"
 2108
-2109    def overlaps_sql(self, expression: exp.Overlaps) -> str:
-2110        return self.binary(expression, "OVERLAPS")
-2111
-2112    def distance_sql(self, expression: exp.Distance) -> str:
-2113        return self.binary(expression, "<->")
-2114
-2115    def dot_sql(self, expression: exp.Dot) -> str:
-2116        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
-2117
-2118    def eq_sql(self, expression: exp.EQ) -> str:
-2119        return self.binary(expression, "=")
-2120
-2121    def escape_sql(self, expression: exp.Escape) -> str:
-2122        return self.binary(expression, "ESCAPE")
-2123
-2124    def glob_sql(self, expression: exp.Glob) -> str:
-2125        return self.binary(expression, "GLOB")
-2126
-2127    def gt_sql(self, expression: exp.GT) -> str:
-2128        return self.binary(expression, ">")
-2129
-2130    def gte_sql(self, expression: exp.GTE) -> str:
-2131        return self.binary(expression, ">=")
-2132
-2133    def ilike_sql(self, expression: exp.ILike) -> str:
-2134        return self.binary(expression, "ILIKE")
-2135
-2136    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
-2137        return self.binary(expression, "ILIKE ANY")
+2109    def distinct_sql(self, expression: exp.Distinct) -> str:
+2110        this = self.expressions(expression, flat=True)
+2111        this = f" {this}" if this else ""
+2112
+2113        on = self.sql(expression, "on")
+2114        on = f" ON {on}" if on else ""
+2115        return f"DISTINCT{this}{on}"
+2116
+2117    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
+2118        return f"{self.sql(expression, 'this')} IGNORE NULLS"
+2119
+2120    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
+2121        return f"{self.sql(expression, 'this')} RESPECT NULLS"
+2122
+2123    def intdiv_sql(self, expression: exp.IntDiv) -> str:
+2124        return self.sql(
+2125            exp.Cast(
+2126                this=exp.Div(this=expression.this, expression=expression.expression),
+2127                to=exp.DataType(this=exp.DataType.Type.INT),
+2128            )
+2129        )
+2130
+2131    def dpipe_sql(self, expression: exp.DPipe) -> str:
+2132        return self.binary(expression, "||")
+2133
+2134    def safedpipe_sql(self, expression: exp.SafeDPipe) -> str:
+2135        if self.STRICT_STRING_CONCAT:
+2136            return self.func("CONCAT", *(exp.cast(e, "text") for e in expression.flatten()))
+2137        return self.dpipe_sql(expression)
 2138
-2139    def is_sql(self, expression: exp.Is) -> str:
-2140        if not self.IS_BOOL_ALLOWED and isinstance(expression.expression, exp.Boolean):
-2141            return self.sql(
-2142                expression.this if expression.expression.this else exp.not_(expression.this)
-2143            )
-2144        return self.binary(expression, "IS")
-2145
-2146    def like_sql(self, expression: exp.Like) -> str:
-2147        return self.binary(expression, "LIKE")
-2148
-2149    def likeany_sql(self, expression: exp.LikeAny) -> str:
-2150        return self.binary(expression, "LIKE ANY")
-2151
-2152    def similarto_sql(self, expression: exp.SimilarTo) -> str:
-2153        return self.binary(expression, "SIMILAR TO")
-2154
-2155    def lt_sql(self, expression: exp.LT) -> str:
-2156        return self.binary(expression, "<")
-2157
-2158    def lte_sql(self, expression: exp.LTE) -> str:
-2159        return self.binary(expression, "<=")
-2160
-2161    def mod_sql(self, expression: exp.Mod) -> str:
-2162        return self.binary(expression, "%")
-2163
-2164    def mul_sql(self, expression: exp.Mul) -> str:
-2165        return self.binary(expression, "*")
-2166
-2167    def neq_sql(self, expression: exp.NEQ) -> str:
-2168        return self.binary(expression, "<>")
-2169
-2170    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
-2171        return self.binary(expression, "IS NOT DISTINCT FROM")
-2172
-2173    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
-2174        return self.binary(expression, "IS DISTINCT FROM")
-2175
-2176    def or_sql(self, expression: exp.Or) -> str:
-2177        return self.connector_sql(expression, "OR")
+2139    def div_sql(self, expression: exp.Div) -> str:
+2140        return self.binary(expression, "/")
+2141
+2142    def overlaps_sql(self, expression: exp.Overlaps) -> str:
+2143        return self.binary(expression, "OVERLAPS")
+2144
+2145    def distance_sql(self, expression: exp.Distance) -> str:
+2146        return self.binary(expression, "<->")
+2147
+2148    def dot_sql(self, expression: exp.Dot) -> str:
+2149        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
+2150
+2151    def eq_sql(self, expression: exp.EQ) -> str:
+2152        return self.binary(expression, "=")
+2153
+2154    def escape_sql(self, expression: exp.Escape) -> str:
+2155        return self.binary(expression, "ESCAPE")
+2156
+2157    def glob_sql(self, expression: exp.Glob) -> str:
+2158        return self.binary(expression, "GLOB")
+2159
+2160    def gt_sql(self, expression: exp.GT) -> str:
+2161        return self.binary(expression, ">")
+2162
+2163    def gte_sql(self, expression: exp.GTE) -> str:
+2164        return self.binary(expression, ">=")
+2165
+2166    def ilike_sql(self, expression: exp.ILike) -> str:
+2167        return self.binary(expression, "ILIKE")
+2168
+2169    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
+2170        return self.binary(expression, "ILIKE ANY")
+2171
+2172    def is_sql(self, expression: exp.Is) -> str:
+2173        if not self.IS_BOOL_ALLOWED and isinstance(expression.expression, exp.Boolean):
+2174            return self.sql(
+2175                expression.this if expression.expression.this else exp.not_(expression.this)
+2176            )
+2177        return self.binary(expression, "IS")
 2178
-2179    def slice_sql(self, expression: exp.Slice) -> str:
-2180        return self.binary(expression, ":")
+2179    def like_sql(self, expression: exp.Like) -> str:
+2180        return self.binary(expression, "LIKE")
 2181
-2182    def sub_sql(self, expression: exp.Sub) -> str:
-2183        return self.binary(expression, "-")
+2182    def likeany_sql(self, expression: exp.LikeAny) -> str:
+2183        return self.binary(expression, "LIKE ANY")
 2184
-2185    def trycast_sql(self, expression: exp.TryCast) -> str:
-2186        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+2185    def similarto_sql(self, expression: exp.SimilarTo) -> str:
+2186        return self.binary(expression, "SIMILAR TO")
 2187
-2188    def use_sql(self, expression: exp.Use) -> str:
-2189        kind = self.sql(expression, "kind")
-2190        kind = f" {kind}" if kind else ""
-2191        this = self.sql(expression, "this")
-2192        this = f" {this}" if this else ""
-2193        return f"USE{kind}{this}"
-2194
-2195    def binary(self, expression: exp.Binary, op: str) -> str:
-2196        op = self.maybe_comment(op, comments=expression.comments)
-2197        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
-2198
-2199    def function_fallback_sql(self, expression: exp.Func) -> str:
-2200        args = []
-2201        for arg_value in expression.args.values():
-2202            if isinstance(arg_value, list):
-2203                for value in arg_value:
-2204                    args.append(value)
-2205            else:
-2206                args.append(arg_value)
-2207
-2208        return self.func(expression.sql_name(), *args)
-2209
-2210    def func(
-2211        self,
-2212        name: str,
-2213        *args: t.Optional[exp.Expression | str],
-2214        prefix: str = "(",
-2215        suffix: str = ")",
-2216    ) -> str:
-2217        return f"{self.normalize_func(name)}{prefix}{self.format_args(*args)}{suffix}"
-2218
-2219    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
-2220        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
-2221        if self.pretty and self.text_width(arg_sqls) > self.max_text_width:
-2222            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
-2223        return ", ".join(arg_sqls)
-2224
-2225    def text_width(self, args: t.Iterable) -> int:
-2226        return sum(len(arg) for arg in args)
+2188    def lt_sql(self, expression: exp.LT) -> str:
+2189        return self.binary(expression, "<")
+2190
+2191    def lte_sql(self, expression: exp.LTE) -> str:
+2192        return self.binary(expression, "<=")
+2193
+2194    def mod_sql(self, expression: exp.Mod) -> str:
+2195        return self.binary(expression, "%")
+2196
+2197    def mul_sql(self, expression: exp.Mul) -> str:
+2198        return self.binary(expression, "*")
+2199
+2200    def neq_sql(self, expression: exp.NEQ) -> str:
+2201        return self.binary(expression, "<>")
+2202
+2203    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
+2204        return self.binary(expression, "IS NOT DISTINCT FROM")
+2205
+2206    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
+2207        return self.binary(expression, "IS DISTINCT FROM")
+2208
+2209    def or_sql(self, expression: exp.Or) -> str:
+2210        return self.connector_sql(expression, "OR")
+2211
+2212    def slice_sql(self, expression: exp.Slice) -> str:
+2213        return self.binary(expression, ":")
+2214
+2215    def sub_sql(self, expression: exp.Sub) -> str:
+2216        return self.binary(expression, "-")
+2217
+2218    def trycast_sql(self, expression: exp.TryCast) -> str:
+2219        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+2220
+2221    def use_sql(self, expression: exp.Use) -> str:
+2222        kind = self.sql(expression, "kind")
+2223        kind = f" {kind}" if kind else ""
+2224        this = self.sql(expression, "this")
+2225        this = f" {this}" if this else ""
+2226        return f"USE{kind}{this}"
 2227
-2228    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
-2229        return format_time(
-2230            self.sql(expression, "format"), self.INVERSE_TIME_MAPPING, self.INVERSE_TIME_TRIE
-2231        )
-2232
-2233    def expressions(
-2234        self,
-2235        expression: t.Optional[exp.Expression] = None,
-2236        key: t.Optional[str] = None,
-2237        sqls: t.Optional[t.List[str]] = None,
-2238        flat: bool = False,
-2239        indent: bool = True,
-2240        sep: str = ", ",
-2241        prefix: str = "",
-2242    ) -> str:
-2243        expressions = expression.args.get(key or "expressions") if expression else sqls
-2244
-2245        if not expressions:
-2246            return ""
-2247
-2248        if flat:
-2249            return sep.join(self.sql(e) for e in expressions)
-2250
-2251        num_sqls = len(expressions)
-2252
-2253        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
-2254        pad = " " * self.pad
-2255        stripped_sep = sep.strip()
-2256
-2257        result_sqls = []
-2258        for i, e in enumerate(expressions):
-2259            sql = self.sql(e, comment=False)
-2260            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
-2261
-2262            if self.pretty:
-2263                if self.leading_comma:
-2264                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
-2265                else:
-2266                    result_sqls.append(
-2267                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
-2268                    )
-2269            else:
-2270                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
-2271
-2272        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
-2273        return self.indent(result_sql, skip_first=False) if indent else result_sql
-2274
-2275    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
-2276        flat = flat or isinstance(expression.parent, exp.Properties)
-2277        expressions_sql = self.expressions(expression, flat=flat)
-2278        if flat:
-2279            return f"{op} {expressions_sql}"
-2280        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
-2281
-2282    def naked_property(self, expression: exp.Property) -> str:
-2283        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
-2284        if not property_name:
-2285            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
-2286        return f"{property_name} {self.sql(expression, 'this')}"
-2287
-2288    def set_operation(self, expression: exp.Expression, op: str) -> str:
-2289        this = self.sql(expression, "this")
-2290        op = self.seg(op)
-2291        return self.query_modifiers(
-2292            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
-2293        )
+2228    def binary(self, expression: exp.Binary, op: str) -> str:
+2229        op = self.maybe_comment(op, comments=expression.comments)
+2230        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
+2231
+2232    def function_fallback_sql(self, expression: exp.Func) -> str:
+2233        args = []
+2234        for arg_value in expression.args.values():
+2235            if isinstance(arg_value, list):
+2236                for value in arg_value:
+2237                    args.append(value)
+2238            else:
+2239                args.append(arg_value)
+2240
+2241        return self.func(expression.sql_name(), *args)
+2242
+2243    def func(
+2244        self,
+2245        name: str,
+2246        *args: t.Optional[exp.Expression | str],
+2247        prefix: str = "(",
+2248        suffix: str = ")",
+2249    ) -> str:
+2250        return f"{self.normalize_func(name)}{prefix}{self.format_args(*args)}{suffix}"
+2251
+2252    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
+2253        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
+2254        if self.pretty and self.text_width(arg_sqls) > self.max_text_width:
+2255            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
+2256        return ", ".join(arg_sqls)
+2257
+2258    def text_width(self, args: t.Iterable) -> int:
+2259        return sum(len(arg) for arg in args)
+2260
+2261    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
+2262        return format_time(
+2263            self.sql(expression, "format"), self.INVERSE_TIME_MAPPING, self.INVERSE_TIME_TRIE
+2264        )
+2265
+2266    def expressions(
+2267        self,
+2268        expression: t.Optional[exp.Expression] = None,
+2269        key: t.Optional[str] = None,
+2270        sqls: t.Optional[t.List[str]] = None,
+2271        flat: bool = False,
+2272        indent: bool = True,
+2273        sep: str = ", ",
+2274        prefix: str = "",
+2275    ) -> str:
+2276        expressions = expression.args.get(key or "expressions") if expression else sqls
+2277
+2278        if not expressions:
+2279            return ""
+2280
+2281        if flat:
+2282            return sep.join(self.sql(e) for e in expressions)
+2283
+2284        num_sqls = len(expressions)
+2285
+2286        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
+2287        pad = " " * self.pad
+2288        stripped_sep = sep.strip()
+2289
+2290        result_sqls = []
+2291        for i, e in enumerate(expressions):
+2292            sql = self.sql(e, comment=False)
+2293            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
 2294
-2295    def tag_sql(self, expression: exp.Tag) -> str:
-2296        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
-2297
-2298    def token_sql(self, token_type: TokenType) -> str:
-2299        return self.TOKEN_MAPPING.get(token_type, token_type.name)
-2300
-2301    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
-2302        this = self.sql(expression, "this")
-2303        expressions = self.no_identify(self.expressions, expression)
-2304        expressions = (
-2305            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
-2306        )
-2307        return f"{this}{expressions}"
-2308
-2309    def joinhint_sql(self, expression: exp.JoinHint) -> str:
-2310        this = self.sql(expression, "this")
-2311        expressions = self.expressions(expression, flat=True)
-2312        return f"{this}({expressions})"
-2313
-2314    def kwarg_sql(self, expression: exp.Kwarg) -> str:
-2315        return self.binary(expression, "=>")
-2316
-2317    def when_sql(self, expression: exp.When) -> str:
-2318        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
-2319        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
-2320        condition = self.sql(expression, "condition")
-2321        condition = f" AND {condition}" if condition else ""
-2322
-2323        then_expression = expression.args.get("then")
-2324        if isinstance(then_expression, exp.Insert):
-2325            then = f"INSERT {self.sql(then_expression, 'this')}"
-2326            if "expression" in then_expression.args:
-2327                then += f" VALUES {self.sql(then_expression, 'expression')}"
-2328        elif isinstance(then_expression, exp.Update):
-2329            if isinstance(then_expression.args.get("expressions"), exp.Star):
-2330                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
-2331            else:
-2332                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
-2333        else:
-2334            then = self.sql(then_expression)
-2335        return f"WHEN {matched}{source}{condition} THEN {then}"
-2336
-2337    def merge_sql(self, expression: exp.Merge) -> str:
-2338        this = self.sql(expression, "this")
-2339        using = f"USING {self.sql(expression, 'using')}"
-2340        on = f"ON {self.sql(expression, 'on')}"
-2341        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
-2342
-2343    def tochar_sql(self, expression: exp.ToChar) -> str:
-2344        if expression.args.get("format"):
-2345            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
+2295            if self.pretty:
+2296                if self.leading_comma:
+2297                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
+2298                else:
+2299                    result_sqls.append(
+2300                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
+2301                    )
+2302            else:
+2303                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
+2304
+2305        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
+2306        return self.indent(result_sql, skip_first=False) if indent else result_sql
+2307
+2308    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
+2309        flat = flat or isinstance(expression.parent, exp.Properties)
+2310        expressions_sql = self.expressions(expression, flat=flat)
+2311        if flat:
+2312            return f"{op} {expressions_sql}"
+2313        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
+2314
+2315    def naked_property(self, expression: exp.Property) -> str:
+2316        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
+2317        if not property_name:
+2318            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
+2319        return f"{property_name} {self.sql(expression, 'this')}"
+2320
+2321    def set_operation(self, expression: exp.Expression, op: str) -> str:
+2322        this = self.sql(expression, "this")
+2323        op = self.seg(op)
+2324        return self.query_modifiers(
+2325            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
+2326        )
+2327
+2328    def tag_sql(self, expression: exp.Tag) -> str:
+2329        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
+2330
+2331    def token_sql(self, token_type: TokenType) -> str:
+2332        return self.TOKEN_MAPPING.get(token_type, token_type.name)
+2333
+2334    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
+2335        this = self.sql(expression, "this")
+2336        expressions = self.no_identify(self.expressions, expression)
+2337        expressions = (
+2338            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
+2339        )
+2340        return f"{this}{expressions}"
+2341
+2342    def joinhint_sql(self, expression: exp.JoinHint) -> str:
+2343        this = self.sql(expression, "this")
+2344        expressions = self.expressions(expression, flat=True)
+2345        return f"{this}({expressions})"
 2346
-2347        return self.sql(exp.cast(expression.this, "text"))
-2348
-2349    def dictproperty_sql(self, expression: exp.DictProperty) -> str:
-2350        this = self.sql(expression, "this")
-2351        kind = self.sql(expression, "kind")
-2352        settings_sql = self.expressions(expression, key="settings", sep=" ")
-2353        args = f"({self.sep('')}{settings_sql}{self.seg(')', sep='')}" if settings_sql else "()"
-2354        return f"{this}({kind}{args})"
+2347    def kwarg_sql(self, expression: exp.Kwarg) -> str:
+2348        return self.binary(expression, "=>")
+2349
+2350    def when_sql(self, expression: exp.When) -> str:
+2351        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
+2352        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
+2353        condition = self.sql(expression, "condition")
+2354        condition = f" AND {condition}" if condition else ""
 2355
-2356    def dictrange_sql(self, expression: exp.DictRange) -> str:
-2357        this = self.sql(expression, "this")
-2358        max = self.sql(expression, "max")
-2359        min = self.sql(expression, "min")
-2360        return f"{this}(MIN {min} MAX {max})"
-2361
-2362    def dictsubproperty_sql(self, expression: exp.DictSubProperty) -> str:
-2363        return f"{self.sql(expression, 'this')} {self.sql(expression, 'value')}"
-2364
-2365    def oncluster_sql(self, expression: exp.OnCluster) -> str:
-2366        return ""
+2356        then_expression = expression.args.get("then")
+2357        if isinstance(then_expression, exp.Insert):
+2358            then = f"INSERT {self.sql(then_expression, 'this')}"
+2359            if "expression" in then_expression.args:
+2360                then += f" VALUES {self.sql(then_expression, 'expression')}"
+2361        elif isinstance(then_expression, exp.Update):
+2362            if isinstance(then_expression.args.get("expressions"), exp.Star):
+2363                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
+2364            else:
+2365                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
+2366        else:
+2367            then = self.sql(then_expression)
+2368        return f"WHEN {matched}{source}{condition} THEN {then}"
+2369
+2370    def merge_sql(self, expression: exp.Merge) -> str:
+2371        this = self.sql(expression, "this")
+2372        using = f"USING {self.sql(expression, 'using')}"
+2373        on = f"ON {self.sql(expression, 'on')}"
+2374        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
+2375
+2376    def tochar_sql(self, expression: exp.ToChar) -> str:
+2377        if expression.args.get("format"):
+2378            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
+2379
+2380        return self.sql(exp.cast(expression.this, "text"))
+2381
+2382    def dictproperty_sql(self, expression: exp.DictProperty) -> str:
+2383        this = self.sql(expression, "this")
+2384        kind = self.sql(expression, "kind")
+2385        settings_sql = self.expressions(expression, key="settings", sep=" ")
+2386        args = f"({self.sep('')}{settings_sql}{self.seg(')', sep='')}" if settings_sql else "()"
+2387        return f"{this}({kind}{args})"
+2388
+2389    def dictrange_sql(self, expression: exp.DictRange) -> str:
+2390        this = self.sql(expression, "this")
+2391        max = self.sql(expression, "max")
+2392        min = self.sql(expression, "min")
+2393        return f"{this}(MIN {min} MAX {max})"
+2394
+2395    def dictsubproperty_sql(self, expression: exp.DictSubProperty) -> str:
+2396        return f"{self.sql(expression, 'this')} {self.sql(expression, 'value')}"
+2397
+2398    def oncluster_sql(self, expression: exp.OnCluster) -> str:
+2399        return ""
    @@ -5571,46 +5643,100 @@ Default: True - 
    303    def __init__(
-304        self,
-305        pretty: t.Optional[bool] = None,
-306        identify: str | bool = False,
-307        normalize: bool = False,
-308        pad: int = 2,
-309        indent: int = 2,
-310        normalize_functions: t.Optional[str | bool] = None,
-311        unsupported_level: ErrorLevel = ErrorLevel.WARN,
-312        max_unsupported: int = 3,
-313        leading_comma: bool = False,
-314        max_text_width: int = 80,
-315        comments: bool = True,
-316    ):
-317        import sqlglot
-318
-319        self.pretty = pretty if pretty is not None else sqlglot.pretty
-320        self.identify = identify
-321        self.normalize = normalize
-322        self.pad = pad
-323        self._indent = indent
-324        self.unsupported_level = unsupported_level
-325        self.max_unsupported = max_unsupported
-326        self.leading_comma = leading_comma
-327        self.max_text_width = max_text_width
-328        self.comments = comments
-329
-330        # This is both a Dialect property and a Generator argument, so we prioritize the latter
-331        self.normalize_functions = (
-332            self.NORMALIZE_FUNCTIONS if normalize_functions is None else normalize_functions
-333        )
-334
-335        self.unsupported_messages: t.List[str] = []
-336        self._escaped_quote_end: str = self.STRING_ESCAPE + self.QUOTE_END
-337        self._escaped_identifier_end: str = self.IDENTIFIER_ESCAPE + self.IDENTIFIER_END
-338        self._cache: t.Optional[t.Dict[int, str]] = None
-
    + 
    310    def __init__(
+311        self,
+312        pretty: t.Optional[bool] = None,
+313        identify: str | bool = False,
+314        normalize: bool = False,
+315        pad: int = 2,
+316        indent: int = 2,
+317        normalize_functions: t.Optional[str | bool] = None,
+318        unsupported_level: ErrorLevel = ErrorLevel.WARN,
+319        max_unsupported: int = 3,
+320        leading_comma: bool = False,
+321        max_text_width: int = 80,
+322        comments: bool = True,
+323    ):
+324        import sqlglot
+325
+326        self.pretty = pretty if pretty is not None else sqlglot.pretty
+327        self.identify = identify
+328        self.normalize = normalize
+329        self.pad = pad
+330        self._indent = indent
+331        self.unsupported_level = unsupported_level
+332        self.max_unsupported = max_unsupported
+333        self.leading_comma = leading_comma
+334        self.max_text_width = max_text_width
+335        self.comments = comments
+336
+337        # This is both a Dialect property and a Generator argument, so we prioritize the latter
+338        self.normalize_functions = (
+339            self.NORMALIZE_FUNCTIONS if normalize_functions is None else normalize_functions
+340        )
+341
+342        self.unsupported_messages: t.List[str] = []
+343        self._escaped_quote_end: str = self.STRING_ESCAPE + self.QUOTE_END
+344        self._escaped_identifier_end: str = self.IDENTIFIER_ESCAPE + self.IDENTIFIER_END
+345        self._cache: t.Optional[t.Dict[int, str]] = None
+
    + + + + + +
    + +
    +
    @classmethod
    + + def + can_identify(text: str, identify: str | bool = 'safe') -> bool: + + + +
    + + 
    247    @classmethod
+248    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
+249        """Checks if text can be identified given an identify option.
+250
+251        Args:
+252            text: The text to check.
+253            identify:
+254                "always" or `True`: Always returns true.
+255                "safe": True if the identifier is case-insensitive.
+256
+257        Returns:
+258            Whether or not the given text can be identified.
+259        """
+260        if identify is True or identify == "always":
+261            return True
+262
+263        if identify == "safe":
+264            return not cls.case_sensitive(text)
+265
+266        return False
+
    + + +

    Checks if text can be identified given an identify option.

    +
    Arguments:
    + +
      +
    • text: The text to check.
      • +
    • identify: "always" or True: Always returns true. +"safe": True if the identifier is case-insensitive.
      • +
    + +
    Returns:
    + +
    +

    Whether or not the given text can be identified.

    +
    +
    -
    @@ -5624,41 +5750,41 @@ Default: True
    - 
    340    def generate(
-341        self,
-342        expression: t.Optional[exp.Expression],
-343        cache: t.Optional[t.Dict[int, str]] = None,
-344    ) -> str:
-345        """
-346        Generates the SQL string corresponding to the given syntax tree.
-347
-348        Args:
-349            expression: The syntax tree.
-350            cache: An optional sql string cache. This leverages the hash of an Expression
-351                which can be slow to compute, so only use it if you set _hash on each node.
-352
-353        Returns:
-354            The SQL string corresponding to `expression`.
-355        """
-356        if cache is not None:
-357            self._cache = cache
-358
-359        self.unsupported_messages = []
-360        sql = self.sql(expression).strip()
-361        self._cache = None
-362
-363        if self.unsupported_level == ErrorLevel.IGNORE:
-364            return sql
+            
    347    def generate(
+348        self,
+349        expression: t.Optional[exp.Expression],
+350        cache: t.Optional[t.Dict[int, str]] = None,
+351    ) -> str:
+352        """
+353        Generates the SQL string corresponding to the given syntax tree.
+354
+355        Args:
+356            expression: The syntax tree.
+357            cache: An optional sql string cache. This leverages the hash of an Expression
+358                which can be slow to compute, so only use it if you set _hash on each node.
+359
+360        Returns:
+361            The SQL string corresponding to `expression`.
+362        """
+363        if cache is not None:
+364            self._cache = cache
 365
-366        if self.unsupported_level == ErrorLevel.WARN:
-367            for msg in self.unsupported_messages:
-368                logger.warning(msg)
-369        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
-370            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
-371
-372        if self.pretty:
-373            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
-374        return sql
+366        self.unsupported_messages = []
+367        sql = self.sql(expression).strip()
+368        self._cache = None
+369
+370        if self.unsupported_level == ErrorLevel.IGNORE:
+371            return sql
+372
+373        if self.unsupported_level == ErrorLevel.WARN:
+374            for msg in self.unsupported_messages:
+375                logger.warning(msg)
+376        elif self.unsupported_level == ErrorLevel.RAISE and self.unsupported_messages:
+377            raise UnsupportedError(concat_messages(self.unsupported_messages, self.max_unsupported))
+378
+379        if self.pretty:
+380            sql = sql.replace(self.SENTINEL_LINE_BREAK, "\n")
+381        return sql
 
    
 
 
@@ -5692,10 +5818,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    376    def unsupported(self, message: str) -> None:
-377        if self.unsupported_level == ErrorLevel.IMMEDIATE:
-378            raise UnsupportedError(message)
-379        self.unsupported_messages.append(message)
+            
    383    def unsupported(self, message: str) -> None:
+384        if self.unsupported_level == ErrorLevel.IMMEDIATE:
+385            raise UnsupportedError(message)
+386        self.unsupported_messages.append(message)
 
    
 
 
@@ -5713,8 +5839,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    381    def sep(self, sep: str = " ") -> str:
-382        return f"{sep.strip()}\n" if self.pretty else sep
+            
    388    def sep(self, sep: str = " ") -> str:
+389        return f"{sep.strip()}\n" if self.pretty else sep
 
    
 
 
@@ -5732,8 +5858,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    384    def seg(self, sql: str, sep: str = " ") -> str:
-385        return f"{self.sep(sep)}{sql}"
+            
    391    def seg(self, sql: str, sep: str = " ") -> str:
+392        return f"{self.sep(sep)}{sql}"
 
    
 
 
@@ -5751,10 +5877,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    387    def pad_comment(self, comment: str) -> str:
-388        comment = " " + comment if comment[0].strip() else comment
-389        comment = comment + " " if comment[-1].strip() else comment
-390        return comment
+            
    394    def pad_comment(self, comment: str) -> str:
+395        comment = " " + comment if comment[0].strip() else comment
+396        comment = comment + " " if comment[-1].strip() else comment
+397        return comment
 
    
 
 
@@ -5772,37 +5898,37 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    392    def maybe_comment(
-393        self,
-394        sql: str,
-395        expression: t.Optional[exp.Expression] = None,
-396        comments: t.Optional[t.List[str]] = None,
-397    ) -> str:
-398        comments = (
-399            ((expression and expression.comments) if comments is None else comments)  # type: ignore
-400            if self.comments
-401            else None
-402        )
-403
-404        if not comments or isinstance(expression, exp.Binary):
-405            return sql
-406
-407        sep = "\n" if self.pretty else " "
-408        comments_sql = sep.join(
-409            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
-410        )
-411
-412        if not comments_sql:
-413            return sql
-414
-415        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
-416            return (
-417                f"{self.sep()}{comments_sql}{sql}"
-418                if sql[0].isspace()
-419                else f"{comments_sql}{self.sep()}{sql}"
-420            )
+            
    399    def maybe_comment(
+400        self,
+401        sql: str,
+402        expression: t.Optional[exp.Expression] = None,
+403        comments: t.Optional[t.List[str]] = None,
+404    ) -> str:
+405        comments = (
+406            ((expression and expression.comments) if comments is None else comments)  # type: ignore
+407            if self.comments
+408            else None
+409        )
+410
+411        if not comments or isinstance(expression, exp.Binary):
+412            return sql
+413
+414        sep = "\n" if self.pretty else " "
+415        comments_sql = sep.join(
+416            f"/*{self.pad_comment(comment)}*/" for comment in comments if comment
+417        )
+418
+419        if not comments_sql:
+420            return sql
 421
-422        return f"{sql} {comments_sql}"
+422        if isinstance(expression, self.WITH_SEPARATED_COMMENTS):
+423            return (
+424                f"{self.sep()}{comments_sql}{sql}"
+425                if sql[0].isspace()
+426                else f"{comments_sql}{self.sep()}{sql}"
+427            )
+428
+429        return f"{sql} {comments_sql}"
 
    
 
 
@@ -5820,15 +5946,15 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    424    def wrap(self, expression: exp.Expression | str) -> str:
-425        this_sql = self.indent(
-426            self.sql(expression)
-427            if isinstance(expression, (exp.Select, exp.Union))
-428            else self.sql(expression, "this"),
-429            level=1,
-430            pad=0,
-431        )
-432        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
+            
    431    def wrap(self, expression: exp.Expression | str) -> str:
+432        this_sql = self.indent(
+433            self.sql(expression)
+434            if isinstance(expression, (exp.Select, exp.Union))
+435            else self.sql(expression, "this"),
+436            level=1,
+437            pad=0,
+438        )
+439        return f"({self.sep('')}{this_sql}{self.seg(')', sep='')}"
 
    
 
 
@@ -5846,12 +5972,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    434    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
-435        original = self.identify
-436        self.identify = False
-437        result = func(*args, **kwargs)
-438        self.identify = original
-439        return result
+            
    441    def no_identify(self, func: t.Callable[..., str], *args, **kwargs) -> str:
+442        original = self.identify
+443        self.identify = False
+444        result = func(*args, **kwargs)
+445        self.identify = original
+446        return result
 
    
 
 
@@ -5869,12 +5995,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    441    def normalize_func(self, name: str) -> str:
-442        if self.normalize_functions == "upper" or self.normalize_functions is True:
-443            return name.upper()
-444        if self.normalize_functions == "lower":
-445            return name.lower()
-446        return name
+            
    448    def normalize_func(self, name: str) -> str:
+449        if self.normalize_functions == "upper" or self.normalize_functions is True:
+450            return name.upper()
+451        if self.normalize_functions == "lower":
+452            return name.lower()
+453        return name
 
