sqlglot.dialects.bigquery API documentation

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# sqlglot.dialects.bigquery

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       1from __future__ import annotations
       2
       3import logging
       4import re
       5import typing as t
       6
       7from sqlglot import exp, generator, parser, tokens, transforms
       8from sqlglot._typing import E
       9from sqlglot.dialects.dialect import (
      10    Dialect,
      11    NormalizationStrategy,
      12    annotate_with_type_lambda,
      13    arg_max_or_min_no_count,
      14    binary_from_function,
      15    date_add_interval_sql,
      16    datestrtodate_sql,
      17    build_formatted_time,
      18    filter_array_using_unnest,
      19    if_sql,
      20    inline_array_unless_query,
      21    max_or_greatest,
      22    min_or_least,
      23    no_ilike_sql,
      24    build_date_delta_with_interval,
      25    regexp_replace_sql,
      26    rename_func,
      27    sha256_sql,
      28    timestrtotime_sql,
      29    ts_or_ds_add_cast,
      30    unit_to_var,
      31    strposition_sql,
      32    groupconcat_sql,
      33)
      34from sqlglot.helper import seq_get, split_num_words
      35from sqlglot.tokens import TokenType
      36from sqlglot.generator import unsupported_args
      37
      38if t.TYPE_CHECKING:
      39    from sqlglot._typing import Lit
      40
      41    from sqlglot.optimizer.annotate_types import TypeAnnotator
      42
      43logger = logging.getLogger("sqlglot")
      44
      45
      46JSON_EXTRACT_TYPE = t.Union[exp.JSONExtract, exp.JSONExtractScalar, exp.JSONExtractArray]
      47
      48DQUOTES_ESCAPING_JSON_FUNCTIONS = ("JSON_QUERY", "JSON_VALUE", "JSON_QUERY_ARRAY")
      49
      50
      51def _derived_table_values_to_unnest(self: BigQuery.Generator, expression: exp.Values) -> str:
      52    if not expression.find_ancestor(exp.From, exp.Join):
      53        return self.values_sql(expression)
      54
      55    structs = []
      56    alias = expression.args.get("alias")
      57    for tup in expression.find_all(exp.Tuple):
      58        field_aliases = (
      59            alias.columns
      60            if alias and alias.columns
      61            else (f"_c{i}" for i in range(len(tup.expressions)))
      62        )
      63        expressions = [
      64            exp.PropertyEQ(this=exp.to_identifier(name), expression=fld)
      65            for name, fld in zip(field_aliases, tup.expressions)
      66        ]
      67        structs.append(exp.Struct(expressions=expressions))
      68
      69    # Due to `UNNEST_COLUMN_ONLY`, it is expected that the table alias be contained in the columns expression
      70    alias_name_only = exp.TableAlias(columns=[alias.this]) if alias else None
      71    return self.unnest_sql(
      72        exp.Unnest(expressions=[exp.array(*structs, copy=False)], alias=alias_name_only)
      73    )
      74
      75
      76def _returnsproperty_sql(self: BigQuery.Generator, expression: exp.ReturnsProperty) -> str:
      77    this = expression.this
      78    if isinstance(this, exp.Schema):
      79        this = f"{self.sql(this, 'this')} <{self.expressions(this)}>"
      80    else:
      81        this = self.sql(this)
      82    return f"RETURNS {this}"
      83
      84
      85def _create_sql(self: BigQuery.Generator, expression: exp.Create) -> str:
      86    returns = expression.find(exp.ReturnsProperty)
      87    if expression.kind == "FUNCTION" and returns and returns.args.get("is_table"):
      88        expression.set("kind", "TABLE FUNCTION")
      89
      90        if isinstance(expression.expression, (exp.Subquery, exp.Literal)):
      91            expression.set("expression", expression.expression.this)
      92
      93    return self.create_sql(expression)
      94
      95
      96# https://issuetracker.google.com/issues/162294746
      97# workaround for bigquery bug when grouping by an expression and then ordering
      98# WITH x AS (SELECT 1 y)
      99# SELECT y + 1 z
     100# FROM x
     101# GROUP BY x + 1
     102# ORDER by z
     103def _alias_ordered_group(expression: exp.Expression) -> exp.Expression:
     104    if isinstance(expression, exp.Select):
     105        group = expression.args.get("group")
     106        order = expression.args.get("order")
     107
     108        if group and order:
     109            aliases = {
     110                select.this: select.args["alias"]
     111                for select in expression.selects
     112                if isinstance(select, exp.Alias)
     113            }
     114
     115            for grouped in group.expressions:
     116                if grouped.is_int:
     117                    continue
     118                alias = aliases.get(grouped)
     119                if alias:
     120                    grouped.replace(exp.column(alias))
     121
     122    return expression
     123
     124
     125def _pushdown_cte_column_names(expression: exp.Expression) -> exp.Expression:
     126    """BigQuery doesn't allow column names when defining a CTE, so we try to push them down."""
     127    if isinstance(expression, exp.CTE) and expression.alias_column_names:
     128        cte_query = expression.this
     129
     130        if cte_query.is_star:
     131            logger.warning(
     132                "Can't push down CTE column names for star queries. Run the query through"
     133                " the optimizer or use 'qualify' to expand the star projections first."
     134            )
     135            return expression
     136
     137        column_names = expression.alias_column_names
     138        expression.args["alias"].set("columns", None)
     139
     140        for name, select in zip(column_names, cte_query.selects):
     141            to_replace = select
     142
     143            if isinstance(select, exp.Alias):
     144                select = select.this
     145
     146            # Inner aliases are shadowed by the CTE column names
     147            to_replace.replace(exp.alias_(select, name))
     148
     149    return expression
     150
     151
     152def _build_parse_timestamp(args: t.List) -> exp.StrToTime:
     153    this = build_formatted_time(exp.StrToTime, "bigquery")([seq_get(args, 1), seq_get(args, 0)])
     154    this.set("zone", seq_get(args, 2))
     155    return this
     156
     157
     158def _build_timestamp(args: t.List) -> exp.Timestamp:
     159    timestamp = exp.Timestamp.from_arg_list(args)
     160    timestamp.set("with_tz", True)
     161    return timestamp
     162
     163
     164def _build_date(args: t.List) -> exp.Date | exp.DateFromParts:
     165    expr_type = exp.DateFromParts if len(args) == 3 else exp.Date
     166    return expr_type.from_arg_list(args)
     167
     168
     169def _build_to_hex(args: t.List) -> exp.Hex | exp.MD5:
     170    # TO_HEX(MD5(..)) is common in BigQuery, so it's parsed into MD5 to simplify its transpilation
     171    arg = seq_get(args, 0)
     172    return exp.MD5(this=arg.this) if isinstance(arg, exp.MD5Digest) else exp.LowerHex(this=arg)
     173
     174
     175def _array_contains_sql(self: BigQuery.Generator, expression: exp.ArrayContains) -> str:
     176    return self.sql(
     177        exp.Exists(
     178            this=exp.select("1")
     179            .from_(exp.Unnest(expressions=[expression.left]).as_("_unnest", table=["_col"]))
     180            .where(exp.column("_col").eq(expression.right))
     181        )
     182    )
     183
     184
     185def _ts_or_ds_add_sql(self: BigQuery.Generator, expression: exp.TsOrDsAdd) -> str:
     186    return date_add_interval_sql("DATE", "ADD")(self, ts_or_ds_add_cast(expression))
     187
     188
     189def _ts_or_ds_diff_sql(self: BigQuery.Generator, expression: exp.TsOrDsDiff) -> str:
     190    expression.this.replace(exp.cast(expression.this, exp.DataType.Type.TIMESTAMP))
     191    expression.expression.replace(exp.cast(expression.expression, exp.DataType.Type.TIMESTAMP))
     192    unit = unit_to_var(expression)
     193    return self.func("DATE_DIFF", expression.this, expression.expression, unit)
     194
     195
     196def _unix_to_time_sql(self: BigQuery.Generator, expression: exp.UnixToTime) -> str:
     197    scale = expression.args.get("scale")
     198    timestamp = expression.this
     199
     200    if scale in (None, exp.UnixToTime.SECONDS):
     201        return self.func("TIMESTAMP_SECONDS", timestamp)
     202    if scale == exp.UnixToTime.MILLIS:
     203        return self.func("TIMESTAMP_MILLIS", timestamp)
     204    if scale == exp.UnixToTime.MICROS:
     205        return self.func("TIMESTAMP_MICROS", timestamp)
     206
     207    unix_seconds = exp.cast(
     208        exp.Div(this=timestamp, expression=exp.func("POW", 10, scale)), exp.DataType.Type.BIGINT
     209    )
     210    return self.func("TIMESTAMP_SECONDS", unix_seconds)
     211
     212
     213def _build_time(args: t.List) -> exp.Func:
     214    if len(args) == 1:
     215        return exp.TsOrDsToTime(this=args[0])
     216    if len(args) == 2:
     217        return exp.Time.from_arg_list(args)
     218    return exp.TimeFromParts.from_arg_list(args)
     219
     220
     221def _build_datetime(args: t.List) -> exp.Func:
     222    if len(args) == 1:
     223        return exp.TsOrDsToDatetime.from_arg_list(args)
     224    if len(args) == 2:
     225        return exp.Datetime.from_arg_list(args)
     226    return exp.TimestampFromParts.from_arg_list(args)
     227
     228
     229def _build_regexp_extract(
     230    expr_type: t.Type[E], default_group: t.Optional[exp.Expression] = None
     231) -> t.Callable[[t.List], E]:
     232    def _builder(args: t.List) -> E:
     233        try:
     234            group = re.compile(args[1].name).groups == 1
     235        except re.error:
     236            group = False
     237
     238        # Default group is used for the transpilation of REGEXP_EXTRACT_ALL
     239        return expr_type(
     240            this=seq_get(args, 0),
     241            expression=seq_get(args, 1),
     242            position=seq_get(args, 2),
     243            occurrence=seq_get(args, 3),
     244            group=exp.Literal.number(1) if group else default_group,
     245        )
     246
     247    return _builder
     248
     249
     250def _build_extract_json_with_default_path(expr_type: t.Type[E]) -> t.Callable[[t.List, Dialect], E]:
     251    def _builder(args: t.List, dialect: Dialect) -> E:
     252        if len(args) == 1:
     253            # The default value for the JSONPath is '$' i.e all of the data
     254            args.append(exp.Literal.string("$"))
     255        return parser.build_extract_json_with_path(expr_type)(args, dialect)
     256
     257    return _builder
     258
     259
     260def _str_to_datetime_sql(
     261    self: BigQuery.Generator, expression: exp.StrToDate | exp.StrToTime
     262) -> str:
     263    this = self.sql(expression, "this")
     264    dtype = "DATE" if isinstance(expression, exp.StrToDate) else "TIMESTAMP"
     265
     266    if expression.args.get("safe"):
     267        fmt = self.format_time(
     268            expression,
     269            self.dialect.INVERSE_FORMAT_MAPPING,
     270            self.dialect.INVERSE_FORMAT_TRIE,
     271        )
     272        return f"SAFE_CAST({this} AS {dtype} FORMAT {fmt})"
     273
     274    fmt = self.format_time(expression)
     275    return self.func(f"PARSE_{dtype}", fmt, this, expression.args.get("zone"))
     276
     277
     278def _annotate_math_functions(self: TypeAnnotator, expression: E) -> E:
     279    """
     280    Many BigQuery math functions such as CEIL, FLOOR etc follow this return type convention:
     281    +---------+---------+---------+------------+---------+
     282    |  INPUT  | INT64   | NUMERIC | BIGNUMERIC | FLOAT64 |
     283    +---------+---------+---------+------------+---------+
     284    |  OUTPUT | FLOAT64 | NUMERIC | BIGNUMERIC | FLOAT64 |
     285    +---------+---------+---------+------------+---------+
     286    """
     287    self._annotate_args(expression)
     288
     289    this: exp.Expression = expression.this
     290
     291    self._set_type(
     292        expression,
     293        exp.DataType.Type.DOUBLE if this.is_type(*exp.DataType.INTEGER_TYPES) else this.type,
     294    )
     295    return expression
     296
     297
     298@unsupported_args("ins_cost", "del_cost", "sub_cost")
     299def _levenshtein_sql(self: BigQuery.Generator, expression: exp.Levenshtein) -> str:
     300    max_dist = expression.args.get("max_dist")
     301    if max_dist:
     302        max_dist = exp.Kwarg(this=exp.var("max_distance"), expression=max_dist)
     303
     304    return self.func("EDIT_DISTANCE", expression.this, expression.expression, max_dist)
     305
     306
     307def _build_levenshtein(args: t.List) -> exp.Levenshtein:
     308    max_dist = seq_get(args, 2)
     309    return exp.Levenshtein(
     310        this=seq_get(args, 0),
     311        expression=seq_get(args, 1),
     312        max_dist=max_dist.expression if max_dist else None,
     313    )
     314
     315
     316def _build_format_time(expr_type: t.Type[exp.Expression]) -> t.Callable[[t.List], exp.TimeToStr]:
     317    def _builder(args: t.List) -> exp.TimeToStr:
     318        return exp.TimeToStr(
     319            this=expr_type(this=seq_get(args, 1)),
     320            format=seq_get(args, 0),
     321            zone=seq_get(args, 2),
     322        )
     323
     324    return _builder
     325
     326
     327def _build_contains_substring(args: t.List) -> exp.Contains | exp.Anonymous:
     328    if len(args) == 3:
     329        return exp.Anonymous(this="CONTAINS_SUBSTR", expressions=args)
     330
     331    # Lowercase the operands in case of transpilation, as exp.Contains
     332    # is case-sensitive on other dialects
     333    this = exp.Lower(this=seq_get(args, 0))
     334    expr = exp.Lower(this=seq_get(args, 1))
     335
     336    return exp.Contains(this=this, expression=expr)
     337
     338
     339def _json_extract_sql(self: BigQuery.Generator, expression: JSON_EXTRACT_TYPE) -> str:
     340    name = (expression._meta and expression.meta.get("name")) or expression.sql_name()
     341    upper = name.upper()
     342
     343    dquote_escaping = upper in DQUOTES_ESCAPING_JSON_FUNCTIONS
     344
     345    if dquote_escaping:
     346        self._quote_json_path_key_using_brackets = False
     347
     348    sql = rename_func(upper)(self, expression)
     349
     350    if dquote_escaping:
     351        self._quote_json_path_key_using_brackets = True
     352
     353    return sql
     354
     355
     356def _annotate_concat(self: TypeAnnotator, expression: exp.Concat) -> exp.Concat:
     357    annotated = self._annotate_by_args(expression, "expressions")
     358
     359    # Args must be BYTES or types that can be cast to STRING, return type is either BYTES or STRING
     360    # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#concat
     361    if not annotated.is_type(exp.DataType.Type.BINARY, exp.DataType.Type.UNKNOWN):
     362        annotated.type = exp.DataType.Type.VARCHAR
     363
     364    return annotated
     365
     366
     367class BigQuery(Dialect):
     368    WEEK_OFFSET = -1
     369    UNNEST_COLUMN_ONLY = True
     370    SUPPORTS_USER_DEFINED_TYPES = False
     371    SUPPORTS_SEMI_ANTI_JOIN = False
     372    LOG_BASE_FIRST = False
     373    HEX_LOWERCASE = True
     374    FORCE_EARLY_ALIAS_REF_EXPANSION = True
     375    PRESERVE_ORIGINAL_NAMES = True
     376    HEX_STRING_IS_INTEGER_TYPE = True
     377
     378    # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#case_sensitivity
     379    NORMALIZATION_STRATEGY = NormalizationStrategy.CASE_INSENSITIVE
     380
     381    # bigquery udfs are case sensitive
     382    NORMALIZE_FUNCTIONS = False
     383
     384    # https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_elements_date_time
     385    TIME_MAPPING = {
     386        "%D": "%m/%d/%y",
     387        "%E6S": "%S.%f",
     388        "%e": "%-d",
     389    }
     390
     391    FORMAT_MAPPING = {
     392        "DD": "%d",
     393        "MM": "%m",
     394        "MON": "%b",
     395        "MONTH": "%B",
     396        "YYYY": "%Y",
     397        "YY": "%y",
     398        "HH": "%I",
     399        "HH12": "%I",
     400        "HH24": "%H",
     401        "MI": "%M",
     402        "SS": "%S",
     403        "SSSSS": "%f",
     404        "TZH": "%z",
     405    }
     406
     407    # The _PARTITIONTIME and _PARTITIONDATE pseudo-columns are not returned by a SELECT * statement
     408    # https://cloud.google.com/bigquery/docs/querying-partitioned-tables#query_an_ingestion-time_partitioned_table
     409    PSEUDOCOLUMNS = {"_PARTITIONTIME", "_PARTITIONDATE"}
     410
     411    # All set operations require either a DISTINCT or ALL specifier
     412    SET_OP_DISTINCT_BY_DEFAULT = dict.fromkeys((exp.Except, exp.Intersect, exp.Union), None)
     413
     414    # BigQuery maps Type.TIMESTAMP to DATETIME, so we need to amend the inferred types
     415    TYPE_TO_EXPRESSIONS = {
     416        **Dialect.TYPE_TO_EXPRESSIONS,
     417        exp.DataType.Type.TIMESTAMPTZ: Dialect.TYPE_TO_EXPRESSIONS[exp.DataType.Type.TIMESTAMP],
     418    }
     419    TYPE_TO_EXPRESSIONS.pop(exp.DataType.Type.TIMESTAMP)
     420
     421    ANNOTATORS = {
     422        **Dialect.ANNOTATORS,
     423        **{
     424            expr_type: annotate_with_type_lambda(data_type)
     425            for data_type, expressions in TYPE_TO_EXPRESSIONS.items()
     426            for expr_type in expressions
     427        },
     428        **{
     429            expr_type: lambda self, e: _annotate_math_functions(self, e)
     430            for expr_type in (exp.Floor, exp.Ceil, exp.Log, exp.Ln, exp.Sqrt, exp.Exp, exp.Round)
     431        },
     432        **{
     433            expr_type: lambda self, e: self._annotate_by_args(e, "this")
     434            for expr_type in (
     435                exp.Left,
     436                exp.Right,
     437                exp.Lower,
     438                exp.Upper,
     439                exp.Pad,
     440                exp.Trim,
     441                exp.RegexpExtract,
     442                exp.RegexpReplace,
     443                exp.Repeat,
     444                exp.Substring,
     445            )
     446        },
     447        exp.Concat: _annotate_concat,
     448        exp.Sign: lambda self, e: self._annotate_by_args(e, "this"),
     449        exp.Split: lambda self, e: self._annotate_by_args(e, "this", array=True),
     450    }
     451
     452    def normalize_identifier(self, expression: E) -> E:
     453        if (
     454            isinstance(expression, exp.Identifier)
     455            and self.normalization_strategy is NormalizationStrategy.CASE_INSENSITIVE
     456        ):
     457            parent = expression.parent
     458            while isinstance(parent, exp.Dot):
     459                parent = parent.parent
     460
     461            # In BigQuery, CTEs are case-insensitive, but UDF and table names are case-sensitive
     462            # by default. The following check uses a heuristic to detect tables based on whether
     463            # they are qualified. This should generally be correct, because tables in BigQuery
     464            # must be qualified with at least a dataset, unless @@dataset_id is set.
     465            case_sensitive = (
     466                isinstance(parent, exp.UserDefinedFunction)
     467                or (
     468                    isinstance(parent, exp.Table)
     469                    and parent.db
     470                    and (parent.meta.get("quoted_table") or not parent.meta.get("maybe_column"))
     471                )
     472                or expression.meta.get("is_table")
     473            )
     474            if not case_sensitive:
     475                expression.set("this", expression.this.lower())
     476
     477            return t.cast(E, expression)
     478
     479        return super().normalize_identifier(expression)
     480
     481    class Tokenizer(tokens.Tokenizer):
     482        QUOTES = ["'", '"', '"""', "'''"]
     483        COMMENTS = ["--", "#", ("/*", "*/")]
     484        IDENTIFIERS = ["`"]
     485        STRING_ESCAPES = ["\\"]
     486
     487        HEX_STRINGS = [("0x", ""), ("0X", "")]
     488
     489        BYTE_STRINGS = [
     490            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
     491        ]
     492
     493        RAW_STRINGS = [
     494            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
     495        ]
     496
     497        KEYWORDS = {
     498            **tokens.Tokenizer.KEYWORDS,
     499            "ANY TYPE": TokenType.VARIANT,
     500            "BEGIN": TokenType.COMMAND,
     501            "BEGIN TRANSACTION": TokenType.BEGIN,
     502            "BYTEINT": TokenType.INT,
     503            "BYTES": TokenType.BINARY,
     504            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
     505            "DATETIME": TokenType.TIMESTAMP,
     506            "DECLARE": TokenType.COMMAND,
     507            "ELSEIF": TokenType.COMMAND,
     508            "EXCEPTION": TokenType.COMMAND,
     509            "EXPORT": TokenType.EXPORT,
     510            "FLOAT64": TokenType.DOUBLE,
     511            "FOR SYSTEM_TIME": TokenType.TIMESTAMP_SNAPSHOT,
     512            "MODEL": TokenType.MODEL,
     513            "NOT DETERMINISTIC": TokenType.VOLATILE,
     514            "RECORD": TokenType.STRUCT,
     515            "TIMESTAMP": TokenType.TIMESTAMPTZ,
     516        }
     517        KEYWORDS.pop("DIV")
     518        KEYWORDS.pop("VALUES")
     519        KEYWORDS.pop("/*+")
     520
     521    class Parser(parser.Parser):
     522        PREFIXED_PIVOT_COLUMNS = True
     523        LOG_DEFAULTS_TO_LN = True
     524        SUPPORTS_IMPLICIT_UNNEST = True
     525
     526        FUNCTIONS = {
     527            **parser.Parser.FUNCTIONS,
     528            "CONTAINS_SUBSTR": _build_contains_substring,
     529            "DATE": _build_date,
     530            "DATE_ADD": build_date_delta_with_interval(exp.DateAdd),
     531            "DATE_SUB": build_date_delta_with_interval(exp.DateSub),
     532            "DATE_TRUNC": lambda args: exp.DateTrunc(
     533                unit=exp.Literal.string(str(seq_get(args, 1))),
     534                this=seq_get(args, 0),
     535                zone=seq_get(args, 2),
     536            ),
     537            "DATETIME": _build_datetime,
     538            "DATETIME_ADD": build_date_delta_with_interval(exp.DatetimeAdd),
     539            "DATETIME_SUB": build_date_delta_with_interval(exp.DatetimeSub),
     540            "DIV": binary_from_function(exp.IntDiv),
     541            "EDIT_DISTANCE": _build_levenshtein,
     542            "FORMAT_DATE": _build_format_time(exp.TsOrDsToDate),
     543            "GENERATE_ARRAY": exp.GenerateSeries.from_arg_list,
     544            "JSON_EXTRACT_SCALAR": _build_extract_json_with_default_path(exp.JSONExtractScalar),
     545            "JSON_EXTRACT_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
     546            "JSON_QUERY": parser.build_extract_json_with_path(exp.JSONExtract),
     547            "JSON_QUERY_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
     548            "JSON_VALUE": _build_extract_json_with_default_path(exp.JSONExtractScalar),
     549            "JSON_VALUE_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
     550            "LENGTH": lambda args: exp.Length(this=seq_get(args, 0), binary=True),
     551            "MD5": exp.MD5Digest.from_arg_list,
     552            "TO_HEX": _build_to_hex,
     553            "PARSE_DATE": lambda args: build_formatted_time(exp.StrToDate, "bigquery")(
     554                [seq_get(args, 1), seq_get(args, 0)]
     555            ),
     556            "PARSE_TIMESTAMP": _build_parse_timestamp,
     557            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
     558            "REGEXP_EXTRACT": _build_regexp_extract(exp.RegexpExtract),
     559            "REGEXP_SUBSTR": _build_regexp_extract(exp.RegexpExtract),
     560            "REGEXP_EXTRACT_ALL": _build_regexp_extract(
     561                exp.RegexpExtractAll, default_group=exp.Literal.number(0)
     562            ),
     563            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
     564            "SHA512": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(512)),
     565            "SPLIT": lambda args: exp.Split(
     566                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
     567                this=seq_get(args, 0),
     568                expression=seq_get(args, 1) or exp.Literal.string(","),
     569            ),
     570            "STRPOS": exp.StrPosition.from_arg_list,
     571            "TIME": _build_time,
     572            "TIME_ADD": build_date_delta_with_interval(exp.TimeAdd),
     573            "TIME_SUB": build_date_delta_with_interval(exp.TimeSub),
     574            "TIMESTAMP": _build_timestamp,
     575            "TIMESTAMP_ADD": build_date_delta_with_interval(exp.TimestampAdd),
     576            "TIMESTAMP_SUB": build_date_delta_with_interval(exp.TimestampSub),
     577            "TIMESTAMP_MICROS": lambda args: exp.UnixToTime(
     578                this=seq_get(args, 0), scale=exp.UnixToTime.MICROS
     579            ),
     580            "TIMESTAMP_MILLIS": lambda args: exp.UnixToTime(
     581                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
     582            ),
     583            "TIMESTAMP_SECONDS": lambda args: exp.UnixToTime(this=seq_get(args, 0)),
     584            "TO_JSON_STRING": exp.JSONFormat.from_arg_list,
     585            "FORMAT_DATETIME": _build_format_time(exp.TsOrDsToDatetime),
     586            "FORMAT_TIMESTAMP": _build_format_time(exp.TsOrDsToTimestamp),
     587        }
     588
     589        FUNCTION_PARSERS = {
     590            **parser.Parser.FUNCTION_PARSERS,
     591            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
     592            "MAKE_INTERVAL": lambda self: self._parse_make_interval(),
     593            "FEATURES_AT_TIME": lambda self: self._parse_features_at_time(),
     594        }
     595        FUNCTION_PARSERS.pop("TRIM")
     596
     597        NO_PAREN_FUNCTIONS = {
     598            **parser.Parser.NO_PAREN_FUNCTIONS,
     599            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
     600        }
     601
     602        NESTED_TYPE_TOKENS = {
     603            *parser.Parser.NESTED_TYPE_TOKENS,
     604            TokenType.TABLE,
     605        }
     606
     607        PROPERTY_PARSERS = {
     608            **parser.Parser.PROPERTY_PARSERS,
     609            "NOT DETERMINISTIC": lambda self: self.expression(
     610                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
     611            ),
     612            "OPTIONS": lambda self: self._parse_with_property(),
     613        }
     614
     615        CONSTRAINT_PARSERS = {
     616            **parser.Parser.CONSTRAINT_PARSERS,
     617            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
     618        }
     619
     620        RANGE_PARSERS = parser.Parser.RANGE_PARSERS.copy()
     621        RANGE_PARSERS.pop(TokenType.OVERLAPS)
     622
     623        NULL_TOKENS = {TokenType.NULL, TokenType.UNKNOWN}
     624
     625        DASHED_TABLE_PART_FOLLOW_TOKENS = {TokenType.DOT, TokenType.L_PAREN, TokenType.R_PAREN}
     626
     627        STATEMENT_PARSERS = {
     628            **parser.Parser.STATEMENT_PARSERS,
     629            TokenType.ELSE: lambda self: self._parse_as_command(self._prev),
     630            TokenType.END: lambda self: self._parse_as_command(self._prev),
     631            TokenType.FOR: lambda self: self._parse_for_in(),
     632            TokenType.EXPORT: lambda self: self._parse_export_data(),
     633        }
     634
     635        BRACKET_OFFSETS = {
     636            "OFFSET": (0, False),
     637            "ORDINAL": (1, False),
     638            "SAFE_OFFSET": (0, True),
     639            "SAFE_ORDINAL": (1, True),
     640        }
     641
     642        def _parse_for_in(self) -> exp.ForIn:
     643            this = self._parse_range()
     644            self._match_text_seq("DO")
     645            return self.expression(exp.ForIn, this=this, expression=self._parse_statement())
     646
     647        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
     648            this = super()._parse_table_part(schema=schema) or self._parse_number()
     649
     650            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
     651            if isinstance(this, exp.Identifier):
     652                table_name = this.name
     653                while self._match(TokenType.DASH, advance=False) and self._next:
     654                    start = self._curr
     655                    while self._is_connected() and not self._match_set(
     656                        self.DASHED_TABLE_PART_FOLLOW_TOKENS, advance=False
     657                    ):
     658                        self._advance()
     659
     660                    table_name += self._find_sql(start, self._prev)
     661
     662                this = exp.Identifier(
     663                    this=table_name, quoted=this.args.get("quoted")
     664                ).update_positions(this)
     665            elif isinstance(this, exp.Literal):
     666                table_name = this.name
     667
     668                if self._is_connected() and self._parse_var(any_token=True):
     669                    table_name += self._prev.text
     670
     671                this = exp.Identifier(this=table_name, quoted=True).update_positions(this)
     672
     673            return this
     674
     675        def _parse_table_parts(
     676            self, schema: bool = False, is_db_reference: bool = False, wildcard: bool = False
     677        ) -> exp.Table:
     678            table = super()._parse_table_parts(
     679                schema=schema, is_db_reference=is_db_reference, wildcard=True
     680            )
     681
     682            # proj-1.db.tbl -- `1.` is tokenized as a float so we need to unravel it here
