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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.

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

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Install
Versioning
Get in Touch
Examples\n
- Formatting and Transpiling
- Metadata
- Parser Errors
- Unsupported Errors
- Build and Modify SQL
- SQL Optimizer
- AST Introspection
- AST Diff
- Custom Dialects
- SQL Execution
Used By
Documentation
Run Tests and Lint
Benchmarks
Optional Dependencies

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

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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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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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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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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

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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

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

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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

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/* 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

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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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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

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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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import sqlglot\nsqlglot.transpile("SELECT foo( FROM bar")\n

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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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import sqlglot\ntry:\n    sqlglot.transpile("SELECT foo( FROM bar")\nexcept sqlglot.errors.ParseError as e:\n    print(e.errors)\n

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[{\n  'description': 'Expecting )',\n  'line': 1,\n  'col': 13,\n  'start_context': 'SELECT foo( ',\n  'highlight': 'FROM',\n  'end_context': ' bar'\n}]\n

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Unsupported Errors

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

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import sqlglot\nsqlglot.transpile("SELECT APPROX_DISTINCT(a, 0.1) FROM foo", read="presto", write="hive")\n

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APPROX_COUNT_DISTINCT does not support accuracy\n'SELECT APPROX_COUNT_DISTINCT(a) FROM foo'\n

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Build and Modify SQL

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SQLGlot supports incrementally building sql expressions:

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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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'SELECT x FROM y, 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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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

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'SELECT FUN(a) FROM x'\n

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SQL Optimizer

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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:

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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

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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

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AST Introspection

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

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from sqlglot import parse_one\nprint(repr(parse_one("SELECT a + 1 AS z")))\n

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(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

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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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from sqlglot import diff, parse_one\ndiff(parse_one("SELECT a + b, c, d"), parse_one("SELECT c, a - b, d"))\n

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[\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

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Custom Dialects

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Dialects can be added by subclassing Dialect:

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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

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<class '__main__.Custom'>\n

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SQL Execution

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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:

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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

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user_id price\n      1   4.0\n      2   3.0\n

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Used By

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Documentation

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SQLGlot uses pdoc to serve its API documentation:

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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.

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Query	sqlglot	sqlfluff	sqltree	sqlparse	moz_sql_parser	sqloxide
tpch	0.01308 (1.0)	1.60626 (122.7)	0.01168 (0.893)	0.04958 (3.791)	0.08543 (6.531)	0.00136 (0.104)
short	0.00109 (1.0)	0.14134 (129.2)	0.00099 (0.906)	0.00342 (3.131)	0.00652 (5.970)	8.76E-5 (0.080)
long	0.01399 (1.0)	2.12632 (151.9)	0.01126 (0.805)	0.04410 (3.151)	0.06671 (4.767)	0.00107 (0.076)
crazy	0.03969 (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:

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

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Returns:

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The resulting syntax tree collection.
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\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.

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Arguments:

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

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Returns:

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The syntax tree for the first parsed statement.
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\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.

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Arguments:

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sql: the SQL code string to transpile.
read: the source dialect used to parse the input string (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
write: the target dialect into which the input should be transformed (eg. \"spark\", \"hive\", \"presto\", \"mysql\").
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.
error_level: the desired error level of the parser.
**opts: other sqlglot.generator.Generator options.

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Returns:

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The list of transpiled SQL statements.
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\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

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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>).\n
- The column structure can be defined the following ways:\n
  - Dictionary where the keys are column names and values are string of the Spark SQL type name.\n
    - Ex: {'cola': 'string', 'colb': 'int'}
  - PySpark DataFrame StructType similar to when using createDataFrame.\n
    - Ex: StructType([StructField('cola', StringType()), StructField('colb', IntegerType())])
  - A string of names and types similar to what is supported in createDataFrame.\n
    - Ex: cola: STRING, colb: INT
  - [Not Recommended] A list of string column names without type.\n
    - Ex: ['cola', 'colb']
    - The lack of types may limit functionality in future releases.
- See Registering Custom Schema for information on how to skip this step if the information is stored externally.
Add .sql(pretty=True) to your final DataFrame command to return a list of sql statements to run that command.\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.
- Spark is the default output dialect. See dialects for a full list of dialects.
- Ex: .sql(pretty=True, dialect='bigquery')

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Examples

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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

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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

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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.

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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

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Example Implementations

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Bigquery

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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

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Snowflake

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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

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Spark

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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

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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='139684976777040'>], List[<MagicMock id='139684976777040'>], Tuple]],\tschema: Optional[<MagicMock id='139684976987632'>] = 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='139684981920560'>,\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='139684981549680'>] = 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": "

\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='139684977266160'>,\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='139684977728224'>], <MagicMock id='139684977728224'>, 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='139684976134272'>],\t*cols: <MagicMock id='139684975680992'>) -> 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='139684979775312'>, 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='139684975891488'>, 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='139684975947792'>, 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='139684976195040'>],\tfunc_name: str,\t*args: Optional[<MagicMock id='139684976104048'>]) -> 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='139684976054896'>],\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='139684975964368'>,\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='139684976270528'>,\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": "

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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": "

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\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": "

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\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='139684976455936'>, Iterable[<MagicMock id='139684976455936'>]]):", "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='139684976541168'>,\tupperBound: <MagicMock id='139684976612096'>) -> 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='139684976653312'>) -> 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='139684973733504'>, List[<MagicMock id='139684973733504'>]]) -> 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='139684973580960'>, List[<MagicMock id='139684973580960'>]]) -> 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": "

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\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": "

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\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='139684973878944'>, List[<MagicMock id='139684973878944'>]]) -> 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='139684973929056'>, List[<MagicMock id='139684973929056'>]]) -> 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": "

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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

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

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": "

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

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

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\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.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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\n", "bases": "sqlglot.generator.Generator"}, "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.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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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.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.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.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.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.Dialect": {"fullname": "sqlglot.dialects.dialect.Dialect", "modulename": "sqlglot.dialects.dialect", "qualname": "Dialect", "kind": "class", "doc": "

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

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

\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": "

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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

exp_class: the expression class to instantiate.
dialect: target sql dialect.
default: the default format, True being time.