    
 
 
@@ -5892,26 +6018,26 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    448    def indent(
-449        self,
-450        sql: str,
-451        level: int = 0,
-452        pad: t.Optional[int] = None,
-453        skip_first: bool = False,
-454        skip_last: bool = False,
-455    ) -> str:
-456        if not self.pretty:
-457            return sql
-458
-459        pad = self.pad if pad is None else pad
-460        lines = sql.split("\n")
-461
-462        return "\n".join(
-463            line
-464            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
-465            else f"{' ' * (level * self._indent + pad)}{line}"
-466            for i, line in enumerate(lines)
-467        )
+            
    455    def indent(
+456        self,
+457        sql: str,
+458        level: int = 0,
+459        pad: t.Optional[int] = None,
+460        skip_first: bool = False,
+461        skip_last: bool = False,
+462    ) -> str:
+463        if not self.pretty:
+464            return sql
+465
+466        pad = self.pad if pad is None else pad
+467        lines = sql.split("\n")
+468
+469        return "\n".join(
+470            line
+471            if (skip_first and i == 0) or (skip_last and i == len(lines) - 1)
+472            else f"{' ' * (level * self._indent + pad)}{line}"
+473            for i, line in enumerate(lines)
+474        )
 
    
 
 
@@ -5929,52 +6055,52 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    469    def sql(
-470        self,
-471        expression: t.Optional[str | exp.Expression],
-472        key: t.Optional[str] = None,
-473        comment: bool = True,
-474    ) -> str:
-475        if not expression:
-476            return ""
-477
-478        if isinstance(expression, str):
-479            return expression
-480
-481        if key:
-482            return self.sql(expression.args.get(key))
-483
-484        if self._cache is not None:
-485            expression_id = hash(expression)
-486
-487            if expression_id in self._cache:
-488                return self._cache[expression_id]
-489
-490        transform = self.TRANSFORMS.get(expression.__class__)
-491
-492        if callable(transform):
-493            sql = transform(self, expression)
-494        elif transform:
-495            sql = transform
-496        elif isinstance(expression, exp.Expression):
-497            exp_handler_name = f"{expression.key}_sql"
+            
    476    def sql(
+477        self,
+478        expression: t.Optional[str | exp.Expression],
+479        key: t.Optional[str] = None,
+480        comment: bool = True,
+481    ) -> str:
+482        if not expression:
+483            return ""
+484
+485        if isinstance(expression, str):
+486            return expression
+487
+488        if key:
+489            return self.sql(expression.args.get(key))
+490
+491        if self._cache is not None:
+492            expression_id = hash(expression)
+493
+494            if expression_id in self._cache:
+495                return self._cache[expression_id]
+496
+497        transform = self.TRANSFORMS.get(expression.__class__)
 498
-499            if hasattr(self, exp_handler_name):
-500                sql = getattr(self, exp_handler_name)(expression)
-501            elif isinstance(expression, exp.Func):
-502                sql = self.function_fallback_sql(expression)
-503            elif isinstance(expression, exp.Property):
-504                sql = self.property_sql(expression)
-505            else:
-506                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
-507        else:
-508            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
-509
-510        sql = self.maybe_comment(sql, expression) if self.comments and comment else sql
-511
-512        if self._cache is not None:
-513            self._cache[expression_id] = sql
-514        return sql
+499        if callable(transform):
+500            sql = transform(self, expression)
+501        elif transform:
+502            sql = transform
+503        elif isinstance(expression, exp.Expression):
+504            exp_handler_name = f"{expression.key}_sql"
+505
+506            if hasattr(self, exp_handler_name):
+507                sql = getattr(self, exp_handler_name)(expression)
+508            elif isinstance(expression, exp.Func):
+509                sql = self.function_fallback_sql(expression)
+510            elif isinstance(expression, exp.Property):
+511                sql = self.property_sql(expression)
+512            else:
+513                raise ValueError(f"Unsupported expression type {expression.__class__.__name__}")
+514        else:
+515            raise ValueError(f"Expected an Expression. Received {type(expression)}: {expression}")
+516
+517        sql = self.maybe_comment(sql, expression) if self.comments and comment else sql
+518
+519        if self._cache is not None:
+520            self._cache[expression_id] = sql
+521        return sql
 
    
 
 
@@ -5992,10 +6118,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    516    def uncache_sql(self, expression: exp.Uncache) -> str:
-517        table = self.sql(expression, "this")
-518        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
-519        return f"UNCACHE TABLE{exists_sql} {table}"
+            
    523    def uncache_sql(self, expression: exp.Uncache) -> str:
+524        table = self.sql(expression, "this")
+525        exists_sql = " IF EXISTS" if expression.args.get("exists") else ""
+526        return f"UNCACHE TABLE{exists_sql} {table}"
 
    
 
 
@@ -6013,15 +6139,15 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    521    def cache_sql(self, expression: exp.Cache) -> str:
-522        lazy = " LAZY" if expression.args.get("lazy") else ""
-523        table = self.sql(expression, "this")
-524        options = expression.args.get("options")
-525        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
-526        sql = self.sql(expression, "expression")
-527        sql = f" AS{self.sep()}{sql}" if sql else ""
-528        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
-529        return self.prepend_ctes(expression, sql)
+            
    528    def cache_sql(self, expression: exp.Cache) -> str:
+529        lazy = " LAZY" if expression.args.get("lazy") else ""
+530        table = self.sql(expression, "this")
+531        options = expression.args.get("options")
+532        options = f" OPTIONS({self.sql(options[0])} = {self.sql(options[1])})" if options else ""
+533        sql = self.sql(expression, "expression")
+534        sql = f" AS{self.sep()}{sql}" if sql else ""
+535        sql = f"CACHE{lazy} TABLE {table}{options}{sql}"
+536        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -6039,11 +6165,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    531    def characterset_sql(self, expression: exp.CharacterSet) -> str:
-532        if isinstance(expression.parent, exp.Cast):
-533            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
-534        default = "DEFAULT " if expression.args.get("default") else ""
-535        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
+            
    538    def characterset_sql(self, expression: exp.CharacterSet) -> str:
+539        if isinstance(expression.parent, exp.Cast):
+540            return f"CHAR CHARACTER SET {self.sql(expression, 'this')}"
+541        default = "DEFAULT " if expression.args.get("default") else ""
+542        return f"{default}CHARACTER SET={self.sql(expression, 'this')}"
 
    
 
 
@@ -6061,17 +6187,17 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    537    def column_sql(self, expression: exp.Column) -> str:
-538        return ".".join(
-539            self.sql(part)
-540            for part in (
-541                expression.args.get("catalog"),
-542                expression.args.get("db"),
-543                expression.args.get("table"),
-544                expression.args.get("this"),
-545            )
-546            if part
-547        )
+            
    544    def column_sql(self, expression: exp.Column) -> str:
+545        return ".".join(
+546            self.sql(part)
+547            for part in (
+548                expression.args.get("catalog"),
+549                expression.args.get("db"),
+550                expression.args.get("table"),
+551                expression.args.get("this"),
+552            )
+553            if part
+554        )
 
    
 
 
@@ -6089,11 +6215,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    549    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
-550        this = self.sql(expression, "this")
-551        this = f" {this}" if this else ""
-552        position = self.sql(expression, "position")
-553        return f"{position}{this}"
+            
    556    def columnposition_sql(self, expression: exp.ColumnPosition) -> str:
+557        this = self.sql(expression, "this")
+558        this = f" {this}" if this else ""
+559        position = self.sql(expression, "position")
+560        return f"{position}{this}"
 
    
 
 
@@ -6111,17 +6237,17 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    555    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
-556        column = self.sql(expression, "this")
-557        kind = self.sql(expression, "kind")
-558        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
-559        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
-560        kind = f"{sep}{kind}" if kind else ""
-561        constraints = f" {constraints}" if constraints else ""
-562        position = self.sql(expression, "position")
-563        position = f" {position}" if position else ""
-564
-565        return f"{exists}{column}{kind}{constraints}{position}"
+            
    562    def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
+563        column = self.sql(expression, "this")
+564        kind = self.sql(expression, "kind")
+565        constraints = self.expressions(expression, key="constraints", sep=" ", flat=True)
+566        exists = "IF NOT EXISTS " if expression.args.get("exists") else ""
+567        kind = f"{sep}{kind}" if kind else ""
+568        constraints = f" {constraints}" if constraints else ""
+569        position = self.sql(expression, "position")
+570        position = f" {position}" if position else ""
+571
+572        return f"{exists}{column}{kind}{constraints}{position}"
 
    
 
 
@@ -6139,10 +6265,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    567    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
-568        this = self.sql(expression, "this")
-569        kind_sql = self.sql(expression, "kind").strip()
-570        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
+            
    574    def columnconstraint_sql(self, expression: exp.ColumnConstraint) -> str:
+575        this = self.sql(expression, "this")
+576        kind_sql = self.sql(expression, "kind").strip()
+577        return f"CONSTRAINT {this} {kind_sql}" if this else kind_sql
 
    
 
 
@@ -6160,8 +6286,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    572    def autoincrementcolumnconstraint_sql(self, _) -> str:
-573        return self.token_sql(TokenType.AUTO_INCREMENT)
+            
    579    def autoincrementcolumnconstraint_sql(self, _) -> str:
+580        return self.token_sql(TokenType.AUTO_INCREMENT)
 
    
 
 
@@ -6179,13 +6305,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    575    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
-576        if isinstance(expression.this, list):
-577            this = self.wrap(self.expressions(expression, key="this", flat=True))
-578        else:
-579            this = self.sql(expression, "this")
-580
-581        return f"COMPRESS {this}"
+            
    582    def compresscolumnconstraint_sql(self, expression: exp.CompressColumnConstraint) -> str:
+583        if isinstance(expression.this, list):
+584            this = self.wrap(self.expressions(expression, key="this", flat=True))
+585        else:
+586            this = self.sql(expression, "this")
+587
+588        return f"COMPRESS {this}"
 
    
 
 
@@ -6203,38 +6329,38 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    583    def generatedasidentitycolumnconstraint_sql(
-584        self, expression: exp.GeneratedAsIdentityColumnConstraint
-585    ) -> str:
-586        this = ""
-587        if expression.this is not None:
-588            on_null = "ON NULL " if expression.args.get("on_null") else ""
-589            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
-590
-591        start = expression.args.get("start")
-592        start = f"START WITH {start}" if start else ""
-593        increment = expression.args.get("increment")
-594        increment = f" INCREMENT BY {increment}" if increment else ""
-595        minvalue = expression.args.get("minvalue")
-596        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
-597        maxvalue = expression.args.get("maxvalue")
-598        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
-599        cycle = expression.args.get("cycle")
-600        cycle_sql = ""
-601
-602        if cycle is not None:
-603            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
-604            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
-605
-606        sequence_opts = ""
-607        if start or increment or cycle_sql:
-608            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
-609            sequence_opts = f" ({sequence_opts.strip()})"
-610
-611        expr = self.sql(expression, "expression")
-612        expr = f"({expr})" if expr else "IDENTITY"
-613
-614        return f"GENERATED{this}AS {expr}{sequence_opts}"
+            
    590    def generatedasidentitycolumnconstraint_sql(
+591        self, expression: exp.GeneratedAsIdentityColumnConstraint
+592    ) -> str:
+593        this = ""
+594        if expression.this is not None:
+595            on_null = "ON NULL " if expression.args.get("on_null") else ""
+596            this = " ALWAYS " if expression.this else f" BY DEFAULT {on_null}"
+597
+598        start = expression.args.get("start")
+599        start = f"START WITH {start}" if start else ""
+600        increment = expression.args.get("increment")
+601        increment = f" INCREMENT BY {increment}" if increment else ""
+602        minvalue = expression.args.get("minvalue")
+603        minvalue = f" MINVALUE {minvalue}" if minvalue else ""
+604        maxvalue = expression.args.get("maxvalue")
+605        maxvalue = f" MAXVALUE {maxvalue}" if maxvalue else ""
+606        cycle = expression.args.get("cycle")
+607        cycle_sql = ""
+608
+609        if cycle is not None:
+610            cycle_sql = f"{' NO' if not cycle else ''} CYCLE"
+611            cycle_sql = cycle_sql.strip() if not start and not increment else cycle_sql
+612
+613        sequence_opts = ""
+614        if start or increment or cycle_sql:
+615            sequence_opts = f"{start}{increment}{minvalue}{maxvalue}{cycle_sql}"
+616            sequence_opts = f" ({sequence_opts.strip()})"
+617
+618        expr = self.sql(expression, "expression")
+619        expr = f"({expr})" if expr else "IDENTITY"
+620
+621        return f"GENERATED{this}AS {expr}{sequence_opts}"
 
    
 
 
@@ -6252,8 +6378,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    616    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
-617        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
+            
    623    def notnullcolumnconstraint_sql(self, expression: exp.NotNullColumnConstraint) -> str:
+624        return f"{'' if expression.args.get('allow_null') else 'NOT '}NULL"
 
    
 
 
@@ -6271,11 +6397,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    619    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
-620        desc = expression.args.get("desc")
-621        if desc is not None:
-622            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
-623        return f"PRIMARY KEY"
+            
    626    def primarykeycolumnconstraint_sql(self, expression: exp.PrimaryKeyColumnConstraint) -> str:
+627        desc = expression.args.get("desc")
+628        if desc is not None:
+629            return f"PRIMARY KEY{' DESC' if desc else ' ASC'}"
+630        return f"PRIMARY KEY"
 
    
 
 
@@ -6293,10 +6419,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    625    def uniquecolumnconstraint_sql(self, expression: exp.UniqueColumnConstraint) -> str:
-626        this = self.sql(expression, "this")
-627        this = f" {this}" if this else ""
-628        return f"UNIQUE{this}"
+            
    632    def uniquecolumnconstraint_sql(self, expression: exp.UniqueColumnConstraint) -> str:
+633        this = self.sql(expression, "this")
+634        this = f" {this}" if this else ""
+635        return f"UNIQUE{this}"
 
    
 
 
@@ -6314,10 +6440,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    630    def createable_sql(
-631        self, expression: exp.Create, locations: dict[exp.Properties.Location, list[exp.Property]]
-632    ) -> str:
-633        return self.sql(expression, "this")
+            
    637    def createable_sql(
+638        self, expression: exp.Create, locations: dict[exp.Properties.Location, list[exp.Property]]
+639    ) -> str:
+640        return self.sql(expression, "this")
 
    
 
 
@@ -6335,90 +6461,90 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    635    def create_sql(self, expression: exp.Create) -> str:
-636        kind = self.sql(expression, "kind").upper()
-637        properties = expression.args.get("properties")
-638        properties_locs = self.locate_properties(properties) if properties else {}
-639
-640        this = self.createable_sql(expression, properties_locs)
-641
-642        properties_sql = ""
-643        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
-644            exp.Properties.Location.POST_WITH
-645        ):
-646            properties_sql = self.sql(
-647                exp.Properties(
-648                    expressions=[
-649                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
-650                        *properties_locs[exp.Properties.Location.POST_WITH],
-651                    ]
-652                )
-653            )
-654
-655        begin = " BEGIN" if expression.args.get("begin") else ""
-656        expression_sql = self.sql(expression, "expression")
-657        if expression_sql:
-658            expression_sql = f"{begin}{self.sep()}{expression_sql}"
-659
-660            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
-661                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
-662                    postalias_props_sql = self.properties(
-663                        exp.Properties(
-664                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
-665                        ),
-666                        wrapped=False,
-667                    )
-668                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
-669                else:
-670                    expression_sql = f" AS{expression_sql}"
-671
-672        postindex_props_sql = ""
-673        if properties_locs.get(exp.Properties.Location.POST_INDEX):
-674            postindex_props_sql = self.properties(
-675                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
-676                wrapped=False,
-677                prefix=" ",
-678            )
-679
-680        indexes = self.expressions(expression, key="indexes", indent=False, sep=" ")
-681        indexes = f" {indexes}" if indexes else ""
-682        index_sql = indexes + postindex_props_sql
-683
-684        replace = " OR REPLACE" if expression.args.get("replace") else ""
-685        unique = " UNIQUE" if expression.args.get("unique") else ""
+            
    642    def create_sql(self, expression: exp.Create) -> str:
+643        kind = self.sql(expression, "kind").upper()
+644        properties = expression.args.get("properties")
+645        properties_locs = self.locate_properties(properties) if properties else {}
+646
+647        this = self.createable_sql(expression, properties_locs)
+648
+649        properties_sql = ""
+650        if properties_locs.get(exp.Properties.Location.POST_SCHEMA) or properties_locs.get(
+651            exp.Properties.Location.POST_WITH
+652        ):
+653            properties_sql = self.sql(
+654                exp.Properties(
+655                    expressions=[
+656                        *properties_locs[exp.Properties.Location.POST_SCHEMA],
+657                        *properties_locs[exp.Properties.Location.POST_WITH],
+658                    ]
+659                )
+660            )
+661
+662        begin = " BEGIN" if expression.args.get("begin") else ""
+663        expression_sql = self.sql(expression, "expression")
+664        if expression_sql:
+665            expression_sql = f"{begin}{self.sep()}{expression_sql}"
+666
+667            if self.CREATE_FUNCTION_RETURN_AS or not isinstance(expression.expression, exp.Return):
+668                if properties_locs.get(exp.Properties.Location.POST_ALIAS):
+669                    postalias_props_sql = self.properties(
+670                        exp.Properties(
+671                            expressions=properties_locs[exp.Properties.Location.POST_ALIAS]
+672                        ),
+673                        wrapped=False,
+674                    )
+675                    expression_sql = f" AS {postalias_props_sql}{expression_sql}"
+676                else:
+677                    expression_sql = f" AS{expression_sql}"
+678
+679        postindex_props_sql = ""
+680        if properties_locs.get(exp.Properties.Location.POST_INDEX):
+681            postindex_props_sql = self.properties(
+682                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_INDEX]),
+683                wrapped=False,
+684                prefix=" ",
+685            )
 686
-687        postcreate_props_sql = ""
-688        if properties_locs.get(exp.Properties.Location.POST_CREATE):
-689            postcreate_props_sql = self.properties(
-690                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
-691                sep=" ",
-692                prefix=" ",
-693                wrapped=False,
-694            )
-695
-696        modifiers = "".join((replace, unique, postcreate_props_sql))
-697
-698        postexpression_props_sql = ""
-699        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
-700            postexpression_props_sql = self.properties(
-701                exp.Properties(
-702                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
-703                ),
-704                sep=" ",
-705                prefix=" ",
-706                wrapped=False,
-707            )
-708
-709        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
-710        no_schema_binding = (
-711            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
-712        )
-713
-714        clone = self.sql(expression, "clone")
-715        clone = f" {clone}" if clone else ""
-716
-717        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
-718        return self.prepend_ctes(expression, expression_sql)
+687        indexes = self.expressions(expression, key="indexes", indent=False, sep=" ")
+688        indexes = f" {indexes}" if indexes else ""
+689        index_sql = indexes + postindex_props_sql
+690
+691        replace = " OR REPLACE" if expression.args.get("replace") else ""
+692        unique = " UNIQUE" if expression.args.get("unique") else ""
+693
+694        postcreate_props_sql = ""
+695        if properties_locs.get(exp.Properties.Location.POST_CREATE):
+696            postcreate_props_sql = self.properties(
+697                exp.Properties(expressions=properties_locs[exp.Properties.Location.POST_CREATE]),
+698                sep=" ",
+699                prefix=" ",
+700                wrapped=False,
+701            )
+702
+703        modifiers = "".join((replace, unique, postcreate_props_sql))
+704
+705        postexpression_props_sql = ""
+706        if properties_locs.get(exp.Properties.Location.POST_EXPRESSION):
+707            postexpression_props_sql = self.properties(
+708                exp.Properties(
+709                    expressions=properties_locs[exp.Properties.Location.POST_EXPRESSION]
+710                ),
+711                sep=" ",
+712                prefix=" ",
+713                wrapped=False,
+714            )
+715
+716        exists_sql = " IF NOT EXISTS" if expression.args.get("exists") else ""
+717        no_schema_binding = (
+718            " WITH NO SCHEMA BINDING" if expression.args.get("no_schema_binding") else ""
+719        )
+720
+721        clone = self.sql(expression, "clone")
+722        clone = f" {clone}" if clone else ""
+723
+724        expression_sql = f"CREATE{modifiers} {kind}{exists_sql} {this}{properties_sql}{expression_sql}{postexpression_props_sql}{index_sql}{no_schema_binding}{clone}"
+725        return self.prepend_ctes(expression, expression_sql)
 
    
 
 
@@ -6436,16 +6562,16 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    720    def clone_sql(self, expression: exp.Clone) -> str:
-721        this = self.sql(expression, "this")
-722        when = self.sql(expression, "when")
-723
-724        if when:
-725            kind = self.sql(expression, "kind")
-726            expr = self.sql(expression, "expression")
-727            return f"CLONE {this} {when} ({kind} => {expr})"
-728
-729        return f"CLONE {this}"
+            
    727    def clone_sql(self, expression: exp.Clone) -> str:
+728        this = self.sql(expression, "this")
+729        when = self.sql(expression, "when")
+730
+731        if when:
+732            kind = self.sql(expression, "kind")
+733            expr = self.sql(expression, "expression")
+734            return f"CLONE {this} {when} ({kind} => {expr})"
+735
+736        return f"CLONE {this}"
 
    
 
 
@@ -6463,8 +6589,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    731    def describe_sql(self, expression: exp.Describe) -> str:
-732        return f"DESCRIBE {self.sql(expression, 'this')}"
+            
    738    def describe_sql(self, expression: exp.Describe) -> str:
+739        return f"DESCRIBE {self.sql(expression, 'this')}"
 
    
 
 
@@ -6482,11 +6608,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    734    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
-735        with_ = self.sql(expression, "with")
-736        if with_:
-737            sql = f"{with_}{self.sep()}{sql}"
-738        return sql
+            
    741    def prepend_ctes(self, expression: exp.Expression, sql: str) -> str:
+742        with_ = self.sql(expression, "with")
+743        if with_:
+744            sql = f"{with_}{self.sep()}{sql}"
+745        return sql
 
    
 
 
@@ -6504,11 +6630,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    740    def with_sql(self, expression: exp.With) -> str:
-741        sql = self.expressions(expression, flat=True)
-742        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
-743
-744        return f"WITH {recursive}{sql}"
+            
    747    def with_sql(self, expression: exp.With) -> str:
+748        sql = self.expressions(expression, flat=True)
+749        recursive = "RECURSIVE " if expression.args.get("recursive") else ""
+750
+751        return f"WITH {recursive}{sql}"
 
    
 
 
@@ -6526,9 +6652,9 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    746    def cte_sql(self, expression: exp.CTE) -> str:
-747        alias = self.sql(expression, "alias")
-748        return f"{alias} AS {self.wrap(expression)}"
+            
    753    def cte_sql(self, expression: exp.CTE) -> str:
+754        alias = self.sql(expression, "alias")
+755        return f"{alias} AS {self.wrap(expression)}"
 
    
 
 
@@ -6546,11 +6672,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    750    def tablealias_sql(self, expression: exp.TableAlias) -> str:
-751        alias = self.sql(expression, "this")
-752        columns = self.expressions(expression, key="columns", flat=True)
-753        columns = f"({columns})" if columns else ""
-754        return f"{alias}{columns}"
+            
    757    def tablealias_sql(self, expression: exp.TableAlias) -> str:
+758        alias = self.sql(expression, "this")
+759        columns = self.expressions(expression, key="columns", flat=True)
+760        columns = f"({columns})" if columns else ""
+761        return f"{alias}{columns}"
 
    
 
 
@@ -6568,11 +6694,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    756    def bitstring_sql(self, expression: exp.BitString) -> str:
-757        this = self.sql(expression, "this")
-758        if self.BIT_START:
-759            return f"{self.BIT_START}{this}{self.BIT_END}"
-760        return f"{int(this, 2)}"
+            
    763    def bitstring_sql(self, expression: exp.BitString) -> str:
+764        this = self.sql(expression, "this")
+765        if self.BIT_START:
+766            return f"{self.BIT_START}{this}{self.BIT_END}"
+767        return f"{int(this, 2)}"
 
    
 
 
@@ -6590,11 +6716,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    762    def hexstring_sql(self, expression: exp.HexString) -> str:
-763        this = self.sql(expression, "this")
-764        if self.HEX_START:
-765            return f"{self.HEX_START}{this}{self.HEX_END}"
-766        return f"{int(this, 16)}"
+            
    769    def hexstring_sql(self, expression: exp.HexString) -> str:
+770        this = self.sql(expression, "this")
+771        if self.HEX_START:
+772            return f"{self.HEX_START}{this}{self.HEX_END}"
+773        return f"{int(this, 16)}"
 
    
 
 
@@ -6612,11 +6738,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    768    def bytestring_sql(self, expression: exp.ByteString) -> str:
-769        this = self.sql(expression, "this")
-770        if self.BYTE_START:
-771            return f"{self.BYTE_START}{this}{self.BYTE_END}"
-772        return this
+            
    775    def bytestring_sql(self, expression: exp.ByteString) -> str:
+776        this = self.sql(expression, "this")
+777        if self.BYTE_START:
+778            return f"{self.BYTE_START}{this}{self.BYTE_END}"
+779        return this
 
    
 
 
@@ -6634,10 +6760,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    774    def rawstring_sql(self, expression: exp.RawString) -> str:
-775        if self.RAW_START:
-776            return f"{self.RAW_START}{expression.name}{self.RAW_END}"
-777        return self.sql(exp.Literal.string(expression.name.replace("\\", "\\\\")))
+            
    781    def rawstring_sql(self, expression: exp.RawString) -> str:
+782        string = expression.this
+783        if self.RAW_START:
+784            return f"{self.RAW_START}{self.escape_str(expression.this)}{self.RAW_END}"
+785        string = self.escape_str(string.replace("\\", "\\\\"))
+786        return f"{self.QUOTE_START}{string}{self.QUOTE_END}"
 
    
 
 
@@ -6655,11 +6783,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    779    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
-780        this = self.sql(expression, "this")
-781        specifier = self.sql(expression, "expression")
-782        specifier = f" {specifier}" if specifier else ""
-783        return f"{this}{specifier}"
+            
    788    def datatypesize_sql(self, expression: exp.DataTypeSize) -> str:
+789        this = self.sql(expression, "this")
+790        specifier = self.sql(expression, "expression")
+791        specifier = f" {specifier}" if specifier else ""
+792        return f"{this}{specifier}"
 
    
 
 
@@ -6677,23 +6805,23 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    785    def datatype_sql(self, expression: exp.DataType) -> str:
-786        type_value = expression.this
-787        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
-788        nested = ""
-789        interior = self.expressions(expression, flat=True)
-790        values = ""
-791        if interior:
-792            if expression.args.get("nested"):
-793                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
-794                if expression.args.get("values") is not None:
-795                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
-796                    values = self.expressions(expression, key="values", flat=True)
-797                    values = f"{delimiters[0]}{values}{delimiters[1]}"
-798            else:
-799                nested = f"({interior})"
-800
-801        return f"{type_sql}{nested}{values}"
+            
    794    def datatype_sql(self, expression: exp.DataType) -> str:
+795        type_value = expression.this
+796        type_sql = self.TYPE_MAPPING.get(type_value, type_value.value)
+797        nested = ""
+798        interior = self.expressions(expression, flat=True)
+799        values = ""
+800        if interior:
+801            if expression.args.get("nested"):
+802                nested = f"{self.STRUCT_DELIMITER[0]}{interior}{self.STRUCT_DELIMITER[1]}"
+803                if expression.args.get("values") is not None:
+804                    delimiters = ("[", "]") if type_value == exp.DataType.Type.ARRAY else ("(", ")")
+805                    values = self.expressions(expression, key="values", flat=True)
+806                    values = f"{delimiters[0]}{values}{delimiters[1]}"
+807            else:
+808                nested = f"({interior})"
+809
+810        return f"{type_sql}{nested}{values}"
 
    
 
 
@@ -6711,11 +6839,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    803    def directory_sql(self, expression: exp.Directory) -> str:
-804        local = "LOCAL " if expression.args.get("local") else ""
-805        row_format = self.sql(expression, "row_format")
-806        row_format = f" {row_format}" if row_format else ""
-807        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
+            
    812    def directory_sql(self, expression: exp.Directory) -> str:
+813        local = "LOCAL " if expression.args.get("local") else ""
+814        row_format = self.sql(expression, "row_format")
+815        row_format = f" {row_format}" if row_format else ""
+816        return f"{local}DIRECTORY {self.sql(expression, 'this')}{row_format}"
 
    
 
 
@@ -6733,18 +6861,18 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    809    def delete_sql(self, expression: exp.Delete) -> str:
-810        this = self.sql(expression, "this")
-811        this = f" FROM {this}" if this else ""
-812        using_sql = (
-813            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
-814            if expression.args.get("using")
-815            else ""
-816        )
-817        where_sql = self.sql(expression, "where")
-818        returning = self.sql(expression, "returning")
-819        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
-820        return self.prepend_ctes(expression, sql)
+            
    818    def delete_sql(self, expression: exp.Delete) -> str:
+819        this = self.sql(expression, "this")
+820        this = f" FROM {this}" if this else ""
+821        using_sql = (
+822            f" USING {self.expressions(expression, key='using', sep=', USING ')}"
+823            if expression.args.get("using")
+824            else ""
+825        )
+826        where_sql = self.sql(expression, "where")
+827        returning = self.sql(expression, "returning")
+828        sql = f"DELETE{this}{using_sql}{where_sql}{returning}"
+829        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -6762,18 +6890,18 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    822    def drop_sql(self, expression: exp.Drop) -> str:
-823        this = self.sql(expression, "this")
-824        kind = expression.args["kind"]
-825        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
-826        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
-827        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
-828        cascade = " CASCADE" if expression.args.get("cascade") else ""
-829        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
-830        purge = " PURGE" if expression.args.get("purge") else ""
-831        return (
-832            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
-833        )
+            
    831    def drop_sql(self, expression: exp.Drop) -> str:
+832        this = self.sql(expression, "this")
+833        kind = expression.args["kind"]
+834        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+835        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+836        materialized = " MATERIALIZED" if expression.args.get("materialized") else ""
+837        cascade = " CASCADE" if expression.args.get("cascade") else ""
+838        constraints = " CONSTRAINTS" if expression.args.get("constraints") else ""
+839        purge = " PURGE" if expression.args.get("purge") else ""
+840        return (
+841            f"DROP{temporary}{materialized} {kind}{exists_sql}{this}{cascade}{constraints}{purge}"
+842        )
 
    
 
 
@@ -6791,11 +6919,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    835    def except_sql(self, expression: exp.Except) -> str:
-836        return self.prepend_ctes(
-837            expression,
-838            self.set_operation(expression, self.except_op(expression)),
-839        )
+            
    844    def except_sql(self, expression: exp.Except) -> str:
+845        return self.prepend_ctes(
+846            expression,
+847            self.set_operation(expression, self.except_op(expression)),
+848        )
 
    
 
 
@@ -6813,8 +6941,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    841    def except_op(self, expression: exp.Except) -> str:
-842        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
+            
    850    def except_op(self, expression: exp.Except) -> str:
+851        return f"EXCEPT{'' if expression.args.get('distinct') else ' ALL'}"
 
    
 
 
@@ -6832,15 +6960,15 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    844    def fetch_sql(self, expression: exp.Fetch) -> str:
-845        direction = expression.args.get("direction")
-846        direction = f" {direction.upper()}" if direction else ""
-847        count = expression.args.get("count")
-848        count = f" {count}" if count else ""
-849        if expression.args.get("percent"):
-850            count = f"{count} PERCENT"
-851        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
-852        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
+            
    853    def fetch_sql(self, expression: exp.Fetch) -> str:
+854        direction = expression.args.get("direction")
+855        direction = f" {direction.upper()}" if direction else ""
+856        count = expression.args.get("count")
+857        count = f" {count}" if count else ""
+858        if expression.args.get("percent"):
+859            count = f"{count} PERCENT"
+860        with_ties_or_only = "WITH TIES" if expression.args.get("with_ties") else "ONLY"
+861        return f"{self.seg('FETCH')}{direction}{count} ROWS {with_ties_or_only}"
 