     683            if not table.catalog:
     684                if table.db:
     685                    previous_db = table.args["db"]
     686                    parts = table.db.split(".")
     687                    if len(parts) == 2 and not table.args["db"].quoted:
     688                        table.set(
     689                            "catalog", exp.Identifier(this=parts[0]).update_positions(previous_db)
     690                        )
     691                        table.set("db", exp.Identifier(this=parts[1]).update_positions(previous_db))
     692                else:
     693                    previous_this = table.this
     694                    parts = table.name.split(".")
     695                    if len(parts) == 2 and not table.this.quoted:
     696                        table.set(
     697                            "db", exp.Identifier(this=parts[0]).update_positions(previous_this)
     698                        )
     699                        table.set(
     700                            "this", exp.Identifier(this=parts[1]).update_positions(previous_this)
     701                        )
     702
     703            if isinstance(table.this, exp.Identifier) and any("." in p.name for p in table.parts):
     704                alias = table.this
     705                catalog, db, this, *rest = (
     706                    exp.to_identifier(p, quoted=True)
     707                    for p in split_num_words(".".join(p.name for p in table.parts), ".", 3)
     708                )
     709
     710                for part in (catalog, db, this):
     711                    if part:
     712                        part.update_positions(table.this)
     713
     714                if rest and this:
     715                    this = exp.Dot.build([this, *rest])  # type: ignore
     716
     717                table = exp.Table(
     718                    this=this, db=db, catalog=catalog, pivots=table.args.get("pivots")
     719                )
     720                table.meta["quoted_table"] = True
     721            else:
     722                alias = None
     723
     724            # The `INFORMATION_SCHEMA` views in BigQuery need to be qualified by a region or
     725            # dataset, so if the project identifier is omitted we need to fix the ast so that
     726            # the `INFORMATION_SCHEMA.X` bit is represented as a single (quoted) Identifier.
     727            # Otherwise, we wouldn't correctly qualify a `Table` node that references these
     728            # views, because it would seem like the "catalog" part is set, when it'd actually
     729            # be the region/dataset. Merging the two identifiers into a single one is done to
     730            # avoid producing a 4-part Table reference, which would cause issues in the schema
     731            # module, when there are 3-part table names mixed with information schema views.
     732            #
     733            # See: https://cloud.google.com/bigquery/docs/information-schema-intro#syntax
     734            table_parts = table.parts
     735            if len(table_parts) > 1 and table_parts[-2].name.upper() == "INFORMATION_SCHEMA":
     736                # We need to alias the table here to avoid breaking existing qualified columns.
     737                # This is expected to be safe, because if there's an actual alias coming up in
     738                # the token stream, it will overwrite this one. If there isn't one, we are only
     739                # exposing the name that can be used to reference the view explicitly (a no-op).
     740                exp.alias_(
     741                    table,
     742                    t.cast(exp.Identifier, alias or table_parts[-1]),
     743                    table=True,
     744                    copy=False,
     745                )
     746
     747                info_schema_view = f"{table_parts[-2].name}.{table_parts[-1].name}"
     748                new_this = exp.Identifier(this=info_schema_view, quoted=True).update_positions(
     749                    line=table_parts[-2].meta.get("line"),
     750                    col=table_parts[-1].meta.get("col"),
     751                    start=table_parts[-2].meta.get("start"),
     752                    end=table_parts[-1].meta.get("end"),
     753                )
     754                table.set("this", new_this)
     755                table.set("db", seq_get(table_parts, -3))
     756                table.set("catalog", seq_get(table_parts, -4))
     757
     758            return table
     759
     760        def _parse_column(self) -> t.Optional[exp.Expression]:
     761            column = super()._parse_column()
     762            if isinstance(column, exp.Column):
     763                parts = column.parts
     764                if any("." in p.name for p in parts):
     765                    catalog, db, table, this, *rest = (
     766                        exp.to_identifier(p, quoted=True)
     767                        for p in split_num_words(".".join(p.name for p in parts), ".", 4)
     768                    )
     769
     770                    if rest and this:
     771                        this = exp.Dot.build([this, *rest])  # type: ignore
     772
     773                    column = exp.Column(this=this, table=table, db=db, catalog=catalog)
     774                    column.meta["quoted_column"] = True
     775
     776            return column
     777
     778        @t.overload
     779        def _parse_json_object(self, agg: Lit[False]) -> exp.JSONObject: ...
     780
     781        @t.overload
     782        def _parse_json_object(self, agg: Lit[True]) -> exp.JSONObjectAgg: ...
     783
     784        def _parse_json_object(self, agg=False):
     785            json_object = super()._parse_json_object()
     786            array_kv_pair = seq_get(json_object.expressions, 0)
     787
     788            # Converts BQ's "signature 2" of JSON_OBJECT into SQLGlot's canonical representation
     789            # https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions#json_object_signature2
     790            if (
     791                array_kv_pair
     792                and isinstance(array_kv_pair.this, exp.Array)
     793                and isinstance(array_kv_pair.expression, exp.Array)
     794            ):
     795                keys = array_kv_pair.this.expressions
     796                values = array_kv_pair.expression.expressions
     797
     798                json_object.set(
     799                    "expressions",
     800                    [exp.JSONKeyValue(this=k, expression=v) for k, v in zip(keys, values)],
     801                )
     802
     803            return json_object
     804
     805        def _parse_bracket(
     806            self, this: t.Optional[exp.Expression] = None
     807        ) -> t.Optional[exp.Expression]:
     808            bracket = super()._parse_bracket(this)
     809
     810            if this is bracket:
     811                return bracket
     812
     813            if isinstance(bracket, exp.Bracket):
     814                for expression in bracket.expressions:
     815                    name = expression.name.upper()
     816
     817                    if name not in self.BRACKET_OFFSETS:
     818                        break
     819
     820                    offset, safe = self.BRACKET_OFFSETS[name]
     821                    bracket.set("offset", offset)
     822                    bracket.set("safe", safe)
     823                    expression.replace(expression.expressions[0])
     824
     825            return bracket
     826
     827        def _parse_unnest(self, with_alias: bool = True) -> t.Optional[exp.Unnest]:
     828            unnest = super()._parse_unnest(with_alias=with_alias)
     829
     830            if not unnest:
     831                return None
     832
     833            unnest_expr = seq_get(unnest.expressions, 0)
     834            if unnest_expr:
     835                from sqlglot.optimizer.annotate_types import annotate_types
     836
     837                unnest_expr = annotate_types(unnest_expr, dialect=self.dialect)
     838
     839                # Unnesting a nested array (i.e array of structs) explodes the top-level struct fields,
     840                # in contrast to other dialects such as DuckDB which flattens only the array by default
     841                if unnest_expr.is_type(exp.DataType.Type.ARRAY) and any(
     842                    array_elem.is_type(exp.DataType.Type.STRUCT)
     843                    for array_elem in unnest_expr._type.expressions
     844                ):
     845                    unnest.set("explode_array", True)
     846
     847            return unnest
     848
     849        def _parse_make_interval(self) -> exp.MakeInterval:
     850            expr = exp.MakeInterval()
     851
     852            for arg_key in expr.arg_types:
     853                value = self._parse_lambda()
     854
     855                if not value:
     856                    break
     857
     858                # Non-named arguments are filled sequentially, (optionally) followed by named arguments
     859                # that can appear in any order e.g MAKE_INTERVAL(1, minute => 5, day => 2)
     860                if isinstance(value, exp.Kwarg):
     861                    arg_key = value.this.name
     862
     863                expr.set(arg_key, value)
     864
     865                self._match(TokenType.COMMA)
     866
     867            return expr
     868
     869        def _parse_features_at_time(self) -> exp.FeaturesAtTime:
     870            expr = self.expression(
     871                exp.FeaturesAtTime,
     872                this=(self._match(TokenType.TABLE) and self._parse_table())
     873                or self._parse_select(nested=True),
     874            )
     875
     876            while self._match(TokenType.COMMA):
     877                arg = self._parse_lambda()
     878
     879                # Get the LHS of the Kwarg and set the arg to that value, e.g
     880                # "num_rows => 1" sets the expr's `num_rows` arg
     881                if arg:
     882                    expr.set(arg.this.name, arg)
     883
     884            return expr
     885
     886        def _parse_export_data(self) -> exp.Export:
     887            self._match_text_seq("DATA")
     888
     889            return self.expression(
     890                exp.Export,
     891                connection=self._match_text_seq("WITH", "CONNECTION") and self._parse_table_parts(),
     892                options=self._parse_properties(),
     893                this=self._match_text_seq("AS") and self._parse_select(),
     894            )
     895
     896    class Generator(generator.Generator):
     897        INTERVAL_ALLOWS_PLURAL_FORM = False
     898        JOIN_HINTS = False
     899        QUERY_HINTS = False
     900        TABLE_HINTS = False
     901        LIMIT_FETCH = "LIMIT"
     902        RENAME_TABLE_WITH_DB = False
     903        NVL2_SUPPORTED = False
     904        UNNEST_WITH_ORDINALITY = False
     905        COLLATE_IS_FUNC = True
     906        LIMIT_ONLY_LITERALS = True
     907        SUPPORTS_TABLE_ALIAS_COLUMNS = False
     908        UNPIVOT_ALIASES_ARE_IDENTIFIERS = False
     909        JSON_KEY_VALUE_PAIR_SEP = ","
     910        NULL_ORDERING_SUPPORTED = False
     911        IGNORE_NULLS_IN_FUNC = True
     912        JSON_PATH_SINGLE_QUOTE_ESCAPE = True
     913        CAN_IMPLEMENT_ARRAY_ANY = True
     914        SUPPORTS_TO_NUMBER = False
     915        NAMED_PLACEHOLDER_TOKEN = "@"
     916        HEX_FUNC = "TO_HEX"
     917        WITH_PROPERTIES_PREFIX = "OPTIONS"
     918        SUPPORTS_EXPLODING_PROJECTIONS = False
     919        EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE = False
     920        SUPPORTS_UNIX_SECONDS = True
     921
     922        TRANSFORMS = {
     923            **generator.Generator.TRANSFORMS,
     924            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
     925            exp.ArgMax: arg_max_or_min_no_count("MAX_BY"),
     926            exp.ArgMin: arg_max_or_min_no_count("MIN_BY"),
     927            exp.Array: inline_array_unless_query,
     928            exp.ArrayContains: _array_contains_sql,
     929            exp.ArrayFilter: filter_array_using_unnest,
     930            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
     931            exp.CollateProperty: lambda self, e: (
     932                f"DEFAULT COLLATE {self.sql(e, 'this')}"
     933                if e.args.get("default")
     934                else f"COLLATE {self.sql(e, 'this')}"
     935            ),
     936            exp.Commit: lambda *_: "COMMIT TRANSACTION",
     937            exp.CountIf: rename_func("COUNTIF"),
     938            exp.Create: _create_sql,
     939            exp.CTE: transforms.preprocess([_pushdown_cte_column_names]),
     940            exp.DateAdd: date_add_interval_sql("DATE", "ADD"),
     941            exp.DateDiff: lambda self, e: self.func(
     942                "DATE_DIFF", e.this, e.expression, unit_to_var(e)
     943            ),
     944            exp.DateFromParts: rename_func("DATE"),
     945            exp.DateStrToDate: datestrtodate_sql,
     946            exp.DateSub: date_add_interval_sql("DATE", "SUB"),
     947            exp.DatetimeAdd: date_add_interval_sql("DATETIME", "ADD"),
     948            exp.DatetimeSub: date_add_interval_sql("DATETIME", "SUB"),
     949            exp.DateTrunc: lambda self, e: self.func(
     950                "DATE_TRUNC", e.this, e.text("unit"), e.args.get("zone")
     951            ),
     952            exp.FromTimeZone: lambda self, e: self.func(
     953                "DATETIME", self.func("TIMESTAMP", e.this, e.args.get("zone")), "'UTC'"
     954            ),
     955            exp.GenerateSeries: rename_func("GENERATE_ARRAY"),
     956            exp.GroupConcat: lambda self, e: groupconcat_sql(
     957                self, e, func_name="STRING_AGG", within_group=False
     958            ),
     959            exp.Hex: lambda self, e: self.func("UPPER", self.func("TO_HEX", self.sql(e, "this"))),
     960            exp.HexString: lambda self, e: self.hexstring_sql(e, binary_function_repr="FROM_HEX"),
     961            exp.If: if_sql(false_value="NULL"),
     962            exp.ILike: no_ilike_sql,
     963            exp.IntDiv: rename_func("DIV"),
     964            exp.Int64: rename_func("INT64"),
     965            exp.JSONExtract: _json_extract_sql,
     966            exp.JSONExtractArray: _json_extract_sql,
     967            exp.JSONExtractScalar: _json_extract_sql,
     968            exp.JSONFormat: rename_func("TO_JSON_STRING"),
     969            exp.Levenshtein: _levenshtein_sql,
     970            exp.Max: max_or_greatest,
     971            exp.MD5: lambda self, e: self.func("TO_HEX", self.func("MD5", e.this)),
     972            exp.MD5Digest: rename_func("MD5"),
     973            exp.Min: min_or_least,
     974            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
     975            exp.RegexpExtract: lambda self, e: self.func(
     976                "REGEXP_EXTRACT",
     977                e.this,
     978                e.expression,
     979                e.args.get("position"),
     980                e.args.get("occurrence"),
     981            ),
     982            exp.RegexpExtractAll: lambda self, e: self.func(
     983                "REGEXP_EXTRACT_ALL", e.this, e.expression
     984            ),
     985            exp.RegexpReplace: regexp_replace_sql,
     986            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
     987            exp.ReturnsProperty: _returnsproperty_sql,
     988            exp.Rollback: lambda *_: "ROLLBACK TRANSACTION",
     989            exp.Select: transforms.preprocess(
     990                [
     991                    transforms.explode_projection_to_unnest(),
     992                    transforms.unqualify_unnest,
     993                    transforms.eliminate_distinct_on,
     994                    _alias_ordered_group,
     995                    transforms.eliminate_semi_and_anti_joins,
     996                ]
     997            ),
     998            exp.SHA: rename_func("SHA1"),
     999            exp.SHA2: sha256_sql,
    1000            exp.StabilityProperty: lambda self, e: (
    1001                "DETERMINISTIC" if e.name == "IMMUTABLE" else "NOT DETERMINISTIC"
    1002            ),
    1003            exp.String: rename_func("STRING"),
    1004            exp.StrPosition: lambda self, e: (
    1005                strposition_sql(
    1006                    self, e, func_name="INSTR", supports_position=True, supports_occurrence=True
    1007                )
    1008            ),
    1009            exp.StrToDate: _str_to_datetime_sql,
    1010            exp.StrToTime: _str_to_datetime_sql,
    1011            exp.TimeAdd: date_add_interval_sql("TIME", "ADD"),
    1012            exp.TimeFromParts: rename_func("TIME"),
    1013            exp.TimestampFromParts: rename_func("DATETIME"),
    1014            exp.TimeSub: date_add_interval_sql("TIME", "SUB"),
    1015            exp.TimestampAdd: date_add_interval_sql("TIMESTAMP", "ADD"),
    1016            exp.TimestampDiff: rename_func("TIMESTAMP_DIFF"),
    1017            exp.TimestampSub: date_add_interval_sql("TIMESTAMP", "SUB"),
    1018            exp.TimeStrToTime: timestrtotime_sql,
    1019            exp.Transaction: lambda *_: "BEGIN TRANSACTION",
    1020            exp.TsOrDsAdd: _ts_or_ds_add_sql,
    1021            exp.TsOrDsDiff: _ts_or_ds_diff_sql,
    1022            exp.TsOrDsToTime: rename_func("TIME"),
    1023            exp.TsOrDsToDatetime: rename_func("DATETIME"),
    1024            exp.TsOrDsToTimestamp: rename_func("TIMESTAMP"),
    1025            exp.Unhex: rename_func("FROM_HEX"),
    1026            exp.UnixDate: rename_func("UNIX_DATE"),
    1027            exp.UnixToTime: _unix_to_time_sql,
    1028            exp.Uuid: lambda *_: "GENERATE_UUID()",
    1029            exp.Values: _derived_table_values_to_unnest,
    1030            exp.VariancePop: rename_func("VAR_POP"),
    1031            exp.SafeDivide: rename_func("SAFE_DIVIDE"),
    1032        }
    1033
    1034        SUPPORTED_JSON_PATH_PARTS = {
    1035            exp.JSONPathKey,
    1036            exp.JSONPathRoot,
    1037            exp.JSONPathSubscript,
    1038        }
    1039
    1040        TYPE_MAPPING = {
    1041            **generator.Generator.TYPE_MAPPING,
    1042            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
    1043            exp.DataType.Type.BIGINT: "INT64",
    1044            exp.DataType.Type.BINARY: "BYTES",
    1045            exp.DataType.Type.BLOB: "BYTES",
    1046            exp.DataType.Type.BOOLEAN: "BOOL",
    1047            exp.DataType.Type.CHAR: "STRING",
    1048            exp.DataType.Type.DECIMAL: "NUMERIC",
    1049            exp.DataType.Type.DOUBLE: "FLOAT64",
    1050            exp.DataType.Type.FLOAT: "FLOAT64",
    1051            exp.DataType.Type.INT: "INT64",
    1052            exp.DataType.Type.NCHAR: "STRING",
    1053            exp.DataType.Type.NVARCHAR: "STRING",
    1054            exp.DataType.Type.SMALLINT: "INT64",
    1055            exp.DataType.Type.TEXT: "STRING",
    1056            exp.DataType.Type.TIMESTAMP: "DATETIME",
    1057            exp.DataType.Type.TIMESTAMPNTZ: "DATETIME",
    1058            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
    1059            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
    1060            exp.DataType.Type.TINYINT: "INT64",
    1061            exp.DataType.Type.ROWVERSION: "BYTES",
    1062            exp.DataType.Type.UUID: "STRING",
    1063            exp.DataType.Type.VARBINARY: "BYTES",
    1064            exp.DataType.Type.VARCHAR: "STRING",
    1065            exp.DataType.Type.VARIANT: "ANY TYPE",
    1066        }
    1067
    1068        PROPERTIES_LOCATION = {
    1069            **generator.Generator.PROPERTIES_LOCATION,
    1070            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
    1071            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
    1072        }
    1073
    1074        # WINDOW comes after QUALIFY
    1075        # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#window_clause
    1076        AFTER_HAVING_MODIFIER_TRANSFORMS = {
    1077            "qualify": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["qualify"],
    1078            "windows": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["windows"],
    1079        }
    1080
    1081        # from: https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#reserved_keywords
    1082        RESERVED_KEYWORDS = {
    1083            "all",
    1084            "and",
    1085            "any",
    1086            "array",
    1087            "as",
    1088            "asc",
    1089            "assert_rows_modified",
    1090            "at",
    1091            "between",
    1092            "by",
    1093            "case",
    1094            "cast",
    1095            "collate",
    1096            "contains",
    1097            "create",
    1098            "cross",
    1099            "cube",
    1100            "current",
    1101            "default",
    1102            "define",
    1103            "desc",
    1104            "distinct",
    1105            "else",
    1106            "end",
    1107            "enum",
    1108            "escape",
    1109            "except",
    1110            "exclude",
    1111            "exists",
    1112            "extract",
    1113            "false",
    1114            "fetch",
    1115            "following",
    1116            "for",
    1117            "from",
    1118            "full",
    1119            "group",
    1120            "grouping",
    1121            "groups",
    1122            "hash",
    1123            "having",
    1124            "if",
    1125            "ignore",
    1126            "in",
    1127            "inner",
    1128            "intersect",
    1129            "interval",
    1130            "into",
    1131            "is",
    1132            "join",
    1133            "lateral",
    1134            "left",
    1135            "like",
    1136            "limit",
    1137            "lookup",
    1138            "merge",
    1139            "natural",
    1140            "new",
    1141            "no",
    1142            "not",
    1143            "null",
    1144            "nulls",
    1145            "of",
    1146            "on",
    1147            "or",
    1148            "order",
    1149            "outer",
    1150            "over",
    1151            "partition",
    1152            "preceding",
    1153            "proto",
    1154            "qualify",
    1155            "range",
    1156            "recursive",
    1157            "respect",
    1158            "right",
    1159            "rollup",
    1160            "rows",
    1161            "select",
    1162            "set",
    1163            "some",
    1164            "struct",
    1165            "tablesample",
    1166            "then",
    1167            "to",
    1168            "treat",
    1169            "true",
    1170            "unbounded",
    1171            "union",
    1172            "unnest",
    1173            "using",
    1174            "when",
    1175            "where",
    1176            "window",
    1177            "with",
    1178            "within",
    1179        }
    1180
    1181        def mod_sql(self, expression: exp.Mod) -> str:
    1182            this = expression.this
    1183            expr = expression.expression
    1184            return self.func(
    1185                "MOD",
    1186                this.unnest() if isinstance(this, exp.Paren) else this,
    1187                expr.unnest() if isinstance(expr, exp.Paren) else expr,
    1188            )
    1189
    1190        def column_parts(self, expression: exp.Column) -> str:
    1191            if expression.meta.get("quoted_column"):
    1192                # If a column reference is of the form `dataset.table`.name, we need
    1193                # to preserve the quoted table path, otherwise the reference breaks
    1194                table_parts = ".".join(p.name for p in expression.parts[:-1])
    1195                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
    1196                return f"{table_path}.{self.sql(expression, 'this')}"
    1197
    1198            return super().column_parts(expression)
    1199
    1200        def table_parts(self, expression: exp.Table) -> str:
    1201            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
    1202            # we need to make sure the correct quoting is used in each case.
    1203            #
    1204            # For example, if there is a CTE x that clashes with a schema name, then the former will
    1205            # return the table y in that schema, whereas the latter will return the CTE's y column:
    1206            #
    1207            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
    1208            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
    1209            if expression.meta.get("quoted_table"):
    1210                table_parts = ".".join(p.name for p in expression.parts)
    1211                return self.sql(exp.Identifier(this=table_parts, quoted=True))
    1212
    1213            return super().table_parts(expression)
    1214
    1215        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
    1216            this = expression.this
    1217            if isinstance(this, exp.TsOrDsToDatetime):
    1218                func_name = "FORMAT_DATETIME"
    1219            elif isinstance(this, exp.TsOrDsToTimestamp):
    1220                func_name = "FORMAT_TIMESTAMP"
    1221            else:
    1222                func_name = "FORMAT_DATE"
    1223
    1224            time_expr = (
    1225                this
    1226                if isinstance(this, (exp.TsOrDsToDatetime, exp.TsOrDsToTimestamp, exp.TsOrDsToDate))
    1227                else expression
    1228            )
    1229            return self.func(
    1230                func_name, self.format_time(expression), time_expr.this, expression.args.get("zone")
    1231            )
    1232
    1233        def eq_sql(self, expression: exp.EQ) -> str:
    1234            # Operands of = cannot be NULL in BigQuery
    1235            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
    1236                if not isinstance(expression.parent, exp.Update):
    1237                    return "NULL"
    1238
    1239            return self.binary(expression, "=")
    1240
    1241        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
    1242            parent = expression.parent
    1243
    1244            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
    1245            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
    1246            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
    1247                return self.func(
    1248                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
    1249                )
    1250
    1251            return super().attimezone_sql(expression)
    1252
    1253        def trycast_sql(self, expression: exp.TryCast) -> str:
    1254            return self.cast_sql(expression, safe_prefix="SAFE_")
    1255
    1256        def bracket_sql(self, expression: exp.Bracket) -> str:
    1257            this = expression.this
    1258            expressions = expression.expressions
    1259
    1260            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
    1261                arg = expressions[0]
    1262                if arg.type is None:
    1263                    from sqlglot.optimizer.annotate_types import annotate_types
    1264
    1265                    arg = annotate_types(arg, dialect=self.dialect)
    1266
    1267                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
    1268                    # BQ doesn't support bracket syntax with string values for structs
    1269                    return f"{self.sql(this)}.{arg.name}"
    1270
    1271            expressions_sql = self.expressions(expression, flat=True)
    1272            offset = expression.args.get("offset")
    1273
    1274            if offset == 0:
    1275                expressions_sql = f"OFFSET({expressions_sql})"
    1276            elif offset == 1:
    1277                expressions_sql = f"ORDINAL({expressions_sql})"
    1278            elif offset is not None:
    1279                self.unsupported(f"Unsupported array offset: {offset}")
    1280
    1281            if expression.args.get("safe"):
    1282                expressions_sql = f"SAFE_{expressions_sql}"
    1283
    1284            return f"{self.sql(this)}[{expressions_sql}]"
    1285
    1286        def in_unnest_op(self, expression: exp.Unnest) -> str:
    1287            return self.sql(expression)
    1288
    1289        def version_sql(self, expression: exp.Version) -> str:
    1290            if expression.name == "TIMESTAMP":
    1291                expression.set("this", "SYSTEM_TIME")
    1292            return super().version_sql(expression)
    1293
    1294        def contains_sql(self, expression: exp.Contains) -> str:
    1295            this = expression.this
    1296            expr = expression.expression
    1297
    1298            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
    1299                this = this.this
    1300                expr = expr.this
    1301
    1302            return self.func("CONTAINS_SUBSTR", this, expr)
    1303
    1304        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
    1305            this = expression.this
    1306
    1307            # This ensures that inline type-annotated ARRAY literals like ARRAY<INT64>[1, 2, 3]
    1308            # are roundtripped unaffected. The inner check excludes ARRAY(SELECT ...) expressions,
    1309            # because they aren't literals and so the above syntax is invalid BigQuery.
    1310            if isinstance(this, exp.Array):
    1311                elem = seq_get(this.expressions, 0)
    1312                if not (elem and elem.find(exp.Query)):
    1313                    return f"{self.sql(expression, 'to')}{self.sql(this)}"
    1314
    1315            return super().cast_sql(expression, safe_prefix=safe_prefix)