\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[bool, str, 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.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.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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\n", "bases": "sqlglot.generator.Generator"}, "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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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.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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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.coalesce_sql": {"fullname": "sqlglot.dialects.tableau.Tableau.Generator.coalesce_sql", "modulename": "sqlglot.dialects.tableau", "qualname": "Tableau.Generator.coalesce_sql", "kind": "function", "doc": "

\n", "signature": "(self, expression: sqlglot.expressions.Coalesce) -> 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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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

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.
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.
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

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

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

\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

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.
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.

\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

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

\n\n

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

\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

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

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

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

The node labels match (in our case labels are just node types).
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.

\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

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

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

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

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

Rather than ranking a set of possible candidates, we pick the first node pair that passes the matching criteria.
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

$\"Figure$ \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

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.
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

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

\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

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

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

\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

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

Traversing the matching set requires a little more thought:

\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

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

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

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

>>> 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

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

>>> 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

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

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.
Cache bigram histograms to avoid computing them more than once for the same node.
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

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

>>> 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

Arguments:

\n\n

source: the source expression.
target: the target expression against which the diff should be calculated.
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

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

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

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

\n\n

How?

\n\n

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

\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

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

It's easier to debug and validate the optimizations when the input and output are both SQL.
Rules can be applied a la carte to transform SQL into a more desirable form.
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).

\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

Adds all db/catalog qualifiers to tables and forces an alias.
Ensure each column is unambiguous and expand stars.

\n\n

SELECT * FROM x;\n\nSELECT "db"."x" AS "x";\n

\n\n

simplify

\n\n

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

\n\n

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

\n\n

normalize

\n\n

Attempts to convert all predicates into conjunctive normal form.

\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

unnest_subqueries

\n\n

Converts subqueries in predicates into joins.

\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

pushdown_predicates

\n\n

Push down filters into the innermost query.

\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

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

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

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

\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

key: a unique key for each class in the Expression hierarchy. This is useful for hashing\nand representing expressions as strings.
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.
parent: a reference to the parent expression (or None, in case of root expressions).
arg_key: the arg key an expression is associated with, i.e. the name its parent expression\nuses to refer to it.
comments: a list of comments that are associated with a given expression. This is used in\norder to preserve comments when transpiling SQL code.
_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

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

args: a mapping used for retrieving the arguments of an expression, given their arg keys.

\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

>>> 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", "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

arg_key (str): name of the list expression arg
value (Any): value to append to the list

\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

arg_key (str): name of the expression arg.
value: value to set the arg to.

\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

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

\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

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

\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

expression_types: the expression type(s) to match.

\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

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

\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

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

\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

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.
copy (bool): if set to True a new tree instance is constructed, otherwise the tree is\nmodified in place.

\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

expression: new node

\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

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

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

>>> condition("x=1").and_("y=1").sql()\n'x = 1 AND y = 1'\n

\n\n

Arguments:

\n\n

*expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
dialect: the dialect used to parse the input expression.
copy: whether or not to copy the involved expressions (only applies to Expressions).
opts: other options to use to parse the input expressions.

\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.Expression:", "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

>>> condition("x=1").or_("y=1").sql()\n'x = 1 OR y = 1'\n

\n\n

Arguments:

\n\n

*expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
dialect: the dialect used to parse the input expression.
copy: whether or not to copy the involved expressions (only applies to Expressions).
opts: other options to use to parse the input expressions.

\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.Expression:", "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

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

\n\n

Arguments:

\n\n

copy: whether or not to copy this object.

\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

>>> 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

Arguments:

\n\n

expression: the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
distinct: set the DISTINCT flag if and only if this is true.
dialect: the dialect used to parse the input expression.
opts: other options to use to parse the input expressions.

\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

>>> 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

Arguments:

\n\n

expression: the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
distinct: set the DISTINCT flag if and only if this is true.
dialect: the dialect used to parse the input expression.
opts: other options to use to parse the input expressions.

\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

>>> 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

Arguments:

\n\n

expression: the SQL code string.\nIf an Expression instance is passed, it will be used as-is.
distinct: set the DISTINCT flag if and only if this is true.
dialect: the dialect used to parse the input expression.
opts: other options to use to parse the input expressions.

\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

>>> 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", "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

>>> delete("tbl").sql()\n'DELETE FROM tbl'\n

\n\n

Arguments:

\n\n

table: the table from which to delete.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> delete("tbl").where("x = 'a' OR x < 'b'").sql()\n"DELETE FROM tbl WHERE x = 'a' OR x < 'b'"\n

\n\n

Arguments:

\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.
append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
dialect: the dialect used to parse the input expressions.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> delete("tbl").returning("*", dialect="postgres").sql()\n'DELETE FROM tbl RETURNING *'\n

\n\n

Arguments:

\n\n

expression: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
dialect: the dialect used to parse the input expressions.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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.Unique": {"fullname": "sqlglot.expressions.Unique", "modulename": "sqlglot.expressions", "qualname": "Unique", "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

>>> 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", "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

>>> 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

Arguments:

\n\n

alias: the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
as_: the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
recursive: set the RECURSIVE part of the expression. Defaults to False.
append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> 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", "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

>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).on("y = 1").sql()\n'JOIN x ON y = 1'\n

\n\n

Arguments:

\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.
append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
dialect: the dialect used to parse the input expressions.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> import sqlglot\n>>> sqlglot.parse_one("JOIN x", into=Join).using("foo", "bla").sql()\n'JOIN x USING (foo, bla)'\n

\n\n

Arguments:

\n\n

*expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
append: if True, concatenate the new expressions to the existing \"using\" list.\nOtherwise, this resets the expression.
dialect: the dialect used to parse the input expressions.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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.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.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

>>> 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

Arguments:

\n\n

alias (str | Identifier): an optional alias for the subquery
copy (bool): if False, modify this expression instance in-place.

