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sqlglot.dialects.bigquery

   1from __future__ import annotations
   2
   3import logging
   4import re
   5import typing as t
   6
   7
   8from sqlglot.optimizer.annotate_types import TypeAnnotator
   9
  10from sqlglot import exp, generator, jsonpath, parser, tokens, transforms
  11from sqlglot._typing import E
  12from sqlglot.dialects.dialect import (
  13    Dialect,
  14    NormalizationStrategy,
  15    annotate_with_type_lambda,
  16    arg_max_or_min_no_count,
  17    binary_from_function,
  18    date_add_interval_sql,
  19    datestrtodate_sql,
  20    build_formatted_time,
  21    filter_array_using_unnest,
  22    if_sql,
  23    inline_array_unless_query,
  24    max_or_greatest,
  25    min_or_least,
  26    no_ilike_sql,
  27    build_date_delta_with_interval,
  28    regexp_replace_sql,
  29    rename_func,
  30    sha256_sql,
  31    timestrtotime_sql,
  32    ts_or_ds_add_cast,
  33    unit_to_var,
  34    strposition_sql,
  35    groupconcat_sql,
  36)
  37from sqlglot.helper import seq_get, split_num_words
  38from sqlglot.tokens import TokenType
  39from sqlglot.generator import unsupported_args
  40
  41if t.TYPE_CHECKING:
  42    from sqlglot._typing import Lit
  43
  44    from sqlglot.optimizer.annotate_types import TypeAnnotator
  45
  46logger = logging.getLogger("sqlglot")
  47
  48
  49JSON_EXTRACT_TYPE = t.Union[exp.JSONExtract, exp.JSONExtractScalar, exp.JSONExtractArray]
  50
  51DQUOTES_ESCAPING_JSON_FUNCTIONS = ("JSON_QUERY", "JSON_VALUE", "JSON_QUERY_ARRAY")
  52
  53
  54def _derived_table_values_to_unnest(self: BigQuery.Generator, expression: exp.Values) -> str:
  55    if not expression.find_ancestor(exp.From, exp.Join):
  56        return self.values_sql(expression)
  57
  58    structs = []
  59    alias = expression.args.get("alias")
  60    for tup in expression.find_all(exp.Tuple):
  61        field_aliases = (
  62            alias.columns
  63            if alias and alias.columns
  64            else (f"_c{i}" for i in range(len(tup.expressions)))
  65        )
  66        expressions = [
  67            exp.PropertyEQ(this=exp.to_identifier(name), expression=fld)
  68            for name, fld in zip(field_aliases, tup.expressions)
  69        ]
  70        structs.append(exp.Struct(expressions=expressions))
  71
  72    # Due to `UNNEST_COLUMN_ONLY`, it is expected that the table alias be contained in the columns expression
  73    alias_name_only = exp.TableAlias(columns=[alias.this]) if alias else None
  74    return self.unnest_sql(
  75        exp.Unnest(expressions=[exp.array(*structs, copy=False)], alias=alias_name_only)
  76    )
  77
  78
  79def _returnsproperty_sql(self: BigQuery.Generator, expression: exp.ReturnsProperty) -> str:
  80    this = expression.this
  81    if isinstance(this, exp.Schema):
  82        this = f"{self.sql(this, 'this')} <{self.expressions(this)}>"
  83    else:
  84        this = self.sql(this)
  85    return f"RETURNS {this}"
  86
  87
  88def _create_sql(self: BigQuery.Generator, expression: exp.Create) -> str:
  89    returns = expression.find(exp.ReturnsProperty)
  90    if expression.kind == "FUNCTION" and returns and returns.args.get("is_table"):
  91        expression.set("kind", "TABLE FUNCTION")
  92
  93        if isinstance(expression.expression, (exp.Subquery, exp.Literal)):
  94            expression.set("expression", expression.expression.this)
  95
  96    return self.create_sql(expression)
  97
  98
  99# https://issuetracker.google.com/issues/162294746
 100# workaround for bigquery bug when grouping by an expression and then ordering
 101# WITH x AS (SELECT 1 y)
 102# SELECT y + 1 z
 103# FROM x
 104# GROUP BY x + 1
 105# ORDER by z
 106def _alias_ordered_group(expression: exp.Expression) -> exp.Expression:
 107    if isinstance(expression, exp.Select):
 108        group = expression.args.get("group")
 109        order = expression.args.get("order")
 110
 111        if group and order:
 112            aliases = {
 113                select.this: select.args["alias"]
 114                for select in expression.selects
 115                if isinstance(select, exp.Alias)
 116            }
 117
 118            for grouped in group.expressions:
 119                if grouped.is_int:
 120                    continue
 121                alias = aliases.get(grouped)
 122                if alias:
 123                    grouped.replace(exp.column(alias))
 124
 125    return expression
 126
 127
 128def _pushdown_cte_column_names(expression: exp.Expression) -> exp.Expression:
 129    """BigQuery doesn't allow column names when defining a CTE, so we try to push them down."""
 130    if isinstance(expression, exp.CTE) and expression.alias_column_names:
 131        cte_query = expression.this
 132
 133        if cte_query.is_star:
 134            logger.warning(
 135                "Can't push down CTE column names for star queries. Run the query through"
 136                " the optimizer or use 'qualify' to expand the star projections first."
 137            )
 138            return expression
 139
 140        column_names = expression.alias_column_names
 141        expression.args["alias"].set("columns", None)
 142
 143        for name, select in zip(column_names, cte_query.selects):
 144            to_replace = select
 145
 146            if isinstance(select, exp.Alias):
 147                select = select.this
 148
 149            # Inner aliases are shadowed by the CTE column names
 150            to_replace.replace(exp.alias_(select, name))
 151
 152    return expression
 153
 154
 155def _build_parse_timestamp(args: t.List) -> exp.StrToTime:
 156    this = build_formatted_time(exp.StrToTime, "bigquery")([seq_get(args, 1), seq_get(args, 0)])
 157    this.set("zone", seq_get(args, 2))
 158    return this
 159
 160
 161def _build_timestamp(args: t.List) -> exp.Timestamp:
 162    timestamp = exp.Timestamp.from_arg_list(args)
 163    timestamp.set("with_tz", True)
 164    return timestamp
 165
 166
 167def _build_date(args: t.List) -> exp.Date | exp.DateFromParts:
 168    expr_type = exp.DateFromParts if len(args) == 3 else exp.Date
 169    return expr_type.from_arg_list(args)
 170
 171
 172def _build_to_hex(args: t.List) -> exp.Hex | exp.MD5:
 173    # TO_HEX(MD5(..)) is common in BigQuery, so it's parsed into MD5 to simplify its transpilation
 174    arg = seq_get(args, 0)
 175    return exp.MD5(this=arg.this) if isinstance(arg, exp.MD5Digest) else exp.LowerHex(this=arg)
 176
 177
 178def _build_json_strip_nulls(args: t.List) -> exp.JSONStripNulls:
 179    expression = exp.JSONStripNulls(this=seq_get(args, 0))
 180
 181    for arg in args[1:]:
 182        if isinstance(arg, exp.Kwarg):
 183            expression.set(arg.this.name.lower(), arg)
 184        else:
 185            expression.set("expression", arg)
 186
 187    return expression
 188
 189
 190def _array_contains_sql(self: BigQuery.Generator, expression: exp.ArrayContains) -> str:
 191    return self.sql(
 192        exp.Exists(
 193            this=exp.select("1")
 194            .from_(exp.Unnest(expressions=[expression.left]).as_("_unnest", table=["_col"]))
 195            .where(exp.column("_col").eq(expression.right))
 196        )
 197    )
 198
 199
 200def _ts_or_ds_add_sql(self: BigQuery.Generator, expression: exp.TsOrDsAdd) -> str:
 201    return date_add_interval_sql("DATE", "ADD")(self, ts_or_ds_add_cast(expression))
 202
 203
 204def _ts_or_ds_diff_sql(self: BigQuery.Generator, expression: exp.TsOrDsDiff) -> str:
 205    expression.this.replace(exp.cast(expression.this, exp.DataType.Type.TIMESTAMP))
 206    expression.expression.replace(exp.cast(expression.expression, exp.DataType.Type.TIMESTAMP))
 207    unit = unit_to_var(expression)
 208    return self.func("DATE_DIFF", expression.this, expression.expression, unit)
 209
 210
 211def _unix_to_time_sql(self: BigQuery.Generator, expression: exp.UnixToTime) -> str:
 212    scale = expression.args.get("scale")
 213    timestamp = expression.this
 214
 215    if scale in (None, exp.UnixToTime.SECONDS):
 216        return self.func("TIMESTAMP_SECONDS", timestamp)
 217    if scale == exp.UnixToTime.MILLIS:
 218        return self.func("TIMESTAMP_MILLIS", timestamp)
 219    if scale == exp.UnixToTime.MICROS:
 220        return self.func("TIMESTAMP_MICROS", timestamp)
 221
 222    unix_seconds = exp.cast(
 223        exp.Div(this=timestamp, expression=exp.func("POW", 10, scale)), exp.DataType.Type.BIGINT
 224    )
 225    return self.func("TIMESTAMP_SECONDS", unix_seconds)
 226
 227
 228def _build_time(args: t.List) -> exp.Func:
 229    if len(args) == 1:
 230        return exp.TsOrDsToTime(this=args[0])
 231    if len(args) == 2:
 232        return exp.Time.from_arg_list(args)
 233    return exp.TimeFromParts.from_arg_list(args)
 234
 235
 236def _build_datetime(args: t.List) -> exp.Func:
 237    if len(args) == 1:
 238        return exp.TsOrDsToDatetime.from_arg_list(args)
 239    if len(args) == 2:
 240        return exp.Datetime.from_arg_list(args)
 241    return exp.TimestampFromParts.from_arg_list(args)
 242
 243
 244def _build_regexp_extract(
 245    expr_type: t.Type[E], default_group: t.Optional[exp.Expression] = None
 246) -> t.Callable[[t.List], E]:
 247    def _builder(args: t.List) -> E:
 248        try:
 249            group = re.compile(args[1].name).groups == 1
 250        except re.error:
 251            group = False
 252
 253        # Default group is used for the transpilation of REGEXP_EXTRACT_ALL
 254        return expr_type(
 255            this=seq_get(args, 0),
 256            expression=seq_get(args, 1),
 257            position=seq_get(args, 2),
 258            occurrence=seq_get(args, 3),
 259            group=exp.Literal.number(1) if group else default_group,
 260        )
 261
 262    return _builder
 263
 264
 265def _build_extract_json_with_default_path(expr_type: t.Type[E]) -> t.Callable[[t.List, Dialect], E]:
 266    def _builder(args: t.List, dialect: Dialect) -> E:
 267        if len(args) == 1:
 268            # The default value for the JSONPath is '$' i.e all of the data
 269            args.append(exp.Literal.string("$"))
 270        return parser.build_extract_json_with_path(expr_type)(args, dialect)
 271
 272    return _builder
 273
 274
 275def _str_to_datetime_sql(
 276    self: BigQuery.Generator, expression: exp.StrToDate | exp.StrToTime
 277) -> str:
 278    this = self.sql(expression, "this")
 279    dtype = "DATE" if isinstance(expression, exp.StrToDate) else "TIMESTAMP"
 280
 281    if expression.args.get("safe"):
 282        fmt = self.format_time(
 283            expression,
 284            self.dialect.INVERSE_FORMAT_MAPPING,
 285            self.dialect.INVERSE_FORMAT_TRIE,
 286        )
 287        return f"SAFE_CAST({this} AS {dtype} FORMAT {fmt})"
 288
 289    fmt = self.format_time(expression)
 290    return self.func(f"PARSE_{dtype}", fmt, this, expression.args.get("zone"))
 291
 292
 293def _annotate_math_functions(self: TypeAnnotator, expression: E) -> E:
 294    """
 295    Many BigQuery math functions such as CEIL, FLOOR etc follow this return type convention:
 296    +---------+---------+---------+------------+---------+
 297    |  INPUT  | INT64   | NUMERIC | BIGNUMERIC | FLOAT64 |
 298    +---------+---------+---------+------------+---------+
 299    |  OUTPUT | FLOAT64 | NUMERIC | BIGNUMERIC | FLOAT64 |
 300    +---------+---------+---------+------------+---------+
 301    """
 302    self._annotate_args(expression)
 303
 304    this: exp.Expression = expression.this
 305
 306    self._set_type(
 307        expression,
 308        exp.DataType.Type.DOUBLE if this.is_type(*exp.DataType.INTEGER_TYPES) else this.type,
 309    )
 310    return expression
 311
 312
 313def _annotate_by_args_with_coerce(self: TypeAnnotator, expression: E) -> E:
 314    """
 315    +------------+------------+------------+-------------+---------+
 316    | INPUT      | INT64      | NUMERIC    | BIGNUMERIC  | FLOAT64 |
 317    +------------+------------+------------+-------------+---------+
 318    | INT64      | INT64      | NUMERIC    | BIGNUMERIC  | FLOAT64 |
 319    | NUMERIC    | NUMERIC    | NUMERIC    | BIGNUMERIC  | FLOAT64 |
 320    | BIGNUMERIC | BIGNUMERIC | BIGNUMERIC | BIGNUMERIC  | FLOAT64 |
 321    | FLOAT64    | FLOAT64    | FLOAT64    | FLOAT64     | FLOAT64 |
 322    +------------+------------+------------+-------------+---------+
 323    """
 324    self._annotate_args(expression)
 325
 326    self._set_type(expression, self._maybe_coerce(expression.this.type, expression.expression.type))
 327    return expression
 328
 329
 330def _annotate_by_args_approx_top(self: TypeAnnotator, expression: exp.ApproxTopK) -> exp.ApproxTopK:
 331    self._annotate_args(expression)
 332
 333    struct_type = exp.DataType(
 334        this=exp.DataType.Type.STRUCT,
 335        expressions=[expression.this.type, exp.DataType(this=exp.DataType.Type.BIGINT)],
 336        nested=True,
 337    )
 338    self._set_type(
 339        expression,
 340        exp.DataType(this=exp.DataType.Type.ARRAY, expressions=[struct_type], nested=True),
 341    )
 342
 343    return expression
 344
 345
 346@unsupported_args("ins_cost", "del_cost", "sub_cost")
 347def _levenshtein_sql(self: BigQuery.Generator, expression: exp.Levenshtein) -> str:
 348    max_dist = expression.args.get("max_dist")
 349    if max_dist:
 350        max_dist = exp.Kwarg(this=exp.var("max_distance"), expression=max_dist)
 351
 352    return self.func("EDIT_DISTANCE", expression.this, expression.expression, max_dist)
 353
 354
 355def _build_levenshtein(args: t.List) -> exp.Levenshtein:
 356    max_dist = seq_get(args, 2)
 357    return exp.Levenshtein(
 358        this=seq_get(args, 0),
 359        expression=seq_get(args, 1),
 360        max_dist=max_dist.expression if max_dist else None,
 361    )
 362
 363
 364def _build_format_time(expr_type: t.Type[exp.Expression]) -> t.Callable[[t.List], exp.TimeToStr]:
 365    def _builder(args: t.List) -> exp.TimeToStr:
 366        return exp.TimeToStr(
 367            this=expr_type(this=seq_get(args, 1)),
 368            format=seq_get(args, 0),
 369            zone=seq_get(args, 2),
 370        )
 371
 372    return _builder
 373
 374
 375def _build_contains_substring(args: t.List) -> exp.Contains:
 376    # Lowercase the operands in case of transpilation, as exp.Contains
 377    # is case-sensitive on other dialects
 378    this = exp.Lower(this=seq_get(args, 0))
 379    expr = exp.Lower(this=seq_get(args, 1))
 380
 381    return exp.Contains(this=this, expression=expr, json_scope=seq_get(args, 2))
 382
 383
 384def _json_extract_sql(self: BigQuery.Generator, expression: JSON_EXTRACT_TYPE) -> str:
 385    name = (expression._meta and expression.meta.get("name")) or expression.sql_name()
 386    upper = name.upper()
 387
 388    dquote_escaping = upper in DQUOTES_ESCAPING_JSON_FUNCTIONS
 389
 390    if dquote_escaping:
 391        self._quote_json_path_key_using_brackets = False
 392
 393    sql = rename_func(upper)(self, expression)
 394
 395    if dquote_escaping:
 396        self._quote_json_path_key_using_brackets = True
 397
 398    return sql
 399
 400
 401def _annotate_concat(self: TypeAnnotator, expression: exp.Concat) -> exp.Concat:
 402    annotated = self._annotate_by_args(expression, "expressions")
 403
 404    # Args must be BYTES or types that can be cast to STRING, return type is either BYTES or STRING
 405    # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#concat
 406    if not annotated.is_type(exp.DataType.Type.BINARY, exp.DataType.Type.UNKNOWN):
 407        annotated.type = exp.DataType.Type.VARCHAR
 408
 409    return annotated
 410
 411
 412def _annotate_array(self: TypeAnnotator, expression: exp.Array) -> exp.Array:
 413    array_args = expression.expressions
 414
 415    # BigQuery behaves as follows:
 416    #
 417    # SELECT t, TYPEOF(t) FROM (SELECT 'foo') AS t            -- foo, STRUCT<STRING>
 418    # SELECT ARRAY(SELECT 'foo'), TYPEOF(ARRAY(SELECT 'foo')) -- foo, ARRAY<STRING>
 419    if (
 420        len(array_args) == 1
 421        and isinstance(select := array_args[0].unnest(), exp.Select)
 422        and (query_type := select.meta.get("query_type")) is not None
 423        and query_type.is_type(exp.DataType.Type.STRUCT)
 424        and len(query_type.expressions) == 1
 425        and isinstance(col_def := query_type.expressions[0], exp.ColumnDef)
 426        and (projection_type := col_def.kind) is not None
 427        and not projection_type.is_type(exp.DataType.Type.UNKNOWN)
 428    ):
 429        array_type = exp.DataType(
 430            this=exp.DataType.Type.ARRAY,
 431            expressions=[projection_type.copy()],
 432            nested=True,
 433        )
 434        return self._annotate_with_type(expression, array_type)
 435
 436    return self._annotate_by_args(expression, "expressions", array=True)
 437
 438
 439class BigQuery(Dialect):
 440    WEEK_OFFSET = -1
 441    UNNEST_COLUMN_ONLY = True
 442    SUPPORTS_USER_DEFINED_TYPES = False
 443    SUPPORTS_SEMI_ANTI_JOIN = False
 444    LOG_BASE_FIRST = False
 445    HEX_LOWERCASE = True
 446    FORCE_EARLY_ALIAS_REF_EXPANSION = True
 447    PRESERVE_ORIGINAL_NAMES = True
 448    HEX_STRING_IS_INTEGER_TYPE = True
 449
 450    # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#case_sensitivity
 451    NORMALIZATION_STRATEGY = NormalizationStrategy.CASE_INSENSITIVE
 452
 453    # bigquery udfs are case sensitive
 454    NORMALIZE_FUNCTIONS = False
 455
 456    # https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_elements_date_time
 457    TIME_MAPPING = {
 458        "%D": "%m/%d/%y",
 459        "%E6S": "%S.%f",
 460        "%e": "%-d",
 461    }
 462
 463    FORMAT_MAPPING = {
 464        "DD": "%d",
 465        "MM": "%m",
 466        "MON": "%b",
 467        "MONTH": "%B",
 468        "YYYY": "%Y",
 469        "YY": "%y",
 470        "HH": "%I",
 471        "HH12": "%I",
 472        "HH24": "%H",
 473        "MI": "%M",
 474        "SS": "%S",
 475        "SSSSS": "%f",
 476        "TZH": "%z",
 477    }
 478
 479    # The _PARTITIONTIME and _PARTITIONDATE pseudo-columns are not returned by a SELECT * statement
 480    # https://cloud.google.com/bigquery/docs/querying-partitioned-tables#query_an_ingestion-time_partitioned_table
 481    # https://cloud.google.com/bigquery/docs/querying-wildcard-tables#scanning_a_range_of_tables_using_table_suffix
 482    # https://cloud.google.com/bigquery/docs/query-cloud-storage-data#query_the_file_name_pseudo-column
 483    PSEUDOCOLUMNS = {"_PARTITIONTIME", "_PARTITIONDATE", "_TABLE_SUFFIX", "_FILE_NAME"}
 484
 485    # All set operations require either a DISTINCT or ALL specifier
 486    SET_OP_DISTINCT_BY_DEFAULT = dict.fromkeys((exp.Except, exp.Intersect, exp.Union), None)
 487
 488    # https://cloud.google.com/bigquery/docs/reference/standard-sql/navigation_functions#percentile_cont
 489    COERCES_TO = {
 490        **TypeAnnotator.COERCES_TO,
 491        exp.DataType.Type.BIGDECIMAL: {exp.DataType.Type.DOUBLE},
 492    }
 493    COERCES_TO[exp.DataType.Type.DECIMAL] |= {exp.DataType.Type.BIGDECIMAL}
 494    COERCES_TO[exp.DataType.Type.BIGINT] |= {exp.DataType.Type.BIGDECIMAL}
 495
 496    # BigQuery maps Type.TIMESTAMP to DATETIME, so we need to amend the inferred types
 497    TYPE_TO_EXPRESSIONS = {
 498        **Dialect.TYPE_TO_EXPRESSIONS,
 499        exp.DataType.Type.TIMESTAMPTZ: Dialect.TYPE_TO_EXPRESSIONS[exp.DataType.Type.TIMESTAMP],
 500    }
 501    TYPE_TO_EXPRESSIONS.pop(exp.DataType.Type.TIMESTAMP)
 502
 503    ANNOTATORS = {
 504        **Dialect.ANNOTATORS,
 505        **{
 506            expr_type: annotate_with_type_lambda(data_type)
 507            for data_type, expressions in TYPE_TO_EXPRESSIONS.items()
 508            for expr_type in expressions
 509        },
 510        **{
 511            expr_type: lambda self, e: _annotate_math_functions(self, e)
 512            for expr_type in (exp.Floor, exp.Ceil, exp.Log, exp.Ln, exp.Sqrt, exp.Exp, exp.Round)
 513        },
 514        **{
 515            expr_type: lambda self, e: self._annotate_by_args(e, "this")
 516            for expr_type in (
 517                exp.Abs,
 518                exp.ArgMax,
 519                exp.ArgMin,
 520                exp.DateTrunc,
 521                exp.DatetimeTrunc,
 522                exp.FirstValue,
 523                exp.GroupConcat,
 524                exp.IgnoreNulls,
 525                exp.JSONExtract,
 526                exp.Lead,
 527                exp.Left,
 528                exp.Lower,
 529                exp.NthValue,
 530                exp.Pad,
 531                exp.PercentileDisc,
 532                exp.RegexpExtract,
 533                exp.RegexpReplace,
 534                exp.Repeat,
 535                exp.Replace,
 536                exp.RespectNulls,
 537                exp.Reverse,
 538                exp.Right,
 539                exp.SafeNegate,
 540                exp.Sign,
 541                exp.Substring,
 542                exp.TimestampTrunc,
 543                exp.Translate,
 544                exp.Trim,
 545                exp.Upper,
 546            )
 547        },
 548        exp.Acos: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 549        exp.Acosh: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 550        exp.Asin: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 551        exp.Asinh: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 552        exp.Atan: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 553        exp.Atanh: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 554        exp.Atan2: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 555        exp.ApproxTopSum: lambda self, e: _annotate_by_args_approx_top(self, e),
 556        exp.ApproxTopK: lambda self, e: _annotate_by_args_approx_top(self, e),
 557        exp.ApproxQuantiles: lambda self, e: self._annotate_by_args(e, "this", array=True),
 558        exp.Array: _annotate_array,
 559        exp.ArrayConcat: lambda self, e: self._annotate_by_args(e, "this", "expressions"),
 560        exp.Ascii: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 561        exp.BitwiseAndAgg: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 562        exp.BitwiseOrAgg: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 563        exp.BitwiseXorAgg: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 564        exp.BitwiseCountAgg: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 565        exp.ByteLength: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 566        exp.ByteString: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BINARY),
 567        exp.Cbrt: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 568        exp.CodePointsToBytes: lambda self, e: self._annotate_with_type(
 569            e, exp.DataType.Type.BINARY
 570        ),
 571        exp.CodePointsToString: lambda self, e: self._annotate_with_type(
 572            e, exp.DataType.Type.VARCHAR
 573        ),
 574        exp.Concat: _annotate_concat,
 575        exp.Corr: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 576        exp.Cot: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 577        exp.CosineDistance: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 578        exp.Coth: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 579        exp.CovarPop: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 580        exp.CovarSamp: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 581        exp.Csc: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 582        exp.Csch: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 583        exp.CumeDist: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 584        exp.DateFromUnixDate: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DATE),
 585        exp.DenseRank: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 586        exp.EuclideanDistance: lambda self, e: self._annotate_with_type(
 587            e, exp.DataType.Type.DOUBLE
 588        ),
 589        exp.FarmFingerprint: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 590        exp.Unhex: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BINARY),
 591        exp.Float64: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 592        exp.Format: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 593        exp.GenerateTimestampArray: lambda self, e: self._annotate_with_type(
 594            e, exp.DataType.build("ARRAY<TIMESTAMP>", dialect="bigquery")
 595        ),
 596        exp.Grouping: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 597        exp.IsInf: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BOOLEAN),
 598        exp.IsNan: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BOOLEAN),
 599        exp.JSONArray: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 600        exp.JSONArrayAppend: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 601        exp.JSONArrayInsert: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 602        exp.JSONBool: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BOOLEAN),
 603        exp.JSONExtractScalar: lambda self, e: self._annotate_with_type(
 604            e, exp.DataType.Type.VARCHAR
 605        ),
 606        exp.JSONExtractArray: lambda self, e: self._annotate_by_args(e, "this", array=True),
 607        exp.JSONFormat: lambda self, e: self._annotate_with_type(
 608            e, exp.DataType.Type.JSON if e.args.get("to_json") else exp.DataType.Type.VARCHAR
 609        ),
 610        exp.JSONKeysAtDepth: lambda self, e: self._annotate_with_type(
 611            e, exp.DataType.build("ARRAY<VARCHAR>", dialect="bigquery")
 612        ),
 613        exp.JSONObject: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 614        exp.JSONRemove: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 615        exp.JSONSet: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 616        exp.JSONStripNulls: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 617        exp.JSONType: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 618        exp.JSONValueArray: lambda self, e: self._annotate_with_type(
 619            e, exp.DataType.build("ARRAY<VARCHAR>", dialect="bigquery")
 620        ),
 621        exp.Lag: lambda self, e: self._annotate_by_args(e, "this", "default"),
 622        exp.LowerHex: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 623        exp.LaxBool: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BOOLEAN),
 624        exp.LaxFloat64: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 625        exp.LaxInt64: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 626        exp.LaxString: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 627        exp.MD5Digest: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BINARY),
 628        exp.Normalize: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 629        exp.Ntile: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 630        exp.ParseTime: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.TIME),
 631        exp.ParseDatetime: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DATETIME),
 632        exp.ParseBignumeric: lambda self, e: self._annotate_with_type(
 633            e, exp.DataType.Type.BIGDECIMAL
 634        ),
 635        exp.ParseNumeric: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DECIMAL),
 636        exp.PercentileCont: lambda self, e: _annotate_by_args_with_coerce(self, e),
 637        exp.PercentRank: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 638        exp.Rank: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 639        exp.RangeBucket: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 640        exp.RegexpExtractAll: lambda self, e: self._annotate_by_args(e, "this", array=True),
 641        exp.RegexpInstr: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 642        exp.RowNumber: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 643        exp.Rand: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 644        exp.SafeConvertBytesToString: lambda self, e: self._annotate_with_type(
 645            e, exp.DataType.Type.VARCHAR
 646        ),
 647        exp.SafeAdd: lambda self, e: _annotate_by_args_with_coerce(self, e),
 648        exp.SafeMultiply: lambda self, e: _annotate_by_args_with_coerce(self, e),
 649        exp.SafeSubtract: lambda self, e: _annotate_by_args_with_coerce(self, e),
 650        exp.Sec: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 651        exp.Sech: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 652        exp.Soundex: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 653        exp.SHA: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BINARY),
 654        exp.SHA2: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BINARY),
 655        exp.Sin: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 656        exp.Sinh: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 657        exp.Split: lambda self, e: self._annotate_by_args(e, "this", array=True),
 658        exp.TimestampFromParts: lambda self, e: self._annotate_with_type(
 659            e, exp.DataType.Type.DATETIME
 660        ),
 661        exp.TimeFromParts: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.TIME),
 662        exp.TimeTrunc: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.TIME),
 663        exp.ToCodePoints: lambda self, e: self._annotate_with_type(
 664            e, exp.DataType.build("ARRAY<BIGINT>", dialect="bigquery")
 665        ),
 666        exp.TsOrDsToTime: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.TIME),
 667        exp.Unicode: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 668        exp.Uuid: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 669    }
 670
 671    def normalize_identifier(self, expression: E) -> E:
 672        if (
 673            isinstance(expression, exp.Identifier)
 674            and self.normalization_strategy is NormalizationStrategy.CASE_INSENSITIVE
 675        ):
 676            parent = expression.parent
 677            while isinstance(parent, exp.Dot):
 678                parent = parent.parent
 679
 680            # In BigQuery, CTEs are case-insensitive, but UDF and table names are case-sensitive
 681            # by default. The following check uses a heuristic to detect tables based on whether
 682            # they are qualified. This should generally be correct, because tables in BigQuery
 683            # must be qualified with at least a dataset, unless @@dataset_id is set.
 684            case_sensitive = (
 685                isinstance(parent, exp.UserDefinedFunction)
 686                or (
 687                    isinstance(parent, exp.Table)
 688                    and parent.db
 689                    and (parent.meta.get("quoted_table") or not parent.meta.get("maybe_column"))
 690                )
 691                or expression.meta.get("is_table")
 692            )
 693            if not case_sensitive:
 694                expression.set("this", expression.this.lower())
 695
 696            return t.cast(E, expression)
 697
 698        return super().normalize_identifier(expression)
 699
 700    class JSONPathTokenizer(jsonpath.JSONPathTokenizer):
 701        VAR_TOKENS = {
 702            TokenType.DASH,
 703            TokenType.VAR,
 704        }
 705
 706    class Tokenizer(tokens.Tokenizer):
 707        QUOTES = ["'", '"', '"""', "'''"]
 708        COMMENTS = ["--", "#", ("/*", "*/")]
 709        IDENTIFIERS = ["`"]
 710        STRING_ESCAPES = ["\\"]
 711
 712        HEX_STRINGS = [("0x", ""), ("0X", "")]
 713
 714        BYTE_STRINGS = [
 715            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
 716        ]
 717
 718        RAW_STRINGS = [
 719            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
 720        ]
 721
 722        NESTED_COMMENTS = False
 723
 724        KEYWORDS = {
 725            **tokens.Tokenizer.KEYWORDS,
 726            "ANY TYPE": TokenType.VARIANT,
 727            "BEGIN": TokenType.COMMAND,
 728            "BEGIN TRANSACTION": TokenType.BEGIN,
 729            "BYTEINT": TokenType.INT,
 730            "BYTES": TokenType.BINARY,
 731            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
 732            "DATETIME": TokenType.TIMESTAMP,
 733            "DECLARE": TokenType.DECLARE,
 734            "ELSEIF": TokenType.COMMAND,
 735            "EXCEPTION": TokenType.COMMAND,
 736            "EXPORT": TokenType.EXPORT,
 737            "FLOAT64": TokenType.DOUBLE,
 738            "FOR SYSTEM_TIME": TokenType.TIMESTAMP_SNAPSHOT,
 739            "LOOP": TokenType.COMMAND,
 740            "MODEL": TokenType.MODEL,
 741            "NOT DETERMINISTIC": TokenType.VOLATILE,
 742            "RECORD": TokenType.STRUCT,
 743            "REPEAT": TokenType.COMMAND,
 744            "TIMESTAMP": TokenType.TIMESTAMPTZ,
 745            "WHILE": TokenType.COMMAND,
 746        }
 747        KEYWORDS.pop("DIV")
 748        KEYWORDS.pop("VALUES")
 749        KEYWORDS.pop("/*+")
 750
 751    class Parser(parser.Parser):
 752        PREFIXED_PIVOT_COLUMNS = True
 753        LOG_DEFAULTS_TO_LN = True
 754        SUPPORTS_IMPLICIT_UNNEST = True
 755        JOINS_HAVE_EQUAL_PRECEDENCE = True
 756
 757        # BigQuery does not allow ASC/DESC to be used as an identifier
 758        ID_VAR_TOKENS = parser.Parser.ID_VAR_TOKENS - {TokenType.ASC, TokenType.DESC}
 759        ALIAS_TOKENS = parser.Parser.ALIAS_TOKENS - {TokenType.ASC, TokenType.DESC}
 760        TABLE_ALIAS_TOKENS = parser.Parser.TABLE_ALIAS_TOKENS - {TokenType.ASC, TokenType.DESC}
 761        COMMENT_TABLE_ALIAS_TOKENS = parser.Parser.COMMENT_TABLE_ALIAS_TOKENS - {
 762            TokenType.ASC,
 763            TokenType.DESC,
 764        }
 765        UPDATE_ALIAS_TOKENS = parser.Parser.UPDATE_ALIAS_TOKENS - {TokenType.ASC, TokenType.DESC}
 766
 767        FUNCTIONS = {
 768            **parser.Parser.FUNCTIONS,
 769            "APPROX_TOP_COUNT": exp.ApproxTopK.from_arg_list,
 770            "BIT_AND": exp.BitwiseAndAgg.from_arg_list,
 771            "BIT_OR": exp.BitwiseOrAgg.from_arg_list,
 772            "BIT_XOR": exp.BitwiseXorAgg.from_arg_list,
 773            "BIT_COUNT": exp.BitwiseCountAgg.from_arg_list,
 774            "BOOL": exp.JSONBool.from_arg_list,
