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

logger = <Logger sqlglot (WARNING)>
class BigQuery(sqlglot.dialects.dialect.Dialect): View Source

     328class BigQuery(Dialect):
     329    WEEK_OFFSET = -1
     330    UNNEST_COLUMN_ONLY = True
     331    SUPPORTS_USER_DEFINED_TYPES = False
     332    SUPPORTS_SEMI_ANTI_JOIN = False
     333    LOG_BASE_FIRST = False
     334    HEX_LOWERCASE = True
     335    FORCE_EARLY_ALIAS_REF_EXPANSION = True
     336    EXPAND_ALIAS_REFS_EARLY_ONLY_IN_GROUP_BY = True
     337    PRESERVE_ORIGINAL_NAMES = True
     338
     339    # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#case_sensitivity
     340    NORMALIZATION_STRATEGY = NormalizationStrategy.CASE_INSENSITIVE
     341
     342    # bigquery udfs are case sensitive
     343    NORMALIZE_FUNCTIONS = False
     344
     345    # https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_elements_date_time
     346    TIME_MAPPING = {
     347        "%D": "%m/%d/%y",
     348        "%E6S": "%S.%f",
     349        "%e": "%-d",
     350    }
     351
     352    FORMAT_MAPPING = {
     353        "DD": "%d",
     354        "MM": "%m",
     355        "MON": "%b",
     356        "MONTH": "%B",
     357        "YYYY": "%Y",
     358        "YY": "%y",
     359        "HH": "%I",
     360        "HH12": "%I",
     361        "HH24": "%H",
     362        "MI": "%M",
     363        "SS": "%S",
     364        "SSSSS": "%f",
     365        "TZH": "%z",
     366    }
     367
     368    # The _PARTITIONTIME and _PARTITIONDATE pseudo-columns are not returned by a SELECT * statement
     369    # https://cloud.google.com/bigquery/docs/querying-partitioned-tables#query_an_ingestion-time_partitioned_table
     370    PSEUDOCOLUMNS = {"_PARTITIONTIME", "_PARTITIONDATE"}
     371
     372    # All set operations require either a DISTINCT or ALL specifier
     373    SET_OP_DISTINCT_BY_DEFAULT = dict.fromkeys((exp.Except, exp.Intersect, exp.Union), None)
     374
     375    ANNOTATORS = {
     376        **Dialect.ANNOTATORS,
     377        **{
     378            expr_type: lambda self, e: _annotate_math_functions(self, e)
     379            for expr_type in (exp.Floor, exp.Ceil, exp.Log, exp.Ln, exp.Sqrt, exp.Exp, exp.Round)
     380        },
     381        **{
     382            expr_type: lambda self, e: self._annotate_by_args(e, "this")
     383            for expr_type in (
     384                exp.Left,
     385                exp.Right,
     386                exp.Lower,
     387                exp.Upper,
     388                exp.Pad,
     389                exp.Trim,
     390                exp.RegexpExtract,
     391                exp.RegexpReplace,
     392                exp.Repeat,
     393                exp.Substring,
     394            )
     395        },
     396        exp.Concat: lambda self, e: self._annotate_by_args(e, "expressions"),
     397        exp.Sign: lambda self, e: self._annotate_by_args(e, "this"),
     398        exp.Split: lambda self, e: self._annotate_by_args(e, "this", array=True),
     399    }
     400
     401    def normalize_identifier(self, expression: E) -> E:
     402        if (
     403            isinstance(expression, exp.Identifier)
     404            and self.normalization_strategy is not NormalizationStrategy.CASE_SENSITIVE
     405        ):
     406            parent = expression.parent
     407            while isinstance(parent, exp.Dot):
     408                parent = parent.parent
     409
     410            # In BigQuery, CTEs are case-insensitive, but UDF and table names are case-sensitive
     411            # by default. The following check uses a heuristic to detect tables based on whether
     412            # they are qualified. This should generally be correct, because tables in BigQuery
     413            # must be qualified with at least a dataset, unless @@dataset_id is set.
     414            case_sensitive = (
     415                isinstance(parent, exp.UserDefinedFunction)
     416                or (
     417                    isinstance(parent, exp.Table)
     418                    and parent.db
     419                    and (parent.meta.get("quoted_table") or not parent.meta.get("maybe_column"))
     420                )
     421                or expression.meta.get("is_table")
     422            )
     423            if not case_sensitive:
     424                expression.set("this", expression.this.lower())
     425
     426        return expression
     427
     428    class Tokenizer(tokens.Tokenizer):
     429        QUOTES = ["'", '"', '"""', "'''"]
     430        COMMENTS = ["--", "#", ("/*", "*/")]
     431        IDENTIFIERS = ["`"]
     432        STRING_ESCAPES = ["\\"]
     433
     434        HEX_STRINGS = [("0x", ""), ("0X", "")]
     435
     436        BYTE_STRINGS = [
     437            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
     438        ]
     439
     440        RAW_STRINGS = [
     441            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
     442        ]
     443
     444        KEYWORDS = {
     445            **tokens.Tokenizer.KEYWORDS,
     446            "ANY TYPE": TokenType.VARIANT,
     447            "BEGIN": TokenType.COMMAND,
     448            "BEGIN TRANSACTION": TokenType.BEGIN,
     449            "BYTEINT": TokenType.INT,
     450            "BYTES": TokenType.BINARY,
     451            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
     452            "DATETIME": TokenType.TIMESTAMP,
     453            "DECLARE": TokenType.COMMAND,
     454            "ELSEIF": TokenType.COMMAND,
     455            "EXCEPTION": TokenType.COMMAND,
     456            "FLOAT64": TokenType.DOUBLE,
     457            "FOR SYSTEM_TIME": TokenType.TIMESTAMP_SNAPSHOT,
     458            "MODEL": TokenType.MODEL,
     459            "NOT DETERMINISTIC": TokenType.VOLATILE,
     460            "RECORD": TokenType.STRUCT,
     461            "TIMESTAMP": TokenType.TIMESTAMPTZ,
     462        }
     463        KEYWORDS.pop("DIV")
     464        KEYWORDS.pop("VALUES")
     465        KEYWORDS.pop("/*+")
     466
     467    class Parser(parser.Parser):
     468        PREFIXED_PIVOT_COLUMNS = True
     469        LOG_DEFAULTS_TO_LN = True
     470        SUPPORTS_IMPLICIT_UNNEST = True
     471
     472        FUNCTIONS = {
     473            **parser.Parser.FUNCTIONS,
     474            "CONTAINS_SUBSTRING": _build_contains_substring,
     475            "DATE": _build_date,
     476            "DATE_ADD": build_date_delta_with_interval(exp.DateAdd),
     477            "DATE_SUB": build_date_delta_with_interval(exp.DateSub),
     478            "DATE_TRUNC": lambda args: exp.DateTrunc(
     479                unit=exp.Literal.string(str(seq_get(args, 1))),
     480                this=seq_get(args, 0),
     481                zone=seq_get(args, 2),
     482            ),
     483            "DATETIME": _build_datetime,
     484            "DATETIME_ADD": build_date_delta_with_interval(exp.DatetimeAdd),
     485            "DATETIME_SUB": build_date_delta_with_interval(exp.DatetimeSub),
     486            "DIV": binary_from_function(exp.IntDiv),
     487            "EDIT_DISTANCE": _build_levenshtein,
     488            "FORMAT_DATE": _build_format_time(exp.TsOrDsToDate),
     489            "GENERATE_ARRAY": exp.GenerateSeries.from_arg_list,
     490            "JSON_EXTRACT_SCALAR": _build_extract_json_with_default_path(exp.JSONExtractScalar),
     491            "JSON_EXTRACT_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
     492            "JSON_QUERY": parser.build_extract_json_with_path(exp.JSONExtract),
     493            "JSON_QUERY_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
     494            "JSON_VALUE": _build_extract_json_with_default_path(exp.JSONExtractScalar),
     495            "JSON_VALUE_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
     496            "LENGTH": lambda args: exp.Length(this=seq_get(args, 0), binary=True),
     497            "MD5": exp.MD5Digest.from_arg_list,
     498            "TO_HEX": _build_to_hex,
     499            "PARSE_DATE": lambda args: build_formatted_time(exp.StrToDate, "bigquery")(
     500                [seq_get(args, 1), seq_get(args, 0)]
     501            ),
     502            "PARSE_TIMESTAMP": _build_parse_timestamp,
     503            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
     504            "REGEXP_EXTRACT": _build_regexp_extract(exp.RegexpExtract),
     505            "REGEXP_SUBSTR": _build_regexp_extract(exp.RegexpExtract),
     506            "REGEXP_EXTRACT_ALL": _build_regexp_extract(
     507                exp.RegexpExtractAll, default_group=exp.Literal.number(0)
     508            ),
     509            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
     510            "SHA512": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(512)),
     511            "SPLIT": lambda args: exp.Split(
     512                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
     513                this=seq_get(args, 0),
     514                expression=seq_get(args, 1) or exp.Literal.string(","),
     515            ),
     516            "STRPOS": exp.StrPosition.from_arg_list,
     517            "TIME": _build_time,
     518            "TIME_ADD": build_date_delta_with_interval(exp.TimeAdd),
     519            "TIME_SUB": build_date_delta_with_interval(exp.TimeSub),
     520            "TIMESTAMP": _build_timestamp,
     521            "TIMESTAMP_ADD": build_date_delta_with_interval(exp.TimestampAdd),
     522            "TIMESTAMP_SUB": build_date_delta_with_interval(exp.TimestampSub),
     523            "TIMESTAMP_MICROS": lambda args: exp.UnixToTime(
     524                this=seq_get(args, 0), scale=exp.UnixToTime.MICROS
     525            ),
     526            "TIMESTAMP_MILLIS": lambda args: exp.UnixToTime(
     527                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
     528            ),
     529            "TIMESTAMP_SECONDS": lambda args: exp.UnixToTime(this=seq_get(args, 0)),
     530            "TO_JSON_STRING": exp.JSONFormat.from_arg_list,
     531            "FORMAT_DATETIME": _build_format_time(exp.TsOrDsToDatetime),
     532            "FORMAT_TIMESTAMP": _build_format_time(exp.TsOrDsToTimestamp),
     533        }
     534
     535        FUNCTION_PARSERS = {
     536            **parser.Parser.FUNCTION_PARSERS,
     537            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
     538            "MAKE_INTERVAL": lambda self: self._parse_make_interval(),
     539            "FEATURES_AT_TIME": lambda self: self._parse_features_at_time(),
     540        }
     541        FUNCTION_PARSERS.pop("TRIM")
     542
     543        NO_PAREN_FUNCTIONS = {
     544            **parser.Parser.NO_PAREN_FUNCTIONS,
     545            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
     546        }
     547
     548        NESTED_TYPE_TOKENS = {
     549            *parser.Parser.NESTED_TYPE_TOKENS,
     550            TokenType.TABLE,
     551        }
     552
     553        PROPERTY_PARSERS = {
     554            **parser.Parser.PROPERTY_PARSERS,
     555            "NOT DETERMINISTIC": lambda self: self.expression(
     556                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
     557            ),
     558            "OPTIONS": lambda self: self._parse_with_property(),
     559        }
     560
     561        CONSTRAINT_PARSERS = {
     562            **parser.Parser.CONSTRAINT_PARSERS,
     563            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
     564        }
     565
     566        RANGE_PARSERS = parser.Parser.RANGE_PARSERS.copy()
     567        RANGE_PARSERS.pop(TokenType.OVERLAPS)
     568
     569        NULL_TOKENS = {TokenType.NULL, TokenType.UNKNOWN}
     570
     571        STATEMENT_PARSERS = {
     572            **parser.Parser.STATEMENT_PARSERS,
     573            TokenType.ELSE: lambda self: self._parse_as_command(self._prev),
     574            TokenType.END: lambda self: self._parse_as_command(self._prev),
     575            TokenType.FOR: lambda self: self._parse_for_in(),
     576        }
     577
     578        BRACKET_OFFSETS = {
     579            "OFFSET": (0, False),
     580            "ORDINAL": (1, False),
     581            "SAFE_OFFSET": (0, True),
     582            "SAFE_ORDINAL": (1, True),
     583        }
     584
     585        def _parse_for_in(self) -> exp.ForIn:
     586            this = self._parse_range()
     587            self._match_text_seq("DO")
     588            return self.expression(exp.ForIn, this=this, expression=self._parse_statement())
     589
     590        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
     591            this = super()._parse_table_part(schema=schema) or self._parse_number()
     592
     593            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
     594            if isinstance(this, exp.Identifier):
     595                table_name = this.name
     596                while self._match(TokenType.DASH, advance=False) and self._next:
     597                    text = ""
     598                    while self._is_connected() and self._curr.token_type != TokenType.DOT:
     599                        self._advance()
     600                        text += self._prev.text
     601                    table_name += text
     602
     603                this = exp.Identifier(this=table_name, quoted=this.args.get("quoted"))
     604            elif isinstance(this, exp.Literal):
     605                table_name = this.name
     606
     607                if self._is_connected() and self._parse_var(any_token=True):
     608                    table_name += self._prev.text
     609
     610                this = exp.Identifier(this=table_name, quoted=True)
     611
     612            return this
     613
     614        def _parse_table_parts(