\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

>>> 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

Arguments:

\n\n

alias: the SQL code string to parse as the table name.\nIf an Expression instance is passed, this is used as-is.
as_: the SQL code string to parse as the table expression.\nIf an Expression instance is passed, it will be used as-is.
recursive: set the RECURSIVE part of the expression. Defaults to False.
append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> select("1").union(select("1")).limit(1).sql()\n'SELECT * FROM (SELECT 1 UNION SELECT 1) AS _l_0 LIMIT 1'\n

\n\n

Arguments:

\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.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> 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

Arguments:

\n\n

*expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
dialect: the dialect used to parse the input expressions.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> Select().from_("tbl").select("x").sql()\n'SELECT x FROM tbl'\n

\n\n

Arguments:

\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.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> Select().from_("tbl").select("x", "COUNT(1)").group_by("x").sql()\n'SELECT x, COUNT(1) FROM tbl GROUP BY x'\n

\n\n

Arguments:

\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
append: if True, add to any existing expressions.\nOtherwise, this flattens all the Group expression into a single expression.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> Select().from_("tbl").select("x").order_by("x DESC").sql()\n'SELECT x FROM tbl ORDER BY x DESC'\n

\n\n

Arguments:

\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.
append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> Select().from_("tbl").select("x").sort_by("x DESC").sql(dialect="hive")\n'SELECT x FROM tbl SORT BY x DESC'\n

\n\n

Arguments:

\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.
append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> Select().from_("tbl").select("x").cluster_by("x DESC").sql(dialect="hive")\n'SELECT x FROM tbl CLUSTER BY x DESC'\n

\n\n

Arguments:

\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.
append: if True, add to any existing expressions.\nOtherwise, this flattens all the Order expression into a single expression.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> Select().from_("tbl").select("x").limit(10).sql()\n'SELECT x FROM tbl LIMIT 10'\n

\n\n

Arguments:

\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.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> Select().from_("tbl").select("x").offset(10).sql()\n'SELECT x FROM tbl OFFSET 10'\n

\n\n

Arguments:

\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.
dialect: the dialect used to parse the input expression.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> Select().select("x", "y").sql()\n'SELECT x, y'\n

\n\n

Arguments:

\n\n

*expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
dialect: the dialect used to parse the input expressions.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> 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

Arguments:

\n\n

*expressions: the SQL code strings to parse.\nIf an Expression instance is passed, it will be used as-is.
append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
dialect: the dialect used to parse the input expressions.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> 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

>>> 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

Use join_type to change the type of join:

\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

Arguments:

\n\n

expression: the SQL code string to parse.\nIf an Expression instance is passed, it will be used as-is.
on: optionally specify the join \"on\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
using: optionally specify the join \"using\" criteria as a SQL string.\nIf an Expression instance is passed, it will be used as-is.
append: if True, add to any existing expressions.\nOtherwise, this resets the expressions.
join_type: if set, alter the parsed join type.
join_alias: an optional alias for the joined source.
dialect: the dialect used to parse the input expressions.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> 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

Arguments:

\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.
append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
dialect: the dialect used to parse the input expressions.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> 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

Arguments:

\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.
append: if True, AND the new expressions to any existing expression.\nOtherwise, this resets the expression.
dialect: the dialect used to parse the input expressions.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input expressions.

\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

>>> Select().from_("tbl").select("x").distinct().sql()\n'SELECT DISTINCT x FROM tbl'\n

\n\n

Arguments:

\n\n

ons: the expressions to distinct on
distinct: whether the Select should be distinct
copy: if False, modify this expression instance in-place.

\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

>>> Select().select("*").from_("tbl").ctas("x").sql()\n'CREATE TABLE x AS SELECT * FROM tbl'\n

\n\n

Arguments:

\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.
properties: an optional mapping of table properties
dialect: the dialect used to parse the input table.
copy: if False, modify this expression instance in-place.
opts: other options to use to parse the input table.

\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

>>> Select().select("x").from_("tbl").where("x = 'a'").lock().sql("mysql")\n"SELECT x FROM tbl WHERE x = 'a' FOR UPDATE"\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

Arguments:

\n\n

update: if True, the locking type will be FOR UPDATE, else it will be FOR SHARE.
copy: if False, modify this expression instance in-place.

\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.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

>>> 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", "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

>>> 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", "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": "

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\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.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.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.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

>>> 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", "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

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.
_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", "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

>>> 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", "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": "(self, dtype: 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.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": "

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

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\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

>>> 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

Arguments:

\n\n

sql_or_expression: the SQL code string or an expression
into: the SQLGlot Expression to parse into
dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
prefix: a string to prefix the sql with before it gets parsed\n(automatically includes a space)
copy: whether or not to copy the expression.
**opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).

\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

>>> union("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo UNION SELECT * FROM bla'\n

\n\n

Arguments:

\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.
right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
distinct: set the DISTINCT flag if and only if this is true.
dialect: the dialect used to parse the input expression.
opts: other options to use to parse the input expressions.

\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

>>> intersect("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo INTERSECT SELECT * FROM bla'\n

\n\n

Arguments:

\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.
right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
distinct: set the DISTINCT flag if and only if this is true.
dialect: the dialect used to parse the input expression.
opts: other options to use to parse the input expressions.

\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

>>> except_("SELECT * FROM foo", "SELECT * FROM bla").sql()\n'SELECT * FROM foo EXCEPT SELECT * FROM bla'\n

\n\n

Arguments:

\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.
right: the SQL code string corresponding to the right-hand side.\nIf an Expression instance is passed, it will be used as-is.
distinct: set the DISTINCT flag if and only if this is true.
dialect: the dialect used to parse the input expression.
opts: other options to use to parse the input expressions.

\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

>>> select("col1", "col2").from_("tbl").sql()\n'SELECT col1, col2 FROM tbl'\n

\n\n

Arguments:

\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.
dialect: the dialect used to parse the input expressions (in the case that an\ninput expression is a SQL string).
**opts: other options to use to parse the input expressions (again, in the case\nthat an input expression is a SQL string).

\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

>>> from_("tbl").select("col1", "col2").sql()\n'SELECT col1, col2 FROM tbl'\n

\n\n

Arguments:

\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.
dialect: the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
**opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).