 775            "CONTAINS_SUBSTR": _build_contains_substring,
 776            "DATE": _build_date,
 777            "DATE_ADD": build_date_delta_with_interval(exp.DateAdd),
 778            "DATE_SUB": build_date_delta_with_interval(exp.DateSub),
 779            "DATE_TRUNC": lambda args: exp.DateTrunc(
 780                unit=seq_get(args, 1),
 781                this=seq_get(args, 0),
 782                zone=seq_get(args, 2),
 783            ),
 784            "DATETIME": _build_datetime,
 785            "DATETIME_ADD": build_date_delta_with_interval(exp.DatetimeAdd),
 786            "DATETIME_SUB": build_date_delta_with_interval(exp.DatetimeSub),
 787            "DIV": binary_from_function(exp.IntDiv),
 788            "EDIT_DISTANCE": _build_levenshtein,
 789            "FORMAT_DATE": _build_format_time(exp.TsOrDsToDate),
 790            "GENERATE_ARRAY": exp.GenerateSeries.from_arg_list,
 791            "JSON_EXTRACT_SCALAR": _build_extract_json_with_default_path(exp.JSONExtractScalar),
 792            "JSON_EXTRACT_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
 793            "JSON_EXTRACT_STRING_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
 794            "JSON_KEYS": exp.JSONKeysAtDepth.from_arg_list,
 795            "JSON_QUERY": parser.build_extract_json_with_path(exp.JSONExtract),
 796            "JSON_QUERY_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
 797            "JSON_STRIP_NULLS": _build_json_strip_nulls,
 798            "JSON_VALUE": _build_extract_json_with_default_path(exp.JSONExtractScalar),
 799            "JSON_VALUE_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
 800            "LENGTH": lambda args: exp.Length(this=seq_get(args, 0), binary=True),
 801            "MD5": exp.MD5Digest.from_arg_list,
 802            "NORMALIZE_AND_CASEFOLD": lambda args: exp.Normalize(
 803                this=seq_get(args, 0), form=seq_get(args, 1), is_casefold=True
 804            ),
 805            "OCTET_LENGTH": exp.ByteLength.from_arg_list,
 806            "TO_HEX": _build_to_hex,
 807            "PARSE_DATE": lambda args: build_formatted_time(exp.StrToDate, "bigquery")(
 808                [seq_get(args, 1), seq_get(args, 0)]
 809            ),
 810            "PARSE_TIME": lambda args: build_formatted_time(exp.ParseTime, "bigquery")(
 811                [seq_get(args, 1), seq_get(args, 0)]
 812            ),
 813            "PARSE_TIMESTAMP": _build_parse_timestamp,
 814            "PARSE_DATETIME": lambda args: build_formatted_time(exp.ParseDatetime, "bigquery")(
 815                [seq_get(args, 1), seq_get(args, 0)]
 816            ),
 817            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
 818            "REGEXP_EXTRACT": _build_regexp_extract(exp.RegexpExtract),
 819            "REGEXP_SUBSTR": _build_regexp_extract(exp.RegexpExtract),
 820            "REGEXP_EXTRACT_ALL": _build_regexp_extract(
 821                exp.RegexpExtractAll, default_group=exp.Literal.number(0)
 822            ),
 823            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
 824            "SHA512": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(512)),
 825            "SPLIT": lambda args: exp.Split(
 826                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
 827                this=seq_get(args, 0),
 828                expression=seq_get(args, 1) or exp.Literal.string(","),
 829            ),
 830            "STRPOS": exp.StrPosition.from_arg_list,
 831            "TIME": _build_time,
 832            "TIME_ADD": build_date_delta_with_interval(exp.TimeAdd),
 833            "TIME_SUB": build_date_delta_with_interval(exp.TimeSub),
 834            "TIMESTAMP": _build_timestamp,
 835            "TIMESTAMP_ADD": build_date_delta_with_interval(exp.TimestampAdd),
 836            "TIMESTAMP_SUB": build_date_delta_with_interval(exp.TimestampSub),
 837            "TIMESTAMP_MICROS": lambda args: exp.UnixToTime(
 838                this=seq_get(args, 0), scale=exp.UnixToTime.MICROS
 839            ),
 840            "TIMESTAMP_MILLIS": lambda args: exp.UnixToTime(
 841                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
 842            ),
 843            "TIMESTAMP_SECONDS": lambda args: exp.UnixToTime(this=seq_get(args, 0)),
 844            "TO_JSON": lambda args: exp.JSONFormat(
 845                this=seq_get(args, 0), options=seq_get(args, 1), to_json=True
 846            ),
 847            "TO_JSON_STRING": exp.JSONFormat.from_arg_list,
 848            "FORMAT_DATETIME": _build_format_time(exp.TsOrDsToDatetime),
 849            "FORMAT_TIMESTAMP": _build_format_time(exp.TsOrDsToTimestamp),
 850            "FORMAT_TIME": _build_format_time(exp.TsOrDsToTime),
 851            "FROM_HEX": exp.Unhex.from_arg_list,
 852            "WEEK": lambda args: exp.WeekStart(this=exp.var(seq_get(args, 0))),
 853        }
 854
 855        FUNCTION_PARSERS = {
 856            **parser.Parser.FUNCTION_PARSERS,
 857            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
 858            "JSON_ARRAY": lambda self: self.expression(
 859                exp.JSONArray, expressions=self._parse_csv(self._parse_bitwise)
 860            ),
 861            "MAKE_INTERVAL": lambda self: self._parse_make_interval(),
 862            "PREDICT": lambda self: self._parse_ml(exp.Predict),
 863            "TRANSLATE": lambda self: self._parse_translate(),
 864            "FEATURES_AT_TIME": lambda self: self._parse_features_at_time(),
 865            "GENERATE_EMBEDDING": lambda self: self._parse_ml(exp.GenerateEmbedding),
 866            "GENERATE_TEXT_EMBEDDING": lambda self: self._parse_ml(
 867                exp.GenerateEmbedding, is_text=True
 868            ),
 869            "VECTOR_SEARCH": lambda self: self._parse_vector_search(),
 870            "FORECAST": lambda self: self._parse_ml(exp.MLForecast),
 871        }
 872        FUNCTION_PARSERS.pop("TRIM")
 873
 874        NO_PAREN_FUNCTIONS = {
 875            **parser.Parser.NO_PAREN_FUNCTIONS,
 876            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
 877        }
 878
 879        NESTED_TYPE_TOKENS = {
 880            *parser.Parser.NESTED_TYPE_TOKENS,
 881            TokenType.TABLE,
 882        }
 883
 884        PROPERTY_PARSERS = {
 885            **parser.Parser.PROPERTY_PARSERS,
 886            "NOT DETERMINISTIC": lambda self: self.expression(
 887                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
 888            ),
 889            "OPTIONS": lambda self: self._parse_with_property(),
 890        }
 891
 892        CONSTRAINT_PARSERS = {
 893            **parser.Parser.CONSTRAINT_PARSERS,
 894            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
 895        }
 896
 897        RANGE_PARSERS = parser.Parser.RANGE_PARSERS.copy()
 898        RANGE_PARSERS.pop(TokenType.OVERLAPS)
 899
 900        DASHED_TABLE_PART_FOLLOW_TOKENS = {TokenType.DOT, TokenType.L_PAREN, TokenType.R_PAREN}
 901
 902        STATEMENT_PARSERS = {
 903            **parser.Parser.STATEMENT_PARSERS,
 904            TokenType.ELSE: lambda self: self._parse_as_command(self._prev),
 905            TokenType.END: lambda self: self._parse_as_command(self._prev),
 906            TokenType.FOR: lambda self: self._parse_for_in(),
 907            TokenType.EXPORT: lambda self: self._parse_export_data(),
 908            TokenType.DECLARE: lambda self: self._parse_declare(),
 909        }
 910
 911        BRACKET_OFFSETS = {
 912            "OFFSET": (0, False),
 913            "ORDINAL": (1, False),
 914            "SAFE_OFFSET": (0, True),
 915            "SAFE_ORDINAL": (1, True),
 916        }
 917
 918        def _parse_for_in(self) -> t.Union[exp.ForIn, exp.Command]:
 919            index = self._index
 920            this = self._parse_range()
 921            self._match_text_seq("DO")
 922            if self._match(TokenType.COMMAND):
 923                self._retreat(index)
 924                return self._parse_as_command(self._prev)
 925            return self.expression(exp.ForIn, this=this, expression=self._parse_statement())
 926
 927        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
 928            this = super()._parse_table_part(schema=schema) or self._parse_number()
 929
 930            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
 931            if isinstance(this, exp.Identifier):
 932                table_name = this.name
 933                while self._match(TokenType.DASH, advance=False) and self._next:
 934                    start = self._curr
 935                    while self._is_connected() and not self._match_set(
 936                        self.DASHED_TABLE_PART_FOLLOW_TOKENS, advance=False
 937                    ):
 938                        self._advance()
 939
 940                    if start == self._curr:
 941                        break
 942
 943                    table_name += self._find_sql(start, self._prev)
 944
 945                this = exp.Identifier(
 946                    this=table_name, quoted=this.args.get("quoted")
 947                ).update_positions(this)
 948            elif isinstance(this, exp.Literal):
 949                table_name = this.name
 950
 951                if self._is_connected() and self._parse_var(any_token=True):
 952                    table_name += self._prev.text
 953
 954                this = exp.Identifier(this=table_name, quoted=True).update_positions(this)
 955
 956            return this
 957
 958        def _parse_table_parts(
 959            self, schema: bool = False, is_db_reference: bool = False, wildcard: bool = False
 960        ) -> exp.Table:
 961            table = super()._parse_table_parts(
 962                schema=schema, is_db_reference=is_db_reference, wildcard=True
 963            )
 964
 965            # proj-1.db.tbl -- `1.` is tokenized as a float so we need to unravel it here
 966            if not table.catalog:
 967                if table.db:
 968                    previous_db = table.args["db"]
 969                    parts = table.db.split(".")
 970                    if len(parts) == 2 and not table.args["db"].quoted:
 971                        table.set(
 972                            "catalog", exp.Identifier(this=parts[0]).update_positions(previous_db)
 973                        )
 974                        table.set("db", exp.Identifier(this=parts[1]).update_positions(previous_db))
 975                else:
 976                    previous_this = table.this
 977                    parts = table.name.split(".")
 978                    if len(parts) == 2 and not table.this.quoted:
 979                        table.set(
 980                            "db", exp.Identifier(this=parts[0]).update_positions(previous_this)
 981                        )
 982                        table.set(
 983                            "this", exp.Identifier(this=parts[1]).update_positions(previous_this)
 984                        )
 985
 986            if isinstance(table.this, exp.Identifier) and any("." in p.name for p in table.parts):
 987                alias = table.this
 988                catalog, db, this, *rest = (
 989                    exp.to_identifier(p, quoted=True)
 990                    for p in split_num_words(".".join(p.name for p in table.parts), ".", 3)
 991                )
 992
 993                for part in (catalog, db, this):
 994                    if part:
 995                        part.update_positions(table.this)
 996
 997                if rest and this:
 998                    this = exp.Dot.build([this, *rest])  # type: ignore
 999
1000                table = exp.Table(
1001                    this=this, db=db, catalog=catalog, pivots=table.args.get("pivots")
1002                )
1003                table.meta["quoted_table"] = True
1004            else:
1005                alias = None
1006
1007            # The `INFORMATION_SCHEMA` views in BigQuery need to be qualified by a region or
1008            # dataset, so if the project identifier is omitted we need to fix the ast so that
1009            # the `INFORMATION_SCHEMA.X` bit is represented as a single (quoted) Identifier.
1010            # Otherwise, we wouldn't correctly qualify a `Table` node that references these
1011            # views, because it would seem like the "catalog" part is set, when it'd actually
1012            # be the region/dataset. Merging the two identifiers into a single one is done to
1013            # avoid producing a 4-part Table reference, which would cause issues in the schema
1014            # module, when there are 3-part table names mixed with information schema views.
1015            #
1016            # See: https://cloud.google.com/bigquery/docs/information-schema-intro#syntax
1017            table_parts = table.parts
1018            if len(table_parts) > 1 and table_parts[-2].name.upper() == "INFORMATION_SCHEMA":
1019                # We need to alias the table here to avoid breaking existing qualified columns.
1020                # This is expected to be safe, because if there's an actual alias coming up in
1021                # the token stream, it will overwrite this one. If there isn't one, we are only
1022                # exposing the name that can be used to reference the view explicitly (a no-op).
1023                exp.alias_(
1024                    table,
1025                    t.cast(exp.Identifier, alias or table_parts[-1]),
1026                    table=True,
1027                    copy=False,
1028                )
1029
1030                info_schema_view = f"{table_parts[-2].name}.{table_parts[-1].name}"
1031                new_this = exp.Identifier(this=info_schema_view, quoted=True).update_positions(
1032                    line=table_parts[-2].meta.get("line"),
1033                    col=table_parts[-1].meta.get("col"),
1034                    start=table_parts[-2].meta.get("start"),
1035                    end=table_parts[-1].meta.get("end"),
1036                )
1037                table.set("this", new_this)
1038                table.set("db", seq_get(table_parts, -3))
1039                table.set("catalog", seq_get(table_parts, -4))
1040
1041            return table
1042
1043        def _parse_column(self) -> t.Optional[exp.Expression]:
1044            column = super()._parse_column()
1045            if isinstance(column, exp.Column):
1046                parts = column.parts
1047                if any("." in p.name for p in parts):
1048                    catalog, db, table, this, *rest = (
1049                        exp.to_identifier(p, quoted=True)
1050                        for p in split_num_words(".".join(p.name for p in parts), ".", 4)
1051                    )
1052
1053                    if rest and this:
1054                        this = exp.Dot.build([this, *rest])  # type: ignore
1055
1056                    column = exp.Column(this=this, table=table, db=db, catalog=catalog)
1057                    column.meta["quoted_column"] = True
1058
1059            return column
1060
1061        @t.overload
1062        def _parse_json_object(self, agg: Lit[False]) -> exp.JSONObject: ...
1063
1064        @t.overload
1065        def _parse_json_object(self, agg: Lit[True]) -> exp.JSONObjectAgg: ...
1066
1067        def _parse_json_object(self, agg=False):
1068            json_object = super()._parse_json_object()
1069            array_kv_pair = seq_get(json_object.expressions, 0)
1070
1071            # Converts BQ's "signature 2" of JSON_OBJECT into SQLGlot's canonical representation
1072            # https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions#json_object_signature2
1073            if (
1074                array_kv_pair
1075                and isinstance(array_kv_pair.this, exp.Array)
1076                and isinstance(array_kv_pair.expression, exp.Array)
1077            ):
1078                keys = array_kv_pair.this.expressions
1079                values = array_kv_pair.expression.expressions
1080
1081                json_object.set(
1082                    "expressions",
1083                    [exp.JSONKeyValue(this=k, expression=v) for k, v in zip(keys, values)],
1084                )
1085
1086            return json_object
1087
1088        def _parse_bracket(
1089            self, this: t.Optional[exp.Expression] = None
1090        ) -> t.Optional[exp.Expression]:
1091            bracket = super()._parse_bracket(this)
1092
1093            if this is bracket:
1094                return bracket
1095
1096            if isinstance(bracket, exp.Bracket):
1097                for expression in bracket.expressions:
1098                    name = expression.name.upper()
1099
1100                    if name not in self.BRACKET_OFFSETS:
1101                        break
1102
1103                    offset, safe = self.BRACKET_OFFSETS[name]
1104                    bracket.set("offset", offset)
1105                    bracket.set("safe", safe)
1106                    expression.replace(expression.expressions[0])
1107
1108            return bracket
1109
1110        def _parse_unnest(self, with_alias: bool = True) -> t.Optional[exp.Unnest]:
1111            unnest = super()._parse_unnest(with_alias=with_alias)
1112
1113            if not unnest:
1114                return None
1115
1116            unnest_expr = seq_get(unnest.expressions, 0)
1117            if unnest_expr:
1118                from sqlglot.optimizer.annotate_types import annotate_types
1119
1120                unnest_expr = annotate_types(unnest_expr, dialect=self.dialect)
1121
1122                # Unnesting a nested array (i.e array of structs) explodes the top-level struct fields,
1123                # in contrast to other dialects such as DuckDB which flattens only the array by default
1124                if unnest_expr.is_type(exp.DataType.Type.ARRAY) and any(
1125                    array_elem.is_type(exp.DataType.Type.STRUCT)
1126                    for array_elem in unnest_expr._type.expressions
1127                ):
1128                    unnest.set("explode_array", True)
1129
1130            return unnest
1131
1132        def _parse_make_interval(self) -> exp.MakeInterval:
1133            expr = exp.MakeInterval()
1134
1135            for arg_key in expr.arg_types:
1136                value = self._parse_lambda()
1137
1138                if not value:
1139                    break
1140
1141                # Non-named arguments are filled sequentially, (optionally) followed by named arguments
1142                # that can appear in any order e.g MAKE_INTERVAL(1, minute => 5, day => 2)
1143                if isinstance(value, exp.Kwarg):
1144                    arg_key = value.this.name
1145
1146                expr.set(arg_key, value)
1147
1148                self._match(TokenType.COMMA)
1149
1150            return expr
1151
1152        def _parse_ml(self, expr_type: t.Type[E], **kwargs) -> E:
1153            self._match_text_seq("MODEL")
1154            this = self._parse_table()
1155
1156            self._match(TokenType.COMMA)
1157            self._match_text_seq("TABLE")
1158
1159            # Certain functions like ML.FORECAST require a STRUCT argument but not a TABLE/SELECT one
1160            expression = (
1161                self._parse_table() if not self._match(TokenType.STRUCT, advance=False) else None
1162            )
1163
1164            self._match(TokenType.COMMA)
1165
1166            return self.expression(
1167                expr_type,
1168                this=this,
1169                expression=expression,
1170                params_struct=self._parse_bitwise(),
1171                **kwargs,
1172            )
1173
1174        def _parse_translate(self) -> exp.Translate | exp.MLTranslate:
1175            # Check if this is ML.TRANSLATE by looking at previous tokens
1176            token = seq_get(self._tokens, self._index - 4)
1177            if token and token.text.upper() == "ML":
1178                return self._parse_ml(exp.MLTranslate)
1179
1180            return exp.Translate.from_arg_list(self._parse_function_args())
1181
1182        def _parse_features_at_time(self) -> exp.FeaturesAtTime:
1183            self._match(TokenType.TABLE)
1184            this = self._parse_table()
1185
1186            expr = self.expression(exp.FeaturesAtTime, this=this)
1187
1188            while self._match(TokenType.COMMA):
1189                arg = self._parse_lambda()
1190
1191                # Get the LHS of the Kwarg and set the arg to that value, e.g
1192                # "num_rows => 1" sets the expr's `num_rows` arg
1193                if arg:
1194                    expr.set(arg.this.name, arg)
1195
1196            return expr
1197
1198        def _parse_vector_search(self) -> exp.VectorSearch:
1199            self._match(TokenType.TABLE)
1200            base_table = self._parse_table()
1201
1202            self._match(TokenType.COMMA)
1203
1204            column_to_search = self._parse_bitwise()
1205            self._match(TokenType.COMMA)
1206
1207            self._match(TokenType.TABLE)
1208            query_table = self._parse_table()
1209
1210            expr = self.expression(
1211                exp.VectorSearch,
1212                this=base_table,
1213                column_to_search=column_to_search,
1214                query_table=query_table,
1215            )
1216
1217            while self._match(TokenType.COMMA):
1218                # query_column_to_search can be named argument or positional
1219                if self._match(TokenType.STRING, advance=False):
1220                    query_column = self._parse_string()
1221                    expr.set("query_column_to_search", query_column)
1222                else:
1223                    arg = self._parse_lambda()
1224                    if arg:
1225                        expr.set(arg.this.name, arg)
1226
1227            return expr
1228
1229        def _parse_export_data(self) -> exp.Export:
1230            self._match_text_seq("DATA")
1231
1232            return self.expression(
1233                exp.Export,
1234                connection=self._match_text_seq("WITH", "CONNECTION") and self._parse_table_parts(),
1235                options=self._parse_properties(),
1236                this=self._match_text_seq("AS") and self._parse_select(),
1237            )
1238
1239    class Generator(generator.Generator):
1240        INTERVAL_ALLOWS_PLURAL_FORM = False
1241        JOIN_HINTS = False
1242        QUERY_HINTS = False
1243        TABLE_HINTS = False
1244        LIMIT_FETCH = "LIMIT"
1245        RENAME_TABLE_WITH_DB = False
1246        NVL2_SUPPORTED = False
1247        UNNEST_WITH_ORDINALITY = False
1248        COLLATE_IS_FUNC = True
1249        LIMIT_ONLY_LITERALS = True
1250        SUPPORTS_TABLE_ALIAS_COLUMNS = False
1251        UNPIVOT_ALIASES_ARE_IDENTIFIERS = False
1252        JSON_KEY_VALUE_PAIR_SEP = ","
1253        NULL_ORDERING_SUPPORTED = False
1254        IGNORE_NULLS_IN_FUNC = True
1255        JSON_PATH_SINGLE_QUOTE_ESCAPE = True
1256        CAN_IMPLEMENT_ARRAY_ANY = True
1257        SUPPORTS_TO_NUMBER = False
1258        NAMED_PLACEHOLDER_TOKEN = "@"
1259        HEX_FUNC = "TO_HEX"
1260        WITH_PROPERTIES_PREFIX = "OPTIONS"
1261        SUPPORTS_EXPLODING_PROJECTIONS = False
1262        EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE = False
1263        SUPPORTS_UNIX_SECONDS = True
1264
1265        SAFE_JSON_PATH_KEY_RE = re.compile(r"^[_\-a-zA-Z][\-\w]*$")
1266
1267        TS_OR_DS_TYPES = (
1268            exp.TsOrDsToDatetime,
1269            exp.TsOrDsToTimestamp,
1270            exp.TsOrDsToTime,
1271            exp.TsOrDsToDate,
1272        )
1273
1274        TRANSFORMS = {
1275            **generator.Generator.TRANSFORMS,
1276            exp.ApproxTopK: rename_func("APPROX_TOP_COUNT"),
1277            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
1278            exp.ArgMax: arg_max_or_min_no_count("MAX_BY"),
1279            exp.ArgMin: arg_max_or_min_no_count("MIN_BY"),
1280            exp.Array: inline_array_unless_query,
1281            exp.ArrayContains: _array_contains_sql,
1282            exp.ArrayFilter: filter_array_using_unnest,
1283            exp.ArrayRemove: filter_array_using_unnest,
1284            exp.BitwiseAndAgg: rename_func("BIT_AND"),
1285            exp.BitwiseOrAgg: rename_func("BIT_OR"),
1286            exp.BitwiseXorAgg: rename_func("BIT_XOR"),
1287            exp.BitwiseCountAgg: rename_func("BIT_COUNT"),
1288            exp.ByteLength: rename_func("BYTE_LENGTH"),
1289            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
1290            exp.CollateProperty: lambda self, e: (
1291                f"DEFAULT COLLATE {self.sql(e, 'this')}"
1292                if e.args.get("default")
1293                else f"COLLATE {self.sql(e, 'this')}"
1294            ),
1295            exp.Commit: lambda *_: "COMMIT TRANSACTION",
1296            exp.CountIf: rename_func("COUNTIF"),
1297            exp.Create: _create_sql,
1298            exp.CTE: transforms.preprocess([_pushdown_cte_column_names]),
1299            exp.DateAdd: date_add_interval_sql("DATE", "ADD"),
1300            exp.DateDiff: lambda self, e: self.func(
1301                "DATE_DIFF", e.this, e.expression, unit_to_var(e)
1302            ),
1303            exp.DateFromParts: rename_func("DATE"),
1304            exp.DateStrToDate: datestrtodate_sql,
1305            exp.DateSub: date_add_interval_sql("DATE", "SUB"),
1306            exp.DatetimeAdd: date_add_interval_sql("DATETIME", "ADD"),
1307            exp.DatetimeSub: date_add_interval_sql("DATETIME", "SUB"),
1308            exp.DateFromUnixDate: rename_func("DATE_FROM_UNIX_DATE"),
1309            exp.FromTimeZone: lambda self, e: self.func(
1310                "DATETIME", self.func("TIMESTAMP", e.this, e.args.get("zone")), "'UTC'"
1311            ),
1312            exp.GenerateSeries: rename_func("GENERATE_ARRAY"),
1313            exp.GroupConcat: lambda self, e: groupconcat_sql(
1314                self, e, func_name="STRING_AGG", within_group=False
1315            ),
1316            exp.Hex: lambda self, e: self.func("UPPER", self.func("TO_HEX", self.sql(e, "this"))),
1317            exp.HexString: lambda self, e: self.hexstring_sql(e, binary_function_repr="FROM_HEX"),
1318            exp.If: if_sql(false_value="NULL"),
1319            exp.ILike: no_ilike_sql,
1320            exp.IntDiv: rename_func("DIV"),
1321            exp.Int64: rename_func("INT64"),
1322            exp.JSONBool: rename_func("BOOL"),
1323            exp.JSONExtract: _json_extract_sql,
1324            exp.JSONExtractArray: _json_extract_sql,
1325            exp.JSONExtractScalar: _json_extract_sql,
1326            exp.JSONFormat: lambda self, e: self.func(
1327                "TO_JSON" if e.args.get("to_json") else "TO_JSON_STRING",
1328                e.this,
1329                e.args.get("options"),
1330            ),
1331            exp.JSONKeysAtDepth: rename_func("JSON_KEYS"),
1332            exp.JSONValueArray: rename_func("JSON_VALUE_ARRAY"),
1333            exp.Levenshtein: _levenshtein_sql,
1334            exp.Max: max_or_greatest,
1335            exp.MD5: lambda self, e: self.func("TO_HEX", self.func("MD5", e.this)),
1336            exp.MD5Digest: rename_func("MD5"),
1337            exp.Min: min_or_least,
1338            exp.Normalize: lambda self, e: self.func(
1339                "NORMALIZE_AND_CASEFOLD" if e.args.get("is_casefold") else "NORMALIZE",
1340                e.this,
1341                e.args.get("form"),
1342            ),
1343            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
1344            exp.RegexpExtract: lambda self, e: self.func(
1345                "REGEXP_EXTRACT",
1346                e.this,
1347                e.expression,
1348                e.args.get("position"),
1349                e.args.get("occurrence"),
1350            ),
1351            exp.RegexpExtractAll: lambda self, e: self.func(
1352                "REGEXP_EXTRACT_ALL", e.this, e.expression
1353            ),
1354            exp.RegexpReplace: regexp_replace_sql,
1355            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
1356            exp.ReturnsProperty: _returnsproperty_sql,
1357            exp.Rollback: lambda *_: "ROLLBACK TRANSACTION",
1358            exp.ParseTime: lambda self, e: self.func("PARSE_TIME", self.format_time(e), e.this),
1359            exp.ParseDatetime: lambda self, e: self.func(
1360                "PARSE_DATETIME", self.format_time(e), e.this
1361            ),
1362            exp.Select: transforms.preprocess(
1363                [
1364                    transforms.explode_projection_to_unnest(),
1365                    transforms.unqualify_unnest,
1366                    transforms.eliminate_distinct_on,
1367                    _alias_ordered_group,
1368                    transforms.eliminate_semi_and_anti_joins,
1369                ]
1370            ),
1371            exp.SHA: rename_func("SHA1"),
1372            exp.SHA2: sha256_sql,
1373            exp.StabilityProperty: lambda self, e: (
1374                "DETERMINISTIC" if e.name == "IMMUTABLE" else "NOT DETERMINISTIC"
1375            ),
1376            exp.String: rename_func("STRING"),
1377            exp.StrPosition: lambda self, e: (
1378                strposition_sql(
1379                    self, e, func_name="INSTR", supports_position=True, supports_occurrence=True
1380                )
1381            ),
1382            exp.StrToDate: _str_to_datetime_sql,
1383            exp.StrToTime: _str_to_datetime_sql,
1384            exp.TimeAdd: date_add_interval_sql("TIME", "ADD"),
1385            exp.TimeFromParts: rename_func("TIME"),
1386            exp.TimestampFromParts: rename_func("DATETIME"),
1387            exp.TimeSub: date_add_interval_sql("TIME", "SUB"),
1388            exp.TimestampAdd: date_add_interval_sql("TIMESTAMP", "ADD"),
1389            exp.TimestampDiff: rename_func("TIMESTAMP_DIFF"),
1390            exp.TimestampSub: date_add_interval_sql("TIMESTAMP", "SUB"),
1391            exp.TimeStrToTime: timestrtotime_sql,
1392            exp.Transaction: lambda *_: "BEGIN TRANSACTION",
1393            exp.TsOrDsAdd: _ts_or_ds_add_sql,
1394            exp.TsOrDsDiff: _ts_or_ds_diff_sql,
1395            exp.TsOrDsToTime: rename_func("TIME"),
1396            exp.TsOrDsToDatetime: rename_func("DATETIME"),
1397            exp.TsOrDsToTimestamp: rename_func("TIMESTAMP"),
1398            exp.Unhex: rename_func("FROM_HEX"),
1399            exp.UnixDate: rename_func("UNIX_DATE"),
1400            exp.UnixToTime: _unix_to_time_sql,
1401            exp.Uuid: lambda *_: "GENERATE_UUID()",
1402            exp.Values: _derived_table_values_to_unnest,
1403            exp.VariancePop: rename_func("VAR_POP"),
1404            exp.SafeDivide: rename_func("SAFE_DIVIDE"),
1405        }
1406
1407        SUPPORTED_JSON_PATH_PARTS = {
1408            exp.JSONPathKey,
1409            exp.JSONPathRoot,
1410            exp.JSONPathSubscript,
1411        }
1412
1413        TYPE_MAPPING = {
1414            **generator.Generator.TYPE_MAPPING,
1415            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
1416            exp.DataType.Type.BIGINT: "INT64",
1417            exp.DataType.Type.BINARY: "BYTES",
1418            exp.DataType.Type.BLOB: "BYTES",
1419            exp.DataType.Type.BOOLEAN: "BOOL",
1420            exp.DataType.Type.CHAR: "STRING",
1421            exp.DataType.Type.DECIMAL: "NUMERIC",
1422            exp.DataType.Type.DOUBLE: "FLOAT64",
1423            exp.DataType.Type.FLOAT: "FLOAT64",
1424            exp.DataType.Type.INT: "INT64",
1425            exp.DataType.Type.NCHAR: "STRING",
1426            exp.DataType.Type.NVARCHAR: "STRING",
1427            exp.DataType.Type.SMALLINT: "INT64",
1428            exp.DataType.Type.TEXT: "STRING",
1429            exp.DataType.Type.TIMESTAMP: "DATETIME",
1430            exp.DataType.Type.TIMESTAMPNTZ: "DATETIME",
1431            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
1432            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
1433            exp.DataType.Type.TINYINT: "INT64",
1434            exp.DataType.Type.ROWVERSION: "BYTES",
1435            exp.DataType.Type.UUID: "STRING",
1436            exp.DataType.Type.VARBINARY: "BYTES",
1437            exp.DataType.Type.VARCHAR: "STRING",
1438            exp.DataType.Type.VARIANT: "ANY TYPE",
1439        }
1440
1441        PROPERTIES_LOCATION = {
1442            **generator.Generator.PROPERTIES_LOCATION,
1443            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
1444            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
1445        }
1446
1447        # WINDOW comes after QUALIFY
1448        # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#window_clause
1449        AFTER_HAVING_MODIFIER_TRANSFORMS = {
1450            "qualify": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["qualify"],
1451            "windows": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["windows"],
1452        }
1453
1454        # from: https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#reserved_keywords
1455        RESERVED_KEYWORDS = {
1456            "all",
1457            "and",
1458            "any",
1459            "array",
1460            "as",
1461            "asc",
1462            "assert_rows_modified",
1463            "at",
1464            "between",
1465            "by",
1466            "case",
1467            "cast",
1468            "collate",
1469            "contains",
1470            "create",
1471            "cross",
1472            "cube",
1473            "current",
1474            "default",
1475            "define",
1476            "desc",
1477            "distinct",
1478            "else",
1479            "end",
1480            "enum",
1481            "escape",
1482            "except",
1483            "exclude",
1484            "exists",
1485            "extract",
1486            "false",
1487            "fetch",
1488            "following",
1489            "for",
1490            "from",
1491            "full",
1492            "group",
1493            "grouping",
1494            "groups",
1495            "hash",
1496            "having",
1497            "if",
1498            "ignore",
1499            "in",
1500            "inner",
1501            "intersect",
1502            "interval",
1503            "into",
1504            "is",
1505            "join",