logger = <Logger sqlglot (WARNING)>
JSON_EXTRACT_TYPE = typing.Union[sqlglot.expressions.JSONExtract, sqlglot.expressions.JSONExtractScalar, sqlglot.expressions.JSONExtractArray]
DQUOTES_ESCAPING_JSON_FUNCTIONS = ('JSON_QUERY', 'JSON_VALUE', 'JSON_QUERY_ARRAY')
class BigQuery(sqlglot.dialects.dialect.Dialect): View Source

     368class BigQuery(Dialect):
     369    WEEK_OFFSET = -1
     370    UNNEST_COLUMN_ONLY = True
     371    SUPPORTS_USER_DEFINED_TYPES = False
     372    SUPPORTS_SEMI_ANTI_JOIN = False
     373    LOG_BASE_FIRST = False
     374    HEX_LOWERCASE = True
     375    FORCE_EARLY_ALIAS_REF_EXPANSION = True
     376    PRESERVE_ORIGINAL_NAMES = True
     377    HEX_STRING_IS_INTEGER_TYPE = True
     378
     379    # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#case_sensitivity
     380    NORMALIZATION_STRATEGY = NormalizationStrategy.CASE_INSENSITIVE
     381
     382    # bigquery udfs are case sensitive
     383    NORMALIZE_FUNCTIONS = False
     384
     385    # https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_elements_date_time
     386    TIME_MAPPING = {
     387        "%D": "%m/%d/%y",
     388        "%E6S": "%S.%f",
     389        "%e": "%-d",
     390    }
     391
     392    FORMAT_MAPPING = {
     393        "DD": "%d",
     394        "MM": "%m",
     395        "MON": "%b",
     396        "MONTH": "%B",
     397        "YYYY": "%Y",
     398        "YY": "%y",
     399        "HH": "%I",
     400        "HH12": "%I",
     401        "HH24": "%H",
     402        "MI": "%M",
     403        "SS": "%S",
     404        "SSSSS": "%f",
     405        "TZH": "%z",
     406    }
     407
     408    # The _PARTITIONTIME and _PARTITIONDATE pseudo-columns are not returned by a SELECT * statement
     409    # https://cloud.google.com/bigquery/docs/querying-partitioned-tables#query_an_ingestion-time_partitioned_table
     410    PSEUDOCOLUMNS = {"_PARTITIONTIME", "_PARTITIONDATE"}
     411
     412    # All set operations require either a DISTINCT or ALL specifier
     413    SET_OP_DISTINCT_BY_DEFAULT = dict.fromkeys((exp.Except, exp.Intersect, exp.Union), None)
     414
     415    # BigQuery maps Type.TIMESTAMP to DATETIME, so we need to amend the inferred types
     416    TYPE_TO_EXPRESSIONS = {
     417        **Dialect.TYPE_TO_EXPRESSIONS,
     418        exp.DataType.Type.TIMESTAMPTZ: Dialect.TYPE_TO_EXPRESSIONS[exp.DataType.Type.TIMESTAMP],
     419    }
     420    TYPE_TO_EXPRESSIONS.pop(exp.DataType.Type.TIMESTAMP)
     421
     422    ANNOTATORS = {
     423        **Dialect.ANNOTATORS,
     424        **{
     425            expr_type: annotate_with_type_lambda(data_type)
     426            for data_type, expressions in TYPE_TO_EXPRESSIONS.items()
     427            for expr_type in expressions
     428        },
     429        **{
     430            expr_type: lambda self, e: _annotate_math_functions(self, e)
     431            for expr_type in (exp.Floor, exp.Ceil, exp.Log, exp.Ln, exp.Sqrt, exp.Exp, exp.Round)
     432        },
     433        **{
     434            expr_type: lambda self, e: self._annotate_by_args(e, "this")
     435            for expr_type in (
     436                exp.Left,
     437                exp.Right,
     438                exp.Lower,
     439                exp.Upper,
     440                exp.Pad,
     441                exp.Trim,
     442                exp.RegexpExtract,
     443                exp.RegexpReplace,
     444                exp.Repeat,
     445                exp.Substring,
     446            )
     447        },
     448        exp.Concat: _annotate_concat,
     449        exp.Sign: lambda self, e: self._annotate_by_args(e, "this"),
     450        exp.Split: lambda self, e: self._annotate_by_args(e, "this", array=True),
     451    }
     452
     453    def normalize_identifier(self, expression: E) -> E:
     454        if (
     455            isinstance(expression, exp.Identifier)
     456            and self.normalization_strategy is NormalizationStrategy.CASE_INSENSITIVE
     457        ):
     458            parent = expression.parent
     459            while isinstance(parent, exp.Dot):
     460                parent = parent.parent
     461
     462            # In BigQuery, CTEs are case-insensitive, but UDF and table names are case-sensitive
     463            # by default. The following check uses a heuristic to detect tables based on whether
     464            # they are qualified. This should generally be correct, because tables in BigQuery
     465            # must be qualified with at least a dataset, unless @@dataset_id is set.
     466            case_sensitive = (
     467                isinstance(parent, exp.UserDefinedFunction)
     468                or (
     469                    isinstance(parent, exp.Table)
     470                    and parent.db
     471                    and (parent.meta.get("quoted_table") or not parent.meta.get("maybe_column"))
     472                )
     473                or expression.meta.get("is_table")
     474            )
     475            if not case_sensitive:
     476                expression.set("this", expression.this.lower())
     477
     478            return t.cast(E, expression)
     479
     480        return super().normalize_identifier(expression)
     481
     482    class Tokenizer(tokens.Tokenizer):
     483        QUOTES = ["'", '"', '"""', "'''"]
     484        COMMENTS = ["--", "#", ("/*", "*/")]
     485        IDENTIFIERS = ["`"]
     486        STRING_ESCAPES = ["\\"]
     487
     488        HEX_STRINGS = [("0x", ""), ("0X", "")]
     489
     490        BYTE_STRINGS = [
     491            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
     492        ]
     493
     494        RAW_STRINGS = [
     495            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
     496        ]
     497
     498        KEYWORDS = {
     499            **tokens.Tokenizer.KEYWORDS,
     500            "ANY TYPE": TokenType.VARIANT,
     501            "BEGIN": TokenType.COMMAND,
     502            "BEGIN TRANSACTION": TokenType.BEGIN,
     503            "BYTEINT": TokenType.INT,
     504            "BYTES": TokenType.BINARY,
     505            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
     506            "DATETIME": TokenType.TIMESTAMP,
     507            "DECLARE": TokenType.COMMAND,
     508            "ELSEIF": TokenType.COMMAND,
     509            "EXCEPTION": TokenType.COMMAND,
     510            "EXPORT": TokenType.EXPORT,
     511            "FLOAT64": TokenType.DOUBLE,
     512            "FOR SYSTEM_TIME": TokenType.TIMESTAMP_SNAPSHOT,
     513            "MODEL": TokenType.MODEL,
     514            "NOT DETERMINISTIC": TokenType.VOLATILE,
     515            "RECORD": TokenType.STRUCT,
     516            "TIMESTAMP": TokenType.TIMESTAMPTZ,
     517        }
     518        KEYWORDS.pop("DIV")
     519        KEYWORDS.pop("VALUES")
     520        KEYWORDS.pop("/*+")
     521
     522    class Parser(parser.Parser):
     523        PREFIXED_PIVOT_COLUMNS = True
     524        LOG_DEFAULTS_TO_LN = True
     525        SUPPORTS_IMPLICIT_UNNEST = True
     526
     527        FUNCTIONS = {
     528            **parser.Parser.FUNCTIONS,
     529            "CONTAINS_SUBSTR": _build_contains_substring,
     530            "DATE": _build_date,
     531            "DATE_ADD": build_date_delta_with_interval(exp.DateAdd),
     532            "DATE_SUB": build_date_delta_with_interval(exp.DateSub),
     533            "DATE_TRUNC": lambda args: exp.DateTrunc(
     534                unit=exp.Literal.string(str(seq_get(args, 1))),
     535                this=seq_get(args, 0),
     536                zone=seq_get(args, 2),
     537            ),
     538            "DATETIME": _build_datetime,
     539            "DATETIME_ADD": build_date_delta_with_interval(exp.DatetimeAdd),
     540            "DATETIME_SUB": build_date_delta_with_interval(exp.DatetimeSub),
     541            "DIV": binary_from_function(exp.IntDiv),
     542            "EDIT_DISTANCE": _build_levenshtein,
     543            "FORMAT_DATE": _build_format_time(exp.TsOrDsToDate),
     544            "GENERATE_ARRAY": exp.GenerateSeries.from_arg_list,
     545            "JSON_EXTRACT_SCALAR": _build_extract_json_with_default_path(exp.JSONExtractScalar),
     546            "JSON_EXTRACT_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
     547            "JSON_QUERY": parser.build_extract_json_with_path(exp.JSONExtract),
     548            "JSON_QUERY_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
     549            "JSON_VALUE": _build_extract_json_with_default_path(exp.JSONExtractScalar),
     550            "JSON_VALUE_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
     551            "LENGTH": lambda args: exp.Length(this=seq_get(args, 0), binary=True),
     552            "MD5": exp.MD5Digest.from_arg_list,
     553            "TO_HEX": _build_to_hex,
     554            "PARSE_DATE": lambda args: build_formatted_time(exp.StrToDate, "bigquery")(
     555                [seq_get(args, 1), seq_get(args, 0)]
     556            ),
     557            "PARSE_TIMESTAMP": _build_parse_timestamp,
     558            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
     559            "REGEXP_EXTRACT": _build_regexp_extract(exp.RegexpExtract),
     560            "REGEXP_SUBSTR": _build_regexp_extract(exp.RegexpExtract),
     561            "REGEXP_EXTRACT_ALL": _build_regexp_extract(
     562                exp.RegexpExtractAll, default_group=exp.Literal.number(0)
     563            ),
     564            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
     565            "SHA512": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(512)),
     566            "SPLIT": lambda args: exp.Split(
     567                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
     568                this=seq_get(args, 0),
     569                expression=seq_get(args, 1) or exp.Literal.string(","),
     570            ),
     571            "STRPOS": exp.StrPosition.from_arg_list,
     572            "TIME": _build_time,
     573            "TIME_ADD": build_date_delta_with_interval(exp.TimeAdd),
     574            "TIME_SUB": build_date_delta_with_interval(exp.TimeSub),
     575            "TIMESTAMP": _build_timestamp,
     576            "TIMESTAMP_ADD": build_date_delta_with_interval(exp.TimestampAdd),
     577            "TIMESTAMP_SUB": build_date_delta_with_interval(exp.TimestampSub),
     578            "TIMESTAMP_MICROS": lambda args: exp.UnixToTime(
     579                this=seq_get(args, 0), scale=exp.UnixToTime.MICROS
     580            ),
     581            "TIMESTAMP_MILLIS": lambda args: exp.UnixToTime(
     582                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
     583            ),
     584            "TIMESTAMP_SECONDS": lambda args: exp.UnixToTime(this=seq_get(args, 0)),
     585            "TO_JSON_STRING": exp.JSONFormat.from_arg_list,
     586            "FORMAT_DATETIME": _build_format_time(exp.TsOrDsToDatetime),
     587            "FORMAT_TIMESTAMP": _build_format_time(exp.TsOrDsToTimestamp),
     588        }
     589
     590        FUNCTION_PARSERS = {
     591            **parser.Parser.FUNCTION_PARSERS,
     592            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
     593            "MAKE_INTERVAL": lambda self: self._parse_make_interval(),
     594            "FEATURES_AT_TIME": lambda self: self._parse_features_at_time(),
     595        }
     596        FUNCTION_PARSERS.pop("TRIM")
     597
     598        NO_PAREN_FUNCTIONS = {
     599            **parser.Parser.NO_PAREN_FUNCTIONS,
     600            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
     601        }
     602
     603        NESTED_TYPE_TOKENS = {
     604            *parser.Parser.NESTED_TYPE_TOKENS,
     605            TokenType.TABLE,
     606        }
     607
     608        PROPERTY_PARSERS = {
     609            **parser.Parser.PROPERTY_PARSERS,
     610            "NOT DETERMINISTIC": lambda self: self.expression(
     611                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
     612            ),
     613            "OPTIONS": lambda self: self._parse_with_property(),
     614        }
     615
     616        CONSTRAINT_PARSERS = {
     617            **parser.Parser.CONSTRAINT_PARSERS,
     618            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
     619        }
     620
     621        RANGE_PARSERS = parser.Parser.RANGE_PARSERS.copy()
     622        RANGE_PARSERS.pop(TokenType.OVERLAPS)
     623
     624        NULL_TOKENS = {TokenType.NULL, TokenType.UNKNOWN}
     625
     626        DASHED_TABLE_PART_FOLLOW_TOKENS = {TokenType.DOT, TokenType.L_PAREN, TokenType.R_PAREN}
     627
     628        STATEMENT_PARSERS = {
     629            **parser.Parser.STATEMENT_PARSERS,
     630            TokenType.ELSE: lambda self: self._parse_as_command(self._prev),
     631            TokenType.END: lambda self: self._parse_as_command(self._prev),
     632            TokenType.FOR: lambda self: self._parse_for_in(),
     633            TokenType.EXPORT: lambda self: self._parse_export_data(),
     634        }
     635
     636        BRACKET_OFFSETS = {
     637            "OFFSET": (0, False),
     638            "ORDINAL": (1, False),
     639            "SAFE_OFFSET": (0, True),
     640            "SAFE_ORDINAL": (1, True),
     641        }
     642
     643        def _parse_for_in(self) -> exp.ForIn:
     644            this = self._parse_range()
     645            self._match_text_seq("DO")
     646            return self.expression(exp.ForIn, this=this, expression=self._parse_statement())
     647
     648        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
     649            this = super()._parse_table_part(schema=schema) or self._parse_number()
     650
     651            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
     652            if isinstance(this, exp.Identifier):
     653                table_name = this.name
     654                while self._match(TokenType.DASH, advance=False) and self._next:
     655                    start = self._curr
     656                    while self._is_connected() and not self._match_set(
     657                        self.DASHED_TABLE_PART_FOLLOW_TOKENS, advance=False
     658                    ):
     659                        self._advance()
     660
     661                    table_name += self._find_sql(start, self._prev)
     662
     663                this = exp.Identifier(
     664                    this=table_name, quoted=this.args.get("quoted")
     665                ).update_positions(this)
     666            elif isinstance(this, exp.Literal):
     667                table_name = this.name
     668
     669                if self._is_connected() and self._parse_var(any_token=True):
     670                    table_name += self._prev.text
     671
     672                this = exp.Identifier(this=table_name, quoted=True).update_positions(this)
     673
     674            return this
     675
     676        def _parse_table_parts(
     677            self, schema: bool = False, is_db_reference: bool = False, wildcard: bool = False
     678        ) -> exp.Table:
     679            table = super()._parse_table_parts(
     680                schema=schema, is_db_reference=is_db_reference, wildcard=True
     681            )
     682
     683            # proj-1.db.tbl -- `1.` is tokenized as a float so we need to unravel it here
     684            if not table.catalog:
     685                if table.db:
     686                    previous_db = table.args["db"]
     687                    parts = table.db.split(".")
     688                    if len(parts) == 2 and not table.args["db"].quoted:
     689                        table.set(
     690                            "catalog", exp.Identifier(this=parts[0]).update_positions(previous_db)
     691                        )
     692                        table.set("db", exp.Identifier(this=parts[1]).update_positions(previous_db))
     693                else:
     694                    previous_this = table.this
     695                    parts = table.name.split(".")
     696                    if len(parts) == 2 and not table.this.quoted:
     697                        table.set(
     698                            "db", exp.Identifier(this=parts[0]).update_positions(previous_this)
     699                        )
     700                        table.set(
     701                            "this", exp.Identifier(this=parts[1]).update_positions(previous_this)
     702                        )
     703
     704            if isinstance(table.this, exp.Identifier) and any("." in p.name for p in table.parts):
     705                alias = table.this
     706                catalog, db, this, *rest = (
     707                    exp.to_identifier(p, quoted=True)
     708                    for p in split_num_words(".".join(p.name for p in table.parts), ".", 3)
     709                )
     710
     711                for part in (catalog, db, this):
     712                    if part:
     713                        part.update_positions(table.this)
     714
     715                if rest and this:
     716                    this = exp.Dot.build([this, *rest])  # type: ignore
     717
     718                table = exp.Table(
     719                    this=this, db=db, catalog=catalog, pivots=table.args.get("pivots")
     720                )
     721                table.meta["quoted_table"] = True
     722            else:
     723                alias = None
     724
     725            # The `INFORMATION_SCHEMA` views in BigQuery need to be qualified by a region or
     726            # dataset, so if the project identifier is omitted we need to fix the ast so that
     727            # the `INFORMATION_SCHEMA.X` bit is represented as a single (quoted) Identifier.
     728            # Otherwise, we wouldn't correctly qualify a `Table` node that references these
     729            # views, because it would seem like the "catalog" part is set, when it'd actually
     730            # be the region/dataset. Merging the two identifiers into a single one is done to
     731            # avoid producing a 4-part Table reference, which would cause issues in the schema
     732            # module, when there are 3-part table names mixed with information schema views.
     733            #
     734            # See: https://cloud.google.com/bigquery/docs/information-schema-intro#syntax
     735            table_parts = table.parts
     736            if len(table_parts) > 1 and table_parts[-2].name.upper() == "INFORMATION_SCHEMA":
     737                # We need to alias the table here to avoid breaking existing qualified columns.
     738                # This is expected to be safe, because if there's an actual alias coming up in
     739                # the token stream, it will overwrite this one. If there isn't one, we are only
     740                # exposing the name that can be used to reference the view explicitly (a no-op).
     741                exp.alias_(
     742                    table,
     743                    t.cast(exp.Identifier, alias or table_parts[-1]),
     744                    table=True,
     745                    copy=False,
     746                )
     747
     748                info_schema_view = f"{table_parts[-2].name}.{table_parts[-1].name}"
     749                new_this = exp.Identifier(this=info_schema_view, quoted=True).update_positions(
     750                    line=table_parts[-2].meta.get("line"),
     751                    col=table_parts[-1].meta.get("col"),
     752                    start=table_parts[-2].meta.get("start"),
     753                    end=table_parts[-1].meta.get("end"),
     754                )
     755                table.set("this", new_this)
     756                table.set("db", seq_get(table_parts, -3))
     757                table.set("catalog", seq_get(table_parts, -4))
     758
     759            return table
     760
     761        def _parse_column(self) -> t.Optional[exp.Expression]:
     762            column = super()._parse_column()
     763            if isinstance(column, exp.Column):
     764                parts = column.parts
     765                if any("." in p.name for p in parts):
     766                    catalog, db, table, this, *rest = (
     767                        exp.to_identifier(p, quoted=True)
     768                        for p in split_num_words(".".join(p.name for p in parts), ".", 4)
     769                    )
     770
     771                    if rest and this:
     772                        this = exp.Dot.build([this, *rest])  # type: ignore
     773
     774                    column = exp.Column(this=this, table=table, db=db, catalog=catalog)
     775                    column.meta["quoted_column"] = True
     776
     777            return column
     778
     779        @t.overload
     780        def _parse_json_object(self, agg: Lit[False]) -> exp.JSONObject: ...
     781
     782        @t.overload
     783        def _parse_json_object(self, agg: Lit[True]) -> exp.JSONObjectAgg: ...
     784
     785        def _parse_json_object(self, agg=False):
     786            json_object = super()._parse_json_object()
     787            array_kv_pair = seq_get(json_object.expressions, 0)
     788
     789            # Converts BQ's "signature 2" of JSON_OBJECT into SQLGlot's canonical representation
     790            # https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions#json_object_signature2
     791            if (
     792                array_kv_pair
     793                and isinstance(array_kv_pair.this, exp.Array)
     794                and isinstance(array_kv_pair.expression, exp.Array)
     795            ):
     796                keys = array_kv_pair.this.expressions
     797                values = array_kv_pair.expression.expressions
     798
     799                json_object.set(
     800                    "expressions",
     801                    [exp.JSONKeyValue(this=k, expression=v) for k, v in zip(keys, values)],
     802                )
     803
     804            return json_object
     805
     806        def _parse_bracket(
     807            self, this: t.Optional[exp.Expression] = None
     808        ) -> t.Optional[exp.Expression]:
     809            bracket = super()._parse_bracket(this)
     810
     811            if this is bracket:
     812                return bracket
     813
     814            if isinstance(bracket, exp.Bracket):
     815                for expression in bracket.expressions:
     816                    name = expression.name.upper()
     817
     818                    if name not in self.BRACKET_OFFSETS:
     819                        break
     820
     821                    offset, safe = self.BRACKET_OFFSETS[name]
     822                    bracket.set("offset", offset)
     823                    bracket.set("safe", safe)
     824                    expression.replace(expression.expressions[0])
     825
     826            return bracket
     827
     828        def _parse_unnest(self, with_alias: bool = True) -> t.Optional[exp.Unnest]:
     829            unnest = super()._parse_unnest(with_alias=with_alias)
     830
     831            if not unnest:
     832                return None
     833
     834            unnest_expr = seq_get(unnest.expressions, 0)
     835            if unnest_expr:
     836                from sqlglot.optimizer.annotate_types import annotate_types
     837
     838                unnest_expr = annotate_types(unnest_expr, dialect=self.dialect)
     839
     840                # Unnesting a nested array (i.e array of structs) explodes the top-level struct fields,
     841                # in contrast to other dialects such as DuckDB which flattens only the array by default
     842                if unnest_expr.is_type(exp.DataType.Type.ARRAY) and any(
     843                    array_elem.is_type(exp.DataType.Type.STRUCT)
     844                    for array_elem in unnest_expr._type.expressions
     845                ):
     846                    unnest.set("explode_array", True)
     847
     848            return unnest
     849
     850        def _parse_make_interval(self) -> exp.MakeInterval:
     851            expr = exp.MakeInterval()
     852
     853            for arg_key in expr.arg_types:
     854                value = self._parse_lambda()
     855
     856                if not value:
     857                    break
     858
     859                # Non-named arguments are filled sequentially, (optionally) followed by named arguments
     860                # that can appear in any order e.g MAKE_INTERVAL(1, minute => 5, day => 2)
     861                if isinstance(value, exp.Kwarg):
     862                    arg_key = value.this.name
     863
     864                expr.set(arg_key, value)
     865
     866                self._match(TokenType.COMMA)
     867
     868            return expr
     869
     870        def _parse_features_at_time(self) -> exp.FeaturesAtTime:
     871            expr = self.expression(
     872                exp.FeaturesAtTime,
     873                this=(self._match(TokenType.TABLE) and self._parse_table())
     874                or self._parse_select(nested=True),
     875            )
     876
     877            while self._match(TokenType.COMMA):
     878                arg = self._parse_lambda()
     879
     880                # Get the LHS of the Kwarg and set the arg to that value, e.g
     881                # "num_rows => 1" sets the expr's `num_rows` arg
     882                if arg:
     883                    expr.set(arg.this.name, arg)
     884
     885            return expr
     886
     887        def _parse_export_data(self) -> exp.Export:
     888            self._match_text_seq("DATA")
     889
     890            return self.expression(
     891                exp.Export,
     892                connection=self._match_text_seq("WITH", "CONNECTION") and self._parse_table_parts(),
     893                options=self._parse_properties(),
     894                this=self._match_text_seq("AS") and self._parse_select(),
     895            )
     896
     897    class Generator(generator.Generator):
     898        INTERVAL_ALLOWS_PLURAL_FORM = False
     899        JOIN_HINTS = False
     900        QUERY_HINTS = False
     901        TABLE_HINTS = False
     902        LIMIT_FETCH = "LIMIT"
     903        RENAME_TABLE_WITH_DB = False
     904        NVL2_SUPPORTED = False
     905        UNNEST_WITH_ORDINALITY = False
     906        COLLATE_IS_FUNC = True
     907        LIMIT_ONLY_LITERALS = True
     908        SUPPORTS_TABLE_ALIAS_COLUMNS = False
     909        UNPIVOT_ALIASES_ARE_IDENTIFIERS = False
     910        JSON_KEY_VALUE_PAIR_SEP = ","
     911        NULL_ORDERING_SUPPORTED = False
     912        IGNORE_NULLS_IN_FUNC = True
     913        JSON_PATH_SINGLE_QUOTE_ESCAPE = True
     914        CAN_IMPLEMENT_ARRAY_ANY = True
     915        SUPPORTS_TO_NUMBER = False
     916        NAMED_PLACEHOLDER_TOKEN = "@"
     917        HEX_FUNC = "TO_HEX"
     918        WITH_PROPERTIES_PREFIX = "OPTIONS"
     919        SUPPORTS_EXPLODING_PROJECTIONS = False
     920        EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE = False
     921        SUPPORTS_UNIX_SECONDS = True
     922
     923        TRANSFORMS = {
     924            **generator.Generator.TRANSFORMS,
     925            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
     926            exp.ArgMax: arg_max_or_min_no_count("MAX_BY"),
     927            exp.ArgMin: arg_max_or_min_no_count("MIN_BY"),
     928            exp.Array: inline_array_unless_query,
     929            exp.ArrayContains: _array_contains_sql,
     930            exp.ArrayFilter: filter_array_using_unnest,
     931            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
     932            exp.CollateProperty: lambda self, e: (
     933                f"DEFAULT COLLATE {self.sql(e, 'this')}"
     934                if e.args.get("default")
     935                else f"COLLATE {self.sql(e, 'this')}"
     936            ),
     937            exp.Commit: lambda *_: "COMMIT TRANSACTION",
     938            exp.CountIf: rename_func("COUNTIF"),
     939            exp.Create: _create_sql,
     940            exp.CTE: transforms.preprocess([_pushdown_cte_column_names]),
     941            exp.DateAdd: date_add_interval_sql("DATE", "ADD"),
     942            exp.DateDiff: lambda self, e: self.func(
     943                "DATE_DIFF", e.this, e.expression, unit_to_var(e)
     944            ),
     945            exp.DateFromParts: rename_func("DATE"),
     946            exp.DateStrToDate: datestrtodate_sql,
     947            exp.DateSub: date_add_interval_sql("DATE", "SUB"),
     948            exp.DatetimeAdd: date_add_interval_sql("DATETIME", "ADD"),
     949            exp.DatetimeSub: date_add_interval_sql("DATETIME", "SUB"),
     950            exp.DateTrunc: lambda self, e: self.func(
     951                "DATE_TRUNC", e.this, e.text("unit"), e.args.get("zone")
     952            ),
     953            exp.FromTimeZone: lambda self, e: self.func(
     954                "DATETIME", self.func("TIMESTAMP", e.this, e.args.get("zone")), "'UTC'"
     955            ),
     956            exp.GenerateSeries: rename_func("GENERATE_ARRAY"),
     957            exp.GroupConcat: lambda self, e: groupconcat_sql(
     958                self, e, func_name="STRING_AGG", within_group=False
     959            ),
     960            exp.Hex: lambda self, e: self.func("UPPER", self.func("TO_HEX", self.sql(e, "this"))),
     961            exp.HexString: lambda self, e: self.hexstring_sql(e, binary_function_repr="FROM_HEX"),
     962            exp.If: if_sql(false_value="NULL"),
     963            exp.ILike: no_ilike_sql,
     964            exp.IntDiv: rename_func("DIV"),
     965            exp.Int64: rename_func("INT64"),
     966            exp.JSONExtract: _json_extract_sql,
     967            exp.JSONExtractArray: _json_extract_sql,
     968            exp.JSONExtractScalar: _json_extract_sql,
     969            exp.JSONFormat: rename_func("TO_JSON_STRING"),
     970            exp.Levenshtein: _levenshtein_sql,
     971            exp.Max: max_or_greatest,
     972            exp.MD5: lambda self, e: self.func("TO_HEX", self.func("MD5", e.this)),
     973            exp.MD5Digest: rename_func("MD5"),
     974            exp.Min: min_or_least,
     975            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
     976            exp.RegexpExtract: lambda self, e: self.func(
     977                "REGEXP_EXTRACT",
     978                e.this,
     979                e.expression,
     980                e.args.get("position"),
     981                e.args.get("occurrence"),
     982            ),
     983            exp.RegexpExtractAll: lambda self, e: self.func(
     984                "REGEXP_EXTRACT_ALL", e.this, e.expression
     985            ),
     986            exp.RegexpReplace: regexp_replace_sql,
     987            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
     988            exp.ReturnsProperty: _returnsproperty_sql,
     989            exp.Rollback: lambda *_: "ROLLBACK TRANSACTION",
     990            exp.Select: transforms.preprocess(
     991                [
     992                    transforms.explode_projection_to_unnest(),
     993                    transforms.unqualify_unnest,
     994                    transforms.eliminate_distinct_on,
     995                    _alias_ordered_group,
     996                    transforms.eliminate_semi_and_anti_joins,
     997                ]
     998            ),
     999            exp.SHA: rename_func("SHA1"),
    1000            exp.SHA2: sha256_sql,
    1001            exp.StabilityProperty: lambda self, e: (
    1002                "DETERMINISTIC" if e.name == "IMMUTABLE" else "NOT DETERMINISTIC"
    1003            ),
    1004            exp.String: rename_func("STRING"),
    1005            exp.StrPosition: lambda self, e: (
    1006                strposition_sql(
    1007                    self, e, func_name="INSTR", supports_position=True, supports_occurrence=True
    1008                )
    1009            ),
    1010            exp.StrToDate: _str_to_datetime_sql,
    1011            exp.StrToTime: _str_to_datetime_sql,
    1012            exp.TimeAdd: date_add_interval_sql("TIME", "ADD"),
    1013            exp.TimeFromParts: rename_func("TIME"),
    1014            exp.TimestampFromParts: rename_func("DATETIME"),
    1015            exp.TimeSub: date_add_interval_sql("TIME", "SUB"),
    1016            exp.TimestampAdd: date_add_interval_sql("TIMESTAMP", "ADD"),
    1017            exp.TimestampDiff: rename_func("TIMESTAMP_DIFF"),
    1018            exp.TimestampSub: date_add_interval_sql("TIMESTAMP", "SUB"),
    1019            exp.TimeStrToTime: timestrtotime_sql,
    1020            exp.Transaction: lambda *_: "BEGIN TRANSACTION",
    1021            exp.TsOrDsAdd: _ts_or_ds_add_sql,
    1022            exp.TsOrDsDiff: _ts_or_ds_diff_sql,
    1023            exp.TsOrDsToTime: rename_func("TIME"),
    1024            exp.TsOrDsToDatetime: rename_func("DATETIME"),
    1025            exp.TsOrDsToTimestamp: rename_func("TIMESTAMP"),
    1026            exp.Unhex: rename_func("FROM_HEX"),
    1027            exp.UnixDate: rename_func("UNIX_DATE"),
    1028            exp.UnixToTime: _unix_to_time_sql,
    1029            exp.Uuid: lambda *_: "GENERATE_UUID()",
    1030            exp.Values: _derived_table_values_to_unnest,
    1031            exp.VariancePop: rename_func("VAR_POP"),
    1032            exp.SafeDivide: rename_func("SAFE_DIVIDE"),
    1033        }
    1034
    1035        SUPPORTED_JSON_PATH_PARTS = {
    1036            exp.JSONPathKey,
    1037            exp.JSONPathRoot,
    1038            exp.JSONPathSubscript,
    1039        }
    1040
    1041        TYPE_MAPPING = {
    1042            **generator.Generator.TYPE_MAPPING,
    1043            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
    1044            exp.DataType.Type.BIGINT: "INT64",
    1045            exp.DataType.Type.BINARY: "BYTES",
    1046            exp.DataType.Type.BLOB: "BYTES",
    1047            exp.DataType.Type.BOOLEAN: "BOOL",
    1048            exp.DataType.Type.CHAR: "STRING",
    1049            exp.DataType.Type.DECIMAL: "NUMERIC",
    1050            exp.DataType.Type.DOUBLE: "FLOAT64",
    1051            exp.DataType.Type.FLOAT: "FLOAT64",
    1052            exp.DataType.Type.INT: "INT64",
    1053            exp.DataType.Type.NCHAR: "STRING",
    1054            exp.DataType.Type.NVARCHAR: "STRING",
    1055            exp.DataType.Type.SMALLINT: "INT64",
    1056            exp.DataType.Type.TEXT: "STRING",
    1057            exp.DataType.Type.TIMESTAMP: "DATETIME",
    1058            exp.DataType.Type.TIMESTAMPNTZ: "DATETIME",
    1059            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
    1060            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
    1061            exp.DataType.Type.TINYINT: "INT64",
    1062            exp.DataType.Type.ROWVERSION: "BYTES",
    1063            exp.DataType.Type.UUID: "STRING",
    1064            exp.DataType.Type.VARBINARY: "BYTES",
    1065            exp.DataType.Type.VARCHAR: "STRING",
    1066            exp.DataType.Type.VARIANT: "ANY TYPE",
    1067        }
    1068
    1069        PROPERTIES_LOCATION = {
    1070            **generator.Generator.PROPERTIES_LOCATION,
    1071            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
    1072            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
    1073        }
    1074
    1075        # WINDOW comes after QUALIFY
    1076        # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#window_clause
    1077        AFTER_HAVING_MODIFIER_TRANSFORMS = {
    1078            "qualify": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["qualify"],
    1079            "windows": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["windows"],
    1080        }
    1081
    1082        # from: https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#reserved_keywords
    1083        RESERVED_KEYWORDS = {
    1084            "all",
    1085            "and",
    1086            "any",
    1087            "array",
    1088            "as",
    1089            "asc",
    1090            "assert_rows_modified",
    1091            "at",
    1092            "between",
    1093            "by",
    1094            "case",
    1095            "cast",
    1096            "collate",
    1097            "contains",
    1098            "create",
    1099            "cross",
    1100            "cube",
    1101            "current",
    1102            "default",
    1103            "define",
    1104            "desc",
    1105            "distinct",
    1106            "else",
    1107            "end",
    1108            "enum",
    1109            "escape",
    1110            "except",
    1111            "exclude",
    1112            "exists",
    1113            "extract",
    1114            "false",
    1115            "fetch",
    1116            "following",
    1117            "for",
    1118            "from",
    1119            "full",
    1120            "group",
    1121            "grouping",
    1122            "groups",
    1123            "hash",
    1124            "having",
    1125            "if",
    1126            "ignore",
    1127            "in",
    1128            "inner",
    1129            "intersect",
    1130            "interval",
    1131            "into",
    1132            "is",
    1133            "join",
    1134            "lateral",
    1135            "left",
    1136            "like",
    1137            "limit",
    1138            "lookup",
    1139            "merge",
    1140            "natural",
    1141            "new",
    1142            "no",
    1143            "not",
    1144            "null",
    1145            "nulls",
    1146            "of",
    1147            "on",
    1148            "or",
    1149            "order",
    1150            "outer",
    1151            "over",
    1152            "partition",
    1153            "preceding",
    1154            "proto",
    1155            "qualify",
    1156            "range",
    1157            "recursive",
    1158            "respect",
    1159            "right",
    1160            "rollup",
    1161            "rows",
    1162            "select",
    1163            "set",
    1164            "some",
    1165            "struct",
    1166            "tablesample",
    1167            "then",
    1168            "to",
    1169            "treat",
    1170            "true",
    1171            "unbounded",
    1172            "union",
    1173            "unnest",
    1174            "using",
    1175            "when",
    1176            "where",
    1177            "window",
    1178            "with",
    1179            "within",
    1180        }
    1181
    1182        def mod_sql(self, expression: exp.Mod) -> str:
    1183            this = expression.this
    1184            expr = expression.expression
    1185            return self.func(
    1186                "MOD",
    1187                this.unnest() if isinstance(this, exp.Paren) else this,
    1188                expr.unnest() if isinstance(expr, exp.Paren) else expr,
    1189            )
    1190
    1191        def column_parts(self, expression: exp.Column) -> str:
    1192            if expression.meta.get("quoted_column"):
    1193                # If a column reference is of the form `dataset.table`.name, we need
    1194                # to preserve the quoted table path, otherwise the reference breaks
    1195                table_parts = ".".join(p.name for p in expression.parts[:-1])
    1196                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
    1197                return f"{table_path}.{self.sql(expression, 'this')}"
    1198
    1199            return super().column_parts(expression)
    1200
    1201        def table_parts(self, expression: exp.Table) -> str:
    1202            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
    1203            # we need to make sure the correct quoting is used in each case.
    1204            #
    1205            # For example, if there is a CTE x that clashes with a schema name, then the former will
    1206            # return the table y in that schema, whereas the latter will return the CTE's y column:
    1207            #
    1208            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
    1209            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
    1210            if expression.meta.get("quoted_table"):
    1211                table_parts = ".".join(p.name for p in expression.parts)
    1212                return self.sql(exp.Identifier(this=table_parts, quoted=True))
    1213
    1214            return super().table_parts(expression)
    1215
    1216        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
    1217            this = expression.this
    1218            if isinstance(this, exp.TsOrDsToDatetime):
    1219                func_name = "FORMAT_DATETIME"
    1220            elif isinstance(this, exp.TsOrDsToTimestamp):
    1221                func_name = "FORMAT_TIMESTAMP"
    1222            else:
    1223                func_name = "FORMAT_DATE"
    1224
    1225            time_expr = (
    1226                this
    1227                if isinstance(this, (exp.TsOrDsToDatetime, exp.TsOrDsToTimestamp, exp.TsOrDsToDate))
    1228                else expression
    1229            )
    1230            return self.func(
    1231                func_name, self.format_time(expression), time_expr.this, expression.args.get("zone")
    1232            )
    1233
    1234        def eq_sql(self, expression: exp.EQ) -> str:
    1235            # Operands of = cannot be NULL in BigQuery
    1236            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
    1237                if not isinstance(expression.parent, exp.Update):
    1238                    return "NULL"
    1239
    1240            return self.binary(expression, "=")
    1241
    1242        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
    1243            parent = expression.parent
    1244
    1245            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
    1246            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
    1247            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
    1248                return self.func(
    1249                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
    1250                )
    1251
    1252            return super().attimezone_sql(expression)
    1253
    1254        def trycast_sql(self, expression: exp.TryCast) -> str:
    1255            return self.cast_sql(expression, safe_prefix="SAFE_")
    1256
    1257        def bracket_sql(self, expression: exp.Bracket) -> str:
    1258            this = expression.this
    1259            expressions = expression.expressions
    1260
    1261            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
    1262                arg = expressions[0]
    1263                if arg.type is None:
    1264                    from sqlglot.optimizer.annotate_types import annotate_types
    1265
    1266                    arg = annotate_types(arg, dialect=self.dialect)
    1267
    1268                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
    1269                    # BQ doesn't support bracket syntax with string values for structs
    1270                    return f"{self.sql(this)}.{arg.name}"
    1271
    1272            expressions_sql = self.expressions(expression, flat=True)
    1273            offset = expression.args.get("offset")
    1274
    1275            if offset == 0:
    1276                expressions_sql = f"OFFSET({expressions_sql})"
    1277            elif offset == 1:
    1278                expressions_sql = f"ORDINAL({expressions_sql})"
    1279            elif offset is not None:
    1280                self.unsupported(f"Unsupported array offset: {offset}")
    1281
    1282            if expression.args.get("safe"):
    1283                expressions_sql = f"SAFE_{expressions_sql}"
    1284
    1285            return f"{self.sql(this)}[{expressions_sql}]"
    1286
    1287        def in_unnest_op(self, expression: exp.Unnest) -> str:
    1288            return self.sql(expression)
    1289
    1290        def version_sql(self, expression: exp.Version) -> str:
    1291            if expression.name == "TIMESTAMP":
    1292                expression.set("this", "SYSTEM_TIME")
    1293            return super().version_sql(expression)
    1294
    1295        def contains_sql(self, expression: exp.Contains) -> str:
    1296            this = expression.this
    1297            expr = expression.expression
    1298
    1299            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
    1300                this = this.this
    1301                expr = expr.this
    1302
    1303            return self.func("CONTAINS_SUBSTR", this, expr)
    1304
    1305        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
    1306            this = expression.this
    1307
    1308            # This ensures that inline type-annotated ARRAY literals like ARRAY<INT64>[1, 2, 3]
    1309            # are roundtripped unaffected. The inner check excludes ARRAY(SELECT ...) expressions,
    1310            # because they aren't literals and so the above syntax is invalid BigQuery.
    1311            if isinstance(this, exp.Array):
    1312                elem = seq_get(this.expressions, 0)
    1313                if not (elem and elem.find(exp.Query)):
    1314                    return f"{self.sql(expression, 'to')}{self.sql(this)}"
    1315
    1316            return super().cast_sql(expression, safe_prefix=safe_prefix)

WEEK_OFFSET = -1

First day of the week in DATE_TRUNC(week). Defaults to 0 (Monday). -1 would be Sunday.