\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

>>> 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

Arguments:

\n\n

*properties: dictionary of properties to set which are\nauto converted to sql objects eg None -> NULL
where: sql conditional parsed into a WHERE statement
from_: sql statement parsed into a FROM statement
dialect: the dialect used to parse the input expressions.
**opts: other options to use to parse the input expressions.

\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

>>> delete("my_table", where="id > 1").sql()\n'DELETE FROM my_table WHERE id > 1'\n

\n\n

Arguments:

\n\n

where: sql conditional parsed into a WHERE statement
returning: sql conditional parsed into a RETURNING statement
dialect: the dialect used to parse the input expressions.
**opts: other options to use to parse the input expressions.

\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

>>> insert("VALUES (1, 2, 3)", "tbl").sql()\n'INSERT INTO tbl VALUES (1, 2, 3)'\n

\n\n

Arguments:

\n\n

expression: the sql string or expression of the INSERT statement
into: the tbl to insert data to.
columns: optionally the table's column names.
overwrite: whether to INSERT OVERWRITE or not.
dialect: the dialect used to parse the input expressions.
copy: whether or not to copy the expression.
**opts: other options to use to parse the input expressions.

\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

>>> condition("x=1").sql()\n'x = 1'\n

\n \n

This is helpful for composing larger logical syntax trees:

\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

Arguments:

\n\n

*expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
dialect: the dialect used to parse the input expression (in the case that the\ninput expression is a SQL string).
copy: Whether or not to copy expression (only applies to expressions).
**opts: other options to use to parse the input expressions (again, in the case\nthat the input expression is a SQL string).

\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

>>> and_("x=1", and_("y=1", "z=1")).sql()\n'x = 1 AND (y = 1 AND z = 1)'\n

\n\n

Arguments:

\n\n

*expressions: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
dialect: the dialect used to parse the input expression.
copy: whether or not to copy expressions (only applies to Expressions).
**opts: other options to use to parse the input expressions.

\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

>>> or_("x=1", or_("y=1", "z=1")).sql()\n'x = 1 OR (y = 1 OR z = 1)'\n

\n\n

Arguments:

\n\n

*expressions: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
dialect: the dialect used to parse the input expression.
copy: whether or not to copy expressions (only applies to Expressions).
**opts: other options to use to parse the input expressions.

\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

>>> not_("this_suit='black'").sql()\n"NOT this_suit = 'black'"\n

\n\n

Arguments:

\n\n

expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
dialect: the dialect used to parse the input expression.
copy: whether to copy the expression or not.
**opts: other options to use to parse the input expressions.

\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

>>> paren("5 + 3").sql()\n'(5 + 3)'\n

\n\n

Arguments:

\n\n

expression: the SQL code string to parse.\nIf an Expression instance is passed, this is used as-is.
copy: whether to copy the expression or not.

\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

name: The name to turn into an identifier.
quoted: Whether or not force quote the identifier.
copy: Whether or not to copy a passed in Identefier node.

\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

sql_path: a [catalog].[schema].[table] string.
dialect: the source dialect according to which the table name will be parsed.
kwargs: the kwargs to instantiate the resulting Table expression with.

\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

sql_path: [table].[column] string

\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

>>> alias_('foo', 'bar').sql()\n'foo AS bar'\n

\n \n

>>> alias_('(select 1, 2)', 'bar', table=['a', 'b']).sql()\n'(SELECT 1, 2) AS bar(a, b)'\n

\n\n

Arguments:

\n\n

expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
alias: the alias name to use. If the name has\nspecial characters it is quoted.
table: Whether or not to create a table alias, can also be a list of columns.
quoted: whether or not to quote the alias
dialect: the dialect used to parse the input expression.
copy: Whether or not to copy the expression.
**opts: other options to use to parse the input expressions.

\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

>>> subquery('select x from tbl', 'bar').select('x').sql()\n'SELECT x FROM (SELECT x FROM tbl) AS bar'\n

\n\n

Arguments:

\n\n

expression: the SQL code strings to parse.\nIf an Expression instance is passed, this is used as-is.
alias: the alias name to use.
dialect: the dialect used to parse the input expression.
**opts: other options to use to parse the input expressions.

\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

col: Column name.
table: Table name.
db: Database name.
catalog: Catalog name.
quoted: Whether to force quotes on the column's identifiers.

\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

>>> cast('x + 1', 'int').sql()\n'CAST(x + 1 AS INT)'\n

\n\n

Arguments:

\n\n

expression: The expression to cast.
to: The datatype to cast to.

\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

table: Table name.
db: Database name.
catalog: Catalog name.
quote: Whether to force quotes on the table's identifiers.
alias: Table's alias.

\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

>>> values([(1, '2')]).sql()\n"VALUES (1, '2')"\n

\n\n

Arguments:

\n\n

values: values statements that will be converted to SQL
alias: optional alias
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

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

>>> repr(var('x'))\n'(VAR this: x)'\n

\n \n

>>> repr(var(column('x', table='y')))\n'(VAR this: x)'\n

\n\n

Arguments:

\n\n

name: The name of the var or an expression who's name will become the var.

\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

old_name: The old name of the table
new_name: The new name of the table

\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

value: A python object.
copy: Whether or not to copy value (only applies to Expressions and collections).

\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

>>> import sqlglot\n>>> column_table_names(sqlglot.parse_one("a.b AND c.d AND c.e"))\n['c', 'a']\n

\n\n

Arguments:

\n\n

expression: expression to find table names.

\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

table: table expression node or string.

\n\n

Examples:

\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

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

expression: expression node to be transformed and replaced.
mapping: mapping of table names.

\n\n

Examples:

\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

Returns:

\n\n

\n
The mapped expression.
\n

\n", "signature": "(expression: ~E, mapping: Dict[str, str]) -> ~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

expression: expression node to be transformed and replaced.
args: positional names that will substitute unnamed placeholders in the given order.
kwargs: keyword arguments that will substitute named placeholders.

\n\n

Examples:

\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

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

>>> 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

>>> 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

Arguments:

\n\n

expression: The expression to expand.
sources: A dictionary of name to Subqueryables.
copy: Whether or not to copy the expression during transformation. Defaults to True.