1506            "lateral",
1507            "left",
1508            "like",
1509            "limit",
1510            "lookup",
1511            "merge",
1512            "natural",
1513            "new",
1514            "no",
1515            "not",
1516            "null",
1517            "nulls",
1518            "of",
1519            "on",
1520            "or",
1521            "order",
1522            "outer",
1523            "over",
1524            "partition",
1525            "preceding",
1526            "proto",
1527            "qualify",
1528            "range",
1529            "recursive",
1530            "respect",
1531            "right",
1532            "rollup",
1533            "rows",
1534            "select",
1535            "set",
1536            "some",
1537            "struct",
1538            "tablesample",
1539            "then",
1540            "to",
1541            "treat",
1542            "true",
1543            "unbounded",
1544            "union",
1545            "unnest",
1546            "using",
1547            "when",
1548            "where",
1549            "window",
1550            "with",
1551            "within",
1552        }
1553
1554        def datetrunc_sql(self, expression: exp.DateTrunc) -> str:
1555            unit = expression.unit
1556            unit_sql = unit.name if unit.is_string else self.sql(unit)
1557            return self.func("DATE_TRUNC", expression.this, unit_sql, expression.args.get("zone"))
1558
1559        def mod_sql(self, expression: exp.Mod) -> str:
1560            this = expression.this
1561            expr = expression.expression
1562            return self.func(
1563                "MOD",
1564                this.unnest() if isinstance(this, exp.Paren) else this,
1565                expr.unnest() if isinstance(expr, exp.Paren) else expr,
1566            )
1567
1568        def column_parts(self, expression: exp.Column) -> str:
1569            if expression.meta.get("quoted_column"):
1570                # If a column reference is of the form `dataset.table`.name, we need
1571                # to preserve the quoted table path, otherwise the reference breaks
1572                table_parts = ".".join(p.name for p in expression.parts[:-1])
1573                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
1574                return f"{table_path}.{self.sql(expression, 'this')}"
1575
1576            return super().column_parts(expression)
1577
1578        def table_parts(self, expression: exp.Table) -> str:
1579            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
1580            # we need to make sure the correct quoting is used in each case.
1581            #
1582            # For example, if there is a CTE x that clashes with a schema name, then the former will
1583            # return the table y in that schema, whereas the latter will return the CTE's y column:
1584            #
1585            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
1586            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
1587            if expression.meta.get("quoted_table"):
1588                table_parts = ".".join(p.name for p in expression.parts)
1589                return self.sql(exp.Identifier(this=table_parts, quoted=True))
1590
1591            return super().table_parts(expression)
1592
1593        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
1594            this = expression.this
1595            if isinstance(this, exp.TsOrDsToDatetime):
1596                func_name = "FORMAT_DATETIME"
1597            elif isinstance(this, exp.TsOrDsToTimestamp):
1598                func_name = "FORMAT_TIMESTAMP"
1599            elif isinstance(this, exp.TsOrDsToTime):
1600                func_name = "FORMAT_TIME"
1601            else:
1602                func_name = "FORMAT_DATE"
1603
1604            time_expr = this if isinstance(this, self.TS_OR_DS_TYPES) else expression
1605            return self.func(
1606                func_name, self.format_time(expression), time_expr.this, expression.args.get("zone")
1607            )
1608
1609        def eq_sql(self, expression: exp.EQ) -> str:
1610            # Operands of = cannot be NULL in BigQuery
1611            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
1612                if not isinstance(expression.parent, exp.Update):
1613                    return "NULL"
1614
1615            return self.binary(expression, "=")
1616
1617        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
1618            parent = expression.parent
1619
1620            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
1621            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
1622            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
1623                return self.func(
1624                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
1625                )
1626
1627            return super().attimezone_sql(expression)
1628
1629        def trycast_sql(self, expression: exp.TryCast) -> str:
1630            return self.cast_sql(expression, safe_prefix="SAFE_")
1631
1632        def bracket_sql(self, expression: exp.Bracket) -> str:
1633            this = expression.this
1634            expressions = expression.expressions
1635
1636            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
1637                arg = expressions[0]
1638                if arg.type is None:
1639                    from sqlglot.optimizer.annotate_types import annotate_types
1640
1641                    arg = annotate_types(arg, dialect=self.dialect)
1642
1643                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
1644                    # BQ doesn't support bracket syntax with string values for structs
1645                    return f"{self.sql(this)}.{arg.name}"
1646
1647            expressions_sql = self.expressions(expression, flat=True)
1648            offset = expression.args.get("offset")
1649
1650            if offset == 0:
1651                expressions_sql = f"OFFSET({expressions_sql})"
1652            elif offset == 1:
1653                expressions_sql = f"ORDINAL({expressions_sql})"
1654            elif offset is not None:
1655                self.unsupported(f"Unsupported array offset: {offset}")
1656
1657            if expression.args.get("safe"):
1658                expressions_sql = f"SAFE_{expressions_sql}"
1659
1660            return f"{self.sql(this)}[{expressions_sql}]"
1661
1662        def in_unnest_op(self, expression: exp.Unnest) -> str:
1663            return self.sql(expression)
1664
1665        def version_sql(self, expression: exp.Version) -> str:
1666            if expression.name == "TIMESTAMP":
1667                expression.set("this", "SYSTEM_TIME")
1668            return super().version_sql(expression)
1669
1670        def contains_sql(self, expression: exp.Contains) -> str:
1671            this = expression.this
1672            expr = expression.expression
1673
1674            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
1675                this = this.this
1676                expr = expr.this
1677
1678            return self.func("CONTAINS_SUBSTR", this, expr, expression.args.get("json_scope"))
1679
1680        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
1681            this = expression.this
1682
1683            # This ensures that inline type-annotated ARRAY literals like ARRAY<INT64>[1, 2, 3]
1684            # are roundtripped unaffected. The inner check excludes ARRAY(SELECT ...) expressions,
1685            # because they aren't literals and so the above syntax is invalid BigQuery.
1686            if isinstance(this, exp.Array):
1687                elem = seq_get(this.expressions, 0)
1688                if not (elem and elem.find(exp.Query)):
1689                    return f"{self.sql(expression, 'to')}{self.sql(this)}"
1690
1691            return super().cast_sql(expression, safe_prefix=safe_prefix)
1692
1693        def declareitem_sql(self, expression: exp.DeclareItem) -> str:
1694            variables = self.expressions(expression, "this")
1695            default = self.sql(expression, "default")
1696            default = f" DEFAULT {default}" if default else ""
1697            kind = self.sql(expression, "kind")
1698            kind = f" {kind}" if kind else ""
1699
1700            return f"{variables}{kind}{default}"
logger = <Logger sqlglot (WARNING)>
DQUOTES_ESCAPING_JSON_FUNCTIONS = ('JSON_QUERY', 'JSON_VALUE', 'JSON_QUERY_ARRAY')
class BigQuery(sqlglot.dialects.dialect.Dialect):
 440class BigQuery(Dialect):
 441    WEEK_OFFSET = -1
 442    UNNEST_COLUMN_ONLY = True
 443    SUPPORTS_USER_DEFINED_TYPES = False
 444    SUPPORTS_SEMI_ANTI_JOIN = False
 445    LOG_BASE_FIRST = False
 446    HEX_LOWERCASE = True
 447    FORCE_EARLY_ALIAS_REF_EXPANSION = True
 448    PRESERVE_ORIGINAL_NAMES = True
 449    HEX_STRING_IS_INTEGER_TYPE = True
 450
 451    # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#case_sensitivity
 452    NORMALIZATION_STRATEGY = NormalizationStrategy.CASE_INSENSITIVE
 453
 454    # bigquery udfs are case sensitive
 455    NORMALIZE_FUNCTIONS = False
 456
 457    # https://cloud.google.com/bigquery/docs/reference/standard-sql/format-elements#format_elements_date_time
 458    TIME_MAPPING = {
 459        "%D": "%m/%d/%y",
 460        "%E6S": "%S.%f",
 461        "%e": "%-d",
 462    }
 463
 464    FORMAT_MAPPING = {
 465        "DD": "%d",
 466        "MM": "%m",
 467        "MON": "%b",
 468        "MONTH": "%B",
 469        "YYYY": "%Y",
 470        "YY": "%y",
 471        "HH": "%I",
 472        "HH12": "%I",
 473        "HH24": "%H",
 474        "MI": "%M",
 475        "SS": "%S",
 476        "SSSSS": "%f",
 477        "TZH": "%z",
 478    }
 479
 480    # The _PARTITIONTIME and _PARTITIONDATE pseudo-columns are not returned by a SELECT * statement
 481    # https://cloud.google.com/bigquery/docs/querying-partitioned-tables#query_an_ingestion-time_partitioned_table
 482    # https://cloud.google.com/bigquery/docs/querying-wildcard-tables#scanning_a_range_of_tables_using_table_suffix
 483    # https://cloud.google.com/bigquery/docs/query-cloud-storage-data#query_the_file_name_pseudo-column
 484    PSEUDOCOLUMNS = {"_PARTITIONTIME", "_PARTITIONDATE", "_TABLE_SUFFIX", "_FILE_NAME"}
 485
 486    # All set operations require either a DISTINCT or ALL specifier
 487    SET_OP_DISTINCT_BY_DEFAULT = dict.fromkeys((exp.Except, exp.Intersect, exp.Union), None)
 488
 489    # https://cloud.google.com/bigquery/docs/reference/standard-sql/navigation_functions#percentile_cont
 490    COERCES_TO = {
 491        **TypeAnnotator.COERCES_TO,
 492        exp.DataType.Type.BIGDECIMAL: {exp.DataType.Type.DOUBLE},
 493    }
 494    COERCES_TO[exp.DataType.Type.DECIMAL] |= {exp.DataType.Type.BIGDECIMAL}
 495    COERCES_TO[exp.DataType.Type.BIGINT] |= {exp.DataType.Type.BIGDECIMAL}
 496
 497    # BigQuery maps Type.TIMESTAMP to DATETIME, so we need to amend the inferred types
 498    TYPE_TO_EXPRESSIONS = {
 499        **Dialect.TYPE_TO_EXPRESSIONS,
 500        exp.DataType.Type.TIMESTAMPTZ: Dialect.TYPE_TO_EXPRESSIONS[exp.DataType.Type.TIMESTAMP],
 501    }
 502    TYPE_TO_EXPRESSIONS.pop(exp.DataType.Type.TIMESTAMP)
 503
 504    ANNOTATORS = {
 505        **Dialect.ANNOTATORS,
 506        **{
 507            expr_type: annotate_with_type_lambda(data_type)
 508            for data_type, expressions in TYPE_TO_EXPRESSIONS.items()
 509            for expr_type in expressions
 510        },
 511        **{
 512            expr_type: lambda self, e: _annotate_math_functions(self, e)
 513            for expr_type in (exp.Floor, exp.Ceil, exp.Log, exp.Ln, exp.Sqrt, exp.Exp, exp.Round)
 514        },
 515        **{
 516            expr_type: lambda self, e: self._annotate_by_args(e, "this")
 517            for expr_type in (
 518                exp.Abs,
 519                exp.ArgMax,
 520                exp.ArgMin,
 521                exp.DateTrunc,
 522                exp.DatetimeTrunc,
 523                exp.FirstValue,
 524                exp.GroupConcat,
 525                exp.IgnoreNulls,
 526                exp.JSONExtract,
 527                exp.Lead,
 528                exp.Left,
 529                exp.Lower,
 530                exp.NthValue,
 531                exp.Pad,
 532                exp.PercentileDisc,
 533                exp.RegexpExtract,
 534                exp.RegexpReplace,
 535                exp.Repeat,
 536                exp.Replace,
 537                exp.RespectNulls,
 538                exp.Reverse,
 539                exp.Right,
 540                exp.SafeNegate,
 541                exp.Sign,
 542                exp.Substring,
 543                exp.TimestampTrunc,
 544                exp.Translate,
 545                exp.Trim,
 546                exp.Upper,
 547            )
 548        },
 549        exp.Acos: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 550        exp.Acosh: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 551        exp.Asin: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 552        exp.Asinh: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 553        exp.Atan: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 554        exp.Atanh: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 555        exp.Atan2: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 556        exp.ApproxTopSum: lambda self, e: _annotate_by_args_approx_top(self, e),
 557        exp.ApproxTopK: lambda self, e: _annotate_by_args_approx_top(self, e),
 558        exp.ApproxQuantiles: lambda self, e: self._annotate_by_args(e, "this", array=True),
 559        exp.Array: _annotate_array,
 560        exp.ArrayConcat: lambda self, e: self._annotate_by_args(e, "this", "expressions"),
 561        exp.Ascii: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 562        exp.BitwiseAndAgg: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 563        exp.BitwiseOrAgg: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 564        exp.BitwiseXorAgg: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 565        exp.BitwiseCountAgg: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 566        exp.ByteLength: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 567        exp.ByteString: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BINARY),
 568        exp.Cbrt: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 569        exp.CodePointsToBytes: lambda self, e: self._annotate_with_type(
 570            e, exp.DataType.Type.BINARY
 571        ),
 572        exp.CodePointsToString: lambda self, e: self._annotate_with_type(
 573            e, exp.DataType.Type.VARCHAR
 574        ),
 575        exp.Concat: _annotate_concat,
 576        exp.Corr: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 577        exp.Cot: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 578        exp.CosineDistance: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 579        exp.Coth: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 580        exp.CovarPop: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 581        exp.CovarSamp: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 582        exp.Csc: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 583        exp.Csch: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 584        exp.CumeDist: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 585        exp.DateFromUnixDate: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DATE),
 586        exp.DenseRank: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 587        exp.EuclideanDistance: lambda self, e: self._annotate_with_type(
 588            e, exp.DataType.Type.DOUBLE
 589        ),
 590        exp.FarmFingerprint: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 591        exp.Unhex: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BINARY),
 592        exp.Float64: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 593        exp.Format: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 594        exp.GenerateTimestampArray: lambda self, e: self._annotate_with_type(
 595            e, exp.DataType.build("ARRAY<TIMESTAMP>", dialect="bigquery")
 596        ),
 597        exp.Grouping: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 598        exp.IsInf: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BOOLEAN),
 599        exp.IsNan: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BOOLEAN),
 600        exp.JSONArray: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 601        exp.JSONArrayAppend: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 602        exp.JSONArrayInsert: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 603        exp.JSONBool: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BOOLEAN),
 604        exp.JSONExtractScalar: lambda self, e: self._annotate_with_type(
 605            e, exp.DataType.Type.VARCHAR
 606        ),
 607        exp.JSONExtractArray: lambda self, e: self._annotate_by_args(e, "this", array=True),
 608        exp.JSONFormat: lambda self, e: self._annotate_with_type(
 609            e, exp.DataType.Type.JSON if e.args.get("to_json") else exp.DataType.Type.VARCHAR
 610        ),
 611        exp.JSONKeysAtDepth: lambda self, e: self._annotate_with_type(
 612            e, exp.DataType.build("ARRAY<VARCHAR>", dialect="bigquery")
 613        ),
 614        exp.JSONObject: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 615        exp.JSONRemove: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 616        exp.JSONSet: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 617        exp.JSONStripNulls: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.JSON),
 618        exp.JSONType: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 619        exp.JSONValueArray: lambda self, e: self._annotate_with_type(
 620            e, exp.DataType.build("ARRAY<VARCHAR>", dialect="bigquery")
 621        ),
 622        exp.Lag: lambda self, e: self._annotate_by_args(e, "this", "default"),
 623        exp.LowerHex: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 624        exp.LaxBool: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BOOLEAN),
 625        exp.LaxFloat64: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 626        exp.LaxInt64: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 627        exp.LaxString: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 628        exp.MD5Digest: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BINARY),
 629        exp.Normalize: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 630        exp.Ntile: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 631        exp.ParseTime: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.TIME),
 632        exp.ParseDatetime: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DATETIME),
 633        exp.ParseBignumeric: lambda self, e: self._annotate_with_type(
 634            e, exp.DataType.Type.BIGDECIMAL
 635        ),
 636        exp.ParseNumeric: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DECIMAL),
 637        exp.PercentileCont: lambda self, e: _annotate_by_args_with_coerce(self, e),
 638        exp.PercentRank: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 639        exp.Rank: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 640        exp.RangeBucket: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 641        exp.RegexpExtractAll: lambda self, e: self._annotate_by_args(e, "this", array=True),
 642        exp.RegexpInstr: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 643        exp.RowNumber: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 644        exp.Rand: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 645        exp.SafeConvertBytesToString: lambda self, e: self._annotate_with_type(
 646            e, exp.DataType.Type.VARCHAR
 647        ),
 648        exp.SafeAdd: lambda self, e: _annotate_by_args_with_coerce(self, e),
 649        exp.SafeMultiply: lambda self, e: _annotate_by_args_with_coerce(self, e),
 650        exp.SafeSubtract: lambda self, e: _annotate_by_args_with_coerce(self, e),
 651        exp.Sec: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 652        exp.Sech: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 653        exp.Soundex: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 654        exp.SHA: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BINARY),
 655        exp.SHA2: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BINARY),
 656        exp.Sin: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 657        exp.Sinh: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.DOUBLE),
 658        exp.Split: lambda self, e: self._annotate_by_args(e, "this", array=True),
 659        exp.TimestampFromParts: lambda self, e: self._annotate_with_type(
 660            e, exp.DataType.Type.DATETIME
 661        ),
 662        exp.TimeFromParts: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.TIME),
 663        exp.TimeTrunc: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.TIME),
 664        exp.ToCodePoints: lambda self, e: self._annotate_with_type(
 665            e, exp.DataType.build("ARRAY<BIGINT>", dialect="bigquery")
 666        ),
 667        exp.TsOrDsToTime: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.TIME),
 668        exp.Unicode: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.BIGINT),
 669        exp.Uuid: lambda self, e: self._annotate_with_type(e, exp.DataType.Type.VARCHAR),
 670    }
 671
 672    def normalize_identifier(self, expression: E) -> E:
 673        if (
 674            isinstance(expression, exp.Identifier)
 675            and self.normalization_strategy is NormalizationStrategy.CASE_INSENSITIVE
 676        ):
 677            parent = expression.parent
 678            while isinstance(parent, exp.Dot):
 679                parent = parent.parent
 680
 681            # In BigQuery, CTEs are case-insensitive, but UDF and table names are case-sensitive
 682            # by default. The following check uses a heuristic to detect tables based on whether
 683            # they are qualified. This should generally be correct, because tables in BigQuery
 684            # must be qualified with at least a dataset, unless @@dataset_id is set.
 685            case_sensitive = (
 686                isinstance(parent, exp.UserDefinedFunction)
 687                or (
 688                    isinstance(parent, exp.Table)
 689                    and parent.db
 690                    and (parent.meta.get("quoted_table") or not parent.meta.get("maybe_column"))
 691                )
 692                or expression.meta.get("is_table")
 693            )
 694            if not case_sensitive:
 695                expression.set("this", expression.this.lower())
 696
 697            return t.cast(E, expression)
 698
 699        return super().normalize_identifier(expression)
 700
 701    class JSONPathTokenizer(jsonpath.JSONPathTokenizer):
 702        VAR_TOKENS = {
 703            TokenType.DASH,
 704            TokenType.VAR,
 705        }
 706
 707    class Tokenizer(tokens.Tokenizer):
 708        QUOTES = ["'", '"', '"""', "'''"]
 709        COMMENTS = ["--", "#", ("/*", "*/")]
 710        IDENTIFIERS = ["`"]
 711        STRING_ESCAPES = ["\\"]
 712
 713        HEX_STRINGS = [("0x", ""), ("0X", "")]
 714
 715        BYTE_STRINGS = [
 716            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
 717        ]
 718
 719        RAW_STRINGS = [
 720            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
 721        ]
 722
 723        NESTED_COMMENTS = False
 724
 725        KEYWORDS = {
 726            **tokens.Tokenizer.KEYWORDS,
 727            "ANY TYPE": TokenType.VARIANT,
 728            "BEGIN": TokenType.COMMAND,
 729            "BEGIN TRANSACTION": TokenType.BEGIN,
 730            "BYTEINT": TokenType.INT,
 731            "BYTES": TokenType.BINARY,
 732            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
 733            "DATETIME": TokenType.TIMESTAMP,
 734            "DECLARE": TokenType.DECLARE,
 735            "ELSEIF": TokenType.COMMAND,
 736            "EXCEPTION": TokenType.COMMAND,
 737            "EXPORT": TokenType.EXPORT,
 738            "FLOAT64": TokenType.DOUBLE,
 739            "FOR SYSTEM_TIME": TokenType.TIMESTAMP_SNAPSHOT,
 740            "LOOP": TokenType.COMMAND,
 741            "MODEL": TokenType.MODEL,
 742            "NOT DETERMINISTIC": TokenType.VOLATILE,
 743            "RECORD": TokenType.STRUCT,
 744            "REPEAT": TokenType.COMMAND,
 745            "TIMESTAMP": TokenType.TIMESTAMPTZ,
 746            "WHILE": TokenType.COMMAND,
 747        }
 748        KEYWORDS.pop("DIV")
 749        KEYWORDS.pop("VALUES")
 750        KEYWORDS.pop("/*+")
 751
 752    class Parser(parser.Parser):
 753        PREFIXED_PIVOT_COLUMNS = True
 754        LOG_DEFAULTS_TO_LN = True
 755        SUPPORTS_IMPLICIT_UNNEST = True
 756        JOINS_HAVE_EQUAL_PRECEDENCE = True
 757
 758        # BigQuery does not allow ASC/DESC to be used as an identifier
 759        ID_VAR_TOKENS = parser.Parser.ID_VAR_TOKENS - {TokenType.ASC, TokenType.DESC}
 760        ALIAS_TOKENS = parser.Parser.ALIAS_TOKENS - {TokenType.ASC, TokenType.DESC}
 761        TABLE_ALIAS_TOKENS = parser.Parser.TABLE_ALIAS_TOKENS - {TokenType.ASC, TokenType.DESC}
 762        COMMENT_TABLE_ALIAS_TOKENS = parser.Parser.COMMENT_TABLE_ALIAS_TOKENS - {
 763            TokenType.ASC,
 764            TokenType.DESC,
 765        }
 766        UPDATE_ALIAS_TOKENS = parser.Parser.UPDATE_ALIAS_TOKENS - {TokenType.ASC, TokenType.DESC}
 767
 768        FUNCTIONS = {
 769            **parser.Parser.FUNCTIONS,
 770            "APPROX_TOP_COUNT": exp.ApproxTopK.from_arg_list,
 771            "BIT_AND": exp.BitwiseAndAgg.from_arg_list,
 772            "BIT_OR": exp.BitwiseOrAgg.from_arg_list,
 773            "BIT_XOR": exp.BitwiseXorAgg.from_arg_list,
 774            "BIT_COUNT": exp.BitwiseCountAgg.from_arg_list,
 775            "BOOL": exp.JSONBool.from_arg_list,
 776            "CONTAINS_SUBSTR": _build_contains_substring,
 777            "DATE": _build_date,
 778            "DATE_ADD": build_date_delta_with_interval(exp.DateAdd),
 779            "DATE_SUB": build_date_delta_with_interval(exp.DateSub),
 780            "DATE_TRUNC": lambda args: exp.DateTrunc(
 781                unit=seq_get(args, 1),
 782                this=seq_get(args, 0),
 783                zone=seq_get(args, 2),
 784            ),
 785            "DATETIME": _build_datetime,
 786            "DATETIME_ADD": build_date_delta_with_interval(exp.DatetimeAdd),
 787            "DATETIME_SUB": build_date_delta_with_interval(exp.DatetimeSub),
 788            "DIV": binary_from_function(exp.IntDiv),
 789            "EDIT_DISTANCE": _build_levenshtein,
 790            "FORMAT_DATE": _build_format_time(exp.TsOrDsToDate),
 791            "GENERATE_ARRAY": exp.GenerateSeries.from_arg_list,
 792            "JSON_EXTRACT_SCALAR": _build_extract_json_with_default_path(exp.JSONExtractScalar),
 793            "JSON_EXTRACT_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
 794            "JSON_EXTRACT_STRING_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
 795            "JSON_KEYS": exp.JSONKeysAtDepth.from_arg_list,
 796            "JSON_QUERY": parser.build_extract_json_with_path(exp.JSONExtract),
 797            "JSON_QUERY_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
 798            "JSON_STRIP_NULLS": _build_json_strip_nulls,
 799            "JSON_VALUE": _build_extract_json_with_default_path(exp.JSONExtractScalar),
 800            "JSON_VALUE_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
 801            "LENGTH": lambda args: exp.Length(this=seq_get(args, 0), binary=True),
 802            "MD5": exp.MD5Digest.from_arg_list,
 803            "NORMALIZE_AND_CASEFOLD": lambda args: exp.Normalize(
 804                this=seq_get(args, 0), form=seq_get(args, 1), is_casefold=True
 805            ),
 806            "OCTET_LENGTH": exp.ByteLength.from_arg_list,
 807            "TO_HEX": _build_to_hex,
 808            "PARSE_DATE": lambda args: build_formatted_time(exp.StrToDate, "bigquery")(
 809                [seq_get(args, 1), seq_get(args, 0)]
 810            ),
 811            "PARSE_TIME": lambda args: build_formatted_time(exp.ParseTime, "bigquery")(
 812                [seq_get(args, 1), seq_get(args, 0)]
 813            ),
 814            "PARSE_TIMESTAMP": _build_parse_timestamp,
 815            "PARSE_DATETIME": lambda args: build_formatted_time(exp.ParseDatetime, "bigquery")(
 816                [seq_get(args, 1), seq_get(args, 0)]
 817            ),
 818            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
 819            "REGEXP_EXTRACT": _build_regexp_extract(exp.RegexpExtract),
 820            "REGEXP_SUBSTR": _build_regexp_extract(exp.RegexpExtract),
 821            "REGEXP_EXTRACT_ALL": _build_regexp_extract(
 822                exp.RegexpExtractAll, default_group=exp.Literal.number(0)
 823            ),
 824            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
 825            "SHA512": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(512)),
 826            "SPLIT": lambda args: exp.Split(
 827                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
 828                this=seq_get(args, 0),
 829                expression=seq_get(args, 1) or exp.Literal.string(","),
 830            ),
 831            "STRPOS": exp.StrPosition.from_arg_list,
 832            "TIME": _build_time,
 833            "TIME_ADD": build_date_delta_with_interval(exp.TimeAdd),
 834            "TIME_SUB": build_date_delta_with_interval(exp.TimeSub),
 835            "TIMESTAMP": _build_timestamp,
 836            "TIMESTAMP_ADD": build_date_delta_with_interval(exp.TimestampAdd),
 837            "TIMESTAMP_SUB": build_date_delta_with_interval(exp.TimestampSub),
 838            "TIMESTAMP_MICROS": lambda args: exp.UnixToTime(
 839                this=seq_get(args, 0), scale=exp.UnixToTime.MICROS
 840            ),
 841            "TIMESTAMP_MILLIS": lambda args: exp.UnixToTime(
 842                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
 843            ),
 844            "TIMESTAMP_SECONDS": lambda args: exp.UnixToTime(this=seq_get(args, 0)),
 845            "TO_JSON": lambda args: exp.JSONFormat(
 846                this=seq_get(args, 0), options=seq_get(args, 1), to_json=True
 847            ),
 848            "TO_JSON_STRING": exp.JSONFormat.from_arg_list,
 849            "FORMAT_DATETIME": _build_format_time(exp.TsOrDsToDatetime),
 850            "FORMAT_TIMESTAMP": _build_format_time(exp.TsOrDsToTimestamp),
 851            "FORMAT_TIME": _build_format_time(exp.TsOrDsToTime),
 852            "FROM_HEX": exp.Unhex.from_arg_list,
 853            "WEEK": lambda args: exp.WeekStart(this=exp.var(seq_get(args, 0))),
 854        }
 855
 856        FUNCTION_PARSERS = {
 857            **parser.Parser.FUNCTION_PARSERS,
 858            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
 859            "JSON_ARRAY": lambda self: self.expression(
 860                exp.JSONArray, expressions=self._parse_csv(self._parse_bitwise)
 861            ),
 862            "MAKE_INTERVAL": lambda self: self._parse_make_interval(),
 863            "PREDICT": lambda self: self._parse_ml(exp.Predict),
 864            "TRANSLATE": lambda self: self._parse_translate(),
 865            "FEATURES_AT_TIME": lambda self: self._parse_features_at_time(),
 866            "GENERATE_EMBEDDING": lambda self: self._parse_ml(exp.GenerateEmbedding),
 867            "GENERATE_TEXT_EMBEDDING": lambda self: self._parse_ml(
 868                exp.GenerateEmbedding, is_text=True
 869            ),
 870            "VECTOR_SEARCH": lambda self: self._parse_vector_search(),
 871            "FORECAST": lambda self: self._parse_ml(exp.MLForecast),
 872        }
 873        FUNCTION_PARSERS.pop("TRIM")
 874
 875        NO_PAREN_FUNCTIONS = {
 876            **parser.Parser.NO_PAREN_FUNCTIONS,
 877            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
 878        }
 879
 880        NESTED_TYPE_TOKENS = {
 881            *parser.Parser.NESTED_TYPE_TOKENS,
 882            TokenType.TABLE,
 883        }
 884
 885        PROPERTY_PARSERS = {
 886            **parser.Parser.PROPERTY_PARSERS,
 887            "NOT DETERMINISTIC": lambda self: self.expression(
 888                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
 889            ),
 890            "OPTIONS": lambda self: self._parse_with_property(),
 891        }
 892
 893        CONSTRAINT_PARSERS = {
 894            **parser.Parser.CONSTRAINT_PARSERS,
 895            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
 896        }
 897
 898        RANGE_PARSERS = parser.Parser.RANGE_PARSERS.copy()
 899        RANGE_PARSERS.pop(TokenType.OVERLAPS)
 900
 901        DASHED_TABLE_PART_FOLLOW_TOKENS = {TokenType.DOT, TokenType.L_PAREN, TokenType.R_PAREN}
 902
 903        STATEMENT_PARSERS = {
 904            **parser.Parser.STATEMENT_PARSERS,
 905            TokenType.ELSE: lambda self: self._parse_as_command(self._prev),
 906            TokenType.END: lambda self: self._parse_as_command(self._prev),
 907            TokenType.FOR: lambda self: self._parse_for_in(),
 908            TokenType.EXPORT: lambda self: self._parse_export_data(),
 909            TokenType.DECLARE: lambda self: self._parse_declare(),
 910        }
 911
 912        BRACKET_OFFSETS = {
 913            "OFFSET": (0, False),
 914            "ORDINAL": (1, False),
 915            "SAFE_OFFSET": (0, True),
 916            "SAFE_ORDINAL": (1, True),
 917        }
 918
 919        def _parse_for_in(self) -> t.Union[exp.ForIn, exp.Command]:
 920            index = self._index
 921            this = self._parse_range()
 922            self._match_text_seq("DO")
 923            if self._match(TokenType.COMMAND):
 924                self._retreat(index)
 925                return self._parse_as_command(self._prev)
 926            return self.expression(exp.ForIn, this=this, expression=self._parse_statement())
 927
 928        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
 929            this = super()._parse_table_part(schema=schema) or self._parse_number()
 930
 931            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
 932            if isinstance(this, exp.Identifier):