UNNEST_COLUMN_ONLY = True

Whether `UNNEST` table aliases are treated as column aliases.

SUPPORTS_USER_DEFINED_TYPES = False

Whether user-defined data types are supported.

SUPPORTS_SEMI_ANTI_JOIN = False

Whether `SEMI` or `ANTI` joins are supported.

LOG_BASE_FIRST: Optional[bool] = False

Whether the base comes first in the `LOG` function. Possible values: `True`, `False`, `None` (two arguments are not supported by `LOG`)

HEX_LOWERCASE = True

Whether the `HEX` function returns a lowercase hexadecimal string.

FORCE_EARLY_ALIAS_REF_EXPANSION = True

Whether alias reference expansion (_expand_alias_refs()) should run before column qualification (_qualify_columns()).

###### For example:

> WITH data AS ( SELECT 1 AS id, 2 AS my_id ) SELECT id AS my_id FROM data WHERE my_id = 1 GROUP BY my_id, HAVING my_id = 1

In most dialects, "my_id" would refer to "data.my_id" across the query, except: - BigQuery, which will forward the alias to GROUP BY + HAVING clauses i.e it resolves to "WHERE my_id = 1 GROUP BY id HAVING id = 1" - Clickhouse, which will forward the alias across the query i.e it resolves to "WHERE id = 1 GROUP BY id HAVING id = 1"

PRESERVE_ORIGINAL_NAMES: bool = True

Whether the name of the function should be preserved inside the node's metadata, can be useful for roundtripping deprecated vs new functions that share an AST node e.g JSON_VALUE vs JSON_EXTRACT_SCALAR in BigQuery

HEX_STRING_IS_INTEGER_TYPE: bool = True

Whether hex strings such as x'CC' evaluate to integer or binary/blob type

NORMALIZATION_STRATEGY = <NormalizationStrategy.CASE_INSENSITIVE: 'CASE_INSENSITIVE'>

Specifies the strategy according to which identifiers should be normalized.

NORMALIZE_FUNCTIONS: bool | str = False

Determines how function names are going to be normalized.

###### Possible values:

> "upper" or True: Convert names to uppercase. "lower": Convert names to lowercase. False: Disables function name normalization.

TIME_MAPPING: Dict[str, str] = {'%D': '%m/%d/%y', '%E6S': '%S.%f', '%e': '%-d'}

Associates this dialect's time formats with their equivalent Python `strftime` formats.

FORMAT_MAPPING: Dict[str, str] = {'DD': '%d', 'MM': '%m', 'MON': '%b', 'MONTH': '%B', 'YYYY': '%Y', 'YY': '%y', 'HH': '%I', 'HH12': '%I', 'HH24': '%H', 'MI': '%M', 'SS': '%S', 'SSSSS': '%f', 'TZH': '%z'}

Helper which is used for parsing the special syntax `CAST(x AS DATE FORMAT 'yyyy')`. If empty, the corresponding trie will be constructed off of `TIME_MAPPING`.

PSEUDOCOLUMNS: Set[str] = {'_PARTITIONTIME', '_PARTITIONDATE'}

Columns that are auto-generated by the engine corresponding to this dialect. For example, such columns may be excluded from `SELECT *` queries.

SET_OP_DISTINCT_BY_DEFAULT: Dict[Type[sqlglot.expressions.Expression], Optional[bool]] = {<class 'sqlglot.expressions.Except'>: None, <class 'sqlglot.expressions.Intersect'>: None, <class 'sqlglot.expressions.Union'>: None}

Whether a set operation uses DISTINCT by default. This is `None` when either `DISTINCT` or `ALL` must be explicitly specified.

TYPE_TO_EXPRESSIONS: Dict[sqlglot.expressions.DataType.Type, Set[Type[sqlglot.expressions.Expression]]] = {<Type.BIGINT: 'BIGINT'>: {<class 'sqlglot.expressions.ArraySize'>, <class 'sqlglot.expressions.ApproxDistinct'>, <class 'sqlglot.expressions.Length'>}, <Type.BOOLEAN: 'BOOLEAN'>: {<class 'sqlglot.expressions.Boolean'>, <class 'sqlglot.expressions.RegexpLike'>, <class 'sqlglot.expressions.Between'>, <class 'sqlglot.expressions.In'>}, <Type.DATE: 'DATE'>: {<class 'sqlglot.expressions.DateStrToDate'>, <class 'sqlglot.expressions.StrToDate'>, <class 'sqlglot.expressions.TimeStrToDate'>, <class 'sqlglot.expressions.DateFromParts'>, <class 'sqlglot.expressions.TsOrDsToDate'>, <class 'sqlglot.expressions.DiToDate'>, <class 'sqlglot.expressions.CurrentDate'>, <class 'sqlglot.expressions.Date'>}, <Type.DATETIME: 'DATETIME'>: {<class 'sqlglot.expressions.DatetimeSub'>, <class 'sqlglot.expressions.DatetimeAdd'>, <class 'sqlglot.expressions.Datetime'>, <class 'sqlglot.expressions.CurrentDatetime'>}, <Type.DOUBLE: 'DOUBLE'>: {<class 'sqlglot.expressions.Avg'>, <class 'sqlglot.expressions.Sqrt'>, <class 'sqlglot.expressions.Pow'>, <class 'sqlglot.expressions.StddevSamp'>, <class 'sqlglot.expressions.ApproxQuantile'>, <class 'sqlglot.expressions.SafeDivide'>, <class 'sqlglot.expressions.Quantile'>, <class 'sqlglot.expressions.Round'>, <class 'sqlglot.expressions.Exp'>, <class 'sqlglot.expressions.Log'>, <class 'sqlglot.expressions.ToDouble'>, <class 'sqlglot.expressions.Ln'>, <class 'sqlglot.expressions.StddevPop'>, <class 'sqlglot.expressions.VariancePop'>, <class 'sqlglot.expressions.Stddev'>, <class 'sqlglot.expressions.Variance'>}, <Type.INT: 'INT'>: {<class 'sqlglot.expressions.DatetimeDiff'>, <class 'sqlglot.expressions.TimestampDiff'>, <class 'sqlglot.expressions.Sign'>, <class 'sqlglot.expressions.TsOrDiToDi'>, <class 'sqlglot.expressions.StrPosition'>, <class 'sqlglot.expressions.DateDiff'>, <class 'sqlglot.expressions.TimeDiff'>, <class 'sqlglot.expressions.Levenshtein'>, <class 'sqlglot.expressions.Ceil'>, <class 'sqlglot.expressions.DateToDi'>}, <Type.JSON: 'JSON'>: {<class 'sqlglot.expressions.ParseJSON'>}, <Type.TIME: 'TIME'>: {<class 'sqlglot.expressions.CurrentTime'>, <class 'sqlglot.expressions.TimeSub'>, <class 'sqlglot.expressions.Time'>, <class 'sqlglot.expressions.TimeAdd'>}, <Type.TINYINT: 'TINYINT'>: {<class 'sqlglot.expressions.Quarter'>, <class 'sqlglot.expressions.Month'>, <class 'sqlglot.expressions.Week'>, <class 'sqlglot.expressions.Day'>, <class 'sqlglot.expressions.Year'>}, <Type.VARCHAR: 'VARCHAR'>: {<class 'sqlglot.expressions.Trim'>, <class 'sqlglot.expressions.ConcatWs'>, <class 'sqlglot.expressions.DateToDateStr'>, <class 'sqlglot.expressions.Concat'>, <class 'sqlglot.expressions.Lower'>, <class 'sqlglot.expressions.TimeToStr'>, <class 'sqlglot.expressions.Upper'>, <class 'sqlglot.expressions.GroupConcat'>, <class 'sqlglot.expressions.ArrayConcat'>, <class 'sqlglot.expressions.UnixToTimeStr'>, <class 'sqlglot.expressions.Initcap'>, <class 'sqlglot.expressions.UnixToStr'>, <class 'sqlglot.expressions.TimeToTimeStr'>, <class 'sqlglot.expressions.TsOrDsToDateStr'>, <class 'sqlglot.expressions.Substring'>, <class 'sqlglot.expressions.String'>}, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>: {<class 'sqlglot.expressions.StrToTime'>, <class 'sqlglot.expressions.TimestampSub'>, <class 'sqlglot.expressions.TimestampAdd'>, <class 'sqlglot.expressions.TimeStrToTime'>, <class 'sqlglot.expressions.CurrentTimestamp'>, <class 'sqlglot.expressions.UnixToTime'>}}
ANNOTATORS: Dict[Type[~E], Callable[[sqlglot.optimizer.annotate_types.TypeAnnotator, ~E], ~E]] = {<class 'sqlglot.expressions.Alias'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseNot'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Neg'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Not'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Paren'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.PivotAlias'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Unary'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Add'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.And'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ArrayContains'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ArrayContainsAll'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ArrayOverlaps'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Binary'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseAnd'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseLeftShift'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseOr'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseRightShift'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.BitwiseXor'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Collate'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Connector'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Corr'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.CovarPop'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.CovarSamp'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.DPipe'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Distance'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Div'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Dot'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.EQ'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Escape'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.GT'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.GTE'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Glob'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ILike'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ILikeAny'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.IntDiv'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Is'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONArrayContains'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONBContains'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONBExtract'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONBExtractScalar'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONExtract'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONExtractScalar'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Kwarg'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.LT'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.LTE'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Like'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.LikeAny'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Mod'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Mul'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.NEQ'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.NullSafeEQ'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.NullSafeNEQ'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Operator'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Or'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Overlaps'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Pow'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.PropertyEQ'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.RegexpILike'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.RegexpLike'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.SimilarTo'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Slice'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Sub'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Xor'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ArraySize'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ApproxDistinct'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Length'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Boolean'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Between'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.In'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateStrToDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrToDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateFromParts'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DiToDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Date'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeSub'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeAdd'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Datetime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDatetime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Avg'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Sqrt'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.StddevSamp'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ApproxQuantile'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.SafeDivide'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Quantile'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Round'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Exp'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Log'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ToDouble'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ln'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.StddevPop'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.VariancePop'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Stddev'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Variance'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeDiff'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampDiff'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Sign'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.TsOrDiToDi'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrPosition'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateDiff'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeDiff'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Levenshtein'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ceil'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.DateToDi'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ParseJSON'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeSub'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Time'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeAdd'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrToTime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampSub'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampAdd'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToTime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTimestamp'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Quarter'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Month'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Week'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Day'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Year'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Trim'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ConcatWs'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateToDateStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Concat'>: <function _annotate_concat>, <class 'sqlglot.expressions.Lower'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.TimeToStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Upper'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.GroupConcat'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ArrayConcat'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTimeStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Initcap'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeToTimeStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDateStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Substring'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.String'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Abs'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Anonymous'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Array'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.ArrayAgg'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Bracket'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Cast'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Case'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Coalesce'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Count'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.DataType'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.DateAdd'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.DateSub'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.DateTrunc'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Distinct'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Explode'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Extract'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Filter'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.GenerateDateArray'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.GenerateTimestampArray'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Greatest'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.If'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Interval'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Least'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Literal'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Map'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Max'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Min'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Null'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Nullif'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Struct'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Sum'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Timestamp'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.ToMap'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.TryCast'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Unnest'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.VarMap'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Floor'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Left'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Right'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Pad'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.RegexpExtract'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.RegexpReplace'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Repeat'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Split'>: <function BigQuery.<lambda>>}
def normalize_identifier(self, expression: ~E) -> ~E: View Source

    453    def normalize_identifier(self, expression: E) -> E:
    454        if (
    455            isinstance(expression, exp.Identifier)
    456            and self.normalization_strategy is NormalizationStrategy.CASE_INSENSITIVE
    457        ):
    458            parent = expression.parent
    459            while isinstance(parent, exp.Dot):
    460                parent = parent.parent
    461
    462            # In BigQuery, CTEs are case-insensitive, but UDF and table names are case-sensitive
    463            # by default. The following check uses a heuristic to detect tables based on whether
    464            # they are qualified. This should generally be correct, because tables in BigQuery
    465            # must be qualified with at least a dataset, unless @@dataset_id is set.
    466            case_sensitive = (
    467                isinstance(parent, exp.UserDefinedFunction)
    468                or (
    469                    isinstance(parent, exp.Table)
    470                    and parent.db
    471                    and (parent.meta.get("quoted_table") or not parent.meta.get("maybe_column"))
    472                )
    473                or expression.meta.get("is_table")
    474            )
    475            if not case_sensitive:
    476                expression.set("this", expression.this.lower())
    477
    478            return t.cast(E, expression)
    479
    480        return super().normalize_identifier(expression)

Transforms an identifier in a way that resembles how it'd be resolved by this dialect.

For example, an identifier like `FoO` would be resolved as `foo` in Postgres, because it lowercases all unquoted identifiers. On the other hand, Snowflake uppercases them, so it would resolve it as `FOO`. If it was quoted, it'd need to be treated as case-sensitive, and so any normalization would be prohibited in order to avoid "breaking" the identifier.

There are also dialects like Spark, which are case-insensitive even when quotes are present, and dialects like MySQL, whose resolution rules match those employed by the underlying operating system, for example they may always be case-sensitive in Linux.

Finally, the normalization behavior of some engines can even be controlled through flags, like in Redshift's case, where users can explicitly set enable_case_sensitive_identifier.

SQLGlot aims to understand and handle all of these different behaviors gracefully, so that it can analyze queries in the optimizer and successfully capture their semantics.

SUPPORTS_COLUMN_JOIN_MARKS = False

Whether the old-style outer join (+) syntax is supported.

UNESCAPED_SEQUENCES: Dict[str, str] = {'\\a': '\x07', '\\b': '\x08', '\\f': '\x0c', '\\n': '\n', '\\r': '\r', '\\t': '\t', '\\v': '\x0b', '\\\\': '\\'}

Mapping of an escaped sequence (`\n`) to its unescaped version (`` ).

tokenizer_class = <class 'BigQuery.Tokenizer'>
jsonpath_tokenizer_class = <class 'sqlglot.tokens.JSONPathTokenizer'>
parser_class = <class 'BigQuery.Parser'>
generator_class = <class 'BigQuery.Generator'>
TIME_TRIE: Dict = {'%': {'D': {0: True}, 'E': {'6': {'S': {0: True}}}, 'e': {0: True}}}
FORMAT_TRIE: Dict = {'D': {'D': {0: True}}, 'M': {'M': {0: True}, 'O': {'N': {0: True, 'T': {'H': {0: True}}}}, 'I': {0: True}}, 'Y': {'Y': {'Y': {'Y': {0: True}}, 0: True}}, 'H': {'H': {0: True, '1': {'2': {0: True}}, '2': {'4': {0: True}}}}, 'S': {'S': {0: True, 'S': {'S': {'S': {0: True}}}}}, 'T': {'Z': {'H': {0: True}}}}
INVERSE_TIME_MAPPING: Dict[str, str] = {'%m/%d/%y': '%D', '%S.%f': '%E6S', '%-d': '%e'}
INVERSE_TIME_TRIE: Dict = {'%': {'m': {'/': {'%': {'d': {'/': {'%': {'y': {0: True}}}}}}}, 'S': {'.': {'%': {'f': {0: True}}}}, '-': {'d': {0: True}}}}
INVERSE_FORMAT_MAPPING: Dict[str, str] = {'%d': 'DD', '%m': 'MM', '%b': 'MON', '%B': 'MONTH', '%Y': 'YYYY', '%y': 'YY', '%I': 'HH12', '%H': 'HH24', '%M': 'MI', '%S': 'SS', '%f': 'SSSSS', '%z': 'TZH'}
INVERSE_FORMAT_TRIE: Dict = {'%': {'d': {0: True}, 'm': {0: True}, 'b': {0: True}, 'B': {0: True}, 'Y': {0: True}, 'y': {0: True}, 'I': {0: True}, 'H': {0: True}, 'M': {0: True}, 'S': {0: True}, 'f': {0: True}, 'z': {0: True}}}
INVERSE_CREATABLE_KIND_MAPPING: dict[str, str] = {}
ESCAPED_SEQUENCES: Dict[str, str] = {'\x07': '\\a', '\x08': '\\b', '\x0c': '\\f', '\n': '\\n', '\r': '\\r', '\t': '\\t', '\x0b': '\\v', '\\': '\\\\'}
QUOTE_START = "'"
QUOTE_END = "'"
IDENTIFIER_START = '`'
IDENTIFIER_END = '`'
BIT_START: Optional[str] = None
BIT_END: Optional[str] = None
HEX_START: Optional[str] = '0x'
HEX_END: Optional[str] = ''
BYTE_START: Optional[str] = "b'"
BYTE_END: Optional[str] = "'"
UNICODE_START: Optional[str] = None
UNICODE_END: Optional[str] = None
class BigQuery.Tokenizer(sqlglot.tokens.Tokenizer): View Source

    482    class Tokenizer(tokens.Tokenizer):
    483        QUOTES = ["'", '"', '"""', "'''"]
    484        COMMENTS = ["--", "#", ("/*", "*/")]
    485        IDENTIFIERS = ["`"]
    486        STRING_ESCAPES = ["\\"]
    487
    488        HEX_STRINGS = [("0x", ""), ("0X", "")]
    489
    490        BYTE_STRINGS = [
    491            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
    492        ]
    493
    494        RAW_STRINGS = [
    495            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
    496        ]
    497
    498        KEYWORDS = {
    499            **tokens.Tokenizer.KEYWORDS,
    500            "ANY TYPE": TokenType.VARIANT,
    501            "BEGIN": TokenType.COMMAND,
    502            "BEGIN TRANSACTION": TokenType.BEGIN,
    503            "BYTEINT": TokenType.INT,
    504            "BYTES": TokenType.BINARY,
    505            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
    506            "DATETIME": TokenType.TIMESTAMP,
    507            "DECLARE": TokenType.COMMAND,
    508            "ELSEIF": TokenType.COMMAND,
    509            "EXCEPTION": TokenType.COMMAND,
    510            "EXPORT": TokenType.EXPORT,
    511            "FLOAT64": TokenType.DOUBLE,
    512            "FOR SYSTEM_TIME": TokenType.TIMESTAMP_SNAPSHOT,
    513            "MODEL": TokenType.MODEL,
    514            "NOT DETERMINISTIC": TokenType.VOLATILE,
    515            "RECORD": TokenType.STRUCT,
    516            "TIMESTAMP": TokenType.TIMESTAMPTZ,
    517        }
    518        KEYWORDS.pop("DIV")
    519        KEYWORDS.pop("VALUES")
    520        KEYWORDS.pop("/*+")