    
 
 
@@ -6858,10 +6986,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    854    def filter_sql(self, expression: exp.Filter) -> str:
-855        this = self.sql(expression, "this")
-856        where = self.sql(expression, "expression")[1:]  # where has a leading space
-857        return f"{this} FILTER({where})"
+            
    863    def filter_sql(self, expression: exp.Filter) -> str:
+864        this = self.sql(expression, "this")
+865        where = self.sql(expression, "expression")[1:]  # where has a leading space
+866        return f"{this} FILTER({where})"
 
    
 
 
@@ -6879,10 +7007,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    859    def hint_sql(self, expression: exp.Hint) -> str:
-860        if self.sql(expression, "this"):
-861            self.unsupported("Hints are not supported")
-862        return ""
+            
    868    def hint_sql(self, expression: exp.Hint) -> str:
+869        if self.sql(expression, "this"):
+870            self.unsupported("Hints are not supported")
+871        return ""
 
    
 
 
@@ -6900,21 +7028,21 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    864    def index_sql(self, expression: exp.Index) -> str:
-865        unique = "UNIQUE " if expression.args.get("unique") else ""
-866        primary = "PRIMARY " if expression.args.get("primary") else ""
-867        amp = "AMP " if expression.args.get("amp") else ""
-868        name = f"{expression.name} " if expression.name else ""
-869        table = self.sql(expression, "table")
-870        table = f"{self.INDEX_ON} {table} " if table else ""
-871        using = self.sql(expression, "using")
-872        using = f"USING {using} " if using else ""
-873        index = "INDEX " if not table else ""
-874        columns = self.expressions(expression, key="columns", flat=True)
-875        columns = f"({columns})" if columns else ""
-876        partition_by = self.expressions(expression, key="partition_by", flat=True)
-877        partition_by = f" PARTITION BY {partition_by}" if partition_by else ""
-878        return f"{unique}{primary}{amp}{index}{name}{table}{using}{columns}{partition_by}"
+            
    873    def index_sql(self, expression: exp.Index) -> str:
+874        unique = "UNIQUE " if expression.args.get("unique") else ""
+875        primary = "PRIMARY " if expression.args.get("primary") else ""
+876        amp = "AMP " if expression.args.get("amp") else ""
+877        name = f"{expression.name} " if expression.name else ""
+878        table = self.sql(expression, "table")
+879        table = f"{self.INDEX_ON} {table} " if table else ""
+880        using = self.sql(expression, "using")
+881        using = f"USING {using} " if using else ""
+882        index = "INDEX " if not table else ""
+883        columns = self.expressions(expression, key="columns", flat=True)
+884        columns = f"({columns})" if columns else ""
+885        partition_by = self.expressions(expression, key="partition_by", flat=True)
+886        partition_by = f" PARTITION BY {partition_by}" if partition_by else ""
+887        return f"{unique}{primary}{amp}{index}{name}{table}{using}{columns}{partition_by}"
 
    
 
 
@@ -6932,19 +7060,19 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    880    def identifier_sql(self, expression: exp.Identifier) -> str:
-881        text = expression.name
-882        lower = text.lower()
-883        text = lower if self.normalize and not expression.quoted else text
-884        text = text.replace(self.IDENTIFIER_END, self._escaped_identifier_end)
-885        if (
-886            expression.quoted
-887            or should_identify(text, self.identify)
-888            or lower in self.RESERVED_KEYWORDS
-889            or (not self.IDENTIFIERS_CAN_START_WITH_DIGIT and text[:1].isdigit())
-890        ):
-891            text = f"{self.IDENTIFIER_START}{text}{self.IDENTIFIER_END}"
-892        return text
+            
    889    def identifier_sql(self, expression: exp.Identifier) -> str:
+890        text = expression.name
+891        lower = text.lower()
+892        text = lower if self.normalize and not expression.quoted else text
+893        text = text.replace(self.IDENTIFIER_END, self._escaped_identifier_end)
+894        if (
+895            expression.quoted
+896            or self.can_identify(text, self.identify)
+897            or lower in self.RESERVED_KEYWORDS
+898            or (not self.IDENTIFIERS_CAN_START_WITH_DIGIT and text[:1].isdigit())
+899        ):
+900            text = f"{self.IDENTIFIER_START}{text}{self.IDENTIFIER_END}"
+901        return text
 
    
 
 
@@ -6962,12 +7090,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    894    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
-895        input_format = self.sql(expression, "input_format")
-896        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
-897        output_format = self.sql(expression, "output_format")
-898        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
-899        return self.sep().join((input_format, output_format))
+            
    903    def inputoutputformat_sql(self, expression: exp.InputOutputFormat) -> str:
+904        input_format = self.sql(expression, "input_format")
+905        input_format = f"INPUTFORMAT {input_format}" if input_format else ""
+906        output_format = self.sql(expression, "output_format")
+907        output_format = f"OUTPUTFORMAT {output_format}" if output_format else ""
+908        return self.sep().join((input_format, output_format))
 
    
 
 
@@ -6985,9 +7113,9 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    901    def national_sql(self, expression: exp.National, prefix: str = "N") -> str:
-902        string = self.sql(exp.Literal.string(expression.name))
-903        return f"{prefix}{string}"
+            
    910    def national_sql(self, expression: exp.National, prefix: str = "N") -> str:
+911        string = self.sql(exp.Literal.string(expression.name))
+912        return f"{prefix}{string}"
 
    
 
 
@@ -7005,8 +7133,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    905    def partition_sql(self, expression: exp.Partition) -> str:
-906        return f"PARTITION({self.expressions(expression)})"
+            
    914    def partition_sql(self, expression: exp.Partition) -> str:
+915        return f"PARTITION({self.expressions(expression)})"
 
    
 
 
@@ -7024,20 +7152,20 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    908    def properties_sql(self, expression: exp.Properties) -> str:
-909        root_properties = []
-910        with_properties = []
-911
-912        for p in expression.expressions:
-913            p_loc = self.PROPERTIES_LOCATION[p.__class__]
-914            if p_loc == exp.Properties.Location.POST_WITH:
-915                with_properties.append(p)
-916            elif p_loc == exp.Properties.Location.POST_SCHEMA:
-917                root_properties.append(p)
-918
-919        return self.root_properties(
-920            exp.Properties(expressions=root_properties)
-921        ) + self.with_properties(exp.Properties(expressions=with_properties))
+            
    917    def properties_sql(self, expression: exp.Properties) -> str:
+918        root_properties = []
+919        with_properties = []
+920
+921        for p in expression.expressions:
+922            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+923            if p_loc == exp.Properties.Location.POST_WITH:
+924                with_properties.append(p)
+925            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+926                root_properties.append(p)
+927
+928        return self.root_properties(
+929            exp.Properties(expressions=root_properties)
+930        ) + self.with_properties(exp.Properties(expressions=with_properties))
 
    
 
 
@@ -7055,10 +7183,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    923    def root_properties(self, properties: exp.Properties) -> str:
-924        if properties.expressions:
-925            return self.sep() + self.expressions(properties, indent=False, sep=" ")
-926        return ""
+            
    932    def root_properties(self, properties: exp.Properties) -> str:
+933        if properties.expressions:
+934            return self.sep() + self.expressions(properties, indent=False, sep=" ")
+935        return ""
 
    
 
 
@@ -7076,19 +7204,19 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    928    def properties(
-929        self,
-930        properties: exp.Properties,
-931        prefix: str = "",
-932        sep: str = ", ",
-933        suffix: str = "",
-934        wrapped: bool = True,
-935    ) -> str:
-936        if properties.expressions:
-937            expressions = self.expressions(properties, sep=sep, indent=False)
-938            expressions = self.wrap(expressions) if wrapped else expressions
-939            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
-940        return ""
+            
    937    def properties(
+938        self,
+939        properties: exp.Properties,
+940        prefix: str = "",
+941        sep: str = ", ",
+942        suffix: str = "",
+943        wrapped: bool = True,
+944    ) -> str:
+945        if properties.expressions:
+946            expressions = self.expressions(properties, sep=sep, indent=False)
+947            expressions = self.wrap(expressions) if wrapped else expressions
+948            return f"{prefix}{' ' if prefix and prefix != ' ' else ''}{expressions}{suffix}"
+949        return ""
 
    
 
 
@@ -7106,8 +7234,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    942    def with_properties(self, properties: exp.Properties) -> str:
-943        return self.properties(properties, prefix=self.seg("WITH"))
+            
    951    def with_properties(self, properties: exp.Properties) -> str:
+952        return self.properties(properties, prefix=self.seg("WITH"))
 
    
 
 
@@ -7125,33 +7253,33 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    945    def locate_properties(
-946        self, properties: exp.Properties
-947    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
-948        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
-949            key: [] for key in exp.Properties.Location
-950        }
-951
-952        for p in properties.expressions:
-953            p_loc = self.PROPERTIES_LOCATION[p.__class__]
-954            if p_loc == exp.Properties.Location.POST_NAME:
-955                properties_locs[exp.Properties.Location.POST_NAME].append(p)
-956            elif p_loc == exp.Properties.Location.POST_INDEX:
-957                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
-958            elif p_loc == exp.Properties.Location.POST_SCHEMA:
-959                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
-960            elif p_loc == exp.Properties.Location.POST_WITH:
-961                properties_locs[exp.Properties.Location.POST_WITH].append(p)
-962            elif p_loc == exp.Properties.Location.POST_CREATE:
-963                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
-964            elif p_loc == exp.Properties.Location.POST_ALIAS:
-965                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
-966            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
-967                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
-968            elif p_loc == exp.Properties.Location.UNSUPPORTED:
-969                self.unsupported(f"Unsupported property {p.key}")
-970
-971        return properties_locs
+            
    954    def locate_properties(
+955        self, properties: exp.Properties
+956    ) -> t.Dict[exp.Properties.Location, list[exp.Property]]:
+957        properties_locs: t.Dict[exp.Properties.Location, list[exp.Property]] = {
+958            key: [] for key in exp.Properties.Location
+959        }
+960
+961        for p in properties.expressions:
+962            p_loc = self.PROPERTIES_LOCATION[p.__class__]
+963            if p_loc == exp.Properties.Location.POST_NAME:
+964                properties_locs[exp.Properties.Location.POST_NAME].append(p)
+965            elif p_loc == exp.Properties.Location.POST_INDEX:
+966                properties_locs[exp.Properties.Location.POST_INDEX].append(p)
+967            elif p_loc == exp.Properties.Location.POST_SCHEMA:
+968                properties_locs[exp.Properties.Location.POST_SCHEMA].append(p)
+969            elif p_loc == exp.Properties.Location.POST_WITH:
+970                properties_locs[exp.Properties.Location.POST_WITH].append(p)
+971            elif p_loc == exp.Properties.Location.POST_CREATE:
+972                properties_locs[exp.Properties.Location.POST_CREATE].append(p)
+973            elif p_loc == exp.Properties.Location.POST_ALIAS:
+974                properties_locs[exp.Properties.Location.POST_ALIAS].append(p)
+975            elif p_loc == exp.Properties.Location.POST_EXPRESSION:
+976                properties_locs[exp.Properties.Location.POST_EXPRESSION].append(p)
+977            elif p_loc == exp.Properties.Location.UNSUPPORTED:
+978                self.unsupported(f"Unsupported property {p.key}")
+979
+980        return properties_locs
 
    
 
 
@@ -7169,16 +7297,16 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    973    def property_sql(self, expression: exp.Property) -> str:
-974        property_cls = expression.__class__
-975        if property_cls == exp.Property:
-976            return f"{expression.name}={self.sql(expression, 'value')}"
-977
-978        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
-979        if not property_name:
-980            self.unsupported(f"Unsupported property {expression.key}")
-981
-982        return f"{property_name}={self.sql(expression, 'this')}"
+            
    982    def property_sql(self, expression: exp.Property) -> str:
+983        property_cls = expression.__class__
+984        if property_cls == exp.Property:
+985            return f"{expression.name}={self.sql(expression, 'value')}"
+986
+987        property_name = exp.Properties.PROPERTY_TO_NAME.get(property_cls)
+988        if not property_name:
+989            self.unsupported(f"Unsupported property {expression.key}")
+990
+991        return f"{property_name}={self.sql(expression, 'this')}"
 
    
 
 
@@ -7196,10 +7324,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    984    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
-985        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
-986        options = f" {options}" if options else ""
-987        return f"LIKE {self.sql(expression, 'this')}{options}"
+            
    993    def likeproperty_sql(self, expression: exp.LikeProperty) -> str:
+994        options = " ".join(f"{e.name} {self.sql(e, 'value')}" for e in expression.expressions)
+995        options = f" {options}" if options else ""
+996        return f"LIKE {self.sql(expression, 'this')}{options}"
 
    
 
 
@@ -7217,10 +7345,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    989    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
-990        no = "NO " if expression.args.get("no") else ""
-991        protection = " PROTECTION" if expression.args.get("protection") else ""
-992        return f"{no}FALLBACK{protection}"
+            
     998    def fallbackproperty_sql(self, expression: exp.FallbackProperty) -> str:
+ 999        no = "NO " if expression.args.get("no") else ""
+1000        protection = " PROTECTION" if expression.args.get("protection") else ""
+1001        return f"{no}FALLBACK{protection}"
 
    
 
 
@@ -7238,14 +7366,14 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
     994    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
- 995        no = "NO " if expression.args.get("no") else ""
- 996        local = expression.args.get("local")
- 997        local = f"{local} " if local else ""
- 998        dual = "DUAL " if expression.args.get("dual") else ""
- 999        before = "BEFORE " if expression.args.get("before") else ""
-1000        after = "AFTER " if expression.args.get("after") else ""
-1001        return f"{no}{local}{dual}{before}{after}JOURNAL"
+            
    1003    def journalproperty_sql(self, expression: exp.JournalProperty) -> str:
+1004        no = "NO " if expression.args.get("no") else ""
+1005        local = expression.args.get("local")
+1006        local = f"{local} " if local else ""
+1007        dual = "DUAL " if expression.args.get("dual") else ""
+1008        before = "BEFORE " if expression.args.get("before") else ""
+1009        after = "AFTER " if expression.args.get("after") else ""
+1010        return f"{no}{local}{dual}{before}{after}JOURNAL"
 
    
 
 
@@ -7263,10 +7391,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1003    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
-1004        freespace = self.sql(expression, "this")
-1005        percent = " PERCENT" if expression.args.get("percent") else ""
-1006        return f"FREESPACE={freespace}{percent}"
+            
    1012    def freespaceproperty_sql(self, expression: exp.FreespaceProperty) -> str:
+1013        freespace = self.sql(expression, "this")
+1014        percent = " PERCENT" if expression.args.get("percent") else ""
+1015        return f"FREESPACE={freespace}{percent}"
 
    
 
 
@@ -7284,14 +7412,14 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1008    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
-1009        if expression.args.get("default"):
-1010            property = "DEFAULT"
-1011        elif expression.args.get("on"):
-1012            property = "ON"
-1013        else:
-1014            property = "OFF"
-1015        return f"CHECKSUM={property}"
+            
    1017    def checksumproperty_sql(self, expression: exp.ChecksumProperty) -> str:
+1018        if expression.args.get("default"):
+1019            property = "DEFAULT"
+1020        elif expression.args.get("on"):
+1021            property = "ON"
+1022        else:
+1023            property = "OFF"
+1024        return f"CHECKSUM={property}"
 
    
 
 
@@ -7309,14 +7437,14 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1017    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
-1018        if expression.args.get("no"):
-1019            return "NO MERGEBLOCKRATIO"
-1020        if expression.args.get("default"):
-1021            return "DEFAULT MERGEBLOCKRATIO"
-1022
-1023        percent = " PERCENT" if expression.args.get("percent") else ""
-1024        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
+            
    1026    def mergeblockratioproperty_sql(self, expression: exp.MergeBlockRatioProperty) -> str:
+1027        if expression.args.get("no"):
+1028            return "NO MERGEBLOCKRATIO"
+1029        if expression.args.get("default"):
+1030            return "DEFAULT MERGEBLOCKRATIO"
+1031
+1032        percent = " PERCENT" if expression.args.get("percent") else ""
+1033        return f"MERGEBLOCKRATIO={self.sql(expression, 'this')}{percent}"
 
    
 
 
@@ -7334,21 +7462,21 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1026    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
-1027        default = expression.args.get("default")
-1028        minimum = expression.args.get("minimum")
-1029        maximum = expression.args.get("maximum")
-1030        if default or minimum or maximum:
-1031            if default:
-1032                prop = "DEFAULT"
-1033            elif minimum:
-1034                prop = "MINIMUM"
-1035            else:
-1036                prop = "MAXIMUM"
-1037            return f"{prop} DATABLOCKSIZE"
-1038        units = expression.args.get("units")
-1039        units = f" {units}" if units else ""
-1040        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
+            
    1035    def datablocksizeproperty_sql(self, expression: exp.DataBlocksizeProperty) -> str:
+1036        default = expression.args.get("default")
+1037        minimum = expression.args.get("minimum")
+1038        maximum = expression.args.get("maximum")
+1039        if default or minimum or maximum:
+1040            if default:
+1041                prop = "DEFAULT"
+1042            elif minimum:
+1043                prop = "MINIMUM"
+1044            else:
+1045                prop = "MAXIMUM"
+1046            return f"{prop} DATABLOCKSIZE"
+1047        units = expression.args.get("units")
+1048        units = f" {units}" if units else ""
+1049        return f"DATABLOCKSIZE={self.sql(expression, 'size')}{units}"
 
    
 
 
@@ -7366,24 +7494,24 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1042    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
-1043        autotemp = expression.args.get("autotemp")
-1044        always = expression.args.get("always")
-1045        default = expression.args.get("default")
-1046        manual = expression.args.get("manual")
-1047        never = expression.args.get("never")
-1048
-1049        if autotemp is not None:
-1050            prop = f"AUTOTEMP({self.expressions(autotemp)})"
-1051        elif always:
-1052            prop = "ALWAYS"
-1053        elif default:
-1054            prop = "DEFAULT"
-1055        elif manual:
-1056            prop = "MANUAL"
-1057        elif never:
-1058            prop = "NEVER"
-1059        return f"BLOCKCOMPRESSION={prop}"
+            
    1051    def blockcompressionproperty_sql(self, expression: exp.BlockCompressionProperty) -> str:
+1052        autotemp = expression.args.get("autotemp")
+1053        always = expression.args.get("always")
+1054        default = expression.args.get("default")
+1055        manual = expression.args.get("manual")
+1056        never = expression.args.get("never")
+1057
+1058        if autotemp is not None:
+1059            prop = f"AUTOTEMP({self.expressions(autotemp)})"
+1060        elif always:
+1061            prop = "ALWAYS"
+1062        elif default:
+1063            prop = "DEFAULT"
+1064        elif manual:
+1065            prop = "MANUAL"
+1066        elif never:
+1067            prop = "NEVER"
+1068        return f"BLOCKCOMPRESSION={prop}"
 
    
 
 
@@ -7401,20 +7529,20 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1061    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
-1062        no = expression.args.get("no")
-1063        no = " NO" if no else ""
-1064        concurrent = expression.args.get("concurrent")
-1065        concurrent = " CONCURRENT" if concurrent else ""
-1066
-1067        for_ = ""
-1068        if expression.args.get("for_all"):
-1069            for_ = " FOR ALL"
-1070        elif expression.args.get("for_insert"):
-1071            for_ = " FOR INSERT"
-1072        elif expression.args.get("for_none"):
-1073            for_ = " FOR NONE"
-1074        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
+            
    1070    def isolatedloadingproperty_sql(self, expression: exp.IsolatedLoadingProperty) -> str:
+1071        no = expression.args.get("no")
+1072        no = " NO" if no else ""
+1073        concurrent = expression.args.get("concurrent")
+1074        concurrent = " CONCURRENT" if concurrent else ""
+1075
+1076        for_ = ""
+1077        if expression.args.get("for_all"):
+1078            for_ = " FOR ALL"
+1079        elif expression.args.get("for_insert"):
+1080            for_ = " FOR INSERT"
+1081        elif expression.args.get("for_none"):
+1082            for_ = " FOR NONE"
+1083        return f"WITH{no}{concurrent} ISOLATED LOADING{for_}"
 
    
 
 
@@ -7432,13 +7560,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1076    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
-1077        kind = expression.args.get("kind")
-1078        this = f" {self.sql(expression, 'this')}" if expression.this else ""
-1079        for_or_in = expression.args.get("for_or_in")
-1080        lock_type = expression.args.get("lock_type")
-1081        override = " OVERRIDE" if expression.args.get("override") else ""
-1082        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
+            
    1085    def lockingproperty_sql(self, expression: exp.LockingProperty) -> str:
+1086        kind = expression.args.get("kind")
+1087        this = f" {self.sql(expression, 'this')}" if expression.this else ""
+1088        for_or_in = expression.args.get("for_or_in")
+1089        lock_type = expression.args.get("lock_type")
+1090        override = " OVERRIDE" if expression.args.get("override") else ""
+1091        return f"LOCKING {kind}{this} {for_or_in} {lock_type}{override}"
 
    
 
 
@@ -7456,13 +7584,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1084    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
-1085        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
-1086        statistics = expression.args.get("statistics")
-1087        statistics_sql = ""
-1088        if statistics is not None:
-1089            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
-1090        return f"{data_sql}{statistics_sql}"
+            
    1093    def withdataproperty_sql(self, expression: exp.WithDataProperty) -> str:
+1094        data_sql = f"WITH {'NO ' if expression.args.get('no') else ''}DATA"
+1095        statistics = expression.args.get("statistics")
+1096        statistics_sql = ""
+1097        if statistics is not None:
+1098            statistics_sql = f" AND {'NO ' if not statistics else ''}STATISTICS"
+1099        return f"{data_sql}{statistics_sql}"
 
    
 
 
@@ -7480,28 +7608,28 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1092    def insert_sql(self, expression: exp.Insert) -> str:
-1093        overwrite = expression.args.get("overwrite")
-1094
-1095        if isinstance(expression.this, exp.Directory):
-1096            this = "OVERWRITE " if overwrite else "INTO "
-1097        else:
-1098            this = "OVERWRITE TABLE " if overwrite else "INTO "
-1099
-1100        alternative = expression.args.get("alternative")
-1101        alternative = f" OR {alternative} " if alternative else " "
-1102        this = f"{this}{self.sql(expression, 'this')}"
+            
    1101    def insert_sql(self, expression: exp.Insert) -> str:
+1102        overwrite = expression.args.get("overwrite")
 1103
-1104        exists = " IF EXISTS " if expression.args.get("exists") else " "
-1105        partition_sql = (
-1106            self.sql(expression, "partition") if expression.args.get("partition") else ""
-1107        )
-1108        expression_sql = self.sql(expression, "expression")
-1109        conflict = self.sql(expression, "conflict")
-1110        returning = self.sql(expression, "returning")
-1111        sep = self.sep() if partition_sql else ""
-1112        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
-1113        return self.prepend_ctes(expression, sql)
+1104        if isinstance(expression.this, exp.Directory):
+1105            this = "OVERWRITE " if overwrite else "INTO "
+1106        else:
+1107            this = "OVERWRITE TABLE " if overwrite else "INTO "
+1108
+1109        alternative = expression.args.get("alternative")
+1110        alternative = f" OR {alternative} " if alternative else " "
+1111        this = f"{this}{self.sql(expression, 'this')}"
+1112
+1113        exists = " IF EXISTS " if expression.args.get("exists") else " "
+1114        partition_sql = (
+1115            self.sql(expression, "partition") if expression.args.get("partition") else ""
+1116        )
+1117        expression_sql = self.sql(expression, "expression")
+1118        conflict = self.sql(expression, "conflict")
+1119        returning = self.sql(expression, "returning")
+1120        sep = self.sep() if partition_sql else ""
+1121        sql = f"INSERT{alternative}{this}{exists}{partition_sql}{sep}{expression_sql}{conflict}{returning}"
+1122        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -7519,11 +7647,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1115    def intersect_sql(self, expression: exp.Intersect) -> str:
-1116        return self.prepend_ctes(
-1117            expression,
-1118            self.set_operation(expression, self.intersect_op(expression)),
-1119        )
+            
    1124    def intersect_sql(self, expression: exp.Intersect) -> str:
+1125        return self.prepend_ctes(
+1126            expression,
+1127            self.set_operation(expression, self.intersect_op(expression)),
+1128        )
 
    
 
 
@@ -7541,8 +7669,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1121    def intersect_op(self, expression: exp.Intersect) -> str:
-1122        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
+            
    1130    def intersect_op(self, expression: exp.Intersect) -> str:
+1131        return f"INTERSECT{'' if expression.args.get('distinct') else ' ALL'}"
 
    
 
 
@@ -7560,8 +7688,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1124    def introducer_sql(self, expression: exp.Introducer) -> str:
-1125        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
+            
    1133    def introducer_sql(self, expression: exp.Introducer) -> str:
+1134        return f"{self.sql(expression, 'this')} {self.sql(expression, 'expression')}"
 
    
 
 
@@ -7579,8 +7707,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1127    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
-1128        return expression.name.upper()
+            
    1136    def pseudotype_sql(self, expression: exp.PseudoType) -> str:
+1137        return expression.name.upper()
 
    
 
 
@@ -7598,18 +7726,18 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1130    def onconflict_sql(self, expression: exp.OnConflict) -> str:
-1131        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
-1132        constraint = self.sql(expression, "constraint")
-1133        if constraint:
-1134            constraint = f"ON CONSTRAINT {constraint}"
-1135        key = self.expressions(expression, key="key", flat=True)
-1136        do = "" if expression.args.get("duplicate") else " DO "
-1137        nothing = "NOTHING" if expression.args.get("nothing") else ""
-1138        expressions = self.expressions(expression, flat=True)
-1139        if expressions:
-1140            expressions = f"UPDATE SET {expressions}"
-1141        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
+            
    1139    def onconflict_sql(self, expression: exp.OnConflict) -> str:
+1140        conflict = "ON DUPLICATE KEY" if expression.args.get("duplicate") else "ON CONFLICT"
+1141        constraint = self.sql(expression, "constraint")
+1142        if constraint:
+1143            constraint = f"ON CONSTRAINT {constraint}"
+1144        key = self.expressions(expression, key="key", flat=True)
+1145        do = "" if expression.args.get("duplicate") else " DO "
+1146        nothing = "NOTHING" if expression.args.get("nothing") else ""
+1147        expressions = self.expressions(expression, flat=True)
+1148        if expressions:
+1149            expressions = f"UPDATE SET {expressions}"
+1150        return f"{self.seg(conflict)} {constraint}{key}{do}{nothing}{expressions}"
 
    
 
 
@@ -7627,8 +7755,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1143    def returning_sql(self, expression: exp.Returning) -> str:
-1144        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
+            
    1152    def returning_sql(self, expression: exp.Returning) -> str:
+1153        return f"{self.seg('RETURNING')} {self.expressions(expression, flat=True)}"
 
    
 
 
@@ -7646,20 +7774,20 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1146    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
-1147        fields = expression.args.get("fields")
-1148        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
-1149        escaped = expression.args.get("escaped")
-1150        escaped = f" ESCAPED BY {escaped}" if escaped else ""
-1151        items = expression.args.get("collection_items")
-1152        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
-1153        keys = expression.args.get("map_keys")
-1154        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
-1155        lines = expression.args.get("lines")
-1156        lines = f" LINES TERMINATED BY {lines}" if lines else ""
-1157        null = expression.args.get("null")
-1158        null = f" NULL DEFINED AS {null}" if null else ""
-1159        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
+            
    1155    def rowformatdelimitedproperty_sql(self, expression: exp.RowFormatDelimitedProperty) -> str:
+1156        fields = expression.args.get("fields")
+1157        fields = f" FIELDS TERMINATED BY {fields}" if fields else ""
+1158        escaped = expression.args.get("escaped")
+1159        escaped = f" ESCAPED BY {escaped}" if escaped else ""
+1160        items = expression.args.get("collection_items")
+1161        items = f" COLLECTION ITEMS TERMINATED BY {items}" if items else ""
+1162        keys = expression.args.get("map_keys")
+1163        keys = f" MAP KEYS TERMINATED BY {keys}" if keys else ""
+1164        lines = expression.args.get("lines")
+1165        lines = f" LINES TERMINATED BY {lines}" if lines else ""
+1166        null = expression.args.get("null")
+1167        null = f" NULL DEFINED AS {null}" if null else ""
+1168        return f"ROW FORMAT DELIMITED{fields}{escaped}{items}{keys}{lines}{null}"
 
    
 
 
@@ -7677,29 +7805,29 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1161    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
-1162        table = ".".join(
-1163            part
-1164            for part in [
-1165                self.sql(expression, "catalog"),
-1166                self.sql(expression, "db"),
-1167                self.sql(expression, "this"),
-1168            ]
-1169            if part
-1170        )
-1171
-1172        alias = self.sql(expression, "alias")
-1173        alias = f"{sep}{alias}" if alias else ""
-1174        hints = self.expressions(expression, key="hints", flat=True)
-1175        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
-1176        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1177        pivots = f" {pivots}" if pivots else ""
-1178        joins = self.expressions(expression, key="joins", sep="")
-1179        laterals = self.expressions(expression, key="laterals", sep="")
-1180        system_time = expression.args.get("system_time")
-1181        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
-1182
-1183        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
+            
    1170    def table_sql(self, expression: exp.Table, sep: str = " AS ") -> str:
+1171        table = ".".join(
+1172            part
+1173            for part in [
+1174                self.sql(expression, "catalog"),
+1175                self.sql(expression, "db"),
+1176                self.sql(expression, "this"),
+1177            ]
+1178            if part
+1179        )
+1180
+1181        alias = self.sql(expression, "alias")
+1182        alias = f"{sep}{alias}" if alias else ""
+1183        hints = self.expressions(expression, key="hints", flat=True)
+1184        hints = f" WITH ({hints})" if hints and self.TABLE_HINTS else ""
+1185        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1186        pivots = f" {pivots}" if pivots else ""
+1187        joins = self.expressions(expression, key="joins", sep="")
+1188        laterals = self.expressions(expression, key="laterals", sep="")
+1189        system_time = expression.args.get("system_time")
+1190        system_time = f" {self.sql(expression, 'system_time')}" if system_time else ""
+1191
+1192        return f"{table}{system_time}{alias}{hints}{pivots}{joins}{laterals}"
 
    
 