\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

>>> func("abs", 5).sql()\n'ABS(5)'\n

\n \n

>>> func("cast", this=5, to=DataType.build("DOUBLE")).sql()\n'CAST(5 AS DOUBLE)'\n

\n\n

Arguments:

\n\n

name: the name of the function to build.
args: the args used to instantiate the function of interest.
dialect: the source dialect.
kwargs: the kwargs used to instantiate the function of interest.

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

\n\n

Arguments:

\n\n

time_mapping (dict): the dictionary of custom time mappings in which the key\nrepresents a python time format and the output the target time format
time_trie (trie): a trie of the time_mapping keys
pretty (bool): if set to True the returned string will be formatted. Default: False.
quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
identifier_start (str): specifies which starting character to use to delimit identifiers. Default: \".
identifier_end (str): specifies which ending character to use to delimit identifiers. Default: \".
bit_start (str): specifies which starting character to use to delimit bit literals. Default: None.
bit_end (str): specifies which ending character to use to delimit bit literals. Default: None.
hex_start (str): specifies which starting character to use to delimit hex literals. Default: None.
hex_end (str): specifies which ending character to use to delimit hex literals. Default: None.
byte_start (str): specifies which starting character to use to delimit byte literals. Default: None.
byte_end (str): specifies which ending character to use to delimit byte literals. Default: None.
raw_start (str): specifies which starting character to use to delimit raw literals. Default: None.
raw_end (str): specifies which ending character to use to delimit raw literals. Default: None.
identify (bool | str): 'always': always quote, 'safe': quote identifiers if they don't contain an upcase, True defaults to always.
normalize (bool): if set to True all identifiers will lower cased
string_escape (str): specifies a string escape character. Default: '.
identifier_escape (str): specifies an identifier escape character. Default: \".
pad (int): determines padding in a formatted string. Default: 2.
indent (int): determines the size of indentation in a formatted string. Default: 4.
unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
normalize_functions (str): normalize function names, \"upper\", \"lower\", or None\nDefault: \"upper\"
alias_post_tablesample (bool): if the table alias comes after tablesample\nDefault: False
unsupported_level (ErrorLevel): determines the generator's behavior when it encounters\nunsupported expressions. Default ErrorLevel.WARN.
null_ordering (str): Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"
max_unsupported (int): Maximum number of unsupported messages to include in a raised UnsupportedError.\nThis is only relevant if unsupported_level is ErrorLevel.RAISE.\nDefault: 3
leading_comma (bool): if the the comma is leading or trailing in select statements\nDefault: False
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
comments: Whether or not to preserve comments in the output SQL code.\nDefault: True

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

\n", "signature": "(\ttime_mapping=None,\ttime_trie=None,\tpretty=None,\tquote_start=None,\tquote_end=None,\tidentifier_start=None,\tidentifier_end=None,\tbit_start=None,\tbit_end=None,\thex_start=None,\thex_end=None,\tbyte_start=None,\tbyte_end=None,\traw_start=None,\traw_end=None,\tidentify=False,\tnormalize=False,\tstring_escape=None,\tidentifier_escape=None,\tpad=2,\tindent=2,\tindex_offset=0,\tunnest_column_only=False,\talias_post_tablesample=False,\tnormalize_functions='upper',\tunsupported_level=<ErrorLevel.WARN: 'WARN'>,\tnull_ordering=None,\tmax_unsupported=3,\tleading_comma=False,\tmax_text_width=80,\tcomments=True)"}, "sqlglot.generator.Generator.generate": {"fullname": "sqlglot.generator.Generator.generate", "modulename": "sqlglot.generator", "qualname": "Generator.generate", "kind": "function", "doc": "

Generates a SQL string by interpreting the given syntax tree.

\n\n

Args\n expression: the syntax tree.\n cache: an optional sql string cache. this leverages the hash of an expression which is slow, so only use this if you set _hash on each node.

\n\n

Returns\n the SQL string.

\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, _) -> 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": "

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\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]) -> 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.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

value: the value of interest.

\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

value: the value of interest.

\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

args: the string arguments to format.
sep: the argument separator.

\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

module_name: the name of the module to search for subclasses in.
classes: class(es) we want to find the subclasses of.
exclude: class(es) we want to exclude from the returned list.

\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

this: the target of the index
expressions: the expression the offset will be applied to, wrapped in a list.
offset: the offset that will be applied.

\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

expression: the expression to be transformed.
func: the transformation to be applied.

\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

dag: the graph to be sorted.

\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

read_csv: a ReadCSV function call

\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

taken: a collection of taken names.
base: base name to alter.

\n\n

Returns:

\n\n

\n
The new, available name.
\n

\n", "signature": "(taken: Collection[str], base: str) -> 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

value: the value to be split.
sep: the value to use to split on.
min_num_words: the minimum number of words that are going to be in the result.
fill_from_start: indicates that if None values should be inserted at the start or end of the list.

\n\n

Examples:

\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

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

>>> is_iterable([1,2])\nTrue\n>>> is_iterable("test")\nFalse\n

\n\n

Arguments:

\n\n

value: the value to check if it is an iterable.

\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

>>> 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

Arguments:

\n\n

values: the value to be flattened.

\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

>>> 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

Arguments:

\n\n

d (dict): dictionary

\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.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

text: the text to check.
identify: \"always\" | True - always returns true, \"safe\" - true if no upper case

\n\n

Returns:

\n\n

\n
Whether or not a string should be identified.
\n

\n", "signature": "(text: str, identify: str | bool) -> 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

column: The column to build the lineage for.
sql: The SQL string or expression.
schema: The schema of tables.
sources: A mapping of queries which will be used to continue building lineage.
rules: Optimizer rules to apply, by default only qualifying tables and columns.
dialect: The dialect of input SQL.

\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,\trules: Sequence[Callable] = (<function lower_identities at 0x7f0af2fc76d0>, <function qualify_tables at 0x7f0af2fa1d80>, <function qualify_columns at 0x7f0af2fa0c10>),\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> 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": "

Recursively infer & annotate types in an expression syntax tree against a schema.\nAssumes that we've already executed the optimizer's qualify_columns step.

