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sqlglot/sqlglot/dialects/bigquery.py
Daniel Baumann 4d496b7a6a
Merging upstream version 10.5.10.
Signed-off-by: Daniel Baumann <daniel@debian.org>
2025-02-13 15:07:05 +01:00

255 lines
9.1 KiB
Python

"""Supports BigQuery Standard SQL."""
from __future__ import annotations
from sqlglot import exp, generator, parser, tokens, transforms
from sqlglot.dialects.dialect import (
Dialect,
datestrtodate_sql,
inline_array_sql,
no_ilike_sql,
rename_func,
timestrtotime_sql,
)
from sqlglot.helper import seq_get
from sqlglot.tokens import TokenType
def _date_add(expression_class):
def func(args):
interval = seq_get(args, 1)
return expression_class(
this=seq_get(args, 0),
expression=interval.this,
unit=interval.args.get("unit"),
)
return func
def _date_trunc(args):
unit = seq_get(args, 1)
if isinstance(unit, exp.Column):
unit = exp.Var(this=unit.name)
return exp.DateTrunc(this=seq_get(args, 0), expression=unit)
def _date_add_sql(data_type, kind):
def func(self, expression):
this = self.sql(expression, "this")
unit = self.sql(expression, "unit") or "'day'"
expression = self.sql(expression, "expression")
return f"{data_type}_{kind}({this}, INTERVAL {expression} {unit})"
return func
def _derived_table_values_to_unnest(self, expression):
if not isinstance(expression.unnest().parent, exp.From):
expression = transforms.remove_precision_parameterized_types(expression)
return self.values_sql(expression)
rows = [tuple_exp.expressions for tuple_exp in expression.find_all(exp.Tuple)]
structs = []
for row in rows:
aliases = [
exp.alias_(value, column_name)
for value, column_name in zip(row, expression.args["alias"].args["columns"])
]
structs.append(exp.Struct(expressions=aliases))
unnest_exp = exp.Unnest(expressions=[exp.Array(expressions=structs)])
return self.unnest_sql(unnest_exp)
def _returnsproperty_sql(self, expression):
this = expression.this
if isinstance(this, exp.Schema):
this = f"{this.this} <{self.expressions(this)}>"
else:
this = self.sql(this)
return f"RETURNS {this}"
def _create_sql(self, expression):
kind = expression.args.get("kind")
returns = expression.find(exp.ReturnsProperty)
if kind.upper() == "FUNCTION" and returns and returns.args.get("is_table"):
expression = expression.copy()
expression.set("kind", "TABLE FUNCTION")
if isinstance(
expression.expression,
(
exp.Subquery,
exp.Literal,
),
):
expression.set("expression", expression.expression.this)
return self.create_sql(expression)
return self.create_sql(expression)
class BigQuery(Dialect):
unnest_column_only = True
time_mapping = {
"%M": "%-M",
"%d": "%-d",
"%m": "%-m",
"%y": "%-y",
"%H": "%-H",
"%I": "%-I",
"%S": "%-S",
"%j": "%-j",
}
class Tokenizer(tokens.Tokenizer):
QUOTES = [
(prefix + quote, quote) if prefix else quote
for quote in ["'", '"', '"""', "'''"]
for prefix in ["", "r", "R"]
]
COMMENTS = ["--", "#", ("/*", "*/")]
IDENTIFIERS = ["`"]
ESCAPES = ["\\"]
HEX_STRINGS = [("0x", ""), ("0X", "")]
KEYWORDS = {
**tokens.Tokenizer.KEYWORDS,
"BEGIN": TokenType.COMMAND,
"BEGIN TRANSACTION": TokenType.BEGIN,
"CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
"CURRENT_TIME": TokenType.CURRENT_TIME,
"DECLARE": TokenType.COMMAND,
"GEOGRAPHY": TokenType.GEOGRAPHY,
"FLOAT64": TokenType.DOUBLE,
"INT64": TokenType.BIGINT,
"NOT DETERMINISTIC": TokenType.VOLATILE,
"UNKNOWN": TokenType.NULL,
}
KEYWORDS.pop("DIV")
class Parser(parser.Parser):
FUNCTIONS = {
**parser.Parser.FUNCTIONS, # type: ignore
"DATE_TRUNC": _date_trunc,
"DATE_ADD": _date_add(exp.DateAdd),
"DATETIME_ADD": _date_add(exp.DatetimeAdd),
"DIV": lambda args: exp.IntDiv(this=seq_get(args, 0), expression=seq_get(args, 1)),
"REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
"TIME_ADD": _date_add(exp.TimeAdd),
"TIMESTAMP_ADD": _date_add(exp.TimestampAdd),