 
@@ -7717,35 +7845,35 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1185    def tablesample_sql(
-1186        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
-1187    ) -> str:
-1188        if self.ALIAS_POST_TABLESAMPLE and expression.this.alias:
-1189            table = expression.this.copy()
-1190            table.set("alias", None)
-1191            this = self.sql(table)
-1192            alias = f"{sep}{self.sql(expression.this, 'alias')}"
-1193        else:
-1194            this = self.sql(expression, "this")
-1195            alias = ""
-1196        method = self.sql(expression, "method")
-1197        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
-1198        numerator = self.sql(expression, "bucket_numerator")
-1199        denominator = self.sql(expression, "bucket_denominator")
-1200        field = self.sql(expression, "bucket_field")
-1201        field = f" ON {field}" if field else ""
-1202        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
-1203        percent = self.sql(expression, "percent")
-1204        percent = f"{percent} PERCENT" if percent else ""
-1205        rows = self.sql(expression, "rows")
-1206        rows = f"{rows} ROWS" if rows else ""
-1207        size = self.sql(expression, "size")
-1208        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
-1209            size = f"{size} PERCENT"
-1210        seed = self.sql(expression, "seed")
-1211        seed = f" {seed_prefix} ({seed})" if seed else ""
-1212        kind = expression.args.get("kind", "TABLESAMPLE")
-1213        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
+            
    1194    def tablesample_sql(
+1195        self, expression: exp.TableSample, seed_prefix: str = "SEED", sep=" AS "
+1196    ) -> str:
+1197        if self.ALIAS_POST_TABLESAMPLE and expression.this.alias:
+1198            table = expression.this.copy()
+1199            table.set("alias", None)
+1200            this = self.sql(table)
+1201            alias = f"{sep}{self.sql(expression.this, 'alias')}"
+1202        else:
+1203            this = self.sql(expression, "this")
+1204            alias = ""
+1205        method = self.sql(expression, "method")
+1206        method = f"{method.upper()} " if method and self.TABLESAMPLE_WITH_METHOD else ""
+1207        numerator = self.sql(expression, "bucket_numerator")
+1208        denominator = self.sql(expression, "bucket_denominator")
+1209        field = self.sql(expression, "bucket_field")
+1210        field = f" ON {field}" if field else ""
+1211        bucket = f"BUCKET {numerator} OUT OF {denominator}{field}" if numerator else ""
+1212        percent = self.sql(expression, "percent")
+1213        percent = f"{percent} PERCENT" if percent else ""
+1214        rows = self.sql(expression, "rows")
+1215        rows = f"{rows} ROWS" if rows else ""
+1216        size = self.sql(expression, "size")
+1217        if size and self.TABLESAMPLE_SIZE_IS_PERCENT:
+1218            size = f"{size} PERCENT"
+1219        seed = self.sql(expression, "seed")
+1220        seed = f" {seed_prefix} ({seed})" if seed else ""
+1221        kind = expression.args.get("kind", "TABLESAMPLE")
+1222        return f"{this} {kind} {method}({bucket}{percent}{rows}{size}){seed}{alias}"
 
    
 
 
@@ -7763,23 +7891,23 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1215    def pivot_sql(self, expression: exp.Pivot) -> str:
-1216        expressions = self.expressions(expression, flat=True)
-1217
-1218        if expression.this:
-1219            this = self.sql(expression, "this")
-1220            on = f"{self.seg('ON')} {expressions}"
-1221            using = self.expressions(expression, key="using", flat=True)
-1222            using = f"{self.seg('USING')} {using}" if using else ""
-1223            group = self.sql(expression, "group")
-1224            return f"PIVOT {this}{on}{using}{group}"
-1225
-1226        alias = self.sql(expression, "alias")
-1227        alias = f" AS {alias}" if alias else ""
-1228        unpivot = expression.args.get("unpivot")
-1229        direction = "UNPIVOT" if unpivot else "PIVOT"
-1230        field = self.sql(expression, "field")
-1231        return f"{direction}({expressions} FOR {field}){alias}"
+            
    1224    def pivot_sql(self, expression: exp.Pivot) -> str:
+1225        expressions = self.expressions(expression, flat=True)
+1226
+1227        if expression.this:
+1228            this = self.sql(expression, "this")
+1229            on = f"{self.seg('ON')} {expressions}"
+1230            using = self.expressions(expression, key="using", flat=True)
+1231            using = f"{self.seg('USING')} {using}" if using else ""
+1232            group = self.sql(expression, "group")
+1233            return f"PIVOT {this}{on}{using}{group}"
+1234
+1235        alias = self.sql(expression, "alias")
+1236        alias = f" AS {alias}" if alias else ""
+1237        unpivot = expression.args.get("unpivot")
+1238        direction = "UNPIVOT" if unpivot else "PIVOT"
+1239        field = self.sql(expression, "field")
+1240        return f"{direction}({expressions} FOR {field}){alias}"
 
    
 
 
@@ -7797,8 +7925,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1233    def tuple_sql(self, expression: exp.Tuple) -> str:
-1234        return f"({self.expressions(expression, flat=True)})"
+            
    1242    def tuple_sql(self, expression: exp.Tuple) -> str:
+1243        return f"({self.expressions(expression, flat=True)})"
 
    
 
 
@@ -7816,14 +7944,14 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1236    def update_sql(self, expression: exp.Update) -> str:
-1237        this = self.sql(expression, "this")
-1238        set_sql = self.expressions(expression, flat=True)
-1239        from_sql = self.sql(expression, "from")
-1240        where_sql = self.sql(expression, "where")
-1241        returning = self.sql(expression, "returning")
-1242        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
-1243        return self.prepend_ctes(expression, sql)
+            
    1245    def update_sql(self, expression: exp.Update) -> str:
+1246        this = self.sql(expression, "this")
+1247        set_sql = self.expressions(expression, flat=True)
+1248        from_sql = self.sql(expression, "from")
+1249        where_sql = self.sql(expression, "where")
+1250        returning = self.sql(expression, "returning")
+1251        sql = f"UPDATE {this} SET {set_sql}{from_sql}{where_sql}{returning}"
+1252        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -7841,16 +7969,16 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1245    def values_sql(self, expression: exp.Values) -> str:
-1246        args = self.expressions(expression)
-1247        alias = self.sql(expression, "alias")
-1248        values = f"VALUES{self.seg('')}{args}"
-1249        values = (
-1250            f"({values})"
-1251            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
-1252            else values
-1253        )
-1254        return f"{values} AS {alias}" if alias else values
+            
    1254    def values_sql(self, expression: exp.Values) -> str:
+1255        args = self.expressions(expression)
+1256        alias = self.sql(expression, "alias")
+1257        values = f"VALUES{self.seg('')}{args}"
+1258        values = (
+1259            f"({values})"
+1260            if self.WRAP_DERIVED_VALUES and (alias or isinstance(expression.parent, exp.From))
+1261            else values
+1262        )
+1263        return f"{values} AS {alias}" if alias else values
 
    
 
 
@@ -7868,8 +7996,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1256    def var_sql(self, expression: exp.Var) -> str:
-1257        return self.sql(expression, "this")
+            
    1265    def var_sql(self, expression: exp.Var) -> str:
+1266        return self.sql(expression, "this")
 
    
 
 
@@ -7887,10 +8015,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1259    def into_sql(self, expression: exp.Into) -> str:
-1260        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
-1261        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
-1262        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
+            
    1268    def into_sql(self, expression: exp.Into) -> str:
+1269        temporary = " TEMPORARY" if expression.args.get("temporary") else ""
+1270        unlogged = " UNLOGGED" if expression.args.get("unlogged") else ""
+1271        return f"{self.seg('INTO')}{temporary or unlogged} {self.sql(expression, 'this')}"
 
    
 
 
@@ -7908,8 +8036,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1264    def from_sql(self, expression: exp.From) -> str:
-1265        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
+            
    1273    def from_sql(self, expression: exp.From) -> str:
+1274        return f"{self.seg('FROM')} {self.sql(expression, 'this')}"
 
    
 
 
@@ -7927,39 +8055,39 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1267    def group_sql(self, expression: exp.Group) -> str:
-1268        group_by = self.op_expressions("GROUP BY", expression)
-1269        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
-1270        grouping_sets = (
-1271            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
-1272        )
-1273
-1274        cube = expression.args.get("cube", [])
-1275        if seq_get(cube, 0) is True:
-1276            return f"{group_by}{self.seg('WITH CUBE')}"
-1277        else:
-1278            cube_sql = self.expressions(expression, key="cube", indent=False)
-1279            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
-1280
-1281        rollup = expression.args.get("rollup", [])
-1282        if seq_get(rollup, 0) is True:
-1283            return f"{group_by}{self.seg('WITH ROLLUP')}"
-1284        else:
-1285            rollup_sql = self.expressions(expression, key="rollup", indent=False)
-1286            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
-1287
-1288        groupings = csv(
-1289            grouping_sets,
-1290            cube_sql,
-1291            rollup_sql,
-1292            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
-1293            sep=self.GROUPINGS_SEP,
-1294        )
-1295
-1296        if expression.args.get("expressions") and groupings:
-1297            group_by = f"{group_by}{self.GROUPINGS_SEP}"
-1298
-1299        return f"{group_by}{groupings}"
+            
    1276    def group_sql(self, expression: exp.Group) -> str:
+1277        group_by = self.op_expressions("GROUP BY", expression)
+1278        grouping_sets = self.expressions(expression, key="grouping_sets", indent=False)
+1279        grouping_sets = (
+1280            f"{self.seg('GROUPING SETS')} {self.wrap(grouping_sets)}" if grouping_sets else ""
+1281        )
+1282
+1283        cube = expression.args.get("cube", [])
+1284        if seq_get(cube, 0) is True:
+1285            return f"{group_by}{self.seg('WITH CUBE')}"
+1286        else:
+1287            cube_sql = self.expressions(expression, key="cube", indent=False)
+1288            cube_sql = f"{self.seg('CUBE')} {self.wrap(cube_sql)}" if cube_sql else ""
+1289
+1290        rollup = expression.args.get("rollup", [])
+1291        if seq_get(rollup, 0) is True:
+1292            return f"{group_by}{self.seg('WITH ROLLUP')}"
+1293        else:
+1294            rollup_sql = self.expressions(expression, key="rollup", indent=False)
+1295            rollup_sql = f"{self.seg('ROLLUP')} {self.wrap(rollup_sql)}" if rollup_sql else ""
+1296
+1297        groupings = csv(
+1298            grouping_sets,
+1299            cube_sql,
+1300            rollup_sql,
+1301            self.seg("WITH TOTALS") if expression.args.get("totals") else "",
+1302            sep=self.GROUPINGS_SEP,
+1303        )
+1304
+1305        if expression.args.get("expressions") and groupings:
+1306            group_by = f"{group_by}{self.GROUPINGS_SEP}"
+1307
+1308        return f"{group_by}{groupings}"
 
    
 
 
@@ -7977,9 +8105,9 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1301    def having_sql(self, expression: exp.Having) -> str:
-1302        this = self.indent(self.sql(expression, "this"))
-1303        return f"{self.seg('HAVING')}{self.sep()}{this}"
+            
    1310    def having_sql(self, expression: exp.Having) -> str:
+1311        this = self.indent(self.sql(expression, "this"))
+1312        return f"{self.seg('HAVING')}{self.sep()}{this}"
 
    
 
 
@@ -7997,38 +8125,38 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1305    def join_sql(self, expression: exp.Join) -> str:
-1306        op_sql = " ".join(
-1307            op
-1308            for op in (
-1309                expression.method,
-1310                "GLOBAL" if expression.args.get("global") else None,
-1311                expression.side,
-1312                expression.kind,
-1313                expression.hint if self.JOIN_HINTS else None,
-1314            )
-1315            if op
-1316        )
-1317        on_sql = self.sql(expression, "on")
-1318        using = expression.args.get("using")
-1319
-1320        if not on_sql and using:
-1321            on_sql = csv(*(self.sql(column) for column in using))
-1322
-1323        this_sql = self.sql(expression, "this")
-1324
-1325        if on_sql:
-1326            on_sql = self.indent(on_sql, skip_first=True)
-1327            space = self.seg(" " * self.pad) if self.pretty else " "
-1328            if using:
-1329                on_sql = f"{space}USING ({on_sql})"
-1330            else:
-1331                on_sql = f"{space}ON {on_sql}"
-1332        elif not op_sql:
-1333            return f", {this_sql}"
-1334
-1335        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
-1336        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
+            
    1314    def join_sql(self, expression: exp.Join) -> str:
+1315        op_sql = " ".join(
+1316            op
+1317            for op in (
+1318                expression.method,
+1319                "GLOBAL" if expression.args.get("global") else None,
+1320                expression.side,
+1321                expression.kind,
+1322                expression.hint if self.JOIN_HINTS else None,
+1323            )
+1324            if op
+1325        )
+1326        on_sql = self.sql(expression, "on")
+1327        using = expression.args.get("using")
+1328
+1329        if not on_sql and using:
+1330            on_sql = csv(*(self.sql(column) for column in using))
+1331
+1332        this_sql = self.sql(expression, "this")
+1333
+1334        if on_sql:
+1335            on_sql = self.indent(on_sql, skip_first=True)
+1336            space = self.seg(" " * self.pad) if self.pretty else " "
+1337            if using:
+1338                on_sql = f"{space}USING ({on_sql})"
+1339            else:
+1340                on_sql = f"{space}ON {on_sql}"
+1341        elif not op_sql:
+1342            return f", {this_sql}"
+1343
+1344        op_sql = f"{op_sql} JOIN" if op_sql else "JOIN"
+1345        return f"{self.seg(op_sql)} {this_sql}{on_sql}"
 
    
 
 
@@ -8046,10 +8174,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1338    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
-1339        args = self.expressions(expression, flat=True)
-1340        args = f"({args})" if len(args.split(",")) > 1 else args
-1341        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
+            
    1347    def lambda_sql(self, expression: exp.Lambda, arrow_sep: str = "->") -> str:
+1348        args = self.expressions(expression, flat=True)
+1349        args = f"({args})" if len(args.split(",")) > 1 else args
+1350        return f"{args} {arrow_sep} {self.sql(expression, 'this')}"
 
    
 
 
@@ -8067,23 +8195,23 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1343    def lateral_sql(self, expression: exp.Lateral) -> str:
-1344        this = self.sql(expression, "this")
-1345
-1346        if isinstance(expression.this, exp.Subquery):
-1347            return f"LATERAL {this}"
-1348
-1349        if expression.args.get("view"):
-1350            alias = expression.args["alias"]
-1351            columns = self.expressions(alias, key="columns", flat=True)
-1352            table = f" {alias.name}" if alias.name else ""
-1353            columns = f" AS {columns}" if columns else ""
-1354            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
-1355            return f"{op_sql}{self.sep()}{this}{table}{columns}"
-1356
-1357        alias = self.sql(expression, "alias")
-1358        alias = f" AS {alias}" if alias else ""
-1359        return f"LATERAL {this}{alias}"
+            
    1352    def lateral_sql(self, expression: exp.Lateral) -> str:
+1353        this = self.sql(expression, "this")
+1354
+1355        if isinstance(expression.this, exp.Subquery):
+1356            return f"LATERAL {this}"
+1357
+1358        if expression.args.get("view"):
+1359            alias = expression.args["alias"]
+1360            columns = self.expressions(alias, key="columns", flat=True)
+1361            table = f" {alias.name}" if alias.name else ""
+1362            columns = f" AS {columns}" if columns else ""
+1363            op_sql = self.seg(f"LATERAL VIEW{' OUTER' if expression.args.get('outer') else ''}")
+1364            return f"{op_sql}{self.sep()}{this}{table}{columns}"
+1365
+1366        alias = self.sql(expression, "alias")
+1367        alias = f" AS {alias}" if alias else ""
+1368        return f"LATERAL {this}{alias}"
 
    
 
 
@@ -8101,17 +8229,17 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1361    def limit_sql(self, expression: exp.Limit) -> str:
-1362        this = self.sql(expression, "this")
-1363        args = ", ".join(
-1364            sql
-1365            for sql in (
-1366                self.sql(expression, "offset"),
-1367                self.sql(expression, "expression"),
-1368            )
-1369            if sql
-1370        )
-1371        return f"{this}{self.seg('LIMIT')} {args}"
+            
    1370    def limit_sql(self, expression: exp.Limit) -> str:
+1371        this = self.sql(expression, "this")
+1372        args = ", ".join(
+1373            sql
+1374            for sql in (
+1375                self.sql(expression, "offset"),
+1376                self.sql(expression, "expression"),
+1377            )
+1378            if sql
+1379        )
+1380        return f"{this}{self.seg('LIMIT')} {args}"
 
    
 
 
@@ -8129,9 +8257,9 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1373    def offset_sql(self, expression: exp.Offset) -> str:
-1374        this = self.sql(expression, "this")
-1375        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
+            
    1382    def offset_sql(self, expression: exp.Offset) -> str:
+1383        this = self.sql(expression, "this")
+1384        return f"{this}{self.seg('OFFSET')} {self.sql(expression, 'expression')}"
 
    
 
 
@@ -8149,15 +8277,15 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1377    def setitem_sql(self, expression: exp.SetItem) -> str:
-1378        kind = self.sql(expression, "kind")
-1379        kind = f"{kind} " if kind else ""
-1380        this = self.sql(expression, "this")
-1381        expressions = self.expressions(expression)
-1382        collate = self.sql(expression, "collate")
-1383        collate = f" COLLATE {collate}" if collate else ""
-1384        global_ = "GLOBAL " if expression.args.get("global") else ""
-1385        return f"{global_}{kind}{this}{expressions}{collate}"
+            
    1386    def setitem_sql(self, expression: exp.SetItem) -> str:
+1387        kind = self.sql(expression, "kind")
+1388        kind = f"{kind} " if kind else ""
+1389        this = self.sql(expression, "this")
+1390        expressions = self.expressions(expression)
+1391        collate = self.sql(expression, "collate")
+1392        collate = f" COLLATE {collate}" if collate else ""
+1393        global_ = "GLOBAL " if expression.args.get("global") else ""
+1394        return f"{global_}{kind}{this}{expressions}{collate}"
 
    
 
 
@@ -8175,11 +8303,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1387    def set_sql(self, expression: exp.Set) -> str:
-1388        expressions = (
-1389            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
-1390        )
-1391        return f"SET{expressions}"
+            
    1396    def set_sql(self, expression: exp.Set) -> str:
+1397        expressions = (
+1398            f" {self.expressions(expression, flat=True)}" if expression.expressions else ""
+1399        )
+1400        return f"SET{expressions}"
 
    
 
 
@@ -8197,8 +8325,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1393    def pragma_sql(self, expression: exp.Pragma) -> str:
-1394        return f"PRAGMA {self.sql(expression, 'this')}"
+            
    1402    def pragma_sql(self, expression: exp.Pragma) -> str:
+1403        return f"PRAGMA {self.sql(expression, 'this')}"
 
    
 
 
@@ -8216,23 +8344,23 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1396    def lock_sql(self, expression: exp.Lock) -> str:
-1397        if not self.LOCKING_READS_SUPPORTED:
-1398            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
-1399            return ""
-1400
-1401        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
-1402        expressions = self.expressions(expression, flat=True)
-1403        expressions = f" OF {expressions}" if expressions else ""
-1404        wait = expression.args.get("wait")
-1405
-1406        if wait is not None:
-1407            if isinstance(wait, exp.Literal):
-1408                wait = f" WAIT {self.sql(wait)}"
-1409            else:
-1410                wait = " NOWAIT" if wait else " SKIP LOCKED"
-1411
-1412        return f"{lock_type}{expressions}{wait or ''}"
+            
    1405    def lock_sql(self, expression: exp.Lock) -> str:
+1406        if not self.LOCKING_READS_SUPPORTED:
+1407            self.unsupported("Locking reads using 'FOR UPDATE/SHARE' are not supported")
+1408            return ""
+1409
+1410        lock_type = "FOR UPDATE" if expression.args["update"] else "FOR SHARE"
+1411        expressions = self.expressions(expression, flat=True)
+1412        expressions = f" OF {expressions}" if expressions else ""
+1413        wait = expression.args.get("wait")
+1414
+1415        if wait is not None:
+1416            if isinstance(wait, exp.Literal):
+1417                wait = f" WAIT {self.sql(wait)}"
+1418            else:
+1419                wait = " NOWAIT" if wait else " SKIP LOCKED"
+1420
+1421        return f"{lock_type}{expressions}{wait or ''}"
 
    
 
 
@@ -8250,14 +8378,33 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1414    def literal_sql(self, expression: exp.Literal) -> str:
-1415        text = expression.this or ""
-1416        if expression.is_string:
-1417            text = text.replace(self.QUOTE_END, self._escaped_quote_end)
-1418            if self.pretty:
-1419                text = text.replace("\n", self.SENTINEL_LINE_BREAK)
-1420            text = f"{self.QUOTE_START}{text}{self.QUOTE_END}"
-1421        return text
+            
    1423    def literal_sql(self, expression: exp.Literal) -> str:
+1424        text = expression.this or ""
+1425        if expression.is_string:
+1426            text = f"{self.QUOTE_START}{self.escape_str(text)}{self.QUOTE_END}"
+1427        return text
+
    
+
+
+    
+
+
    +
    + +
    + + def + escape_str(self, text: str) -> str: + + + +
    + + 
    1429    def escape_str(self, text: str) -> str:
+1430        text = text.replace(self.QUOTE_END, self._escaped_quote_end)
+1431        if self.pretty:
+1432            text = text.replace("\n", self.SENTINEL_LINE_BREAK)
+1433        return text
    @@ -8275,18 +8422,18 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1423    def loaddata_sql(self, expression: exp.LoadData) -> str:
-1424        local = " LOCAL" if expression.args.get("local") else ""
-1425        inpath = f" INPATH {self.sql(expression, 'inpath')}"
-1426        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
-1427        this = f" INTO TABLE {self.sql(expression, 'this')}"
-1428        partition = self.sql(expression, "partition")
-1429        partition = f" {partition}" if partition else ""
-1430        input_format = self.sql(expression, "input_format")
-1431        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
-1432        serde = self.sql(expression, "serde")
-1433        serde = f" SERDE {serde}" if serde else ""
-1434        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
+            
    1435    def loaddata_sql(self, expression: exp.LoadData) -> str:
+1436        local = " LOCAL" if expression.args.get("local") else ""
+1437        inpath = f" INPATH {self.sql(expression, 'inpath')}"
+1438        overwrite = " OVERWRITE" if expression.args.get("overwrite") else ""
+1439        this = f" INTO TABLE {self.sql(expression, 'this')}"
+1440        partition = self.sql(expression, "partition")
+1441        partition = f" {partition}" if partition else ""
+1442        input_format = self.sql(expression, "input_format")
+1443        input_format = f" INPUTFORMAT {input_format}" if input_format else ""
+1444        serde = self.sql(expression, "serde")
+1445        serde = f" SERDE {serde}" if serde else ""
+1446        return f"LOAD DATA{local}{inpath}{overwrite}{this}{partition}{input_format}{serde}"
 
    
 
 
@@ -8304,8 +8451,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1436    def null_sql(self, *_) -> str:
-1437        return "NULL"
+            
    1448    def null_sql(self, *_) -> str:
+1449        return "NULL"
 
    
 
 
@@ -8323,8 +8470,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1439    def boolean_sql(self, expression: exp.Boolean) -> str:
-1440        return "TRUE" if expression.this else "FALSE"
+            
    1451    def boolean_sql(self, expression: exp.Boolean) -> str:
+1452        return "TRUE" if expression.this else "FALSE"
 
    
 
 
@@ -8342,10 +8489,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1442    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
-1443        this = self.sql(expression, "this")
-1444        this = f"{this} " if this else this
-1445        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
+            
    1454    def order_sql(self, expression: exp.Order, flat: bool = False) -> str:
+1455        this = self.sql(expression, "this")
+1456        this = f"{this} " if this else this
+1457        return self.op_expressions(f"{this}ORDER BY", expression, flat=this or flat)  # type: ignore
 
    
 
 
@@ -8363,8 +8510,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1447    def cluster_sql(self, expression: exp.Cluster) -> str:
-1448        return self.op_expressions("CLUSTER BY", expression)
+            
    1459    def cluster_sql(self, expression: exp.Cluster) -> str:
+1460        return self.op_expressions("CLUSTER BY", expression)
 
    
 
 
@@ -8382,8 +8529,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1450    def distribute_sql(self, expression: exp.Distribute) -> str:
-1451        return self.op_expressions("DISTRIBUTE BY", expression)
+            
    1462    def distribute_sql(self, expression: exp.Distribute) -> str:
+1463        return self.op_expressions("DISTRIBUTE BY", expression)
 
    
 
 
@@ -8401,8 +8548,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1453    def sort_sql(self, expression: exp.Sort) -> str:
-1454        return self.op_expressions("SORT BY", expression)
+            
    1465    def sort_sql(self, expression: exp.Sort) -> str:
+1466        return self.op_expressions("SORT BY", expression)
 
    
 
 
@@ -8420,36 +8567,36 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1456    def ordered_sql(self, expression: exp.Ordered) -> str:
-1457        desc = expression.args.get("desc")
-1458        asc = not desc
-1459
-1460        nulls_first = expression.args.get("nulls_first")
-1461        nulls_last = not nulls_first
-1462        nulls_are_large = self.NULL_ORDERING == "nulls_are_large"
-1463        nulls_are_small = self.NULL_ORDERING == "nulls_are_small"
-1464        nulls_are_last = self.NULL_ORDERING == "nulls_are_last"
-1465
-1466        sort_order = " DESC" if desc else ""
-1467        nulls_sort_change = ""
-1468        if nulls_first and (
-1469            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
-1470        ):
-1471            nulls_sort_change = " NULLS FIRST"
-1472        elif (
-1473            nulls_last
-1474            and ((asc and nulls_are_small) or (desc and nulls_are_large))
-1475            and not nulls_are_last
-1476        ):
-1477            nulls_sort_change = " NULLS LAST"
-1478
-1479        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
-1480            self.unsupported(
-1481                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
-1482            )
-1483            nulls_sort_change = ""
-1484
-1485        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
+            
    1468    def ordered_sql(self, expression: exp.Ordered) -> str:
+1469        desc = expression.args.get("desc")
+1470        asc = not desc
+1471
+1472        nulls_first = expression.args.get("nulls_first")
+1473        nulls_last = not nulls_first
+1474        nulls_are_large = self.NULL_ORDERING == "nulls_are_large"
+1475        nulls_are_small = self.NULL_ORDERING == "nulls_are_small"
+1476        nulls_are_last = self.NULL_ORDERING == "nulls_are_last"
+1477
+1478        sort_order = " DESC" if desc else ""
+1479        nulls_sort_change = ""
+1480        if nulls_first and (
+1481            (asc and nulls_are_large) or (desc and nulls_are_small) or nulls_are_last
+1482        ):
+1483            nulls_sort_change = " NULLS FIRST"
+1484        elif (
+1485            nulls_last
+1486            and ((asc and nulls_are_small) or (desc and nulls_are_large))
+1487            and not nulls_are_last
+1488        ):
+1489            nulls_sort_change = " NULLS LAST"
+1490
+1491        if nulls_sort_change and not self.NULL_ORDERING_SUPPORTED:
+1492            self.unsupported(
+1493                "Sorting in an ORDER BY on NULLS FIRST/NULLS LAST is not supported by this dialect"
+1494            )
+1495            nulls_sort_change = ""
+1496
+1497        return f"{self.sql(expression, 'this')}{sort_order}{nulls_sort_change}"
 
    
 
 
@@ -8467,37 +8614,37 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1487    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
-1488        partition = self.partition_by_sql(expression)
-1489        order = self.sql(expression, "order")
-1490        measures = self.expressions(expression, key="measures")
-1491        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
-1492        rows = self.sql(expression, "rows")
-1493        rows = self.seg(rows) if rows else ""
-1494        after = self.sql(expression, "after")
-1495        after = self.seg(after) if after else ""
-1496        pattern = self.sql(expression, "pattern")
-1497        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
-1498        definition_sqls = [
-1499            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
-1500            for definition in expression.args.get("define", [])
-1501        ]
-1502        definitions = self.expressions(sqls=definition_sqls)
-1503        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
-1504        body = "".join(
-1505            (
-1506                partition,
-1507                order,
-1508                measures,
-1509                rows,
-1510                after,
-1511                pattern,
-1512                define,
-1513            )
-1514        )
-1515        alias = self.sql(expression, "alias")
-1516        alias = f" {alias}" if alias else ""
-1517        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
+            
    1499    def matchrecognize_sql(self, expression: exp.MatchRecognize) -> str:
+1500        partition = self.partition_by_sql(expression)
+1501        order = self.sql(expression, "order")
+1502        measures = self.expressions(expression, key="measures")
+1503        measures = self.seg(f"MEASURES{self.seg(measures)}") if measures else ""
+1504        rows = self.sql(expression, "rows")
+1505        rows = self.seg(rows) if rows else ""
+1506        after = self.sql(expression, "after")
+1507        after = self.seg(after) if after else ""
+1508        pattern = self.sql(expression, "pattern")
+1509        pattern = self.seg(f"PATTERN ({pattern})") if pattern else ""
+1510        definition_sqls = [
+1511            f"{self.sql(definition, 'alias')} AS {self.sql(definition, 'this')}"
+1512            for definition in expression.args.get("define", [])
+1513        ]
+1514        definitions = self.expressions(sqls=definition_sqls)
+1515        define = self.seg(f"DEFINE{self.seg(definitions)}") if definitions else ""
+1516        body = "".join(
+1517            (
+1518                partition,
+1519                order,
+1520                measures,
+1521                rows,
+1522                after,
+1523                pattern,
+1524                define,
+1525            )
+1526        )
+1527        alias = self.sql(expression, "alias")
+1528        alias = f" {alias}" if alias else ""
+1529        return f"{self.seg('MATCH_RECOGNIZE')} {self.wrap(body)}{alias}"
 
    
 
 
@@ -8515,30 +8662,30 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1519    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
-1520        limit: t.Optional[exp.Fetch | exp.Limit] = expression.args.get("limit")
-1521
-1522        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
-1523            limit = exp.Limit(expression=limit.args.get("count"))
-1524        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
-1525            limit = exp.Fetch(direction="FIRST", count=limit.expression)
-1526
-1527        fetch = isinstance(limit, exp.Fetch)
-1528
-1529        return csv(
-1530            *sqls,
-1531            *[self.sql(join) for join in expression.args.get("joins") or []],
-1532            self.sql(expression, "match"),
-1533            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
-1534            self.sql(expression, "where"),
-1535            self.sql(expression, "group"),
-1536            self.sql(expression, "having"),
-1537            *self.after_having_modifiers(expression),
-1538            self.sql(expression, "order"),
-1539            *self.offset_limit_modifiers(expression, fetch, limit),
-1540            *self.after_limit_modifiers(expression),
-1541            sep="",
-1542        )
+            
    1531    def query_modifiers(self, expression: exp.Expression, *sqls: str) -> str:
+1532        limit: t.Optional[exp.Fetch | exp.Limit] = expression.args.get("limit")
+1533
+1534        if self.LIMIT_FETCH == "LIMIT" and isinstance(limit, exp.Fetch):
+1535            limit = exp.Limit(expression=limit.args.get("count"))
+1536        elif self.LIMIT_FETCH == "FETCH" and isinstance(limit, exp.Limit):
+1537            limit = exp.Fetch(direction="FIRST", count=limit.expression)
+1538
+1539        fetch = isinstance(limit, exp.Fetch)
+1540
+1541        return csv(
+1542            *sqls,
+1543            *[self.sql(join) for join in expression.args.get("joins") or []],
+1544            self.sql(expression, "match"),
+1545            *[self.sql(lateral) for lateral in expression.args.get("laterals") or []],
+1546            self.sql(expression, "where"),
+1547            self.sql(expression, "group"),
+1548            self.sql(expression, "having"),
+1549            *self.after_having_modifiers(expression),
+1550            self.sql(expression, "order"),
+1551            *self.offset_limit_modifiers(expression, fetch, limit),
+1552            *self.after_limit_modifiers(expression),
+1553            sep="",
+1554        )
 
    
 
 
@@ -8556,13 +8703,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1544    def offset_limit_modifiers(
-1545        self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
-1546    ) -> t.List[str]:
-1547        return [
-1548            self.sql(expression, "offset") if fetch else self.sql(limit),
-1549            self.sql(limit) if fetch else self.sql(expression, "offset"),
-1550        ]
+            
    1556    def offset_limit_modifiers(
+1557        self, expression: exp.Expression, fetch: bool, limit: t.Optional[exp.Fetch | exp.Limit]
+1558    ) -> t.List[str]:
+1559        return [
+1560            self.sql(expression, "offset") if fetch else self.sql(limit),
+1561            self.sql(limit) if fetch else self.sql(expression, "offset"),
+1562        ]
 
    
 
 
@@ -8580,13 +8727,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1552    def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
-1553        return [
-1554            self.sql(expression, "qualify"),
-1555            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
-1556            if expression.args.get("windows")
-1557            else "",
-1558        ]
+            
    1564    def after_having_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1565        return [
+1566            self.sql(expression, "qualify"),
+1567            self.seg("WINDOW ") + self.expressions(expression, key="windows", flat=True)
+1568            if expression.args.get("windows")
+1569            else "",
+1570        ]
 
    
 