\n\n

Example:

\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

Arguments:

\n\n

expression (sqlglot.Expression): Expression to annotate.
schema (dict|sqlglot.optimizer.Schema): Database schema.
annotators (dict): Maps expression type to corresponding annotation function.
coerces_to (dict): Maps expression type to set of types that it can be coerced into.

\n\n

Returns:

\n\n

\n
sqlglot.Expression: expression annotated with types
\n

\n", "signature": "(expression, schema=None, annotators=None, coerces_to=None):", "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": "(schema=None, annotators=None, coerces_to=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):", "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

expression: The expression to canonicalize.
identify: Whether or not to force identify identifier.

\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tidentify: str = 'safe') -> 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

>>> 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

Arguments:

\n\n

expression (sqlglot.Expression): expression to optimize

\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

>>> 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

Arguments:

\n\n

expression (sqlglot.Expression): expression to optimize

\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

join (exp.Join)

\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

>>> 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

This also deduplicates common subqueries:

\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

Arguments:

\n\n

expression (sqlglot.Expression): expression

\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.lower_identities": {"fullname": "sqlglot.optimizer.lower_identities", "modulename": "sqlglot.optimizer.lower_identities", "kind": "module", "doc": "

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

Convert all unquoted identifiers to lower case.

\n\n

Assuming the schema is all lower case, this essentially makes identifiers case-insensitive.

\n\n

Example:

\n\n

>>> import sqlglot\n>>> expression = sqlglot.parse_one('SELECT Bar.A AS A FROM "Foo".Bar')\n>>> lower_identities(expression).sql()\n'SELECT bar.a AS A FROM "Foo".bar'\n

\n\n

Arguments:

\n\n

expression (sqlglot.Expression): expression to quote

\n\n

Returns:

\n\n

\n
sqlglot.Expression: quoted expression
\n

\n", "signature": "(expression):", "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

>>> 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

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

expression (sqlglot.Expression): expression to optimize
leave_tables_isolated (bool):

\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

>>> 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

Arguments:

\n\n

expression: expression to normalize
dnf: rewrite in disjunctive normal form instead.
max_distance (int): the maximal estimated distance from cnf/dnf to attempt conversion

\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

>>> import sqlglot\n>>> expression = sqlglot.parse_one("(a AND b) OR (c AND d)")\n>>> normalization_distance(expression)\n4\n

\n\n

Arguments:

\n\n

expression (sqlglot.Expression): expression to compute distance
dnf (bool): compute to dnf distance instead

\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.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

>>> 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", "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

expression: expression to optimize
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
db: specify the default database, as might be set by a USE DATABASE db statement
catalog: specify the default catalog, as might be set by a USE CATALOG c statement
dialect: The dialect to parse the sql string.
rules: sequence of optimizer rules to use.\nMany of the rules require tables and columns to be qualified.\nDo not remove qualify_tables or qualify_columns from the sequence of rules unless you know\nwhat you're doing!
*kwargs: If a rule has a keyword argument with a same name in *kwargs, it will be passed in.

\n\n

Returns:

\n\n

\n
sqlglot.Expression: 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 lower_identities at 0x7f0af2fc76d0>, <function qualify_tables at 0x7f0af2fa1d80>, <function isolate_table_selects at 0x7f0af2fc7370>, <function qualify_columns at 0x7f0af2fa0c10>, <function pushdown_projections at 0x7f0af2fa1750>, <function validate_qualify_columns at 0x7f0af2fa0ca0>, <function normalize at 0x7f0af2fc5630>, <function unnest_subqueries at 0x7f0af2fa1e10>, <function pushdown_predicates at 0x7f0af2fa0700>, <function optimize_joins at 0x7f0af2fa03a0>, <function eliminate_subqueries at 0x7f0af2fc72e0>, <function merge_subqueries at 0x7f0af2fc79a0>, <function eliminate_joins at 0x7f0af2fc53f0>, <function eliminate_ctes at 0x7f0af2fc52d0>, <function annotate_types at 0x7f0af2ff9a20>, <function canonicalize at 0x7f0af2fc4d30>, <function simplify at 0x7f0af2fc57e0>),\t**kwargs):", "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

>>> import sqlglot\n>>> sql = "SELECT * FROM (SELECT * FROM x AS x) AS y WHERE y.a = 1"\n>>> expression = sqlglot.parse_one(sql)\n>>> pushdown_predicates(expression).sql()\n'SELECT * FROM (SELECT * FROM x AS x WHERE y.a = 1) AS y WHERE TRUE'\n

\n\n

Arguments:

\n\n

expression (sqlglot.Expression): expression to optimize

\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

>>> 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

Arguments:

\n\n

expression (sqlglot.Expression): expression to optimize
remove_unused_selections (bool): remove selects that are unused

\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_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

>>> 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

Arguments:

\n\n

expression: expression to qualify
schema: Database schema
expand_alias_refs: whether or not to expand references to aliases
infer_schema: whether or not to infer the schema if missing

\n\n

Returns:

\n\n

\n
sqlglot.Expression: qualified expression
\n

\n", "signature": "(\texpression: sqlglot.expressions.Expression,\tschema: 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.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

column_name: The column name to find the table for.

\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

>>> 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

Arguments:

\n\n

expression (sqlglot.Expression): expression to qualify
db (str): Database name
catalog (str): Catalog name
schema: A schema to populate

\n\n

Returns:

\n\n

\n
sqlglot.Expression: qualified expression
\n

\n\n

(*) See section 7.2.1.2 in https://www.postgresql.org/docs/current/queries-table-expressions.html

\n", "signature": "(expression, db=None, catalog=None, schema=None):", "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

expression (exp.Select|exp.Union): Root expression of this scope
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(...)}
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.
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
parent (Scope): Parent scope
scope_type (ScopeType): Type of this scope, relative to it's parent
subquery_scopes (list[Scope]): List of all child scopes for subqueries
cte_scopes (list[Scope]): List of all child scopes for CTEs
derived_table_scopes (list[Scope]): List of all child scopes for derived_tables
udtf_scopes (list[Scope]): List of all child scopes for user defined tabular functions
table_scopes (list[Scope]): derived_table_scopes + udtf_scopes, in the order that they're defined
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"}, "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

expression_types (type): the expression type(s) to match.
bfs (bool): True to use breadth-first search, False to use depth-first.