     615            self, schema: bool = False, is_db_reference: bool = False, wildcard: bool = False
     616        ) -> exp.Table:
     617            table = super()._parse_table_parts(
     618                schema=schema, is_db_reference=is_db_reference, wildcard=True
     619            )
     620
     621            # proj-1.db.tbl -- `1.` is tokenized as a float so we need to unravel it here
     622            if not table.catalog:
     623                if table.db:
     624                    parts = table.db.split(".")
     625                    if len(parts) == 2 and not table.args["db"].quoted:
     626                        table.set("catalog", exp.Identifier(this=parts[0]))
     627                        table.set("db", exp.Identifier(this=parts[1]))
     628                else:
     629                    parts = table.name.split(".")
     630                    if len(parts) == 2 and not table.this.quoted:
     631                        table.set("db", exp.Identifier(this=parts[0]))
     632                        table.set("this", exp.Identifier(this=parts[1]))
     633
     634            if isinstance(table.this, exp.Identifier) and any("." in p.name for p in table.parts):
     635                alias = table.this
     636                catalog, db, this, *rest = (
     637                    exp.to_identifier(p, quoted=True)
     638                    for p in split_num_words(".".join(p.name for p in table.parts), ".", 3)
     639                )
     640
     641                if rest and this:
     642                    this = exp.Dot.build([this, *rest])  # type: ignore
     643
     644                table = exp.Table(
     645                    this=this, db=db, catalog=catalog, pivots=table.args.get("pivots")
     646                )
     647                table.meta["quoted_table"] = True
     648            else:
     649                alias = None
     650
     651            # The `INFORMATION_SCHEMA` views in BigQuery need to be qualified by a region or
     652            # dataset, so if the project identifier is omitted we need to fix the ast so that
     653            # the `INFORMATION_SCHEMA.X` bit is represented as a single (quoted) Identifier.
     654            # Otherwise, we wouldn't correctly qualify a `Table` node that references these
     655            # views, because it would seem like the "catalog" part is set, when it'd actually
     656            # be the region/dataset. Merging the two identifiers into a single one is done to
     657            # avoid producing a 4-part Table reference, which would cause issues in the schema
     658            # module, when there are 3-part table names mixed with information schema views.
     659            #
     660            # See: https://cloud.google.com/bigquery/docs/information-schema-intro#syntax
     661            table_parts = table.parts
     662            if len(table_parts) > 1 and table_parts[-2].name.upper() == "INFORMATION_SCHEMA":
     663                # We need to alias the table here to avoid breaking existing qualified columns.
     664                # This is expected to be safe, because if there's an actual alias coming up in
     665                # the token stream, it will overwrite this one. If there isn't one, we are only
     666                # exposing the name that can be used to reference the view explicitly (a no-op).
     667                exp.alias_(
     668                    table,
     669                    t.cast(exp.Identifier, alias or table_parts[-1]),
     670                    table=True,
     671                    copy=False,
     672                )
     673
     674                info_schema_view = f"{table_parts[-2].name}.{table_parts[-1].name}"
     675                table.set("this", exp.Identifier(this=info_schema_view, quoted=True))
     676                table.set("db", seq_get(table_parts, -3))
     677                table.set("catalog", seq_get(table_parts, -4))
     678
     679            return table
     680
     681        def _parse_column(self) -> t.Optional[exp.Expression]:
     682            column = super()._parse_column()
     683            if isinstance(column, exp.Column):
     684                parts = column.parts
     685                if any("." in p.name for p in parts):
     686                    catalog, db, table, this, *rest = (
     687                        exp.to_identifier(p, quoted=True)
     688                        for p in split_num_words(".".join(p.name for p in parts), ".", 4)
     689                    )
     690
     691                    if rest and this:
     692                        this = exp.Dot.build([this, *rest])  # type: ignore
     693
     694                    column = exp.Column(this=this, table=table, db=db, catalog=catalog)
     695                    column.meta["quoted_column"] = True
     696
     697            return column
     698
     699        @t.overload
     700        def _parse_json_object(self, agg: Lit[False]) -> exp.JSONObject: ...
     701
     702        @t.overload
     703        def _parse_json_object(self, agg: Lit[True]) -> exp.JSONObjectAgg: ...
     704
     705        def _parse_json_object(self, agg=False):
     706            json_object = super()._parse_json_object()
     707            array_kv_pair = seq_get(json_object.expressions, 0)
     708
     709            # Converts BQ's "signature 2" of JSON_OBJECT into SQLGlot's canonical representation
     710            # https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions#json_object_signature2
     711            if (
     712                array_kv_pair
     713                and isinstance(array_kv_pair.this, exp.Array)
     714                and isinstance(array_kv_pair.expression, exp.Array)
     715            ):
     716                keys = array_kv_pair.this.expressions
     717                values = array_kv_pair.expression.expressions
     718
     719                json_object.set(
     720                    "expressions",
     721                    [exp.JSONKeyValue(this=k, expression=v) for k, v in zip(keys, values)],
     722                )
     723
     724            return json_object
     725
     726        def _parse_bracket(
     727            self, this: t.Optional[exp.Expression] = None
     728        ) -> t.Optional[exp.Expression]:
     729            bracket = super()._parse_bracket(this)
     730
     731            if this is bracket:
     732                return bracket
     733
     734            if isinstance(bracket, exp.Bracket):
     735                for expression in bracket.expressions:
     736                    name = expression.name.upper()
     737
     738                    if name not in self.BRACKET_OFFSETS:
     739                        break
     740
     741                    offset, safe = self.BRACKET_OFFSETS[name]
     742                    bracket.set("offset", offset)
     743                    bracket.set("safe", safe)
     744                    expression.replace(expression.expressions[0])
     745
     746            return bracket
     747
     748        def _parse_unnest(self, with_alias: bool = True) -> t.Optional[exp.Unnest]:
     749            unnest = super()._parse_unnest(with_alias=with_alias)
     750
     751            if not unnest:
     752                return None
     753
     754            unnest_expr = seq_get(unnest.expressions, 0)
     755            if unnest_expr:
     756                from sqlglot.optimizer.annotate_types import annotate_types
     757
     758                unnest_expr = annotate_types(unnest_expr)
     759
     760                # Unnesting a nested array (i.e array of structs) explodes the top-level struct fields,
     761                # in contrast to other dialects such as DuckDB which flattens only the array by default
     762                if unnest_expr.is_type(exp.DataType.Type.ARRAY) and any(
     763                    array_elem.is_type(exp.DataType.Type.STRUCT)
     764                    for array_elem in unnest_expr._type.expressions
     765                ):
     766                    unnest.set("explode_array", True)
     767
     768            return unnest
     769
     770        def _parse_make_interval(self) -> exp.MakeInterval:
     771            expr = exp.MakeInterval()
     772
     773            for arg_key in expr.arg_types:
     774                value = self._parse_lambda()
     775
     776                if not value:
     777                    break
     778
     779                # Non-named arguments are filled sequentially, (optionally) followed by named arguments
     780                # that can appear in any order e.g MAKE_INTERVAL(1, minute => 5, day => 2)
     781                if isinstance(value, exp.Kwarg):
     782                    arg_key = value.this.name
     783
     784                expr.set(arg_key, value)
     785
     786                self._match(TokenType.COMMA)
     787
     788            return expr
     789
     790        def _parse_features_at_time(self) -> exp.FeaturesAtTime:
     791            expr = self.expression(
     792                exp.FeaturesAtTime,
     793                this=(self._match(TokenType.TABLE) and self._parse_table())
     794                or self._parse_select(nested=True),
     795            )
     796
     797            while self._match(TokenType.COMMA):
     798                arg = self._parse_lambda()
     799
     800                # Get the LHS of the Kwarg and set the arg to that value, e.g
     801                # "num_rows => 1" sets the expr's `num_rows` arg
     802                if arg:
     803                    expr.set(arg.this.name, arg)
     804
     805            return expr
     806
     807    class Generator(generator.Generator):
     808        INTERVAL_ALLOWS_PLURAL_FORM = False
     809        JOIN_HINTS = False
     810        QUERY_HINTS = False
     811        TABLE_HINTS = False
     812        LIMIT_FETCH = "LIMIT"
     813        RENAME_TABLE_WITH_DB = False
     814        NVL2_SUPPORTED = False
     815        UNNEST_WITH_ORDINALITY = False
     816        COLLATE_IS_FUNC = True
     817        LIMIT_ONLY_LITERALS = True
     818        SUPPORTS_TABLE_ALIAS_COLUMNS = False
     819        UNPIVOT_ALIASES_ARE_IDENTIFIERS = False
     820        JSON_KEY_VALUE_PAIR_SEP = ","
     821        NULL_ORDERING_SUPPORTED = False
     822        IGNORE_NULLS_IN_FUNC = True
     823        JSON_PATH_SINGLE_QUOTE_ESCAPE = True
     824        CAN_IMPLEMENT_ARRAY_ANY = True
     825        SUPPORTS_TO_NUMBER = False
     826        NAMED_PLACEHOLDER_TOKEN = "@"
     827        HEX_FUNC = "TO_HEX"
     828        WITH_PROPERTIES_PREFIX = "OPTIONS"
     829        SUPPORTS_EXPLODING_PROJECTIONS = False
     830        EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE = False
     831        SUPPORTS_UNIX_SECONDS = True
     832
     833        TRANSFORMS = {
     834            **generator.Generator.TRANSFORMS,
     835            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
     836            exp.ArgMax: arg_max_or_min_no_count("MAX_BY"),
     837            exp.ArgMin: arg_max_or_min_no_count("MIN_BY"),
     838            exp.Array: inline_array_unless_query,
     839            exp.ArrayContains: _array_contains_sql,
     840            exp.ArrayFilter: filter_array_using_unnest,
     841            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
     842            exp.CollateProperty: lambda self, e: (
     843                f"DEFAULT COLLATE {self.sql(e, 'this')}"
     844                if e.args.get("default")
     845                else f"COLLATE {self.sql(e, 'this')}"
     846            ),
     847            exp.Commit: lambda *_: "COMMIT TRANSACTION",
     848            exp.CountIf: rename_func("COUNTIF"),
     849            exp.Create: _create_sql,
     850            exp.CTE: transforms.preprocess([_pushdown_cte_column_names]),
     851            exp.DateAdd: date_add_interval_sql("DATE", "ADD"),
     852            exp.DateDiff: lambda self, e: self.func(
     853                "DATE_DIFF", e.this, e.expression, unit_to_var(e)
     854            ),
     855            exp.DateFromParts: rename_func("DATE"),
     856            exp.DateStrToDate: datestrtodate_sql,
     857            exp.DateSub: date_add_interval_sql("DATE", "SUB"),
     858            exp.DatetimeAdd: date_add_interval_sql("DATETIME", "ADD"),
     859            exp.DatetimeSub: date_add_interval_sql("DATETIME", "SUB"),
     860            exp.DateTrunc: lambda self, e: self.func(
     861                "DATE_TRUNC", e.this, e.text("unit"), e.args.get("zone")
     862            ),
     863            exp.FromTimeZone: lambda self, e: self.func(
     864                "DATETIME", self.func("TIMESTAMP", e.this, e.args.get("zone")), "'UTC'"
     865            ),
     866            exp.GenerateSeries: rename_func("GENERATE_ARRAY"),
     867            exp.GroupConcat: rename_func("STRING_AGG"),
     868            exp.Hex: lambda self, e: self.func("UPPER", self.func("TO_HEX", self.sql(e, "this"))),
     869            exp.If: if_sql(false_value="NULL"),
     870            exp.ILike: no_ilike_sql,
     871            exp.IntDiv: rename_func("DIV"),
     872            exp.Int64: rename_func("INT64"),
     873            exp.JSONFormat: rename_func("TO_JSON_STRING"),
     874            exp.Levenshtein: _levenshtein_sql,
     875            exp.Max: max_or_greatest,
     876            exp.MD5: lambda self, e: self.func("TO_HEX", self.func("MD5", e.this)),
     877            exp.MD5Digest: rename_func("MD5"),
     878            exp.Min: min_or_least,
     879            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
     880            exp.RegexpExtract: lambda self, e: self.func(
     881                "REGEXP_EXTRACT",
     882                e.this,
     883                e.expression,
     884                e.args.get("position"),