QUOTES = ["'", '"', '"""', "'''"]
COMMENTS = ['--', '#', ('/*', '*/')]
IDENTIFIERS = ['`']
STRING_ESCAPES = ['\\']
HEX_STRINGS = [('0x', ''), ('0X', '')]
BYTE_STRINGS = [("b'", "'"), ("B'", "'"), ('b"', '"'), ('B"', '"'), ('b"""', '"""'), ('B"""', '"""'), ("b'''", "'''"), ("B'''", "'''")]
RAW_STRINGS = [("r'", "'"), ("R'", "'"), ('r"', '"'), ('R"', '"'), ('r"""', '"""'), ('R"""', '"""'), ("r'''", "'''"), ("R'''", "'''")]
KEYWORDS = {'{%': <TokenType.BLOCK_START: 'BLOCK_START'>, '{%+': <TokenType.BLOCK_START: 'BLOCK_START'>, '{%-': <TokenType.BLOCK_START: 'BLOCK_START'>, '%}': <TokenType.BLOCK_END: 'BLOCK_END'>, '+%}': <TokenType.BLOCK_END: 'BLOCK_END'>, '-%}': <TokenType.BLOCK_END: 'BLOCK_END'>, '{{+': <TokenType.BLOCK_START: 'BLOCK_START'>, '{{-': <TokenType.BLOCK_START: 'BLOCK_START'>, '+}}': <TokenType.BLOCK_END: 'BLOCK_END'>, '-}}': <TokenType.BLOCK_END: 'BLOCK_END'>, '==': <TokenType.EQ: 'EQ'>, '::': <TokenType.DCOLON: 'DCOLON'>, '||': <TokenType.DPIPE: 'DPIPE'>, '>=': <TokenType.GTE: 'GTE'>, '<=': <TokenType.LTE: 'LTE'>, '<>': <TokenType.NEQ: 'NEQ'>, '!=': <TokenType.NEQ: 'NEQ'>, ':=': <TokenType.COLON_EQ: 'COLON_EQ'>, '<=>': <TokenType.NULLSAFE_EQ: 'NULLSAFE_EQ'>, '->': <TokenType.ARROW: 'ARROW'>, '->>': <TokenType.DARROW: 'DARROW'>, '=>': <TokenType.FARROW: 'FARROW'>, '#>': <TokenType.HASH_ARROW: 'HASH_ARROW'>, '#>>': <TokenType.DHASH_ARROW: 'DHASH_ARROW'>, '<->': <TokenType.LR_ARROW: 'LR_ARROW'>, '&&': <TokenType.DAMP: 'DAMP'>, '??': <TokenType.DQMARK: 'DQMARK'>, '~~~': <TokenType.GLOB: 'GLOB'>, '~~': <TokenType.LIKE: 'LIKE'>, '~~*': <TokenType.ILIKE: 'ILIKE'>, '~*': <TokenType.IRLIKE: 'IRLIKE'>, 'ALL': <TokenType.ALL: 'ALL'>, 'ALWAYS': <TokenType.ALWAYS: 'ALWAYS'>, 'AND': <TokenType.AND: 'AND'>, 'ANTI': <TokenType.ANTI: 'ANTI'>, 'ANY': <TokenType.ANY: 'ANY'>, 'ASC': <TokenType.ASC: 'ASC'>, 'AS': <TokenType.ALIAS: 'ALIAS'>, 'ASOF': <TokenType.ASOF: 'ASOF'>, 'AUTOINCREMENT': <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, 'AUTO_INCREMENT': <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, 'BEGIN': <TokenType.COMMAND: 'COMMAND'>, 'BETWEEN': <TokenType.BETWEEN: 'BETWEEN'>, 'CACHE': <TokenType.CACHE: 'CACHE'>, 'UNCACHE': <TokenType.UNCACHE: 'UNCACHE'>, 'CASE': <TokenType.CASE: 'CASE'>, 'CHARACTER SET': <TokenType.CHARACTER_SET: 'CHARACTER_SET'>, 'CLUSTER BY': <TokenType.CLUSTER_BY: 'CLUSTER_BY'>, 'COLLATE': <TokenType.COLLATE: 'COLLATE'>, 'COLUMN': <TokenType.COLUMN: 'COLUMN'>, 'COMMIT': <TokenType.COMMIT: 'COMMIT'>, 'CONNECT BY': <TokenType.CONNECT_BY: 'CONNECT_BY'>, 'CONSTRAINT': <TokenType.CONSTRAINT: 'CONSTRAINT'>, 'COPY': <TokenType.COPY: 'COPY'>, 'CREATE': <TokenType.CREATE: 'CREATE'>, 'CROSS': <TokenType.CROSS: 'CROSS'>, 'CUBE': <TokenType.CUBE: 'CUBE'>, 'CURRENT_DATE': <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, 'CURRENT_SCHEMA': <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, 'CURRENT_TIME': <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, 'CURRENT_TIMESTAMP': <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, 'CURRENT_USER': <TokenType.CURRENT_USER: 'CURRENT_USER'>, 'DATABASE': <TokenType.DATABASE: 'DATABASE'>, 'DEFAULT': <TokenType.DEFAULT: 'DEFAULT'>, 'DELETE': <TokenType.DELETE: 'DELETE'>, 'DESC': <TokenType.DESC: 'DESC'>, 'DESCRIBE': <TokenType.DESCRIBE: 'DESCRIBE'>, 'DISTINCT': <TokenType.DISTINCT: 'DISTINCT'>, 'DISTRIBUTE BY': <TokenType.DISTRIBUTE_BY: 'DISTRIBUTE_BY'>, 'DROP': <TokenType.DROP: 'DROP'>, 'ELSE': <TokenType.ELSE: 'ELSE'>, 'END': <TokenType.END: 'END'>, 'ENUM': <TokenType.ENUM: 'ENUM'>, 'ESCAPE': <TokenType.ESCAPE: 'ESCAPE'>, 'EXCEPT': <TokenType.EXCEPT: 'EXCEPT'>, 'EXECUTE': <TokenType.EXECUTE: 'EXECUTE'>, 'EXISTS': <TokenType.EXISTS: 'EXISTS'>, 'FALSE': <TokenType.FALSE: 'FALSE'>, 'FETCH': <TokenType.FETCH: 'FETCH'>, 'FILTER': <TokenType.FILTER: 'FILTER'>, 'FIRST': <TokenType.FIRST: 'FIRST'>, 'FULL': <TokenType.FULL: 'FULL'>, 'FUNCTION': <TokenType.FUNCTION: 'FUNCTION'>, 'FOR': <TokenType.FOR: 'FOR'>, 'FOREIGN KEY': <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, 'FORMAT': <TokenType.FORMAT: 'FORMAT'>, 'FROM': <TokenType.FROM: 'FROM'>, 'GEOGRAPHY': <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, 'GEOMETRY': <TokenType.GEOMETRY: 'GEOMETRY'>, 'GLOB': <TokenType.GLOB: 'GLOB'>, 'GROUP BY': <TokenType.GROUP_BY: 'GROUP_BY'>, 'GROUPING SETS': <TokenType.GROUPING_SETS: 'GROUPING_SETS'>, 'HAVING': <TokenType.HAVING: 'HAVING'>, 'ILIKE': <TokenType.ILIKE: 'ILIKE'>, 'IN': <TokenType.IN: 'IN'>, 'INDEX': <TokenType.INDEX: 'INDEX'>, 'INET': <TokenType.INET: 'INET'>, 'INNER': <TokenType.INNER: 'INNER'>, 'INSERT': <TokenType.INSERT: 'INSERT'>, 'INTERVAL': <TokenType.INTERVAL: 'INTERVAL'>, 'INTERSECT': <TokenType.INTERSECT: 'INTERSECT'>, 'INTO': <TokenType.INTO: 'INTO'>, 'IS': <TokenType.IS: 'IS'>, 'ISNULL': <TokenType.ISNULL: 'ISNULL'>, 'JOIN': <TokenType.JOIN: 'JOIN'>, 'KEEP': <TokenType.KEEP: 'KEEP'>, 'KILL': <TokenType.KILL: 'KILL'>, 'LATERAL': <TokenType.LATERAL: 'LATERAL'>, 'LEFT': <TokenType.LEFT: 'LEFT'>, 'LIKE': <TokenType.LIKE: 'LIKE'>, 'LIMIT': <TokenType.LIMIT: 'LIMIT'>, 'LOAD': <TokenType.LOAD: 'LOAD'>, 'LOCK': <TokenType.LOCK: 'LOCK'>, 'MERGE': <TokenType.MERGE: 'MERGE'>, 'NAMESPACE': <TokenType.NAMESPACE: 'NAMESPACE'>, 'NATURAL': <TokenType.NATURAL: 'NATURAL'>, 'NEXT': <TokenType.NEXT: 'NEXT'>, 'NOT': <TokenType.NOT: 'NOT'>, 'NOTNULL': <TokenType.NOTNULL: 'NOTNULL'>, 'NULL': <TokenType.NULL: 'NULL'>, 'OBJECT': <TokenType.OBJECT: 'OBJECT'>, 'OFFSET': <TokenType.OFFSET: 'OFFSET'>, 'ON': <TokenType.ON: 'ON'>, 'OR': <TokenType.OR: 'OR'>, 'XOR': <TokenType.XOR: 'XOR'>, 'ORDER BY': <TokenType.ORDER_BY: 'ORDER_BY'>, 'ORDINALITY': <TokenType.ORDINALITY: 'ORDINALITY'>, 'OUTER': <TokenType.OUTER: 'OUTER'>, 'OVER': <TokenType.OVER: 'OVER'>, 'OVERLAPS': <TokenType.OVERLAPS: 'OVERLAPS'>, 'OVERWRITE': <TokenType.OVERWRITE: 'OVERWRITE'>, 'PARTITION': <TokenType.PARTITION: 'PARTITION'>, 'PARTITION BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PARTITIONED BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PARTITIONED_BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PERCENT': <TokenType.PERCENT: 'PERCENT'>, 'PIVOT': <TokenType.PIVOT: 'PIVOT'>, 'PRAGMA': <TokenType.PRAGMA: 'PRAGMA'>, 'PRIMARY KEY': <TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>, 'PROCEDURE': <TokenType.PROCEDURE: 'PROCEDURE'>, 'QUALIFY': <TokenType.QUALIFY: 'QUALIFY'>, 'RANGE': <TokenType.RANGE: 'RANGE'>, 'RECURSIVE': <TokenType.RECURSIVE: 'RECURSIVE'>, 'REGEXP': <TokenType.RLIKE: 'RLIKE'>, 'RENAME': <TokenType.RENAME: 'RENAME'>, 'REPLACE': <TokenType.REPLACE: 'REPLACE'>, 'RETURNING': <TokenType.RETURNING: 'RETURNING'>, 'REFERENCES': <TokenType.REFERENCES: 'REFERENCES'>, 'RIGHT': <TokenType.RIGHT: 'RIGHT'>, 'RLIKE': <TokenType.RLIKE: 'RLIKE'>, 'ROLLBACK': <TokenType.ROLLBACK: 'ROLLBACK'>, 'ROLLUP': <TokenType.ROLLUP: 'ROLLUP'>, 'ROW': <TokenType.ROW: 'ROW'>, 'ROWS': <TokenType.ROWS: 'ROWS'>, 'SCHEMA': <TokenType.SCHEMA: 'SCHEMA'>, 'SELECT': <TokenType.SELECT: 'SELECT'>, 'SEMI': <TokenType.SEMI: 'SEMI'>, 'SET': <TokenType.SET: 'SET'>, 'SETTINGS': <TokenType.SETTINGS: 'SETTINGS'>, 'SHOW': <TokenType.SHOW: 'SHOW'>, 'SIMILAR TO': <TokenType.SIMILAR_TO: 'SIMILAR_TO'>, 'SOME': <TokenType.SOME: 'SOME'>, 'SORT BY': <TokenType.SORT_BY: 'SORT_BY'>, 'START WITH': <TokenType.START_WITH: 'START_WITH'>, 'STRAIGHT_JOIN': <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, 'TABLE': <TokenType.TABLE: 'TABLE'>, 'TABLESAMPLE': <TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>, 'TEMP': <TokenType.TEMPORARY: 'TEMPORARY'>, 'TEMPORARY': <TokenType.TEMPORARY: 'TEMPORARY'>, 'THEN': <TokenType.THEN: 'THEN'>, 'TRUE': <TokenType.TRUE: 'TRUE'>, 'TRUNCATE': <TokenType.TRUNCATE: 'TRUNCATE'>, 'UNION': <TokenType.UNION: 'UNION'>, 'UNKNOWN': <TokenType.UNKNOWN: 'UNKNOWN'>, 'UNNEST': <TokenType.UNNEST: 'UNNEST'>, 'UNPIVOT': <TokenType.UNPIVOT: 'UNPIVOT'>, 'UPDATE': <TokenType.UPDATE: 'UPDATE'>, 'USE': <TokenType.USE: 'USE'>, 'USING': <TokenType.USING: 'USING'>, 'UUID': <TokenType.UUID: 'UUID'>, 'VIEW': <TokenType.VIEW: 'VIEW'>, 'VOLATILE': <TokenType.VOLATILE: 'VOLATILE'>, 'WHEN': <TokenType.WHEN: 'WHEN'>, 'WHERE': <TokenType.WHERE: 'WHERE'>, 'WINDOW': <TokenType.WINDOW: 'WINDOW'>, 'WITH': <TokenType.WITH: 'WITH'>, 'APPLY': <TokenType.APPLY: 'APPLY'>, 'ARRAY': <TokenType.ARRAY: 'ARRAY'>, 'BIT': <TokenType.BIT: 'BIT'>, 'BOOL': <TokenType.BOOLEAN: 'BOOLEAN'>, 'BOOLEAN': <TokenType.BOOLEAN: 'BOOLEAN'>, 'BYTE': <TokenType.TINYINT: 'TINYINT'>, 'MEDIUMINT': <TokenType.MEDIUMINT: 'MEDIUMINT'>, 'INT1': <TokenType.TINYINT: 'TINYINT'>, 'TINYINT': <TokenType.TINYINT: 'TINYINT'>, 'INT16': <TokenType.SMALLINT: 'SMALLINT'>, 'SHORT': <TokenType.SMALLINT: 'SMALLINT'>, 'SMALLINT': <TokenType.SMALLINT: 'SMALLINT'>, 'HUGEINT': <TokenType.INT128: 'INT128'>, 'UHUGEINT': <TokenType.UINT128: 'UINT128'>, 'INT2': <TokenType.SMALLINT: 'SMALLINT'>, 'INTEGER': <TokenType.INT: 'INT'>, 'INT': <TokenType.INT: 'INT'>, 'INT4': <TokenType.INT: 'INT'>, 'INT32': <TokenType.INT: 'INT'>, 'INT64': <TokenType.BIGINT: 'BIGINT'>, 'INT128': <TokenType.INT128: 'INT128'>, 'INT256': <TokenType.INT256: 'INT256'>, 'LONG': <TokenType.BIGINT: 'BIGINT'>, 'BIGINT': <TokenType.BIGINT: 'BIGINT'>, 'INT8': <TokenType.TINYINT: 'TINYINT'>, 'UINT': <TokenType.UINT: 'UINT'>, 'UINT128': <TokenType.UINT128: 'UINT128'>, 'UINT256': <TokenType.UINT256: 'UINT256'>, 'DEC': <TokenType.DECIMAL: 'DECIMAL'>, 'DECIMAL': <TokenType.DECIMAL: 'DECIMAL'>, 'DECIMAL32': <TokenType.DECIMAL32: 'DECIMAL32'>, 'DECIMAL64': <TokenType.DECIMAL64: 'DECIMAL64'>, 'DECIMAL128': <TokenType.DECIMAL128: 'DECIMAL128'>, 'DECIMAL256': <TokenType.DECIMAL256: 'DECIMAL256'>, 'BIGDECIMAL': <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, 'BIGNUMERIC': <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, 'LIST': <TokenType.LIST: 'LIST'>, 'MAP': <TokenType.MAP: 'MAP'>, 'NULLABLE': <TokenType.NULLABLE: 'NULLABLE'>, 'NUMBER': <TokenType.DECIMAL: 'DECIMAL'>, 'NUMERIC': <TokenType.DECIMAL: 'DECIMAL'>, 'FIXED': <TokenType.DECIMAL: 'DECIMAL'>, 'REAL': <TokenType.FLOAT: 'FLOAT'>, 'FLOAT': <TokenType.FLOAT: 'FLOAT'>, 'FLOAT4': <TokenType.FLOAT: 'FLOAT'>, 'FLOAT8': <TokenType.DOUBLE: 'DOUBLE'>, 'DOUBLE': <TokenType.DOUBLE: 'DOUBLE'>, 'DOUBLE PRECISION': <TokenType.DOUBLE: 'DOUBLE'>, 'JSON': <TokenType.JSON: 'JSON'>, 'JSONB': <TokenType.JSONB: 'JSONB'>, 'CHAR': <TokenType.CHAR: 'CHAR'>, 'CHARACTER': <TokenType.CHAR: 'CHAR'>, 'CHAR VARYING': <TokenType.VARCHAR: 'VARCHAR'>, 'CHARACTER VARYING': <TokenType.VARCHAR: 'VARCHAR'>, 'NCHAR': <TokenType.NCHAR: 'NCHAR'>, 'VARCHAR': <TokenType.VARCHAR: 'VARCHAR'>, 'VARCHAR2': <TokenType.VARCHAR: 'VARCHAR'>, 'NVARCHAR': <TokenType.NVARCHAR: 'NVARCHAR'>, 'NVARCHAR2': <TokenType.NVARCHAR: 'NVARCHAR'>, 'BPCHAR': <TokenType.BPCHAR: 'BPCHAR'>, 'STR': <TokenType.TEXT: 'TEXT'>, 'STRING': <TokenType.TEXT: 'TEXT'>, 'TEXT': <TokenType.TEXT: 'TEXT'>, 'LONGTEXT': <TokenType.LONGTEXT: 'LONGTEXT'>, 'MEDIUMTEXT': <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, 'TINYTEXT': <TokenType.TINYTEXT: 'TINYTEXT'>, 'CLOB': <TokenType.TEXT: 'TEXT'>, 'LONGVARCHAR': <TokenType.TEXT: 'TEXT'>, 'BINARY': <TokenType.BINARY: 'BINARY'>, 'BLOB': <TokenType.VARBINARY: 'VARBINARY'>, 'LONGBLOB': <TokenType.LONGBLOB: 'LONGBLOB'>, 'MEDIUMBLOB': <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, 'TINYBLOB': <TokenType.TINYBLOB: 'TINYBLOB'>, 'BYTEA': <TokenType.VARBINARY: 'VARBINARY'>, 'VARBINARY': <TokenType.VARBINARY: 'VARBINARY'>, 'TIME': <TokenType.TIME: 'TIME'>, 'TIMETZ': <TokenType.TIMETZ: 'TIMETZ'>, 'TIMESTAMP': <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, 'TIMESTAMPTZ': <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, 'TIMESTAMPLTZ': <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, 'TIMESTAMP_LTZ': <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, 'TIMESTAMPNTZ': <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, 'TIMESTAMP_NTZ': <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, 'DATE': <TokenType.DATE: 'DATE'>, 'DATETIME': <TokenType.TIMESTAMP: 'TIMESTAMP'>, 'INT4RANGE': <TokenType.INT4RANGE: 'INT4RANGE'>, 'INT4MULTIRANGE': <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, 'INT8RANGE': <TokenType.INT8RANGE: 'INT8RANGE'>, 'INT8MULTIRANGE': <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, 'NUMRANGE': <TokenType.NUMRANGE: 'NUMRANGE'>, 'NUMMULTIRANGE': <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, 'TSRANGE': <TokenType.TSRANGE: 'TSRANGE'>, 'TSMULTIRANGE': <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, 'TSTZRANGE': <TokenType.TSTZRANGE: 'TSTZRANGE'>, 'TSTZMULTIRANGE': <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, 'DATERANGE': <TokenType.DATERANGE: 'DATERANGE'>, 'DATEMULTIRANGE': <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, 'UNIQUE': <TokenType.UNIQUE: 'UNIQUE'>, 'VECTOR': <TokenType.VECTOR: 'VECTOR'>, 'STRUCT': <TokenType.STRUCT: 'STRUCT'>, 'SEQUENCE': <TokenType.SEQUENCE: 'SEQUENCE'>, 'VARIANT': <TokenType.VARIANT: 'VARIANT'>, 'ALTER': <TokenType.ALTER: 'ALTER'>, 'ANALYZE': <TokenType.ANALYZE: 'ANALYZE'>, 'CALL': <TokenType.COMMAND: 'COMMAND'>, 'COMMENT': <TokenType.COMMENT: 'COMMENT'>, 'EXPLAIN': <TokenType.COMMAND: 'COMMAND'>, 'GRANT': <TokenType.GRANT: 'GRANT'>, 'OPTIMIZE': <TokenType.COMMAND: 'COMMAND'>, 'PREPARE': <TokenType.COMMAND: 'COMMAND'>, 'VACUUM': <TokenType.COMMAND: 'COMMAND'>, 'USER-DEFINED': <TokenType.USERDEFINED: 'USERDEFINED'>, 'FOR VERSION': <TokenType.VERSION_SNAPSHOT: 'VERSION_SNAPSHOT'>, 'FOR TIMESTAMP': <TokenType.TIMESTAMP_SNAPSHOT: 'TIMESTAMP_SNAPSHOT'>, 'ANY TYPE': <TokenType.VARIANT: 'VARIANT'>, 'BEGIN TRANSACTION': <TokenType.BEGIN: 'BEGIN'>, 'BYTEINT': <TokenType.INT: 'INT'>, 'BYTES': <TokenType.BINARY: 'BINARY'>, 'CURRENT_DATETIME': <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, 'DECLARE': <TokenType.COMMAND: 'COMMAND'>, 'ELSEIF': <TokenType.COMMAND: 'COMMAND'>, 'EXCEPTION': <TokenType.COMMAND: 'COMMAND'>, 'EXPORT': <TokenType.EXPORT: 'EXPORT'>, 'FLOAT64': <TokenType.DOUBLE: 'DOUBLE'>, 'FOR SYSTEM_TIME': <TokenType.TIMESTAMP_SNAPSHOT: 'TIMESTAMP_SNAPSHOT'>, 'MODEL': <TokenType.MODEL: 'MODEL'>, 'NOT DETERMINISTIC': <TokenType.VOLATILE: 'VOLATILE'>, 'RECORD': <TokenType.STRUCT: 'STRUCT'>}

##### Inherited Members

sqlglot.tokens.Tokenizer
  Tokenizer
  SINGLE_TOKENS
  BIT_STRINGS
  HEREDOC_STRINGS
  UNICODE_STRINGS
  VAR_SINGLE_TOKENS
  IDENTIFIER_ESCAPES
  HEREDOC_TAG_IS_IDENTIFIER
  HEREDOC_STRING_ALTERNATIVE
  STRING_ESCAPES_ALLOWED_IN_RAW_STRINGS
  NESTED_COMMENTS
  HINT_START
  TOKENS_PRECEDING_HINT
  WHITE_SPACE
  COMMANDS
  COMMAND_PREFIX_TOKENS
  NUMERIC_LITERALS
  dialect
  use_rs_tokenizer
  reset
  tokenize
  tokenize_rs
  size
  sql
  tokens

class BigQuery.Parser(sqlglot.parser.Parser): View Source

    522    class Parser(parser.Parser):
    523        PREFIXED_PIVOT_COLUMNS = True
    524        LOG_DEFAULTS_TO_LN = True
    525        SUPPORTS_IMPLICIT_UNNEST = True
    526
    527        FUNCTIONS = {
    528            **parser.Parser.FUNCTIONS,
    529            "CONTAINS_SUBSTR": _build_contains_substring,
    530            "DATE": _build_date,
    531            "DATE_ADD": build_date_delta_with_interval(exp.DateAdd),
    532            "DATE_SUB": build_date_delta_with_interval(exp.DateSub),
    533            "DATE_TRUNC": lambda args: exp.DateTrunc(
    534                unit=exp.Literal.string(str(seq_get(args, 1))),
    535                this=seq_get(args, 0),
    536                zone=seq_get(args, 2),
    537            ),
    538            "DATETIME": _build_datetime,
    539            "DATETIME_ADD": build_date_delta_with_interval(exp.DatetimeAdd),
    540            "DATETIME_SUB": build_date_delta_with_interval(exp.DatetimeSub),
    541            "DIV": binary_from_function(exp.IntDiv),
    542            "EDIT_DISTANCE": _build_levenshtein,
    543            "FORMAT_DATE": _build_format_time(exp.TsOrDsToDate),
    544            "GENERATE_ARRAY": exp.GenerateSeries.from_arg_list,
    545            "JSON_EXTRACT_SCALAR": _build_extract_json_with_default_path(exp.JSONExtractScalar),
    546            "JSON_EXTRACT_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
    547            "JSON_QUERY": parser.build_extract_json_with_path(exp.JSONExtract),
    548            "JSON_QUERY_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
    549            "JSON_VALUE": _build_extract_json_with_default_path(exp.JSONExtractScalar),
    550            "JSON_VALUE_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
    551            "LENGTH": lambda args: exp.Length(this=seq_get(args, 0), binary=True),
    552            "MD5": exp.MD5Digest.from_arg_list,
    553            "TO_HEX": _build_to_hex,
    554            "PARSE_DATE": lambda args: build_formatted_time(exp.StrToDate, "bigquery")(
    555                [seq_get(args, 1), seq_get(args, 0)]
    556            ),
    557            "PARSE_TIMESTAMP": _build_parse_timestamp,
    558            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
    559            "REGEXP_EXTRACT": _build_regexp_extract(exp.RegexpExtract),
    560            "REGEXP_SUBSTR": _build_regexp_extract(exp.RegexpExtract),
    561            "REGEXP_EXTRACT_ALL": _build_regexp_extract(
    562                exp.RegexpExtractAll, default_group=exp.Literal.number(0)
    563            ),
    564            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
    565            "SHA512": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(512)),
    566            "SPLIT": lambda args: exp.Split(
    567                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
    568                this=seq_get(args, 0),
    569                expression=seq_get(args, 1) or exp.Literal.string(","),
    570            ),
    571            "STRPOS": exp.StrPosition.from_arg_list,
    572            "TIME": _build_time,
    573            "TIME_ADD": build_date_delta_with_interval(exp.TimeAdd),
    574            "TIME_SUB": build_date_delta_with_interval(exp.TimeSub),
    575            "TIMESTAMP": _build_timestamp,
    576            "TIMESTAMP_ADD": build_date_delta_with_interval(exp.TimestampAdd),
    577            "TIMESTAMP_SUB": build_date_delta_with_interval(exp.TimestampSub),
    578            "TIMESTAMP_MICROS": lambda args: exp.UnixToTime(
    579                this=seq_get(args, 0), scale=exp.UnixToTime.MICROS
    580            ),
    581            "TIMESTAMP_MILLIS": lambda args: exp.UnixToTime(
    582                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
    583            ),
    584            "TIMESTAMP_SECONDS": lambda args: exp.UnixToTime(this=seq_get(args, 0)),
    585            "TO_JSON_STRING": exp.JSONFormat.from_arg_list,
    586            "FORMAT_DATETIME": _build_format_time(exp.TsOrDsToDatetime),
    587            "FORMAT_TIMESTAMP": _build_format_time(exp.TsOrDsToTimestamp),
    588        }
    589
    590        FUNCTION_PARSERS = {
    591            **parser.Parser.FUNCTION_PARSERS,
    592            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
    593            "MAKE_INTERVAL": lambda self: self._parse_make_interval(),
    594            "FEATURES_AT_TIME": lambda self: self._parse_features_at_time(),
    595        }
    596        FUNCTION_PARSERS.pop("TRIM")
    597
    598        NO_PAREN_FUNCTIONS = {
    599            **parser.Parser.NO_PAREN_FUNCTIONS,
    600            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
    601        }
    602
    603        NESTED_TYPE_TOKENS = {
    604            *parser.Parser.NESTED_TYPE_TOKENS,
    605            TokenType.TABLE,
    606        }
    607
    608        PROPERTY_PARSERS = {
    609            **parser.Parser.PROPERTY_PARSERS,
    610            "NOT DETERMINISTIC": lambda self: self.expression(
    611                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
    612            ),
    613            "OPTIONS": lambda self: self._parse_with_property(),
    614        }
    615
    616        CONSTRAINT_PARSERS = {
    617            **parser.Parser.CONSTRAINT_PARSERS,
    618            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
    619        }
    620
    621        RANGE_PARSERS = parser.Parser.RANGE_PARSERS.copy()
    622        RANGE_PARSERS.pop(TokenType.OVERLAPS)
    623
    624        NULL_TOKENS = {TokenType.NULL, TokenType.UNKNOWN}
    625
    626        DASHED_TABLE_PART_FOLLOW_TOKENS = {TokenType.DOT, TokenType.L_PAREN, TokenType.R_PAREN}
    627
    628        STATEMENT_PARSERS = {
    629            **parser.Parser.STATEMENT_PARSERS,
    630            TokenType.ELSE: lambda self: self._parse_as_command(self._prev),
    631            TokenType.END: lambda self: self._parse_as_command(self._prev),
    632            TokenType.FOR: lambda self: self._parse_for_in(),
    633            TokenType.EXPORT: lambda self: self._parse_export_data(),
    634        }
    635
    636        BRACKET_OFFSETS = {
    637            "OFFSET": (0, False),
    638            "ORDINAL": (1, False),
    639            "SAFE_OFFSET": (0, True),
    640            "SAFE_ORDINAL": (1, True),
    641        }
    642
    643        def _parse_for_in(self) -> exp.ForIn:
    644            this = self._parse_range()
    645            self._match_text_seq("DO")
    646            return self.expression(exp.ForIn, this=this, expression=self._parse_statement())
    647
    648        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
    649            this = super()._parse_table_part(schema=schema) or self._parse_number()
    650
    651            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
    652            if isinstance(this, exp.Identifier):
    653                table_name = this.name
    654                while self._match(TokenType.DASH, advance=False) and self._next:
    655                    start = self._curr
    656                    while self._is_connected() and not self._match_set(
    657                        self.DASHED_TABLE_PART_FOLLOW_TOKENS, advance=False
    658                    ):
    659                        self._advance()
    660
    661                    table_name += self._find_sql(start, self._prev)
    662
    663                this = exp.Identifier(
    664                    this=table_name, quoted=this.args.get("quoted")
    665                ).update_positions(this)
    666            elif isinstance(this, exp.Literal):
    667                table_name = this.name
    668
    669                if self._is_connected() and self._parse_var(any_token=True):
    670                    table_name += self._prev.text
    671
    672                this = exp.Identifier(this=table_name, quoted=True).update_positions(this)
    673
    674            return this
    675
    676        def _parse_table_parts(
    677            self, schema: bool = False, is_db_reference: bool = False, wildcard: bool = False
    678        ) -> exp.Table:
    679            table = super()._parse_table_parts(
    680                schema=schema, is_db_reference=is_db_reference, wildcard=True
    681            )
    682
    683            # proj-1.db.tbl -- `1.` is tokenized as a float so we need to unravel it here
    684            if not table.catalog:
    685                if table.db:
    686                    previous_db = table.args["db"]
    687                    parts = table.db.split(".")
    688                    if len(parts) == 2 and not table.args["db"].quoted:
    689                        table.set(
    690                            "catalog", exp.Identifier(this=parts[0]).update_positions(previous_db)
    691                        )
    692                        table.set("db", exp.Identifier(this=parts[1]).update_positions(previous_db))
    693                else:
    694                    previous_this = table.this
    695                    parts = table.name.split(".")
    696                    if len(parts) == 2 and not table.this.quoted:
    697                        table.set(
    698                            "db", exp.Identifier(this=parts[0]).update_positions(previous_this)
    699                        )
    700                        table.set(
    701                            "this", exp.Identifier(this=parts[1]).update_positions(previous_this)
    702                        )
    703
    704            if isinstance(table.this, exp.Identifier) and any("." in p.name for p in table.parts):
    705                alias = table.this
    706                catalog, db, this, *rest = (
    707                    exp.to_identifier(p, quoted=True)
    708                    for p in split_num_words(".".join(p.name for p in table.parts), ".", 3)
    709                )
    710
    711                for part in (catalog, db, this):
    712                    if part:
    713                        part.update_positions(table.this)
    714
    715                if rest and this:
    716                    this = exp.Dot.build([this, *rest])  # type: ignore
    717
    718                table = exp.Table(
    719                    this=this, db=db, catalog=catalog, pivots=table.args.get("pivots")
    720                )
    721                table.meta["quoted_table"] = True
    722            else:
    723                alias = None
    724
    725            # The `INFORMATION_SCHEMA` views in BigQuery need to be qualified by a region or
    726            # dataset, so if the project identifier is omitted we need to fix the ast so that
    727            # the `INFORMATION_SCHEMA.X` bit is represented as a single (quoted) Identifier.
    728            # Otherwise, we wouldn't correctly qualify a `Table` node that references these
    729            # views, because it would seem like the "catalog" part is set, when it'd actually
    730            # be the region/dataset. Merging the two identifiers into a single one is done to
    731            # avoid producing a 4-part Table reference, which would cause issues in the schema
    732            # module, when there are 3-part table names mixed with information schema views.
    733            #
    734            # See: https://cloud.google.com/bigquery/docs/information-schema-intro#syntax
    735            table_parts = table.parts
    736            if len(table_parts) > 1 and table_parts[-2].name.upper() == "INFORMATION_SCHEMA":
    737                # We need to alias the table here to avoid breaking existing qualified columns.
    738                # This is expected to be safe, because if there's an actual alias coming up in
    739                # the token stream, it will overwrite this one. If there isn't one, we are only
    740                # exposing the name that can be used to reference the view explicitly (a no-op).
    741                exp.alias_(
    742                    table,
    743                    t.cast(exp.Identifier, alias or table_parts[-1]),
    744                    table=True,
    745                    copy=False,
    746                )
    747
    748                info_schema_view = f"{table_parts[-2].name}.{table_parts[-1].name}"
    749                new_this = exp.Identifier(this=info_schema_view, quoted=True).update_positions(
    750                    line=table_parts[-2].meta.get("line"),
    751                    col=table_parts[-1].meta.get("col"),
    752                    start=table_parts[-2].meta.get("start"),
    753                    end=table_parts[-1].meta.get("end"),
    754                )
    755                table.set("this", new_this)
    756                table.set("db", seq_get(table_parts, -3))
    757                table.set("catalog", seq_get(table_parts, -4))
    758
    759            return table
    760
    761        def _parse_column(self) -> t.Optional[exp.Expression]:
    762            column = super()._parse_column()
    763            if isinstance(column, exp.Column):
    764                parts = column.parts
    765                if any("." in p.name for p in parts):
    766                    catalog, db, table, this, *rest = (
    767                        exp.to_identifier(p, quoted=True)
    768                        for p in split_num_words(".".join(p.name for p in parts), ".", 4)
    769                    )
    770
    771                    if rest and this:
    772                        this = exp.Dot.build([this, *rest])  # type: ignore
    773
    774                    column = exp.Column(this=this, table=table, db=db, catalog=catalog)
    775                    column.meta["quoted_column"] = True
    776
    777            return column
    778
    779        @t.overload
    780        def _parse_json_object(self, agg: Lit[False]) -> exp.JSONObject: ...
    781
    782        @t.overload
    783        def _parse_json_object(self, agg: Lit[True]) -> exp.JSONObjectAgg: ...
    784
    785        def _parse_json_object(self, agg=False):
    786            json_object = super()._parse_json_object()
    787            array_kv_pair = seq_get(json_object.expressions, 0)
    788
    789            # Converts BQ's "signature 2" of JSON_OBJECT into SQLGlot's canonical representation
    790            # https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions#json_object_signature2
    791            if (
    792                array_kv_pair
    793                and isinstance(array_kv_pair.this, exp.Array)
    794                and isinstance(array_kv_pair.expression, exp.Array)
    795            ):
    796                keys = array_kv_pair.this.expressions
    797                values = array_kv_pair.expression.expressions
    798
    799                json_object.set(
    800                    "expressions",
    801                    [exp.JSONKeyValue(this=k, expression=v) for k, v in zip(keys, values)],
    802                )
    803
    804            return json_object
    805
    806        def _parse_bracket(
    807            self, this: t.Optional[exp.Expression] = None
    808        ) -> t.Optional[exp.Expression]:
    809            bracket = super()._parse_bracket(this)
    810
    811            if this is bracket:
    812                return bracket
    813
    814            if isinstance(bracket, exp.Bracket):
    815                for expression in bracket.expressions:
    816                    name = expression.name.upper()
    817
    818                    if name not in self.BRACKET_OFFSETS:
    819                        break
    820
    821                    offset, safe = self.BRACKET_OFFSETS[name]
    822                    bracket.set("offset", offset)
    823                    bracket.set("safe", safe)
    824                    expression.replace(expression.expressions[0])
    825
    826            return bracket
    827
    828        def _parse_unnest(self, with_alias: bool = True) -> t.Optional[exp.Unnest]:
    829            unnest = super()._parse_unnest(with_alias=with_alias)
    830
    831            if not unnest:
    832                return None
    833
    834            unnest_expr = seq_get(unnest.expressions, 0)
    835            if unnest_expr:
    836                from sqlglot.optimizer.annotate_types import annotate_types
    837
    838                unnest_expr = annotate_types(unnest_expr, dialect=self.dialect)
    839
    840                # Unnesting a nested array (i.e array of structs) explodes the top-level struct fields,
    841                # in contrast to other dialects such as DuckDB which flattens only the array by default
    842                if unnest_expr.is_type(exp.DataType.Type.ARRAY) and any(
    843                    array_elem.is_type(exp.DataType.Type.STRUCT)
    844                    for array_elem in unnest_expr._type.expressions
    845                ):
    846                    unnest.set("explode_array", True)
    847
    848            return unnest
    849
    850        def _parse_make_interval(self) -> exp.MakeInterval:
    851            expr = exp.MakeInterval()
    852
    853            for arg_key in expr.arg_types:
    854                value = self._parse_lambda()
    855
    856                if not value:
    857                    break
    858
    859                # Non-named arguments are filled sequentially, (optionally) followed by named arguments
    860                # that can appear in any order e.g MAKE_INTERVAL(1, minute => 5, day => 2)
    861                if isinstance(value, exp.Kwarg):
    862                    arg_key = value.this.name
    863
    864                expr.set(arg_key, value)
    865
    866                self._match(TokenType.COMMA)
    867
    868            return expr
    869
    870        def _parse_features_at_time(self) -> exp.FeaturesAtTime:
    871            expr = self.expression(
    872                exp.FeaturesAtTime,
    873                this=(self._match(TokenType.TABLE) and self._parse_table())
    874                or self._parse_select(nested=True),
    875            )
    876
    877            while self._match(TokenType.COMMA):
    878                arg = self._parse_lambda()
    879
    880                # Get the LHS of the Kwarg and set the arg to that value, e.g
    881                # "num_rows => 1" sets the expr's `num_rows` arg
    882                if arg:
    883                    expr.set(arg.this.name, arg)
    884
    885            return expr
    886
    887        def _parse_export_data(self) -> exp.Export:
    888            self._match_text_seq("DATA")
    889
    890            return self.expression(
    891                exp.Export,
    892                connection=self._match_text_seq("WITH", "CONNECTION") and self._parse_table_parts(),
    893                options=self._parse_properties(),
    894                this=self._match_text_seq("AS") and self._parse_select(),
    895            )

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

###### Arguments:

- error_level: The desired error level. Default: ErrorLevel.IMMEDIATE
- error_message_context: The amount of context to capture from a query string when displaying the error message (in number of characters). Default: 100
- max_errors: Maximum number of error messages to include in a raised ParseError. This is only relevant if error_level is ErrorLevel.RAISE. Default: 3