\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

expression_types (type): the expression type(s) to match.
bfs (bool): True to use breadth-first search, False to use depth-first.

\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

old (exp.Expression): old node
new (exp.Expression): new node

\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

source_name (str): Name of the source

\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

>>> 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

Arguments:

\n\n

expression (exp.Expression): expression to traverse

\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

expression (exp.Expression): expression to build the scope tree for

\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

expression (exp.Expression):
bfs (bool): if set to True the BFS traversal order will be applied,\notherwise the DFS traversal will be used instead.

\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

>>> import sqlglot\n>>> expression = sqlglot.parse_one("TRUE AND TRUE")\n>>> simplify(expression).sql()\n'TRUE'\n

\n\n

Arguments:

\n\n

expression (sqlglot.Expression): expression to simplify

\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

>>> 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

Arguments:

\n\n

expression (sqlglot.Expression): expression to unnest

\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, sequence):", "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, sequence):", "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.Expression:", "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.Expression:", "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 sqlglot.tokens.Tokenizer and produces\na parsed syntax tree.

\n\n

Arguments:

\n\n

error_level: the desired error level.\nDefault: ErrorLevel.RAISE
error_message_context: determines the amount of context to capture from a\nquery string when displaying the error message (in number of characters).\nDefault: 50.
index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list.\nDefault: 0
alias_post_tablesample: If the table alias comes after tablesample.\nDefault: False
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
null_ordering: Indicates the default null ordering method to use if not explicitly set.\nOptions are \"nulls_are_small\", \"nulls_are_large\", \"nulls_are_last\".\nDefault: \"nulls_are_small\"

\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,\tindex_offset: int = 0,\tunnest_column_only: bool = False,\talias_post_tablesample: bool = False,\tmax_errors: int = 3,\tnull_ordering: Optional[str] = None)"}, "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

raw_tokens: the list of tokens.
sql: the original SQL string, used to produce helpful debug messages.

\n\n

Returns:

\n\n

\n
The list of 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

expression_types: the expression type(s) to try and parse the token list into.
raw_tokens: the list of tokens.
sql: the original SQL string, used to produce helpful debug messages.

\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

exp_class: the expression class to instantiate.
comments: an optional list of comments to attach to the expression.
kwargs: the arguments to set for the expression along with their respective values.

\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 already instantiated expression, making sure that all its mandatory arguments\nare set.

\n\n

Arguments:

\n\n

expression: the expression to validate.
args: an optional list of items that was used to instantiate the expression, if it's a Func.

\n", "signature": "(\tself,\texpression: sqlglot.expressions.Expression,\targs: Optional[List] = None) -> None:", "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

Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
- x.a
- \"x\".\"\"\nDependencies:\n
  - Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
- Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
- Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:

\n\n

Arguments:

\n\n

expression: the expression to build the DAG from.
ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.

\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": "

\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

Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
- x.a
- \"x\".\"\"\nDependencies:\n
  - Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
- Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
- Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:

\n\n

Arguments:

\n\n

expression: the expression to build the DAG from.
ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.

\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": "

\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

Aggregate: x (4347984624)\nContext:\n Aggregations:\n - SUM(x.b)\n Group:\n - x.a\nProjections:\n
- x.a
- \"x\".\"\"\nDependencies:\n
  - Join: x (4347985296)\nContext:\ny:\nOn: x.a = y.a\nProjections:\nDependencies:
- Scan: x (4347983136)\nContext:\n Source: x AS x\nProjections:
- Scan: y (4343416624)\nContext:\n Source: y AS y\nProjections:

\n\n

Arguments:

\n\n

expression: the expression to build the DAG from.
ctes: a dictionary that maps CTEs to their corresponding Step DAG by name.

\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": "

\n\n

Arguments:

\n\n

table: the Table expression instance or string representing the table.
column_mapping: a column mapping that describes the structure of the table.
dialect: the SQL dialect that will be used to parse table if it's a string.

\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

table: the Table expression instance.
only_visible: whether to include invisible columns.
dialect: the SQL dialect that will be used to parse table if it's a string.

\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

table: the source table.
column: the target column.
dialect: the SQL dialect that will be used to parse table if it's a string.

\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

schema: Mapping in one of the following forms:\n
1. {table: {col: type}}
2. {db: {table: {col: type}}}
3. {catalog: {db: {table: {col: type}}}}
4. None - Tables will be added later
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
1. {table: set(cols)}}
2. {db: {table: set(cols)}}}
3. {catalog: {db: {table: set(*cols)}}}}
dialect: The dialect to be used for custom type mappings & parsing string arguments.

\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)"}, "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": "

\n\n

Arguments:

\n\n

table: the Table expression instance or string representing the table.
column_mapping: a column mapping that describes the structure of the table.
dialect: the SQL dialect that will be used to parse table if it's a string.

\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

table: the Table expression instance.
only_visible: whether to include invisible columns.
dialect: the SQL dialect that will be used to parse table if it's a string.

\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

table: the source table.
column: the target column.
dialect: the SQL dialect that will be used to parse table if it's a string.

\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: Any,\tdialect: Union[str, sqlglot.dialects.dialect.Dialect, Type[sqlglot.dialects.dialect.Dialect], NoneType] = None) -> 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

d: the dictionary to search.
*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

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

>>> nested_set({}, ["top_key", "second_key"], "value")\n{'top_key': {'second_key': 'value'}}\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

Arguments:

\n\n

d: dictionary to update.
keys: the keys that makeup the path to value.
value: the value to set in the dictionary for the given key path.