     885                e.args.get("occurrence"),
     886            ),
     887            exp.RegexpExtractAll: lambda self, e: self.func(
     888                "REGEXP_EXTRACT_ALL", e.this, e.expression
     889            ),
     890            exp.RegexpReplace: regexp_replace_sql,
     891            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
     892            exp.ReturnsProperty: _returnsproperty_sql,
     893            exp.Rollback: lambda *_: "ROLLBACK TRANSACTION",
     894            exp.Select: transforms.preprocess(
     895                [
     896                    transforms.explode_to_unnest(),
     897                    transforms.unqualify_unnest,
     898                    transforms.eliminate_distinct_on,
     899                    _alias_ordered_group,
     900                    transforms.eliminate_semi_and_anti_joins,
     901                ]
     902            ),
     903            exp.SHA: rename_func("SHA1"),
     904            exp.SHA2: sha256_sql,
     905            exp.StabilityProperty: lambda self, e: (
     906                "DETERMINISTIC" if e.name == "IMMUTABLE" else "NOT DETERMINISTIC"
     907            ),
     908            exp.String: rename_func("STRING"),
     909            exp.StrPosition: str_position_sql,
     910            exp.StrToDate: _str_to_datetime_sql,
     911            exp.StrToTime: _str_to_datetime_sql,
     912            exp.TimeAdd: date_add_interval_sql("TIME", "ADD"),
     913            exp.TimeFromParts: rename_func("TIME"),
     914            exp.TimestampFromParts: rename_func("DATETIME"),
     915            exp.TimeSub: date_add_interval_sql("TIME", "SUB"),
     916            exp.TimestampAdd: date_add_interval_sql("TIMESTAMP", "ADD"),
     917            exp.TimestampDiff: rename_func("TIMESTAMP_DIFF"),
     918            exp.TimestampSub: date_add_interval_sql("TIMESTAMP", "SUB"),
     919            exp.TimeStrToTime: timestrtotime_sql,
     920            exp.Transaction: lambda *_: "BEGIN TRANSACTION",
     921            exp.TsOrDsAdd: _ts_or_ds_add_sql,
     922            exp.TsOrDsDiff: _ts_or_ds_diff_sql,
     923            exp.TsOrDsToTime: rename_func("TIME"),
     924            exp.TsOrDsToDatetime: rename_func("DATETIME"),
     925            exp.TsOrDsToTimestamp: rename_func("TIMESTAMP"),
     926            exp.Unhex: rename_func("FROM_HEX"),
     927            exp.UnixDate: rename_func("UNIX_DATE"),
     928            exp.UnixToTime: _unix_to_time_sql,
     929            exp.Uuid: lambda *_: "GENERATE_UUID()",
     930            exp.Values: _derived_table_values_to_unnest,
     931            exp.VariancePop: rename_func("VAR_POP"),
     932        }
     933
     934        SUPPORTED_JSON_PATH_PARTS = {
     935            exp.JSONPathKey,
     936            exp.JSONPathRoot,
     937            exp.JSONPathSubscript,
     938        }
     939
     940        TYPE_MAPPING = {
     941            **generator.Generator.TYPE_MAPPING,
     942            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
     943            exp.DataType.Type.BIGINT: "INT64",
     944            exp.DataType.Type.BINARY: "BYTES",
     945            exp.DataType.Type.BOOLEAN: "BOOL",
     946            exp.DataType.Type.CHAR: "STRING",
     947            exp.DataType.Type.DECIMAL: "NUMERIC",
     948            exp.DataType.Type.DOUBLE: "FLOAT64",
     949            exp.DataType.Type.FLOAT: "FLOAT64",
     950            exp.DataType.Type.INT: "INT64",
     951            exp.DataType.Type.NCHAR: "STRING",
     952            exp.DataType.Type.NVARCHAR: "STRING",
     953            exp.DataType.Type.SMALLINT: "INT64",
     954            exp.DataType.Type.TEXT: "STRING",
     955            exp.DataType.Type.TIMESTAMP: "DATETIME",
     956            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
     957            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
     958            exp.DataType.Type.TINYINT: "INT64",
     959            exp.DataType.Type.ROWVERSION: "BYTES",
     960            exp.DataType.Type.UUID: "STRING",
     961            exp.DataType.Type.VARBINARY: "BYTES",
     962            exp.DataType.Type.VARCHAR: "STRING",
     963            exp.DataType.Type.VARIANT: "ANY TYPE",
     964        }
     965
     966        PROPERTIES_LOCATION = {
     967            **generator.Generator.PROPERTIES_LOCATION,
     968            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
     969            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
     970        }
     971
     972        # WINDOW comes after QUALIFY
     973        # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#window_clause
     974        AFTER_HAVING_MODIFIER_TRANSFORMS = {
     975            "qualify": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["qualify"],
     976            "windows": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["windows"],
     977        }
     978
     979        # from: https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#reserved_keywords
     980        RESERVED_KEYWORDS = {
     981            "all",
     982            "and",
     983            "any",
     984            "array",
     985            "as",
     986            "asc",
     987            "assert_rows_modified",
     988            "at",
     989            "between",
     990            "by",
     991            "case",
     992            "cast",
     993            "collate",
     994            "contains",
     995            "create",
     996            "cross",
     997            "cube",
     998            "current",
     999            "default",
    1000            "define",
    1001            "desc",
    1002            "distinct",
    1003            "else",
    1004            "end",
    1005            "enum",
    1006            "escape",
    1007            "except",
    1008            "exclude",
    1009            "exists",
    1010            "extract",
    1011            "false",
    1012            "fetch",
    1013            "following",
    1014            "for",
    1015            "from",
    1016            "full",
    1017            "group",
    1018            "grouping",
    1019            "groups",
    1020            "hash",
    1021            "having",
    1022            "if",
    1023            "ignore",
    1024            "in",
    1025            "inner",
    1026            "intersect",
    1027            "interval",
    1028            "into",
    1029            "is",
    1030            "join",
    1031            "lateral",
    1032            "left",
    1033            "like",
    1034            "limit",
    1035            "lookup",
    1036            "merge",
    1037            "natural",
    1038            "new",
    1039            "no",
    1040            "not",
    1041            "null",
    1042            "nulls",
    1043            "of",
    1044            "on",
    1045            "or",
    1046            "order",
    1047            "outer",
    1048            "over",
    1049            "partition",
    1050            "preceding",
    1051            "proto",
    1052            "qualify",
    1053            "range",
    1054            "recursive",
    1055            "respect",
    1056            "right",
    1057            "rollup",
    1058            "rows",
    1059            "select",
    1060            "set",
    1061            "some",
    1062            "struct",
    1063            "tablesample",
    1064            "then",
    1065            "to",
    1066            "treat",
    1067            "true",
    1068            "unbounded",
    1069            "union",
    1070            "unnest",
    1071            "using",
    1072            "when",
    1073            "where",
    1074            "window",
    1075            "with",
    1076            "within",
    1077        }
    1078
    1079        def mod_sql(self, expression: exp.Mod) -> str:
    1080            this = expression.this
    1081            expr = expression.expression
    1082            return self.func(
    1083                "MOD",
    1084                this.unnest() if isinstance(this, exp.Paren) else this,
    1085                expr.unnest() if isinstance(expr, exp.Paren) else expr,
    1086            )
    1087
    1088        def column_parts(self, expression: exp.Column) -> str:
    1089            if expression.meta.get("quoted_column"):
    1090                # If a column reference is of the form `dataset.table`.name, we need
    1091                # to preserve the quoted table path, otherwise the reference breaks
    1092                table_parts = ".".join(p.name for p in expression.parts[:-1])
    1093                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
    1094                return f"{table_path}.{self.sql(expression, 'this')}"
    1095
    1096            return super().column_parts(expression)
    1097
    1098        def table_parts(self, expression: exp.Table) -> str:
    1099            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
    1100            # we need to make sure the correct quoting is used in each case.
    1101            #
    1102            # For example, if there is a CTE x that clashes with a schema name, then the former will
    1103            # return the table y in that schema, whereas the latter will return the CTE's y column:
    1104            #
    1105            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
    1106            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
    1107            if expression.meta.get("quoted_table"):
    1108                table_parts = ".".join(p.name for p in expression.parts)
    1109                return self.sql(exp.Identifier(this=table_parts, quoted=True))
    1110
    1111            return super().table_parts(expression)
    1112
    1113        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
    1114            this = expression.this
    1115            if isinstance(this, exp.TsOrDsToDatetime):
    1116                func_name = "FORMAT_DATETIME"
    1117            elif isinstance(this, exp.TsOrDsToTimestamp):
    1118                func_name = "FORMAT_TIMESTAMP"
    1119            else:
    1120                func_name = "FORMAT_DATE"
    1121
    1122            time_expr = (
    1123                this
    1124                if isinstance(this, (exp.TsOrDsToDatetime, exp.TsOrDsToTimestamp, exp.TsOrDsToDate))
    1125                else expression
    1126            )
    1127            return self.func(func_name, self.format_time(expression), time_expr.this)
    1128
    1129        def eq_sql(self, expression: exp.EQ) -> str:
    1130            # Operands of = cannot be NULL in BigQuery
    1131            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
    1132                if not isinstance(expression.parent, exp.Update):
    1133                    return "NULL"
    1134
    1135            return self.binary(expression, "=")
    1136
    1137        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
    1138            parent = expression.parent
    1139
    1140            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
    1141            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
    1142            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
    1143                return self.func(
    1144                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
    1145                )
    1146
    1147            return super().attimezone_sql(expression)
    1148
    1149        def trycast_sql(self, expression: exp.TryCast) -> str:
    1150            return self.cast_sql(expression, safe_prefix="SAFE_")
    1151
    1152        def bracket_sql(self, expression: exp.Bracket) -> str:
    1153            this = expression.this
    1154            expressions = expression.expressions
    1155
    1156            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
    1157                arg = expressions[0]
    1158                if arg.type is None:
    1159                    from sqlglot.optimizer.annotate_types import annotate_types
    1160
    1161                    arg = annotate_types(arg)
    1162
    1163                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
    1164                    # BQ doesn't support bracket syntax with string values for structs
    1165                    return f"{self.sql(this)}.{arg.name}"
    1166
    1167            expressions_sql = self.expressions(expression, flat=True)
    1168            offset = expression.args.get("offset")
    1169
    1170            if offset == 0:
    1171                expressions_sql = f"OFFSET({expressions_sql})"
    1172            elif offset == 1:
    1173                expressions_sql = f"ORDINAL({expressions_sql})"
    1174            elif offset is not None:
    1175                self.unsupported(f"Unsupported array offset: {offset}")
    1176
    1177            if expression.args.get("safe"):
    1178                expressions_sql = f"SAFE_{expressions_sql}"
    1179
    1180            return f"{self.sql(this)}[{expressions_sql}]"
    1181
    1182        def in_unnest_op(self, expression: exp.Unnest) -> str:
    1183            return self.sql(expression)
    1184
    1185        def version_sql(self, expression: exp.Version) -> str:
    1186            if expression.name == "TIMESTAMP":
    1187                expression.set("this", "SYSTEM_TIME")
    1188            return super().version_sql(expression)
    1189
    1190        def contains_sql(self, expression: exp.Contains) -> str:
    1191            this = expression.this
    1192            expr = expression.expression
    1193
    1194            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
    1195                this = this.this
    1196                expr = expr.this
    1197
    1198            return self.func("CONTAINS_SUBSTRING", this, expr)