 933                table_name = this.name
 934                while self._match(TokenType.DASH, advance=False) and self._next:
 935                    start = self._curr
 936                    while self._is_connected() and not self._match_set(
 937                        self.DASHED_TABLE_PART_FOLLOW_TOKENS, advance=False
 938                    ):
 939                        self._advance()
 940
 941                    if start == self._curr:
 942                        break
 943
 944                    table_name += self._find_sql(start, self._prev)
 945
 946                this = exp.Identifier(
 947                    this=table_name, quoted=this.args.get("quoted")
 948                ).update_positions(this)
 949            elif isinstance(this, exp.Literal):
 950                table_name = this.name
 951
 952                if self._is_connected() and self._parse_var(any_token=True):
 953                    table_name += self._prev.text
 954
 955                this = exp.Identifier(this=table_name, quoted=True).update_positions(this)
 956
 957            return this
 958
 959        def _parse_table_parts(
 960            self, schema: bool = False, is_db_reference: bool = False, wildcard: bool = False
 961        ) -> exp.Table:
 962            table = super()._parse_table_parts(
 963                schema=schema, is_db_reference=is_db_reference, wildcard=True
 964            )
 965
 966            # proj-1.db.tbl -- `1.` is tokenized as a float so we need to unravel it here
 967            if not table.catalog:
 968                if table.db:
 969                    previous_db = table.args["db"]
 970                    parts = table.db.split(".")
 971                    if len(parts) == 2 and not table.args["db"].quoted:
 972                        table.set(
 973                            "catalog", exp.Identifier(this=parts[0]).update_positions(previous_db)
 974                        )
 975                        table.set("db", exp.Identifier(this=parts[1]).update_positions(previous_db))
 976                else:
 977                    previous_this = table.this
 978                    parts = table.name.split(".")
 979                    if len(parts) == 2 and not table.this.quoted:
 980                        table.set(
 981                            "db", exp.Identifier(this=parts[0]).update_positions(previous_this)
 982                        )
 983                        table.set(
 984                            "this", exp.Identifier(this=parts[1]).update_positions(previous_this)
 985                        )
 986
 987            if isinstance(table.this, exp.Identifier) and any("." in p.name for p in table.parts):
 988                alias = table.this
 989                catalog, db, this, *rest = (
 990                    exp.to_identifier(p, quoted=True)
 991                    for p in split_num_words(".".join(p.name for p in table.parts), ".", 3)
 992                )
 993
 994                for part in (catalog, db, this):
 995                    if part:
 996                        part.update_positions(table.this)
 997
 998                if rest and this:
 999                    this = exp.Dot.build([this, *rest])  # type: ignore
1000
1001                table = exp.Table(
1002                    this=this, db=db, catalog=catalog, pivots=table.args.get("pivots")
1003                )
1004                table.meta["quoted_table"] = True
1005            else:
1006                alias = None
1007
1008            # The `INFORMATION_SCHEMA` views in BigQuery need to be qualified by a region or
1009            # dataset, so if the project identifier is omitted we need to fix the ast so that
1010            # the `INFORMATION_SCHEMA.X` bit is represented as a single (quoted) Identifier.
1011            # Otherwise, we wouldn't correctly qualify a `Table` node that references these
1012            # views, because it would seem like the "catalog" part is set, when it'd actually
1013            # be the region/dataset. Merging the two identifiers into a single one is done to
1014            # avoid producing a 4-part Table reference, which would cause issues in the schema
1015            # module, when there are 3-part table names mixed with information schema views.
1016            #
1017            # See: https://cloud.google.com/bigquery/docs/information-schema-intro#syntax
1018            table_parts = table.parts
1019            if len(table_parts) > 1 and table_parts[-2].name.upper() == "INFORMATION_SCHEMA":
1020                # We need to alias the table here to avoid breaking existing qualified columns.
1021                # This is expected to be safe, because if there's an actual alias coming up in
1022                # the token stream, it will overwrite this one. If there isn't one, we are only
1023                # exposing the name that can be used to reference the view explicitly (a no-op).
1024                exp.alias_(
1025                    table,
1026                    t.cast(exp.Identifier, alias or table_parts[-1]),
1027                    table=True,
1028                    copy=False,
1029                )
1030
1031                info_schema_view = f"{table_parts[-2].name}.{table_parts[-1].name}"
1032                new_this = exp.Identifier(this=info_schema_view, quoted=True).update_positions(
1033                    line=table_parts[-2].meta.get("line"),
1034                    col=table_parts[-1].meta.get("col"),
1035                    start=table_parts[-2].meta.get("start"),
1036                    end=table_parts[-1].meta.get("end"),
1037                )
1038                table.set("this", new_this)
1039                table.set("db", seq_get(table_parts, -3))
1040                table.set("catalog", seq_get(table_parts, -4))
1041
1042            return table
1043
1044        def _parse_column(self) -> t.Optional[exp.Expression]:
1045            column = super()._parse_column()
1046            if isinstance(column, exp.Column):
1047                parts = column.parts
1048                if any("." in p.name for p in parts):
1049                    catalog, db, table, this, *rest = (
1050                        exp.to_identifier(p, quoted=True)
1051                        for p in split_num_words(".".join(p.name for p in parts), ".", 4)
1052                    )
1053
1054                    if rest and this:
1055                        this = exp.Dot.build([this, *rest])  # type: ignore
1056
1057                    column = exp.Column(this=this, table=table, db=db, catalog=catalog)
1058                    column.meta["quoted_column"] = True
1059
1060            return column
1061
1062        @t.overload
1063        def _parse_json_object(self, agg: Lit[False]) -> exp.JSONObject: ...
1064
1065        @t.overload
1066        def _parse_json_object(self, agg: Lit[True]) -> exp.JSONObjectAgg: ...
1067
1068        def _parse_json_object(self, agg=False):
1069            json_object = super()._parse_json_object()
1070            array_kv_pair = seq_get(json_object.expressions, 0)
1071
1072            # Converts BQ's "signature 2" of JSON_OBJECT into SQLGlot's canonical representation
1073            # https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions#json_object_signature2
1074            if (
1075                array_kv_pair
1076                and isinstance(array_kv_pair.this, exp.Array)
1077                and isinstance(array_kv_pair.expression, exp.Array)
1078            ):
1079                keys = array_kv_pair.this.expressions
1080                values = array_kv_pair.expression.expressions
1081
1082                json_object.set(
1083                    "expressions",
1084                    [exp.JSONKeyValue(this=k, expression=v) for k, v in zip(keys, values)],
1085                )
1086
1087            return json_object
1088
1089        def _parse_bracket(
1090            self, this: t.Optional[exp.Expression] = None
1091        ) -> t.Optional[exp.Expression]:
1092            bracket = super()._parse_bracket(this)
1093
1094            if this is bracket:
1095                return bracket
1096
1097            if isinstance(bracket, exp.Bracket):
1098                for expression in bracket.expressions:
1099                    name = expression.name.upper()
1100
1101                    if name not in self.BRACKET_OFFSETS:
1102                        break
1103
1104                    offset, safe = self.BRACKET_OFFSETS[name]
1105                    bracket.set("offset", offset)
1106                    bracket.set("safe", safe)
1107                    expression.replace(expression.expressions[0])
1108
1109            return bracket
1110
1111        def _parse_unnest(self, with_alias: bool = True) -> t.Optional[exp.Unnest]:
1112            unnest = super()._parse_unnest(with_alias=with_alias)
1113
1114            if not unnest:
1115                return None
1116
1117            unnest_expr = seq_get(unnest.expressions, 0)
1118            if unnest_expr:
1119                from sqlglot.optimizer.annotate_types import annotate_types
1120
1121                unnest_expr = annotate_types(unnest_expr, dialect=self.dialect)
1122
1123                # Unnesting a nested array (i.e array of structs) explodes the top-level struct fields,
1124                # in contrast to other dialects such as DuckDB which flattens only the array by default
1125                if unnest_expr.is_type(exp.DataType.Type.ARRAY) and any(
1126                    array_elem.is_type(exp.DataType.Type.STRUCT)
1127                    for array_elem in unnest_expr._type.expressions
1128                ):
1129                    unnest.set("explode_array", True)
1130
1131            return unnest
1132
1133        def _parse_make_interval(self) -> exp.MakeInterval:
1134            expr = exp.MakeInterval()
1135
1136            for arg_key in expr.arg_types:
1137                value = self._parse_lambda()
1138
1139                if not value:
1140                    break
1141
1142                # Non-named arguments are filled sequentially, (optionally) followed by named arguments
1143                # that can appear in any order e.g MAKE_INTERVAL(1, minute => 5, day => 2)
1144                if isinstance(value, exp.Kwarg):
1145                    arg_key = value.this.name
1146
1147                expr.set(arg_key, value)
1148
1149                self._match(TokenType.COMMA)
1150
1151            return expr
1152
1153        def _parse_ml(self, expr_type: t.Type[E], **kwargs) -> E:
1154            self._match_text_seq("MODEL")
1155            this = self._parse_table()
1156
1157            self._match(TokenType.COMMA)
1158            self._match_text_seq("TABLE")
1159
1160            # Certain functions like ML.FORECAST require a STRUCT argument but not a TABLE/SELECT one
1161            expression = (
1162                self._parse_table() if not self._match(TokenType.STRUCT, advance=False) else None
1163            )
1164
1165            self._match(TokenType.COMMA)
1166
1167            return self.expression(
1168                expr_type,
1169                this=this,
1170                expression=expression,
1171                params_struct=self._parse_bitwise(),
1172                **kwargs,
1173            )
1174
1175        def _parse_translate(self) -> exp.Translate | exp.MLTranslate:
1176            # Check if this is ML.TRANSLATE by looking at previous tokens
1177            token = seq_get(self._tokens, self._index - 4)
1178            if token and token.text.upper() == "ML":
1179                return self._parse_ml(exp.MLTranslate)
1180
1181            return exp.Translate.from_arg_list(self._parse_function_args())
1182
1183        def _parse_features_at_time(self) -> exp.FeaturesAtTime:
1184            self._match(TokenType.TABLE)
1185            this = self._parse_table()
1186
1187            expr = self.expression(exp.FeaturesAtTime, this=this)
1188
1189            while self._match(TokenType.COMMA):
1190                arg = self._parse_lambda()
1191
1192                # Get the LHS of the Kwarg and set the arg to that value, e.g
1193                # "num_rows => 1" sets the expr's `num_rows` arg
1194                if arg:
1195                    expr.set(arg.this.name, arg)
1196
1197            return expr
1198
1199        def _parse_vector_search(self) -> exp.VectorSearch:
1200            self._match(TokenType.TABLE)
1201            base_table = self._parse_table()
1202
1203            self._match(TokenType.COMMA)
1204
1205            column_to_search = self._parse_bitwise()
1206            self._match(TokenType.COMMA)
1207
1208            self._match(TokenType.TABLE)
1209            query_table = self._parse_table()
1210
1211            expr = self.expression(
1212                exp.VectorSearch,
1213                this=base_table,
1214                column_to_search=column_to_search,
1215                query_table=query_table,
1216            )
1217
1218            while self._match(TokenType.COMMA):
1219                # query_column_to_search can be named argument or positional
1220                if self._match(TokenType.STRING, advance=False):
1221                    query_column = self._parse_string()
1222                    expr.set("query_column_to_search", query_column)
1223                else:
1224                    arg = self._parse_lambda()
1225                    if arg:
1226                        expr.set(arg.this.name, arg)
1227
1228            return expr
1229
1230        def _parse_export_data(self) -> exp.Export:
1231            self._match_text_seq("DATA")
1232
1233            return self.expression(
1234                exp.Export,
1235                connection=self._match_text_seq("WITH", "CONNECTION") and self._parse_table_parts(),
1236                options=self._parse_properties(),
1237                this=self._match_text_seq("AS") and self._parse_select(),
1238            )
1239
1240    class Generator(generator.Generator):
1241        INTERVAL_ALLOWS_PLURAL_FORM = False
1242        JOIN_HINTS = False
1243        QUERY_HINTS = False
1244        TABLE_HINTS = False
1245        LIMIT_FETCH = "LIMIT"
1246        RENAME_TABLE_WITH_DB = False
1247        NVL2_SUPPORTED = False
1248        UNNEST_WITH_ORDINALITY = False
1249        COLLATE_IS_FUNC = True
1250        LIMIT_ONLY_LITERALS = True
1251        SUPPORTS_TABLE_ALIAS_COLUMNS = False
1252        UNPIVOT_ALIASES_ARE_IDENTIFIERS = False
1253        JSON_KEY_VALUE_PAIR_SEP = ","
1254        NULL_ORDERING_SUPPORTED = False
1255        IGNORE_NULLS_IN_FUNC = True
1256        JSON_PATH_SINGLE_QUOTE_ESCAPE = True
1257        CAN_IMPLEMENT_ARRAY_ANY = True
1258        SUPPORTS_TO_NUMBER = False
1259        NAMED_PLACEHOLDER_TOKEN = "@"
1260        HEX_FUNC = "TO_HEX"
1261        WITH_PROPERTIES_PREFIX = "OPTIONS"
1262        SUPPORTS_EXPLODING_PROJECTIONS = False
1263        EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE = False
1264        SUPPORTS_UNIX_SECONDS = True
1265
1266        SAFE_JSON_PATH_KEY_RE = re.compile(r"^[_\-a-zA-Z][\-\w]*$")
1267
1268        TS_OR_DS_TYPES = (
1269            exp.TsOrDsToDatetime,
1270            exp.TsOrDsToTimestamp,
1271            exp.TsOrDsToTime,
1272            exp.TsOrDsToDate,
1273        )
1274
1275        TRANSFORMS = {
1276            **generator.Generator.TRANSFORMS,
1277            exp.ApproxTopK: rename_func("APPROX_TOP_COUNT"),
1278            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
1279            exp.ArgMax: arg_max_or_min_no_count("MAX_BY"),
1280            exp.ArgMin: arg_max_or_min_no_count("MIN_BY"),
1281            exp.Array: inline_array_unless_query,
1282            exp.ArrayContains: _array_contains_sql,
1283            exp.ArrayFilter: filter_array_using_unnest,
1284            exp.ArrayRemove: filter_array_using_unnest,
1285            exp.BitwiseAndAgg: rename_func("BIT_AND"),
1286            exp.BitwiseOrAgg: rename_func("BIT_OR"),
1287            exp.BitwiseXorAgg: rename_func("BIT_XOR"),
1288            exp.BitwiseCountAgg: rename_func("BIT_COUNT"),
1289            exp.ByteLength: rename_func("BYTE_LENGTH"),
1290            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
1291            exp.CollateProperty: lambda self, e: (
1292                f"DEFAULT COLLATE {self.sql(e, 'this')}"
1293                if e.args.get("default")
1294                else f"COLLATE {self.sql(e, 'this')}"
1295            ),
1296            exp.Commit: lambda *_: "COMMIT TRANSACTION",
1297            exp.CountIf: rename_func("COUNTIF"),
1298            exp.Create: _create_sql,
1299            exp.CTE: transforms.preprocess([_pushdown_cte_column_names]),
1300            exp.DateAdd: date_add_interval_sql("DATE", "ADD"),
1301            exp.DateDiff: lambda self, e: self.func(
1302                "DATE_DIFF", e.this, e.expression, unit_to_var(e)
1303            ),
1304            exp.DateFromParts: rename_func("DATE"),
1305            exp.DateStrToDate: datestrtodate_sql,
1306            exp.DateSub: date_add_interval_sql("DATE", "SUB"),
1307            exp.DatetimeAdd: date_add_interval_sql("DATETIME", "ADD"),
1308            exp.DatetimeSub: date_add_interval_sql("DATETIME", "SUB"),
1309            exp.DateFromUnixDate: rename_func("DATE_FROM_UNIX_DATE"),
1310            exp.FromTimeZone: lambda self, e: self.func(
1311                "DATETIME", self.func("TIMESTAMP", e.this, e.args.get("zone")), "'UTC'"
1312            ),
1313            exp.GenerateSeries: rename_func("GENERATE_ARRAY"),
1314            exp.GroupConcat: lambda self, e: groupconcat_sql(
1315                self, e, func_name="STRING_AGG", within_group=False
1316            ),
1317            exp.Hex: lambda self, e: self.func("UPPER", self.func("TO_HEX", self.sql(e, "this"))),
1318            exp.HexString: lambda self, e: self.hexstring_sql(e, binary_function_repr="FROM_HEX"),
1319            exp.If: if_sql(false_value="NULL"),
1320            exp.ILike: no_ilike_sql,
1321            exp.IntDiv: rename_func("DIV"),
1322            exp.Int64: rename_func("INT64"),
1323            exp.JSONBool: rename_func("BOOL"),
1324            exp.JSONExtract: _json_extract_sql,
1325            exp.JSONExtractArray: _json_extract_sql,
1326            exp.JSONExtractScalar: _json_extract_sql,
1327            exp.JSONFormat: lambda self, e: self.func(
1328                "TO_JSON" if e.args.get("to_json") else "TO_JSON_STRING",
1329                e.this,
1330                e.args.get("options"),
1331            ),
1332            exp.JSONKeysAtDepth: rename_func("JSON_KEYS"),
1333            exp.JSONValueArray: rename_func("JSON_VALUE_ARRAY"),
1334            exp.Levenshtein: _levenshtein_sql,
1335            exp.Max: max_or_greatest,
1336            exp.MD5: lambda self, e: self.func("TO_HEX", self.func("MD5", e.this)),
1337            exp.MD5Digest: rename_func("MD5"),
1338            exp.Min: min_or_least,
1339            exp.Normalize: lambda self, e: self.func(
1340                "NORMALIZE_AND_CASEFOLD" if e.args.get("is_casefold") else "NORMALIZE",
1341                e.this,
1342                e.args.get("form"),
1343            ),
1344            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
1345            exp.RegexpExtract: lambda self, e: self.func(
1346                "REGEXP_EXTRACT",
1347                e.this,
1348                e.expression,
1349                e.args.get("position"),
1350                e.args.get("occurrence"),
1351            ),
1352            exp.RegexpExtractAll: lambda self, e: self.func(
1353                "REGEXP_EXTRACT_ALL", e.this, e.expression
1354            ),
1355            exp.RegexpReplace: regexp_replace_sql,
1356            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
1357            exp.ReturnsProperty: _returnsproperty_sql,
1358            exp.Rollback: lambda *_: "ROLLBACK TRANSACTION",
1359            exp.ParseTime: lambda self, e: self.func("PARSE_TIME", self.format_time(e), e.this),
1360            exp.ParseDatetime: lambda self, e: self.func(
1361                "PARSE_DATETIME", self.format_time(e), e.this
1362            ),
1363            exp.Select: transforms.preprocess(
1364                [
1365                    transforms.explode_projection_to_unnest(),
1366                    transforms.unqualify_unnest,
1367                    transforms.eliminate_distinct_on,
1368                    _alias_ordered_group,
1369                    transforms.eliminate_semi_and_anti_joins,
1370                ]
1371            ),
1372            exp.SHA: rename_func("SHA1"),
1373            exp.SHA2: sha256_sql,
1374            exp.StabilityProperty: lambda self, e: (
1375                "DETERMINISTIC" if e.name == "IMMUTABLE" else "NOT DETERMINISTIC"
1376            ),
1377            exp.String: rename_func("STRING"),
1378            exp.StrPosition: lambda self, e: (
1379                strposition_sql(
1380                    self, e, func_name="INSTR", supports_position=True, supports_occurrence=True
1381                )
1382            ),
1383            exp.StrToDate: _str_to_datetime_sql,
1384            exp.StrToTime: _str_to_datetime_sql,
1385            exp.TimeAdd: date_add_interval_sql("TIME", "ADD"),
1386            exp.TimeFromParts: rename_func("TIME"),
1387            exp.TimestampFromParts: rename_func("DATETIME"),
1388            exp.TimeSub: date_add_interval_sql("TIME", "SUB"),
1389            exp.TimestampAdd: date_add_interval_sql("TIMESTAMP", "ADD"),
1390            exp.TimestampDiff: rename_func("TIMESTAMP_DIFF"),
1391            exp.TimestampSub: date_add_interval_sql("TIMESTAMP", "SUB"),
1392            exp.TimeStrToTime: timestrtotime_sql,
1393            exp.Transaction: lambda *_: "BEGIN TRANSACTION",
1394            exp.TsOrDsAdd: _ts_or_ds_add_sql,
1395            exp.TsOrDsDiff: _ts_or_ds_diff_sql,
1396            exp.TsOrDsToTime: rename_func("TIME"),
1397            exp.TsOrDsToDatetime: rename_func("DATETIME"),
1398            exp.TsOrDsToTimestamp: rename_func("TIMESTAMP"),
1399            exp.Unhex: rename_func("FROM_HEX"),
1400            exp.UnixDate: rename_func("UNIX_DATE"),
1401            exp.UnixToTime: _unix_to_time_sql,
1402            exp.Uuid: lambda *_: "GENERATE_UUID()",
1403            exp.Values: _derived_table_values_to_unnest,
1404            exp.VariancePop: rename_func("VAR_POP"),
1405            exp.SafeDivide: rename_func("SAFE_DIVIDE"),
1406        }
1407
1408        SUPPORTED_JSON_PATH_PARTS = {
1409            exp.JSONPathKey,
1410            exp.JSONPathRoot,
1411            exp.JSONPathSubscript,
1412        }
1413
1414        TYPE_MAPPING = {
1415            **generator.Generator.TYPE_MAPPING,
1416            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
1417            exp.DataType.Type.BIGINT: "INT64",
1418            exp.DataType.Type.BINARY: "BYTES",
1419            exp.DataType.Type.BLOB: "BYTES",
1420            exp.DataType.Type.BOOLEAN: "BOOL",
1421            exp.DataType.Type.CHAR: "STRING",
1422            exp.DataType.Type.DECIMAL: "NUMERIC",
1423            exp.DataType.Type.DOUBLE: "FLOAT64",
1424            exp.DataType.Type.FLOAT: "FLOAT64",
1425            exp.DataType.Type.INT: "INT64",
1426            exp.DataType.Type.NCHAR: "STRING",
1427            exp.DataType.Type.NVARCHAR: "STRING",
1428            exp.DataType.Type.SMALLINT: "INT64",
1429            exp.DataType.Type.TEXT: "STRING",
1430            exp.DataType.Type.TIMESTAMP: "DATETIME",
1431            exp.DataType.Type.TIMESTAMPNTZ: "DATETIME",
1432            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
1433            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
1434            exp.DataType.Type.TINYINT: "INT64",
1435            exp.DataType.Type.ROWVERSION: "BYTES",
1436            exp.DataType.Type.UUID: "STRING",
1437            exp.DataType.Type.VARBINARY: "BYTES",
1438            exp.DataType.Type.VARCHAR: "STRING",
1439            exp.DataType.Type.VARIANT: "ANY TYPE",
1440        }
1441
1442        PROPERTIES_LOCATION = {
1443            **generator.Generator.PROPERTIES_LOCATION,
1444            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
1445            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
1446        }
1447
1448        # WINDOW comes after QUALIFY
1449        # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#window_clause
1450        AFTER_HAVING_MODIFIER_TRANSFORMS = {
1451            "qualify": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["qualify"],
1452            "windows": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["windows"],
1453        }
1454
1455        # from: https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#reserved_keywords
1456        RESERVED_KEYWORDS = {
1457            "all",
1458            "and",
1459            "any",
1460            "array",
1461            "as",
1462            "asc",
1463            "assert_rows_modified",
1464            "at",
1465            "between",
1466            "by",
1467            "case",
1468            "cast",
1469            "collate",
1470            "contains",
1471            "create",
1472            "cross",
1473            "cube",
1474            "current",
1475            "default",
1476            "define",
1477            "desc",
1478            "distinct",
1479            "else",
1480            "end",
1481            "enum",
1482            "escape",
1483            "except",
1484            "exclude",
1485            "exists",
1486            "extract",
1487            "false",
1488            "fetch",
1489            "following",
1490            "for",
1491            "from",
1492            "full",
1493            "group",
1494            "grouping",
1495            "groups",
1496            "hash",
1497            "having",
1498            "if",
1499            "ignore",
1500            "in",
1501            "inner",
1502            "intersect",
1503            "interval",
1504            "into",
1505            "is",
1506            "join",
1507            "lateral",
1508            "left",
1509            "like",
1510            "limit",
1511            "lookup",
1512            "merge",
1513            "natural",
1514            "new",
1515            "no",
1516            "not",
1517            "null",
1518            "nulls",
1519            "of",
1520            "on",
1521            "or",
1522            "order",
1523            "outer",
1524            "over",
1525            "partition",
1526            "preceding",
1527            "proto",
1528            "qualify",
1529            "range",
1530            "recursive",
1531            "respect",
1532            "right",
1533            "rollup",
1534            "rows",
1535            "select",
1536            "set",
1537            "some",
1538            "struct",
1539            "tablesample",
1540            "then",
1541            "to",
1542            "treat",
1543            "true",
1544            "unbounded",
1545            "union",
1546            "unnest",
1547            "using",
1548            "when",
1549            "where",
1550            "window",
1551            "with",
1552            "within",
1553        }
1554
1555        def datetrunc_sql(self, expression: exp.DateTrunc) -> str:
1556            unit = expression.unit
1557            unit_sql = unit.name if unit.is_string else self.sql(unit)
1558            return self.func("DATE_TRUNC", expression.this, unit_sql, expression.args.get("zone"))
1559
1560        def mod_sql(self, expression: exp.Mod) -> str:
1561            this = expression.this
1562            expr = expression.expression
1563            return self.func(
1564                "MOD",
1565                this.unnest() if isinstance(this, exp.Paren) else this,
1566                expr.unnest() if isinstance(expr, exp.Paren) else expr,
1567            )
1568
1569        def column_parts(self, expression: exp.Column) -> str:
1570            if expression.meta.get("quoted_column"):
1571                # If a column reference is of the form `dataset.table`.name, we need
1572                # to preserve the quoted table path, otherwise the reference breaks
1573                table_parts = ".".join(p.name for p in expression.parts[:-1])
1574                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
1575                return f"{table_path}.{self.sql(expression, 'this')}"
1576
1577            return super().column_parts(expression)
1578
1579        def table_parts(self, expression: exp.Table) -> str:
1580            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
1581            # we need to make sure the correct quoting is used in each case.
1582            #
1583            # For example, if there is a CTE x that clashes with a schema name, then the former will
1584            # return the table y in that schema, whereas the latter will return the CTE's y column:
1585            #
1586            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
1587            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
1588            if expression.meta.get("quoted_table"):
1589                table_parts = ".".join(p.name for p in expression.parts)
1590                return self.sql(exp.Identifier(this=table_parts, quoted=True))
1591
1592            return super().table_parts(expression)
1593
1594        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
1595            this = expression.this
1596            if isinstance(this, exp.TsOrDsToDatetime):
1597                func_name = "FORMAT_DATETIME"
1598            elif isinstance(this, exp.TsOrDsToTimestamp):
1599                func_name = "FORMAT_TIMESTAMP"
1600            elif isinstance(this, exp.TsOrDsToTime):
1601                func_name = "FORMAT_TIME"
1602            else:
1603                func_name = "FORMAT_DATE"
1604
1605            time_expr = this if isinstance(this, self.TS_OR_DS_TYPES) else expression
1606            return self.func(
1607                func_name, self.format_time(expression), time_expr.this, expression.args.get("zone")
1608            )
1609
1610        def eq_sql(self, expression: exp.EQ) -> str:
1611            # Operands of = cannot be NULL in BigQuery
1612            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
1613                if not isinstance(expression.parent, exp.Update):
1614                    return "NULL"
1615
1616            return self.binary(expression, "=")
1617
1618        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
1619            parent = expression.parent
1620
1621            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
1622            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
1623            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
1624                return self.func(
1625                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
1626                )
1627
1628            return super().attimezone_sql(expression)
1629
1630        def trycast_sql(self, expression: exp.TryCast) -> str:
1631            return self.cast_sql(expression, safe_prefix="SAFE_")
1632
1633        def bracket_sql(self, expression: exp.Bracket) -> str:
1634            this = expression.this
1635            expressions = expression.expressions
1636
1637            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
1638                arg = expressions[0]
1639                if arg.type is None:
1640                    from sqlglot.optimizer.annotate_types import annotate_types
1641
1642                    arg = annotate_types(arg, dialect=self.dialect)
1643
1644                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
1645                    # BQ doesn't support bracket syntax with string values for structs
1646                    return f"{self.sql(this)}.{arg.name}"
1647
1648            expressions_sql = self.expressions(expression, flat=True)
1649            offset = expression.args.get("offset")
1650
1651            if offset == 0:
1652                expressions_sql = f"OFFSET({expressions_sql})"
1653            elif offset == 1:
1654                expressions_sql = f"ORDINAL({expressions_sql})"
1655            elif offset is not None:
1656                self.unsupported(f"Unsupported array offset: {offset}")
1657
1658            if expression.args.get("safe"):
1659                expressions_sql = f"SAFE_{expressions_sql}"
1660
1661            return f"{self.sql(this)}[{expressions_sql}]"
1662
1663        def in_unnest_op(self, expression: exp.Unnest) -> str:
1664            return self.sql(expression)
1665
1666        def version_sql(self, expression: exp.Version) -> str:
1667            if expression.name == "TIMESTAMP":
1668                expression.set("this", "SYSTEM_TIME")
1669            return super().version_sql(expression)
1670
1671        def contains_sql(self, expression: exp.Contains) -> str:
1672            this = expression.this
1673            expr = expression.expression
1674
1675            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
1676                this = this.this
1677                expr = expr.this
1678
1679            return self.func("CONTAINS_SUBSTR", this, expr, expression.args.get("json_scope"))
1680
1681        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
1682            this = expression.this
1683
1684            # This ensures that inline type-annotated ARRAY literals like ARRAY<INT64>[1, 2, 3]
1685            # are roundtripped unaffected. The inner check excludes ARRAY(SELECT ...) expressions,
1686            # because they aren't literals and so the above syntax is invalid BigQuery.
1687            if isinstance(this, exp.Array):
1688                elem = seq_get(this.expressions, 0)
1689                if not (elem and elem.find(exp.Query)):
1690                    return f"{self.sql(expression, 'to')}{self.sql(this)}"
1691
1692            return super().cast_sql(expression, safe_prefix=safe_prefix)
1693
1694        def declareitem_sql(self, expression: exp.DeclareItem) -> str:
1695            variables = self.expressions(expression, "this")
1696            default = self.sql(expression, "default")
1697            default = f" DEFAULT {default}" if default else ""
1698            kind = self.sql(expression, "kind")
1699            kind = f" {kind}" if kind else ""
1700
1701            return f"{variables}{kind}{default}"
WEEK_OFFSET = -1