\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]) -> Union[dict, list, str, float, int, bool]:", "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]) -> Union[List[ForwardRef('Node')], sqlglot.expressions.DataType.Type, sqlglot.expressions.Expression, dict, list, str, float, int, bool]:", "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": "

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\n", "default_value": "<TokenType.OVER: 'OVER'>"}, "sqlglot.tokens.TokenType.OVERLAPS": {"fullname": "sqlglot.tokens.TokenType.OVERLAPS", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERLAPS", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVERLAPS: 'OVERLAPS'>"}, "sqlglot.tokens.TokenType.OVERWRITE": {"fullname": "sqlglot.tokens.TokenType.OVERWRITE", "modulename": "sqlglot.tokens", "qualname": "TokenType.OVERWRITE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.OVERWRITE: 'OVERWRITE'>"}, "sqlglot.tokens.TokenType.PARTITION": {"fullname": "sqlglot.tokens.TokenType.PARTITION", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARTITION: 'PARTITION'>"}, "sqlglot.tokens.TokenType.PARTITION_BY": {"fullname": "sqlglot.tokens.TokenType.PARTITION_BY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PARTITION_BY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PARTITION_BY: 'PARTITION_BY'>"}, "sqlglot.tokens.TokenType.PERCENT": {"fullname": "sqlglot.tokens.TokenType.PERCENT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PERCENT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PERCENT: 'PERCENT'>"}, "sqlglot.tokens.TokenType.PIVOT": {"fullname": "sqlglot.tokens.TokenType.PIVOT", "modulename": "sqlglot.tokens", "qualname": "TokenType.PIVOT", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PIVOT: 'PIVOT'>"}, "sqlglot.tokens.TokenType.PLACEHOLDER": {"fullname": "sqlglot.tokens.TokenType.PLACEHOLDER", "modulename": "sqlglot.tokens", "qualname": "TokenType.PLACEHOLDER", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PLACEHOLDER: 'PLACEHOLDER'>"}, "sqlglot.tokens.TokenType.PRAGMA": {"fullname": "sqlglot.tokens.TokenType.PRAGMA", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRAGMA", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PRAGMA: 'PRAGMA'>"}, "sqlglot.tokens.TokenType.PRIMARY_KEY": {"fullname": "sqlglot.tokens.TokenType.PRIMARY_KEY", "modulename": "sqlglot.tokens", "qualname": "TokenType.PRIMARY_KEY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>"}, "sqlglot.tokens.TokenType.PROCEDURE": {"fullname": "sqlglot.tokens.TokenType.PROCEDURE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROCEDURE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PROCEDURE: 'PROCEDURE'>"}, "sqlglot.tokens.TokenType.PROPERTIES": {"fullname": "sqlglot.tokens.TokenType.PROPERTIES", "modulename": "sqlglot.tokens", "qualname": "TokenType.PROPERTIES", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PROPERTIES: 'PROPERTIES'>"}, "sqlglot.tokens.TokenType.PSEUDO_TYPE": {"fullname": "sqlglot.tokens.TokenType.PSEUDO_TYPE", "modulename": "sqlglot.tokens", "qualname": "TokenType.PSEUDO_TYPE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>"}, "sqlglot.tokens.TokenType.QUALIFY": {"fullname": "sqlglot.tokens.TokenType.QUALIFY", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUALIFY", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.QUALIFY: 'QUALIFY'>"}, "sqlglot.tokens.TokenType.QUOTE": {"fullname": "sqlglot.tokens.TokenType.QUOTE", "modulename": "sqlglot.tokens", "qualname": "TokenType.QUOTE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.QUOTE: 'QUOTE'>"}, "sqlglot.tokens.TokenType.RANGE": {"fullname": "sqlglot.tokens.TokenType.RANGE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RANGE", "kind": "variable", "doc": "

\n", "default_value": "<TokenType.RANGE: 'RANGE'>"}, "sqlglot.tokens.TokenType.RECURSIVE": {"fullname": "sqlglot.tokens.TokenType.RECURSIVE", "modulename": "sqlglot.tokens", "qualname": "TokenType.RECURSIVE", "kind": "variable", "doc": "

\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.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

token_type: The TokenType Enum.
text: The text of the token.
line: The line that the token ends on.
col: The column that the token ends on.
start: The start index of the token.
end: The ending index of the token.

\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.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

>>> 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

Arguments:

\n\n

expression: the expression that will be transformed.

\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

expression: the expression that will be transformed.

\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.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

transforms: sequence of transform functions. These will be called in order.

\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

>>> new_trie(["bla", "foo", "blab"])\n{'b': {'l': {'a': {0: True, 'b': {0: True}}}}, 'f': {'o': {'o': {0: True}}}}\n

\n\n

Arguments:

\n\n

keywords: the keywords to create the trie from.
trie: a trie to mutate instead of creating a new one

\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

>>> in_trie(new_trie(["cat"]), "bob")\n(0, {'c': {'a': {'t': {0: True}}}})\n

\n \n

>>> in_trie(new_trie(["cat"]), "ca")\n(1, {'t': {0: True}})\n

\n \n

>>> in_trie(new_trie(["cat"]), "cat")\n(2, {0: True})\n

\n\n

Arguments:

\n\n

trie: the trie to be searched.
key: the target key.

\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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this.addField("bases"); this.addField("doc"); this.setRef("fullname"); }); for (let doc of docs) { searchIndex.addDoc(doc); } console.timeEnd("building search index"); } return (term) => searchIndex.search(term, { fields: { qualname: {boost: 4}, fullname: {boost: 2}, annotation: {boost: 2}, default_value: {boost: 2}, signature: {boost: 2}, bases: {boost: 2}, doc: {boost: 1}, }, expand: true }); })();

Table of Contents

Install

Versioning

Get in Touch

Examples

Formatting and Transpiling

Metadata

Parser Errors

Unsupported Errors

Build and Modify SQL

SQL Optimizer

AST Introspection

AST Diff

Custom Dialects

SQL Execution

Used By

Documentation

Run Tests and Lint

Benchmarks

Optional Dependencies

Arguments:

Returns:

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Returns:

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Returns:

PySpark DataFrame SQL Generator

How to use

Instructions

Examples

Registering Custom Schema Class

Example Implementations

Bigquery

Snowflake

Spark

Unsupportable Operations

Dialects

Implementing a custom Dialect

Arguments:

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Returns:

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Semantic Diff for SQL