"DATE_SUB": _date_add(exp.DateSub),
"DATETIME_SUB": _date_add(exp.DatetimeSub),
"TIME_SUB": _date_add(exp.TimeSub),
"TIMESTAMP_SUB": _date_add(exp.TimestampSub),
"PARSE_TIMESTAMP": lambda args: exp.StrToTime(
this=seq_get(args, 1), format=seq_get(args, 0)
),
}
FUNCTION_PARSERS = {
**parser.Parser.FUNCTION_PARSERS, # type: ignore
"ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
}
FUNCTION_PARSERS.pop("TRIM")
NO_PAREN_FUNCTIONS = {
**parser.Parser.NO_PAREN_FUNCTIONS, # type: ignore
TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
TokenType.CURRENT_TIME: exp.CurrentTime,
}
NESTED_TYPE_TOKENS = {
*parser.Parser.NESTED_TYPE_TOKENS, # type: ignore
TokenType.TABLE,
}
ID_VAR_TOKENS = {
*parser.Parser.ID_VAR_TOKENS, # type: ignore
TokenType.VALUES,
}
class Generator(generator.Generator):
TRANSFORMS = {
**generator.Generator.TRANSFORMS, # type: ignore
**transforms.REMOVE_PRECISION_PARAMETERIZED_TYPES, # type: ignore
exp.ArraySize: rename_func("ARRAY_LENGTH"),
exp.DateAdd: _date_add_sql("DATE", "ADD"),
exp.DateSub: _date_add_sql("DATE", "SUB"),
exp.DatetimeAdd: _date_add_sql("DATETIME", "ADD"),
exp.DatetimeSub: _date_add_sql("DATETIME", "SUB"),
exp.DateDiff: lambda self, e: f"DATE_DIFF({self.sql(e, 'this')}, {self.sql(e, 'expression')}, {self.sql(e.args.get('unit', 'DAY'))})",
exp.DateStrToDate: datestrtodate_sql,
exp.GroupConcat: rename_func("STRING_AGG"),
exp.ILike: no_ilike_sql,
exp.IntDiv: rename_func("DIV"),
exp.StrToTime: lambda self, e: f"PARSE_TIMESTAMP({self.format_time(e)}, {self.sql(e, 'this')})",
exp.TimeAdd: _date_add_sql("TIME", "ADD"),
exp.TimeSub: _date_add_sql("TIME", "SUB"),
exp.TimestampAdd: _date_add_sql("TIMESTAMP", "ADD"),
exp.TimestampSub: _date_add_sql("TIMESTAMP", "SUB"),
exp.TimeStrToTime: timestrtotime_sql,
exp.VariancePop: rename_func("VAR_POP"),
exp.Values: _derived_table_values_to_unnest,
exp.ReturnsProperty: _returnsproperty_sql,
exp.Create: _create_sql,
exp.Trim: lambda self, e: f"TRIM({self.format_args(e.this, e.expression)})",
exp.VolatilityProperty: lambda self, e: f"DETERMINISTIC"
if e.name == "IMMUTABLE"
else "NOT DETERMINISTIC",
exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
}
TYPE_MAPPING = {
**generator.Generator.TYPE_MAPPING, # type: ignore
exp.DataType.Type.TINYINT: "INT64",
exp.DataType.Type.SMALLINT: "INT64",
exp.DataType.Type.INT: "INT64",
exp.DataType.Type.BIGINT: "INT64",
exp.DataType.Type.DECIMAL: "NUMERIC",
exp.DataType.Type.FLOAT: "FLOAT64",
exp.DataType.Type.DOUBLE: "FLOAT64",
exp.DataType.Type.BOOLEAN: "BOOL",
exp.DataType.Type.TEXT: "STRING",
exp.DataType.Type.VARCHAR: "STRING",
exp.DataType.Type.NVARCHAR: "STRING",
}
ROOT_PROPERTIES = {
exp.LanguageProperty,
exp.ReturnsProperty,
exp.VolatilityProperty,
}
WITH_PROPERTIES = {exp.Property}
EXPLICIT_UNION = True
def array_sql(self, expression: exp.Array) -> str:
first_arg = seq_get(expression.expressions, 0)
if isinstance(first_arg, exp.Subqueryable):
return f"ARRAY{self.wrap(self.sql(first_arg))}"
return inline_array_sql(self, expression)
def transaction_sql(self, *_) -> str:
return "BEGIN TRANSACTION"
def commit_sql(self, *_) -> str:
return "COMMIT TRANSACTION"
def rollback_sql(self, *_) -> str:
return "ROLLBACK TRANSACTION"
def in_unnest_op(self, expression: exp.Unnest) -> str:
return self.sql(expression)
def except_op(self, expression: exp.Except) -> str:
if not expression.args.get("distinct", False):
self.unsupported("EXCEPT without DISTINCT is not supported in BigQuery")
return f"EXCEPT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"
def intersect_op(self, expression: exp.Intersect) -> str:
if not expression.args.get("distinct", False):
self.unsupported("INTERSECT without DISTINCT is not supported in BigQuery")
return f"INTERSECT{' DISTINCT' if expression.args.get('distinct') else ' ALL'}"