 
@@ -8604,10 +8751,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1560    def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
-1561        locks = self.expressions(expression, key="locks", sep=" ")
-1562        locks = f" {locks}" if locks else ""
-1563        return [locks, self.sql(expression, "sample")]
+            
    1572    def after_limit_modifiers(self, expression: exp.Expression) -> t.List[str]:
+1573        locks = self.expressions(expression, key="locks", sep=" ")
+1574        locks = f" {locks}" if locks else ""
+1575        return [locks, self.sql(expression, "sample")]
 
    
 
 
@@ -8625,21 +8772,42 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1565    def select_sql(self, expression: exp.Select) -> str:
-1566        hint = self.sql(expression, "hint")
-1567        distinct = self.sql(expression, "distinct")
-1568        distinct = f" {distinct}" if distinct else ""
-1569        kind = expression.args.get("kind")
-1570        kind = f" AS {kind}" if kind else ""
-1571        expressions = self.expressions(expression)
-1572        expressions = f"{self.sep()}{expressions}" if expressions else expressions
-1573        sql = self.query_modifiers(
-1574            expression,
-1575            f"SELECT{hint}{distinct}{kind}{expressions}",
-1576            self.sql(expression, "into", comment=False),
-1577            self.sql(expression, "from", comment=False),
-1578        )
-1579        return self.prepend_ctes(expression, sql)
+            
    1577    def select_sql(self, expression: exp.Select) -> str:
+1578        hint = self.sql(expression, "hint")
+1579        distinct = self.sql(expression, "distinct")
+1580        distinct = f" {distinct}" if distinct else ""
+1581        kind = self.sql(expression, "kind").upper()
+1582        expressions = self.expressions(expression)
+1583
+1584        if kind:
+1585            if kind in self.SELECT_KINDS:
+1586                kind = f" AS {kind}"
+1587            else:
+1588                if kind == "STRUCT":
+1589                    expressions = self.expressions(
+1590                        sqls=[
+1591                            self.sql(
+1592                                exp.Struct(
+1593                                    expressions=[
+1594                                        exp.column(e.output_name).eq(
+1595                                            e.this if isinstance(e, exp.Alias) else e
+1596                                        )
+1597                                        for e in expression.expressions
+1598                                    ]
+1599                                )
+1600                            )
+1601                        ]
+1602                    )
+1603                kind = ""
+1604
+1605        expressions = f"{self.sep()}{expressions}" if expressions else expressions
+1606        sql = self.query_modifiers(
+1607            expression,
+1608            f"SELECT{hint}{distinct}{kind}{expressions}",
+1609            self.sql(expression, "into", comment=False),
+1610            self.sql(expression, "from", comment=False),
+1611        )
+1612        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -8657,11 +8825,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1581    def schema_sql(self, expression: exp.Schema) -> str:
-1582        this = self.sql(expression, "this")
-1583        this = f"{this} " if this else ""
-1584        sql = self.schema_columns_sql(expression)
-1585        return f"{this}{sql}"
+            
    1614    def schema_sql(self, expression: exp.Schema) -> str:
+1615        this = self.sql(expression, "this")
+1616        this = f"{this} " if this else ""
+1617        sql = self.schema_columns_sql(expression)
+1618        return f"{this}{sql}"
 
    
 
 
@@ -8679,8 +8847,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1587    def schema_columns_sql(self, expression: exp.Schema) -> str:
-1588        return f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
+            
    1620    def schema_columns_sql(self, expression: exp.Schema) -> str:
+1621        return f"({self.sep('')}{self.expressions(expression)}{self.seg(')', sep='')}"
 
    
 
 
@@ -8698,12 +8866,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1590    def star_sql(self, expression: exp.Star) -> str:
-1591        except_ = self.expressions(expression, key="except", flat=True)
-1592        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
-1593        replace = self.expressions(expression, key="replace", flat=True)
-1594        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
-1595        return f"*{except_}{replace}"
+            
    1623    def star_sql(self, expression: exp.Star) -> str:
+1624        except_ = self.expressions(expression, key="except", flat=True)
+1625        except_ = f"{self.seg(self.STAR_MAPPING['except'])} ({except_})" if except_ else ""
+1626        replace = self.expressions(expression, key="replace", flat=True)
+1627        replace = f"{self.seg(self.STAR_MAPPING['replace'])} ({replace})" if replace else ""
+1628        return f"*{except_}{replace}"
 
    
 
 
@@ -8721,10 +8889,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1597    def parameter_sql(self, expression: exp.Parameter) -> str:
-1598        this = self.sql(expression, "this")
-1599        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
-1600        return f"{self.PARAMETER_TOKEN}{this}"
+            
    1630    def parameter_sql(self, expression: exp.Parameter) -> str:
+1631        this = self.sql(expression, "this")
+1632        this = f"{{{this}}}" if expression.args.get("wrapped") else f"{this}"
+1633        return f"{self.PARAMETER_TOKEN}{this}"
 
    
 
 
@@ -8742,12 +8910,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1602    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
-1603        this = self.sql(expression, "this")
-1604        kind = expression.text("kind")
-1605        if kind:
-1606            kind = f"{kind}."
-1607        return f"@@{kind}{this}"
+            
    1635    def sessionparameter_sql(self, expression: exp.SessionParameter) -> str:
+1636        this = self.sql(expression, "this")
+1637        kind = expression.text("kind")
+1638        if kind:
+1639            kind = f"{kind}."
+1640        return f"@@{kind}{this}"
 
    
 
 
@@ -8765,8 +8933,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1609    def placeholder_sql(self, expression: exp.Placeholder) -> str:
-1610        return f":{expression.name}" if expression.name else "?"
+            
    1642    def placeholder_sql(self, expression: exp.Placeholder) -> str:
+1643        return f":{expression.name}" if expression.name else "?"
 
    
 
 
@@ -8784,15 +8952,15 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1612    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
-1613        alias = self.sql(expression, "alias")
-1614        alias = f"{sep}{alias}" if alias else ""
-1615
-1616        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
-1617        pivots = f" {pivots}" if pivots else ""
-1618
-1619        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
-1620        return self.prepend_ctes(expression, sql)
+            
    1645    def subquery_sql(self, expression: exp.Subquery, sep: str = " AS ") -> str:
+1646        alias = self.sql(expression, "alias")
+1647        alias = f"{sep}{alias}" if alias else ""
+1648
+1649        pivots = self.expressions(expression, key="pivots", sep=" ", flat=True)
+1650        pivots = f" {pivots}" if pivots else ""
+1651
+1652        sql = self.query_modifiers(expression, self.wrap(expression), alias, pivots)
+1653        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -8810,9 +8978,9 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1622    def qualify_sql(self, expression: exp.Qualify) -> str:
-1623        this = self.indent(self.sql(expression, "this"))
-1624        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
+            
    1655    def qualify_sql(self, expression: exp.Qualify) -> str:
+1656        this = self.indent(self.sql(expression, "this"))
+1657        return f"{self.seg('QUALIFY')}{self.sep()}{this}"
 
    
 
 
@@ -8830,11 +8998,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1626    def union_sql(self, expression: exp.Union) -> str:
-1627        return self.prepend_ctes(
-1628            expression,
-1629            self.set_operation(expression, self.union_op(expression)),
-1630        )
+            
    1659    def union_sql(self, expression: exp.Union) -> str:
+1660        return self.prepend_ctes(
+1661            expression,
+1662            self.set_operation(expression, self.union_op(expression)),
+1663        )
 
    
 
 
@@ -8852,10 +9020,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1632    def union_op(self, expression: exp.Union) -> str:
-1633        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
-1634        kind = kind if expression.args.get("distinct") else " ALL"
-1635        return f"UNION{kind}"
+            
    1665    def union_op(self, expression: exp.Union) -> str:
+1666        kind = " DISTINCT" if self.EXPLICIT_UNION else ""
+1667        kind = kind if expression.args.get("distinct") else " ALL"
+1668        return f"UNION{kind}"
 
    
 
 
@@ -8873,19 +9041,19 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1637    def unnest_sql(self, expression: exp.Unnest) -> str:
-1638        args = self.expressions(expression, flat=True)
-1639        alias = expression.args.get("alias")
-1640        if alias and self.UNNEST_COLUMN_ONLY:
-1641            columns = alias.columns
-1642            alias = self.sql(columns[0]) if columns else ""
-1643        else:
-1644            alias = self.sql(expression, "alias")
-1645        alias = f" AS {alias}" if alias else alias
-1646        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
-1647        offset = expression.args.get("offset")
-1648        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
-1649        return f"UNNEST({args}){ordinality}{alias}{offset}"
+            
    1670    def unnest_sql(self, expression: exp.Unnest) -> str:
+1671        args = self.expressions(expression, flat=True)
+1672        alias = expression.args.get("alias")
+1673        if alias and self.UNNEST_COLUMN_ONLY:
+1674            columns = alias.columns
+1675            alias = self.sql(columns[0]) if columns else ""
+1676        else:
+1677            alias = self.sql(expression, "alias")
+1678        alias = f" AS {alias}" if alias else alias
+1679        ordinality = " WITH ORDINALITY" if expression.args.get("ordinality") else ""
+1680        offset = expression.args.get("offset")
+1681        offset = f" WITH OFFSET AS {self.sql(offset)}" if offset else ""
+1682        return f"UNNEST({args}){ordinality}{alias}{offset}"
 
    
 
 
@@ -8903,9 +9071,9 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1651    def where_sql(self, expression: exp.Where) -> str:
-1652        this = self.indent(self.sql(expression, "this"))
-1653        return f"{self.seg('WHERE')}{self.sep()}{this}"
+            
    1684    def where_sql(self, expression: exp.Where) -> str:
+1685        this = self.indent(self.sql(expression, "this"))
+1686        return f"{self.seg('WHERE')}{self.sep()}{this}"
 
    
 
 
@@ -8923,28 +9091,28 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1655    def window_sql(self, expression: exp.Window) -> str:
-1656        this = self.sql(expression, "this")
-1657        partition = self.partition_by_sql(expression)
-1658        order = expression.args.get("order")
-1659        order = self.order_sql(order, flat=True) if order else ""
-1660        spec = self.sql(expression, "spec")
-1661        alias = self.sql(expression, "alias")
-1662        over = self.sql(expression, "over") or "OVER"
-1663
-1664        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
-1665
-1666        first = expression.args.get("first")
-1667        if first is None:
-1668            first = ""
-1669        else:
-1670            first = "FIRST" if first else "LAST"
-1671
-1672        if not partition and not order and not spec and alias:
-1673            return f"{this} {alias}"
-1674
-1675        args = " ".join(arg for arg in (alias, first, partition, order, spec) if arg)
-1676        return f"{this} ({args})"
+            
    1688    def window_sql(self, expression: exp.Window) -> str:
+1689        this = self.sql(expression, "this")
+1690        partition = self.partition_by_sql(expression)
+1691        order = expression.args.get("order")
+1692        order = self.order_sql(order, flat=True) if order else ""
+1693        spec = self.sql(expression, "spec")
+1694        alias = self.sql(expression, "alias")
+1695        over = self.sql(expression, "over") or "OVER"
+1696
+1697        this = f"{this} {'AS' if expression.arg_key == 'windows' else over}"
+1698
+1699        first = expression.args.get("first")
+1700        if first is None:
+1701            first = ""
+1702        else:
+1703            first = "FIRST" if first else "LAST"
+1704
+1705        if not partition and not order and not spec and alias:
+1706            return f"{this} {alias}"
+1707
+1708        args = " ".join(arg for arg in (alias, first, partition, order, spec) if arg)
+1709        return f"{this} ({args})"
 
    
 
 
@@ -8962,9 +9130,9 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1678    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
-1679        partition = self.expressions(expression, key="partition_by", flat=True)
-1680        return f"PARTITION BY {partition}" if partition else ""
+            
    1711    def partition_by_sql(self, expression: exp.Window | exp.MatchRecognize) -> str:
+1712        partition = self.expressions(expression, key="partition_by", flat=True)
+1713        return f"PARTITION BY {partition}" if partition else ""
 
    
 
 
@@ -8982,14 +9150,14 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1682    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
-1683        kind = self.sql(expression, "kind")
-1684        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
-1685        end = (
-1686            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
-1687            or "CURRENT ROW"
-1688        )
-1689        return f"{kind} BETWEEN {start} AND {end}"
+            
    1715    def windowspec_sql(self, expression: exp.WindowSpec) -> str:
+1716        kind = self.sql(expression, "kind")
+1717        start = csv(self.sql(expression, "start"), self.sql(expression, "start_side"), sep=" ")
+1718        end = (
+1719            csv(self.sql(expression, "end"), self.sql(expression, "end_side"), sep=" ")
+1720            or "CURRENT ROW"
+1721        )
+1722        return f"{kind} BETWEEN {start} AND {end}"
 
    
 
 
@@ -9007,10 +9175,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1691    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
-1692        this = self.sql(expression, "this")
-1693        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
-1694        return f"{this} WITHIN GROUP ({expression_sql})"
+            
    1724    def withingroup_sql(self, expression: exp.WithinGroup) -> str:
+1725        this = self.sql(expression, "this")
+1726        expression_sql = self.sql(expression, "expression")[1:]  # order has a leading space
+1727        return f"{this} WITHIN GROUP ({expression_sql})"
 
    
 
 
@@ -9028,11 +9196,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1696    def between_sql(self, expression: exp.Between) -> str:
-1697        this = self.sql(expression, "this")
-1698        low = self.sql(expression, "low")
-1699        high = self.sql(expression, "high")
-1700        return f"{this} BETWEEN {low} AND {high}"
+            
    1729    def between_sql(self, expression: exp.Between) -> str:
+1730        this = self.sql(expression, "this")
+1731        low = self.sql(expression, "low")
+1732        high = self.sql(expression, "high")
+1733        return f"{this} BETWEEN {low} AND {high}"
 
    
 
 
@@ -9050,11 +9218,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1702    def bracket_sql(self, expression: exp.Bracket) -> str:
-1703        expressions = apply_index_offset(expression.this, expression.expressions, self.INDEX_OFFSET)
-1704        expressions_sql = ", ".join(self.sql(e) for e in expressions)
-1705
-1706        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
+            
    1735    def bracket_sql(self, expression: exp.Bracket) -> str:
+1736        expressions = apply_index_offset(expression.this, expression.expressions, self.INDEX_OFFSET)
+1737        expressions_sql = ", ".join(self.sql(e) for e in expressions)
+1738
+1739        return f"{self.sql(expression, 'this')}[{expressions_sql}]"
 
    
 
 
@@ -9072,8 +9240,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1708    def all_sql(self, expression: exp.All) -> str:
-1709        return f"ALL {self.wrap(expression)}"
+            
    1741    def all_sql(self, expression: exp.All) -> str:
+1742        return f"ALL {self.wrap(expression)}"
 
    
 
 
@@ -9091,11 +9259,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1711    def any_sql(self, expression: exp.Any) -> str:
-1712        this = self.sql(expression, "this")
-1713        if isinstance(expression.this, exp.Subqueryable):
-1714            this = self.wrap(this)
-1715        return f"ANY {this}"
+            
    1744    def any_sql(self, expression: exp.Any) -> str:
+1745        this = self.sql(expression, "this")
+1746        if isinstance(expression.this, exp.Subqueryable):
+1747            this = self.wrap(this)
+1748        return f"ANY {this}"
 
    
 
 
@@ -9113,8 +9281,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1717    def exists_sql(self, expression: exp.Exists) -> str:
-1718        return f"EXISTS{self.wrap(expression)}"
+            
    1750    def exists_sql(self, expression: exp.Exists) -> str:
+1751        return f"EXISTS{self.wrap(expression)}"
 
    
 
 
@@ -9132,25 +9300,25 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1720    def case_sql(self, expression: exp.Case) -> str:
-1721        this = self.sql(expression, "this")
-1722        statements = [f"CASE {this}" if this else "CASE"]
-1723
-1724        for e in expression.args["ifs"]:
-1725            statements.append(f"WHEN {self.sql(e, 'this')}")
-1726            statements.append(f"THEN {self.sql(e, 'true')}")
-1727
-1728        default = self.sql(expression, "default")
-1729
-1730        if default:
-1731            statements.append(f"ELSE {default}")
-1732
-1733        statements.append("END")
-1734
-1735        if self.pretty and self.text_width(statements) > self.max_text_width:
-1736            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
-1737
-1738        return " ".join(statements)
+            
    1753    def case_sql(self, expression: exp.Case) -> str:
+1754        this = self.sql(expression, "this")
+1755        statements = [f"CASE {this}" if this else "CASE"]
+1756
+1757        for e in expression.args["ifs"]:
+1758            statements.append(f"WHEN {self.sql(e, 'this')}")
+1759            statements.append(f"THEN {self.sql(e, 'true')}")
+1760
+1761        default = self.sql(expression, "default")
+1762
+1763        if default:
+1764            statements.append(f"ELSE {default}")
+1765
+1766        statements.append("END")
+1767
+1768        if self.pretty and self.text_width(statements) > self.max_text_width:
+1769            return self.indent("\n".join(statements), skip_first=True, skip_last=True)
+1770
+1771        return " ".join(statements)
 
    
 
 
@@ -9168,10 +9336,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1740    def constraint_sql(self, expression: exp.Constraint) -> str:
-1741        this = self.sql(expression, "this")
-1742        expressions = self.expressions(expression, flat=True)
-1743        return f"CONSTRAINT {this} {expressions}"
+            
    1773    def constraint_sql(self, expression: exp.Constraint) -> str:
+1774        this = self.sql(expression, "this")
+1775        expressions = self.expressions(expression, flat=True)
+1776        return f"CONSTRAINT {this} {expressions}"
 
    
 
 
@@ -9189,10 +9357,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1745    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
-1746        order = expression.args.get("order")
-1747        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
-1748        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
+            
    1778    def nextvaluefor_sql(self, expression: exp.NextValueFor) -> str:
+1779        order = expression.args.get("order")
+1780        order = f" OVER ({self.order_sql(order, flat=True)})" if order else ""
+1781        return f"NEXT VALUE FOR {self.sql(expression, 'this')}{order}"
 
    
 
 
@@ -9210,10 +9378,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1750    def extract_sql(self, expression: exp.Extract) -> str:
-1751        this = self.sql(expression, "this")
-1752        expression_sql = self.sql(expression, "expression")
-1753        return f"EXTRACT({this} FROM {expression_sql})"
+            
    1783    def extract_sql(self, expression: exp.Extract) -> str:
+1784        this = self.sql(expression, "this")
+1785        expression_sql = self.sql(expression, "expression")
+1786        return f"EXTRACT({this} FROM {expression_sql})"
 
    
 
 
@@ -9231,15 +9399,15 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1755    def trim_sql(self, expression: exp.Trim) -> str:
-1756        trim_type = self.sql(expression, "position")
-1757
-1758        if trim_type == "LEADING":
-1759            return self.func("LTRIM", expression.this)
-1760        elif trim_type == "TRAILING":
-1761            return self.func("RTRIM", expression.this)
-1762        else:
-1763            return self.func("TRIM", expression.this, expression.expression)
+            
    1788    def trim_sql(self, expression: exp.Trim) -> str:
+1789        trim_type = self.sql(expression, "position")
+1790
+1791        if trim_type == "LEADING":
+1792            return self.func("LTRIM", expression.this)
+1793        elif trim_type == "TRAILING":
+1794            return self.func("RTRIM", expression.this)
+1795        else:
+1796            return self.func("TRIM", expression.this, expression.expression)
 
    
 
 
@@ -9257,11 +9425,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1765    def safeconcat_sql(self, expression: exp.SafeConcat) -> str:
-1766        expressions = expression.expressions
-1767        if self.STRICT_STRING_CONCAT:
-1768            expressions = (exp.cast(e, "text") for e in expressions)
-1769        return self.func("CONCAT", *expressions)
+            
    1798    def safeconcat_sql(self, expression: exp.SafeConcat) -> str:
+1799        expressions = expression.expressions
+1800        if self.STRICT_STRING_CONCAT:
+1801            expressions = (exp.cast(e, "text") for e in expressions)
+1802        return self.func("CONCAT", *expressions)
 
    
 
 
@@ -9279,9 +9447,9 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1771    def check_sql(self, expression: exp.Check) -> str:
-1772        this = self.sql(expression, key="this")
-1773        return f"CHECK ({this})"
+            
    1804    def check_sql(self, expression: exp.Check) -> str:
+1805        this = self.sql(expression, key="this")
+1806        return f"CHECK ({this})"
 
    
 
 
@@ -9299,15 +9467,15 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1775    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
-1776        expressions = self.expressions(expression, flat=True)
-1777        reference = self.sql(expression, "reference")
-1778        reference = f" {reference}" if reference else ""
-1779        delete = self.sql(expression, "delete")
-1780        delete = f" ON DELETE {delete}" if delete else ""
-1781        update = self.sql(expression, "update")
-1782        update = f" ON UPDATE {update}" if update else ""
-1783        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
+            
    1808    def foreignkey_sql(self, expression: exp.ForeignKey) -> str:
+1809        expressions = self.expressions(expression, flat=True)
+1810        reference = self.sql(expression, "reference")
+1811        reference = f" {reference}" if reference else ""
+1812        delete = self.sql(expression, "delete")
+1813        delete = f" ON DELETE {delete}" if delete else ""
+1814        update = self.sql(expression, "update")
+1815        update = f" ON UPDATE {update}" if update else ""
+1816        return f"FOREIGN KEY ({expressions}){reference}{delete}{update}"
 
    
 
 
@@ -9325,11 +9493,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1785    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
-1786        expressions = self.expressions(expression, flat=True)
-1787        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1788        options = f" {options}" if options else ""
-1789        return f"PRIMARY KEY ({expressions}){options}"
+            
    1818    def primarykey_sql(self, expression: exp.ForeignKey) -> str:
+1819        expressions = self.expressions(expression, flat=True)
+1820        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1821        options = f" {options}" if options else ""
+1822        return f"PRIMARY KEY ({expressions}){options}"
 
    
 
 
@@ -9347,8 +9515,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1791    def if_sql(self, expression: exp.If) -> str:
-1792        return self.case_sql(exp.Case(ifs=[expression], default=expression.args.get("false")))
+            
    1824    def if_sql(self, expression: exp.If) -> str:
+1825        return self.case_sql(exp.Case(ifs=[expression], default=expression.args.get("false")))
 
    
 
 
@@ -9366,10 +9534,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1794    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
-1795        modifier = expression.args.get("modifier")
-1796        modifier = f" {modifier}" if modifier else ""
-1797        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
+            
    1827    def matchagainst_sql(self, expression: exp.MatchAgainst) -> str:
+1828        modifier = expression.args.get("modifier")
+1829        modifier = f" {modifier}" if modifier else ""
+1830        return f"{self.func('MATCH', *expression.expressions)} AGAINST({self.sql(expression, 'this')}{modifier})"
 
    
 
 
@@ -9387,8 +9555,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1799    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
-1800        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
+            
    1832    def jsonkeyvalue_sql(self, expression: exp.JSONKeyValue) -> str:
+1833        return f"{self.sql(expression, 'this')}: {self.sql(expression, 'expression')}"
 
    
 
 
@@ -9406,24 +9574,24 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1802    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
-1803        null_handling = expression.args.get("null_handling")
-1804        null_handling = f" {null_handling}" if null_handling else ""
-1805        unique_keys = expression.args.get("unique_keys")
-1806        if unique_keys is not None:
-1807            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
-1808        else:
-1809            unique_keys = ""
-1810        return_type = self.sql(expression, "return_type")
-1811        return_type = f" RETURNING {return_type}" if return_type else ""
-1812        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
-1813        encoding = self.sql(expression, "encoding")
-1814        encoding = f" ENCODING {encoding}" if encoding else ""
-1815        return self.func(
-1816            "JSON_OBJECT",
-1817            *expression.expressions,
-1818            suffix=f"{null_handling}{unique_keys}{return_type}{format_json}{encoding})",
-1819        )
+            
    1835    def jsonobject_sql(self, expression: exp.JSONObject) -> str:
+1836        null_handling = expression.args.get("null_handling")
+1837        null_handling = f" {null_handling}" if null_handling else ""
+1838        unique_keys = expression.args.get("unique_keys")
+1839        if unique_keys is not None:
+1840            unique_keys = f" {'WITH' if unique_keys else 'WITHOUT'} UNIQUE KEYS"
+1841        else:
+1842            unique_keys = ""
+1843        return_type = self.sql(expression, "return_type")
+1844        return_type = f" RETURNING {return_type}" if return_type else ""
+1845        format_json = " FORMAT JSON" if expression.args.get("format_json") else ""
+1846        encoding = self.sql(expression, "encoding")
+1847        encoding = f" ENCODING {encoding}" if encoding else ""
+1848        return self.func(
+1849            "JSON_OBJECT",
+1850            *expression.expressions,
+1851            suffix=f"{null_handling}{unique_keys}{return_type}{format_json}{encoding})",
+1852        )
 
    
 
 
@@ -9441,13 +9609,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1821    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
-1822        this = self.sql(expression, "this")
-1823        kind = self.sql(expression, "kind")
-1824        path = self.sql(expression, "path")
-1825        path = f" {path}" if path else ""
-1826        as_json = " AS JSON" if expression.args.get("as_json") else ""
-1827        return f"{this} {kind}{path}{as_json}"
+            
    1854    def openjsoncolumndef_sql(self, expression: exp.OpenJSONColumnDef) -> str:
+1855        this = self.sql(expression, "this")
+1856        kind = self.sql(expression, "kind")
+1857        path = self.sql(expression, "path")
+1858        path = f" {path}" if path else ""
+1859        as_json = " AS JSON" if expression.args.get("as_json") else ""
+1860        return f"{this} {kind}{path}{as_json}"
 
    
 
 
@@ -9465,17 +9633,17 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1829    def openjson_sql(self, expression: exp.OpenJSON) -> str:
-1830        this = self.sql(expression, "this")
-1831        path = self.sql(expression, "path")
-1832        path = f", {path}" if path else ""
-1833        expressions = self.expressions(expression)
-1834        with_ = (
-1835            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
-1836            if expressions
-1837            else ""
-1838        )
-1839        return f"OPENJSON({this}{path}){with_}"
+            
    1862    def openjson_sql(self, expression: exp.OpenJSON) -> str:
+1863        this = self.sql(expression, "this")
+1864        path = self.sql(expression, "path")
+1865        path = f", {path}" if path else ""
+1866        expressions = self.expressions(expression)
+1867        with_ = (
+1868            f" WITH ({self.seg(self.indent(expressions), sep='')}{self.seg(')', sep='')}"
+1869            if expressions
+1870            else ""
+1871        )
+1872        return f"OPENJSON({this}{path}){with_}"
 
    
 
 
@@ -9493,22 +9661,22 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1841    def in_sql(self, expression: exp.In) -> str:
-1842        query = expression.args.get("query")
-1843        unnest = expression.args.get("unnest")
-1844        field = expression.args.get("field")
-1845        is_global = " GLOBAL" if expression.args.get("is_global") else ""
-1846
-1847        if query:
-1848            in_sql = self.wrap(query)
-1849        elif unnest:
-1850            in_sql = self.in_unnest_op(unnest)
-1851        elif field:
-1852            in_sql = self.sql(field)
-1853        else:
-1854            in_sql = f"({self.expressions(expression, flat=True)})"
-1855
-1856        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
+            
    1874    def in_sql(self, expression: exp.In) -> str:
+1875        query = expression.args.get("query")
+1876        unnest = expression.args.get("unnest")
+1877        field = expression.args.get("field")
+1878        is_global = " GLOBAL" if expression.args.get("is_global") else ""
+1879
+1880        if query:
+1881            in_sql = self.wrap(query)
+1882        elif unnest:
+1883            in_sql = self.in_unnest_op(unnest)
+1884        elif field:
+1885            in_sql = self.sql(field)
+1886        else:
+1887            in_sql = f"({self.expressions(expression, flat=True)})"
+1888
+1889        return f"{self.sql(expression, 'this')}{is_global} IN {in_sql}"
 
    
 
 
@@ -9526,8 +9694,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1858    def in_unnest_op(self, unnest: exp.Unnest) -> str:
-1859        return f"(SELECT {self.sql(unnest)})"
+            
    1891    def in_unnest_op(self, unnest: exp.Unnest) -> str:
+1892        return f"(SELECT {self.sql(unnest)})"
 
    
 
 
@@ -9545,22 +9713,22 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1861    def interval_sql(self, expression: exp.Interval) -> str:
-1862        unit = self.sql(expression, "unit")
-1863        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
-1864            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
-1865        unit = f" {unit}" if unit else ""
-1866
-1867        if self.SINGLE_STRING_INTERVAL:
-1868            this = expression.this.name if expression.this else ""
-1869            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
-1870
-1871        this = self.sql(expression, "this")
-1872        if this:
-1873            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
-1874            this = f" {this}" if unwrapped else f" ({this})"
-1875
-1876        return f"INTERVAL{this}{unit}"
+            
    1894    def interval_sql(self, expression: exp.Interval) -> str:
+1895        unit = self.sql(expression, "unit")
+1896        if not self.INTERVAL_ALLOWS_PLURAL_FORM:
+1897            unit = self.TIME_PART_SINGULARS.get(unit.lower(), unit)
+1898        unit = f" {unit}" if unit else ""
+1899
+1900        if self.SINGLE_STRING_INTERVAL:
+1901            this = expression.this.name if expression.this else ""
+1902            return f"INTERVAL '{this}{unit}'" if this else f"INTERVAL{unit}"
+1903
+1904        this = self.sql(expression, "this")
+1905        if this:
+1906            unwrapped = isinstance(expression.this, self.UNWRAPPED_INTERVAL_VALUES)
+1907            this = f" {this}" if unwrapped else f" ({this})"
+1908
+1909        return f"INTERVAL{this}{unit}"
 
    
 
 
@@ -9578,8 +9746,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1878    def return_sql(self, expression: exp.Return) -> str:
-1879        return f"RETURN {self.sql(expression, 'this')}"
+            
    1911    def return_sql(self, expression: exp.Return) -> str:
+1912        return f"RETURN {self.sql(expression, 'this')}"
 
    
 
 
@@ -9597,13 +9765,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1881    def reference_sql(self, expression: exp.Reference) -> str:
-1882        this = self.sql(expression, "this")
-1883        expressions = self.expressions(expression, flat=True)
-1884        expressions = f"({expressions})" if expressions else ""
-1885        options = self.expressions(expression, key="options", flat=True, sep=" ")
-1886        options = f" {options}" if options else ""
-1887        return f"REFERENCES {this}{expressions}{options}"
+            
    1914    def reference_sql(self, expression: exp.Reference) -> str:
+1915        this = self.sql(expression, "this")
+1916        expressions = self.expressions(expression, flat=True)
+1917        expressions = f"({expressions})" if expressions else ""
+1918        options = self.expressions(expression, key="options", flat=True, sep=" ")
+1919        options = f" {options}" if options else ""
+1920        return f"REFERENCES {this}{expressions}{options}"
 
    
 
 
@@ -9621,8 +9789,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1889    def anonymous_sql(self, expression: exp.Anonymous) -> str:
-1890        return self.func(expression.name, *expression.expressions)
+            
    1922    def anonymous_sql(self, expression: exp.Anonymous) -> str:
+1923        return self.func(expression.name, *expression.expressions)
 
    
 
 
@@ -9640,14 +9808,14 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1892    def paren_sql(self, expression: exp.Paren) -> str:
-1893        if isinstance(expression.unnest(), exp.Select):
-1894            sql = self.wrap(expression)
-1895        else:
-1896            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
-1897            sql = f"({sql}{self.seg(')', sep='')}"
-1898
-1899        return self.prepend_ctes(expression, sql)
+            
    1925    def paren_sql(self, expression: exp.Paren) -> str:
+1926        if isinstance(expression.unnest(), exp.Select):
+1927            sql = self.wrap(expression)
+1928        else:
+1929            sql = self.seg(self.indent(self.sql(expression, "this")), sep="")
+1930            sql = f"({sql}{self.seg(')', sep='')}"
+1931
+1932        return self.prepend_ctes(expression, sql)
 
    
 