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"

EXPAND_ALIAS_REFS_EARLY_ONLY_IN_GROUP_BY = True

Whether alias reference expansion before qualification should only happen for the GROUP BY clause.

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

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.

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.In'>: <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.Date'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateStrToDate'>: <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.DateFromParts'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrToDate'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDatetime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeAdd'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeSub'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Datetime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StddevPop'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Exp'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Log'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Stddev'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ln'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Sqrt'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Variance'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Avg'>: <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.VariancePop'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Quantile'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ToDouble'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StddevSamp'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Round'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.DatetimeDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateToDi'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrPosition'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Levenshtein'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Sign'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Ceil'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.DateDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDiToDi'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeDiff'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ParseJSON'>: <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.TimeSub'>: <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.TimestampSub'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampAdd'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrToTime'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Year'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Week'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Quarter'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Day'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Month'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Initcap'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Concat'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Upper'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.String'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateToDateStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeToTimeStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Substring'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDateStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.GroupConcat'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeToStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Lower'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.UnixToTimeStr'>: <function _annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ArrayConcat'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Trim'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ConcatWs'>: <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

    401    def normalize_identifier(self, expression: E) -> E:
    402        if (
    403            isinstance(expression, exp.Identifier)
    404            and self.normalization_strategy is not NormalizationStrategy.CASE_SENSITIVE
    405        ):
    406            parent = expression.parent
    407            while isinstance(parent, exp.Dot):
    408                parent = parent.parent
    409
    410            # In BigQuery, CTEs are case-insensitive, but UDF and table names are case-sensitive
    411            # by default. The following check uses a heuristic to detect tables based on whether
    412            # they are qualified. This should generally be correct, because tables in BigQuery
    413            # must be qualified with at least a dataset, unless @@dataset_id is set.
    414            case_sensitive = (
    415                isinstance(parent, exp.UserDefinedFunction)
    416                or (
    417                    isinstance(parent, exp.Table)
    418                    and parent.db
    419                    and (parent.meta.get("quoted_table") or not parent.meta.get("maybe_column"))
    420                )
    421                or expression.meta.get("is_table")
    422            )
    423            if not case_sensitive:
    424                expression.set("this", expression.this.lower())
    425
    426        return 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

##### Inherited Members

sqlglot.dialects.dialect.Dialect
  Dialect
  INDEX_OFFSET
  ALIAS_POST_TABLESAMPLE
  TABLESAMPLE_SIZE_IS_PERCENT
  IDENTIFIERS_CAN_START_WITH_DIGIT
  DPIPE_IS_STRING_CONCAT
  STRICT_STRING_CONCAT
  COPY_PARAMS_ARE_CSV
  NULL_ORDERING
  TYPED_DIVISION
  SAFE_DIVISION
  CONCAT_COALESCE
  DATE_FORMAT
  DATEINT_FORMAT
  TIME_FORMAT
  PREFER_CTE_ALIAS_COLUMN
  SUPPORTS_ORDER_BY_ALL
  HAS_DISTINCT_ARRAY_CONSTRUCTORS
  SUPPORTS_FIXED_SIZE_ARRAYS
  STRICT_JSON_PATH_SYNTAX
  ON_CONDITION_EMPTY_BEFORE_ERROR
  ARRAY_AGG_INCLUDES_NULLS
  PROMOTE_TO_INFERRED_DATETIME_TYPE
  REGEXP_EXTRACT_DEFAULT_GROUP
  CREATABLE_KIND_MAPPING
  DATE_PART_MAPPING
  TYPE_TO_EXPRESSIONS
  get_or_raise
  format_time
  settings
  case_sensitive
  can_identify
  quote_identifier
  to_json_path
  parse
  parse_into
  generate
  transpile
  tokenize
  tokenizer
  jsonpath_tokenizer
  parser
  generator

class BigQuery.Tokenizer(sqlglot.tokens.Tokenizer): View Source

    428    class Tokenizer(tokens.Tokenizer):
    429        QUOTES = ["'", '"', '"""', "'''"]
    430        COMMENTS = ["--", "#", ("/*", "*/")]
    431        IDENTIFIERS = ["`"]
    432        STRING_ESCAPES = ["\\"]
    433
    434        HEX_STRINGS = [("0x", ""), ("0X", "")]
    435
    436        BYTE_STRINGS = [
    437            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
    438        ]
    439
    440        RAW_STRINGS = [
    441            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
    442        ]
    443
    444        KEYWORDS = {
    445            **tokens.Tokenizer.KEYWORDS,
    446            "ANY TYPE": TokenType.VARIANT,
    447            "BEGIN": TokenType.COMMAND,
    448            "BEGIN TRANSACTION": TokenType.BEGIN,
    449            "BYTEINT": TokenType.INT,
    450            "BYTES": TokenType.BINARY,
    451            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
    452            "DATETIME": TokenType.TIMESTAMP,
    453            "DECLARE": TokenType.COMMAND,
    454            "ELSEIF": TokenType.COMMAND,
    455            "EXCEPTION": TokenType.COMMAND,
    456            "FLOAT64": TokenType.DOUBLE,
    457            "FOR SYSTEM_TIME": TokenType.TIMESTAMP_SNAPSHOT,
    458            "MODEL": TokenType.MODEL,
    459            "NOT DETERMINISTIC": TokenType.VOLATILE,
    460            "RECORD": TokenType.STRUCT,
    461            "TIMESTAMP": TokenType.TIMESTAMPTZ,
    462        }
    463        KEYWORDS.pop("DIV")
    464        KEYWORDS.pop("VALUES")
    465        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_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'>, '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'>, 'INT128': <TokenType.INT128: 'INT128'>, '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'>, 'LONG': <TokenType.BIGINT: 'BIGINT'>, 'BIGINT': <TokenType.BIGINT: 'BIGINT'>, 'INT8': <TokenType.TINYINT: 'TINYINT'>, 'UINT': <TokenType.UINT: 'UINT'>, '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'>, '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.COMMAND: 'COMMAND'>, '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'>, '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
  reset
  tokenize
  tokenize_rs
  size
  sql
  tokens