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

UNNEST_COLUMN_ONLY = True

Whether UNNEST table aliases are treated as column aliases.

SUPPORTS_USER_DEFINED_TYPES = False

Whether user-defined data types are supported.

SUPPORTS_SEMI_ANTI_JOIN = False

Whether SEMI or ANTI joins are supported.

LOG_BASE_FIRST: Optional[bool] = False

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

HEX_LOWERCASE = True

Whether the HEX function returns a lowercase hexadecimal string.

FORCE_EARLY_ALIAS_REF_EXPANSION = True

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

For example:

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

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

PRESERVE_ORIGINAL_NAMES: bool = True

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

HEX_STRING_IS_INTEGER_TYPE: bool = True

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

NORMALIZATION_STRATEGY = <NormalizationStrategy.CASE_INSENSITIVE: 'CASE_INSENSITIVE'>

Specifies the strategy according to which identifiers should be normalized.

NORMALIZE_FUNCTIONS: bool | str = False

Determines how function names are going to be normalized.

Possible values:

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

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

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

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

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

PSEUDOCOLUMNS: Set[str] = {'_PARTITIONTIME', '_FILE_NAME', '_TABLE_SUFFIX', '_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.

COERCES_TO: Dict[sqlglot.expressions.DataType.Type, Set[sqlglot.expressions.DataType.Type]] = {<Type.TEXT: 'TEXT'>: set(), <Type.NVARCHAR: 'NVARCHAR'>: {<Type.TEXT: 'TEXT'>}, <Type.VARCHAR: 'VARCHAR'>: {<Type.NVARCHAR: 'NVARCHAR'>, <Type.TEXT: 'TEXT'>}, <Type.NCHAR: 'NCHAR'>: {<Type.NVARCHAR: 'NVARCHAR'>, <Type.TEXT: 'TEXT'>, <Type.VARCHAR: 'VARCHAR'>}, <Type.CHAR: 'CHAR'>: {<Type.NCHAR: 'NCHAR'>, <Type.NVARCHAR: 'NVARCHAR'>, <Type.TEXT: 'TEXT'>, <Type.VARCHAR: 'VARCHAR'>}, <Type.DOUBLE: 'DOUBLE'>: set(), <Type.FLOAT: 'FLOAT'>: {<Type.DOUBLE: 'DOUBLE'>}, <Type.DECIMAL: 'DECIMAL'>: {<Type.BIGDECIMAL: 'BIGDECIMAL'>, <Type.DOUBLE: 'DOUBLE'>, <Type.FLOAT: 'FLOAT'>}, <Type.BIGINT: 'BIGINT'>: {<Type.BIGDECIMAL: 'BIGDECIMAL'>, <Type.DOUBLE: 'DOUBLE'>, <Type.DECIMAL: 'DECIMAL'>, <Type.FLOAT: 'FLOAT'>}, <Type.INT: 'INT'>: {<Type.BIGINT: 'BIGINT'>, <Type.DOUBLE: 'DOUBLE'>, <Type.DECIMAL: 'DECIMAL'>, <Type.FLOAT: 'FLOAT'>}, <Type.SMALLINT: 'SMALLINT'>: {<Type.INT: 'INT'>, <Type.FLOAT: 'FLOAT'>, <Type.BIGINT: 'BIGINT'>, <Type.DOUBLE: 'DOUBLE'>, <Type.DECIMAL: 'DECIMAL'>}, <Type.TINYINT: 'TINYINT'>: {<Type.INT: 'INT'>, <Type.FLOAT: 'FLOAT'>, <Type.SMALLINT: 'SMALLINT'>, <Type.BIGINT: 'BIGINT'>, <Type.DOUBLE: 'DOUBLE'>, <Type.DECIMAL: 'DECIMAL'>}, <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>: set(), <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>}, <Type.TIMESTAMP: 'TIMESTAMP'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>}, <Type.DATETIME: 'DATETIME'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <Type.TIMESTAMP: 'TIMESTAMP'>}, <Type.DATE: 'DATE'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <Type.TIMESTAMP: 'TIMESTAMP'>, <Type.DATETIME: 'DATETIME'>}, <Type.NULL: 'NULL'>: {<Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <Type.VARCHAR: 'VARCHAR'>, <Type.INT: 'INT'>, <Type.FLOAT: 'FLOAT'>, <Type.DATETIME: 'DATETIME'>, <Type.NVARCHAR: 'NVARCHAR'>, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <Type.DOUBLE: 'DOUBLE'>, <Type.NCHAR: 'NCHAR'>, <Type.TINYINT: 'TINYINT'>, <Type.TEXT: 'TEXT'>, <Type.TIMESTAMP: 'TIMESTAMP'>, <Type.DATE: 'DATE'>, <Type.CHAR: 'CHAR'>, <Type.SMALLINT: 'SMALLINT'>, <Type.BIGINT: 'BIGINT'>, <Type.DECIMAL: 'DECIMAL'>}, <Type.BIGDECIMAL: 'BIGDECIMAL'>: {<Type.DOUBLE: 'DOUBLE'>}}
TYPE_TO_EXPRESSIONS: Dict[sqlglot.expressions.DataType.Type, Set[Type[sqlglot.expressions.Expression]]] = {<Type.BIGINT: 'BIGINT'>: {<class 'sqlglot.expressions.Length'>, <class 'sqlglot.expressions.CountIf'>, <class 'sqlglot.expressions.UnixDate'>, <class 'sqlglot.expressions.UnixMillis'>, <class 'sqlglot.expressions.ApproxDistinct'>, <class 'sqlglot.expressions.UnixMicros'>, <class 'sqlglot.expressions.ArraySize'>, <class 'sqlglot.expressions.UnixSeconds'>, <class 'sqlglot.expressions.Int64'>}, <Type.BINARY: 'BINARY'>: {<class 'sqlglot.expressions.FromBase64'>, <class 'sqlglot.expressions.FromBase32'>}, <Type.BOOLEAN: 'BOOLEAN'>: {<class 'sqlglot.expressions.LogicalAnd'>, <class 'sqlglot.expressions.In'>, <class 'sqlglot.expressions.Contains'>, <class 'sqlglot.expressions.LogicalOr'>, <class 'sqlglot.expressions.EndsWith'>, <class 'sqlglot.expressions.StartsWith'>, <class 'sqlglot.expressions.Between'>, <class 'sqlglot.expressions.Boolean'>, <class 'sqlglot.expressions.RegexpLike'>}, <Type.DATE: 'DATE'>: {<class 'sqlglot.expressions.TsOrDsToDate'>, <class 'sqlglot.expressions.TimeStrToDate'>, <class 'sqlglot.expressions.DateStrToDate'>, <class 'sqlglot.expressions.DiToDate'>, <class 'sqlglot.expressions.StrToDate'>, <class 'sqlglot.expressions.DateFromParts'>, <class 'sqlglot.expressions.LastDay'>, <class 'sqlglot.expressions.CurrentDate'>, <class 'sqlglot.expressions.Date'>}, <Type.DATETIME: 'DATETIME'>: {<class 'sqlglot.expressions.CurrentDatetime'>, <class 'sqlglot.expressions.Datetime'>, <class 'sqlglot.expressions.DatetimeSub'>, <class 'sqlglot.expressions.DatetimeAdd'>}, <Type.DOUBLE: 'DOUBLE'>: {<class 'sqlglot.expressions.ToDouble'>, <class 'sqlglot.expressions.Exp'>, <class 'sqlglot.expressions.Stddev'>, <class 'sqlglot.expressions.Round'>, <class 'sqlglot.expressions.VariancePop'>, <class 'sqlglot.expressions.ApproxQuantile'>, <class 'sqlglot.expressions.Variance'>, <class 'sqlglot.expressions.Quantile'>, <class 'sqlglot.expressions.Log'>, <class 'sqlglot.expressions.Pow'>, <class 'sqlglot.expressions.StddevSamp'>, <class 'sqlglot.expressions.StddevPop'>, <class 'sqlglot.expressions.Ln'>, <class 'sqlglot.expressions.SafeDivide'>, <class 'sqlglot.expressions.Avg'>, <class 'sqlglot.expressions.Sqrt'>}, <Type.INT: 'INT'>: {<class 'sqlglot.expressions.DateToDi'>, <class 'sqlglot.expressions.TimestampDiff'>, <class 'sqlglot.expressions.Unicode'>, <class 'sqlglot.expressions.StrPosition'>, <class 'sqlglot.expressions.Ceil'>, <class 'sqlglot.expressions.DateDiff'>, <class 'sqlglot.expressions.TsOrDiToDi'>, <class 'sqlglot.expressions.Sign'>, <class 'sqlglot.expressions.TimeDiff'>, <class 'sqlglot.expressions.Levenshtein'>, <class 'sqlglot.expressions.Ascii'>, <class 'sqlglot.expressions.DatetimeDiff'>}, <Type.INTERVAL: 'INTERVAL'>: {<class 'sqlglot.expressions.JustifyInterval'>, <class 'sqlglot.expressions.Interval'>, <class 'sqlglot.expressions.JustifyHours'>, <class 'sqlglot.expressions.JustifyDays'>, <class 'sqlglot.expressions.MakeInterval'>}, <Type.JSON: 'JSON'>: {<class 'sqlglot.expressions.ParseJSON'>}, <Type.TIME: 'TIME'>: {<class 'sqlglot.expressions.TimeSub'>, <class 'sqlglot.expressions.TimeAdd'>, <class 'sqlglot.expressions.CurrentTime'>, <class 'sqlglot.expressions.Time'>}, <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>: {<class 'sqlglot.expressions.StrToTime'>, <class 'sqlglot.expressions.CurrentTimestamp'>, <class 'sqlglot.expressions.TimestampSub'>, <class 'sqlglot.expressions.TimestampAdd'>, <class 'sqlglot.expressions.UnixToTime'>, <class 'sqlglot.expressions.TimeStrToTime'>}, <Type.TINYINT: 'TINYINT'>: {<class 'sqlglot.expressions.Year'>, <class 'sqlglot.expressions.Month'>, <class 'sqlglot.expressions.Quarter'>, <class 'sqlglot.expressions.Day'>, <class 'sqlglot.expressions.Week'>}, <Type.VARCHAR: 'VARCHAR'>: {<class 'sqlglot.expressions.TsOrDsToDateStr'>, <class 'sqlglot.expressions.DPipe'>, <class 'sqlglot.expressions.ConcatWs'>, <class 'sqlglot.expressions.ToBase32'>, <class 'sqlglot.expressions.String'>, <class 'sqlglot.expressions.UnixToStr'>, <class 'sqlglot.expressions.TimeToTimeStr'>, <class 'sqlglot.expressions.ArrayToString'>, <class 'sqlglot.expressions.Chr'>, <class 'sqlglot.expressions.Substring'>, <class 'sqlglot.expressions.Lower'>, <class 'sqlglot.expressions.GroupConcat'>, <class 'sqlglot.expressions.ArrayConcat'>, <class 'sqlglot.expressions.Trim'>, <class 'sqlglot.expressions.ToBase64'>, <class 'sqlglot.expressions.Upper'>, <class 'sqlglot.expressions.Initcap'>, <class 'sqlglot.expressions.Concat'>, <class 'sqlglot.expressions.DateToDateStr'>, <class 'sqlglot.expressions.TimeToStr'>, <class 'sqlglot.expressions.UnixToTimeStr'>}}
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 BigQuery.<lambda>>, <class 'sqlglot.expressions.CovarPop'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.CovarSamp'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.DPipe'>: <function annotate_with_type_lambda.<locals>.<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.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.JSONBContainsAllTopKeys'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONBContainsAnyTopKeys'>: <function Dialect.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONBDeleteAtPath'>: <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 BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.JSONExtractScalar'>: <function BigQuery.<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.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.Length'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CountIf'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixMillis'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ApproxDistinct'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixMicros'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ArraySize'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixSeconds'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Int64'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.FromBase64'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.FromBase32'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.LogicalAnd'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.In'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Contains'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.LogicalOr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.EndsWith'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StartsWith'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Between'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Boolean'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateStrToDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DiToDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrToDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DateFromParts'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.LastDay'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDate'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Date'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDatetime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Datetime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeSub'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.DatetimeAdd'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ToDouble'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Exp'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Stddev'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Round'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.VariancePop'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ApproxQuantile'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Variance'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Quantile'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Log'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.StddevSamp'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StddevPop'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ln'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.SafeDivide'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Avg'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Sqrt'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.DateToDi'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampDiff'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Unicode'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.StrPosition'>: <function annotate_with_type_lambda.<locals>.<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.Sign'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.TimeDiff'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Levenshtein'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Ascii'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.DatetimeDiff'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.JustifyInterval'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Interval'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.JustifyHours'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.JustifyDays'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.MakeInterval'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ParseJSON'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeSub'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeAdd'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Time'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentTimestampLTZ'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.StrToTime'>: <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.TimestampAdd'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToTime'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Year'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Month'>: <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.Week'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDateStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ConcatWs'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ToBase32'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.String'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeToTimeStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.ArrayToString'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Chr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Substring'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Lower'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.GroupConcat'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ArrayConcat'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Trim'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ToBase64'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Upper'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Initcap'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Concat'>: <function _annotate_concat>, <class 'sqlglot.expressions.DateToDateStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeToStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTimeStr'>: <function annotate_with_type_lambda.<locals>.<lambda>>, <class 'sqlglot.expressions.Abs'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Anonymous'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Array'>: <function _annotate_array>, <class 'sqlglot.expressions.AnyValue'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.ArrayAgg'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.ArrayConcatAgg'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.ArrayFirst'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.ArrayLast'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.ArrayReverse'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.ArraySlice'>: <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 BigQuery.<dictcomp>.<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.GenerateSeries'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.GenerateDateArray'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.GenerateTimestampArray'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Greatest'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.If'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Least'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Literal'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.LastValue'>: <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.SortArray'>: <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.Window'>: <function Dialect.<lambda>>, <class 'sqlglot.expressions.Floor'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ArgMax'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.ArgMin'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.DatetimeTrunc'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.FirstValue'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.IgnoreNulls'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Lead'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Left'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.NthValue'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Pad'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.PercentileDisc'>: <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.Replace'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.RespectNulls'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Reverse'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Right'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.SafeNegate'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.TimestampTrunc'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Translate'>: <function BigQuery.<dictcomp>.<lambda>>, <class 'sqlglot.expressions.Acos'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Acosh'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Asin'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Asinh'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Atan'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Atanh'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Atan2'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.ApproxTopSum'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.ApproxTopK'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.ApproxQuantiles'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.BitwiseAndAgg'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.BitwiseOrAgg'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.BitwiseXorAgg'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.BitwiseCountAgg'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.ByteLength'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.ByteString'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Cbrt'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.CodePointsToBytes'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.CodePointsToString'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Cot'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.CosineDistance'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Coth'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Csc'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Csch'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.CumeDist'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.DateFromUnixDate'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.DenseRank'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.EuclideanDistance'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.FarmFingerprint'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Unhex'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Float64'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Format'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Grouping'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.IsInf'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.IsNan'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONArray'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONArrayAppend'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONArrayInsert'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONBool'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONExtractArray'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONFormat'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONKeysAtDepth'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONObject'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONRemove'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONSet'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONStripNulls'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONType'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.JSONValueArray'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Lag'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.LowerHex'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.LaxBool'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.LaxFloat64'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.LaxInt64'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.LaxString'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.MD5Digest'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Normalize'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Ntile'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.ParseTime'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.ParseDatetime'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.ParseBignumeric'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.ParseNumeric'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.PercentileCont'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.PercentRank'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Rank'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.RangeBucket'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.RegexpExtractAll'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.RegexpInstr'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.RowNumber'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Rand'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.SafeConvertBytesToString'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.SafeAdd'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.SafeMultiply'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.SafeSubtract'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Sec'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Sech'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Soundex'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.SHA'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.SHA2'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Sin'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Sinh'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Split'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.TimestampFromParts'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.TimeFromParts'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.TimeTrunc'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.ToCodePoints'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.TsOrDsToTime'>: <function BigQuery.<lambda>>, <class 'sqlglot.expressions.Uuid'>: <function BigQuery.<lambda>>}
def normalize_identifier(self, expression: ~E) -> ~E:
672    def normalize_identifier(self, expression: E) -> E:
673        if (
674            isinstance(expression, exp.Identifier)
675            and self.normalization_strategy is NormalizationStrategy.CASE_INSENSITIVE
676        ):
677            parent = expression.parent
678            while isinstance(parent, exp.Dot):
679                parent = parent.parent
680
681            # In BigQuery, CTEs are case-insensitive, but UDF and table names are case-sensitive
682            # by default. The following check uses a heuristic to detect tables based on whether
683            # they are qualified. This should generally be correct, because tables in BigQuery
684            # must be qualified with at least a dataset, unless @@dataset_id is set.
685            case_sensitive = (
686                isinstance(parent, exp.UserDefinedFunction)
687                or (
688                    isinstance(parent, exp.Table)
689                    and parent.db
690                    and (parent.meta.get("quoted_table") or not parent.meta.get("maybe_column"))
691                )
692                or expression.meta.get("is_table")
693            )
694            if not case_sensitive:
695                expression.set("this", expression.this.lower())
696
697            return t.cast(E, expression)
698
699        return super().normalize_identifier(expression)