 
@@ -9665,11 +9833,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1901    def neg_sql(self, expression: exp.Neg) -> str:
-1902        # This makes sure we don't convert "- - 5" to "--5", which is a comment
-1903        this_sql = self.sql(expression, "this")
-1904        sep = " " if this_sql[0] == "-" else ""
-1905        return f"-{sep}{this_sql}"
+            
    1934    def neg_sql(self, expression: exp.Neg) -> str:
+1935        # This makes sure we don't convert "- - 5" to "--5", which is a comment
+1936        this_sql = self.sql(expression, "this")
+1937        sep = " " if this_sql[0] == "-" else ""
+1938        return f"-{sep}{this_sql}"
 
    
 
 
@@ -9687,8 +9855,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1907    def not_sql(self, expression: exp.Not) -> str:
-1908        return f"NOT {self.sql(expression, 'this')}"
+            
    1940    def not_sql(self, expression: exp.Not) -> str:
+1941        return f"NOT {self.sql(expression, 'this')}"
 
    
 
 
@@ -9706,10 +9874,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1910    def alias_sql(self, expression: exp.Alias) -> str:
-1911        alias = self.sql(expression, "alias")
-1912        alias = f" AS {alias}" if alias else ""
-1913        return f"{self.sql(expression, 'this')}{alias}"
+            
    1943    def alias_sql(self, expression: exp.Alias) -> str:
+1944        alias = self.sql(expression, "alias")
+1945        alias = f" AS {alias}" if alias else ""
+1946        return f"{self.sql(expression, 'this')}{alias}"
 
    
 
 
@@ -9727,8 +9895,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1915    def aliases_sql(self, expression: exp.Aliases) -> str:
-1916        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
+            
    1948    def aliases_sql(self, expression: exp.Aliases) -> str:
+1949        return f"{self.sql(expression, 'this')} AS ({self.expressions(expression, flat=True)})"
 
    
 
 
@@ -9746,10 +9914,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1918    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
-1919        this = self.sql(expression, "this")
-1920        zone = self.sql(expression, "zone")
-1921        return f"{this} AT TIME ZONE {zone}"
+            
    1951    def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
+1952        this = self.sql(expression, "this")
+1953        zone = self.sql(expression, "zone")
+1954        return f"{this} AT TIME ZONE {zone}"
 
    
 
 
@@ -9767,8 +9935,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1923    def add_sql(self, expression: exp.Add) -> str:
-1924        return self.binary(expression, "+")
+            
    1956    def add_sql(self, expression: exp.Add) -> str:
+1957        return self.binary(expression, "+")
 
    
 
 
@@ -9786,8 +9954,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1926    def and_sql(self, expression: exp.And) -> str:
-1927        return self.connector_sql(expression, "AND")
+            
    1959    def and_sql(self, expression: exp.And) -> str:
+1960        return self.connector_sql(expression, "AND")
 
    
 
 
@@ -9805,17 +9973,17 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1929    def connector_sql(self, expression: exp.Connector, op: str) -> str:
-1930        if not self.pretty:
-1931            return self.binary(expression, op)
-1932
-1933        sqls = tuple(
-1934            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
-1935            for i, e in enumerate(expression.flatten(unnest=False))
-1936        )
-1937
-1938        sep = "\n" if self.text_width(sqls) > self.max_text_width else " "
-1939        return f"{sep}{op} ".join(sqls)
+            
    1962    def connector_sql(self, expression: exp.Connector, op: str) -> str:
+1963        if not self.pretty:
+1964            return self.binary(expression, op)
+1965
+1966        sqls = tuple(
+1967            self.maybe_comment(self.sql(e), e, e.parent.comments or []) if i != 1 else self.sql(e)
+1968            for i, e in enumerate(expression.flatten(unnest=False))
+1969        )
+1970
+1971        sep = "\n" if self.text_width(sqls) > self.max_text_width else " "
+1972        return f"{sep}{op} ".join(sqls)
 
    
 
 
@@ -9833,8 +10001,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1941    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
-1942        return self.binary(expression, "&")
+            
    1974    def bitwiseand_sql(self, expression: exp.BitwiseAnd) -> str:
+1975        return self.binary(expression, "&")
 
    
 
 
@@ -9852,8 +10020,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1944    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
-1945        return self.binary(expression, "<<")
+            
    1977    def bitwiseleftshift_sql(self, expression: exp.BitwiseLeftShift) -> str:
+1978        return self.binary(expression, "<<")
 
    
 
 
@@ -9871,8 +10039,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1947    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
-1948        return f"~{self.sql(expression, 'this')}"
+            
    1980    def bitwisenot_sql(self, expression: exp.BitwiseNot) -> str:
+1981        return f"~{self.sql(expression, 'this')}"
 
    
 
 
@@ -9890,8 +10058,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1950    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
-1951        return self.binary(expression, "|")
+            
    1983    def bitwiseor_sql(self, expression: exp.BitwiseOr) -> str:
+1984        return self.binary(expression, "|")
 
    
 
 
@@ -9909,8 +10077,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1953    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
-1954        return self.binary(expression, ">>")
+            
    1986    def bitwiserightshift_sql(self, expression: exp.BitwiseRightShift) -> str:
+1987        return self.binary(expression, ">>")
 
    
 
 
@@ -9928,8 +10096,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1956    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
-1957        return self.binary(expression, "^")
+            
    1989    def bitwisexor_sql(self, expression: exp.BitwiseXor) -> str:
+1990        return self.binary(expression, "^")
 
    
 
 
@@ -9947,8 +10115,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1959    def cast_sql(self, expression: exp.Cast) -> str:
-1960        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+            
    1992    def cast_sql(self, expression: exp.Cast) -> str:
+1993        return f"CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
 
    
 
 
@@ -9966,9 +10134,9 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1962    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
-1963        zone = self.sql(expression, "this")
-1964        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
+            
    1995    def currentdate_sql(self, expression: exp.CurrentDate) -> str:
+1996        zone = self.sql(expression, "this")
+1997        return f"CURRENT_DATE({zone})" if zone else "CURRENT_DATE"
 
    
 
 
@@ -9986,8 +10154,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1966    def collate_sql(self, expression: exp.Collate) -> str:
-1967        return self.binary(expression, "COLLATE")
+            
    1999    def collate_sql(self, expression: exp.Collate) -> str:
+2000        return self.binary(expression, "COLLATE")
 
    
 
 
@@ -10005,8 +10173,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1969    def command_sql(self, expression: exp.Command) -> str:
-1970        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
+            
    2002    def command_sql(self, expression: exp.Command) -> str:
+2003        return f"{self.sql(expression, 'this').upper()} {expression.text('expression').strip()}"
 
    
 
 
@@ -10024,12 +10192,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1972    def comment_sql(self, expression: exp.Comment) -> str:
-1973        this = self.sql(expression, "this")
-1974        kind = expression.args["kind"]
-1975        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
-1976        expression_sql = self.sql(expression, "expression")
-1977        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
+            
    2005    def comment_sql(self, expression: exp.Comment) -> str:
+2006        this = self.sql(expression, "this")
+2007        kind = expression.args["kind"]
+2008        exists_sql = " IF EXISTS " if expression.args.get("exists") else " "
+2009        expression_sql = self.sql(expression, "expression")
+2010        return f"COMMENT{exists_sql}ON {kind} {this} IS {expression_sql}"
 
    
 
 
@@ -10047,16 +10215,16 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1979    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
-1980        this = self.sql(expression, "this")
-1981        delete = " DELETE" if expression.args.get("delete") else ""
-1982        recompress = self.sql(expression, "recompress")
-1983        recompress = f" RECOMPRESS {recompress}" if recompress else ""
-1984        to_disk = self.sql(expression, "to_disk")
-1985        to_disk = f" TO DISK {to_disk}" if to_disk else ""
-1986        to_volume = self.sql(expression, "to_volume")
-1987        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
-1988        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
+            
    2012    def mergetreettlaction_sql(self, expression: exp.MergeTreeTTLAction) -> str:
+2013        this = self.sql(expression, "this")
+2014        delete = " DELETE" if expression.args.get("delete") else ""
+2015        recompress = self.sql(expression, "recompress")
+2016        recompress = f" RECOMPRESS {recompress}" if recompress else ""
+2017        to_disk = self.sql(expression, "to_disk")
+2018        to_disk = f" TO DISK {to_disk}" if to_disk else ""
+2019        to_volume = self.sql(expression, "to_volume")
+2020        to_volume = f" TO VOLUME {to_volume}" if to_volume else ""
+2021        return f"{this}{delete}{recompress}{to_disk}{to_volume}"
 
    
 
 
@@ -10074,16 +10242,16 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    1990    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
-1991        where = self.sql(expression, "where")
-1992        group = self.sql(expression, "group")
-1993        aggregates = self.expressions(expression, key="aggregates")
-1994        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
-1995
-1996        if not (where or group or aggregates) and len(expression.expressions) == 1:
-1997            return f"TTL {self.expressions(expression, flat=True)}"
-1998
-1999        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
+            
    2023    def mergetreettl_sql(self, expression: exp.MergeTreeTTL) -> str:
+2024        where = self.sql(expression, "where")
+2025        group = self.sql(expression, "group")
+2026        aggregates = self.expressions(expression, key="aggregates")
+2027        aggregates = self.seg("SET") + self.seg(aggregates) if aggregates else ""
+2028
+2029        if not (where or group or aggregates) and len(expression.expressions) == 1:
+2030            return f"TTL {self.expressions(expression, flat=True)}"
+2031
+2032        return f"TTL{self.seg(self.expressions(expression))}{where}{group}{aggregates}"
 
    
 
 
@@ -10101,8 +10269,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2001    def transaction_sql(self, expression: exp.Transaction) -> str:
-2002        return "BEGIN"
+            
    2034    def transaction_sql(self, expression: exp.Transaction) -> str:
+2035        return "BEGIN"
 
    
 
 
@@ -10120,12 +10288,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2004    def commit_sql(self, expression: exp.Commit) -> str:
-2005        chain = expression.args.get("chain")
-2006        if chain is not None:
-2007            chain = " AND CHAIN" if chain else " AND NO CHAIN"
-2008
-2009        return f"COMMIT{chain or ''}"
+            
    2037    def commit_sql(self, expression: exp.Commit) -> str:
+2038        chain = expression.args.get("chain")
+2039        if chain is not None:
+2040            chain = " AND CHAIN" if chain else " AND NO CHAIN"
+2041
+2042        return f"COMMIT{chain or ''}"
 
    
 
 
@@ -10143,10 +10311,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2011    def rollback_sql(self, expression: exp.Rollback) -> str:
-2012        savepoint = expression.args.get("savepoint")
-2013        savepoint = f" TO {savepoint}" if savepoint else ""
-2014        return f"ROLLBACK{savepoint}"
+            
    2044    def rollback_sql(self, expression: exp.Rollback) -> str:
+2045        savepoint = expression.args.get("savepoint")
+2046        savepoint = f" TO {savepoint}" if savepoint else ""
+2047        return f"ROLLBACK{savepoint}"
 
    
 
 
@@ -10164,25 +10332,25 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2016    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
-2017        this = self.sql(expression, "this")
-2018
-2019        dtype = self.sql(expression, "dtype")
-2020        if dtype:
-2021            collate = self.sql(expression, "collate")
-2022            collate = f" COLLATE {collate}" if collate else ""
-2023            using = self.sql(expression, "using")
-2024            using = f" USING {using}" if using else ""
-2025            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
-2026
-2027        default = self.sql(expression, "default")
-2028        if default:
-2029            return f"ALTER COLUMN {this} SET DEFAULT {default}"
-2030
-2031        if not expression.args.get("drop"):
-2032            self.unsupported("Unsupported ALTER COLUMN syntax")
-2033
-2034        return f"ALTER COLUMN {this} DROP DEFAULT"
+            
    2049    def altercolumn_sql(self, expression: exp.AlterColumn) -> str:
+2050        this = self.sql(expression, "this")
+2051
+2052        dtype = self.sql(expression, "dtype")
+2053        if dtype:
+2054            collate = self.sql(expression, "collate")
+2055            collate = f" COLLATE {collate}" if collate else ""
+2056            using = self.sql(expression, "using")
+2057            using = f" USING {using}" if using else ""
+2058            return f"ALTER COLUMN {this} TYPE {dtype}{collate}{using}"
+2059
+2060        default = self.sql(expression, "default")
+2061        if default:
+2062            return f"ALTER COLUMN {this} SET DEFAULT {default}"
+2063
+2064        if not expression.args.get("drop"):
+2065            self.unsupported("Unsupported ALTER COLUMN syntax")
+2066
+2067        return f"ALTER COLUMN {this} DROP DEFAULT"
 
    
 
 
@@ -10200,14 +10368,14 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2036    def renametable_sql(self, expression: exp.RenameTable) -> str:
-2037        if not self.RENAME_TABLE_WITH_DB:
-2038            # Remove db from tables
-2039            expression = expression.transform(
-2040                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
-2041            )
-2042        this = self.sql(expression, "this")
-2043        return f"RENAME TO {this}"
+            
    2069    def renametable_sql(self, expression: exp.RenameTable) -> str:
+2070        if not self.RENAME_TABLE_WITH_DB:
+2071            # Remove db from tables
+2072            expression = expression.transform(
+2073                lambda n: exp.table_(n.this) if isinstance(n, exp.Table) else n
+2074            )
+2075        this = self.sql(expression, "this")
+2076        return f"RENAME TO {this}"
 
    
 
 
@@ -10225,20 +10393,20 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2045    def altertable_sql(self, expression: exp.AlterTable) -> str:
-2046        actions = expression.args["actions"]
-2047
-2048        if isinstance(actions[0], exp.ColumnDef):
-2049            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
-2050        elif isinstance(actions[0], exp.Schema):
-2051            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
-2052        elif isinstance(actions[0], exp.Delete):
-2053            actions = self.expressions(expression, key="actions", flat=True)
-2054        else:
-2055            actions = self.expressions(expression, key="actions")
-2056
-2057        exists = " IF EXISTS" if expression.args.get("exists") else ""
-2058        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
+            
    2078    def altertable_sql(self, expression: exp.AlterTable) -> str:
+2079        actions = expression.args["actions"]
+2080
+2081        if isinstance(actions[0], exp.ColumnDef):
+2082            actions = self.expressions(expression, key="actions", prefix="ADD COLUMN ")
+2083        elif isinstance(actions[0], exp.Schema):
+2084            actions = self.expressions(expression, key="actions", prefix="ADD COLUMNS ")
+2085        elif isinstance(actions[0], exp.Delete):
+2086            actions = self.expressions(expression, key="actions", flat=True)
+2087        else:
+2088            actions = self.expressions(expression, key="actions")
+2089
+2090        exists = " IF EXISTS" if expression.args.get("exists") else ""
+2091        return f"ALTER TABLE{exists} {self.sql(expression, 'this')} {actions}"
 
    
 
 
@@ -10256,10 +10424,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2060    def droppartition_sql(self, expression: exp.DropPartition) -> str:
-2061        expressions = self.expressions(expression)
-2062        exists = " IF EXISTS " if expression.args.get("exists") else " "
-2063        return f"DROP{exists}{expressions}"
+            
    2093    def droppartition_sql(self, expression: exp.DropPartition) -> str:
+2094        expressions = self.expressions(expression)
+2095        exists = " IF EXISTS " if expression.args.get("exists") else " "
+2096        return f"DROP{exists}{expressions}"
 
    
 
 
@@ -10277,16 +10445,16 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2065    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
-2066        this = self.sql(expression, "this")
-2067        expression_ = self.sql(expression, "expression")
-2068        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
-2069
-2070        enforced = expression.args.get("enforced")
-2071        if enforced is not None:
-2072            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
-2073
-2074        return f"{add_constraint} {expression_}"
+            
    2098    def addconstraint_sql(self, expression: exp.AddConstraint) -> str:
+2099        this = self.sql(expression, "this")
+2100        expression_ = self.sql(expression, "expression")
+2101        add_constraint = f"ADD CONSTRAINT {this}" if this else "ADD"
+2102
+2103        enforced = expression.args.get("enforced")
+2104        if enforced is not None:
+2105            return f"{add_constraint} CHECK ({expression_}){' ENFORCED' if enforced else ''}"
+2106
+2107        return f"{add_constraint} {expression_}"
 
    
 
 
@@ -10304,13 +10472,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2076    def distinct_sql(self, expression: exp.Distinct) -> str:
-2077        this = self.expressions(expression, flat=True)
-2078        this = f" {this}" if this else ""
-2079
-2080        on = self.sql(expression, "on")
-2081        on = f" ON {on}" if on else ""
-2082        return f"DISTINCT{this}{on}"
+            
    2109    def distinct_sql(self, expression: exp.Distinct) -> str:
+2110        this = self.expressions(expression, flat=True)
+2111        this = f" {this}" if this else ""
+2112
+2113        on = self.sql(expression, "on")
+2114        on = f" ON {on}" if on else ""
+2115        return f"DISTINCT{this}{on}"
 
    
 
 
@@ -10328,8 +10496,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2084    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
-2085        return f"{self.sql(expression, 'this')} IGNORE NULLS"
+            
    2117    def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
+2118        return f"{self.sql(expression, 'this')} IGNORE NULLS"
 
    
 
 
@@ -10347,8 +10515,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2087    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
-2088        return f"{self.sql(expression, 'this')} RESPECT NULLS"
+            
    2120    def respectnulls_sql(self, expression: exp.RespectNulls) -> str:
+2121        return f"{self.sql(expression, 'this')} RESPECT NULLS"
 
    
 
 
@@ -10366,13 +10534,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2090    def intdiv_sql(self, expression: exp.IntDiv) -> str:
-2091        return self.sql(
-2092            exp.Cast(
-2093                this=exp.Div(this=expression.this, expression=expression.expression),
-2094                to=exp.DataType(this=exp.DataType.Type.INT),
-2095            )
-2096        )
+            
    2123    def intdiv_sql(self, expression: exp.IntDiv) -> str:
+2124        return self.sql(
+2125            exp.Cast(
+2126                this=exp.Div(this=expression.this, expression=expression.expression),
+2127                to=exp.DataType(this=exp.DataType.Type.INT),
+2128            )
+2129        )
 
    
 
 
@@ -10390,8 +10558,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2098    def dpipe_sql(self, expression: exp.DPipe) -> str:
-2099        return self.binary(expression, "||")
+            
    2131    def dpipe_sql(self, expression: exp.DPipe) -> str:
+2132        return self.binary(expression, "||")
 
    
 
 
@@ -10409,10 +10577,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2101    def safedpipe_sql(self, expression: exp.SafeDPipe) -> str:
-2102        if self.STRICT_STRING_CONCAT:
-2103            return self.func("CONCAT", *(exp.cast(e, "text") for e in expression.flatten()))
-2104        return self.dpipe_sql(expression)
+            
    2134    def safedpipe_sql(self, expression: exp.SafeDPipe) -> str:
+2135        if self.STRICT_STRING_CONCAT:
+2136            return self.func("CONCAT", *(exp.cast(e, "text") for e in expression.flatten()))
+2137        return self.dpipe_sql(expression)
 
    
 
 
@@ -10430,8 +10598,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2106    def div_sql(self, expression: exp.Div) -> str:
-2107        return self.binary(expression, "/")
+            
    2139    def div_sql(self, expression: exp.Div) -> str:
+2140        return self.binary(expression, "/")
 
    
 
 
@@ -10449,8 +10617,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2109    def overlaps_sql(self, expression: exp.Overlaps) -> str:
-2110        return self.binary(expression, "OVERLAPS")
+            
    2142    def overlaps_sql(self, expression: exp.Overlaps) -> str:
+2143        return self.binary(expression, "OVERLAPS")
 
    
 
 
@@ -10468,8 +10636,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2112    def distance_sql(self, expression: exp.Distance) -> str:
-2113        return self.binary(expression, "<->")
+            
    2145    def distance_sql(self, expression: exp.Distance) -> str:
+2146        return self.binary(expression, "<->")
 
    
 
 
@@ -10487,8 +10655,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2115    def dot_sql(self, expression: exp.Dot) -> str:
-2116        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
+            
    2148    def dot_sql(self, expression: exp.Dot) -> str:
+2149        return f"{self.sql(expression, 'this')}.{self.sql(expression, 'expression')}"
 
    
 
 
@@ -10506,8 +10674,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2118    def eq_sql(self, expression: exp.EQ) -> str:
-2119        return self.binary(expression, "=")
+            
    2151    def eq_sql(self, expression: exp.EQ) -> str:
+2152        return self.binary(expression, "=")
 
    
 
 
@@ -10525,8 +10693,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2121    def escape_sql(self, expression: exp.Escape) -> str:
-2122        return self.binary(expression, "ESCAPE")
+            
    2154    def escape_sql(self, expression: exp.Escape) -> str:
+2155        return self.binary(expression, "ESCAPE")
 
    
 
 
@@ -10544,8 +10712,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2124    def glob_sql(self, expression: exp.Glob) -> str:
-2125        return self.binary(expression, "GLOB")
+            
    2157    def glob_sql(self, expression: exp.Glob) -> str:
+2158        return self.binary(expression, "GLOB")
 
    
 
 
@@ -10563,8 +10731,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2127    def gt_sql(self, expression: exp.GT) -> str:
-2128        return self.binary(expression, ">")
+            
    2160    def gt_sql(self, expression: exp.GT) -> str:
+2161        return self.binary(expression, ">")
 
    
 
 
@@ -10582,8 +10750,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2130    def gte_sql(self, expression: exp.GTE) -> str:
-2131        return self.binary(expression, ">=")
+            
    2163    def gte_sql(self, expression: exp.GTE) -> str:
+2164        return self.binary(expression, ">=")
 
    
 
 
@@ -10601,8 +10769,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2133    def ilike_sql(self, expression: exp.ILike) -> str:
-2134        return self.binary(expression, "ILIKE")
+            
    2166    def ilike_sql(self, expression: exp.ILike) -> str:
+2167        return self.binary(expression, "ILIKE")
 
    
 
 
@@ -10620,8 +10788,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2136    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
-2137        return self.binary(expression, "ILIKE ANY")
+            
    2169    def ilikeany_sql(self, expression: exp.ILikeAny) -> str:
+2170        return self.binary(expression, "ILIKE ANY")
 
    
 
 
@@ -10639,12 +10807,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2139    def is_sql(self, expression: exp.Is) -> str:
-2140        if not self.IS_BOOL_ALLOWED and isinstance(expression.expression, exp.Boolean):
-2141            return self.sql(
-2142                expression.this if expression.expression.this else exp.not_(expression.this)
-2143            )
-2144        return self.binary(expression, "IS")
+            
    2172    def is_sql(self, expression: exp.Is) -> str:
+2173        if not self.IS_BOOL_ALLOWED and isinstance(expression.expression, exp.Boolean):
+2174            return self.sql(
+2175                expression.this if expression.expression.this else exp.not_(expression.this)
+2176            )
+2177        return self.binary(expression, "IS")
 
    
 
 
@@ -10662,8 +10830,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2146    def like_sql(self, expression: exp.Like) -> str:
-2147        return self.binary(expression, "LIKE")
+            
    2179    def like_sql(self, expression: exp.Like) -> str:
+2180        return self.binary(expression, "LIKE")
 
    
 
 
@@ -10681,8 +10849,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2149    def likeany_sql(self, expression: exp.LikeAny) -> str:
-2150        return self.binary(expression, "LIKE ANY")
+            
    2182    def likeany_sql(self, expression: exp.LikeAny) -> str:
+2183        return self.binary(expression, "LIKE ANY")
 
    
 
 
@@ -10700,8 +10868,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2152    def similarto_sql(self, expression: exp.SimilarTo) -> str:
-2153        return self.binary(expression, "SIMILAR TO")
+            
    2185    def similarto_sql(self, expression: exp.SimilarTo) -> str:
+2186        return self.binary(expression, "SIMILAR TO")
 
    
 
 
@@ -10719,8 +10887,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2155    def lt_sql(self, expression: exp.LT) -> str:
-2156        return self.binary(expression, "<")
+            
    2188    def lt_sql(self, expression: exp.LT) -> str:
+2189        return self.binary(expression, "<")
 
    
 
 
@@ -10738,8 +10906,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2158    def lte_sql(self, expression: exp.LTE) -> str:
-2159        return self.binary(expression, "<=")
+            
    2191    def lte_sql(self, expression: exp.LTE) -> str:
+2192        return self.binary(expression, "<=")
 
    
 
 
@@ -10757,8 +10925,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2161    def mod_sql(self, expression: exp.Mod) -> str:
-2162        return self.binary(expression, "%")
+            
    2194    def mod_sql(self, expression: exp.Mod) -> str:
+2195        return self.binary(expression, "%")
 
    
 
 
@@ -10776,8 +10944,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2164    def mul_sql(self, expression: exp.Mul) -> str:
-2165        return self.binary(expression, "*")
+            
    2197    def mul_sql(self, expression: exp.Mul) -> str:
+2198        return self.binary(expression, "*")
 
    
 
 
@@ -10795,8 +10963,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2167    def neq_sql(self, expression: exp.NEQ) -> str:
-2168        return self.binary(expression, "<>")
+            
    2200    def neq_sql(self, expression: exp.NEQ) -> str:
+2201        return self.binary(expression, "<>")
 
    
 
 
@@ -10814,8 +10982,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2170    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
-2171        return self.binary(expression, "IS NOT DISTINCT FROM")
+            
    2203    def nullsafeeq_sql(self, expression: exp.NullSafeEQ) -> str:
+2204        return self.binary(expression, "IS NOT DISTINCT FROM")
 
    
 
 
@@ -10833,8 +11001,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2173    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
-2174        return self.binary(expression, "IS DISTINCT FROM")
+            
    2206    def nullsafeneq_sql(self, expression: exp.NullSafeNEQ) -> str:
+2207        return self.binary(expression, "IS DISTINCT FROM")
 
    
 
 
@@ -10852,8 +11020,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2176    def or_sql(self, expression: exp.Or) -> str:
-2177        return self.connector_sql(expression, "OR")
+            
    2209    def or_sql(self, expression: exp.Or) -> str:
+2210        return self.connector_sql(expression, "OR")
 
    
 
 
@@ -10871,8 +11039,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2179    def slice_sql(self, expression: exp.Slice) -> str:
-2180        return self.binary(expression, ":")
+            
    2212    def slice_sql(self, expression: exp.Slice) -> str:
+2213        return self.binary(expression, ":")
 
    
 
 
@@ -10890,8 +11058,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2182    def sub_sql(self, expression: exp.Sub) -> str:
-2183        return self.binary(expression, "-")
+            
    2215    def sub_sql(self, expression: exp.Sub) -> str:
+2216        return self.binary(expression, "-")
 
    
 
 
@@ -10909,8 +11077,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2185    def trycast_sql(self, expression: exp.TryCast) -> str:
-2186        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
+            
    2218    def trycast_sql(self, expression: exp.TryCast) -> str:
+2219        return f"TRY_CAST({self.sql(expression, 'this')} AS {self.sql(expression, 'to')})"
 
    
 
 
@@ -10928,12 +11096,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2188    def use_sql(self, expression: exp.Use) -> str:
-2189        kind = self.sql(expression, "kind")
-2190        kind = f" {kind}" if kind else ""
-2191        this = self.sql(expression, "this")
-2192        this = f" {this}" if this else ""
-2193        return f"USE{kind}{this}"
+            
    2221    def use_sql(self, expression: exp.Use) -> str:
+2222        kind = self.sql(expression, "kind")
+2223        kind = f" {kind}" if kind else ""
+2224        this = self.sql(expression, "this")
+2225        this = f" {this}" if this else ""
+2226        return f"USE{kind}{this}"
 
    
 
 
@@ -10951,9 +11119,9 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2195    def binary(self, expression: exp.Binary, op: str) -> str:
-2196        op = self.maybe_comment(op, comments=expression.comments)
-2197        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
+            
    2228    def binary(self, expression: exp.Binary, op: str) -> str:
+2229        op = self.maybe_comment(op, comments=expression.comments)
+2230        return f"{self.sql(expression, 'this')} {op} {self.sql(expression, 'expression')}"
 
    
 
 
@@ -10971,16 +11139,16 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2199    def function_fallback_sql(self, expression: exp.Func) -> str:
-2200        args = []
-2201        for arg_value in expression.args.values():
-2202            if isinstance(arg_value, list):
-2203                for value in arg_value:
-2204                    args.append(value)
-2205            else:
-2206                args.append(arg_value)
-2207
-2208        return self.func(expression.sql_name(), *args)
+            
    2232    def function_fallback_sql(self, expression: exp.Func) -> str:
+2233        args = []
+2234        for arg_value in expression.args.values():
+2235            if isinstance(arg_value, list):
+2236                for value in arg_value:
+2237                    args.append(value)
+2238            else:
+2239                args.append(arg_value)
+2240
+2241        return self.func(expression.sql_name(), *args)
 
    
 
 
@@ -10998,14 +11166,14 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2210    def func(
-2211        self,
-2212        name: str,
-2213        *args: t.Optional[exp.Expression | str],
-2214        prefix: str = "(",
-2215        suffix: str = ")",
-2216    ) -> str:
-2217        return f"{self.normalize_func(name)}{prefix}{self.format_args(*args)}{suffix}"
+            
    2243    def func(
+2244        self,
+2245        name: str,
+2246        *args: t.Optional[exp.Expression | str],
+2247        prefix: str = "(",
+2248        suffix: str = ")",
+2249    ) -> str:
+2250        return f"{self.normalize_func(name)}{prefix}{self.format_args(*args)}{suffix}"
 
    
 
 
@@ -11023,11 +11191,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2219    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
-2220        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
-2221        if self.pretty and self.text_width(arg_sqls) > self.max_text_width:
-2222            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
-2223        return ", ".join(arg_sqls)
+            
    2252    def format_args(self, *args: t.Optional[str | exp.Expression]) -> str:
+2253        arg_sqls = tuple(self.sql(arg) for arg in args if arg is not None)
+2254        if self.pretty and self.text_width(arg_sqls) > self.max_text_width:
+2255            return self.indent("\n" + f",\n".join(arg_sqls) + "\n", skip_first=True, skip_last=True)
+2256        return ", ".join(arg_sqls)
 
    
 
 
@@ -11045,8 +11213,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2225    def text_width(self, args: t.Iterable) -> int:
-2226        return sum(len(arg) for arg in args)
+            
    2258    def text_width(self, args: t.Iterable) -> int:
+2259        return sum(len(arg) for arg in args)
 
    
 
 
@@ -11064,10 +11232,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2228    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
-2229        return format_time(
-2230            self.sql(expression, "format"), self.INVERSE_TIME_MAPPING, self.INVERSE_TIME_TRIE
-2231        )
+            
    2261    def format_time(self, expression: exp.Expression) -> t.Optional[str]:
+2262        return format_time(
+2263            self.sql(expression, "format"), self.INVERSE_TIME_MAPPING, self.INVERSE_TIME_TRIE
+2264        )
 
    
 