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

    467    class Parser(parser.Parser):
    468        PREFIXED_PIVOT_COLUMNS = True
    469        LOG_DEFAULTS_TO_LN = True
    470        SUPPORTS_IMPLICIT_UNNEST = True
    471
    472        FUNCTIONS = {
    473            **parser.Parser.FUNCTIONS,
    474            "CONTAINS_SUBSTRING": _build_contains_substring,
    475            "DATE": _build_date,
    476            "DATE_ADD": build_date_delta_with_interval(exp.DateAdd),
    477            "DATE_SUB": build_date_delta_with_interval(exp.DateSub),
    478            "DATE_TRUNC": lambda args: exp.DateTrunc(
    479                unit=exp.Literal.string(str(seq_get(args, 1))),
    480                this=seq_get(args, 0),
    481                zone=seq_get(args, 2),
    482            ),
    483            "DATETIME": _build_datetime,
    484            "DATETIME_ADD": build_date_delta_with_interval(exp.DatetimeAdd),
    485            "DATETIME_SUB": build_date_delta_with_interval(exp.DatetimeSub),
    486            "DIV": binary_from_function(exp.IntDiv),
    487            "EDIT_DISTANCE": _build_levenshtein,
    488            "FORMAT_DATE": _build_format_time(exp.TsOrDsToDate),
    489            "GENERATE_ARRAY": exp.GenerateSeries.from_arg_list,
    490            "JSON_EXTRACT_SCALAR": _build_extract_json_with_default_path(exp.JSONExtractScalar),
    491            "JSON_EXTRACT_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
    492            "JSON_QUERY": parser.build_extract_json_with_path(exp.JSONExtract),
    493            "JSON_QUERY_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
    494            "JSON_VALUE": _build_extract_json_with_default_path(exp.JSONExtractScalar),
    495            "JSON_VALUE_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
    496            "LENGTH": lambda args: exp.Length(this=seq_get(args, 0), binary=True),
    497            "MD5": exp.MD5Digest.from_arg_list,
    498            "TO_HEX": _build_to_hex,
    499            "PARSE_DATE": lambda args: build_formatted_time(exp.StrToDate, "bigquery")(
    500                [seq_get(args, 1), seq_get(args, 0)]
    501            ),
    502            "PARSE_TIMESTAMP": _build_parse_timestamp,
    503            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
    504            "REGEXP_EXTRACT": _build_regexp_extract(exp.RegexpExtract),
    505            "REGEXP_SUBSTR": _build_regexp_extract(exp.RegexpExtract),
    506            "REGEXP_EXTRACT_ALL": _build_regexp_extract(
    507                exp.RegexpExtractAll, default_group=exp.Literal.number(0)
    508            ),
    509            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
    510            "SHA512": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(512)),
    511            "SPLIT": lambda args: exp.Split(
    512                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
    513                this=seq_get(args, 0),
    514                expression=seq_get(args, 1) or exp.Literal.string(","),
    515            ),
    516            "STRPOS": exp.StrPosition.from_arg_list,
    517            "TIME": _build_time,
    518            "TIME_ADD": build_date_delta_with_interval(exp.TimeAdd),
    519            "TIME_SUB": build_date_delta_with_interval(exp.TimeSub),
    520            "TIMESTAMP": _build_timestamp,
    521            "TIMESTAMP_ADD": build_date_delta_with_interval(exp.TimestampAdd),
    522            "TIMESTAMP_SUB": build_date_delta_with_interval(exp.TimestampSub),
    523            "TIMESTAMP_MICROS": lambda args: exp.UnixToTime(
    524                this=seq_get(args, 0), scale=exp.UnixToTime.MICROS
    525            ),
    526            "TIMESTAMP_MILLIS": lambda args: exp.UnixToTime(
    527                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
    528            ),
    529            "TIMESTAMP_SECONDS": lambda args: exp.UnixToTime(this=seq_get(args, 0)),
    530            "TO_JSON_STRING": exp.JSONFormat.from_arg_list,
    531            "FORMAT_DATETIME": _build_format_time(exp.TsOrDsToDatetime),
    532            "FORMAT_TIMESTAMP": _build_format_time(exp.TsOrDsToTimestamp),
    533        }
    534
    535        FUNCTION_PARSERS = {
    536            **parser.Parser.FUNCTION_PARSERS,
    537            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
    538            "MAKE_INTERVAL": lambda self: self._parse_make_interval(),
    539            "FEATURES_AT_TIME": lambda self: self._parse_features_at_time(),
    540        }
    541        FUNCTION_PARSERS.pop("TRIM")
    542
    543        NO_PAREN_FUNCTIONS = {
    544            **parser.Parser.NO_PAREN_FUNCTIONS,
    545            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
    546        }
    547
    548        NESTED_TYPE_TOKENS = {
    549            *parser.Parser.NESTED_TYPE_TOKENS,
    550            TokenType.TABLE,
    551        }
    552
    553        PROPERTY_PARSERS = {
    554            **parser.Parser.PROPERTY_PARSERS,
    555            "NOT DETERMINISTIC": lambda self: self.expression(
    556                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
    557            ),
    558            "OPTIONS": lambda self: self._parse_with_property(),
    559        }
    560
    561        CONSTRAINT_PARSERS = {
    562            **parser.Parser.CONSTRAINT_PARSERS,
    563            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
    564        }
    565
    566        RANGE_PARSERS = parser.Parser.RANGE_PARSERS.copy()
    567        RANGE_PARSERS.pop(TokenType.OVERLAPS)
    568
    569        NULL_TOKENS = {TokenType.NULL, TokenType.UNKNOWN}
    570
    571        STATEMENT_PARSERS = {
    572            **parser.Parser.STATEMENT_PARSERS,
    573            TokenType.ELSE: lambda self: self._parse_as_command(self._prev),
    574            TokenType.END: lambda self: self._parse_as_command(self._prev),
    575            TokenType.FOR: lambda self: self._parse_for_in(),
    576        }
    577
    578        BRACKET_OFFSETS = {
    579            "OFFSET": (0, False),
    580            "ORDINAL": (1, False),
    581            "SAFE_OFFSET": (0, True),
    582            "SAFE_ORDINAL": (1, True),
    583        }
    584
    585        def _parse_for_in(self) -> exp.ForIn:
    586            this = self._parse_range()
    587            self._match_text_seq("DO")
    588            return self.expression(exp.ForIn, this=this, expression=self._parse_statement())
    589
    590        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
    591            this = super()._parse_table_part(schema=schema) or self._parse_number()
    592
    593            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
    594            if isinstance(this, exp.Identifier):
    595                table_name = this.name
    596                while self._match(TokenType.DASH, advance=False) and self._next:
    597                    text = ""
    598                    while self._is_connected() and self._curr.token_type != TokenType.DOT:
    599                        self._advance()
    600                        text += self._prev.text
    601                    table_name += text
    602
    603                this = exp.Identifier(this=table_name, quoted=this.args.get("quoted"))
    604            elif isinstance(this, exp.Literal):
    605                table_name = this.name
    606
    607                if self._is_connected() and self._parse_var(any_token=True):
    608                    table_name += self._prev.text
    609
    610                this = exp.Identifier(this=table_name, quoted=True)
    611
    612            return this
    613
    614        def _parse_table_parts(
    615            self, schema: bool = False, is_db_reference: bool = False, wildcard: bool = False
    616        ) -> exp.Table:
    617            table = super()._parse_table_parts(
    618                schema=schema, is_db_reference=is_db_reference, wildcard=True
    619            )
    620
    621            # proj-1.db.tbl -- `1.` is tokenized as a float so we need to unravel it here
    622            if not table.catalog:
    623                if table.db:
    624                    parts = table.db.split(".")
    625                    if len(parts) == 2 and not table.args["db"].quoted:
    626                        table.set("catalog", exp.Identifier(this=parts[0]))
    627                        table.set("db", exp.Identifier(this=parts[1]))
    628                else:
    629                    parts = table.name.split(".")
    630                    if len(parts) == 2 and not table.this.quoted:
    631                        table.set("db", exp.Identifier(this=parts[0]))
    632                        table.set("this", exp.Identifier(this=parts[1]))
    633
    634            if isinstance(table.this, exp.Identifier) and any("." in p.name for p in table.parts):
    635                alias = table.this
    636                catalog, db, this, *rest = (
    637                    exp.to_identifier(p, quoted=True)
    638                    for p in split_num_words(".".join(p.name for p in table.parts), ".", 3)
    639                )
    640
    641                if rest and this:
    642                    this = exp.Dot.build([this, *rest])  # type: ignore
    643
    644                table = exp.Table(
    645                    this=this, db=db, catalog=catalog, pivots=table.args.get("pivots")
    646                )
    647                table.meta["quoted_table"] = True
    648            else:
    649                alias = None
    650
    651            # The `INFORMATION_SCHEMA` views in BigQuery need to be qualified by a region or
    652            # dataset, so if the project identifier is omitted we need to fix the ast so that
    653            # the `INFORMATION_SCHEMA.X` bit is represented as a single (quoted) Identifier.
    654            # Otherwise, we wouldn't correctly qualify a `Table` node that references these
    655            # views, because it would seem like the "catalog" part is set, when it'd actually
    656            # be the region/dataset. Merging the two identifiers into a single one is done to
    657            # avoid producing a 4-part Table reference, which would cause issues in the schema
    658            # module, when there are 3-part table names mixed with information schema views.
    659            #
    660            # See: https://cloud.google.com/bigquery/docs/information-schema-intro#syntax
    661            table_parts = table.parts
    662            if len(table_parts) > 1 and table_parts[-2].name.upper() == "INFORMATION_SCHEMA":
    663                # We need to alias the table here to avoid breaking existing qualified columns.
    664                # This is expected to be safe, because if there's an actual alias coming up in
    665                # the token stream, it will overwrite this one. If there isn't one, we are only
    666                # exposing the name that can be used to reference the view explicitly (a no-op).
    667                exp.alias_(
    668                    table,
    669                    t.cast(exp.Identifier, alias or table_parts[-1]),
    670                    table=True,
    671                    copy=False,
    672                )
    673
    674                info_schema_view = f"{table_parts[-2].name}.{table_parts[-1].name}"
    675                table.set("this", exp.Identifier(this=info_schema_view, quoted=True))
    676                table.set("db", seq_get(table_parts, -3))
    677                table.set("catalog", seq_get(table_parts, -4))
    678
    679            return table
    680
    681        def _parse_column(self) -> t.Optional[exp.Expression]:
    682            column = super()._parse_column()
    683            if isinstance(column, exp.Column):
    684                parts = column.parts
    685                if any("." in p.name for p in parts):
    686                    catalog, db, table, this, *rest = (
    687                        exp.to_identifier(p, quoted=True)
    688                        for p in split_num_words(".".join(p.name for p in parts), ".", 4)
    689                    )
    690
    691                    if rest and this:
    692                        this = exp.Dot.build([this, *rest])  # type: ignore
    693
    694                    column = exp.Column(this=this, table=table, db=db, catalog=catalog)
    695                    column.meta["quoted_column"] = True
    696
    697            return column
    698
    699        @t.overload
    700        def _parse_json_object(self, agg: Lit[False]) -> exp.JSONObject: ...
    701
    702        @t.overload
    703        def _parse_json_object(self, agg: Lit[True]) -> exp.JSONObjectAgg: ...
    704
    705        def _parse_json_object(self, agg=False):
    706            json_object = super()._parse_json_object()
    707            array_kv_pair = seq_get(json_object.expressions, 0)
    708
    709            # Converts BQ's "signature 2" of JSON_OBJECT into SQLGlot's canonical representation
    710            # https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions#json_object_signature2
    711            if (
    712                array_kv_pair
    713                and isinstance(array_kv_pair.this, exp.Array)
    714                and isinstance(array_kv_pair.expression, exp.Array)
    715            ):
    716                keys = array_kv_pair.this.expressions
    717                values = array_kv_pair.expression.expressions
    718
    719                json_object.set(
    720                    "expressions",
    721                    [exp.JSONKeyValue(this=k, expression=v) for k, v in zip(keys, values)],
    722                )
    723
    724            return json_object
    725
    726        def _parse_bracket(
    727            self, this: t.Optional[exp.Expression] = None
    728        ) -> t.Optional[exp.Expression]:
    729            bracket = super()._parse_bracket(this)
    730
    731            if this is bracket:
    732                return bracket
    733
    734            if isinstance(bracket, exp.Bracket):
    735                for expression in bracket.expressions:
    736                    name = expression.name.upper()
    737
    738                    if name not in self.BRACKET_OFFSETS:
    739                        break
    740
    741                    offset, safe = self.BRACKET_OFFSETS[name]
    742                    bracket.set("offset", offset)
    743                    bracket.set("safe", safe)
    744                    expression.replace(expression.expressions[0])
    745
    746            return bracket
    747
    748        def _parse_unnest(self, with_alias: bool = True) -> t.Optional[exp.Unnest]:
    749            unnest = super()._parse_unnest(with_alias=with_alias)
    750
    751            if not unnest:
    752                return None
    753
    754            unnest_expr = seq_get(unnest.expressions, 0)
    755            if unnest_expr:
    756                from sqlglot.optimizer.annotate_types import annotate_types
    757
    758                unnest_expr = annotate_types(unnest_expr)
    759
    760                # Unnesting a nested array (i.e array of structs) explodes the top-level struct fields,
    761                # in contrast to other dialects such as DuckDB which flattens only the array by default
    762                if unnest_expr.is_type(exp.DataType.Type.ARRAY) and any(
    763                    array_elem.is_type(exp.DataType.Type.STRUCT)
    764                    for array_elem in unnest_expr._type.expressions
    765                ):
    766                    unnest.set("explode_array", True)
    767
    768            return unnest
    769
    770        def _parse_make_interval(self) -> exp.MakeInterval:
    771            expr = exp.MakeInterval()
    772
    773            for arg_key in expr.arg_types:
    774                value = self._parse_lambda()
    775
    776                if not value:
    777                    break
    778
    779                # Non-named arguments are filled sequentially, (optionally) followed by named arguments
    780                # that can appear in any order e.g MAKE_INTERVAL(1, minute => 5, day => 2)
    781                if isinstance(value, exp.Kwarg):
    782                    arg_key = value.this.name
    783
    784                expr.set(arg_key, value)
    785
    786                self._match(TokenType.COMMA)
    787
    788            return expr
    789
    790        def _parse_features_at_time(self) -> exp.FeaturesAtTime:
    791            expr = self.expression(
    792                exp.FeaturesAtTime,
    793                this=(self._match(TokenType.TABLE) and self._parse_table())
    794                or self._parse_select(nested=True),
    795            )
    796
    797            while self._match(TokenType.COMMA):
    798                arg = self._parse_lambda()
    799
    800                # Get the LHS of the Kwarg and set the arg to that value, e.g
    801                # "num_rows => 1" sets the expr's `num_rows` arg
    802                if arg:
    803                    expr.set(arg.this.name, arg)
    804
    805            return expr