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

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

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

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

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

SUPPORTS_COLUMN_JOIN_MARKS = False

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

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

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

tokenizer_class = <class 'BigQuery.Tokenizer'>
jsonpath_tokenizer_class = <class 'BigQuery.JSONPathTokenizer'>
parser_class = <class 'BigQuery.Parser'>
generator_class = <class 'BigQuery.Generator'>
TIME_TRIE: Dict = {'%': {'D': {0: True}, 'E': {'6': {'S': {0: True}}}, 'e': {0: True}}}
FORMAT_TRIE: Dict = {'D': {'D': {0: True}}, 'M': {'M': {0: True}, 'O': {'N': {0: True, 'T': {'H': {0: True}}}}, 'I': {0: True}}, 'Y': {'Y': {'Y': {'Y': {0: True}}, 0: True}}, 'H': {'H': {0: True, '1': {'2': {0: True}}, '2': {'4': {0: True}}}}, 'S': {'S': {0: True, 'S': {'S': {'S': {0: True}}}}}, 'T': {'Z': {'H': {0: True}}}}
INVERSE_TIME_MAPPING: Dict[str, str] = {'%m/%d/%y': '%D', '%S.%f': '%E6S', '%-d': '%e'}
INVERSE_TIME_TRIE: Dict = {'%': {'m': {'/': {'%': {'d': {'/': {'%': {'y': {0: True}}}}}}}, 'S': {'.': {'%': {'f': {0: True}}}}, '-': {'d': {0: True}}}}
INVERSE_FORMAT_MAPPING: Dict[str, str] = {'%d': 'DD', '%m': 'MM', '%b': 'MON', '%B': 'MONTH', '%Y': 'YYYY', '%y': 'YY', '%I': 'HH12', '%H': 'HH24', '%M': 'MI', '%S': 'SS', '%f': 'SSSSS', '%z': 'TZH'}
INVERSE_FORMAT_TRIE: Dict = {'%': {'d': {0: True}, 'm': {0: True}, 'b': {0: True}, 'B': {0: True}, 'Y': {0: True}, 'y': {0: True}, 'I': {0: True}, 'H': {0: True}, 'M': {0: True}, 'S': {0: True}, 'f': {0: True}, 'z': {0: True}}}
INVERSE_CREATABLE_KIND_MAPPING: dict[str, str] = {}
ESCAPED_SEQUENCES: Dict[str, str] = {'\x07': '\\a', '\x08': '\\b', '\x0c': '\\f', '\n': '\\n', '\r': '\\r', '\t': '\\t', '\x0b': '\\v', '\\': '\\\\'}
QUOTE_START = "'"
QUOTE_END = "'"
IDENTIFIER_START = '`'
IDENTIFIER_END = '`'
BIT_START: Optional[str] = None
BIT_END: Optional[str] = None
HEX_START: Optional[str] = '0x'
HEX_END: Optional[str] = ''
BYTE_START: Optional[str] = "b'"
BYTE_END: Optional[str] = "'"
UNICODE_START: Optional[str] = None
UNICODE_END: Optional[str] = None
class BigQuery.JSONPathTokenizer(sqlglot.jsonpath.JSONPathTokenizer):
701    class JSONPathTokenizer(jsonpath.JSONPathTokenizer):
702        VAR_TOKENS = {
703            TokenType.DASH,
704            TokenType.VAR,
705        }
VAR_TOKENS = {<TokenType.VAR: 'VAR'>, <TokenType.DASH: 'DASH'>}
class BigQuery.Tokenizer(sqlglot.tokens.Tokenizer):
707    class Tokenizer(tokens.Tokenizer):
708        QUOTES = ["'", '"', '"""', "'''"]
709        COMMENTS = ["--", "#", ("/*", "*/")]
710        IDENTIFIERS = ["`"]
711        STRING_ESCAPES = ["\\"]
712
713        HEX_STRINGS = [("0x", ""), ("0X", "")]
714
715        BYTE_STRINGS = [
716            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("b", "B")
717        ]
718
719        RAW_STRINGS = [
720            (prefix + q, q) for q in t.cast(t.List[str], QUOTES) for prefix in ("r", "R")
721        ]
722
723        NESTED_COMMENTS = False
724
725        KEYWORDS = {
726            **tokens.Tokenizer.KEYWORDS,
727            "ANY TYPE": TokenType.VARIANT,
728            "BEGIN": TokenType.COMMAND,
729            "BEGIN TRANSACTION": TokenType.BEGIN,
730            "BYTEINT": TokenType.INT,
731            "BYTES": TokenType.BINARY,
732            "CURRENT_DATETIME": TokenType.CURRENT_DATETIME,
733            "DATETIME": TokenType.TIMESTAMP,
734            "DECLARE": TokenType.DECLARE,
735            "ELSEIF": TokenType.COMMAND,
736            "EXCEPTION": TokenType.COMMAND,
737            "EXPORT": TokenType.EXPORT,
738            "FLOAT64": TokenType.DOUBLE,
739            "FOR SYSTEM_TIME": TokenType.TIMESTAMP_SNAPSHOT,
740            "LOOP": TokenType.COMMAND,
741            "MODEL": TokenType.MODEL,
742            "NOT DETERMINISTIC": TokenType.VOLATILE,
743            "RECORD": TokenType.STRUCT,
744            "REPEAT": TokenType.COMMAND,
745            "TIMESTAMP": TokenType.TIMESTAMPTZ,
746            "WHILE": TokenType.COMMAND,
747        }
748        KEYWORDS.pop("DIV")
749        KEYWORDS.pop("VALUES")
750        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'''", "'''")]
NESTED_COMMENTS = False
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.PIPE_GT: 'PIPE_GT'>, '>=': <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'>, 'AND': <TokenType.AND: 'AND'>, 'ANTI': <TokenType.ANTI: 'ANTI'>, 'ANY': <TokenType.ANY: 'ANY'>, 'ASC': <TokenType.ASC: 'ASC'>, 'AS': <TokenType.ALIAS: 'ALIAS'>, 'ASOF': <TokenType.ASOF: 'ASOF'>, 'AUTOINCREMENT': <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, 'AUTO_INCREMENT': <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, 'BEGIN': <TokenType.COMMAND: 'COMMAND'>, 'BETWEEN': <TokenType.BETWEEN: 'BETWEEN'>, 'CACHE': <TokenType.CACHE: 'CACHE'>, 'UNCACHE': <TokenType.UNCACHE: 'UNCACHE'>, 'CASE': <TokenType.CASE: 'CASE'>, 'CHARACTER SET': <TokenType.CHARACTER_SET: 'CHARACTER_SET'>, 'CLUSTER BY': <TokenType.CLUSTER_BY: 'CLUSTER_BY'>, 'COLLATE': <TokenType.COLLATE: 'COLLATE'>, 'COLUMN': <TokenType.COLUMN: 'COLUMN'>, 'COMMIT': <TokenType.COMMIT: 'COMMIT'>, 'CONNECT BY': <TokenType.CONNECT_BY: 'CONNECT_BY'>, 'CONSTRAINT': <TokenType.CONSTRAINT: 'CONSTRAINT'>, 'COPY': <TokenType.COPY: 'COPY'>, 'CREATE': <TokenType.CREATE: 'CREATE'>, 'CROSS': <TokenType.CROSS: 'CROSS'>, 'CUBE': <TokenType.CUBE: 'CUBE'>, 'CURRENT_DATE': <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, 'CURRENT_SCHEMA': <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, 'CURRENT_TIME': <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, 'CURRENT_TIMESTAMP': <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, 'CURRENT_USER': <TokenType.CURRENT_USER: 'CURRENT_USER'>, 'DATABASE': <TokenType.DATABASE: 'DATABASE'>, 'DEFAULT': <TokenType.DEFAULT: 'DEFAULT'>, 'DELETE': <TokenType.DELETE: 'DELETE'>, 'DESC': <TokenType.DESC: 'DESC'>, 'DESCRIBE': <TokenType.DESCRIBE: 'DESCRIBE'>, 'DISTINCT': <TokenType.DISTINCT: 'DISTINCT'>, 'DISTRIBUTE BY': <TokenType.DISTRIBUTE_BY: 'DISTRIBUTE_BY'>, 'DROP': <TokenType.DROP: 'DROP'>, 'ELSE': <TokenType.ELSE: 'ELSE'>, 'END': <TokenType.END: 'END'>, 'ENUM': <TokenType.ENUM: 'ENUM'>, 'ESCAPE': <TokenType.ESCAPE: 'ESCAPE'>, 'EXCEPT': <TokenType.EXCEPT: 'EXCEPT'>, 'EXECUTE': <TokenType.EXECUTE: 'EXECUTE'>, 'EXISTS': <TokenType.EXISTS: 'EXISTS'>, 'FALSE': <TokenType.FALSE: 'FALSE'>, 'FETCH': <TokenType.FETCH: 'FETCH'>, 'FILTER': <TokenType.FILTER: 'FILTER'>, 'FIRST': <TokenType.FIRST: 'FIRST'>, 'FULL': <TokenType.FULL: 'FULL'>, 'FUNCTION': <TokenType.FUNCTION: 'FUNCTION'>, 'FOR': <TokenType.FOR: 'FOR'>, 'FOREIGN KEY': <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, 'FORMAT': <TokenType.FORMAT: 'FORMAT'>, 'FROM': <TokenType.FROM: 'FROM'>, 'GEOGRAPHY': <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, 'GEOMETRY': <TokenType.GEOMETRY: 'GEOMETRY'>, 'GLOB': <TokenType.GLOB: 'GLOB'>, 'GROUP BY': <TokenType.GROUP_BY: 'GROUP_BY'>, 'GROUPING SETS': <TokenType.GROUPING_SETS: 'GROUPING_SETS'>, 'HAVING': <TokenType.HAVING: 'HAVING'>, 'ILIKE': <TokenType.ILIKE: 'ILIKE'>, 'IN': <TokenType.IN: 'IN'>, 'INDEX': <TokenType.INDEX: 'INDEX'>, 'INET': <TokenType.INET: 'INET'>, 'INNER': <TokenType.INNER: 'INNER'>, 'INSERT': <TokenType.INSERT: 'INSERT'>, 'INTERVAL': <TokenType.INTERVAL: 'INTERVAL'>, 'INTERSECT': <TokenType.INTERSECT: 'INTERSECT'>, 'INTO': <TokenType.INTO: 'INTO'>, 'IS': <TokenType.IS: 'IS'>, 'ISNULL': <TokenType.ISNULL: 'ISNULL'>, 'JOIN': <TokenType.JOIN: 'JOIN'>, 'KEEP': <TokenType.KEEP: 'KEEP'>, 'KILL': <TokenType.KILL: 'KILL'>, 'LATERAL': <TokenType.LATERAL: 'LATERAL'>, 'LEFT': <TokenType.LEFT: 'LEFT'>, 'LIKE': <TokenType.LIKE: 'LIKE'>, 'LIMIT': <TokenType.LIMIT: 'LIMIT'>, 'LOAD': <TokenType.LOAD: 'LOAD'>, 'LOCK': <TokenType.LOCK: 'LOCK'>, 'MERGE': <TokenType.MERGE: 'MERGE'>, 'NAMESPACE': <TokenType.NAMESPACE: 'NAMESPACE'>, 'NATURAL': <TokenType.NATURAL: 'NATURAL'>, 'NEXT': <TokenType.NEXT: 'NEXT'>, 'NOT': <TokenType.NOT: 'NOT'>, 'NOTNULL': <TokenType.NOTNULL: 'NOTNULL'>, 'NULL': <TokenType.NULL: 'NULL'>, 'OBJECT': <TokenType.OBJECT: 'OBJECT'>, 'OFFSET': <TokenType.OFFSET: 'OFFSET'>, 'ON': <TokenType.ON: 'ON'>, 'OR': <TokenType.OR: 'OR'>, 'XOR': <TokenType.XOR: 'XOR'>, 'ORDER BY': <TokenType.ORDER_BY: 'ORDER_BY'>, 'ORDINALITY': <TokenType.ORDINALITY: 'ORDINALITY'>, 'OUTER': <TokenType.OUTER: 'OUTER'>, 'OVER': <TokenType.OVER: 'OVER'>, 'OVERLAPS': <TokenType.OVERLAPS: 'OVERLAPS'>, 'OVERWRITE': <TokenType.OVERWRITE: 'OVERWRITE'>, 'PARTITION': <TokenType.PARTITION: 'PARTITION'>, 'PARTITION BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PARTITIONED BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PARTITIONED_BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PERCENT': <TokenType.PERCENT: 'PERCENT'>, 'PIVOT': <TokenType.PIVOT: 'PIVOT'>, 'PRAGMA': <TokenType.PRAGMA: 'PRAGMA'>, 'PRIMARY KEY': <TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>, 'PROCEDURE': <TokenType.PROCEDURE: 'PROCEDURE'>, 'QUALIFY': <TokenType.QUALIFY: 'QUALIFY'>, 'RANGE': <TokenType.RANGE: 'RANGE'>, 'RECURSIVE': <TokenType.RECURSIVE: 'RECURSIVE'>, 'REGEXP': <TokenType.RLIKE: 'RLIKE'>, 'RENAME': <TokenType.RENAME: 'RENAME'>, 'REPLACE': <TokenType.REPLACE: 'REPLACE'>, 'RETURNING': <TokenType.RETURNING: 'RETURNING'>, 'REFERENCES': <TokenType.REFERENCES: 'REFERENCES'>, 'RIGHT': <TokenType.RIGHT: 'RIGHT'>, 'RLIKE': <TokenType.RLIKE: 'RLIKE'>, 'ROLLBACK': <TokenType.ROLLBACK: 'ROLLBACK'>, 'ROLLUP': <TokenType.ROLLUP: 'ROLLUP'>, 'ROW': <TokenType.ROW: 'ROW'>, 'ROWS': <TokenType.ROWS: 'ROWS'>, 'SCHEMA': <TokenType.SCHEMA: 'SCHEMA'>, 'SELECT': <TokenType.SELECT: 'SELECT'>, 'SEMI': <TokenType.SEMI: 'SEMI'>, 'SESSION': <TokenType.SESSION: 'SESSION'>, 'SET': <TokenType.SET: 'SET'>, 'SETTINGS': <TokenType.SETTINGS: 'SETTINGS'>, 'SHOW': <TokenType.SHOW: 'SHOW'>, 'SIMILAR TO': <TokenType.SIMILAR_TO: 'SIMILAR_TO'>, 'SOME': <TokenType.SOME: 'SOME'>, 'SORT BY': <TokenType.SORT_BY: 'SORT_BY'>, 'START WITH': <TokenType.START_WITH: 'START_WITH'>, 'STRAIGHT_JOIN': <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, 'TABLE': <TokenType.TABLE: 'TABLE'>, 'TABLESAMPLE': <TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>, 'TEMP': <TokenType.TEMPORARY: 'TEMPORARY'>, 'TEMPORARY': <TokenType.TEMPORARY: 'TEMPORARY'>, 'THEN': <TokenType.THEN: 'THEN'>, 'TRUE': <TokenType.TRUE: 'TRUE'>, 'TRUNCATE': <TokenType.TRUNCATE: 'TRUNCATE'>, 'UNION': <TokenType.UNION: 'UNION'>, 'UNKNOWN': <TokenType.UNKNOWN: 'UNKNOWN'>, 'UNNEST': <TokenType.UNNEST: 'UNNEST'>, 'UNPIVOT': <TokenType.UNPIVOT: 'UNPIVOT'>, 'UPDATE': <TokenType.UPDATE: 'UPDATE'>, 'USE': <TokenType.USE: 'USE'>, 'USING': <TokenType.USING: 'USING'>, 'UUID': <TokenType.UUID: 'UUID'>, 'VIEW': <TokenType.VIEW: 'VIEW'>, 'VOLATILE': <TokenType.VOLATILE: 'VOLATILE'>, 'WHEN': <TokenType.WHEN: 'WHEN'>, 'WHERE': <TokenType.WHERE: 'WHERE'>, 'WINDOW': <TokenType.WINDOW: 'WINDOW'>, 'WITH': <TokenType.WITH: 'WITH'>, 'APPLY': <TokenType.APPLY: 'APPLY'>, 'ARRAY': <TokenType.ARRAY: 'ARRAY'>, 'BIT': <TokenType.BIT: 'BIT'>, 'BOOL': <TokenType.BOOLEAN: 'BOOLEAN'>, 'BOOLEAN': <TokenType.BOOLEAN: 'BOOLEAN'>, 'BYTE': <TokenType.TINYINT: 'TINYINT'>, 'MEDIUMINT': <TokenType.MEDIUMINT: 'MEDIUMINT'>, 'INT1': <TokenType.TINYINT: 'TINYINT'>, 'TINYINT': <TokenType.TINYINT: 'TINYINT'>, 'INT16': <TokenType.SMALLINT: 'SMALLINT'>, 'SHORT': <TokenType.SMALLINT: 'SMALLINT'>, 'SMALLINT': <TokenType.SMALLINT: 'SMALLINT'>, 'HUGEINT': <TokenType.INT128: 'INT128'>, 'UHUGEINT': <TokenType.UINT128: 'UINT128'>, 'INT2': <TokenType.SMALLINT: 'SMALLINT'>, 'INTEGER': <TokenType.INT: 'INT'>, 'INT': <TokenType.INT: 'INT'>, 'INT4': <TokenType.INT: 'INT'>, 'INT32': <TokenType.INT: 'INT'>, 'INT64': <TokenType.BIGINT: 'BIGINT'>, 'INT128': <TokenType.INT128: 'INT128'>, 'INT256': <TokenType.INT256: 'INT256'>, 'LONG': <TokenType.BIGINT: 'BIGINT'>, 'BIGINT': <TokenType.BIGINT: 'BIGINT'>, 'INT8': <TokenType.TINYINT: 'TINYINT'>, 'UINT': <TokenType.UINT: 'UINT'>, 'UINT128': <TokenType.UINT128: 'UINT128'>, 'UINT256': <TokenType.UINT256: 'UINT256'>, 'DEC': <TokenType.DECIMAL: 'DECIMAL'>, 'DECIMAL': <TokenType.DECIMAL: 'DECIMAL'>, 'DECIMAL32': <TokenType.DECIMAL32: 'DECIMAL32'>, 'DECIMAL64': <TokenType.DECIMAL64: 'DECIMAL64'>, 'DECIMAL128': <TokenType.DECIMAL128: 'DECIMAL128'>, 'DECIMAL256': <TokenType.DECIMAL256: 'DECIMAL256'>, 'BIGDECIMAL': <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, 'BIGNUMERIC': <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, 'LIST': <TokenType.LIST: 'LIST'>, 'MAP': <TokenType.MAP: 'MAP'>, 'NULLABLE': <TokenType.NULLABLE: 'NULLABLE'>, 'NUMBER': <TokenType.DECIMAL: 'DECIMAL'>, 'NUMERIC': <TokenType.DECIMAL: 'DECIMAL'>, 'FIXED': <TokenType.DECIMAL: 'DECIMAL'>, 'REAL': <TokenType.FLOAT: 'FLOAT'>, 'FLOAT': <TokenType.FLOAT: 'FLOAT'>, 'FLOAT4': <TokenType.FLOAT: 'FLOAT'>, 'FLOAT8': <TokenType.DOUBLE: 'DOUBLE'>, 'DOUBLE': <TokenType.DOUBLE: 'DOUBLE'>, 'DOUBLE PRECISION': <TokenType.DOUBLE: 'DOUBLE'>, 'JSON': <TokenType.JSON: 'JSON'>, 'JSONB': <TokenType.JSONB: 'JSONB'>, 'CHAR': <TokenType.CHAR: 'CHAR'>, 'CHARACTER': <TokenType.CHAR: 'CHAR'>, 'CHAR VARYING': <TokenType.VARCHAR: 'VARCHAR'>, 'CHARACTER VARYING': <TokenType.VARCHAR: 'VARCHAR'>, 'NCHAR': <TokenType.NCHAR: 'NCHAR'>, 'VARCHAR': <TokenType.VARCHAR: 'VARCHAR'>, 'VARCHAR2': <TokenType.VARCHAR: 'VARCHAR'>, 'NVARCHAR': <TokenType.NVARCHAR: 'NVARCHAR'>, 'NVARCHAR2': <TokenType.NVARCHAR: 'NVARCHAR'>, 'BPCHAR': <TokenType.BPCHAR: 'BPCHAR'>, 'STR': <TokenType.TEXT: 'TEXT'>, 'STRING': <TokenType.TEXT: 'TEXT'>, 'TEXT': <TokenType.TEXT: 'TEXT'>, 'LONGTEXT': <TokenType.LONGTEXT: 'LONGTEXT'>, 'MEDIUMTEXT': <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, 'TINYTEXT': <TokenType.TINYTEXT: 'TINYTEXT'>, 'CLOB': <TokenType.TEXT: 'TEXT'>, 'LONGVARCHAR': <TokenType.TEXT: 'TEXT'>, 'BINARY': <TokenType.BINARY: 'BINARY'>, 'BLOB': <TokenType.VARBINARY: 'VARBINARY'>, 'LONGBLOB': <TokenType.LONGBLOB: 'LONGBLOB'>, 'MEDIUMBLOB': <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, 'TINYBLOB': <TokenType.TINYBLOB: 'TINYBLOB'>, 'BYTEA': <TokenType.VARBINARY: 'VARBINARY'>, 'VARBINARY': <TokenType.VARBINARY: 'VARBINARY'>, 'TIME': <TokenType.TIME: 'TIME'>, 'TIMETZ': <TokenType.TIMETZ: 'TIMETZ'>, 'TIMESTAMP': <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, 'TIMESTAMPTZ': <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, 'TIMESTAMPLTZ': <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, 'TIMESTAMP_LTZ': <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, 'TIMESTAMPNTZ': <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, 'TIMESTAMP_NTZ': <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, 'DATE': <TokenType.DATE: 'DATE'>, 'DATETIME': <TokenType.TIMESTAMP: 'TIMESTAMP'>, 'INT4RANGE': <TokenType.INT4RANGE: 'INT4RANGE'>, 'INT4MULTIRANGE': <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, 'INT8RANGE': <TokenType.INT8RANGE: 'INT8RANGE'>, 'INT8MULTIRANGE': <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, 'NUMRANGE': <TokenType.NUMRANGE: 'NUMRANGE'>, 'NUMMULTIRANGE': <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, 'TSRANGE': <TokenType.TSRANGE: 'TSRANGE'>, 'TSMULTIRANGE': <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, 'TSTZRANGE': <TokenType.TSTZRANGE: 'TSTZRANGE'>, 'TSTZMULTIRANGE': <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, 'DATERANGE': <TokenType.DATERANGE: 'DATERANGE'>, 'DATEMULTIRANGE': <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, 'UNIQUE': <TokenType.UNIQUE: 'UNIQUE'>, 'VECTOR': <TokenType.VECTOR: 'VECTOR'>, 'STRUCT': <TokenType.STRUCT: 'STRUCT'>, 'SEQUENCE': <TokenType.SEQUENCE: 'SEQUENCE'>, 'VARIANT': <TokenType.VARIANT: 'VARIANT'>, 'ALTER': <TokenType.ALTER: 'ALTER'>, 'ANALYZE': <TokenType.ANALYZE: 'ANALYZE'>, 'CALL': <TokenType.COMMAND: 'COMMAND'>, 'COMMENT': <TokenType.COMMENT: 'COMMENT'>, 'EXPLAIN': <TokenType.COMMAND: 'COMMAND'>, 'GRANT': <TokenType.GRANT: 'GRANT'>, 'REVOKE': <TokenType.REVOKE: 'REVOKE'>, '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.DECLARE: 'DECLARE'>, 'ELSEIF': <TokenType.COMMAND: 'COMMAND'>, 'EXCEPTION': <TokenType.COMMAND: 'COMMAND'>, 'EXPORT': <TokenType.EXPORT: 'EXPORT'>, 'FLOAT64': <TokenType.DOUBLE: 'DOUBLE'>, 'FOR SYSTEM_TIME': <TokenType.TIMESTAMP_SNAPSHOT: 'TIMESTAMP_SNAPSHOT'>, 'LOOP': <TokenType.COMMAND: 'COMMAND'>, 'MODEL': <TokenType.MODEL: 'MODEL'>, 'NOT DETERMINISTIC': <TokenType.VOLATILE: 'VOLATILE'>, 'RECORD': <TokenType.STRUCT: 'STRUCT'>, 'REPEAT': <TokenType.COMMAND: 'COMMAND'>, 'WHILE': <TokenType.COMMAND: 'COMMAND'>}
class BigQuery.Parser(sqlglot.parser.Parser):
 752    class Parser(parser.Parser):
 753        PREFIXED_PIVOT_COLUMNS = True
 754        LOG_DEFAULTS_TO_LN = True
 755        SUPPORTS_IMPLICIT_UNNEST = True
 756        JOINS_HAVE_EQUAL_PRECEDENCE = True
 757
 758        # BigQuery does not allow ASC/DESC to be used as an identifier
 759        ID_VAR_TOKENS = parser.Parser.ID_VAR_TOKENS - {TokenType.ASC, TokenType.DESC}
 760        ALIAS_TOKENS = parser.Parser.ALIAS_TOKENS - {TokenType.ASC, TokenType.DESC}
 761        TABLE_ALIAS_TOKENS = parser.Parser.TABLE_ALIAS_TOKENS - {TokenType.ASC, TokenType.DESC}
 762        COMMENT_TABLE_ALIAS_TOKENS = parser.Parser.COMMENT_TABLE_ALIAS_TOKENS - {
 763            TokenType.ASC,
 764            TokenType.DESC,
 765        }
 766        UPDATE_ALIAS_TOKENS = parser.Parser.UPDATE_ALIAS_TOKENS - {TokenType.ASC, TokenType.DESC}
 767
 768        FUNCTIONS = {
 769            **parser.Parser.FUNCTIONS,
 770            "APPROX_TOP_COUNT": exp.ApproxTopK.from_arg_list,
 771            "BIT_AND": exp.BitwiseAndAgg.from_arg_list,
 772            "BIT_OR": exp.BitwiseOrAgg.from_arg_list,
 773            "BIT_XOR": exp.BitwiseXorAgg.from_arg_list,
 774            "BIT_COUNT": exp.BitwiseCountAgg.from_arg_list,
 775            "BOOL": exp.JSONBool.from_arg_list,
 776            "CONTAINS_SUBSTR": _build_contains_substring,
 777            "DATE": _build_date,
 778            "DATE_ADD": build_date_delta_with_interval(exp.DateAdd),
 779            "DATE_SUB": build_date_delta_with_interval(exp.DateSub),
 780            "DATE_TRUNC": lambda args: exp.DateTrunc(
 781                unit=seq_get(args, 1),
 782                this=seq_get(args, 0),
 783                zone=seq_get(args, 2),
 784            ),
 785            "DATETIME": _build_datetime,
 786            "DATETIME_ADD": build_date_delta_with_interval(exp.DatetimeAdd),
 787            "DATETIME_SUB": build_date_delta_with_interval(exp.DatetimeSub),
 788            "DIV": binary_from_function(exp.IntDiv),
 789            "EDIT_DISTANCE": _build_levenshtein,
 790            "FORMAT_DATE": _build_format_time(exp.TsOrDsToDate),
 791            "GENERATE_ARRAY": exp.GenerateSeries.from_arg_list,
 792            "JSON_EXTRACT_SCALAR": _build_extract_json_with_default_path(exp.JSONExtractScalar),
 793            "JSON_EXTRACT_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
 794            "JSON_EXTRACT_STRING_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
 795            "JSON_KEYS": exp.JSONKeysAtDepth.from_arg_list,
 796            "JSON_QUERY": parser.build_extract_json_with_path(exp.JSONExtract),
 797            "JSON_QUERY_ARRAY": _build_extract_json_with_default_path(exp.JSONExtractArray),
 798            "JSON_STRIP_NULLS": _build_json_strip_nulls,
 799            "JSON_VALUE": _build_extract_json_with_default_path(exp.JSONExtractScalar),
 800            "JSON_VALUE_ARRAY": _build_extract_json_with_default_path(exp.JSONValueArray),
 801            "LENGTH": lambda args: exp.Length(this=seq_get(args, 0), binary=True),
 802            "MD5": exp.MD5Digest.from_arg_list,
 803            "NORMALIZE_AND_CASEFOLD": lambda args: exp.Normalize(
 804                this=seq_get(args, 0), form=seq_get(args, 1), is_casefold=True
 805            ),
 806            "OCTET_LENGTH": exp.ByteLength.from_arg_list,
 807            "TO_HEX": _build_to_hex,
 808            "PARSE_DATE": lambda args: build_formatted_time(exp.StrToDate, "bigquery")(
 809                [seq_get(args, 1), seq_get(args, 0)]
 810            ),