 
@@ -11085,47 +11253,47 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2233    def expressions(
-2234        self,
-2235        expression: t.Optional[exp.Expression] = None,
-2236        key: t.Optional[str] = None,
-2237        sqls: t.Optional[t.List[str]] = None,
-2238        flat: bool = False,
-2239        indent: bool = True,
-2240        sep: str = ", ",
-2241        prefix: str = "",
-2242    ) -> str:
-2243        expressions = expression.args.get(key or "expressions") if expression else sqls
-2244
-2245        if not expressions:
-2246            return ""
-2247
-2248        if flat:
-2249            return sep.join(self.sql(e) for e in expressions)
-2250
-2251        num_sqls = len(expressions)
-2252
-2253        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
-2254        pad = " " * self.pad
-2255        stripped_sep = sep.strip()
-2256
-2257        result_sqls = []
-2258        for i, e in enumerate(expressions):
-2259            sql = self.sql(e, comment=False)
-2260            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
-2261
-2262            if self.pretty:
-2263                if self.leading_comma:
-2264                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
-2265                else:
-2266                    result_sqls.append(
-2267                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
-2268                    )
-2269            else:
-2270                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
-2271
-2272        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
-2273        return self.indent(result_sql, skip_first=False) if indent else result_sql
+            
    2266    def expressions(
+2267        self,
+2268        expression: t.Optional[exp.Expression] = None,
+2269        key: t.Optional[str] = None,
+2270        sqls: t.Optional[t.List[str]] = None,
+2271        flat: bool = False,
+2272        indent: bool = True,
+2273        sep: str = ", ",
+2274        prefix: str = "",
+2275    ) -> str:
+2276        expressions = expression.args.get(key or "expressions") if expression else sqls
+2277
+2278        if not expressions:
+2279            return ""
+2280
+2281        if flat:
+2282            return sep.join(self.sql(e) for e in expressions)
+2283
+2284        num_sqls = len(expressions)
+2285
+2286        # These are calculated once in case we have the leading_comma / pretty option set, correspondingly
+2287        pad = " " * self.pad
+2288        stripped_sep = sep.strip()
+2289
+2290        result_sqls = []
+2291        for i, e in enumerate(expressions):
+2292            sql = self.sql(e, comment=False)
+2293            comments = self.maybe_comment("", e) if isinstance(e, exp.Expression) else ""
+2294
+2295            if self.pretty:
+2296                if self.leading_comma:
+2297                    result_sqls.append(f"{sep if i > 0 else pad}{prefix}{sql}{comments}")
+2298                else:
+2299                    result_sqls.append(
+2300                        f"{prefix}{sql}{stripped_sep if i + 1 < num_sqls else ''}{comments}"
+2301                    )
+2302            else:
+2303                result_sqls.append(f"{prefix}{sql}{comments}{sep if i + 1 < num_sqls else ''}")
+2304
+2305        result_sql = "\n".join(result_sqls) if self.pretty else "".join(result_sqls)
+2306        return self.indent(result_sql, skip_first=False) if indent else result_sql
 
    
 
 
@@ -11143,12 +11311,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2275    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
-2276        flat = flat or isinstance(expression.parent, exp.Properties)
-2277        expressions_sql = self.expressions(expression, flat=flat)
-2278        if flat:
-2279            return f"{op} {expressions_sql}"
-2280        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
+            
    2308    def op_expressions(self, op: str, expression: exp.Expression, flat: bool = False) -> str:
+2309        flat = flat or isinstance(expression.parent, exp.Properties)
+2310        expressions_sql = self.expressions(expression, flat=flat)
+2311        if flat:
+2312            return f"{op} {expressions_sql}"
+2313        return f"{self.seg(op)}{self.sep() if expressions_sql else ''}{expressions_sql}"
 
    
 
 
@@ -11166,11 +11334,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2282    def naked_property(self, expression: exp.Property) -> str:
-2283        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
-2284        if not property_name:
-2285            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
-2286        return f"{property_name} {self.sql(expression, 'this')}"
+            
    2315    def naked_property(self, expression: exp.Property) -> str:
+2316        property_name = exp.Properties.PROPERTY_TO_NAME.get(expression.__class__)
+2317        if not property_name:
+2318            self.unsupported(f"Unsupported property {expression.__class__.__name__}")
+2319        return f"{property_name} {self.sql(expression, 'this')}"
 
    
 
 
@@ -11188,12 +11356,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2288    def set_operation(self, expression: exp.Expression, op: str) -> str:
-2289        this = self.sql(expression, "this")
-2290        op = self.seg(op)
-2291        return self.query_modifiers(
-2292            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
-2293        )
+            
    2321    def set_operation(self, expression: exp.Expression, op: str) -> str:
+2322        this = self.sql(expression, "this")
+2323        op = self.seg(op)
+2324        return self.query_modifiers(
+2325            expression, f"{this}{op}{self.sep()}{self.sql(expression, 'expression')}"
+2326        )
 
    
 
 
@@ -11211,8 +11379,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2295    def tag_sql(self, expression: exp.Tag) -> str:
-2296        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
+            
    2328    def tag_sql(self, expression: exp.Tag) -> str:
+2329        return f"{expression.args.get('prefix')}{self.sql(expression.this)}{expression.args.get('postfix')}"
 
    
 
 
@@ -11230,8 +11398,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2298    def token_sql(self, token_type: TokenType) -> str:
-2299        return self.TOKEN_MAPPING.get(token_type, token_type.name)
+            
    2331    def token_sql(self, token_type: TokenType) -> str:
+2332        return self.TOKEN_MAPPING.get(token_type, token_type.name)
 
    
 
 
@@ -11249,13 +11417,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2301    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
-2302        this = self.sql(expression, "this")
-2303        expressions = self.no_identify(self.expressions, expression)
-2304        expressions = (
-2305            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
-2306        )
-2307        return f"{this}{expressions}"
+            
    2334    def userdefinedfunction_sql(self, expression: exp.UserDefinedFunction) -> str:
+2335        this = self.sql(expression, "this")
+2336        expressions = self.no_identify(self.expressions, expression)
+2337        expressions = (
+2338            self.wrap(expressions) if expression.args.get("wrapped") else f" {expressions}"
+2339        )
+2340        return f"{this}{expressions}"
 
    
 
 
@@ -11273,10 +11441,10 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2309    def joinhint_sql(self, expression: exp.JoinHint) -> str:
-2310        this = self.sql(expression, "this")
-2311        expressions = self.expressions(expression, flat=True)
-2312        return f"{this}({expressions})"
+            
    2342    def joinhint_sql(self, expression: exp.JoinHint) -> str:
+2343        this = self.sql(expression, "this")
+2344        expressions = self.expressions(expression, flat=True)
+2345        return f"{this}({expressions})"
 
    
 
 
@@ -11294,8 +11462,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2314    def kwarg_sql(self, expression: exp.Kwarg) -> str:
-2315        return self.binary(expression, "=>")
+            
    2347    def kwarg_sql(self, expression: exp.Kwarg) -> str:
+2348        return self.binary(expression, "=>")
 
    
 
 
@@ -11313,25 +11481,25 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2317    def when_sql(self, expression: exp.When) -> str:
-2318        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
-2319        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
-2320        condition = self.sql(expression, "condition")
-2321        condition = f" AND {condition}" if condition else ""
-2322
-2323        then_expression = expression.args.get("then")
-2324        if isinstance(then_expression, exp.Insert):
-2325            then = f"INSERT {self.sql(then_expression, 'this')}"
-2326            if "expression" in then_expression.args:
-2327                then += f" VALUES {self.sql(then_expression, 'expression')}"
-2328        elif isinstance(then_expression, exp.Update):
-2329            if isinstance(then_expression.args.get("expressions"), exp.Star):
-2330                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
-2331            else:
-2332                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
-2333        else:
-2334            then = self.sql(then_expression)
-2335        return f"WHEN {matched}{source}{condition} THEN {then}"
+            
    2350    def when_sql(self, expression: exp.When) -> str:
+2351        matched = "MATCHED" if expression.args["matched"] else "NOT MATCHED"
+2352        source = " BY SOURCE" if self.MATCHED_BY_SOURCE and expression.args.get("source") else ""
+2353        condition = self.sql(expression, "condition")
+2354        condition = f" AND {condition}" if condition else ""
+2355
+2356        then_expression = expression.args.get("then")
+2357        if isinstance(then_expression, exp.Insert):
+2358            then = f"INSERT {self.sql(then_expression, 'this')}"
+2359            if "expression" in then_expression.args:
+2360                then += f" VALUES {self.sql(then_expression, 'expression')}"
+2361        elif isinstance(then_expression, exp.Update):
+2362            if isinstance(then_expression.args.get("expressions"), exp.Star):
+2363                then = f"UPDATE {self.sql(then_expression, 'expressions')}"
+2364            else:
+2365                then = f"UPDATE SET {self.expressions(then_expression, flat=True)}"
+2366        else:
+2367            then = self.sql(then_expression)
+2368        return f"WHEN {matched}{source}{condition} THEN {then}"
 
    
 
 
@@ -11349,11 +11517,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2337    def merge_sql(self, expression: exp.Merge) -> str:
-2338        this = self.sql(expression, "this")
-2339        using = f"USING {self.sql(expression, 'using')}"
-2340        on = f"ON {self.sql(expression, 'on')}"
-2341        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
+            
    2370    def merge_sql(self, expression: exp.Merge) -> str:
+2371        this = self.sql(expression, "this")
+2372        using = f"USING {self.sql(expression, 'using')}"
+2373        on = f"ON {self.sql(expression, 'on')}"
+2374        return f"MERGE INTO {this} {using} {on} {self.expressions(expression, sep=' ')}"
 
    
 
 
@@ -11371,11 +11539,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2343    def tochar_sql(self, expression: exp.ToChar) -> str:
-2344        if expression.args.get("format"):
-2345            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
-2346
-2347        return self.sql(exp.cast(expression.this, "text"))
+            
    2376    def tochar_sql(self, expression: exp.ToChar) -> str:
+2377        if expression.args.get("format"):
+2378            self.unsupported("Format argument unsupported for TO_CHAR/TO_VARCHAR function")
+2379
+2380        return self.sql(exp.cast(expression.this, "text"))
 
    
 
 
@@ -11393,12 +11561,12 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2349    def dictproperty_sql(self, expression: exp.DictProperty) -> str:
-2350        this = self.sql(expression, "this")
-2351        kind = self.sql(expression, "kind")
-2352        settings_sql = self.expressions(expression, key="settings", sep=" ")
-2353        args = f"({self.sep('')}{settings_sql}{self.seg(')', sep='')}" if settings_sql else "()"
-2354        return f"{this}({kind}{args})"
+            
    2382    def dictproperty_sql(self, expression: exp.DictProperty) -> str:
+2383        this = self.sql(expression, "this")
+2384        kind = self.sql(expression, "kind")
+2385        settings_sql = self.expressions(expression, key="settings", sep=" ")
+2386        args = f"({self.sep('')}{settings_sql}{self.seg(')', sep='')}" if settings_sql else "()"
+2387        return f"{this}({kind}{args})"
 
    
 
 
@@ -11416,11 +11584,11 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2356    def dictrange_sql(self, expression: exp.DictRange) -> str:
-2357        this = self.sql(expression, "this")
-2358        max = self.sql(expression, "max")
-2359        min = self.sql(expression, "min")
-2360        return f"{this}(MIN {min} MAX {max})"
+            
    2389    def dictrange_sql(self, expression: exp.DictRange) -> str:
+2390        this = self.sql(expression, "this")
+2391        max = self.sql(expression, "max")
+2392        min = self.sql(expression, "min")
+2393        return f"{this}(MIN {min} MAX {max})"
 
    
 
 
@@ -11438,8 +11606,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2362    def dictsubproperty_sql(self, expression: exp.DictSubProperty) -> str:
-2363        return f"{self.sql(expression, 'this')} {self.sql(expression, 'value')}"
+            
    2395    def dictsubproperty_sql(self, expression: exp.DictSubProperty) -> str:
+2396        return f"{self.sql(expression, 'this')} {self.sql(expression, 'value')}"
 
    
 
 
@@ -11457,8 +11625,8 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2365    def oncluster_sql(self, expression: exp.OnCluster) -> str:
-2366        return ""
+            
    2398    def oncluster_sql(self, expression: exp.OnCluster) -> str:
+2399        return ""
 
    
 
 
@@ -11477,13 +11645,13 @@ which can be slow to compute, so only use it if you set _hash on each node.
    - 
    2369def cached_generator(
-2370    cache: t.Optional[t.Dict[int, str]] = None
-2371) -> t.Callable[[exp.Expression], str]:
-2372    """Returns a cached generator."""
-2373    cache = {} if cache is None else cache
-2374    generator = Generator(normalize=True, identify="safe")
-2375    return lambda e: generator.generate(e, cache)
+            
    2402def cached_generator(
+2403    cache: t.Optional[t.Dict[int, str]] = None
+2404) -> t.Callable[[exp.Expression], str]:
+2405    """Returns a cached generator."""
+2406    cache = {} if cache is None else cache
+2407    generator = Generator(normalize=True, identify="safe")
+2408    return lambda e: generator.generate(e, cache)
 
    
 
 
diff --git a/docs/sqlglot/helper.html b/docs/sqlglot/helper.html
index 8c1e736..27f83a0 100644
--- a/docs/sqlglot/helper.html
+++ b/docs/sqlglot/helper.html
@@ -93,12 +93,6 @@
             
  • 
                     first
             
    • 
-            
  • 
-                    case_sensitive
-            
    • 
-            
  • 
-                    should_identify
-            
    • 
     
 
 
@@ -138,448 +132,421 @@
      14if t.TYPE_CHECKING:
  15    from sqlglot import exp
  16    from sqlglot._typing import E, T
- 17    from sqlglot.dialects.dialect import DialectType
- 18    from sqlglot.expressions import Expression
- 19
- 20CAMEL_CASE_PATTERN = re.compile("(?<!^)(?=[A-Z])")
- 21PYTHON_VERSION = sys.version_info[:2]
- 22logger = logging.getLogger("sqlglot")
+ 17    from sqlglot.expressions import Expression
+ 18
+ 19CAMEL_CASE_PATTERN = re.compile("(?<!^)(?=[A-Z])")
+ 20PYTHON_VERSION = sys.version_info[:2]
+ 21logger = logging.getLogger("sqlglot")
+ 22
  23
- 24
- 25class AutoName(Enum):
- 26    """This is used for creating enum classes where `auto()` is the string form of the corresponding value's name."""
- 27
- 28    def _generate_next_value_(name, _start, _count, _last_values):
- 29        return name
+ 24class AutoName(Enum):
+ 25    """This is used for creating enum classes where `auto()` is the string form of the corresponding value's name."""
+ 26
+ 27    def _generate_next_value_(name, _start, _count, _last_values):
+ 28        return name
+ 29
  30
- 31
- 32def seq_get(seq: t.Sequence[T], index: int) -> t.Optional[T]:
- 33    """Returns the value in `seq` at position `index`, or `None` if `index` is out of bounds."""
- 34    try:
- 35        return seq[index]
- 36    except IndexError:
- 37        return None
+ 31def seq_get(seq: t.Sequence[T], index: int) -> t.Optional[T]:
+ 32    """Returns the value in `seq` at position `index`, or `None` if `index` is out of bounds."""
+ 33    try:
+ 34        return seq[index]
+ 35    except IndexError:
+ 36        return None
+ 37
  38
- 39
- 40@t.overload
- 41def ensure_list(value: t.Collection[T]) -> t.List[T]:
- 42    ...
+ 39@t.overload
+ 40def ensure_list(value: t.Collection[T]) -> t.List[T]:
+ 41    ...
+ 42
  43
- 44
- 45@t.overload
- 46def ensure_list(value: T) -> t.List[T]:
- 47    ...
+ 44@t.overload
+ 45def ensure_list(value: T) -> t.List[T]:
+ 46    ...
+ 47
  48
- 49
- 50def ensure_list(value):
- 51    """
- 52    Ensures that a value is a list, otherwise casts or wraps it into one.
- 53
- 54    Args:
- 55        value: the value of interest.
- 56
- 57    Returns:
- 58        The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.
- 59    """
- 60    if value is None:
- 61        return []
- 62    if isinstance(value, (list, tuple)):
- 63        return list(value)
- 64
- 65    return [value]
+ 49def ensure_list(value):
+ 50    """
+ 51    Ensures that a value is a list, otherwise casts or wraps it into one.
+ 52
+ 53    Args:
+ 54        value: the value of interest.
+ 55
+ 56    Returns:
+ 57        The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.
+ 58    """
+ 59    if value is None:
+ 60        return []
+ 61    if isinstance(value, (list, tuple)):
+ 62        return list(value)
+ 63
+ 64    return [value]
+ 65
  66
- 67
- 68@t.overload
- 69def ensure_collection(value: t.Collection[T]) -> t.Collection[T]:
- 70    ...
+ 67@t.overload
+ 68def ensure_collection(value: t.Collection[T]) -> t.Collection[T]:
+ 69    ...
+ 70
  71
- 72
- 73@t.overload
- 74def ensure_collection(value: T) -> t.Collection[T]:
- 75    ...
+ 72@t.overload
+ 73def ensure_collection(value: T) -> t.Collection[T]:
+ 74    ...
+ 75
  76
- 77
- 78def ensure_collection(value):
- 79    """
- 80    Ensures that a value is a collection (excluding `str` and `bytes`), otherwise wraps it into a list.
- 81
- 82    Args:
- 83        value: the value of interest.
- 84
- 85    Returns:
- 86        The value if it's a collection, or else the value wrapped in a list.
- 87    """
- 88    if value is None:
- 89        return []
- 90    return (
- 91        value if isinstance(value, Collection) and not isinstance(value, (str, bytes)) else [value]
- 92    )
+ 77def ensure_collection(value):
+ 78    """
+ 79    Ensures that a value is a collection (excluding `str` and `bytes`), otherwise wraps it into a list.
+ 80
+ 81    Args:
+ 82        value: the value of interest.
+ 83
+ 84    Returns:
+ 85        The value if it's a collection, or else the value wrapped in a list.
+ 86    """
+ 87    if value is None:
+ 88        return []
+ 89    return (
+ 90        value if isinstance(value, Collection) and not isinstance(value, (str, bytes)) else [value]
+ 91    )
+ 92
  93
- 94
- 95def csv(*args: str, sep: str = ", ") -> str:
- 96    """
- 97    Formats any number of string arguments as CSV.
- 98
- 99    Args:
-100        args: the string arguments to format.
-101        sep: the argument separator.
-102
-103    Returns:
-104        The arguments formatted as a CSV string.
-105    """
-106    return sep.join(arg for arg in args if arg)
+ 94def csv(*args: str, sep: str = ", ") -> str:
+ 95    """
+ 96    Formats any number of string arguments as CSV.
+ 97
+ 98    Args:
+ 99        args: the string arguments to format.
+100        sep: the argument separator.
+101
+102    Returns:
+103        The arguments formatted as a CSV string.
+104    """
+105    return sep.join(arg for arg in args if arg)
+106
 107
-108
-109def subclasses(
-110    module_name: str,
-111    classes: t.Type | t.Tuple[t.Type, ...],
-112    exclude: t.Type | t.Tuple[t.Type, ...] = (),
-113) -> t.List[t.Type]:
-114    """
-115    Returns all subclasses for a collection of classes, possibly excluding some of them.
-116
-117    Args:
-118        module_name: the name of the module to search for subclasses in.
-119        classes: class(es) we want to find the subclasses of.
-120        exclude: class(es) we want to exclude from the returned list.
-121
-122    Returns:
-123        The target subclasses.
-124    """
-125    return [
-126        obj
-127        for _, obj in inspect.getmembers(
-128            sys.modules[module_name],
-129            lambda obj: inspect.isclass(obj) and issubclass(obj, classes) and obj not in exclude,
-130        )
-131    ]
+108def subclasses(
+109    module_name: str,
+110    classes: t.Type | t.Tuple[t.Type, ...],
+111    exclude: t.Type | t.Tuple[t.Type, ...] = (),
+112) -> t.List[t.Type]:
+113    """
+114    Returns all subclasses for a collection of classes, possibly excluding some of them.
+115
+116    Args:
+117        module_name: the name of the module to search for subclasses in.
+118        classes: class(es) we want to find the subclasses of.
+119        exclude: class(es) we want to exclude from the returned list.
+120
+121    Returns:
+122        The target subclasses.
+123    """
+124    return [
+125        obj
+126        for _, obj in inspect.getmembers(
+127            sys.modules[module_name],
+128            lambda obj: inspect.isclass(obj) and issubclass(obj, classes) and obj not in exclude,
+129        )
+130    ]
+131
 132
-133
-134def apply_index_offset(
-135    this: exp.Expression,
-136    expressions: t.List[t.Optional[E]],
-137    offset: int,
-138) -> t.List[t.Optional[E]]:
-139    """
-140    Applies an offset to a given integer literal expression.
-141
-142    Args:
-143        this: the target of the index
-144        expressions: the expression the offset will be applied to, wrapped in a list.
-145        offset: the offset that will be applied.
-146
-147    Returns:
-148        The original expression with the offset applied to it, wrapped in a list. If the provided
-149        `expressions` argument contains more than one expressions, it's returned unaffected.
-150    """
-151    if not offset or len(expressions) != 1:
-152        return expressions
-153
-154    expression = expressions[0]
-155
-156    from sqlglot import exp
-157    from sqlglot.optimizer.annotate_types import annotate_types
-158    from sqlglot.optimizer.simplify import simplify
-159
-160    if not this.type:
-161        annotate_types(this)
-162
-163    if t.cast(exp.DataType, this.type).this not in (
-164        exp.DataType.Type.UNKNOWN,
-165        exp.DataType.Type.ARRAY,
-166    ):
-167        return expressions
-168
-169    if expression:
-170        if not expression.type:
-171            annotate_types(expression)
-172        if t.cast(exp.DataType, expression.type).this in exp.DataType.INTEGER_TYPES:
-173            logger.warning("Applying array index offset (%s)", offset)
-174            expression = simplify(
-175                exp.Add(this=expression.copy(), expression=exp.Literal.number(offset))
-176            )
-177            return [expression]
-178
-179    return expressions
+133def apply_index_offset(
+134    this: exp.Expression,
+135    expressions: t.List[t.Optional[E]],
+136    offset: int,
+137) -> t.List[t.Optional[E]]:
+138    """
+139    Applies an offset to a given integer literal expression.
+140
+141    Args:
+142        this: the target of the index
+143        expressions: the expression the offset will be applied to, wrapped in a list.
+144        offset: the offset that will be applied.
+145
+146    Returns:
+147        The original expression with the offset applied to it, wrapped in a list. If the provided
+148        `expressions` argument contains more than one expressions, it's returned unaffected.
+149    """
+150    if not offset or len(expressions) != 1:
+151        return expressions
+152
+153    expression = expressions[0]
+154
+155    from sqlglot import exp
+156    from sqlglot.optimizer.annotate_types import annotate_types
+157    from sqlglot.optimizer.simplify import simplify
+158
+159    if not this.type:
+160        annotate_types(this)
+161
+162    if t.cast(exp.DataType, this.type).this not in (
+163        exp.DataType.Type.UNKNOWN,
+164        exp.DataType.Type.ARRAY,
+165    ):
+166        return expressions
+167
+168    if expression:
+169        if not expression.type:
+170            annotate_types(expression)
+171        if t.cast(exp.DataType, expression.type).this in exp.DataType.INTEGER_TYPES:
+172            logger.warning("Applying array index offset (%s)", offset)
+173            expression = simplify(
+174                exp.Add(this=expression.copy(), expression=exp.Literal.number(offset))
+175            )
+176            return [expression]
+177
+178    return expressions
+179
 180
-181
-182def camel_to_snake_case(name: str) -> str:
-183    """Converts `name` from camelCase to snake_case and returns the result."""
-184    return CAMEL_CASE_PATTERN.sub("_", name).upper()
+181def camel_to_snake_case(name: str) -> str:
+182    """Converts `name` from camelCase to snake_case and returns the result."""
+183    return CAMEL_CASE_PATTERN.sub("_", name).upper()
+184
 185
-186
-187def while_changing(expression: Expression, func: t.Callable[[Expression], E]) -> E:
-188    """
-189    Applies a transformation to a given expression until a fix point is reached.
-190
-191    Args:
-192        expression: the expression to be transformed.
-193        func: the transformation to be applied.
-194
-195    Returns:
-196        The transformed expression.
-197    """
-198    while True:
-199        for n, *_ in reversed(tuple(expression.walk())):
-200            n._hash = hash(n)
-201        start = hash(expression)
-202        expression = func(expression)
-203
-204        for n, *_ in expression.walk():
-205            n._hash = None
-206        if start == hash(expression):
-207            break
-208    return expression
+186def while_changing(expression: Expression, func: t.Callable[[Expression], E]) -> E:
+187    """
+188    Applies a transformation to a given expression until a fix point is reached.
+189
+190    Args:
+191        expression: the expression to be transformed.
+192        func: the transformation to be applied.
+193
+194    Returns:
+195        The transformed expression.
+196    """
+197    while True:
+198        for n, *_ in reversed(tuple(expression.walk())):
+199            n._hash = hash(n)
+200        start = hash(expression)
+201        expression = func(expression)
+202
+203        for n, *_ in expression.walk():
+204            n._hash = None
+205        if start == hash(expression):
+206            break
+207    return expression
+208
 209
-210
-211def tsort(dag: t.Dict[T, t.List[T]]) -> t.List[T]:
-212    """
-213    Sorts a given directed acyclic graph in topological order.
-214
-215    Args:
-216        dag: the graph to be sorted.
-217
-218    Returns:
-219        A list that contains all of the graph's nodes in topological order.
-220    """
-221    result = []
-222
-223    def visit(node: T, visited: t.Set[T]) -> None:
-224        if node in result:
-225            return
-226        if node in visited:
-227            raise ValueError("Cycle error")
-228
-229        visited.add(node)
-230
-231        for dep in dag.get(node, []):
-232            visit(dep, visited)
-233
-234        visited.remove(node)
-235        result.append(node)
-236
-237    for node in dag:
-238        visit(node, set())
-239
-240    return result
-241
+210def tsort(dag: t.Dict[T, t.Set[T]]) -> t.List[T]:
+211    """
+212    Sorts a given directed acyclic graph in topological order.
+213
+214    Args:
+215        dag: the graph to be sorted.
+216
+217    Returns:
+218        A list that contains all of the graph's nodes in topological order.
+219    """
+220    result = []
+221
+222    for node, deps in tuple(dag.items()):
+223        for dep in deps:
+224            if not dep in dag:
+225                dag[dep] = set()
+226
+227    while dag:
+228        current = {node for node, deps in dag.items() if not deps}
+229
+230        if not current:
+231            raise ValueError("Cycle error")
+232
+233        for node in current:
+234            dag.pop(node)
+235
+236        for deps in dag.values():
+237            deps -= current
+238
+239        result.extend(sorted(current))  # type: ignore
+240
+241    return result
 242
-243def open_file(file_name: str) -> t.TextIO:
-244    """Open a file that may be compressed as gzip and return it in universal newline mode."""
-245    with open(file_name, "rb") as f:
-246        gzipped = f.read(2) == b"\x1f\x8b"
-247
-248    if gzipped:
-249        import gzip
-250
-251        return gzip.open(file_name, "rt", newline="")
-252
-253    return open(file_name, encoding="utf-8", newline="")
-254
+243
+244def open_file(file_name: str) -> t.TextIO:
+245    """Open a file that may be compressed as gzip and return it in universal newline mode."""
+246    with open(file_name, "rb") as f:
+247        gzipped = f.read(2) == b"\x1f\x8b"
+248
+249    if gzipped:
+250        import gzip
+251
+252        return gzip.open(file_name, "rt", newline="")
+253
+254    return open(file_name, encoding="utf-8", newline="")
 255
-256@contextmanager
-257def csv_reader(read_csv: exp.ReadCSV) -> t.Any:
-258    """
-259    Returns a csv reader given the expression `READ_CSV(name, ['delimiter', '|', ...])`.
-260
-261    Args:
-262        read_csv: a `ReadCSV` function call
-263
-264    Yields:
-265        A python csv reader.
-266    """
-267    args = read_csv.expressions
-268    file = open_file(read_csv.name)
-269
-270    delimiter = ","
-271    args = iter(arg.name for arg in args)
-272    for k, v in zip(args, args):
-273        if k == "delimiter":
-274            delimiter = v
-275
-276    try:
-277        import csv as csv_
-278
-279        yield csv_.reader(file, delimiter=delimiter)
-280    finally:
-281        file.close()
-282
+256
+257@contextmanager
+258def csv_reader(read_csv: exp.ReadCSV) -> t.Any:
+259    """
+260    Returns a csv reader given the expression `READ_CSV(name, ['delimiter', '|', ...])`.
+261
+262    Args:
+263        read_csv: a `ReadCSV` function call
+264
+265    Yields:
+266        A python csv reader.
+267    """
+268    args = read_csv.expressions
+269    file = open_file(read_csv.name)
+270
+271    delimiter = ","
+272    args = iter(arg.name for arg in args)
+273    for k, v in zip(args, args):
+274        if k == "delimiter":
+275            delimiter = v
+276
+277    try:
+278        import csv as csv_
+279
+280        yield csv_.reader(file, delimiter=delimiter)
+281    finally:
+282        file.close()
 283
-284def find_new_name(taken: t.Collection[str], base: str) -> str:
-285    """
-286    Searches for a new name.
-287
-288    Args:
-289        taken: a collection of taken names.
-290        base: base name to alter.
-291
-292    Returns:
-293        The new, available name.
-294    """
-295    if base not in taken:
-296        return base
-297
-298    i = 2
-299    new = f"{base}_{i}"
-300    while new in taken:
-301        i += 1
-302        new = f"{base}_{i}"
-303
-304    return new
-305
+284
+285def find_new_name(taken: t.Collection[str], base: str) -> str:
+286    """
+287    Searches for a new name.
+288
+289    Args:
+290        taken: a collection of taken names.
+291        base: base name to alter.
+292
+293    Returns:
+294        The new, available name.
+295    """
+296    if base not in taken:
+297        return base
+298
+299    i = 2
+300    new = f"{base}_{i}"
+301    while new in taken:
+302        i += 1
+303        new = f"{base}_{i}"
+304
+305    return new
 306
-307def name_sequence(prefix: str) -> t.Callable[[], str]:
-308    """Returns a name generator given a prefix (e.g. a0, a1, a2, ... if the prefix is "a")."""
-309    sequence = count()
-310    return lambda: f"{prefix}{next(sequence)}"
-311
+307
+308def name_sequence(prefix: str) -> t.Callable[[], str]:
+309    """Returns a name generator given a prefix (e.g. a0, a1, a2, ... if the prefix is "a")."""
+310    sequence = count()
+311    return lambda: f"{prefix}{next(sequence)}"
 312
-313def object_to_dict(obj: t.Any, **kwargs) -> t.Dict:
-314    """Returns a dictionary created from an object's attributes."""
-315    return {
-316        **{k: v.copy() if hasattr(v, "copy") else copy(v) for k, v in vars(obj).items()},
-317        **kwargs,
-318    }
-319
+313
+314def object_to_dict(obj: t.Any, **kwargs) -> t.Dict:
+315    """Returns a dictionary created from an object's attributes."""
+316    return {
+317        **{k: v.copy() if hasattr(v, "copy") else copy(v) for k, v in vars(obj).items()},
+318        **kwargs,
+319    }
 320
-321def split_num_words(
-322    value: str, sep: str, min_num_words: int, fill_from_start: bool = True
-323) -> t.List[t.Optional[str]]:
-324    """
-325    Perform a split on a value and return N words as a result with `None` used for words that don't exist.
-326
-327    Args:
-328        value: the value to be split.
-329        sep: the value to use to split on.
-330        min_num_words: the minimum number of words that are going to be in the result.
-331        fill_from_start: indicates that if `None` values should be inserted at the start or end of the list.
-332
-333    Examples:
-334        >>> split_num_words("db.table", ".", 3)
-335        [None, 'db', 'table']
-336        >>> split_num_words("db.table", ".", 3, fill_from_start=False)
-337        ['db', 'table', None]
-338        >>> split_num_words("db.table", ".", 1)
-339        ['db', 'table']
-340
-341    Returns:
-342        The list of words returned by `split`, possibly augmented by a number of `None` values.
-343    """
-344    words = value.split(sep)
-345    if fill_from_start:
-346        return [None] * (min_num_words - len(words)) + words
-347    return words + [None] * (min_num_words - len(words))
-348
+321
+322def split_num_words(
+323    value: str, sep: str, min_num_words: int, fill_from_start: bool = True
+324) -> t.List[t.Optional[str]]:
+325    """
+326    Perform a split on a value and return N words as a result with `None` used for words that don't exist.
+327
+328    Args:
+329        value: the value to be split.
+330        sep: the value to use to split on.
+331        min_num_words: the minimum number of words that are going to be in the result.
+332        fill_from_start: indicates that if `None` values should be inserted at the start or end of the list.
+333
+334    Examples:
+335        >>> split_num_words("db.table", ".", 3)
+336        [None, 'db', 'table']
+337        >>> split_num_words("db.table", ".", 3, fill_from_start=False)
+338        ['db', 'table', None]
+339        >>> split_num_words("db.table", ".", 1)
+340        ['db', 'table']
+341
+342    Returns:
+343        The list of words returned by `split`, possibly augmented by a number of `None` values.
+344    """
+345    words = value.split(sep)
+346    if fill_from_start:
+347        return [None] * (min_num_words - len(words)) + words
+348    return words + [None] * (min_num_words - len(words))
 349
-350def is_iterable(value: t.Any) -> bool:
-351    """
-352    Checks if the value is an iterable, excluding the types `str` and `bytes`.
-353
-354    Examples:
-355        >>> is_iterable([1,2])
-356        True
-357        >>> is_iterable("test")
-358        False
-359
-360    Args:
-361        value: the value to check if it is an iterable.
-362
-363    Returns:
-364        A `bool` value indicating if it is an iterable.
-365    """
-366    return hasattr(value, "__iter__") and not isinstance(value, (str, bytes))
-367
+350
+351def is_iterable(value: t.Any) -> bool:
+352    """
+353    Checks if the value is an iterable, excluding the types `str` and `bytes`.
+354
+355    Examples:
+356        >>> is_iterable([1,2])
+357        True
+358        >>> is_iterable("test")
+359        False
+360
+361    Args:
+362        value: the value to check if it is an iterable.
+363
+364    Returns:
+365        A `bool` value indicating if it is an iterable.
+366    """
+367    return hasattr(value, "__iter__") and not isinstance(value, (str, bytes))
 368
-369def flatten(values: t.Iterable[t.Iterable[t.Any] | t.Any]) -> t.Iterator[t.Any]:
-370    """
-371    Flattens an iterable that can contain both iterable and non-iterable elements. Objects of
-372    type `str` and `bytes` are not regarded as iterables.
-373
-374    Examples:
-375        >>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))
-376        [1, 2, 3, 4, 5, 'bla']
-377        >>> list(flatten([1, 2, 3]))
-378        [1, 2, 3]
-379
-380    Args:
-381        values: the value to be flattened.
-382
-383    Yields:
-384        Non-iterable elements in `values`.
-385    """
-386    for value in values:
-387        if is_iterable(value):
-388            yield from flatten(value)
-389        else:
-390            yield value
-391
+369
+370def flatten(values: t.Iterable[t.Iterable[t.Any] | t.Any]) -> t.Iterator[t.Any]:
+371    """
+372    Flattens an iterable that can contain both iterable and non-iterable elements. Objects of
+373    type `str` and `bytes` are not regarded as iterables.
+374
+375    Examples:
+376        >>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))
+377        [1, 2, 3, 4, 5, 'bla']
+378        >>> list(flatten([1, 2, 3]))
+379        [1, 2, 3]
+380
+381    Args:
+382        values: the value to be flattened.
+383
+384    Yields:
+385        Non-iterable elements in `values`.
+386    """
+387    for value in values:
+388        if is_iterable(value):
+389            yield from flatten(value)
+390        else:
+391            yield value
 392
-393def dict_depth(d: t.Dict) -> int:
-394    """
-395    Get the nesting depth of a dictionary.
-396
-397    For example:
-398        >>> dict_depth(None)
-399        0
-400        >>> dict_depth({})
-401        1
-402        >>> dict_depth({"a": "b"})
-403        1
-404        >>> dict_depth({"a": {}})
-405        2
-406        >>> dict_depth({"a": {"b": {}}})
-407        3
-408
-409    Args:
-410        d (dict): dictionary
-411
-412    Returns:
-413        int: depth
-414    """
-415    try:
-416        return 1 + dict_depth(next(iter(d.values())))
-417    except AttributeError:
-418        # d doesn't have attribute "values"
-419        return 0
-420    except StopIteration:
-421        # d.values() returns an empty sequence
-422        return 1
-423
+393
+394def dict_depth(d: t.Dict) -> int:
+395    """
+396    Get the nesting depth of a dictionary.
+397
+398    For example:
+399        >>> dict_depth(None)
+400        0
+401        >>> dict_depth({})
+402        1
+403        >>> dict_depth({"a": "b"})
+404        1
+405        >>> dict_depth({"a": {}})
+406        2
+407        >>> dict_depth({"a": {"b": {}}})
+408        3
+409
+410    Args:
+411        d (dict): dictionary
+412
+413    Returns:
+414        int: depth
+415    """
+416    try:
+417        return 1 + dict_depth(next(iter(d.values())))
+418    except AttributeError:
+419        # d doesn't have attribute "values"
+420        return 0
+421    except StopIteration:
+422        # d.values() returns an empty sequence
+423        return 1
 424
-425def first(it: t.Iterable[T]) -> T:
-426    """Returns the first element from an iterable.
-427
-428    Useful for sets.
-429    """
-430    return next(i for i in it)
-431
-432
-433def case_sensitive(text: str, dialect: DialectType) -> bool:
-434    """Checks if text contains any case sensitive characters depending on dialect."""
-435    from sqlglot.dialects.dialect import RESOLVES_IDENTIFIERS_AS_UPPERCASE
-436
-437    unsafe = str.islower if dialect in RESOLVES_IDENTIFIERS_AS_UPPERCASE else str.isupper
-438    return any(unsafe(char) for char in text)
-439
-440
-441def should_identify(text: str, identify: str | bool, dialect: DialectType = None) -> bool:
-442    """Checks if text should be identified given an identify option.
-443
-444    Args:
-445        text: the text to check.
-446        identify:
-447            "always" or `True`: always returns true.
-448            "safe": true if there is no uppercase or lowercase character in `text`, depending on `dialect`.
-449        dialect: the dialect to use in order to decide whether a text should be identified.
-450
-451    Returns:
-452        Whether or not a string should be identified.
-453    """
-454    if identify is True or identify == "always":
-455        return True
-456    if identify == "safe":
-457        return not case_sensitive(text, dialect)
-458    return False
+425
+426def first(it: t.Iterable[T]) -> T:
+427    """Returns the first element from an iterable.
+428
+429    Useful for sets.
+430    """
+431    return next(i for i in it)
    @@ -595,11 +562,11 @@ - 
    26class AutoName(Enum):
-27    """This is used for creating enum classes where `auto()` is the string form of the corresponding value's name."""
-28
-29    def _generate_next_value_(name, _start, _count, _last_values):
-30        return name
+            
    25class AutoName(Enum):
+26    """This is used for creating enum classes where `auto()` is the string form of the corresponding value's name."""
+27
+28    def _generate_next_value_(name, _start, _count, _last_values):
+29        return name
 