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'>>, '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>, '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_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>, '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_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_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'>>, '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'>>, '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'>>, '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'>>, 'WHEN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.When'>>, '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>>, 'INSTR': <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>>, 'TO_HEX': <function _build_to_hex>, 'CONTAINS_SUBSTRING': <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>>, 'STRPOS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrPosition'>>, '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 = {'CAST': <function Parser.<lambda>>, 'CONVERT': <function Parser.<lambda>>, 'DECODE': <function Parser.<lambda>>, 'EXTRACT': <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>>, '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.STRUCT: 'STRUCT'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.UNION: 'UNION'>, <TokenType.NESTED: 'NESTED'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.MAP: 'MAP'>, <TokenType.TABLE: 'TABLE'>, <TokenType.LIST: 'LIST'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.RANGE: 'RANGE'>}
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>>, '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>>, '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'>}
STATEMENT_PARSERS = {<TokenType.ALTER: 'ALTER'>: <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.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>>}
BRACKET_OFFSETS = {'OFFSET': (0, False), 'ORDINAL': (1, False), 'SAFE_OFFSET': (0, True), 'SAFE_ORDINAL': (1, True)}
ID_VAR_TOKENS = {<TokenType.VARCHAR: 'VARCHAR'>, <TokenType.MERGE: 'MERGE'>, <TokenType.NATURAL: 'NATURAL'>, <TokenType.IS: 'IS'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.ANTI: 'ANTI'>, <TokenType.MAP: 'MAP'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.DATE: 'DATE'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.VIEW: 'VIEW'>, <TokenType.IPV4: 'IPV4'>, <TokenType.POINT: 'POINT'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.NAME: 'NAME'>, <TokenType.TAG: 'TAG'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.ASC: 'ASC'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.FALSE: 'FALSE'>, <TokenType.CHAR: 'CHAR'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.INT128: 'INT128'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.CACHE: 'CACHE'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.NULL: 'NULL'>, <TokenType.DATE32: 'DATE32'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.JSONB: 'JSONB'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.TOP: 'TOP'>, <TokenType.INT256: 'INT256'>, <TokenType.BIT: 'BIT'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.SINK: 'SINK'>, <TokenType.CASE: 'CASE'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.XML: 'XML'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.MONEY: 'MONEY'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.DIV: 'DIV'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.SUPER: 'SUPER'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.UUID: 'UUID'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.FILTER: 'FILTER'>, <TokenType.INT: 'INT'>, <TokenType.UINT: 'UINT'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.WINDOW: 'WINDOW'>, <TokenType.ALL: 'ALL'>, <TokenType.LEFT: 'LEFT'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.APPLY: 'APPLY'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.CUBE: 'CUBE'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.SET: 'SET'>, <TokenType.RING: 'RING'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.JSON: 'JSON'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.ROW: 'ROW'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.DESC: 'DESC'>, <TokenType.BINARY: 'BINARY'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.VAR: 'VAR'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.NEXT: 'NEXT'>, <TokenType.TIME: 'TIME'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.INDEX: 'INDEX'>, <TokenType.SHOW: 'SHOW'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.LIST: 'LIST'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.TRUE: 'TRUE'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.ANY: 'ANY'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.END: 'END'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.NESTED: 'NESTED'>, <TokenType.FIRST: 'FIRST'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.RIGHT: 'RIGHT'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.INET: 'INET'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.DELETE: 'DELETE'>, <TokenType.COPY: 'COPY'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.SOME: 'SOME'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.KEEP: 'KEEP'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.DETACH: 'DETACH'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.TEXT: 'TEXT'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.IPV6: 'IPV6'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.SEMI: 'SEMI'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.RANGE: 'RANGE'>, <TokenType.ROWS: 'ROWS'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.MODEL: 'MODEL'>, <TokenType.LOAD: 'LOAD'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.YEAR: 'YEAR'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.FINAL: 'FINAL'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.ENUM: 'ENUM'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.KILL: 'KILL'>, <TokenType.UINT256: 'UINT256'>, <TokenType.FULL: 'FULL'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.UINT128: 'UINT128'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.TABLE: 'TABLE'>, <TokenType.USE: 'USE'>, <TokenType.ASOF: 'ASOF'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>}
TABLE_ALIAS_TOKENS = {<TokenType.VARCHAR: 'VARCHAR'>, <TokenType.MERGE: 'MERGE'>, <TokenType.IS: 'IS'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.MAP: 'MAP'>, <TokenType.ANTI: 'ANTI'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.DATE: 'DATE'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.VIEW: 'VIEW'>, <TokenType.IPV4: 'IPV4'>, <TokenType.POINT: 'POINT'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.NAME: 'NAME'>, <TokenType.TAG: 'TAG'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.ASC: 'ASC'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.FALSE: 'FALSE'>, <TokenType.CHAR: 'CHAR'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.INT128: 'INT128'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.CACHE: 'CACHE'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.NULL: 'NULL'>, <TokenType.DATE32: 'DATE32'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.JSONB: 'JSONB'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.UNIQUEIDENTIFIER: 'UNIQUEIDENTIFIER'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.TOP: 'TOP'>, <TokenType.INT256: 'INT256'>, <TokenType.BIT: 'BIT'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.SINK: 'SINK'>, <TokenType.CASE: 'CASE'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.XML: 'XML'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.MONEY: 'MONEY'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.DIV: 'DIV'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.SUPER: 'SUPER'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.UUID: 'UUID'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.FILTER: 'FILTER'>, <TokenType.INT: 'INT'>, <TokenType.UINT: 'UINT'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.ALL: 'ALL'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.CUBE: 'CUBE'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.SET: 'SET'>, <TokenType.RING: 'RING'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.JSON: 'JSON'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.ROW: 'ROW'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.DESC: 'DESC'>, <TokenType.BINARY: 'BINARY'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.VAR: 'VAR'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.NEXT: 'NEXT'>, <TokenType.TIME: 'TIME'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.INDEX: 'INDEX'>, <TokenType.SHOW: 'SHOW'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.LIST: 'LIST'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.TRUE: 'TRUE'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.ANY: 'ANY'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.END: 'END'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.NESTED: 'NESTED'>, <TokenType.FIRST: 'FIRST'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.INET: 'INET'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.DELETE: 'DELETE'>, <TokenType.COPY: 'COPY'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.SOME: 'SOME'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.KEEP: 'KEEP'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.DETACH: 'DETACH'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.TEXT: 'TEXT'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.IPV6: 'IPV6'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.SEMI: 'SEMI'>, <TokenType.RANGE: 'RANGE'>, <TokenType.ROWS: 'ROWS'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.MODEL: 'MODEL'>, <TokenType.LOAD: 'LOAD'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.YEAR: 'YEAR'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.FINAL: 'FINAL'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.ENUM: 'ENUM'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.KILL: 'KILL'>, <TokenType.UINT256: 'UINT256'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.UINT128: 'UINT128'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.TABLE: 'TABLE'>, <TokenType.USE: 'USE'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>}
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
  INTERVAL_VARS
  ALIAS_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
  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
  OPERATION_MODIFIERS
  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
  error_level
  error_message_context
  max_errors
  dialect
  reset
  parse
  parse_into
  check_errors
  raise_error
  expression
  validate_expression
  errors
  sql