 811            "PARSE_TIME": lambda args: build_formatted_time(exp.ParseTime, "bigquery")(
 812                [seq_get(args, 1), seq_get(args, 0)]
 813            ),
 814            "PARSE_TIMESTAMP": _build_parse_timestamp,
 815            "PARSE_DATETIME": lambda args: build_formatted_time(exp.ParseDatetime, "bigquery")(
 816                [seq_get(args, 1), seq_get(args, 0)]
 817            ),
 818            "REGEXP_CONTAINS": exp.RegexpLike.from_arg_list,
 819            "REGEXP_EXTRACT": _build_regexp_extract(exp.RegexpExtract),
 820            "REGEXP_SUBSTR": _build_regexp_extract(exp.RegexpExtract),
 821            "REGEXP_EXTRACT_ALL": _build_regexp_extract(
 822                exp.RegexpExtractAll, default_group=exp.Literal.number(0)
 823            ),
 824            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
 825            "SHA512": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(512)),
 826            "SPLIT": lambda args: exp.Split(
 827                # https://cloud.google.com/bigquery/docs/reference/standard-sql/string_functions#split
 828                this=seq_get(args, 0),
 829                expression=seq_get(args, 1) or exp.Literal.string(","),
 830            ),
 831            "STRPOS": exp.StrPosition.from_arg_list,
 832            "TIME": _build_time,
 833            "TIME_ADD": build_date_delta_with_interval(exp.TimeAdd),
 834            "TIME_SUB": build_date_delta_with_interval(exp.TimeSub),
 835            "TIMESTAMP": _build_timestamp,
 836            "TIMESTAMP_ADD": build_date_delta_with_interval(exp.TimestampAdd),
 837            "TIMESTAMP_SUB": build_date_delta_with_interval(exp.TimestampSub),
 838            "TIMESTAMP_MICROS": lambda args: exp.UnixToTime(
 839                this=seq_get(args, 0), scale=exp.UnixToTime.MICROS
 840            ),
 841            "TIMESTAMP_MILLIS": lambda args: exp.UnixToTime(
 842                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
 843            ),
 844            "TIMESTAMP_SECONDS": lambda args: exp.UnixToTime(this=seq_get(args, 0)),
 845            "TO_JSON": lambda args: exp.JSONFormat(
 846                this=seq_get(args, 0), options=seq_get(args, 1), to_json=True
 847            ),
 848            "TO_JSON_STRING": exp.JSONFormat.from_arg_list,
 849            "FORMAT_DATETIME": _build_format_time(exp.TsOrDsToDatetime),
 850            "FORMAT_TIMESTAMP": _build_format_time(exp.TsOrDsToTimestamp),
 851            "FORMAT_TIME": _build_format_time(exp.TsOrDsToTime),
 852            "FROM_HEX": exp.Unhex.from_arg_list,
 853            "WEEK": lambda args: exp.WeekStart(this=exp.var(seq_get(args, 0))),
 854        }
 855
 856        FUNCTION_PARSERS = {
 857            **parser.Parser.FUNCTION_PARSERS,
 858            "ARRAY": lambda self: self.expression(exp.Array, expressions=[self._parse_statement()]),
 859            "JSON_ARRAY": lambda self: self.expression(
 860                exp.JSONArray, expressions=self._parse_csv(self._parse_bitwise)
 861            ),
 862            "MAKE_INTERVAL": lambda self: self._parse_make_interval(),
 863            "PREDICT": lambda self: self._parse_ml(exp.Predict),
 864            "TRANSLATE": lambda self: self._parse_translate(),
 865            "FEATURES_AT_TIME": lambda self: self._parse_features_at_time(),
 866            "GENERATE_EMBEDDING": lambda self: self._parse_ml(exp.GenerateEmbedding),
 867            "GENERATE_TEXT_EMBEDDING": lambda self: self._parse_ml(
 868                exp.GenerateEmbedding, is_text=True
 869            ),
 870            "VECTOR_SEARCH": lambda self: self._parse_vector_search(),
 871            "FORECAST": lambda self: self._parse_ml(exp.MLForecast),
 872        }
 873        FUNCTION_PARSERS.pop("TRIM")
 874
 875        NO_PAREN_FUNCTIONS = {
 876            **parser.Parser.NO_PAREN_FUNCTIONS,
 877            TokenType.CURRENT_DATETIME: exp.CurrentDatetime,
 878        }
 879
 880        NESTED_TYPE_TOKENS = {
 881            *parser.Parser.NESTED_TYPE_TOKENS,
 882            TokenType.TABLE,
 883        }
 884
 885        PROPERTY_PARSERS = {
 886            **parser.Parser.PROPERTY_PARSERS,
 887            "NOT DETERMINISTIC": lambda self: self.expression(
 888                exp.StabilityProperty, this=exp.Literal.string("VOLATILE")
 889            ),
 890            "OPTIONS": lambda self: self._parse_with_property(),
 891        }
 892
 893        CONSTRAINT_PARSERS = {
 894            **parser.Parser.CONSTRAINT_PARSERS,
 895            "OPTIONS": lambda self: exp.Properties(expressions=self._parse_with_property()),
 896        }
 897
 898        RANGE_PARSERS = parser.Parser.RANGE_PARSERS.copy()
 899        RANGE_PARSERS.pop(TokenType.OVERLAPS)
 900
 901        DASHED_TABLE_PART_FOLLOW_TOKENS = {TokenType.DOT, TokenType.L_PAREN, TokenType.R_PAREN}
 902
 903        STATEMENT_PARSERS = {
 904            **parser.Parser.STATEMENT_PARSERS,
 905            TokenType.ELSE: lambda self: self._parse_as_command(self._prev),
 906            TokenType.END: lambda self: self._parse_as_command(self._prev),
 907            TokenType.FOR: lambda self: self._parse_for_in(),
 908            TokenType.EXPORT: lambda self: self._parse_export_data(),
 909            TokenType.DECLARE: lambda self: self._parse_declare(),
 910        }
 911
 912        BRACKET_OFFSETS = {
 913            "OFFSET": (0, False),
 914            "ORDINAL": (1, False),
 915            "SAFE_OFFSET": (0, True),
 916            "SAFE_ORDINAL": (1, True),
 917        }
 918
 919        def _parse_for_in(self) -> t.Union[exp.ForIn, exp.Command]:
 920            index = self._index
 921            this = self._parse_range()
 922            self._match_text_seq("DO")
 923            if self._match(TokenType.COMMAND):
 924                self._retreat(index)
 925                return self._parse_as_command(self._prev)
 926            return self.expression(exp.ForIn, this=this, expression=self._parse_statement())
 927
 928        def _parse_table_part(self, schema: bool = False) -> t.Optional[exp.Expression]:
 929            this = super()._parse_table_part(schema=schema) or self._parse_number()
 930
 931            # https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#table_names
 932            if isinstance(this, exp.Identifier):
 933                table_name = this.name
 934                while self._match(TokenType.DASH, advance=False) and self._next:
 935                    start = self._curr
 936                    while self._is_connected() and not self._match_set(
 937                        self.DASHED_TABLE_PART_FOLLOW_TOKENS, advance=False
 938                    ):
 939                        self._advance()
 940
 941                    if start == self._curr:
 942                        break
 943
 944                    table_name += self._find_sql(start, self._prev)
 945
 946                this = exp.Identifier(
 947                    this=table_name, quoted=this.args.get("quoted")
 948                ).update_positions(this)
 949            elif isinstance(this, exp.Literal):
 950                table_name = this.name
 951
 952                if self._is_connected() and self._parse_var(any_token=True):
 953                    table_name += self._prev.text
 954
 955                this = exp.Identifier(this=table_name, quoted=True).update_positions(this)
 956
 957            return this
 958
 959        def _parse_table_parts(
 960            self, schema: bool = False, is_db_reference: bool = False, wildcard: bool = False
 961        ) -> exp.Table:
 962            table = super()._parse_table_parts(
 963                schema=schema, is_db_reference=is_db_reference, wildcard=True
 964            )
 965
 966            # proj-1.db.tbl -- `1.` is tokenized as a float so we need to unravel it here
 967            if not table.catalog:
 968                if table.db:
 969                    previous_db = table.args["db"]
 970                    parts = table.db.split(".")
 971                    if len(parts) == 2 and not table.args["db"].quoted:
 972                        table.set(
 973                            "catalog", exp.Identifier(this=parts[0]).update_positions(previous_db)
 974                        )
 975                        table.set("db", exp.Identifier(this=parts[1]).update_positions(previous_db))
 976                else:
 977                    previous_this = table.this
 978                    parts = table.name.split(".")
 979                    if len(parts) == 2 and not table.this.quoted:
 980                        table.set(
 981                            "db", exp.Identifier(this=parts[0]).update_positions(previous_this)
 982                        )
 983                        table.set(
 984                            "this", exp.Identifier(this=parts[1]).update_positions(previous_this)
 985                        )
 986
 987            if isinstance(table.this, exp.Identifier) and any("." in p.name for p in table.parts):
 988                alias = table.this
 989                catalog, db, this, *rest = (
 990                    exp.to_identifier(p, quoted=True)
 991                    for p in split_num_words(".".join(p.name for p in table.parts), ".", 3)
 992                )
 993
 994                for part in (catalog, db, this):
 995                    if part:
 996                        part.update_positions(table.this)
 997
 998                if rest and this:
 999                    this = exp.Dot.build([this, *rest])  # type: ignore
1000
1001                table = exp.Table(
1002                    this=this, db=db, catalog=catalog, pivots=table.args.get("pivots")
1003                )
1004                table.meta["quoted_table"] = True
1005            else:
1006                alias = None
1007
1008            # The `INFORMATION_SCHEMA` views in BigQuery need to be qualified by a region or
1009            # dataset, so if the project identifier is omitted we need to fix the ast so that
1010            # the `INFORMATION_SCHEMA.X` bit is represented as a single (quoted) Identifier.
1011            # Otherwise, we wouldn't correctly qualify a `Table` node that references these
1012            # views, because it would seem like the "catalog" part is set, when it'd actually
1013            # be the region/dataset. Merging the two identifiers into a single one is done to
1014            # avoid producing a 4-part Table reference, which would cause issues in the schema
1015            # module, when there are 3-part table names mixed with information schema views.
1016            #
1017            # See: https://cloud.google.com/bigquery/docs/information-schema-intro#syntax
1018            table_parts = table.parts
1019            if len(table_parts) > 1 and table_parts[-2].name.upper() == "INFORMATION_SCHEMA":
1020                # We need to alias the table here to avoid breaking existing qualified columns.
1021                # This is expected to be safe, because if there's an actual alias coming up in
1022                # the token stream, it will overwrite this one. If there isn't one, we are only
1023                # exposing the name that can be used to reference the view explicitly (a no-op).
1024                exp.alias_(
1025                    table,
1026                    t.cast(exp.Identifier, alias or table_parts[-1]),
1027                    table=True,
1028                    copy=False,
1029                )
1030
1031                info_schema_view = f"{table_parts[-2].name}.{table_parts[-1].name}"
1032                new_this = exp.Identifier(this=info_schema_view, quoted=True).update_positions(
1033                    line=table_parts[-2].meta.get("line"),
1034                    col=table_parts[-1].meta.get("col"),
1035                    start=table_parts[-2].meta.get("start"),
1036                    end=table_parts[-1].meta.get("end"),
1037                )
1038                table.set("this", new_this)
1039                table.set("db", seq_get(table_parts, -3))
1040                table.set("catalog", seq_get(table_parts, -4))
1041
1042            return table
1043
1044        def _parse_column(self) -> t.Optional[exp.Expression]:
1045            column = super()._parse_column()
1046            if isinstance(column, exp.Column):
1047                parts = column.parts
1048                if any("." in p.name for p in parts):
1049                    catalog, db, table, this, *rest = (
1050                        exp.to_identifier(p, quoted=True)
1051                        for p in split_num_words(".".join(p.name for p in parts), ".", 4)
1052                    )
1053
1054                    if rest and this:
1055                        this = exp.Dot.build([this, *rest])  # type: ignore
1056
1057                    column = exp.Column(this=this, table=table, db=db, catalog=catalog)
1058                    column.meta["quoted_column"] = True
1059
1060            return column
1061
1062        @t.overload
1063        def _parse_json_object(self, agg: Lit[False]) -> exp.JSONObject: ...
1064
1065        @t.overload
1066        def _parse_json_object(self, agg: Lit[True]) -> exp.JSONObjectAgg: ...
1067
1068        def _parse_json_object(self, agg=False):
1069            json_object = super()._parse_json_object()
1070            array_kv_pair = seq_get(json_object.expressions, 0)
1071
1072            # Converts BQ's "signature 2" of JSON_OBJECT into SQLGlot's canonical representation
1073            # https://cloud.google.com/bigquery/docs/reference/standard-sql/json_functions#json_object_signature2
1074            if (
1075                array_kv_pair
1076                and isinstance(array_kv_pair.this, exp.Array)
1077                and isinstance(array_kv_pair.expression, exp.Array)
1078            ):
1079                keys = array_kv_pair.this.expressions
1080                values = array_kv_pair.expression.expressions
1081
1082                json_object.set(
1083                    "expressions",
1084                    [exp.JSONKeyValue(this=k, expression=v) for k, v in zip(keys, values)],
1085                )
1086
1087            return json_object
1088
1089        def _parse_bracket(
1090            self, this: t.Optional[exp.Expression] = None
1091        ) -> t.Optional[exp.Expression]:
1092            bracket = super()._parse_bracket(this)
1093
1094            if this is bracket:
1095                return bracket
1096
1097            if isinstance(bracket, exp.Bracket):
1098                for expression in bracket.expressions:
1099                    name = expression.name.upper()
1100
1101                    if name not in self.BRACKET_OFFSETS:
1102                        break
1103
1104                    offset, safe = self.BRACKET_OFFSETS[name]
1105                    bracket.set("offset", offset)
1106                    bracket.set("safe", safe)
1107                    expression.replace(expression.expressions[0])
1108
1109            return bracket
1110
1111        def _parse_unnest(self, with_alias: bool = True) -> t.Optional[exp.Unnest]:
1112            unnest = super()._parse_unnest(with_alias=with_alias)
1113
1114            if not unnest:
1115                return None
1116
1117            unnest_expr = seq_get(unnest.expressions, 0)
1118            if unnest_expr:
1119                from sqlglot.optimizer.annotate_types import annotate_types
1120
1121                unnest_expr = annotate_types(unnest_expr, dialect=self.dialect)
1122
1123                # Unnesting a nested array (i.e array of structs) explodes the top-level struct fields,
1124                # in contrast to other dialects such as DuckDB which flattens only the array by default
1125                if unnest_expr.is_type(exp.DataType.Type.ARRAY) and any(
1126                    array_elem.is_type(exp.DataType.Type.STRUCT)
1127                    for array_elem in unnest_expr._type.expressions
1128                ):
1129                    unnest.set("explode_array", True)
1130
1131            return unnest
1132
1133        def _parse_make_interval(self) -> exp.MakeInterval:
1134            expr = exp.MakeInterval()
1135
1136            for arg_key in expr.arg_types:
1137                value = self._parse_lambda()
1138
1139                if not value:
1140                    break
1141
1142                # Non-named arguments are filled sequentially, (optionally) followed by named arguments
1143                # that can appear in any order e.g MAKE_INTERVAL(1, minute => 5, day => 2)
1144                if isinstance(value, exp.Kwarg):
1145                    arg_key = value.this.name
1146
1147                expr.set(arg_key, value)
1148
1149                self._match(TokenType.COMMA)
1150
1151            return expr
1152
1153        def _parse_ml(self, expr_type: t.Type[E], **kwargs) -> E:
1154            self._match_text_seq("MODEL")
1155            this = self._parse_table()
1156
1157            self._match(TokenType.COMMA)
1158            self._match_text_seq("TABLE")
1159
1160            # Certain functions like ML.FORECAST require a STRUCT argument but not a TABLE/SELECT one
1161            expression = (
1162                self._parse_table() if not self._match(TokenType.STRUCT, advance=False) else None
1163            )
1164
1165            self._match(TokenType.COMMA)
1166
1167            return self.expression(
1168                expr_type,
1169                this=this,
1170                expression=expression,
1171                params_struct=self._parse_bitwise(),
1172                **kwargs,
1173            )
1174
1175        def _parse_translate(self) -> exp.Translate | exp.MLTranslate:
1176            # Check if this is ML.TRANSLATE by looking at previous tokens
1177            token = seq_get(self._tokens, self._index - 4)
1178            if token and token.text.upper() == "ML":
1179                return self._parse_ml(exp.MLTranslate)
1180
1181            return exp.Translate.from_arg_list(self._parse_function_args())
1182
1183        def _parse_features_at_time(self) -> exp.FeaturesAtTime:
1184            self._match(TokenType.TABLE)
1185            this = self._parse_table()
1186
1187            expr = self.expression(exp.FeaturesAtTime, this=this)
1188
1189            while self._match(TokenType.COMMA):
1190                arg = self._parse_lambda()
1191
1192                # Get the LHS of the Kwarg and set the arg to that value, e.g
1193                # "num_rows => 1" sets the expr's `num_rows` arg
1194                if arg:
1195                    expr.set(arg.this.name, arg)
1196
1197            return expr
1198
1199        def _parse_vector_search(self) -> exp.VectorSearch:
1200            self._match(TokenType.TABLE)
1201            base_table = self._parse_table()
1202
1203            self._match(TokenType.COMMA)
1204
1205            column_to_search = self._parse_bitwise()
1206            self._match(TokenType.COMMA)
1207
1208            self._match(TokenType.TABLE)
1209            query_table = self._parse_table()
1210
1211            expr = self.expression(
1212                exp.VectorSearch,
1213                this=base_table,
1214                column_to_search=column_to_search,
1215                query_table=query_table,
1216            )
1217
1218            while self._match(TokenType.COMMA):
1219                # query_column_to_search can be named argument or positional
1220                if self._match(TokenType.STRING, advance=False):
1221                    query_column = self._parse_string()
1222                    expr.set("query_column_to_search", query_column)
1223                else:
1224                    arg = self._parse_lambda()
1225                    if arg:
1226                        expr.set(arg.this.name, arg)
1227
1228            return expr
1229
1230        def _parse_export_data(self) -> exp.Export:
1231            self._match_text_seq("DATA")
1232
1233            return self.expression(
1234                exp.Export,
1235                connection=self._match_text_seq("WITH", "CONNECTION") and self._parse_table_parts(),
1236                options=self._parse_properties(),
1237                this=self._match_text_seq("AS") and self._parse_select(),
1238            )