PREFIXED_PIVOT_COLUMNS = True
LOG_DEFAULTS_TO_LN = True
SUPPORTS_IMPLICIT_UNNEST = True
FUNCTIONS = {'ABS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Abs'>>, 'ADD_MONTHS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AddMonths'>>, 'AND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.And'>>, 'ANONYMOUS_AGG_FUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AnonymousAggFunc'>>, 'ANY_VALUE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AnyValue'>>, 'APPLY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Apply'>>, 'APPROX_DISTINCT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxDistinct'>>, 'APPROX_COUNT_DISTINCT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxDistinct'>>, 'APPROX_QUANTILE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxQuantile'>>, 'APPROX_TOP_K': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxTopK'>>, 'ARG_MAX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMax'>>, 'ARGMAX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMax'>>, 'MAX_BY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMax'>>, 'ARG_MIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMin'>>, 'ARGMIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMin'>>, 'MIN_BY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMin'>>, 'ARRAY': <function Parser.<lambda>>, 'ARRAY_AGG': <function Parser.<lambda>>, 'ARRAY_ALL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayAll'>>, 'ARRAY_ANY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayAny'>>, 'ARRAY_CONCAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayConcat'>>, 'ARRAY_CAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayConcat'>>, 'ARRAY_CONSTRUCT_COMPACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayConstructCompact'>>, 'ARRAY_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayContains'>>, 'ARRAY_HAS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayContains'>>, 'ARRAY_CONTAINS_ALL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayContainsAll'>>, 'ARRAY_HAS_ALL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayContainsAll'>>, 'FILTER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayFilter'>>, 'ARRAY_FILTER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayFilter'>>, 'ARRAY_OVERLAPS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayOverlaps'>>, 'ARRAY_SIZE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySize'>>, 'ARRAY_LENGTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySize'>>, 'ARRAY_SORT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySort'>>, 'ARRAY_SUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySum'>>, 'ARRAY_TO_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayToString'>>, 'ARRAY_JOIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayToString'>>, 'ARRAY_UNION_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayUnionAgg'>>, 'ARRAY_UNIQUE_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayUniqueAgg'>>, 'AVG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Avg'>>, 'CASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Case'>>, 'CAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Cast'>>, 'CAST_TO_STR_TYPE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CastToStrType'>>, 'CBRT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Cbrt'>>, 'CEIL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ceil'>>, 'CEILING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ceil'>>, 'CHR': <function Parser.<lambda>>, 'CHAR': <function Parser.<lambda>>, 'COALESCE': <function build_coalesce>, 'IFNULL': <function build_coalesce>, 'NVL': <function build_coalesce>, 'COLLATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Collate'>>, 'COLUMNS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Columns'>>, 'COMBINED_AGG_FUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CombinedAggFunc'>>, 'COMBINED_PARAMETERIZED_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CombinedParameterizedAgg'>>, 'CONCAT': <function Parser.<lambda>>, 'CONCAT_WS': <function Parser.<lambda>>, 'CONNECT_BY_ROOT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ConnectByRoot'>>, 'CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Contains'>>, 'CONVERT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Convert'>>, 'CONVERT_TIMEZONE': <function build_convert_timezone>, 'CONVERT_TO_CHARSET': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ConvertToCharset'>>, 'CORR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Corr'>>, 'COUNT': <function Parser.<lambda>>, 'COUNT_IF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CountIf'>>, 'COUNTIF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CountIf'>>, 'COVAR_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CovarPop'>>, 'COVAR_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CovarSamp'>>, 'CURRENT_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentDate'>>, 'CURRENT_DATETIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentDatetime'>>, 'CURRENT_SCHEMA': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentSchema'>>, 'CURRENT_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentTime'>>, 'CURRENT_TIMESTAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentTimestamp'>>, 'CURRENT_USER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentUser'>>, 'DATE': <function _build_date>, 'DATE_ADD': <function build_date_delta_with_interval.<locals>._builder>, 'DATE_BIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateBin'>>, 'DATEDIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateDiff'>>, 'DATE_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateDiff'>>, 'DATE_FROM_PARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateFromParts'>>, 'DATEFROMPARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateFromParts'>>, 'DATE_STR_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateStrToDate'>>, 'DATE_SUB': <function build_date_delta_with_interval.<locals>._builder>, 'DATE_TO_DATE_STR': <function Parser.<lambda>>, 'DATE_TO_DI': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateToDi'>>, 'DATE_TRUNC': <function BigQuery.Parser.<lambda>>, 'DATETIME': <function _build_datetime>, 'DATETIME_ADD': <function build_date_delta_with_interval.<locals>._builder>, 'DATETIME_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DatetimeDiff'>>, 'DATETIME_SUB': <function build_date_delta_with_interval.<locals>._builder>, 'DATETIME_TRUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DatetimeTrunc'>>, 'DAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Day'>>, 'DAY_OF_MONTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfMonth'>>, 'DAYOFMONTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfMonth'>>, 'DAY_OF_WEEK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfWeek'>>, 'DAYOFWEEK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfWeek'>>, 'DAYOFWEEK_ISO': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfWeekIso'>>, 'ISODOW': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfWeekIso'>>, 'DAY_OF_YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfYear'>>, 'DAYOFYEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfYear'>>, 'DECODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Decode'>>, 'DI_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DiToDate'>>, 'ENCODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Encode'>>, 'EXISTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Exists'>>, 'EXP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Exp'>>, 'EXPLODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Explode'>>, 'EXPLODE_OUTER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ExplodeOuter'>>, 'EXPLODING_GENERATE_SERIES': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ExplodingGenerateSeries'>>, 'EXTRACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Extract'>>, 'FEATURES_AT_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FeaturesAtTime'>>, 'FIRST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.First'>>, 'FIRST_VALUE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FirstValue'>>, 'FLATTEN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Flatten'>>, 'FLOOR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Floor'>>, 'FROM_BASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FromBase'>>, 'FROM_BASE64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FromBase64'>>, 'FROM_ISO8601_TIMESTAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FromISO8601Timestamp'>>, 'GAP_FILL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.GapFill'>>, 'GENERATE_DATE_ARRAY': <function Parser.<lambda>>, 'GENERATE_SERIES': <bound method Func.from_arg_list of <class 'sqlglot.expressions.GenerateSeries'>>, 'GENERATE_TIMESTAMP_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.GenerateTimestampArray'>>, 'GREATEST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Greatest'>>, 'GROUP_CONCAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.GroupConcat'>>, 'HEX': <function build_hex>, 'HLL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Hll'>>, 'IF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.If'>>, 'IIF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.If'>>, 'INITCAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Initcap'>>, 'INLINE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Inline'>>, 'INT64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Int64'>>, 'IS_ASCII': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsAscii'>>, 'IS_INF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsInf'>>, 'ISINF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsInf'>>, 'IS_NAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsNan'>>, 'ISNAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsNan'>>, 'J_S_O_N_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArray'>>, 'J_S_O_N_ARRAY_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayAgg'>>, 'JSON_ARRAY_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayContains'>>, 'JSONB_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBContains'>>, 'JSONB_EXISTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBExists'>>, 'JSONB_EXTRACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBExtract'>>, 'JSONB_EXTRACT_SCALAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBExtractScalar'>>, 'J_S_O_N_B_OBJECT_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBObjectAgg'>>, 'J_S_O_N_CAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONCast'>>, 'J_S_O_N_EXISTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONExists'>>, 'JSON_EXTRACT': <function build_extract_json_with_path.<locals>._builder>, 'JSON_EXTRACT_ARRAY': <function _build_extract_json_with_default_path.<locals>._builder>, 'JSON_EXTRACT_SCALAR': <function _build_extract_json_with_default_path.<locals>._builder>, 'JSON_FORMAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONFormat'>>, 'J_S_O_N_OBJECT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONObject'>>, 'J_S_O_N_OBJECT_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONObjectAgg'>>, 'J_S_O_N_TABLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONTable'>>, 'J_S_O_N_VALUE_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONValueArray'>>, 'LAG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Lag'>>, 'LAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Last'>>, 'LAST_DAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LastDay'>>, 'LAST_DAY_OF_MONTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LastDay'>>, 'LAST_VALUE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LastValue'>>, 'LEAD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Lead'>>, 'LEAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Least'>>, 'LEFT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Left'>>, 'LENGTH': <function BigQuery.Parser.<lambda>>, 'LEN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Length'>>, 'CHAR_LENGTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Length'>>, 'CHARACTER_LENGTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Length'>>, 'LEVENSHTEIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Levenshtein'>>, 'LIST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.List'>>, 'LN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ln'>>, 'LOG': <function build_logarithm>, 'LOGICAL_AND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalAnd'>>, 'BOOL_AND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalAnd'>>, 'BOOLAND_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalAnd'>>, 'LOGICAL_OR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalOr'>>, 'BOOL_OR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalOr'>>, 'BOOLOR_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalOr'>>, 'LOWER': <function build_lower>, 'LCASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Lower'>>, 'LOWER_HEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LowerHex'>>, 'MD5': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MD5Digest'>>, 'MD5_DIGEST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MD5Digest'>>, 'MAKE_INTERVAL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MakeInterval'>>, 'MAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Map'>>, 'MAP_FROM_ENTRIES': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MapFromEntries'>>, 'MATCH_AGAINST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MatchAgainst'>>, 'MAX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Max'>>, 'MEDIAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Median'>>, 'MIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Min'>>, 'MONTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Month'>>, 'MONTHS_BETWEEN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MonthsBetween'>>, 'NEXT_VALUE_FOR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.NextValueFor'>>, 'NORMALIZE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Normalize'>>, 'NTH_VALUE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.NthValue'>>, 'NULLIF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Nullif'>>, 'NUMBER_TO_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.NumberToStr'>>, 'NVL2': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Nvl2'>>, 'OBJECT_INSERT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ObjectInsert'>>, 'OPEN_J_S_O_N': <bound method Func.from_arg_list of <class 'sqlglot.expressions.OpenJSON'>>, 'OR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Or'>>, 'OVERLAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Overlay'>>, 'PAD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Pad'>>, 'PARAMETERIZED_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParameterizedAgg'>>, 'PARSE_JSON': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParseJSON'>>, 'JSON_PARSE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParseJSON'>>, 'PERCENTILE_CONT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.PercentileCont'>>, 'PERCENTILE_DISC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.PercentileDisc'>>, 'POSEXPLODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Posexplode'>>, 'POSEXPLODE_OUTER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.PosexplodeOuter'>>, 'POWER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Pow'>>, 'POW': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Pow'>>, 'PREDICT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Predict'>>, 'QUANTILE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Quantile'>>, 'QUARTER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Quarter'>>, 'RAND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Rand'>>, 'RANDOM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Rand'>>, 'RANDN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Randn'>>, 'RANGE_N': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RangeN'>>, 'READ_CSV': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ReadCSV'>>, 'REDUCE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Reduce'>>, 'REGEXP_EXTRACT': <function _build_regexp_extract.<locals>._builder>, 'REGEXP_EXTRACT_ALL': <function _build_regexp_extract.<locals>._builder>, 'REGEXP_I_LIKE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpILike'>>, 'REGEXP_LIKE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpLike'>>, 'REGEXP_REPLACE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpReplace'>>, 'REGEXP_SPLIT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpSplit'>>, 'REPEAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Repeat'>>, 'RIGHT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Right'>>, 'ROUND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Round'>>, 'ROW_NUMBER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RowNumber'>>, 'SHA': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA'>>, 'SHA1': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA'>>, 'SHA2': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA2'>>, 'SAFE_DIVIDE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SafeDivide'>>, 'SIGN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sign'>>, 'SIGNUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sign'>>, 'SORT_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SortArray'>>, 'SPLIT': <function BigQuery.Parser.<lambda>>, 'SPLIT_PART': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SplitPart'>>, 'SQRT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sqrt'>>, 'STANDARD_HASH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StandardHash'>>, 'STAR_MAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StarMap'>>, 'STARTS_WITH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StartsWith'>>, 'STARTSWITH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StartsWith'>>, 'STDDEV': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stddev'>>, 'STDEV': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stddev'>>, 'STDDEV_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StddevPop'>>, 'STDDEV_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StddevSamp'>>, 'STR_POSITION': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrPosition'>>, 'STR_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrToDate'>>, 'STR_TO_MAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrToMap'>>, 'STR_TO_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrToTime'>>, 'STR_TO_UNIX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrToUnix'>>, 'STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.String'>>, 'STRING_TO_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StringToArray'>>, 'SPLIT_BY_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StringToArray'>>, 'STRUCT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Struct'>>, 'STRUCT_EXTRACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StructExtract'>>, 'STUFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stuff'>>, 'INSERT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stuff'>>, 'SUBSTRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Substring'>>, 'SUBSTR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Substring'>>, 'SUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sum'>>, 'TIME': <function _build_time>, 'TIME_ADD': <function build_date_delta_with_interval.<locals>._builder>, 'TIME_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeDiff'>>, 'TIME_FROM_PARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeFromParts'>>, 'TIMEFROMPARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeFromParts'>>, 'TIME_STR_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeStrToDate'>>, 'TIME_STR_TO_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeStrToTime'>>, 'TIME_STR_TO_UNIX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeStrToUnix'>>, 'TIME_SUB': <function build_date_delta_with_interval.<locals>._builder>, 'TIME_TO_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeToStr'>>, 'TIME_TO_TIME_STR': <function Parser.<lambda>>, 'TIME_TO_UNIX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeToUnix'>>, 'TIME_TRUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeTrunc'>>, 'TIMESTAMP': <function _build_timestamp>, 'TIMESTAMP_ADD': <function build_date_delta_with_interval.<locals>._builder>, 'TIMESTAMPDIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampDiff'>>, 'TIMESTAMP_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampDiff'>>, 'TIMESTAMP_FROM_PARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampFromParts'>>, 'TIMESTAMPFROMPARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampFromParts'>>, 'TIMESTAMP_SUB': <function build_date_delta_with_interval.<locals>._builder>, 'TIMESTAMP_TRUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampTrunc'>>, 'TO_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToArray'>>, 'TO_BASE64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToBase64'>>, 'TO_CHAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToChar'>>, 'TO_DAYS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToDays'>>, 'TO_DOUBLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToDouble'>>, 'TO_MAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToMap'>>, 'TO_NUMBER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToNumber'>>, 'TRANSFORM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Transform'>>, 'TRIM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Trim'>>, 'TRY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Try'>>, 'TRY_CAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TryCast'>>, 'TS_OR_DI_TO_DI': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDiToDi'>>, 'TS_OR_DS_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsAdd'>>, 'TS_OR_DS_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsDiff'>>, 'TS_OR_DS_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsToDate'>>, 'TS_OR_DS_TO_DATE_STR': <function Parser.<lambda>>, 'TS_OR_DS_TO_DATETIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsToDatetime'>>, 'TS_OR_DS_TO_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsToTime'>>, 'TS_OR_DS_TO_TIMESTAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsToTimestamp'>>, 'UNHEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Unhex'>>, 'UNICODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Unicode'>>, 'UNIX_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixDate'>>, 'UNIX_SECONDS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixSeconds'>>, 'UNIX_TO_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixToStr'>>, 'UNIX_TO_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixToTime'>>, 'UNIX_TO_TIME_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixToTimeStr'>>, 'UNNEST': <function Parser.<lambda>>, 'UPPER': <function build_upper>, 'UCASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Upper'>>, 'UUID': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Uuid'>>, 'GEN_RANDOM_UUID': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Uuid'>>, 'GENERATE_UUID': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Uuid'>>, 'UUID_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Uuid'>>, 'VAR_MAP': <function build_var_map>, 'VARIANCE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VARIANCE_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VAR_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VARIANCE_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.VariancePop'>>, 'VAR_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.VariancePop'>>, 'WEEK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Week'>>, 'WEEK_OF_YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.WeekOfYear'>>, 'WEEKOFYEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.WeekOfYear'>>, 'XMLELEMENT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.XMLElement'>>, 'X_M_L_TABLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.XMLTable'>>, 'XOR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Xor'>>, 'YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Year'>>, 'ARRAYAGG': <function Parser.<lambda>>, 'GLOB': <function Parser.<lambda>>, 'JSON_EXTRACT_PATH_TEXT': <function build_extract_json_with_path.<locals>._builder>, 'LIKE': <function build_like>, 'LOG2': <function Parser.<lambda>>, 'LOG10': <function Parser.<lambda>>, 'LPAD': <function Parser.<lambda>>, 'LEFTPAD': <function Parser.<lambda>>, 'LTRIM': <function Parser.<lambda>>, 'MOD': <function build_mod>, 'RIGHTPAD': <function Parser.<lambda>>, 'RPAD': <function Parser.<lambda>>, 'RTRIM': <function Parser.<lambda>>, 'SCOPE_RESOLUTION': <function Parser.<lambda>>, 'STRPOS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrPosition'>>, 'CHARINDEX': <function Parser.<lambda>>, 'INSTR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrPosition'>>, 'LOCATE': <function Parser.<lambda>>, 'TO_HEX': <function _build_to_hex>, 'CONTAINS_SUBSTR': <function _build_contains_substring>, 'DIV': <function binary_from_function.<locals>.<lambda>>, 'EDIT_DISTANCE': <function _build_levenshtein>, 'FORMAT_DATE': <function _build_format_time.<locals>._builder>, 'GENERATE_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.GenerateSeries'>>, 'JSON_QUERY': <function build_extract_json_with_path.<locals>._builder>, 'JSON_QUERY_ARRAY': <function _build_extract_json_with_default_path.<locals>._builder>, 'JSON_VALUE': <function _build_extract_json_with_default_path.<locals>._builder>, 'JSON_VALUE_ARRAY': <function _build_extract_json_with_default_path.<locals>._builder>, 'PARSE_DATE': <function BigQuery.Parser.<lambda>>, 'PARSE_TIMESTAMP': <function _build_parse_timestamp>, 'REGEXP_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpLike'>>, 'REGEXP_SUBSTR': <function _build_regexp_extract.<locals>._builder>, 'SHA256': <function BigQuery.Parser.<lambda>>, 'SHA512': <function BigQuery.Parser.<lambda>>, 'TIMESTAMP_MICROS': <function BigQuery.Parser.<lambda>>, 'TIMESTAMP_MILLIS': <function BigQuery.Parser.<lambda>>, 'TIMESTAMP_SECONDS': <function BigQuery.Parser.<lambda>>, 'TO_JSON_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONFormat'>>, 'FORMAT_DATETIME': <function _build_format_time.<locals>._builder>, 'FORMAT_TIMESTAMP': <function _build_format_time.<locals>._builder>}
FUNCTION_PARSERS = {'ARG_MAX': <function Parser.<dictcomp>.<lambda>>, 'ARGMAX': <function Parser.<dictcomp>.<lambda>>, 'MAX_BY': <function Parser.<dictcomp>.<lambda>>, 'ARG_MIN': <function Parser.<dictcomp>.<lambda>>, 'ARGMIN': <function Parser.<dictcomp>.<lambda>>, 'MIN_BY': <function Parser.<dictcomp>.<lambda>>, 'CAST': <function Parser.<lambda>>, 'CEIL': <function Parser.<lambda>>, 'CONVERT': <function Parser.<lambda>>, 'DECODE': <function Parser.<lambda>>, 'EXTRACT': <function Parser.<lambda>>, 'FLOOR': <function Parser.<lambda>>, 'GAP_FILL': <function Parser.<lambda>>, 'JSON_OBJECT': <function Parser.<lambda>>, 'JSON_OBJECTAGG': <function Parser.<lambda>>, 'JSON_TABLE': <function Parser.<lambda>>, 'MATCH': <function Parser.<lambda>>, 'NORMALIZE': <function Parser.<lambda>>, 'OPENJSON': <function Parser.<lambda>>, 'OVERLAY': <function Parser.<lambda>>, 'POSITION': <function Parser.<lambda>>, 'PREDICT': <function Parser.<lambda>>, 'SAFE_CAST': <function Parser.<lambda>>, 'STRING_AGG': <function Parser.<lambda>>, 'SUBSTRING': <function Parser.<lambda>>, 'TRY_CAST': <function Parser.<lambda>>, 'TRY_CONVERT': <function Parser.<lambda>>, 'XMLELEMENT': <function Parser.<lambda>>, 'XMLTABLE': <function Parser.<lambda>>, 'ARRAY': <function BigQuery.Parser.<lambda>>, 'MAKE_INTERVAL': <function BigQuery.Parser.<lambda>>, 'FEATURES_AT_TIME': <function BigQuery.Parser.<lambda>>}
NO_PAREN_FUNCTIONS = {<TokenType.CURRENT_DATE: 'CURRENT_DATE'>: <class 'sqlglot.expressions.CurrentDate'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>: <class 'sqlglot.expressions.CurrentDatetime'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>: <class 'sqlglot.expressions.CurrentTime'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>: <class 'sqlglot.expressions.CurrentTimestamp'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>: <class 'sqlglot.expressions.CurrentUser'>}
NESTED_TYPE_TOKENS = {<TokenType.ARRAY: 'ARRAY'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.RANGE: 'RANGE'>, <TokenType.LIST: 'LIST'>, <TokenType.UNION: 'UNION'>, <TokenType.NESTED: 'NESTED'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.TABLE: 'TABLE'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.MAP: 'MAP'>}
PROPERTY_PARSERS = {'ALLOWED_VALUES': <function Parser.<lambda>>, 'ALGORITHM': <function Parser.<lambda>>, 'AUTO': <function Parser.<lambda>>, 'AUTO_INCREMENT': <function Parser.<lambda>>, 'BACKUP': <function Parser.<lambda>>, 'BLOCKCOMPRESSION': <function Parser.<lambda>>, 'CHARSET': <function Parser.<lambda>>, 'CHARACTER SET': <function Parser.<lambda>>, 'CHECKSUM': <function Parser.<lambda>>, 'CLUSTER BY': <function Parser.<lambda>>, 'CLUSTERED': <function Parser.<lambda>>, 'COLLATE': <function Parser.<lambda>>, 'COMMENT': <function Parser.<lambda>>, 'CONTAINS': <function Parser.<lambda>>, 'COPY': <function Parser.<lambda>>, 'DATABLOCKSIZE': <function Parser.<lambda>>, 'DATA_DELETION': <function Parser.<lambda>>, 'DEFINER': <function Parser.<lambda>>, 'DETERMINISTIC': <function Parser.<lambda>>, 'DISTRIBUTED': <function Parser.<lambda>>, 'DUPLICATE': <function Parser.<lambda>>, 'DYNAMIC': <function Parser.<lambda>>, 'DISTKEY': <function Parser.<lambda>>, 'DISTSTYLE': <function Parser.<lambda>>, 'EMPTY': <function Parser.<lambda>>, 'ENGINE': <function Parser.<lambda>>, 'ENVIRONMENT': <function Parser.<lambda>>, 'EXECUTE': <function Parser.<lambda>>, 'EXTERNAL': <function Parser.<lambda>>, 'FALLBACK': <function Parser.<lambda>>, 'FORMAT': <function Parser.<lambda>>, 'FREESPACE': <function Parser.<lambda>>, 'GLOBAL': <function Parser.<lambda>>, 'HEAP': <function Parser.<lambda>>, 'ICEBERG': <function Parser.<lambda>>, 'IMMUTABLE': <function Parser.<lambda>>, 'INHERITS': <function Parser.<lambda>>, 'INPUT': <function Parser.<lambda>>, 'JOURNAL': <function Parser.<lambda>>, 'LANGUAGE': <function Parser.<lambda>>, 'LAYOUT': <function Parser.<lambda>>, 'LIFETIME': <function Parser.<lambda>>, 'LIKE': <function Parser.<lambda>>, 'LOCATION': <function Parser.<lambda>>, 'LOCK': <function Parser.<lambda>>, 'LOCKING': <function Parser.<lambda>>, 'LOG': <function Parser.<lambda>>, 'MATERIALIZED': <function Parser.<lambda>>, 'MERGEBLOCKRATIO': <function Parser.<lambda>>, 'MODIFIES': <function Parser.<lambda>>, 'MULTISET': <function Parser.<lambda>>, 'NO': <function Parser.<lambda>>, 'ON': <function Parser.<lambda>>, 'ORDER BY': <function Parser.<lambda>>, 'OUTPUT': <function Parser.<lambda>>, 'PARTITION': <function Parser.<lambda>>, 'PARTITION BY': <function Parser.<lambda>>, 'PARTITIONED BY': <function Parser.<lambda>>, 'PARTITIONED_BY': <function Parser.<lambda>>, 'PRIMARY KEY': <function Parser.<lambda>>, 'RANGE': <function Parser.<lambda>>, 'READS': <function Parser.<lambda>>, 'REMOTE': <function Parser.<lambda>>, 'RETURNS': <function Parser.<lambda>>, 'STRICT': <function Parser.<lambda>>, 'STREAMING': <function Parser.<lambda>>, 'ROW': <function Parser.<lambda>>, 'ROW_FORMAT': <function Parser.<lambda>>, 'SAMPLE': <function Parser.<lambda>>, 'SECURE': <function Parser.<lambda>>, 'SECURITY': <function Parser.<lambda>>, 'SET': <function Parser.<lambda>>, 'SETTINGS': <function Parser.<lambda>>, 'SHARING': <function Parser.<lambda>>, 'SORTKEY': <function Parser.<lambda>>, 'SOURCE': <function Parser.<lambda>>, 'STABLE': <function Parser.<lambda>>, 'STORED': <function Parser.<lambda>>, 'SYSTEM_VERSIONING': <function Parser.<lambda>>, 'TBLPROPERTIES': <function Parser.<lambda>>, 'TEMP': <function Parser.<lambda>>, 'TEMPORARY': <function Parser.<lambda>>, 'TO': <function Parser.<lambda>>, 'TRANSIENT': <function Parser.<lambda>>, 'TRANSFORM': <function Parser.<lambda>>, 'TTL': <function Parser.<lambda>>, 'USING': <function Parser.<lambda>>, 'UNLOGGED': <function Parser.<lambda>>, 'VOLATILE': <function Parser.<lambda>>, 'WITH': <function Parser.<lambda>>, 'NOT DETERMINISTIC': <function BigQuery.Parser.<lambda>>, 'OPTIONS': <function BigQuery.Parser.<lambda>>}
CONSTRAINT_PARSERS = {'AUTOINCREMENT': <function Parser.<lambda>>, 'AUTO_INCREMENT': <function Parser.<lambda>>, 'CASESPECIFIC': <function Parser.<lambda>>, 'CHARACTER SET': <function Parser.<lambda>>, 'CHECK': <function Parser.<lambda>>, 'COLLATE': <function Parser.<lambda>>, 'COMMENT': <function Parser.<lambda>>, 'COMPRESS': <function Parser.<lambda>>, 'CLUSTERED': <function Parser.<lambda>>, 'NONCLUSTERED': <function Parser.<lambda>>, 'DEFAULT': <function Parser.<lambda>>, 'ENCODE': <function Parser.<lambda>>, 'EPHEMERAL': <function Parser.<lambda>>, 'EXCLUDE': <function Parser.<lambda>>, 'FOREIGN KEY': <function Parser.<lambda>>, 'FORMAT': <function Parser.<lambda>>, 'GENERATED': <function Parser.<lambda>>, 'IDENTITY': <function Parser.<lambda>>, 'INLINE': <function Parser.<lambda>>, 'LIKE': <function Parser.<lambda>>, 'NOT': <function Parser.<lambda>>, 'NULL': <function Parser.<lambda>>, 'ON': <function Parser.<lambda>>, 'PATH': <function Parser.<lambda>>, 'PERIOD': <function Parser.<lambda>>, 'PRIMARY KEY': <function Parser.<lambda>>, 'REFERENCES': <function Parser.<lambda>>, 'TITLE': <function Parser.<lambda>>, 'TTL': <function Parser.<lambda>>, 'UNIQUE': <function Parser.<lambda>>, 'UPPERCASE': <function Parser.<lambda>>, 'WATERMARK': <function Parser.<lambda>>, 'WITH': <function Parser.<lambda>>, 'BUCKET': <function Parser.<lambda>>, 'TRUNCATE': <function Parser.<lambda>>, 'OPTIONS': <function BigQuery.Parser.<lambda>>}
RANGE_PARSERS = {<TokenType.AT_GT: 'AT_GT'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.BETWEEN: 'BETWEEN'>: <function Parser.<lambda>>, <TokenType.GLOB: 'GLOB'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.ILIKE: 'ILIKE'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.IN: 'IN'>: <function Parser.<lambda>>, <TokenType.IRLIKE: 'IRLIKE'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.IS: 'IS'>: <function Parser.<lambda>>, <TokenType.LIKE: 'LIKE'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.LT_AT: 'LT_AT'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.RLIKE: 'RLIKE'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.SIMILAR_TO: 'SIMILAR_TO'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.FOR: 'FOR'>: <function Parser.<lambda>>}
NULL_TOKENS = {<TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.NULL: 'NULL'>}
DASHED_TABLE_PART_FOLLOW_TOKENS = {<TokenType.L_PAREN: 'L_PAREN'>, <TokenType.R_PAREN: 'R_PAREN'>, <TokenType.DOT: 'DOT'>}
STATEMENT_PARSERS = {<TokenType.ALTER: 'ALTER'>: <function Parser.<lambda>>, <TokenType.ANALYZE: 'ANALYZE'>: <function Parser.<lambda>>, <TokenType.BEGIN: 'BEGIN'>: <function Parser.<lambda>>, <TokenType.CACHE: 'CACHE'>: <function Parser.<lambda>>, <TokenType.COMMENT: 'COMMENT'>: <function Parser.<lambda>>, <TokenType.COMMIT: 'COMMIT'>: <function Parser.<lambda>>, <TokenType.COPY: 'COPY'>: <function Parser.<lambda>>, <TokenType.CREATE: 'CREATE'>: <function Parser.<lambda>>, <TokenType.DELETE: 'DELETE'>: <function Parser.<lambda>>, <TokenType.DESC: 'DESC'>: <function Parser.<lambda>>, <TokenType.DESCRIBE: 'DESCRIBE'>: <function Parser.<lambda>>, <TokenType.DROP: 'DROP'>: <function Parser.<lambda>>, <TokenType.GRANT: 'GRANT'>: <function Parser.<lambda>>, <TokenType.INSERT: 'INSERT'>: <function Parser.<lambda>>, <TokenType.KILL: 'KILL'>: <function Parser.<lambda>>, <TokenType.LOAD: 'LOAD'>: <function Parser.<lambda>>, <TokenType.MERGE: 'MERGE'>: <function Parser.<lambda>>, <TokenType.PIVOT: 'PIVOT'>: <function Parser.<lambda>>, <TokenType.PRAGMA: 'PRAGMA'>: <function Parser.<lambda>>, <TokenType.REFRESH: 'REFRESH'>: <function Parser.<lambda>>, <TokenType.ROLLBACK: 'ROLLBACK'>: <function Parser.<lambda>>, <TokenType.SET: 'SET'>: <function Parser.<lambda>>, <TokenType.TRUNCATE: 'TRUNCATE'>: <function Parser.<lambda>>, <TokenType.UNCACHE: 'UNCACHE'>: <function Parser.<lambda>>, <TokenType.UNPIVOT: 'UNPIVOT'>: <function Parser.<lambda>>, <TokenType.UPDATE: 'UPDATE'>: <function Parser.<lambda>>, <TokenType.USE: 'USE'>: <function Parser.<lambda>>, <TokenType.SEMICOLON: 'SEMICOLON'>: <function Parser.<lambda>>, <TokenType.ELSE: 'ELSE'>: <function BigQuery.Parser.<lambda>>, <TokenType.END: 'END'>: <function BigQuery.Parser.<lambda>>, <TokenType.FOR: 'FOR'>: <function BigQuery.Parser.<lambda>>, <TokenType.EXPORT: 'EXPORT'>: <function BigQuery.Parser.<lambda>>}
BRACKET_OFFSETS = {'OFFSET': (0, False), 'ORDINAL': (1, False), 'SAFE_OFFSET': (0, True), 'SAFE_ORDINAL': (1, True)}
ID_VAR_TOKENS = {<TokenType.ROWS: 'ROWS'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.CUBE: 'CUBE'>, <TokenType.INT128: 'INT128'>, <TokenType.INT: 'INT'>, <TokenType.RANGE: 'RANGE'>, <TokenType.ALL: 'ALL'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.NOTHING: 'NOTHING'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.DETACH: 'DETACH'>, <TokenType.TOP: 'TOP'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.BIT: 'BIT'>, <TokenType.BINARY: 'BINARY'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.SOME: 'SOME'>, <TokenType.TIME: 'TIME'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.PUT: 'PUT'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.FALSE: 'FALSE'>, <TokenType.WINDOW: 'WINDOW'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.DELETE: 'DELETE'>, <TokenType.STAGE: 'STAGE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.FIRST: 'FIRST'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.XML: 'XML'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.UINT: 'UINT'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.VAR: 'VAR'>, <TokenType.ASOF: 'ASOF'>, <TokenType.IS: 'IS'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.JSON: 'JSON'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.NEXT: 'NEXT'>, <TokenType.RING: 'RING'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.SET: 'SET'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.IPV6: 'IPV6'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.ANTI: 'ANTI'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.SUPER: 'SUPER'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.TABLE: 'TABLE'>, <TokenType.FILTER: 'FILTER'>, <TokenType.BLOB: 'BLOB'>, <TokenType.TRUE: 'TRUE'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.CASE: 'CASE'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.GET: 'GET'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.LIST: 'LIST'>, <TokenType.NULL: 'NULL'>, <TokenType.FINAL: 'FINAL'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.MONEY: 'MONEY'>, <TokenType.MAP: 'MAP'>, <TokenType.MERGE: 'MERGE'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.UINT128: 'UINT128'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.END: 'END'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.LOAD: 'LOAD'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.YEAR: 'YEAR'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.MODEL: 'MODEL'>, <TokenType.LEFT: 'LEFT'>, <TokenType.TAG: 'TAG'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.ROW: 'ROW'>, <TokenType.UUID: 'UUID'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.SEMI: 'SEMI'>, <TokenType.NATURAL: 'NATURAL'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.RIGHT: 'RIGHT'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.DATE32: 'DATE32'>, <TokenType.FULL: 'FULL'>, <TokenType.INT256: 'INT256'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.VIEW: 'VIEW'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.VOID: 'VOID'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.KILL: 'KILL'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.KEEP: 'KEEP'>, <TokenType.COPY: 'COPY'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.NESTED: 'NESTED'>, <TokenType.CACHE: 'CACHE'>, <TokenType.USE: 'USE'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.IPV4: 'IPV4'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.DESC: 'DESC'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.CHAR: 'CHAR'>, <TokenType.POINT: 'POINT'>, <TokenType.INDEX: 'INDEX'>, <TokenType.DIV: 'DIV'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.JSONB: 'JSONB'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.UINT256: 'UINT256'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.ANY: 'ANY'>, <TokenType.DATE: 'DATE'>, <TokenType.TEXT: 'TEXT'>, <TokenType.APPLY: 'APPLY'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.ASC: 'ASC'>, <TokenType.INET: 'INET'>, <TokenType.NAME: 'NAME'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.ENUM: 'ENUM'>, <TokenType.SHOW: 'SHOW'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.SINK: 'SINK'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.COMMIT: 'COMMIT'>}
TABLE_ALIAS_TOKENS = {<TokenType.ROWS: 'ROWS'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.CUBE: 'CUBE'>, <TokenType.INT128: 'INT128'>, <TokenType.INT: 'INT'>, <TokenType.RANGE: 'RANGE'>, <TokenType.ALL: 'ALL'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.NOTHING: 'NOTHING'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.DETACH: 'DETACH'>, <TokenType.TOP: 'TOP'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.BIT: 'BIT'>, <TokenType.BINARY: 'BINARY'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.SOME: 'SOME'>, <TokenType.TIME: 'TIME'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.PUT: 'PUT'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.FALSE: 'FALSE'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.DELETE: 'DELETE'>, <TokenType.STAGE: 'STAGE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.FIRST: 'FIRST'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.XML: 'XML'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.UINT: 'UINT'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.VAR: 'VAR'>, <TokenType.IS: 'IS'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.JSON: 'JSON'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.NEXT: 'NEXT'>, <TokenType.RING: 'RING'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.SET: 'SET'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.IPV6: 'IPV6'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.SUPER: 'SUPER'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.ANTI: 'ANTI'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.TABLE: 'TABLE'>, <TokenType.FILTER: 'FILTER'>, <TokenType.BLOB: 'BLOB'>, <TokenType.TRUE: 'TRUE'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.CASE: 'CASE'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.GET: 'GET'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.LIST: 'LIST'>, <TokenType.NULL: 'NULL'>, <TokenType.FINAL: 'FINAL'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.MONEY: 'MONEY'>, <TokenType.MAP: 'MAP'>, <TokenType.MERGE: 'MERGE'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.UINT128: 'UINT128'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.END: 'END'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.LOAD: 'LOAD'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.YEAR: 'YEAR'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.MODEL: 'MODEL'>, <TokenType.TAG: 'TAG'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.ROW: 'ROW'>, <TokenType.UUID: 'UUID'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.SEMI: 'SEMI'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.DATE32: 'DATE32'>, <TokenType.INT256: 'INT256'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.VIEW: 'VIEW'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.VOID: 'VOID'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.KILL: 'KILL'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.KEEP: 'KEEP'>, <TokenType.COPY: 'COPY'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.NESTED: 'NESTED'>, <TokenType.CACHE: 'CACHE'>, <TokenType.USE: 'USE'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.IPV4: 'IPV4'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.DESC: 'DESC'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.CHAR: 'CHAR'>, <TokenType.POINT: 'POINT'>, <TokenType.INDEX: 'INDEX'>, <TokenType.DIV: 'DIV'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.JSONB: 'JSONB'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.UINT256: 'UINT256'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.ANY: 'ANY'>, <TokenType.DATE: 'DATE'>, <TokenType.TEXT: 'TEXT'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.ASC: 'ASC'>, <TokenType.INET: 'INET'>, <TokenType.NAME: 'NAME'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.ENUM: 'ENUM'>, <TokenType.SHOW: 'SHOW'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.SINK: 'SINK'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.COMMIT: 'COMMIT'>}
SHOW_TRIE: Dict = {}
SET_TRIE: Dict = {'GLOBAL': {0: True}, 'LOCAL': {0: True}, 'SESSION': {0: True}, 'TRANSACTION': {0: True}}