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

     807    class Generator(generator.Generator):
     808        INTERVAL_ALLOWS_PLURAL_FORM = False
     809        JOIN_HINTS = False
     810        QUERY_HINTS = False
     811        TABLE_HINTS = False
     812        LIMIT_FETCH = "LIMIT"
     813        RENAME_TABLE_WITH_DB = False
     814        NVL2_SUPPORTED = False
     815        UNNEST_WITH_ORDINALITY = False
     816        COLLATE_IS_FUNC = True
     817        LIMIT_ONLY_LITERALS = True
     818        SUPPORTS_TABLE_ALIAS_COLUMNS = False
     819        UNPIVOT_ALIASES_ARE_IDENTIFIERS = False
     820        JSON_KEY_VALUE_PAIR_SEP = ","
     821        NULL_ORDERING_SUPPORTED = False
     822        IGNORE_NULLS_IN_FUNC = True
     823        JSON_PATH_SINGLE_QUOTE_ESCAPE = True
     824        CAN_IMPLEMENT_ARRAY_ANY = True
     825        SUPPORTS_TO_NUMBER = False
     826        NAMED_PLACEHOLDER_TOKEN = "@"
     827        HEX_FUNC = "TO_HEX"
     828        WITH_PROPERTIES_PREFIX = "OPTIONS"
     829        SUPPORTS_EXPLODING_PROJECTIONS = False
     830        EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE = False
     831        SUPPORTS_UNIX_SECONDS = True
     832
     833        TRANSFORMS = {
     834            **generator.Generator.TRANSFORMS,
     835            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
     836            exp.ArgMax: arg_max_or_min_no_count("MAX_BY"),
     837            exp.ArgMin: arg_max_or_min_no_count("MIN_BY"),
     838            exp.Array: inline_array_unless_query,
     839            exp.ArrayContains: _array_contains_sql,
     840            exp.ArrayFilter: filter_array_using_unnest,
     841            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
     842            exp.CollateProperty: lambda self, e: (
     843                f"DEFAULT COLLATE {self.sql(e, 'this')}"
     844                if e.args.get("default")
     845                else f"COLLATE {self.sql(e, 'this')}"
     846            ),
     847            exp.Commit: lambda *_: "COMMIT TRANSACTION",
     848            exp.CountIf: rename_func("COUNTIF"),
     849            exp.Create: _create_sql,
     850            exp.CTE: transforms.preprocess([_pushdown_cte_column_names]),
     851            exp.DateAdd: date_add_interval_sql("DATE", "ADD"),
     852            exp.DateDiff: lambda self, e: self.func(
     853                "DATE_DIFF", e.this, e.expression, unit_to_var(e)
     854            ),
     855            exp.DateFromParts: rename_func("DATE"),
     856            exp.DateStrToDate: datestrtodate_sql,
     857            exp.DateSub: date_add_interval_sql("DATE", "SUB"),
     858            exp.DatetimeAdd: date_add_interval_sql("DATETIME", "ADD"),
     859            exp.DatetimeSub: date_add_interval_sql("DATETIME", "SUB"),
     860            exp.DateTrunc: lambda self, e: self.func(
     861                "DATE_TRUNC", e.this, e.text("unit"), e.args.get("zone")
     862            ),
     863            exp.FromTimeZone: lambda self, e: self.func(
     864                "DATETIME", self.func("TIMESTAMP", e.this, e.args.get("zone")), "'UTC'"
     865            ),
     866            exp.GenerateSeries: rename_func("GENERATE_ARRAY"),
     867            exp.GroupConcat: rename_func("STRING_AGG"),
     868            exp.Hex: lambda self, e: self.func("UPPER", self.func("TO_HEX", self.sql(e, "this"))),
     869            exp.If: if_sql(false_value="NULL"),
     870            exp.ILike: no_ilike_sql,
     871            exp.IntDiv: rename_func("DIV"),
     872            exp.Int64: rename_func("INT64"),
     873            exp.JSONFormat: rename_func("TO_JSON_STRING"),
     874            exp.Levenshtein: _levenshtein_sql,
     875            exp.Max: max_or_greatest,
     876            exp.MD5: lambda self, e: self.func("TO_HEX", self.func("MD5", e.this)),
     877            exp.MD5Digest: rename_func("MD5"),
     878            exp.Min: min_or_least,
     879            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
     880            exp.RegexpExtract: lambda self, e: self.func(
     881                "REGEXP_EXTRACT",
     882                e.this,
     883                e.expression,
     884                e.args.get("position"),
     885                e.args.get("occurrence"),
     886            ),
     887            exp.RegexpExtractAll: lambda self, e: self.func(
     888                "REGEXP_EXTRACT_ALL", e.this, e.expression
     889            ),
     890            exp.RegexpReplace: regexp_replace_sql,
     891            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
     892            exp.ReturnsProperty: _returnsproperty_sql,
     893            exp.Rollback: lambda *_: "ROLLBACK TRANSACTION",
     894            exp.Select: transforms.preprocess(
     895                [
     896                    transforms.explode_to_unnest(),
     897                    transforms.unqualify_unnest,
     898                    transforms.eliminate_distinct_on,
     899                    _alias_ordered_group,
     900                    transforms.eliminate_semi_and_anti_joins,
     901                ]
     902            ),
     903            exp.SHA: rename_func("SHA1"),
     904            exp.SHA2: sha256_sql,
     905            exp.StabilityProperty: lambda self, e: (
     906                "DETERMINISTIC" if e.name == "IMMUTABLE" else "NOT DETERMINISTIC"
     907            ),
     908            exp.String: rename_func("STRING"),
     909            exp.StrPosition: str_position_sql,
     910            exp.StrToDate: _str_to_datetime_sql,
     911            exp.StrToTime: _str_to_datetime_sql,
     912            exp.TimeAdd: date_add_interval_sql("TIME", "ADD"),
     913            exp.TimeFromParts: rename_func("TIME"),
     914            exp.TimestampFromParts: rename_func("DATETIME"),
     915            exp.TimeSub: date_add_interval_sql("TIME", "SUB"),
     916            exp.TimestampAdd: date_add_interval_sql("TIMESTAMP", "ADD"),
     917            exp.TimestampDiff: rename_func("TIMESTAMP_DIFF"),
     918            exp.TimestampSub: date_add_interval_sql("TIMESTAMP", "SUB"),
     919            exp.TimeStrToTime: timestrtotime_sql,
     920            exp.Transaction: lambda *_: "BEGIN TRANSACTION",
     921            exp.TsOrDsAdd: _ts_or_ds_add_sql,
     922            exp.TsOrDsDiff: _ts_or_ds_diff_sql,
     923            exp.TsOrDsToTime: rename_func("TIME"),
     924            exp.TsOrDsToDatetime: rename_func("DATETIME"),
     925            exp.TsOrDsToTimestamp: rename_func("TIMESTAMP"),
     926            exp.Unhex: rename_func("FROM_HEX"),
     927            exp.UnixDate: rename_func("UNIX_DATE"),
     928            exp.UnixToTime: _unix_to_time_sql,
     929            exp.Uuid: lambda *_: "GENERATE_UUID()",
     930            exp.Values: _derived_table_values_to_unnest,
     931            exp.VariancePop: rename_func("VAR_POP"),
     932        }
     933
     934        SUPPORTED_JSON_PATH_PARTS = {
     935            exp.JSONPathKey,
     936            exp.JSONPathRoot,
     937            exp.JSONPathSubscript,
     938        }
     939
     940        TYPE_MAPPING = {
     941            **generator.Generator.TYPE_MAPPING,
     942            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
     943            exp.DataType.Type.BIGINT: "INT64",
     944            exp.DataType.Type.BINARY: "BYTES",
     945            exp.DataType.Type.BOOLEAN: "BOOL",
     946            exp.DataType.Type.CHAR: "STRING",
     947            exp.DataType.Type.DECIMAL: "NUMERIC",
     948            exp.DataType.Type.DOUBLE: "FLOAT64",
     949            exp.DataType.Type.FLOAT: "FLOAT64",
     950            exp.DataType.Type.INT: "INT64",
     951            exp.DataType.Type.NCHAR: "STRING",
     952            exp.DataType.Type.NVARCHAR: "STRING",
     953            exp.DataType.Type.SMALLINT: "INT64",
     954            exp.DataType.Type.TEXT: "STRING",
     955            exp.DataType.Type.TIMESTAMP: "DATETIME",
     956            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
     957            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
     958            exp.DataType.Type.TINYINT: "INT64",
     959            exp.DataType.Type.ROWVERSION: "BYTES",
     960            exp.DataType.Type.UUID: "STRING",
     961            exp.DataType.Type.VARBINARY: "BYTES",
     962            exp.DataType.Type.VARCHAR: "STRING",
     963            exp.DataType.Type.VARIANT: "ANY TYPE",
     964        }
     965
     966        PROPERTIES_LOCATION = {
     967            **generator.Generator.PROPERTIES_LOCATION,
     968            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
     969            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
     970        }
     971
     972        # WINDOW comes after QUALIFY
     973        # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#window_clause
     974        AFTER_HAVING_MODIFIER_TRANSFORMS = {
     975            "qualify": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["qualify"],
     976            "windows": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["windows"],
     977        }
     978
     979        # from: https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#reserved_keywords
     980        RESERVED_KEYWORDS = {
     981            "all",
     982            "and",
     983            "any",
     984            "array",
     985            "as",
     986            "asc",
     987            "assert_rows_modified",
     988            "at",
     989            "between",
     990            "by",
     991            "case",
     992            "cast",
     993            "collate",
     994            "contains",
     995            "create",
     996            "cross",
     997            "cube",
     998            "current",
     999            "default",
    1000            "define",
    1001            "desc",
    1002            "distinct",
    1003            "else",
    1004            "end",
    1005            "enum",
    1006            "escape",
    1007            "except",
    1008            "exclude",
    1009            "exists",
    1010            "extract",
    1011            "false",
    1012            "fetch",
    1013            "following",
    1014            "for",
    1015            "from",
    1016            "full",
    1017            "group",
    1018            "grouping",
    1019            "groups",
    1020            "hash",
    1021            "having",
    1022            "if",
    1023            "ignore",
    1024            "in",
    1025            "inner",
    1026            "intersect",
    1027            "interval",
    1028            "into",
    1029            "is",
    1030            "join",
    1031            "lateral",
    1032            "left",
    1033            "like",
    1034            "limit",
    1035            "lookup",
    1036            "merge",
    1037            "natural",
    1038            "new",
    1039            "no",
    1040            "not",
    1041            "null",
    1042            "nulls",
    1043            "of",
    1044            "on",
    1045            "or",
    1046            "order",
    1047            "outer",
    1048            "over",
    1049            "partition",
    1050            "preceding",
    1051            "proto",
    1052            "qualify",
    1053            "range",
    1054            "recursive",
    1055            "respect",
    1056            "right",
    1057            "rollup",
    1058            "rows",
    1059            "select",
    1060            "set",
    1061            "some",
    1062            "struct",
    1063            "tablesample",
    1064            "then",
    1065            "to",
    1066            "treat",
    1067            "true",
    1068            "unbounded",
    1069            "union",
    1070            "unnest",
    1071            "using",
    1072            "when",
    1073            "where",
    1074            "window",
    1075            "with",
    1076            "within",
    1077        }
    1078
    1079        def mod_sql(self, expression: exp.Mod) -> str:
    1080            this = expression.this
    1081            expr = expression.expression
    1082            return self.func(
    1083                "MOD",
    1084                this.unnest() if isinstance(this, exp.Paren) else this,
    1085                expr.unnest() if isinstance(expr, exp.Paren) else expr,
    1086            )
    1087
    1088        def column_parts(self, expression: exp.Column) -> str:
    1089            if expression.meta.get("quoted_column"):
    1090                # If a column reference is of the form `dataset.table`.name, we need
    1091                # to preserve the quoted table path, otherwise the reference breaks
    1092                table_parts = ".".join(p.name for p in expression.parts[:-1])
    1093                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
    1094                return f"{table_path}.{self.sql(expression, 'this')}"
    1095
    1096            return super().column_parts(expression)
    1097
    1098        def table_parts(self, expression: exp.Table) -> str:
    1099            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
    1100            # we need to make sure the correct quoting is used in each case.
    1101            #
    1102            # For example, if there is a CTE x that clashes with a schema name, then the former will
    1103            # return the table y in that schema, whereas the latter will return the CTE's y column:
    1104            #
    1105            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
    1106            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
    1107            if expression.meta.get("quoted_table"):
    1108                table_parts = ".".join(p.name for p in expression.parts)
    1109                return self.sql(exp.Identifier(this=table_parts, quoted=True))
    1110
    1111            return super().table_parts(expression)
    1112
    1113        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
    1114            this = expression.this
    1115            if isinstance(this, exp.TsOrDsToDatetime):
    1116                func_name = "FORMAT_DATETIME"
    1117            elif isinstance(this, exp.TsOrDsToTimestamp):
    1118                func_name = "FORMAT_TIMESTAMP"
    1119            else:
    1120                func_name = "FORMAT_DATE"
    1121
    1122            time_expr = (
    1123                this
    1124                if isinstance(this, (exp.TsOrDsToDatetime, exp.TsOrDsToTimestamp, exp.TsOrDsToDate))
    1125                else expression
    1126            )
    1127            return self.func(func_name, self.format_time(expression), time_expr.this)
    1128
    1129        def eq_sql(self, expression: exp.EQ) -> str:
    1130            # Operands of = cannot be NULL in BigQuery
    1131            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
    1132                if not isinstance(expression.parent, exp.Update):
    1133                    return "NULL"
    1134
    1135            return self.binary(expression, "=")
    1136
    1137        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
    1138            parent = expression.parent
    1139
    1140            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
    1141            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
    1142            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
    1143                return self.func(
    1144                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
    1145                )
    1146
    1147            return super().attimezone_sql(expression)
    1148
    1149        def trycast_sql(self, expression: exp.TryCast) -> str:
    1150            return self.cast_sql(expression, safe_prefix="SAFE_")
    1151
    1152        def bracket_sql(self, expression: exp.Bracket) -> str:
    1153            this = expression.this
    1154            expressions = expression.expressions
    1155
    1156            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
    1157                arg = expressions[0]
    1158                if arg.type is None:
    1159                    from sqlglot.optimizer.annotate_types import annotate_types
    1160
    1161                    arg = annotate_types(arg)
    1162
    1163                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
    1164                    # BQ doesn't support bracket syntax with string values for structs
    1165                    return f"{self.sql(this)}.{arg.name}"
    1166
    1167            expressions_sql = self.expressions(expression, flat=True)
    1168            offset = expression.args.get("offset")
    1169
    1170            if offset == 0:
    1171                expressions_sql = f"OFFSET({expressions_sql})"
    1172            elif offset == 1:
    1173                expressions_sql = f"ORDINAL({expressions_sql})"
    1174            elif offset is not None:
    1175                self.unsupported(f"Unsupported array offset: {offset}")
    1176
    1177            if expression.args.get("safe"):
    1178                expressions_sql = f"SAFE_{expressions_sql}"
    1179
    1180            return f"{self.sql(this)}[{expressions_sql}]"
    1181
    1182        def in_unnest_op(self, expression: exp.Unnest) -> str:
    1183            return self.sql(expression)
    1184
    1185        def version_sql(self, expression: exp.Version) -> str:
    1186            if expression.name == "TIMESTAMP":
    1187                expression.set("this", "SYSTEM_TIME")
    1188            return super().version_sql(expression)
    1189
    1190        def contains_sql(self, expression: exp.Contains) -> str:
    1191            this = expression.this
    1192            expr = expression.expression
    1193
    1194            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
    1195                this = this.this
    1196                expr = expr.this
    1197
    1198            return self.func("CONTAINS_SUBSTRING", this, expr)