    
 
 
@@ -629,12 +596,12 @@
    - 
    33def seq_get(seq: t.Sequence[T], index: int) -> t.Optional[T]:
-34    """Returns the value in `seq` at position `index`, or `None` if `index` is out of bounds."""
-35    try:
-36        return seq[index]
-37    except IndexError:
-38        return None
+            
    32def seq_get(seq: t.Sequence[T], index: int) -> t.Optional[T]:
+33    """Returns the value in `seq` at position `index`, or `None` if `index` is out of bounds."""
+34    try:
+35        return seq[index]
+36    except IndexError:
+37        return None
 
    
 
 
@@ -654,22 +621,22 @@
    - 
    51def ensure_list(value):
-52    """
-53    Ensures that a value is a list, otherwise casts or wraps it into one.
-54
-55    Args:
-56        value: the value of interest.
-57
-58    Returns:
-59        The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.
-60    """
-61    if value is None:
-62        return []
-63    if isinstance(value, (list, tuple)):
-64        return list(value)
-65
-66    return [value]
+            
    50def ensure_list(value):
+51    """
+52    Ensures that a value is a list, otherwise casts or wraps it into one.
+53
+54    Args:
+55        value: the value of interest.
+56
+57    Returns:
+58        The value cast as a list if it's a list or a tuple, or else the value wrapped in a list.
+59    """
+60    if value is None:
+61        return []
+62    if isinstance(value, (list, tuple)):
+63        return list(value)
+64
+65    return [value]
 
    
 
 
@@ -701,21 +668,21 @@
    - 
    79def ensure_collection(value):
-80    """
-81    Ensures that a value is a collection (excluding `str` and `bytes`), otherwise wraps it into a list.
-82
-83    Args:
-84        value: the value of interest.
-85
-86    Returns:
-87        The value if it's a collection, or else the value wrapped in a list.
-88    """
-89    if value is None:
-90        return []
-91    return (
-92        value if isinstance(value, Collection) and not isinstance(value, (str, bytes)) else [value]
-93    )
+            
    78def ensure_collection(value):
+79    """
+80    Ensures that a value is a collection (excluding `str` and `bytes`), otherwise wraps it into a list.
+81
+82    Args:
+83        value: the value of interest.
+84
+85    Returns:
+86        The value if it's a collection, or else the value wrapped in a list.
+87    """
+88    if value is None:
+89        return []
+90    return (
+91        value if isinstance(value, Collection) and not isinstance(value, (str, bytes)) else [value]
+92    )
 
    
 
 
@@ -747,18 +714,18 @@
    - 
     96def csv(*args: str, sep: str = ", ") -> str:
- 97    """
- 98    Formats any number of string arguments as CSV.
- 99
-100    Args:
-101        args: the string arguments to format.
-102        sep: the argument separator.
-103
-104    Returns:
-105        The arguments formatted as a CSV string.
-106    """
-107    return sep.join(arg for arg in args if arg)
+            
     95def csv(*args: str, sep: str = ", ") -> str:
+ 96    """
+ 97    Formats any number of string arguments as CSV.
+ 98
+ 99    Args:
+100        args: the string arguments to format.
+101        sep: the argument separator.
+102
+103    Returns:
+104        The arguments formatted as a CSV string.
+105    """
+106    return sep.join(arg for arg in args if arg)
 
    
 
 
@@ -791,29 +758,29 @@
    - 
    110def subclasses(
-111    module_name: str,
-112    classes: t.Type | t.Tuple[t.Type, ...],
-113    exclude: t.Type | t.Tuple[t.Type, ...] = (),
-114) -> t.List[t.Type]:
-115    """
-116    Returns all subclasses for a collection of classes, possibly excluding some of them.
-117
-118    Args:
-119        module_name: the name of the module to search for subclasses in.
-120        classes: class(es) we want to find the subclasses of.
-121        exclude: class(es) we want to exclude from the returned list.
-122
-123    Returns:
-124        The target subclasses.
-125    """
-126    return [
-127        obj
-128        for _, obj in inspect.getmembers(
-129            sys.modules[module_name],
-130            lambda obj: inspect.isclass(obj) and issubclass(obj, classes) and obj not in exclude,
-131        )
-132    ]
+            
    109def subclasses(
+110    module_name: str,
+111    classes: t.Type | t.Tuple[t.Type, ...],
+112    exclude: t.Type | t.Tuple[t.Type, ...] = (),
+113) -> t.List[t.Type]:
+114    """
+115    Returns all subclasses for a collection of classes, possibly excluding some of them.
+116
+117    Args:
+118        module_name: the name of the module to search for subclasses in.
+119        classes: class(es) we want to find the subclasses of.
+120        exclude: class(es) we want to exclude from the returned list.
+121
+122    Returns:
+123        The target subclasses.
+124    """
+125    return [
+126        obj
+127        for _, obj in inspect.getmembers(
+128            sys.modules[module_name],
+129            lambda obj: inspect.isclass(obj) and issubclass(obj, classes) and obj not in exclude,
+130        )
+131    ]
 
    
 
 
@@ -847,52 +814,52 @@
    - 
    135def apply_index_offset(
-136    this: exp.Expression,
-137    expressions: t.List[t.Optional[E]],
-138    offset: int,
-139) -> t.List[t.Optional[E]]:
-140    """
-141    Applies an offset to a given integer literal expression.
-142
-143    Args:
-144        this: the target of the index
-145        expressions: the expression the offset will be applied to, wrapped in a list.
-146        offset: the offset that will be applied.
-147
-148    Returns:
-149        The original expression with the offset applied to it, wrapped in a list. If the provided
-150        `expressions` argument contains more than one expressions, it's returned unaffected.
-151    """
-152    if not offset or len(expressions) != 1:
-153        return expressions
-154
-155    expression = expressions[0]
-156
-157    from sqlglot import exp
-158    from sqlglot.optimizer.annotate_types import annotate_types
-159    from sqlglot.optimizer.simplify import simplify
-160
-161    if not this.type:
-162        annotate_types(this)
-163
-164    if t.cast(exp.DataType, this.type).this not in (
-165        exp.DataType.Type.UNKNOWN,
-166        exp.DataType.Type.ARRAY,
-167    ):
-168        return expressions
-169
-170    if expression:
-171        if not expression.type:
-172            annotate_types(expression)
-173        if t.cast(exp.DataType, expression.type).this in exp.DataType.INTEGER_TYPES:
-174            logger.warning("Applying array index offset (%s)", offset)
-175            expression = simplify(
-176                exp.Add(this=expression.copy(), expression=exp.Literal.number(offset))
-177            )
-178            return [expression]
-179
-180    return expressions
+            
    134def apply_index_offset(
+135    this: exp.Expression,
+136    expressions: t.List[t.Optional[E]],
+137    offset: int,
+138) -> t.List[t.Optional[E]]:
+139    """
+140    Applies an offset to a given integer literal expression.
+141
+142    Args:
+143        this: the target of the index
+144        expressions: the expression the offset will be applied to, wrapped in a list.
+145        offset: the offset that will be applied.
+146
+147    Returns:
+148        The original expression with the offset applied to it, wrapped in a list. If the provided
+149        `expressions` argument contains more than one expressions, it's returned unaffected.
+150    """
+151    if not offset or len(expressions) != 1:
+152        return expressions
+153
+154    expression = expressions[0]
+155
+156    from sqlglot import exp
+157    from sqlglot.optimizer.annotate_types import annotate_types
+158    from sqlglot.optimizer.simplify import simplify
+159
+160    if not this.type:
+161        annotate_types(this)
+162
+163    if t.cast(exp.DataType, this.type).this not in (
+164        exp.DataType.Type.UNKNOWN,
+165        exp.DataType.Type.ARRAY,
+166    ):
+167        return expressions
+168
+169    if expression:
+170        if not expression.type:
+171            annotate_types(expression)
+172        if t.cast(exp.DataType, expression.type).this in exp.DataType.INTEGER_TYPES:
+173            logger.warning("Applying array index offset (%s)", offset)
+174            expression = simplify(
+175                exp.Add(this=expression.copy(), expression=exp.Literal.number(offset))
+176            )
+177            return [expression]
+178
+179    return expressions
 
    
 
 
@@ -927,9 +894,9 @@
    - 
    183def camel_to_snake_case(name: str) -> str:
-184    """Converts `name` from camelCase to snake_case and returns the result."""
-185    return CAMEL_CASE_PATTERN.sub("_", name).upper()
+            
    182def camel_to_snake_case(name: str) -> str:
+183    """Converts `name` from camelCase to snake_case and returns the result."""
+184    return CAMEL_CASE_PATTERN.sub("_", name).upper()
 
    
 
 
@@ -949,28 +916,28 @@
    - 
    188def while_changing(expression: Expression, func: t.Callable[[Expression], E]) -> E:
-189    """
-190    Applies a transformation to a given expression until a fix point is reached.
-191
-192    Args:
-193        expression: the expression to be transformed.
-194        func: the transformation to be applied.
-195
-196    Returns:
-197        The transformed expression.
-198    """
-199    while True:
-200        for n, *_ in reversed(tuple(expression.walk())):
-201            n._hash = hash(n)
-202        start = hash(expression)
-203        expression = func(expression)
-204
-205        for n, *_ in expression.walk():
-206            n._hash = None
-207        if start == hash(expression):
-208            break
-209    return expression
+            
    187def while_changing(expression: Expression, func: t.Callable[[Expression], E]) -> E:
+188    """
+189    Applies a transformation to a given expression until a fix point is reached.
+190
+191    Args:
+192        expression: the expression to be transformed.
+193        func: the transformation to be applied.
+194
+195    Returns:
+196        The transformed expression.
+197    """
+198    while True:
+199        for n, *_ in reversed(tuple(expression.walk())):
+200            n._hash = hash(n)
+201        start = hash(expression)
+202        expression = func(expression)
+203
+204        for n, *_ in expression.walk():
+205            n._hash = None
+206        if start == hash(expression):
+207            break
+208    return expression
 
    
 
 
@@ -997,42 +964,44 @@
 
    
             
         def
-        tsort(dag: Dict[~T, List[~T]]) -> List[~T]:
+        tsort(dag: Dict[~T, Set[~T]]) -> List[~T]:
 
                 
 
     
    
     
-            
    212def tsort(dag: t.Dict[T, t.List[T]]) -> t.List[T]:
-213    """
-214    Sorts a given directed acyclic graph in topological order.
-215
-216    Args:
-217        dag: the graph to be sorted.
-218
-219    Returns:
-220        A list that contains all of the graph's nodes in topological order.
-221    """
-222    result = []
-223
-224    def visit(node: T, visited: t.Set[T]) -> None:
-225        if node in result:
-226            return
-227        if node in visited:
-228            raise ValueError("Cycle error")
-229
-230        visited.add(node)
-231
-232        for dep in dag.get(node, []):
-233            visit(dep, visited)
-234
-235        visited.remove(node)
-236        result.append(node)
-237
-238    for node in dag:
-239        visit(node, set())
-240
-241    return result
+            
    211def tsort(dag: t.Dict[T, t.Set[T]]) -> t.List[T]:
+212    """
+213    Sorts a given directed acyclic graph in topological order.
+214
+215    Args:
+216        dag: the graph to be sorted.
+217
+218    Returns:
+219        A list that contains all of the graph's nodes in topological order.
+220    """
+221    result = []
+222
+223    for node, deps in tuple(dag.items()):
+224        for dep in deps:
+225            if not dep in dag:
+226                dag[dep] = set()
+227
+228    while dag:
+229        current = {node for node, deps in dag.items() if not deps}
+230
+231        if not current:
+232            raise ValueError("Cycle error")
+233
+234        for node in current:
+235            dag.pop(node)
+236
+237        for deps in dag.values():
+238            deps -= current
+239
+240        result.extend(sorted(current))  # type: ignore
+241
+242    return result
 
    
 
 
@@ -1064,17 +1033,17 @@
 
     
    
     
-            
    244def open_file(file_name: str) -> t.TextIO:
-245    """Open a file that may be compressed as gzip and return it in universal newline mode."""
-246    with open(file_name, "rb") as f:
-247        gzipped = f.read(2) == b"\x1f\x8b"
-248
-249    if gzipped:
-250        import gzip
-251
-252        return gzip.open(file_name, "rt", newline="")
-253
-254    return open(file_name, encoding="utf-8", newline="")
+            
    245def open_file(file_name: str) -> t.TextIO:
+246    """Open a file that may be compressed as gzip and return it in universal newline mode."""
+247    with open(file_name, "rb") as f:
+248        gzipped = f.read(2) == b"\x1f\x8b"
+249
+250    if gzipped:
+251        import gzip
+252
+253        return gzip.open(file_name, "rt", newline="")
+254
+255    return open(file_name, encoding="utf-8", newline="")
 
    
 
 
@@ -1095,32 +1064,32 @@
 
     
    
     
-            
    257@contextmanager
-258def csv_reader(read_csv: exp.ReadCSV) -> t.Any:
-259    """
-260    Returns a csv reader given the expression `READ_CSV(name, ['delimiter', '|', ...])`.
-261
-262    Args:
-263        read_csv: a `ReadCSV` function call
-264
-265    Yields:
-266        A python csv reader.
-267    """
-268    args = read_csv.expressions
-269    file = open_file(read_csv.name)
-270
-271    delimiter = ","
-272    args = iter(arg.name for arg in args)
-273    for k, v in zip(args, args):
-274        if k == "delimiter":
-275            delimiter = v
-276
-277    try:
-278        import csv as csv_
-279
-280        yield csv_.reader(file, delimiter=delimiter)
-281    finally:
-282        file.close()
+            
    258@contextmanager
+259def csv_reader(read_csv: exp.ReadCSV) -> t.Any:
+260    """
+261    Returns a csv reader given the expression `READ_CSV(name, ['delimiter', '|', ...])`.
+262
+263    Args:
+264        read_csv: a `ReadCSV` function call
+265
+266    Yields:
+267        A python csv reader.
+268    """
+269    args = read_csv.expressions
+270    file = open_file(read_csv.name)
+271
+272    delimiter = ","
+273    args = iter(arg.name for arg in args)
+274    for k, v in zip(args, args):
+275        if k == "delimiter":
+276            delimiter = v
+277
+278    try:
+279        import csv as csv_
+280
+281        yield csv_.reader(file, delimiter=delimiter)
+282    finally:
+283        file.close()
 
    
 
 
@@ -1152,27 +1121,27 @@
 
     
    
     
-            
    285def find_new_name(taken: t.Collection[str], base: str) -> str:
-286    """
-287    Searches for a new name.
-288
-289    Args:
-290        taken: a collection of taken names.
-291        base: base name to alter.
-292
-293    Returns:
-294        The new, available name.
-295    """
-296    if base not in taken:
-297        return base
-298
-299    i = 2
-300    new = f"{base}_{i}"
-301    while new in taken:
-302        i += 1
-303        new = f"{base}_{i}"
-304
-305    return new
+            
    286def find_new_name(taken: t.Collection[str], base: str) -> str:
+287    """
+288    Searches for a new name.
+289
+290    Args:
+291        taken: a collection of taken names.
+292        base: base name to alter.
+293
+294    Returns:
+295        The new, available name.
+296    """
+297    if base not in taken:
+298        return base
+299
+300    i = 2
+301    new = f"{base}_{i}"
+302    while new in taken:
+303        i += 1
+304        new = f"{base}_{i}"
+305
+306    return new
 
    
 
 
@@ -1205,10 +1174,10 @@
 
     
    
     
-            
    308def name_sequence(prefix: str) -> t.Callable[[], str]:
-309    """Returns a name generator given a prefix (e.g. a0, a1, a2, ... if the prefix is "a")."""
-310    sequence = count()
-311    return lambda: f"{prefix}{next(sequence)}"
+            
    309def name_sequence(prefix: str) -> t.Callable[[], str]:
+310    """Returns a name generator given a prefix (e.g. a0, a1, a2, ... if the prefix is "a")."""
+311    sequence = count()
+312    return lambda: f"{prefix}{next(sequence)}"
 
    
 
 
@@ -1228,12 +1197,12 @@
 
     
    
     
-            
    314def object_to_dict(obj: t.Any, **kwargs) -> t.Dict:
-315    """Returns a dictionary created from an object's attributes."""
-316    return {
-317        **{k: v.copy() if hasattr(v, "copy") else copy(v) for k, v in vars(obj).items()},
-318        **kwargs,
-319    }
+            
    315def object_to_dict(obj: t.Any, **kwargs) -> t.Dict:
+316    """Returns a dictionary created from an object's attributes."""
+317    return {
+318        **{k: v.copy() if hasattr(v, "copy") else copy(v) for k, v in vars(obj).items()},
+319        **kwargs,
+320    }
 
    
 
 
@@ -1253,33 +1222,33 @@
 
     
    
     
-            
    322def split_num_words(
-323    value: str, sep: str, min_num_words: int, fill_from_start: bool = True
-324) -> t.List[t.Optional[str]]:
-325    """
-326    Perform a split on a value and return N words as a result with `None` used for words that don't exist.
-327
-328    Args:
-329        value: the value to be split.
-330        sep: the value to use to split on.
-331        min_num_words: the minimum number of words that are going to be in the result.
-332        fill_from_start: indicates that if `None` values should be inserted at the start or end of the list.
-333
-334    Examples:
-335        >>> split_num_words("db.table", ".", 3)
-336        [None, 'db', 'table']
-337        >>> split_num_words("db.table", ".", 3, fill_from_start=False)
-338        ['db', 'table', None]
-339        >>> split_num_words("db.table", ".", 1)
-340        ['db', 'table']
-341
-342    Returns:
-343        The list of words returned by `split`, possibly augmented by a number of `None` values.
-344    """
-345    words = value.split(sep)
-346    if fill_from_start:
-347        return [None] * (min_num_words - len(words)) + words
-348    return words + [None] * (min_num_words - len(words))
+            
    323def split_num_words(
+324    value: str, sep: str, min_num_words: int, fill_from_start: bool = True
+325) -> t.List[t.Optional[str]]:
+326    """
+327    Perform a split on a value and return N words as a result with `None` used for words that don't exist.
+328
+329    Args:
+330        value: the value to be split.
+331        sep: the value to use to split on.
+332        min_num_words: the minimum number of words that are going to be in the result.
+333        fill_from_start: indicates that if `None` values should be inserted at the start or end of the list.
+334
+335    Examples:
+336        >>> split_num_words("db.table", ".", 3)
+337        [None, 'db', 'table']
+338        >>> split_num_words("db.table", ".", 3, fill_from_start=False)
+339        ['db', 'table', None]
+340        >>> split_num_words("db.table", ".", 1)
+341        ['db', 'table']
+342
+343    Returns:
+344        The list of words returned by `split`, possibly augmented by a number of `None` values.
+345    """
+346    words = value.split(sep)
+347    if fill_from_start:
+348        return [None] * (min_num_words - len(words)) + words
+349    return words + [None] * (min_num_words - len(words))
 
    
 
 
@@ -1328,23 +1297,23 @@
 
     
    
     
-            
    351def is_iterable(value: t.Any) -> bool:
-352    """
-353    Checks if the value is an iterable, excluding the types `str` and `bytes`.
-354
-355    Examples:
-356        >>> is_iterable([1,2])
-357        True
-358        >>> is_iterable("test")
-359        False
-360
-361    Args:
-362        value: the value to check if it is an iterable.
-363
-364    Returns:
-365        A `bool` value indicating if it is an iterable.
-366    """
-367    return hasattr(value, "__iter__") and not isinstance(value, (str, bytes))
+            
    352def is_iterable(value: t.Any) -> bool:
+353    """
+354    Checks if the value is an iterable, excluding the types `str` and `bytes`.
+355
+356    Examples:
+357        >>> is_iterable([1,2])
+358        True
+359        >>> is_iterable("test")
+360        False
+361
+362    Args:
+363        value: the value to check if it is an iterable.
+364
+365    Returns:
+366        A `bool` value indicating if it is an iterable.
+367    """
+368    return hasattr(value, "__iter__") and not isinstance(value, (str, bytes))
 
    
 
 
@@ -1388,28 +1357,28 @@
 
     
    
     
-            
    370def flatten(values: t.Iterable[t.Iterable[t.Any] | t.Any]) -> t.Iterator[t.Any]:
-371    """
-372    Flattens an iterable that can contain both iterable and non-iterable elements. Objects of
-373    type `str` and `bytes` are not regarded as iterables.
-374
-375    Examples:
-376        >>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))
-377        [1, 2, 3, 4, 5, 'bla']
-378        >>> list(flatten([1, 2, 3]))
-379        [1, 2, 3]
-380
-381    Args:
-382        values: the value to be flattened.
-383
-384    Yields:
-385        Non-iterable elements in `values`.
-386    """
-387    for value in values:
-388        if is_iterable(value):
-389            yield from flatten(value)
-390        else:
-391            yield value
+            
    371def flatten(values: t.Iterable[t.Iterable[t.Any] | t.Any]) -> t.Iterator[t.Any]:
+372    """
+373    Flattens an iterable that can contain both iterable and non-iterable elements. Objects of
+374    type `str` and `bytes` are not regarded as iterables.
+375
+376    Examples:
+377        >>> list(flatten([[1, 2], 3, {4}, (5, "bla")]))
+378        [1, 2, 3, 4, 5, 'bla']
+379        >>> list(flatten([1, 2, 3]))
+380        [1, 2, 3]
+381
+382    Args:
+383        values: the value to be flattened.
+384
+385    Yields:
+386        Non-iterable elements in `values`.
+387    """
+388    for value in values:
+389        if is_iterable(value):
+390            yield from flatten(value)
+391        else:
+392            yield value
 
    
 
 
@@ -1454,36 +1423,36 @@ type str and bytes are not regarded as iterables.
    
 
     
    
     
-            
    394def dict_depth(d: t.Dict) -> int:
-395    """
-396    Get the nesting depth of a dictionary.
-397
-398    For example:
-399        >>> dict_depth(None)
-400        0
-401        >>> dict_depth({})
-402        1
-403        >>> dict_depth({"a": "b"})
-404        1
-405        >>> dict_depth({"a": {}})
-406        2
-407        >>> dict_depth({"a": {"b": {}}})
-408        3
-409
-410    Args:
-411        d (dict): dictionary
-412
-413    Returns:
-414        int: depth
-415    """
-416    try:
-417        return 1 + dict_depth(next(iter(d.values())))
-418    except AttributeError:
-419        # d doesn't have attribute "values"
-420        return 0
-421    except StopIteration:
-422        # d.values() returns an empty sequence
-423        return 1
+            
    395def dict_depth(d: t.Dict) -> int:
+396    """
+397    Get the nesting depth of a dictionary.
+398
+399    For example:
+400        >>> dict_depth(None)
+401        0
+402        >>> dict_depth({})
+403        1
+404        >>> dict_depth({"a": "b"})
+405        1
+406        >>> dict_depth({"a": {}})
+407        2
+408        >>> dict_depth({"a": {"b": {}}})
+409        3
+410
+411    Args:
+412        d (dict): dictionary
+413
+414    Returns:
+415        int: depth
+416    """
+417    try:
+418        return 1 + dict_depth(next(iter(d.values())))
+419    except AttributeError:
+420        # d doesn't have attribute "values"
+421        return 0
+422    except StopIteration:
+423        # d.values() returns an empty sequence
+424        return 1
 
    
 
 
@@ -1533,12 +1502,12 @@ type str and bytes are not regarded as iterables.
    
 
     
    
     
-            
    426def first(it: t.Iterable[T]) -> T:
-427    """Returns the first element from an iterable.
-428
-429    Useful for sets.
-430    """
-431    return next(i for i in it)
+            
    427def first(it: t.Iterable[T]) -> T:
+428    """Returns the first element from an iterable.
+429
+430    Useful for sets.
+431    """
+432    return next(i for i in it)
 
    
 
 
@@ -1548,83 +1517,6 @@ type str and bytes are not regarded as iterables.
    
 
    
 
 
-                
-                
    
-                            
-
    
-            
-        def
-        case_sensitive(	text: str,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType]) -> bool:
-
-                
-
-    
    
-    
-            
    434def case_sensitive(text: str, dialect: DialectType) -> bool:
-435    """Checks if text contains any case sensitive characters depending on dialect."""
-436    from sqlglot.dialects.dialect import RESOLVES_IDENTIFIERS_AS_UPPERCASE
-437
-438    unsafe = str.islower if dialect in RESOLVES_IDENTIFIERS_AS_UPPERCASE else str.isupper
-439    return any(unsafe(char) for char in text)
-
    
-
-
-            
    Checks if text contains any case sensitive characters depending on dialect.
    
-
    
-
-
-                
    
-                
    
-                            
-
    
-            
-        def
-        should_identify(	text: str,	identify: str | bool,	dialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> bool:
-
-                
-
-    
    
-    
-            
    442def should_identify(text: str, identify: str | bool, dialect: DialectType = None) -> bool:
-443    """Checks if text should be identified given an identify option.
-444
-445    Args:
-446        text: the text to check.
-447        identify:
-448            "always" or `True`: always returns true.
-449            "safe": true if there is no uppercase or lowercase character in `text`, depending on `dialect`.
-450        dialect: the dialect to use in order to decide whether a text should be identified.
-451
-452    Returns:
-453        Whether or not a string should be identified.
-454    """
-455    if identify is True or identify == "always":
-456        return True
-457    if identify == "safe":
-458        return not case_sensitive(text, dialect)
-459    return False
-
    
-
-
-            
    Checks if text should be identified given an identify option.
    
-
-
    Arguments:
    
-
-
      
-
    • text:  the text to check.
      • 
-
    • identify:  "always" or True: always returns true.
-"safe": true if there is no uppercase or lowercase character in text, depending on dialect.
      • 
-
    • dialect:  the dialect to use in order to decide whether a text should be identified.
      • 
-
    
-
-
    Returns:
    
-
-
    
-  
    Whether or not a string should be identified.
    
-
    
-
    
-
-