##### Inherited Members

sqlglot.parser.Parser
  Parser
  STRUCT_TYPE_TOKENS
  ENUM_TYPE_TOKENS
  AGGREGATE_TYPE_TOKENS
  TYPE_TOKENS
  SIGNED_TO_UNSIGNED_TYPE_TOKEN
  SUBQUERY_PREDICATES
  RESERVED_TOKENS
  DB_CREATABLES
  CREATABLES
  ALTERABLES
  ALIAS_TOKENS
  COLON_PLACEHOLDER_TOKENS
  ARRAY_CONSTRUCTORS
  COMMENT_TABLE_ALIAS_TOKENS
  UPDATE_ALIAS_TOKENS
  TRIM_TYPES
  FUNC_TOKENS
  CONJUNCTION
  ASSIGNMENT
  DISJUNCTION
  EQUALITY
  COMPARISON
  BITWISE
  TERM
  FACTOR
  EXPONENT
  TIMES
  TIMESTAMPS
  SET_OPERATIONS
  JOIN_METHODS
  JOIN_SIDES
  JOIN_KINDS
  JOIN_HINTS
  LAMBDAS
  COLUMN_OPERATORS
  EXPRESSION_PARSERS
  UNARY_PARSERS
  STRING_PARSERS
  NUMERIC_PARSERS
  PRIMARY_PARSERS
  PLACEHOLDER_PARSERS
  ALTER_PARSERS
  ALTER_ALTER_PARSERS
  SCHEMA_UNNAMED_CONSTRAINTS
  NO_PAREN_FUNCTION_PARSERS
  INVALID_FUNC_NAME_TOKENS
  FUNCTIONS_WITH_ALIASED_ARGS
  KEY_VALUE_DEFINITIONS
  QUERY_MODIFIER_PARSERS
  SET_PARSERS
  SHOW_PARSERS
  TYPE_LITERAL_PARSERS
  TYPE_CONVERTERS
  DDL_SELECT_TOKENS
  PRE_VOLATILE_TOKENS
  TRANSACTION_KIND
  TRANSACTION_CHARACTERISTICS
  CONFLICT_ACTIONS
  CREATE_SEQUENCE
  ISOLATED_LOADING_OPTIONS
  USABLES
  CAST_ACTIONS
  SCHEMA_BINDING_OPTIONS
  PROCEDURE_OPTIONS
  EXECUTE_AS_OPTIONS
  KEY_CONSTRAINT_OPTIONS
  WINDOW_EXCLUDE_OPTIONS
  INSERT_ALTERNATIVES
  CLONE_KEYWORDS
  HISTORICAL_DATA_PREFIX
  HISTORICAL_DATA_KIND
  OPCLASS_FOLLOW_KEYWORDS
  OPTYPE_FOLLOW_TOKENS
  TABLE_INDEX_HINT_TOKENS
  VIEW_ATTRIBUTES
  WINDOW_ALIAS_TOKENS
  WINDOW_BEFORE_PAREN_TOKENS
  WINDOW_SIDES
  JSON_KEY_VALUE_SEPARATOR_TOKENS
  FETCH_TOKENS
  ADD_CONSTRAINT_TOKENS
  DISTINCT_TOKENS
  UNNEST_OFFSET_ALIAS_TOKENS
  SELECT_START_TOKENS
  COPY_INTO_VARLEN_OPTIONS
  IS_JSON_PREDICATE_KIND
  ODBC_DATETIME_LITERALS
  ON_CONDITION_TOKENS
  PRIVILEGE_FOLLOW_TOKENS
  DESCRIBE_STYLES
  ANALYZE_STYLES
  ANALYZE_EXPRESSION_PARSERS
  PARTITION_KEYWORDS
  AMBIGUOUS_ALIAS_TOKENS
  OPERATION_MODIFIERS
  RECURSIVE_CTE_SEARCH_KIND
  MODIFIABLES
  STRICT_CAST
  IDENTIFY_PIVOT_STRINGS
  ALTER_TABLE_ADD_REQUIRED_FOR_EACH_COLUMN
  TABLESAMPLE_CSV
  DEFAULT_SAMPLING_METHOD
  SET_REQUIRES_ASSIGNMENT_DELIMITER
  TRIM_PATTERN_FIRST
  STRING_ALIASES
  MODIFIERS_ATTACHED_TO_SET_OP
  SET_OP_MODIFIERS
  NO_PAREN_IF_COMMANDS
  JSON_ARROWS_REQUIRE_JSON_TYPE
  COLON_IS_VARIANT_EXTRACT
  VALUES_FOLLOWED_BY_PAREN
  INTERVAL_SPANS
  SUPPORTS_PARTITION_SELECTION
  WRAPPED_TRANSFORM_COLUMN_CONSTRAINT
  OPTIONAL_ALIAS_TOKEN_CTE
  error_level
  error_message_context
  max_errors
  dialect
  reset
  parse
  parse_into
  check_errors
  raise_error
  expression
  validate_expression
  parse_set_operation
  errors
  sql

class BigQuery.Generator(sqlglot.generator.Generator): View Source

     897    class Generator(generator.Generator):
     898        INTERVAL_ALLOWS_PLURAL_FORM = False
     899        JOIN_HINTS = False
     900        QUERY_HINTS = False
     901        TABLE_HINTS = False
     902        LIMIT_FETCH = "LIMIT"
     903        RENAME_TABLE_WITH_DB = False
     904        NVL2_SUPPORTED = False
     905        UNNEST_WITH_ORDINALITY = False
     906        COLLATE_IS_FUNC = True
     907        LIMIT_ONLY_LITERALS = True
     908        SUPPORTS_TABLE_ALIAS_COLUMNS = False
     909        UNPIVOT_ALIASES_ARE_IDENTIFIERS = False
     910        JSON_KEY_VALUE_PAIR_SEP = ","
     911        NULL_ORDERING_SUPPORTED = False
     912        IGNORE_NULLS_IN_FUNC = True
     913        JSON_PATH_SINGLE_QUOTE_ESCAPE = True
     914        CAN_IMPLEMENT_ARRAY_ANY = True
     915        SUPPORTS_TO_NUMBER = False
     916        NAMED_PLACEHOLDER_TOKEN = "@"
     917        HEX_FUNC = "TO_HEX"
     918        WITH_PROPERTIES_PREFIX = "OPTIONS"
     919        SUPPORTS_EXPLODING_PROJECTIONS = False
     920        EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE = False
     921        SUPPORTS_UNIX_SECONDS = True
     922
     923        TRANSFORMS = {
     924            **generator.Generator.TRANSFORMS,
     925            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
     926            exp.ArgMax: arg_max_or_min_no_count("MAX_BY"),
     927            exp.ArgMin: arg_max_or_min_no_count("MIN_BY"),
     928            exp.Array: inline_array_unless_query,
     929            exp.ArrayContains: _array_contains_sql,
     930            exp.ArrayFilter: filter_array_using_unnest,
     931            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
     932            exp.CollateProperty: lambda self, e: (
     933                f"DEFAULT COLLATE {self.sql(e, 'this')}"
     934                if e.args.get("default")
     935                else f"COLLATE {self.sql(e, 'this')}"
     936            ),
     937            exp.Commit: lambda *_: "COMMIT TRANSACTION",
     938            exp.CountIf: rename_func("COUNTIF"),
     939            exp.Create: _create_sql,
     940            exp.CTE: transforms.preprocess([_pushdown_cte_column_names]),
     941            exp.DateAdd: date_add_interval_sql("DATE", "ADD"),
     942            exp.DateDiff: lambda self, e: self.func(
     943                "DATE_DIFF", e.this, e.expression, unit_to_var(e)
     944            ),
     945            exp.DateFromParts: rename_func("DATE"),
     946            exp.DateStrToDate: datestrtodate_sql,
     947            exp.DateSub: date_add_interval_sql("DATE", "SUB"),
     948            exp.DatetimeAdd: date_add_interval_sql("DATETIME", "ADD"),
     949            exp.DatetimeSub: date_add_interval_sql("DATETIME", "SUB"),
     950            exp.DateTrunc: lambda self, e: self.func(
     951                "DATE_TRUNC", e.this, e.text("unit"), e.args.get("zone")
     952            ),
     953            exp.FromTimeZone: lambda self, e: self.func(
     954                "DATETIME", self.func("TIMESTAMP", e.this, e.args.get("zone")), "'UTC'"
     955            ),
     956            exp.GenerateSeries: rename_func("GENERATE_ARRAY"),
     957            exp.GroupConcat: lambda self, e: groupconcat_sql(
     958                self, e, func_name="STRING_AGG", within_group=False
     959            ),
     960            exp.Hex: lambda self, e: self.func("UPPER", self.func("TO_HEX", self.sql(e, "this"))),
     961            exp.HexString: lambda self, e: self.hexstring_sql(e, binary_function_repr="FROM_HEX"),
     962            exp.If: if_sql(false_value="NULL"),
     963            exp.ILike: no_ilike_sql,
     964            exp.IntDiv: rename_func("DIV"),
     965            exp.Int64: rename_func("INT64"),
     966            exp.JSONExtract: _json_extract_sql,
     967            exp.JSONExtractArray: _json_extract_sql,
     968            exp.JSONExtractScalar: _json_extract_sql,
     969            exp.JSONFormat: rename_func("TO_JSON_STRING"),
     970            exp.Levenshtein: _levenshtein_sql,
     971            exp.Max: max_or_greatest,
     972            exp.MD5: lambda self, e: self.func("TO_HEX", self.func("MD5", e.this)),
     973            exp.MD5Digest: rename_func("MD5"),
     974            exp.Min: min_or_least,
     975            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
     976            exp.RegexpExtract: lambda self, e: self.func(
     977                "REGEXP_EXTRACT",
     978                e.this,
     979                e.expression,
     980                e.args.get("position"),
     981                e.args.get("occurrence"),
     982            ),
     983            exp.RegexpExtractAll: lambda self, e: self.func(
     984                "REGEXP_EXTRACT_ALL", e.this, e.expression
     985            ),
     986            exp.RegexpReplace: regexp_replace_sql,
     987            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
     988            exp.ReturnsProperty: _returnsproperty_sql,
     989            exp.Rollback: lambda *_: "ROLLBACK TRANSACTION",
     990            exp.Select: transforms.preprocess(
     991                [
     992                    transforms.explode_projection_to_unnest(),
     993                    transforms.unqualify_unnest,
     994                    transforms.eliminate_distinct_on,
     995                    _alias_ordered_group,
     996                    transforms.eliminate_semi_and_anti_joins,
     997                ]
     998            ),
     999            exp.SHA: rename_func("SHA1"),
    1000            exp.SHA2: sha256_sql,
    1001            exp.StabilityProperty: lambda self, e: (
    1002                "DETERMINISTIC" if e.name == "IMMUTABLE" else "NOT DETERMINISTIC"
    1003            ),
    1004            exp.String: rename_func("STRING"),
    1005            exp.StrPosition: lambda self, e: (
    1006                strposition_sql(
    1007                    self, e, func_name="INSTR", supports_position=True, supports_occurrence=True
    1008                )
    1009            ),
    1010            exp.StrToDate: _str_to_datetime_sql,
    1011            exp.StrToTime: _str_to_datetime_sql,
    1012            exp.TimeAdd: date_add_interval_sql("TIME", "ADD"),
    1013            exp.TimeFromParts: rename_func("TIME"),
    1014            exp.TimestampFromParts: rename_func("DATETIME"),
    1015            exp.TimeSub: date_add_interval_sql("TIME", "SUB"),
    1016            exp.TimestampAdd: date_add_interval_sql("TIMESTAMP", "ADD"),
    1017            exp.TimestampDiff: rename_func("TIMESTAMP_DIFF"),
    1018            exp.TimestampSub: date_add_interval_sql("TIMESTAMP", "SUB"),
    1019            exp.TimeStrToTime: timestrtotime_sql,
    1020            exp.Transaction: lambda *_: "BEGIN TRANSACTION",
    1021            exp.TsOrDsAdd: _ts_or_ds_add_sql,
    1022            exp.TsOrDsDiff: _ts_or_ds_diff_sql,
    1023            exp.TsOrDsToTime: rename_func("TIME"),
    1024            exp.TsOrDsToDatetime: rename_func("DATETIME"),
    1025            exp.TsOrDsToTimestamp: rename_func("TIMESTAMP"),
    1026            exp.Unhex: rename_func("FROM_HEX"),
    1027            exp.UnixDate: rename_func("UNIX_DATE"),
    1028            exp.UnixToTime: _unix_to_time_sql,
    1029            exp.Uuid: lambda *_: "GENERATE_UUID()",
    1030            exp.Values: _derived_table_values_to_unnest,
    1031            exp.VariancePop: rename_func("VAR_POP"),
    1032            exp.SafeDivide: rename_func("SAFE_DIVIDE"),
    1033        }
    1034
    1035        SUPPORTED_JSON_PATH_PARTS = {
    1036            exp.JSONPathKey,
    1037            exp.JSONPathRoot,
    1038            exp.JSONPathSubscript,
    1039        }
    1040
    1041        TYPE_MAPPING = {
    1042            **generator.Generator.TYPE_MAPPING,
    1043            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
    1044            exp.DataType.Type.BIGINT: "INT64",
    1045            exp.DataType.Type.BINARY: "BYTES",
    1046            exp.DataType.Type.BLOB: "BYTES",
    1047            exp.DataType.Type.BOOLEAN: "BOOL",
    1048            exp.DataType.Type.CHAR: "STRING",
    1049            exp.DataType.Type.DECIMAL: "NUMERIC",
    1050            exp.DataType.Type.DOUBLE: "FLOAT64",
    1051            exp.DataType.Type.FLOAT: "FLOAT64",
    1052            exp.DataType.Type.INT: "INT64",
    1053            exp.DataType.Type.NCHAR: "STRING",
    1054            exp.DataType.Type.NVARCHAR: "STRING",
    1055            exp.DataType.Type.SMALLINT: "INT64",
    1056            exp.DataType.Type.TEXT: "STRING",
    1057            exp.DataType.Type.TIMESTAMP: "DATETIME",
    1058            exp.DataType.Type.TIMESTAMPNTZ: "DATETIME",
    1059            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
    1060            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
    1061            exp.DataType.Type.TINYINT: "INT64",
    1062            exp.DataType.Type.ROWVERSION: "BYTES",
    1063            exp.DataType.Type.UUID: "STRING",
    1064            exp.DataType.Type.VARBINARY: "BYTES",
    1065            exp.DataType.Type.VARCHAR: "STRING",
    1066            exp.DataType.Type.VARIANT: "ANY TYPE",
    1067        }
    1068
    1069        PROPERTIES_LOCATION = {
    1070            **generator.Generator.PROPERTIES_LOCATION,
    1071            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
    1072            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
    1073        }
    1074
    1075        # WINDOW comes after QUALIFY
    1076        # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#window_clause
    1077        AFTER_HAVING_MODIFIER_TRANSFORMS = {
    1078            "qualify": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["qualify"],
    1079            "windows": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["windows"],
    1080        }
    1081
    1082        # from: https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#reserved_keywords
    1083        RESERVED_KEYWORDS = {
    1084            "all",
    1085            "and",
    1086            "any",
    1087            "array",
    1088            "as",
    1089            "asc",
    1090            "assert_rows_modified",
    1091            "at",
    1092            "between",
    1093            "by",
    1094            "case",
    1095            "cast",
    1096            "collate",
    1097            "contains",
    1098            "create",
    1099            "cross",
    1100            "cube",
    1101            "current",
    1102            "default",
    1103            "define",
    1104            "desc",
    1105            "distinct",
    1106            "else",
    1107            "end",
    1108            "enum",
    1109            "escape",
    1110            "except",
    1111            "exclude",
    1112            "exists",
    1113            "extract",
    1114            "false",
    1115            "fetch",
    1116            "following",
    1117            "for",
    1118            "from",
    1119            "full",
    1120            "group",
    1121            "grouping",
    1122            "groups",
    1123            "hash",
    1124            "having",
    1125            "if",
    1126            "ignore",
    1127            "in",
    1128            "inner",
    1129            "intersect",
    1130            "interval",
    1131            "into",
    1132            "is",
    1133            "join",
    1134            "lateral",
    1135            "left",
    1136            "like",
    1137            "limit",
    1138            "lookup",
    1139            "merge",
    1140            "natural",
    1141            "new",
    1142            "no",
    1143            "not",
    1144            "null",
    1145            "nulls",
    1146            "of",
    1147            "on",
    1148            "or",
    1149            "order",
    1150            "outer",
    1151            "over",
    1152            "partition",
    1153            "preceding",
    1154            "proto",
    1155            "qualify",
    1156            "range",
    1157            "recursive",
    1158            "respect",
    1159            "right",
    1160            "rollup",
    1161            "rows",
    1162            "select",
    1163            "set",
    1164            "some",
    1165            "struct",
    1166            "tablesample",
    1167            "then",
    1168            "to",
    1169            "treat",
    1170            "true",
    1171            "unbounded",
    1172            "union",
    1173            "unnest",
    1174            "using",
    1175            "when",
    1176            "where",
    1177            "window",
    1178            "with",
    1179            "within",
    1180        }
    1181
    1182        def mod_sql(self, expression: exp.Mod) -> str:
    1183            this = expression.this
    1184            expr = expression.expression
    1185            return self.func(
    1186                "MOD",
    1187                this.unnest() if isinstance(this, exp.Paren) else this,
    1188                expr.unnest() if isinstance(expr, exp.Paren) else expr,
    1189            )
    1190
    1191        def column_parts(self, expression: exp.Column) -> str:
    1192            if expression.meta.get("quoted_column"):
    1193                # If a column reference is of the form `dataset.table`.name, we need
    1194                # to preserve the quoted table path, otherwise the reference breaks
    1195                table_parts = ".".join(p.name for p in expression.parts[:-1])
    1196                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
    1197                return f"{table_path}.{self.sql(expression, 'this')}"
    1198
    1199            return super().column_parts(expression)
    1200
    1201        def table_parts(self, expression: exp.Table) -> str:
    1202            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
    1203            # we need to make sure the correct quoting is used in each case.
    1204            #
    1205            # For example, if there is a CTE x that clashes with a schema name, then the former will
    1206            # return the table y in that schema, whereas the latter will return the CTE's y column:
    1207            #
    1208            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
    1209            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
    1210            if expression.meta.get("quoted_table"):
    1211                table_parts = ".".join(p.name for p in expression.parts)
    1212                return self.sql(exp.Identifier(this=table_parts, quoted=True))
    1213
    1214            return super().table_parts(expression)
    1215
    1216        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
    1217            this = expression.this
    1218            if isinstance(this, exp.TsOrDsToDatetime):
    1219                func_name = "FORMAT_DATETIME"
    1220            elif isinstance(this, exp.TsOrDsToTimestamp):
    1221                func_name = "FORMAT_TIMESTAMP"
    1222            else:
    1223                func_name = "FORMAT_DATE"
    1224
    1225            time_expr = (
    1226                this
    1227                if isinstance(this, (exp.TsOrDsToDatetime, exp.TsOrDsToTimestamp, exp.TsOrDsToDate))
    1228                else expression
    1229            )
    1230            return self.func(
    1231                func_name, self.format_time(expression), time_expr.this, expression.args.get("zone")
    1232            )
    1233
    1234        def eq_sql(self, expression: exp.EQ) -> str:
    1235            # Operands of = cannot be NULL in BigQuery
    1236            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
    1237                if not isinstance(expression.parent, exp.Update):
    1238                    return "NULL"
    1239
    1240            return self.binary(expression, "=")
    1241
    1242        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
    1243            parent = expression.parent
    1244
    1245            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
    1246            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
    1247            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
    1248                return self.func(
    1249                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
    1250                )
    1251
    1252            return super().attimezone_sql(expression)
    1253
    1254        def trycast_sql(self, expression: exp.TryCast) -> str:
    1255            return self.cast_sql(expression, safe_prefix="SAFE_")
    1256
    1257        def bracket_sql(self, expression: exp.Bracket) -> str:
    1258            this = expression.this
    1259            expressions = expression.expressions
    1260
    1261            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
    1262                arg = expressions[0]
    1263                if arg.type is None:
    1264                    from sqlglot.optimizer.annotate_types import annotate_types
    1265
    1266                    arg = annotate_types(arg, dialect=self.dialect)
    1267
    1268                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
    1269                    # BQ doesn't support bracket syntax with string values for structs
    1270                    return f"{self.sql(this)}.{arg.name}"
    1271
    1272            expressions_sql = self.expressions(expression, flat=True)
    1273            offset = expression.args.get("offset")
    1274
    1275            if offset == 0:
    1276                expressions_sql = f"OFFSET({expressions_sql})"
    1277            elif offset == 1:
    1278                expressions_sql = f"ORDINAL({expressions_sql})"
    1279            elif offset is not None:
    1280                self.unsupported(f"Unsupported array offset: {offset}")
    1281
    1282            if expression.args.get("safe"):
    1283                expressions_sql = f"SAFE_{expressions_sql}"
    1284
    1285            return f"{self.sql(this)}[{expressions_sql}]"
    1286
    1287        def in_unnest_op(self, expression: exp.Unnest) -> str:
    1288            return self.sql(expression)
    1289
    1290        def version_sql(self, expression: exp.Version) -> str:
    1291            if expression.name == "TIMESTAMP":
    1292                expression.set("this", "SYSTEM_TIME")
    1293            return super().version_sql(expression)
    1294
    1295        def contains_sql(self, expression: exp.Contains) -> str:
    1296            this = expression.this
    1297            expr = expression.expression
    1298
    1299            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
    1300                this = this.this
    1301                expr = expr.this
    1302
    1303            return self.func("CONTAINS_SUBSTR", this, expr)
    1304
    1305        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
    1306            this = expression.this
    1307
    1308            # This ensures that inline type-annotated ARRAY literals like ARRAY<INT64>[1, 2, 3]
    1309            # are roundtripped unaffected. The inner check excludes ARRAY(SELECT ...) expressions,
    1310            # because they aren't literals and so the above syntax is invalid BigQuery.
    1311            if isinstance(this, exp.Array):
    1312                elem = seq_get(this.expressions, 0)
    1313                if not (elem and elem.find(exp.Query)):
    1314                    return f"{self.sql(expression, 'to')}{self.sql(this)}"
    1315
    1316            return super().cast_sql(expression, safe_prefix=safe_prefix)

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

###### Arguments:

- pretty: Whether to format the produced SQL string. Default: False.
- identify: Determines when an identifier should be quoted. Possible values are: False (default): Never quote, except in cases where it's mandatory by the dialect. True or 'always': Always quote. 'safe': Only quote identifiers that are case insensitive.
- normalize: Whether to normalize identifiers to lowercase. Default: False.
- pad: The pad size in a formatted string. For example, this affects the indentation of a projection in a query, relative to its nesting level. Default: 2.
- indent: The indentation size in a formatted string. For example, this affects the indentation of subqueries and filters under a `WHERE` clause. Default: 2.
- normalize_functions: How to normalize function names. Possible values are: "upper" or True (default): Convert names to uppercase. "lower": Convert names to lowercase. False: Disables function name normalization.
- unsupported_level: Determines the generator's behavior when it encounters unsupported expressions. Default ErrorLevel.WARN.
- max_unsupported: Maximum number of unsupported messages to include in a raised UnsupportedError. This is only relevant if unsupported_level is ErrorLevel.RAISE. Default: 3
- leading_comma: Whether the comma is leading or trailing in select expressions. This is only relevant when generating in pretty mode. Default: False
- max_text_width: The max number of characters in a segment before creating new lines in pretty mode. The default is on the smaller end because the length only represents a segment and not the true line length. Default: 80
- comments: Whether to preserve comments in the output SQL code. Default: True