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.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.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.CopyGrantsProperty'>: <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.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.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.PivotAny'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ProjectionPolicyColumnConstraint'>: <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.TemporaryProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Tags'>: <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.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.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 rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Hex'>: <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.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 str_position_sql>, <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>>}
SUPPORTED_JSON_PATH_PARTS = {<class 'sqlglot.expressions.JSONPathKey'>, <class 'sqlglot.expressions.JSONPathSubscript'>, <class 'sqlglot.expressions.JSONPathRoot'>}
TYPE_MAPPING = {<Type.NCHAR: 'NCHAR'>: 'STRING', <Type.NVARCHAR: 'NVARCHAR'>: 'STRING', <Type.MEDIUMTEXT: 'MEDIUMTEXT'>: 'TEXT', <Type.LONGTEXT: 'LONGTEXT'>: 'TEXT', <Type.TINYTEXT: 'TINYTEXT'>: 'TEXT', <Type.MEDIUMBLOB: 'MEDIUMBLOB'>: 'BLOB', <Type.LONGBLOB: 'LONGBLOB'>: 'BLOB', <Type.TINYBLOB: 'TINYBLOB'>: 'BLOB', <Type.INET: 'INET'>: 'INET', <Type.ROWVERSION: 'ROWVERSION'>: 'BYTES', <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.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.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.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.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'>}
AFTER_HAVING_MODIFIER_TRANSFORMS = {'qualify': <function Generator.<lambda>>, 'windows': <function Generator.<lambda>>}
RESERVED_KEYWORDS = {'escape', 'default', 'null', 'inner', 'no', 'cast', 'into', 'outer', 'contains', 'join', 'extract', 'tablesample', 'when', 'qualify', 'where', 'else', 'merge', 'unnest', 'with', 'struct', 'treat', 'if', 'limit', 'respect', 'left', 'desc', 'any', 'in', 'proto', 'false', 'recursive', 'cube', 'by', 'set', 'array', 'end', 'define', 'lateral', 'between', 'exclude', 'hash', 'grouping', 'from', 'range', 'natural', 'then', 'right', 'preceding', 'enum', 'within', 'unbounded', 'is', 'following', 'exists', 'not', 'of', 'or', 'groups', 'full', 'intersect', 'interval', 'asc', 'select', 'like', 'true', 'partition', 'except', 'rows', 'using', 'fetch', 'window', 'assert_rows_modified', 'cross', 'union', 'current', 'lookup', 'group', 'case', 'order', 'as', 'ignore', 'rollup', 'having', 'nulls', 'on', 'over', 'collate', 'create', 'to', 'all', 'and', 'for', 'some', 'at', 'new', 'distinct'}
def mod_sql(self, expression: sqlglot.expressions.Mod) -> str: View Source

    1079        def mod_sql(self, expression: exp.Mod) -> str:
    1080            this = expression.this
    1081            expr = expression.expression
    1082            return self.func(
    1083                "MOD",
    1084                this.unnest() if isinstance(this, exp.Paren) else this,
    1085                expr.unnest() if isinstance(expr, exp.Paren) else expr,
    1086            )

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

    1088        def column_parts(self, expression: exp.Column) -> str:
    1089            if expression.meta.get("quoted_column"):
    1090                # If a column reference is of the form `dataset.table`.name, we need
    1091                # to preserve the quoted table path, otherwise the reference breaks
    1092                table_parts = ".".join(p.name for p in expression.parts[:-1])
    1093                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
    1094                return f"{table_path}.{self.sql(expression, 'this')}"
    1095
    1096            return super().column_parts(expression)

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

    1098        def table_parts(self, expression: exp.Table) -> str:
    1099            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
    1100            # we need to make sure the correct quoting is used in each case.
    1101            #
    1102            # For example, if there is a CTE x that clashes with a schema name, then the former will
    1103            # return the table y in that schema, whereas the latter will return the CTE's y column:
    1104            #
    1105            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
    1106            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
    1107            if expression.meta.get("quoted_table"):
    1108                table_parts = ".".join(p.name for p in expression.parts)
    1109                return self.sql(exp.Identifier(this=table_parts, quoted=True))
    1110
    1111            return super().table_parts(expression)

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

    1113        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
    1114            this = expression.this
    1115            if isinstance(this, exp.TsOrDsToDatetime):
    1116                func_name = "FORMAT_DATETIME"
    1117            elif isinstance(this, exp.TsOrDsToTimestamp):
    1118                func_name = "FORMAT_TIMESTAMP"
    1119            else:
    1120                func_name = "FORMAT_DATE"
    1121
    1122            time_expr = (
    1123                this
    1124                if isinstance(this, (exp.TsOrDsToDatetime, exp.TsOrDsToTimestamp, exp.TsOrDsToDate))
    1125                else expression
    1126            )
    1127            return self.func(func_name, self.format_time(expression), time_expr.this)

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

    1129        def eq_sql(self, expression: exp.EQ) -> str:
    1130            # Operands of = cannot be NULL in BigQuery
    1131            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
    1132                if not isinstance(expression.parent, exp.Update):
    1133                    return "NULL"
    1134
    1135            return self.binary(expression, "=")

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

    1137        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
    1138            parent = expression.parent
    1139
    1140            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
    1141            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
    1142            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
    1143                return self.func(
    1144                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
    1145                )
    1146
    1147            return super().attimezone_sql(expression)

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

    1149        def trycast_sql(self, expression: exp.TryCast) -> str:
    1150            return self.cast_sql(expression, safe_prefix="SAFE_")

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

    1152        def bracket_sql(self, expression: exp.Bracket) -> str:
    1153            this = expression.this
    1154            expressions = expression.expressions
    1155
    1156            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
    1157                arg = expressions[0]
    1158                if arg.type is None:
    1159                    from sqlglot.optimizer.annotate_types import annotate_types
    1160
    1161                    arg = annotate_types(arg)
    1162
    1163                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
    1164                    # BQ doesn't support bracket syntax with string values for structs
    1165                    return f"{self.sql(this)}.{arg.name}"
    1166
    1167            expressions_sql = self.expressions(expression, flat=True)
    1168            offset = expression.args.get("offset")
    1169
    1170            if offset == 0:
    1171                expressions_sql = f"OFFSET({expressions_sql})"
    1172            elif offset == 1:
    1173                expressions_sql = f"ORDINAL({expressions_sql})"
    1174            elif offset is not None:
    1175                self.unsupported(f"Unsupported array offset: {offset}")
    1176
    1177            if expression.args.get("safe"):
    1178                expressions_sql = f"SAFE_{expressions_sql}"
    1179
    1180            return f"{self.sql(this)}[{expressions_sql}]"

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

    1182        def in_unnest_op(self, expression: exp.Unnest) -> str:
    1183            return self.sql(expression)

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

    1185        def version_sql(self, expression: exp.Version) -> str:
    1186            if expression.name == "TIMESTAMP":
    1187                expression.set("this", "SYSTEM_TIME")
    1188            return super().version_sql(expression)

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

    1190        def contains_sql(self, expression: exp.Contains) -> str:
    1191            this = expression.this
    1192            expr = expression.expression
    1193
    1194            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
    1195                this = this.this
    1196                expr = expr.this
    1197
    1198            return self.func("CONTAINS_SUBSTRING", this, expr)

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
  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
  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
  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
  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
  cast_sql
  currentdate_sql
  collate_sql
  command_sql
  comment_sql
  mergetreettlaction_sql
  mergetreettl_sql
  transaction_sql
  commit_sql
  rollback_sql
  altercolumn_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
  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
  try_sql
  log_sql
  use_sql
  binary
  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
  merge_sql
  tochar_sql
  tonumber_sql
  dictproperty_sql
  dictrange_sql
  dictsubproperty_sql
  duplicatekeyproperty_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
  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