INTERVAL_ALLOWS_PLURAL_FORM = False
JOIN_HINTS = False
QUERY_HINTS = False
TABLE_HINTS = False
LIMIT_FETCH = 'LIMIT'
RENAME_TABLE_WITH_DB = False
NVL2_SUPPORTED = False
UNNEST_WITH_ORDINALITY = False
COLLATE_IS_FUNC = True
LIMIT_ONLY_LITERALS = True
SUPPORTS_TABLE_ALIAS_COLUMNS = False
UNPIVOT_ALIASES_ARE_IDENTIFIERS = False
JSON_KEY_VALUE_PAIR_SEP = ','
NULL_ORDERING_SUPPORTED = False
IGNORE_NULLS_IN_FUNC = True
JSON_PATH_SINGLE_QUOTE_ESCAPE = True
CAN_IMPLEMENT_ARRAY_ANY = True
SUPPORTS_TO_NUMBER = False
NAMED_PLACEHOLDER_TOKEN = '@'
HEX_FUNC = 'TO_HEX'
WITH_PROPERTIES_PREFIX = 'OPTIONS'
SUPPORTS_EXPLODING_PROJECTIONS = False
EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE = False
SUPPORTS_UNIX_SECONDS = True
TRANSFORMS = {<class 'sqlglot.expressions.JSONPathKey'>: <function <lambda>>, <class 'sqlglot.expressions.JSONPathRoot'>: <function <lambda>>, <class 'sqlglot.expressions.JSONPathSubscript'>: <function <lambda>>, <class 'sqlglot.expressions.AllowedValuesProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.AnalyzeColumns'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.AnalyzeWith'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ArrayContainsAll'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ArrayOverlaps'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.AutoRefreshProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.BackupProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CaseSpecificColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Ceil'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CharacterSetColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CharacterSetProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ClusteredColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CollateColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CommentColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ConnectByRoot'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ConvertToCharset'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CopyGrantsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CredentialsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DateFormatColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DefaultColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DynamicProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EmptyProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EncodeColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EnviromentProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EphemeralColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExcludeColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExecuteAsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Except'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExternalProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Floor'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Get'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.GlobalProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.HeapProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.IcebergProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InheritsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InlineLengthColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InputModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Intersect'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.IntervalSpan'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Int64'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.LanguageProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.LocationProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.LogProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.MaterializedProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.NonClusteredColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.NoPrimaryIndexProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.NotForReplicationColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnCommitProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnUpdateColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Operator'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OutputModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PathColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PartitionedByBucket'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PartitionByTruncate'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PivotAny'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ProjectionPolicyColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Put'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.RemoteWithConnectionModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ReturnsProperty'>: <function _returnsproperty_sql>, <class 'sqlglot.expressions.SampleProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SecureProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SecurityProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SetConfigProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SetProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SettingsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SharingProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SqlReadWriteProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SqlSecurityProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StabilityProperty'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.Stream'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StreamingTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StrictProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SwapTable'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Tags'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TemporaryProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TitleColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ToMap'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ToTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TransformModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TransientProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Union'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UnloggedProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UsingTemplateProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UsingData'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Uuid'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.UppercaseColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.VarMap'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ViewAttributeProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.VolatileProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithJournalTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithProcedureOptions'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithSchemaBindingProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithOperator'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ForceProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ApproxDistinct'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.ArgMax'>: <function arg_max_or_min_no_count.<locals>._arg_max_or_min_sql>, <class 'sqlglot.expressions.ArgMin'>: <function arg_max_or_min_no_count.<locals>._arg_max_or_min_sql>, <class 'sqlglot.expressions.Array'>: <function inline_array_unless_query>, <class 'sqlglot.expressions.ArrayContains'>: <function _array_contains_sql>, <class 'sqlglot.expressions.ArrayFilter'>: <function filter_array_using_unnest>, <class 'sqlglot.expressions.Cast'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.CollateProperty'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.Commit'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.CountIf'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Create'>: <function _create_sql>, <class 'sqlglot.expressions.CTE'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.DateAdd'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.DateDiff'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.DateFromParts'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DateStrToDate'>: <function datestrtodate_sql>, <class 'sqlglot.expressions.DateSub'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.DatetimeAdd'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.DatetimeSub'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.DateTrunc'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.FromTimeZone'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.GenerateSeries'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.GroupConcat'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.Hex'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.HexString'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.If'>: <function if_sql.<locals>._if_sql>, <class 'sqlglot.expressions.ILike'>: <function no_ilike_sql>, <class 'sqlglot.expressions.IntDiv'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONExtract'>: <function _json_extract_sql>, <class 'sqlglot.expressions.JSONExtractArray'>: <function _json_extract_sql>, <class 'sqlglot.expressions.JSONExtractScalar'>: <function _json_extract_sql>, <class 'sqlglot.expressions.JSONFormat'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Levenshtein'>: <function _levenshtein_sql>, <class 'sqlglot.expressions.Max'>: <function max_or_greatest>, <class 'sqlglot.expressions.MD5'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.MD5Digest'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Min'>: <function min_or_least>, <class 'sqlglot.expressions.PartitionedByProperty'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.RegexpExtract'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.RegexpExtractAll'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.RegexpReplace'>: <function regexp_replace_sql>, <class 'sqlglot.expressions.RegexpLike'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Rollback'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.Select'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.SHA'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.SHA2'>: <function sha256_sql>, <class 'sqlglot.expressions.String'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.StrPosition'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.StrToDate'>: <function _str_to_datetime_sql>, <class 'sqlglot.expressions.StrToTime'>: <function _str_to_datetime_sql>, <class 'sqlglot.expressions.TimeAdd'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.TimeFromParts'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampFromParts'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeSub'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.TimestampAdd'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.TimestampDiff'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampSub'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.TimeStrToTime'>: <function timestrtotime_sql>, <class 'sqlglot.expressions.Transaction'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.TsOrDsAdd'>: <function _ts_or_ds_add_sql>, <class 'sqlglot.expressions.TsOrDsDiff'>: <function _ts_or_ds_diff_sql>, <class 'sqlglot.expressions.TsOrDsToTime'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDatetime'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToTimestamp'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Unhex'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixDate'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTime'>: <function _unix_to_time_sql>, <class 'sqlglot.expressions.Values'>: <function _derived_table_values_to_unnest>, <class 'sqlglot.expressions.VariancePop'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.SafeDivide'>: <function rename_func.<locals>.<lambda>>}
SUPPORTED_JSON_PATH_PARTS = {<class 'sqlglot.expressions.JSONPathSubscript'>, <class 'sqlglot.expressions.JSONPathRoot'>, <class 'sqlglot.expressions.JSONPathKey'>}
TYPE_MAPPING = {<Type.DATETIME2: 'DATETIME2'>: 'TIMESTAMP', <Type.NCHAR: 'NCHAR'>: 'STRING', <Type.NVARCHAR: 'NVARCHAR'>: 'STRING', <Type.MEDIUMTEXT: 'MEDIUMTEXT'>: 'TEXT', <Type.LONGTEXT: 'LONGTEXT'>: 'TEXT', <Type.TINYTEXT: 'TINYTEXT'>: 'TEXT', <Type.BLOB: 'BLOB'>: 'BYTES', <Type.MEDIUMBLOB: 'MEDIUMBLOB'>: 'BLOB', <Type.LONGBLOB: 'LONGBLOB'>: 'BLOB', <Type.TINYBLOB: 'TINYBLOB'>: 'BLOB', <Type.INET: 'INET'>: 'INET', <Type.ROWVERSION: 'ROWVERSION'>: 'BYTES', <Type.SMALLDATETIME: 'SMALLDATETIME'>: 'TIMESTAMP', <Type.BIGDECIMAL: 'BIGDECIMAL'>: 'BIGNUMERIC', <Type.BIGINT: 'BIGINT'>: 'INT64', <Type.BINARY: 'BINARY'>: 'BYTES', <Type.BOOLEAN: 'BOOLEAN'>: 'BOOL', <Type.CHAR: 'CHAR'>: 'STRING', <Type.DECIMAL: 'DECIMAL'>: 'NUMERIC', <Type.DOUBLE: 'DOUBLE'>: 'FLOAT64', <Type.FLOAT: 'FLOAT'>: 'FLOAT64', <Type.INT: 'INT'>: 'INT64', <Type.SMALLINT: 'SMALLINT'>: 'INT64', <Type.TEXT: 'TEXT'>: 'STRING', <Type.TIMESTAMP: 'TIMESTAMP'>: 'DATETIME', <Type.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>: 'DATETIME', <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>: 'TIMESTAMP', <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>: 'TIMESTAMP', <Type.TINYINT: 'TINYINT'>: 'INT64', <Type.UUID: 'UUID'>: 'STRING', <Type.VARBINARY: 'VARBINARY'>: 'BYTES', <Type.VARCHAR: 'VARCHAR'>: 'STRING', <Type.VARIANT: 'VARIANT'>: 'ANY TYPE'}
PROPERTIES_LOCATION = {<class 'sqlglot.expressions.AllowedValuesProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.AlgorithmProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.AutoIncrementProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.AutoRefreshProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.BackupProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.BlockCompressionProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.CharacterSetProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ChecksumProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.CollateProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.CopyGrantsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Cluster'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ClusteredByProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DistributedByProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DuplicateKeyProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DataBlocksizeProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.DataDeletionProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DefinerProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.DictRange'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DictProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DynamicProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.DistKeyProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DistStyleProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.EmptyProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.EncodeProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.EngineProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.EnviromentProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ExecuteAsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ExternalProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.FallbackProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.FileFormatProperty'>: <Location.POST_WITH: 'POST_WITH'>, <class 'sqlglot.expressions.FreespaceProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.GlobalProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.HeapProperty'>: <Location.POST_WITH: 'POST_WITH'>, <class 'sqlglot.expressions.InheritsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.IcebergProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.IncludeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.InputModelProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.IsolatedLoadingProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.JournalProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.LanguageProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LikeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LocationProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LockProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LockingProperty'>: <Location.POST_ALIAS: 'POST_ALIAS'>, <class 'sqlglot.expressions.LogProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.MaterializedProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.MergeBlockRatioProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.NoPrimaryIndexProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.OnProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.OnCommitProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.Order'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.OutputModelProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.PartitionedByProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.PartitionedOfProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.PrimaryKey'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Property'>: <Location.POST_WITH: 'POST_WITH'>, <class 'sqlglot.expressions.RemoteWithConnectionModelProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ReturnsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.RowFormatProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.RowFormatDelimitedProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.RowFormatSerdeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SampleProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SchemaCommentProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SecureProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.SecurityProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SerdeProperties'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Set'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SettingsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SetProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.SetConfigProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SharingProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.SequenceProperties'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.SortKeyProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SqlReadWriteProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SqlSecurityProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.StabilityProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.StorageHandlerProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.StreamingTableProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.StrictProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Tags'>: <Location.POST_WITH: 'POST_WITH'>, <class 'sqlglot.expressions.TemporaryProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.ToTableProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.TransientProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.TransformModelProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.MergeTreeTTL'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.UnloggedProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.UsingTemplateProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ViewAttributeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.VolatileProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.WithDataProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.WithJournalTableProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.WithProcedureOptions'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.WithSchemaBindingProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.WithSystemVersioningProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ForceProperty'>: <Location.POST_CREATE: 'POST_CREATE'>}
AFTER_HAVING_MODIFIER_TRANSFORMS = {'qualify': <function Generator.<lambda>>, 'windows': <function Generator.<lambda>>}
RESERVED_KEYWORDS = {'not', 'preceding', 'recursive', 'into', 'define', 'then', 'cube', 'some', 'asc', 'false', 'if', 'where', 'all', 'join', 'assert_rows_modified', 'having', 'using', 'proto', 'default', 'merge', 'distinct', 'within', 'limit', 'in', 'with', 'between', 'enum', 'hash', 'group', 'extract', 'nulls', 'cross', 'ignore', 'on', 'window', 'right', 'fetch', 'qualify', 'as', 'true', 'tablesample', 'unnest', 'is', 'rows', 'cast', 'by', 'treat', 'array', 'or', 'from', 'current', 'escape', 'partition', 'desc', 'set', 'exclude', 'like', 'union', 'new', 'null', 'of', 'full', 'and', 'at', 'interval', 'groups', 'end', 'when', 'else', 'inner', 'range', 'any', 'contains', 'grouping', 'case', 'intersect', 'create', 'order', 'left', 'no', 'select', 'unbounded', 'except', 'respect', 'collate', 'to', 'following', 'lookup', 'over', 'natural', 'struct', 'lateral', 'for', 'outer', 'rollup', 'exists'}
def mod_sql(self, expression: sqlglot.expressions.Mod) -> str: View Source

    1182        def mod_sql(self, expression: exp.Mod) -> str:
    1183            this = expression.this
    1184            expr = expression.expression
    1185            return self.func(
    1186                "MOD",
    1187                this.unnest() if isinstance(this, exp.Paren) else this,
    1188                expr.unnest() if isinstance(expr, exp.Paren) else expr,
    1189            )

def column_parts(self, expression: sqlglot.expressions.Column) -> str: View Source

    1191        def column_parts(self, expression: exp.Column) -> str:
    1192            if expression.meta.get("quoted_column"):
    1193                # If a column reference is of the form `dataset.table`.name, we need
    1194                # to preserve the quoted table path, otherwise the reference breaks
    1195                table_parts = ".".join(p.name for p in expression.parts[:-1])
    1196                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
    1197                return f"{table_path}.{self.sql(expression, 'this')}"
    1198
    1199            return super().column_parts(expression)

def table_parts(self, expression: sqlglot.expressions.Table) -> str: View Source

    1201        def table_parts(self, expression: exp.Table) -> str:
    1202            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
    1203            # we need to make sure the correct quoting is used in each case.
    1204            #
    1205            # For example, if there is a CTE x that clashes with a schema name, then the former will
    1206            # return the table y in that schema, whereas the latter will return the CTE's y column:
    1207            #
    1208            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
    1209            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
    1210            if expression.meta.get("quoted_table"):
    1211                table_parts = ".".join(p.name for p in expression.parts)
    1212                return self.sql(exp.Identifier(this=table_parts, quoted=True))
    1213
    1214            return super().table_parts(expression)

def timetostr_sql(self, expression: sqlglot.expressions.TimeToStr) -> str: View Source

    1216        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
    1217            this = expression.this
    1218            if isinstance(this, exp.TsOrDsToDatetime):
    1219                func_name = "FORMAT_DATETIME"
    1220            elif isinstance(this, exp.TsOrDsToTimestamp):
    1221                func_name = "FORMAT_TIMESTAMP"
    1222            else:
    1223                func_name = "FORMAT_DATE"
    1224
    1225            time_expr = (
    1226                this
    1227                if isinstance(this, (exp.TsOrDsToDatetime, exp.TsOrDsToTimestamp, exp.TsOrDsToDate))
    1228                else expression
    1229            )
    1230            return self.func(
    1231                func_name, self.format_time(expression), time_expr.this, expression.args.get("zone")
    1232            )

def eq_sql(self, expression: sqlglot.expressions.EQ) -> str: View Source

    1234        def eq_sql(self, expression: exp.EQ) -> str:
    1235            # Operands of = cannot be NULL in BigQuery
    1236            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
    1237                if not isinstance(expression.parent, exp.Update):
    1238                    return "NULL"
    1239
    1240            return self.binary(expression, "=")

def attimezone_sql(self, expression: sqlglot.expressions.AtTimeZone) -> str: View Source

    1242        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
    1243            parent = expression.parent
    1244
    1245            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
    1246            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
    1247            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
    1248                return self.func(
    1249                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
    1250                )
    1251
    1252            return super().attimezone_sql(expression)

def trycast_sql(self, expression: sqlglot.expressions.TryCast) -> str: View Source

    1254        def trycast_sql(self, expression: exp.TryCast) -> str:
    1255            return self.cast_sql(expression, safe_prefix="SAFE_")

def bracket_sql(self, expression: sqlglot.expressions.Bracket) -> str: View Source

    1257        def bracket_sql(self, expression: exp.Bracket) -> str:
    1258            this = expression.this
    1259            expressions = expression.expressions
    1260
    1261            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
    1262                arg = expressions[0]
    1263                if arg.type is None:
    1264                    from sqlglot.optimizer.annotate_types import annotate_types
    1265
    1266                    arg = annotate_types(arg, dialect=self.dialect)
    1267
    1268                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
    1269                    # BQ doesn't support bracket syntax with string values for structs
    1270                    return f"{self.sql(this)}.{arg.name}"
    1271
    1272            expressions_sql = self.expressions(expression, flat=True)
    1273            offset = expression.args.get("offset")
    1274
    1275            if offset == 0:
    1276                expressions_sql = f"OFFSET({expressions_sql})"
    1277            elif offset == 1:
    1278                expressions_sql = f"ORDINAL({expressions_sql})"
    1279            elif offset is not None:
    1280                self.unsupported(f"Unsupported array offset: {offset}")
    1281
    1282            if expression.args.get("safe"):
    1283                expressions_sql = f"SAFE_{expressions_sql}"
    1284
    1285            return f"{self.sql(this)}[{expressions_sql}]"

def in_unnest_op(self, expression: sqlglot.expressions.Unnest) -> str: View Source

    1287        def in_unnest_op(self, expression: exp.Unnest) -> str:
    1288            return self.sql(expression)

def version_sql(self, expression: sqlglot.expressions.Version) -> str: View Source

    1290        def version_sql(self, expression: exp.Version) -> str:
    1291            if expression.name == "TIMESTAMP":
    1292                expression.set("this", "SYSTEM_TIME")
    1293            return super().version_sql(expression)

def contains_sql(self, expression: sqlglot.expressions.Contains) -> str: View Source

    1295        def contains_sql(self, expression: exp.Contains) -> str:
    1296            this = expression.this
    1297            expr = expression.expression
    1298
    1299            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
    1300                this = this.this
    1301                expr = expr.this
    1302
    1303            return self.func("CONTAINS_SUBSTR", this, expr)

def cast_sql( self, expression: sqlglot.expressions.Cast, safe_prefix: Optional[str] = None) -> str: View Source

    1305        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
    1306            this = expression.this
    1307
    1308            # This ensures that inline type-annotated ARRAY literals like ARRAY<INT64>[1, 2, 3]
    1309            # are roundtripped unaffected. The inner check excludes ARRAY(SELECT ...) expressions,
    1310            # because they aren't literals and so the above syntax is invalid BigQuery.
    1311            if isinstance(this, exp.Array):
    1312                elem = seq_get(this.expressions, 0)
    1313                if not (elem and elem.find(exp.Query)):
    1314                    return f"{self.sql(expression, 'to')}{self.sql(this)}"
    1315
    1316            return super().cast_sql(expression, safe_prefix=safe_prefix)

TRY_SUPPORTED = False
SUPPORTS_UESCAPE = False

##### Inherited Members

sqlglot.generator.Generator
  Generator
  LOCKING_READS_SUPPORTED
  WRAP_DERIVED_VALUES
  CREATE_FUNCTION_RETURN_AS
  MATCHED_BY_SOURCE
  SINGLE_STRING_INTERVAL
  GROUPINGS_SEP
  INDEX_ON
  QUERY_HINT_SEP
  IS_BOOL_ALLOWED
  DUPLICATE_KEY_UPDATE_WITH_SET
  LIMIT_IS_TOP
  RETURNING_END
  EXTRACT_ALLOWS_QUOTES
  TZ_TO_WITH_TIME_ZONE
  SELECT_KINDS
  VALUES_AS_TABLE
  ALTER_TABLE_INCLUDE_COLUMN_KEYWORD
  AGGREGATE_FILTER_SUPPORTED
  SEMI_ANTI_JOIN_WITH_SIDE
  COMPUTED_COLUMN_WITH_TYPE
  SUPPORTS_TABLE_COPY
  TABLESAMPLE_REQUIRES_PARENS
  TABLESAMPLE_SIZE_IS_ROWS
  TABLESAMPLE_KEYWORDS
  TABLESAMPLE_WITH_METHOD
  TABLESAMPLE_SEED_KEYWORD
  DATA_TYPE_SPECIFIERS_ALLOWED
  ENSURE_BOOLS
  CTE_RECURSIVE_KEYWORD_REQUIRED
  SUPPORTS_SINGLE_ARG_CONCAT
  LAST_DAY_SUPPORTS_DATE_PART
  INSERT_OVERWRITE
  SUPPORTS_SELECT_INTO
  SUPPORTS_UNLOGGED_TABLES
  SUPPORTS_CREATE_TABLE_LIKE
  LIKE_PROPERTY_INSIDE_SCHEMA
  MULTI_ARG_DISTINCT
  JSON_TYPE_REQUIRED_FOR_EXTRACTION
  JSON_PATH_BRACKETED_KEY_SUPPORTED
  SUPPORTS_WINDOW_EXCLUDE
  SET_OP_MODIFIERS
  COPY_PARAMS_ARE_WRAPPED
  COPY_PARAMS_EQ_REQUIRED
  COPY_HAS_INTO_KEYWORD
  STAR_EXCEPT
  QUOTE_JSON_PATH
  PAD_FILL_PATTERN_IS_REQUIRED
  ARRAY_CONCAT_IS_VAR_LEN
  SUPPORTS_CONVERT_TIMEZONE
  SUPPORTS_MEDIAN
  PARSE_JSON_NAME
  ARRAY_SIZE_NAME
  ALTER_SET_TYPE
  ARRAY_SIZE_DIM_REQUIRED
  TIME_PART_SINGULARS
  TOKEN_MAPPING
  STRUCT_DELIMITER
  PARAMETER_TOKEN
  EXPRESSION_PRECEDES_PROPERTIES_CREATABLES
  WITH_SEPARATED_COMMENTS
  EXCLUDE_COMMENTS
  UNWRAPPED_INTERVAL_VALUES
  PARAMETERIZABLE_TEXT_TYPES
  EXPRESSIONS_WITHOUT_NESTED_CTES
  SENTINEL_LINE_BREAK
  pretty
  identify
  normalize
  pad
  unsupported_level
  max_unsupported
  leading_comma
  max_text_width
  comments
  dialect
  normalize_functions
  unsupported_messages
  generate
  preprocess
  unsupported
  sep
  seg
  pad_comment
  maybe_comment
  wrap
  no_identify
  normalize_func
  indent
  sql
  uncache_sql
  cache_sql
  characterset_sql
  column_sql
  columnposition_sql
  columndef_sql
  columnconstraint_sql
  computedcolumnconstraint_sql
  autoincrementcolumnconstraint_sql
  compresscolumnconstraint_sql
  generatedasidentitycolumnconstraint_sql
  generatedasrowcolumnconstraint_sql
  periodforsystemtimeconstraint_sql
  notnullcolumnconstraint_sql
  transformcolumnconstraint_sql
  primarykeycolumnconstraint_sql
  uniquecolumnconstraint_sql
  createable_sql
  create_sql
  sequenceproperties_sql
  clone_sql
  describe_sql
  heredoc_sql
  prepend_ctes
  with_sql
  cte_sql
  tablealias_sql
  bitstring_sql
  hexstring_sql
  bytestring_sql
  unicodestring_sql
  rawstring_sql
  datatypeparam_sql
  datatype_sql
  directory_sql
  delete_sql
  drop_sql
  set_operation
  set_operations
  fetch_sql
  limitoptions_sql
  filter_sql
  hint_sql
  indexparameters_sql
  index_sql
  identifier_sql
  hex_sql
  lowerhex_sql
  inputoutputformat_sql
  national_sql
  partition_sql
  properties_sql
  root_properties
  properties
  with_properties
  locate_properties
  property_name
  property_sql
  likeproperty_sql
  fallbackproperty_sql
  journalproperty_sql
  freespaceproperty_sql
  checksumproperty_sql
  mergeblockratioproperty_sql
  datablocksizeproperty_sql
  blockcompressionproperty_sql
  isolatedloadingproperty_sql
  partitionboundspec_sql
  partitionedofproperty_sql
  lockingproperty_sql
  withdataproperty_sql
  withsystemversioningproperty_sql
  insert_sql
  introducer_sql
  kill_sql
  pseudotype_sql
  objectidentifier_sql
  onconflict_sql
  returning_sql
  rowformatdelimitedproperty_sql
  withtablehint_sql
  indextablehint_sql
  historicaldata_sql
  table_sql
  tablefromrows_sql
  tablesample_sql
  pivot_sql
  tuple_sql
  update_sql
  values_sql
  var_sql
  into_sql
  from_sql
  groupingsets_sql
  rollup_sql
  cube_sql
  group_sql
  having_sql
  connect_sql
  prior_sql
  join_sql
  lambda_sql
  lateral_op
  lateral_sql
  limit_sql
  offset_sql
  setitem_sql
  set_sql
  pragma_sql
  lock_sql
  literal_sql
  escape_str
  loaddata_sql
  null_sql
  boolean_sql
  order_sql
  withfill_sql
  cluster_sql
  distribute_sql
  sort_sql
  ordered_sql
  matchrecognizemeasure_sql
  matchrecognize_sql
  query_modifiers
  options_modifier
  queryoption_sql
  offset_limit_modifiers
  after_limit_modifiers
  select_sql
  schema_sql
  schema_columns_sql
  star_sql
  parameter_sql
  sessionparameter_sql
  placeholder_sql
  subquery_sql
  qualify_sql
  unnest_sql
  prewhere_sql
  where_sql
  window_sql
  partition_by_sql
  windowspec_sql
  withingroup_sql
  between_sql
  bracket_offset_expressions
  all_sql
  any_sql
  exists_sql
  case_sql
  constraint_sql
  nextvaluefor_sql
  extract_sql
  trim_sql
  convert_concat_args
  concat_sql
  concatws_sql
  check_sql
  foreignkey_sql
  primarykey_sql
  if_sql
  matchagainst_sql
  jsonkeyvalue_sql
  jsonpath_sql
  json_path_part
  formatjson_sql
  jsonobject_sql
  jsonobjectagg_sql
  jsonarray_sql
  jsonarrayagg_sql
  jsoncolumndef_sql
  jsonschema_sql
  jsontable_sql
  openjsoncolumndef_sql
  openjson_sql
  in_sql
  interval_sql
  return_sql
  reference_sql
  anonymous_sql
  paren_sql
  neg_sql
  not_sql
  alias_sql
  pivotalias_sql
  aliases_sql
  atindex_sql
  fromtimezone_sql
  add_sql
  and_sql
  or_sql
  xor_sql
  connector_sql
  bitwiseand_sql
  bitwiseleftshift_sql
  bitwisenot_sql
  bitwiseor_sql
  bitwiserightshift_sql
  bitwisexor_sql
  currentdate_sql
  collate_sql
  command_sql
  comment_sql
  mergetreettlaction_sql
  mergetreettl_sql
  transaction_sql
  commit_sql
  rollback_sql
  altercolumn_sql
  alterindex_sql
  alterdiststyle_sql
  altersortkey_sql
  alterrename_sql
  renamecolumn_sql
  alterset_sql
  alter_sql
  add_column_sql
  droppartition_sql
  addconstraint_sql
  distinct_sql
  ignorenulls_sql
  respectnulls_sql
  havingmax_sql
  intdiv_sql
  dpipe_sql
  div_sql
  safedivide_sql
  overlaps_sql
  distance_sql
  dot_sql
  propertyeq_sql
  escape_sql
  glob_sql
  gt_sql
  gte_sql
  ilike_sql
  ilikeany_sql
  is_sql
  like_sql
  likeany_sql
  similarto_sql
  lt_sql
  lte_sql
  mul_sql
  neq_sql
  nullsafeeq_sql
  nullsafeneq_sql
  slice_sql
  sub_sql
  jsoncast_sql
  try_sql
  log_sql
  use_sql
  binary
  ceil_floor
  function_fallback_sql
  func
  format_args
  too_wide
  format_time
  expressions
  op_expressions
  naked_property
  tag_sql
  token_sql
  userdefinedfunction_sql
  joinhint_sql
  kwarg_sql
  when_sql
  whens_sql
  merge_sql
  tochar_sql
  tonumber_sql
  dictproperty_sql
  dictrange_sql
  dictsubproperty_sql
  duplicatekeyproperty_sql
  uniquekeyproperty_sql
  distributedbyproperty_sql
  oncluster_sql
  clusteredbyproperty_sql
  anyvalue_sql
  querytransform_sql
  indexconstraintoption_sql
  checkcolumnconstraint_sql
  indexcolumnconstraint_sql
  nvl2_sql
  comprehension_sql
  columnprefix_sql
  opclass_sql
  predict_sql
  forin_sql
  refresh_sql
  toarray_sql
  tsordstotime_sql
  tsordstotimestamp_sql
  tsordstodatetime_sql
  tsordstodate_sql
  unixdate_sql
  lastday_sql
  dateadd_sql
  arrayany_sql
  struct_sql
  partitionrange_sql
  truncatetable_sql
  convert_sql
  copyparameter_sql
  credentials_sql
  copy_sql
  semicolon_sql
  datadeletionproperty_sql
  maskingpolicycolumnconstraint_sql
  gapfill_sql
  scope_resolution
  scoperesolution_sql
  parsejson_sql
  rand_sql
  changes_sql
  pad_sql
  summarize_sql
  explodinggenerateseries_sql
  arrayconcat_sql
  converttimezone_sql
  json_sql
  jsonvalue_sql
  conditionalinsert_sql
  multitableinserts_sql
  oncondition_sql
  jsonextractquote_sql
  jsonexists_sql
  arrayagg_sql
  apply_sql
  grant_sql
  grantprivilege_sql
  grantprincipal_sql
  columns_sql
  overlay_sql
  todouble_sql
  string_sql
  median_sql
  overflowtruncatebehavior_sql
  unixseconds_sql
  arraysize_sql
  attach_sql
  detach_sql
  attachoption_sql
  featuresattime_sql
  watermarkcolumnconstraint_sql
  encodeproperty_sql
  includeproperty_sql
  xmlelement_sql
  partitionbyrangeproperty_sql
  partitionbyrangepropertydynamic_sql
  unpivotcolumns_sql
  analyzesample_sql
  analyzestatistics_sql
  analyzehistogram_sql
  analyzedelete_sql
  analyzelistchainedrows_sql
  analyzevalidate_sql
  analyze_sql
  xmltable_sql
  xmlnamespace_sql
  export_sql
  declare_sql
  declareitem_sql
  recursivewithsearch_sql
  parameterizedagg_sql
  anonymousaggfunc_sql
  combinedaggfunc_sql
  combinedparameterizedagg_sql
  show_sql
  get_put_sql
  translatecharacters_sql