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
JOINS_HAVE_EQUAL_PRECEDENCE = True
ID_VAR_TOKENS = {<TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, <TokenType.INT: 'INT'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.RANGE: 'RANGE'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.CASE: 'CASE'>, <TokenType.STAGE: 'STAGE'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.APPLY: 'APPLY'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.INT256: 'INT256'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.LOAD: 'LOAD'>, <TokenType.ROWS: 'ROWS'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.DELETE: 'DELETE'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.UINT: 'UINT'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.INT128: 'INT128'>, <TokenType.FALSE: 'FALSE'>, <TokenType.END: 'END'>, <TokenType.UINT256: 'UINT256'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.MODEL: 'MODEL'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.NAME: 'NAME'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.DATE32: 'DATE32'>, <TokenType.TABLE: 'TABLE'>, <TokenType.DATE: 'DATE'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.SESSION: 'SESSION'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.LOCK: 'LOCK'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.ANY: 'ANY'>, <TokenType.KILL: 'KILL'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.ANTI: 'ANTI'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.SINK: 'SINK'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.TRUE: 'TRUE'>, <TokenType.NULL: 'NULL'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.ENUM: 'ENUM'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.IS: 'IS'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.LEFT: 'LEFT'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.VAR: 'VAR'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.SEMI: 'SEMI'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.BLOB: 'BLOB'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.VOID: 'VOID'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.GEOGRAPHYPOINT: 'GEOGRAPHYPOINT'>, <TokenType.NEXT: 'NEXT'>, <TokenType.SEMANTIC_VIEW: 'SEMANTIC_VIEW'>, <TokenType.FILTER: 'FILTER'>, <TokenType.ASOF: 'ASOF'>, <TokenType.DIV: 'DIV'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.ROW: 'ROW'>, <TokenType.TEXT: 'TEXT'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.IPV4: 'IPV4'>, <TokenType.XML: 'XML'>, <TokenType.JSON: 'JSON'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.CUBE: 'CUBE'>, <TokenType.BINARY: 'BINARY'>, <TokenType.SOME: 'SOME'>, <TokenType.WINDOW: 'WINDOW'>, <TokenType.MERGE: 'MERGE'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.RIGHT: 'RIGHT'>, <TokenType.TIME: 'TIME'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.UINT128: 'UINT128'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.UUID: 'UUID'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.VIEW: 'VIEW'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.BIT: 'BIT'>, <TokenType.GET: 'GET'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.CACHE: 'CACHE'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.NESTED: 'NESTED'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.USE: 'USE'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.TAG: 'TAG'>, <TokenType.NOTHING: 'NOTHING'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.INET: 'INET'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.SUPER: 'SUPER'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.COPY: 'COPY'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.LIST: 'LIST'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.YEAR: 'YEAR'>, <TokenType.ALL: 'ALL'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.FULL: 'FULL'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.INDEX: 'INDEX'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.KEEP: 'KEEP'>, <TokenType.PUT: 'PUT'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.MAP: 'MAP'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.MONEY: 'MONEY'>, <TokenType.NATURAL: 'NATURAL'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.JSONB: 'JSONB'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.SHOW: 'SHOW'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.TOP: 'TOP'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.POINT: 'POINT'>, <TokenType.IPV6: 'IPV6'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.FIRST: 'FIRST'>, <TokenType.FINAL: 'FINAL'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.DETACH: 'DETACH'>, <TokenType.SET: 'SET'>, <TokenType.RING: 'RING'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.CHAR: 'CHAR'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>}
ALIAS_TOKENS = {<TokenType.INT: 'INT'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.RANGE: 'RANGE'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.CASE: 'CASE'>, <TokenType.STAGE: 'STAGE'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.APPLY: 'APPLY'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.INT256: 'INT256'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.LOAD: 'LOAD'>, <TokenType.ROWS: 'ROWS'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.DELETE: 'DELETE'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.UINT: 'UINT'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.INT128: 'INT128'>, <TokenType.FALSE: 'FALSE'>, <TokenType.END: 'END'>, <TokenType.UINT256: 'UINT256'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.MODEL: 'MODEL'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.NAME: 'NAME'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.DATE32: 'DATE32'>, <TokenType.TABLE: 'TABLE'>, <TokenType.DATE: 'DATE'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.SESSION: 'SESSION'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.LOCK: 'LOCK'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.ANY: 'ANY'>, <TokenType.KILL: 'KILL'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.ANTI: 'ANTI'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.SINK: 'SINK'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.TRUE: 'TRUE'>, <TokenType.NULL: 'NULL'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.ENUM: 'ENUM'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.IS: 'IS'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.LEFT: 'LEFT'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.VAR: 'VAR'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.SEMI: 'SEMI'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.BLOB: 'BLOB'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.VOID: 'VOID'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.GEOGRAPHYPOINT: 'GEOGRAPHYPOINT'>, <TokenType.NEXT: 'NEXT'>, <TokenType.SEMANTIC_VIEW: 'SEMANTIC_VIEW'>, <TokenType.FILTER: 'FILTER'>, <TokenType.ASOF: 'ASOF'>, <TokenType.DIV: 'DIV'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.ROW: 'ROW'>, <TokenType.TEXT: 'TEXT'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.IPV4: 'IPV4'>, <TokenType.XML: 'XML'>, <TokenType.JSON: 'JSON'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.CUBE: 'CUBE'>, <TokenType.BINARY: 'BINARY'>, <TokenType.SOME: 'SOME'>, <TokenType.WINDOW: 'WINDOW'>, <TokenType.MERGE: 'MERGE'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.RIGHT: 'RIGHT'>, <TokenType.TIME: 'TIME'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.UINT128: 'UINT128'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.UUID: 'UUID'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.VIEW: 'VIEW'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.BIT: 'BIT'>, <TokenType.GET: 'GET'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.CACHE: 'CACHE'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.NESTED: 'NESTED'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.USE: 'USE'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.TAG: 'TAG'>, <TokenType.NOTHING: 'NOTHING'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.INET: 'INET'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.SUPER: 'SUPER'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.COPY: 'COPY'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.LIST: 'LIST'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.YEAR: 'YEAR'>, <TokenType.ALL: 'ALL'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.FULL: 'FULL'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.INDEX: 'INDEX'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.KEEP: 'KEEP'>, <TokenType.PUT: 'PUT'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.MAP: 'MAP'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.MONEY: 'MONEY'>, <TokenType.NATURAL: 'NATURAL'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.JSONB: 'JSONB'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.SHOW: 'SHOW'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.TOP: 'TOP'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.POINT: 'POINT'>, <TokenType.IPV6: 'IPV6'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.FIRST: 'FIRST'>, <TokenType.FINAL: 'FINAL'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.DETACH: 'DETACH'>, <TokenType.SET: 'SET'>, <TokenType.RING: 'RING'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.CHAR: 'CHAR'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>}
TABLE_ALIAS_TOKENS = {<TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, <TokenType.INT: 'INT'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.RANGE: 'RANGE'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.CASE: 'CASE'>, <TokenType.STAGE: 'STAGE'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.APPLY: 'APPLY'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.INT256: 'INT256'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.LOAD: 'LOAD'>, <TokenType.ROWS: 'ROWS'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.DELETE: 'DELETE'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.UINT: 'UINT'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.INT128: 'INT128'>, <TokenType.FALSE: 'FALSE'>, <TokenType.END: 'END'>, <TokenType.UINT256: 'UINT256'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.MODEL: 'MODEL'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.NAME: 'NAME'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.DATE32: 'DATE32'>, <TokenType.TABLE: 'TABLE'>, <TokenType.DATE: 'DATE'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.SESSION: 'SESSION'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.ANY: 'ANY'>, <TokenType.KILL: 'KILL'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.ANTI: 'ANTI'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.SINK: 'SINK'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.TRUE: 'TRUE'>, <TokenType.NULL: 'NULL'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.ENUM: 'ENUM'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.IS: 'IS'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.VAR: 'VAR'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.SEMI: 'SEMI'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.BLOB: 'BLOB'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.VOID: 'VOID'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.GEOGRAPHYPOINT: 'GEOGRAPHYPOINT'>, <TokenType.NEXT: 'NEXT'>, <TokenType.SEMANTIC_VIEW: 'SEMANTIC_VIEW'>, <TokenType.FILTER: 'FILTER'>, <TokenType.DIV: 'DIV'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.ROW: 'ROW'>, <TokenType.TEXT: 'TEXT'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.IPV4: 'IPV4'>, <TokenType.XML: 'XML'>, <TokenType.JSON: 'JSON'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.CUBE: 'CUBE'>, <TokenType.BINARY: 'BINARY'>, <TokenType.SOME: 'SOME'>, <TokenType.MERGE: 'MERGE'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.TIME: 'TIME'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.UINT128: 'UINT128'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.UUID: 'UUID'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.VIEW: 'VIEW'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.BIT: 'BIT'>, <TokenType.GET: 'GET'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.CACHE: 'CACHE'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.NESTED: 'NESTED'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.USE: 'USE'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.TAG: 'TAG'>, <TokenType.NOTHING: 'NOTHING'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.INET: 'INET'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.SUPER: 'SUPER'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.COPY: 'COPY'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.LIST: 'LIST'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.YEAR: 'YEAR'>, <TokenType.ALL: 'ALL'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.INDEX: 'INDEX'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.KEEP: 'KEEP'>, <TokenType.PUT: 'PUT'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.MAP: 'MAP'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.MONEY: 'MONEY'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.JSONB: 'JSONB'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.SHOW: 'SHOW'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.TOP: 'TOP'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.POINT: 'POINT'>, <TokenType.IPV6: 'IPV6'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.FIRST: 'FIRST'>, <TokenType.FINAL: 'FINAL'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.DETACH: 'DETACH'>, <TokenType.SET: 'SET'>, <TokenType.RING: 'RING'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.CHAR: 'CHAR'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>}
COMMENT_TABLE_ALIAS_TOKENS = {<TokenType.INT: 'INT'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.RANGE: 'RANGE'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.CASE: 'CASE'>, <TokenType.STAGE: 'STAGE'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.APPLY: 'APPLY'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.INT256: 'INT256'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.LOAD: 'LOAD'>, <TokenType.ROWS: 'ROWS'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.DELETE: 'DELETE'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.UINT: 'UINT'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.INT128: 'INT128'>, <TokenType.FALSE: 'FALSE'>, <TokenType.END: 'END'>, <TokenType.UINT256: 'UINT256'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.MODEL: 'MODEL'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.NAME: 'NAME'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.DATE32: 'DATE32'>, <TokenType.TABLE: 'TABLE'>, <TokenType.DATE: 'DATE'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.SESSION: 'SESSION'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.ANY: 'ANY'>, <TokenType.KILL: 'KILL'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.SINK: 'SINK'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.TRUE: 'TRUE'>, <TokenType.NULL: 'NULL'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.ENUM: 'ENUM'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.VAR: 'VAR'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.BLOB: 'BLOB'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.VOID: 'VOID'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.GEOGRAPHYPOINT: 'GEOGRAPHYPOINT'>, <TokenType.NEXT: 'NEXT'>, <TokenType.SEMANTIC_VIEW: 'SEMANTIC_VIEW'>, <TokenType.FILTER: 'FILTER'>, <TokenType.DIV: 'DIV'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.ROW: 'ROW'>, <TokenType.TEXT: 'TEXT'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.IPV4: 'IPV4'>, <TokenType.XML: 'XML'>, <TokenType.JSON: 'JSON'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.CUBE: 'CUBE'>, <TokenType.BINARY: 'BINARY'>, <TokenType.SOME: 'SOME'>, <TokenType.MERGE: 'MERGE'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.TIME: 'TIME'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.UINT128: 'UINT128'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.UUID: 'UUID'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.VIEW: 'VIEW'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.BIT: 'BIT'>, <TokenType.GET: 'GET'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.CACHE: 'CACHE'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.NESTED: 'NESTED'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.USE: 'USE'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.TAG: 'TAG'>, <TokenType.NOTHING: 'NOTHING'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.INET: 'INET'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.SUPER: 'SUPER'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.COPY: 'COPY'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.LIST: 'LIST'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.YEAR: 'YEAR'>, <TokenType.ALL: 'ALL'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.INDEX: 'INDEX'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.KEEP: 'KEEP'>, <TokenType.PUT: 'PUT'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.MAP: 'MAP'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.MONEY: 'MONEY'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.JSONB: 'JSONB'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.SHOW: 'SHOW'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.TOP: 'TOP'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.POINT: 'POINT'>, <TokenType.IPV6: 'IPV6'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.FIRST: 'FIRST'>, <TokenType.FINAL: 'FINAL'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.DETACH: 'DETACH'>, <TokenType.SET: 'SET'>, <TokenType.RING: 'RING'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.CHAR: 'CHAR'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>}
UPDATE_ALIAS_TOKENS = {<TokenType.INT: 'INT'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.RANGE: 'RANGE'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.CASE: 'CASE'>, <TokenType.STAGE: 'STAGE'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.APPLY: 'APPLY'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.INT256: 'INT256'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.LOAD: 'LOAD'>, <TokenType.ROWS: 'ROWS'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.DELETE: 'DELETE'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.UINT: 'UINT'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.INT128: 'INT128'>, <TokenType.FALSE: 'FALSE'>, <TokenType.END: 'END'>, <TokenType.UINT256: 'UINT256'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.MODEL: 'MODEL'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.NAME: 'NAME'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.DATE32: 'DATE32'>, <TokenType.TABLE: 'TABLE'>, <TokenType.DATE: 'DATE'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.SESSION: 'SESSION'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.ANY: 'ANY'>, <TokenType.KILL: 'KILL'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.SINK: 'SINK'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.TRUE: 'TRUE'>, <TokenType.NULL: 'NULL'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.ENUM: 'ENUM'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.IS: 'IS'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.VAR: 'VAR'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.BLOB: 'BLOB'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.VOID: 'VOID'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.GEOGRAPHYPOINT: 'GEOGRAPHYPOINT'>, <TokenType.NEXT: 'NEXT'>, <TokenType.SEMANTIC_VIEW: 'SEMANTIC_VIEW'>, <TokenType.FILTER: 'FILTER'>, <TokenType.DIV: 'DIV'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.ROW: 'ROW'>, <TokenType.TEXT: 'TEXT'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.IPV4: 'IPV4'>, <TokenType.XML: 'XML'>, <TokenType.JSON: 'JSON'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.CUBE: 'CUBE'>, <TokenType.BINARY: 'BINARY'>, <TokenType.SOME: 'SOME'>, <TokenType.MERGE: 'MERGE'>, <TokenType.UPDATE: 'UPDATE'>, <TokenType.TIME: 'TIME'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.UINT128: 'UINT128'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.UUID: 'UUID'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.VIEW: 'VIEW'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.BIT: 'BIT'>, <TokenType.GET: 'GET'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.CACHE: 'CACHE'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.NESTED: 'NESTED'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.USE: 'USE'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.TAG: 'TAG'>, <TokenType.NOTHING: 'NOTHING'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.INET: 'INET'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.SUPER: 'SUPER'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.COPY: 'COPY'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.LIST: 'LIST'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.YEAR: 'YEAR'>, <TokenType.ALL: 'ALL'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.INDEX: 'INDEX'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.KEEP: 'KEEP'>, <TokenType.PUT: 'PUT'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.MAP: 'MAP'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.REFERENCES: 'REFERENCES'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.MONEY: 'MONEY'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.JSONB: 'JSONB'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.SHOW: 'SHOW'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.TOP: 'TOP'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.POINT: 'POINT'>, <TokenType.IPV6: 'IPV6'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.FIRST: 'FIRST'>, <TokenType.FINAL: 'FINAL'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.DETACH: 'DETACH'>, <TokenType.RING: 'RING'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.CHAR: 'CHAR'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>}
FUNCTIONS = {'AI_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AIAgg'>>, 'AI_CLASSIFY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AIClassify'>>, 'AI_SUMMARIZE_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AISummarizeAgg'>>, 'ABS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Abs'>>, 'ACOS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Acos'>>, 'ACOSH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Acosh'>>, 'ADD_MONTHS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AddMonths'>>, 'AND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.And'>>, 'ANONYMOUS_AGG_FUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AnonymousAggFunc'>>, 'ANY_VALUE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AnyValue'>>, 'APPLY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Apply'>>, 'APPROX_DISTINCT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxDistinct'>>, 'APPROX_COUNT_DISTINCT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxDistinct'>>, 'APPROX_QUANTILE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxQuantile'>>, 'APPROX_QUANTILES': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxQuantiles'>>, 'APPROX_TOP_K': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxTopK'>>, 'APPROX_TOP_SUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxTopSum'>>, '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_CONCAT_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayConcatAgg'>>, '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_FIRST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayFirst'>>, 'ARRAY_INTERSECT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayIntersect'>>, 'ARRAY_INTERSECTION': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayIntersect'>>, 'ARRAY_LAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayLast'>>, 'ARRAY_OVERLAPS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayOverlaps'>>, 'ARRAY_REMOVE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayRemove'>>, 'ARRAY_REVERSE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayReverse'>>, '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_SLICE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySlice'>>, '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'>>, 'ASCII': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ascii'>>, 'ASIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Asin'>>, 'ASINH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Asinh'>>, 'ATAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Atan'>>, 'ATAN2': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Atan2'>>, 'ATANH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Atanh'>>, 'AVG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Avg'>>, 'BASE64_DECODE_BINARY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Base64DecodeBinary'>>, 'BASE64_DECODE_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Base64DecodeString'>>, 'BASE64_ENCODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Base64Encode'>>, 'BIT_LENGTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.BitLength'>>, 'BITWISE_AND_AGG': <bound method Func.from_arg_list of <class 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Parser.<lambda>>, 'COALESCE': <function build_coalesce>, 'IFNULL': <function build_coalesce>, 'NVL': <function build_coalesce>, 'CODE_POINTS_TO_BYTES': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CodePointsToBytes'>>, 'CODE_POINTS_TO_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CodePointsToString'>>, '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'>>, 'COMPRESS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Compress'>>, 'CONCAT': <function Parser.<lambda>>, 'CONCAT_WS': <function Parser.<lambda>>, 'CONNECT_BY_ROOT': <bound method Func.from_arg_list of <class 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'CURRENT_USER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentUser'>>, 'DATE': <function _build_date>, 'DATE_ADD': <function build_date_delta_with_interval.<locals>._builder>, 'DATE_BIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateBin'>>, 'DATEDIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateDiff'>>, 'DATE_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateDiff'>>, 'DATE_FROM_PARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateFromParts'>>, 'DATEFROMPARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateFromParts'>>, 'DATE_FROM_UNIX_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateFromUnixDate'>>, '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'>>, 'DECODE_CASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DecodeCase'>>, 'DENSE_RANK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DenseRank'>>, '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'>>, 'ENDS_WITH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.EndsWith'>>, 'ENDSWITH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.EndsWith'>>, 'EUCLIDEAN_DISTANCE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.EuclideanDistance'>>, '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'>>, 'FARM_FINGERPRINT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FarmFingerprint'>>, 'FARMFINGERPRINT64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FarmFingerprint'>>, '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'>>, 'FLOAT64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Float64'>>, 'FLOOR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Floor'>>, 'FORMAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Format'>>, 'FROM_BASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FromBase'>>, 'FROM_BASE32': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FromBase32'>>, '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': 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'sqlglot.expressions.Hll'>>, 'IF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.If'>>, 'IIF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.If'>>, 'INITCAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Initcap'>>, 'INLINE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Inline'>>, 'INT64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Int64'>>, 'IS_ASCII': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsAscii'>>, 'IS_INF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsInf'>>, 'ISINF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsInf'>>, 'IS_NAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsNan'>>, 'ISNAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsNan'>>, 'J_S_O_N_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArray'>>, 'J_S_O_N_ARRAY_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayAgg'>>, 'JSON_ARRAY_APPEND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayAppend'>>, 'JSON_ARRAY_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayContains'>>, 'JSON_ARRAY_INSERT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayInsert'>>, 'JSONB_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBContains'>>, 'J_S_O_N_B_CONTAINS_ALL_TOP_KEYS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBContainsAllTopKeys'>>, 'J_S_O_N_B_CONTAINS_ANY_TOP_KEYS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBContainsAnyTopKeys'>>, 'J_S_O_N_B_DELETE_AT_PATH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBDeleteAtPath'>>, 'JSONB_EXISTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBExists'>>, 'JSONB_EXTRACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBExtract'>>, 'JSONB_EXTRACT_SCALAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBExtractScalar'>>, 'J_S_O_N_B_OBJECT_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBObjectAgg'>>, 'J_S_O_N_BOOL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBool'>>, 'J_S_O_N_CAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONCast'>>, 'J_S_O_N_EXISTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONExists'>>, 'JSON_EXTRACT': <function build_extract_json_with_path.<locals>._builder>, 'JSON_EXTRACT_ARRAY': <function _build_extract_json_with_default_path.<locals>._builder>, 'JSON_EXTRACT_SCALAR': <function _build_extract_json_with_default_path.<locals>._builder>, 'JSON_FORMAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONFormat'>>, 'J_S_O_N_KEYS_AT_DEPTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONKeysAtDepth'>>, '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'>>, 'JSON_REMOVE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONRemove'>>, 'JSON_SET': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONSet'>>, 'JSON_STRIP_NULLS': <function _build_json_strip_nulls>, 'J_S_O_N_TABLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONTable'>>, 'JSON_TYPE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONType'>>, 'J_S_O_N_VALUE_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONValueArray'>>, 'JUSTIFY_DAYS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JustifyDays'>>, 'JUSTIFY_HOURS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JustifyHours'>>, 'JUSTIFY_INTERVAL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JustifyInterval'>>, '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'>>, 'LAX_BOOL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LaxBool'>>, 'LAX_FLOAT64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LaxFloat64'>>, 'LAX_INT64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LaxInt64'>>, 'LAX_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LaxString'>>, 'LEAD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Lead'>>, 'LEAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Least'>>, 'LEFT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Left'>>, 'LENGTH': <function BigQuery.Parser.<lambda>>, 'LEN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Length'>>, 'CHAR_LENGTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Length'>>, 'CHARACTER_LENGTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Length'>>, 'LEVENSHTEIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Levenshtein'>>, 'LIST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.List'>>, 'LN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ln'>>, 'LOG': <function build_logarithm>, 'LOGICAL_AND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalAnd'>>, 'BOOL_AND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalAnd'>>, 'BOOLAND_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalAnd'>>, 'LOGICAL_OR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalOr'>>, 'BOOL_OR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalOr'>>, 'BOOLOR_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LogicalOr'>>, 'LOWER': <function build_lower>, 'LCASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Lower'>>, 'LOWER_HEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LowerHex'>>, 'MD5': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MD5Digest'>>, 'MD5_DIGEST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MD5Digest'>>, 'M_D5_NUMBER_LOWER64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MD5NumberLower64'>>, 'M_D5_NUMBER_UPPER64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MD5NumberUpper64'>>, 'M_L_FORECAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MLForecast'>>, 'M_L_TRANSLATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MLTranslate'>>, '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'>>, 'NTILE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ntile'>>, 'NULLIF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Nullif'>>, 'NUMBER_TO_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.NumberToStr'>>, 'NVL2': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Nvl2'>>, 'OBJECT_INSERT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ObjectInsert'>>, 'OPEN_J_S_O_N': <bound method Func.from_arg_list of <class 'sqlglot.expressions.OpenJSON'>>, 'OR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Or'>>, 'OVERLAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Overlay'>>, 'PAD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Pad'>>, 'PARAMETERIZED_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParameterizedAgg'>>, 'PARSE_BIGNUMERIC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParseBignumeric'>>, 'PARSE_DATETIME': <function BigQuery.Parser.<lambda>>, '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'>>, 'PARSE_NUMERIC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParseNumeric'>>, 'PARSE_TIME': <function BigQuery.Parser.<lambda>>, 'PERCENT_RANK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.PercentRank'>>, '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_BUCKET': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RangeBucket'>>, 'RANGE_N': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RangeN'>>, 'RANK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Rank'>>, '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_INSTR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpInstr'>>, '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'>>, 'REPLACE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Replace'>>, 'REVERSE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Reverse'>>, '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'>>, 'S_H_A1_DIGEST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA1Digest'>>, 'SHA2': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA2'>>, 'S_H_A2_DIGEST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA2Digest'>>, 'SAFE_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SafeAdd'>>, 'SAFE_CONVERT_BYTES_TO_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SafeConvertBytesToString'>>, 'SAFE_DIVIDE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SafeDivide'>>, 'SAFE_MULTIPLY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SafeMultiply'>>, 'SAFE_NEGATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SafeNegate'>>, 'SAFE_SUBTRACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SafeSubtract'>>, 'SEC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sec'>>, 'SECH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sech'>>, 'SIGN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sign'>>, 'SIGNUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sign'>>, 'SIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sin'>>, 'SINH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sinh'>>, 'SORT_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SortArray'>>, 'SOUNDEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Soundex'>>, 'SPACE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Space'>>, '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'>>, 'ST_DISTANCE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StDistance'>>, 'ST_POINT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StPoint'>>, 'ST_MAKEPOINT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StPoint'>>, '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'>>, 'STRTOK_TO_ARRAY': <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'>>, 'SUBSTRING_INDEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SubstringIndex'>>, '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_BASE32': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToBase32'>>, '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_CODE_POINTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToCodePoints'>>, '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'>>, 'TRANSLATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Translate'>>, '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'>>, 'TYPEOF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Typeof'>>, 'UNHEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Unhex'>>, 'UNICODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Unicode'>>, 'UNIX_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixDate'>>, 'UNIX_MICROS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixMicros'>>, 'UNIX_MILLIS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixMillis'>>, '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'>>, 'UTC_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UtcDate'>>, 'UTC_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UtcTime'>>, 'UTC_TIMESTAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UtcTimestamp'>>, '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'>>, 'VECTOR_SEARCH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.VectorSearch'>>, 'WEEK': <function BigQuery.Parser.<lambda>>, 'WEEK_OF_YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.WeekOfYear'>>, 'WEEKOFYEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.WeekOfYear'>>, 'XMLELEMENT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.XMLElement'>>, 'X_M_L_TABLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.XMLTable'>>, 'XOR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Xor'>>, 'YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Year'>>, 'ARRAYAGG': <function Parser.<lambda>>, 'GLOB': <function Parser.<lambda>>, 'JSON_EXTRACT_PATH_TEXT': <function build_extract_json_with_path.<locals>._builder>, 'LIKE': <function build_like>, 'LOG2': <function Parser.<lambda>>, 'LOG10': <function Parser.<lambda>>, 'LPAD': <function Parser.<lambda>>, 'LEFTPAD': <function Parser.<lambda>>, 'LTRIM': <function Parser.<lambda>>, 'MOD': <function build_mod>, 'RIGHTPAD': <function Parser.<lambda>>, 'RPAD': <function Parser.<lambda>>, 'RTRIM': <function Parser.<lambda>>, 'SCOPE_RESOLUTION': <function Parser.<lambda>>, 'STRPOS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrPosition'>>, 'CHARINDEX': <function Parser.<lambda>>, 'INSTR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrPosition'>>, 'LOCATE': <function Parser.<lambda>>, 'TO_HEX': <function _build_to_hex>, 'APPROX_TOP_COUNT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxTopK'>>, 'BIT_AND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.BitwiseAndAgg'>>, 'BIT_OR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.BitwiseOrAgg'>>, 'BIT_XOR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.BitwiseXorAgg'>>, 'BIT_COUNT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.BitwiseCountAgg'>>, 'BOOL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBool'>>, 'CONTAINS_SUBSTR': <function _build_contains_substring>, 'DIV': <function binary_from_function.<locals>.<lambda>>, 'EDIT_DISTANCE': <function _build_levenshtein>, 'FORMAT_DATE': <function _build_format_time.<locals>._builder>, 'GENERATE_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.GenerateSeries'>>, 'JSON_EXTRACT_STRING_ARRAY': <function _build_extract_json_with_default_path.<locals>._builder>, 'JSON_KEYS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONKeysAtDepth'>>, '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>, 'NORMALIZE_AND_CASEFOLD': <function BigQuery.Parser.<lambda>>, 'OCTET_LENGTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ByteLength'>>, 'PARSE_DATE': <function BigQuery.Parser.<lambda>>, 'PARSE_TIMESTAMP': <function _build_parse_timestamp>, 'REGEXP_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpLike'>>, 'REGEXP_SUBSTR': <function _build_regexp_extract.<locals>._builder>, 'SHA256': <function BigQuery.Parser.<lambda>>, 'SHA512': <function BigQuery.Parser.<lambda>>, 'TIMESTAMP_MICROS': <function BigQuery.Parser.<lambda>>, 'TIMESTAMP_MILLIS': <function BigQuery.Parser.<lambda>>, 'TIMESTAMP_SECONDS': <function BigQuery.Parser.<lambda>>, 'TO_JSON': <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>, 'FORMAT_TIME': <function _build_format_time.<locals>._builder>, 'FROM_HEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Unhex'>>}
FUNCTION_PARSERS = {'ARG_MAX': <function Parser.<dictcomp>.<lambda>>, 'ARGMAX': <function Parser.<dictcomp>.<lambda>>, 'MAX_BY': <function Parser.<dictcomp>.<lambda>>, 'ARG_MIN': <function Parser.<dictcomp>.<lambda>>, 'ARGMIN': <function Parser.<dictcomp>.<lambda>>, 'MIN_BY': <function Parser.<dictcomp>.<lambda>>, 'CAST': <function Parser.<lambda>>, 'CEIL': <function Parser.<lambda>>, 'CONVERT': <function Parser.<lambda>>, 'DECODE': <function Parser.<lambda>>, 'EXTRACT': <function Parser.<lambda>>, 'FLOOR': <function Parser.<lambda>>, 'GAP_FILL': <function Parser.<lambda>>, 'JSON_OBJECT': <function Parser.<lambda>>, 'JSON_OBJECTAGG': <function Parser.<lambda>>, 'JSON_TABLE': <function Parser.<lambda>>, 'MATCH': <function Parser.<lambda>>, 'NORMALIZE': <function Parser.<lambda>>, 'OPENJSON': <function Parser.<lambda>>, 'OVERLAY': <function Parser.<lambda>>, 'POSITION': <function Parser.<lambda>>, 'SAFE_CAST': <function Parser.<lambda>>, 'STRING_AGG': <function Parser.<lambda>>, 'SUBSTRING': <function Parser.<lambda>>, 'TRY_CAST': <function Parser.<lambda>>, 'TRY_CONVERT': <function Parser.<lambda>>, 'XMLELEMENT': <function Parser.<lambda>>, 'XMLTABLE': <function Parser.<lambda>>, 'ARRAY': <function BigQuery.Parser.<lambda>>, 'JSON_ARRAY': <function BigQuery.Parser.<lambda>>, 'MAKE_INTERVAL': <function BigQuery.Parser.<lambda>>, 'PREDICT': <function BigQuery.Parser.<lambda>>, 'TRANSLATE': <function BigQuery.Parser.<lambda>>, 'FEATURES_AT_TIME': <function BigQuery.Parser.<lambda>>, 'GENERATE_EMBEDDING': <function BigQuery.Parser.<lambda>>, 'GENERATE_TEXT_EMBEDDING': <function BigQuery.Parser.<lambda>>, 'VECTOR_SEARCH': <function BigQuery.Parser.<lambda>>, 'FORECAST': <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.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.TABLE: 'TABLE'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.RANGE: 'RANGE'>, <TokenType.LIST: 'LIST'>, <TokenType.UNION: 'UNION'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.MAP: 'MAP'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.NESTED: 'NESTED'>}
PROPERTY_PARSERS = {'ALLOWED_VALUES': <function Parser.<lambda>>, 'ALGORITHM': <function Parser.<lambda>>, 'AUTO': <function Parser.<lambda>>, 'AUTO_INCREMENT': <function Parser.<lambda>>, 'BACKUP': <function Parser.<lambda>>, 'BLOCKCOMPRESSION': <function Parser.<lambda>>, 'CHARSET': <function Parser.<lambda>>, 'CHARACTER SET': <function Parser.<lambda>>, 'CHECKSUM': <function Parser.<lambda>>, 'CLUSTER BY': <function Parser.<lambda>>, 'CLUSTERED': <function Parser.<lambda>>, 'COLLATE': <function Parser.<lambda>>, 'COMMENT': <function Parser.<lambda>>, 'CONTAINS': <function Parser.<lambda>>, 'COPY': <function Parser.<lambda>>, 'DATABLOCKSIZE': <function Parser.<lambda>>, 'DATA_DELETION': <function Parser.<lambda>>, 'DEFINER': <function Parser.<lambda>>, 'DETERMINISTIC': <function Parser.<lambda>>, 'DISTRIBUTED': <function Parser.<lambda>>, 'DUPLICATE': <function Parser.<lambda>>, 'DYNAMIC': <function Parser.<lambda>>, 'DISTKEY': <function Parser.<lambda>>, 'DISTSTYLE': <function Parser.<lambda>>, 'EMPTY': <function Parser.<lambda>>, 'ENGINE': <function Parser.<lambda>>, 'ENVIRONMENT': <function Parser.<lambda>>, 'EXECUTE': <function Parser.<lambda>>, 'EXTERNAL': <function Parser.<lambda>>, 'FALLBACK': <function Parser.<lambda>>, 'FORMAT': <function Parser.<lambda>>, 'FREESPACE': <function Parser.<lambda>>, 'GLOBAL': <function Parser.<lambda>>, 'HEAP': <function Parser.<lambda>>, 'ICEBERG': <function Parser.<lambda>>, 'IMMUTABLE': <function Parser.<lambda>>, 'INHERITS': <function Parser.<lambda>>, 'INPUT': <function Parser.<lambda>>, 'JOURNAL': <function Parser.<lambda>>, 'LANGUAGE': <function Parser.<lambda>>, 'LAYOUT': <function Parser.<lambda>>, 'LIFETIME': <function Parser.<lambda>>, 'LIKE': <function Parser.<lambda>>, 'LOCATION': <function Parser.<lambda>>, 'LOCK': <function Parser.<lambda>>, 'LOCKING': <function Parser.<lambda>>, 'LOG': <function Parser.<lambda>>, 'MATERIALIZED': <function Parser.<lambda>>, 'MERGEBLOCKRATIO': <function Parser.<lambda>>, 'MODIFIES': <function Parser.<lambda>>, 'MULTISET': <function Parser.<lambda>>, 'NO': <function Parser.<lambda>>, 'ON': <function Parser.<lambda>>, 'ORDER BY': <function Parser.<lambda>>, 'OUTPUT': <function Parser.<lambda>>, 'PARTITION': <function Parser.<lambda>>, 'PARTITION BY': <function Parser.<lambda>>, 'PARTITIONED BY': <function Parser.<lambda>>, 'PARTITIONED_BY': <function Parser.<lambda>>, 'PRIMARY KEY': <function Parser.<lambda>>, 'RANGE': <function Parser.<lambda>>, 'READS': <function Parser.<lambda>>, 'REMOTE': <function Parser.<lambda>>, 'RETURNS': <function Parser.<lambda>>, 'STRICT': <function Parser.<lambda>>, 'STREAMING': <function Parser.<lambda>>, 'ROW': <function Parser.<lambda>>, 'ROW_FORMAT': <function Parser.<lambda>>, 'SAMPLE': <function Parser.<lambda>>, 'SECURE': <function Parser.<lambda>>, 'SECURITY': <function Parser.<lambda>>, 'SET': <function Parser.<lambda>>, 'SETTINGS': <function Parser.<lambda>>, 'SHARING': <function Parser.<lambda>>, 'SORTKEY': <function Parser.<lambda>>, 'SOURCE': <function Parser.<lambda>>, 'STABLE': <function Parser.<lambda>>, 'STORED': <function Parser.<lambda>>, 'SYSTEM_VERSIONING': <function Parser.<lambda>>, 'TBLPROPERTIES': <function Parser.<lambda>>, 'TEMP': <function Parser.<lambda>>, 'TEMPORARY': <function Parser.<lambda>>, 'TO': <function Parser.<lambda>>, 'TRANSIENT': <function Parser.<lambda>>, 'TRANSFORM': <function Parser.<lambda>>, 'TTL': <function Parser.<lambda>>, 'USING': <function Parser.<lambda>>, 'UNLOGGED': <function Parser.<lambda>>, 'VOLATILE': <function Parser.<lambda>>, 'WITH': <function Parser.<lambda>>, 'NOT DETERMINISTIC': <function BigQuery.Parser.<lambda>>, 'OPTIONS': <function BigQuery.Parser.<lambda>>}
CONSTRAINT_PARSERS = {'AUTOINCREMENT': <function Parser.<lambda>>, 'AUTO_INCREMENT': <function Parser.<lambda>>, 'CASESPECIFIC': <function Parser.<lambda>>, 'CHARACTER SET': <function Parser.<lambda>>, 'CHECK': <function Parser.<lambda>>, 'COLLATE': <function Parser.<lambda>>, 'COMMENT': <function Parser.<lambda>>, 'COMPRESS': <function Parser.<lambda>>, 'CLUSTERED': <function Parser.<lambda>>, 'NONCLUSTERED': <function Parser.<lambda>>, 'DEFAULT': <function Parser.<lambda>>, 'ENCODE': <function Parser.<lambda>>, 'EPHEMERAL': <function Parser.<lambda>>, 'EXCLUDE': <function Parser.<lambda>>, 'FOREIGN KEY': <function Parser.<lambda>>, 'FORMAT': <function Parser.<lambda>>, 'GENERATED': <function Parser.<lambda>>, 'IDENTITY': <function Parser.<lambda>>, 'INLINE': <function Parser.<lambda>>, 'LIKE': <function Parser.<lambda>>, 'NOT': <function Parser.<lambda>>, 'NULL': <function Parser.<lambda>>, 'ON': <function Parser.<lambda>>, 'PATH': <function Parser.<lambda>>, 'PERIOD': <function Parser.<lambda>>, 'PRIMARY KEY': <function Parser.<lambda>>, 'REFERENCES': <function Parser.<lambda>>, 'TITLE': <function Parser.<lambda>>, 'TTL': <function Parser.<lambda>>, 'UNIQUE': <function Parser.<lambda>>, 'UPPERCASE': <function Parser.<lambda>>, 'WATERMARK': <function Parser.<lambda>>, 'WITH': <function Parser.<lambda>>, 'BUCKET': <function Parser.<lambda>>, 'TRUNCATE': <function Parser.<lambda>>, 'OPTIONS': <function BigQuery.Parser.<lambda>>}
RANGE_PARSERS = {<TokenType.AT_GT: 'AT_GT'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.BETWEEN: 'BETWEEN'>: <function Parser.<lambda>>, <TokenType.GLOB: 'GLOB'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.ILIKE: 'ILIKE'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.IN: 'IN'>: <function Parser.<lambda>>, <TokenType.IRLIKE: 'IRLIKE'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.IS: 'IS'>: <function Parser.<lambda>>, <TokenType.LIKE: 'LIKE'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.LT_AT: 'LT_AT'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.RLIKE: 'RLIKE'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.SIMILAR_TO: 'SIMILAR_TO'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.FOR: 'FOR'>: <function Parser.<lambda>>, <TokenType.QMARK_AMP: 'QMARK_AMP'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.QMARK_PIPE: 'QMARK_PIPE'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.HASH_DASH: 'HASH_DASH'>: <function binary_range_parser.<locals>._parse_binary_range>}
DASHED_TABLE_PART_FOLLOW_TOKENS = {<TokenType.DOT: 'DOT'>, <TokenType.L_PAREN: 'L_PAREN'>, <TokenType.R_PAREN: 'R_PAREN'>}
STATEMENT_PARSERS = {<TokenType.ALTER: 'ALTER'>: <function Parser.<lambda>>, <TokenType.ANALYZE: 'ANALYZE'>: <function Parser.<lambda>>, <TokenType.BEGIN: 'BEGIN'>: <function Parser.<lambda>>, <TokenType.CACHE: 'CACHE'>: <function Parser.<lambda>>, <TokenType.COMMENT: 'COMMENT'>: <function Parser.<lambda>>, <TokenType.COMMIT: 'COMMIT'>: <function Parser.<lambda>>, <TokenType.COPY: 'COPY'>: <function Parser.<lambda>>, <TokenType.CREATE: 'CREATE'>: <function Parser.<lambda>>, <TokenType.DELETE: 'DELETE'>: <function Parser.<lambda>>, <TokenType.DESC: 'DESC'>: <function Parser.<lambda>>, <TokenType.DESCRIBE: 'DESCRIBE'>: <function Parser.<lambda>>, <TokenType.DROP: 'DROP'>: <function Parser.<lambda>>, <TokenType.GRANT: 'GRANT'>: <function Parser.<lambda>>, <TokenType.REVOKE: 'REVOKE'>: <function Parser.<lambda>>, <TokenType.INSERT: 'INSERT'>: <function Parser.<lambda>>, <TokenType.KILL: 'KILL'>: <function Parser.<lambda>>, <TokenType.LOAD: 'LOAD'>: <function Parser.<lambda>>, <TokenType.MERGE: 'MERGE'>: <function Parser.<lambda>>, <TokenType.PIVOT: 'PIVOT'>: <function Parser.<lambda>>, <TokenType.PRAGMA: 'PRAGMA'>: <function Parser.<lambda>>, <TokenType.REFRESH: 'REFRESH'>: <function Parser.<lambda>>, <TokenType.ROLLBACK: 'ROLLBACK'>: <function Parser.<lambda>>, <TokenType.SET: 'SET'>: <function Parser.<lambda>>, <TokenType.TRUNCATE: 'TRUNCATE'>: <function Parser.<lambda>>, <TokenType.UNCACHE: 'UNCACHE'>: <function Parser.<lambda>>, <TokenType.UNPIVOT: 'UNPIVOT'>: <function Parser.<lambda>>, <TokenType.UPDATE: 'UPDATE'>: <function Parser.<lambda>>, <TokenType.USE: 'USE'>: <function Parser.<lambda>>, <TokenType.SEMICOLON: 'SEMICOLON'>: <function Parser.<lambda>>, <TokenType.ELSE: 'ELSE'>: <function BigQuery.Parser.<lambda>>, <TokenType.END: 'END'>: <function BigQuery.Parser.<lambda>>, <TokenType.FOR: 'FOR'>: <function BigQuery.Parser.<lambda>>, <TokenType.EXPORT: 'EXPORT'>: <function BigQuery.Parser.<lambda>>, <TokenType.DECLARE: 'DECLARE'>: <function BigQuery.Parser.<lambda>>}
BRACKET_OFFSETS = {'OFFSET': (0, False), 'ORDINAL': (1, False), 'SAFE_OFFSET': (0, True), 'SAFE_ORDINAL': (1, True)}
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
COLON_PLACEHOLDER_TOKENS
ARRAY_CONSTRUCTORS
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
CAST_COLUMN_OPERATORS
EXPRESSION_PARSERS
UNARY_PARSERS
STRING_PARSERS
NUMERIC_PARSERS
PRIMARY_PARSERS
PLACEHOLDER_PARSERS
PIPE_SYNTAX_TRANSFORM_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
QUERY_MODIFIER_TOKENS
SET_PARSERS
SHOW_PARSERS
TYPE_LITERAL_PARSERS
TYPE_CONVERTERS
DDL_SELECT_TOKENS
PRE_VOLATILE_TOKENS
TRANSACTION_KIND
TRANSACTION_CHARACTERISTICS
CONFLICT_ACTIONS
CREATE_SEQUENCE
ISOLATED_LOADING_OPTIONS
USABLES
CAST_ACTIONS
SCHEMA_BINDING_OPTIONS
PROCEDURE_OPTIONS
EXECUTE_AS_OPTIONS
KEY_CONSTRAINT_OPTIONS
WINDOW_EXCLUDE_OPTIONS
INSERT_ALTERNATIVES
CLONE_KEYWORDS
HISTORICAL_DATA_PREFIX
HISTORICAL_DATA_KIND
OPCLASS_FOLLOW_KEYWORDS
OPTYPE_FOLLOW_TOKENS
TABLE_INDEX_HINT_TOKENS
VIEW_ATTRIBUTES
WINDOW_ALIAS_TOKENS
WINDOW_BEFORE_PAREN_TOKENS
WINDOW_SIDES
JSON_KEY_VALUE_SEPARATOR_TOKENS
FETCH_TOKENS
ADD_CONSTRAINT_TOKENS
DISTINCT_TOKENS
UNNEST_OFFSET_ALIAS_TOKENS
SELECT_START_TOKENS
COPY_INTO_VARLEN_OPTIONS
IS_JSON_PREDICATE_KIND
ODBC_DATETIME_LITERALS
ON_CONDITION_TOKENS
PRIVILEGE_FOLLOW_TOKENS
DESCRIBE_STYLES
ANALYZE_STYLES
ANALYZE_EXPRESSION_PARSERS
PARTITION_KEYWORDS
AMBIGUOUS_ALIAS_TOKENS
OPERATION_MODIFIERS
RECURSIVE_CTE_SEARCH_KIND
MODIFIABLES
STRICT_CAST
IDENTIFY_PIVOT_STRINGS
TABLESAMPLE_CSV
DEFAULT_SAMPLING_METHOD
SET_REQUIRES_ASSIGNMENT_DELIMITER
TRIM_PATTERN_FIRST
STRING_ALIASES
MODIFIERS_ATTACHED_TO_SET_OP
SET_OP_MODIFIERS
NO_PAREN_IF_COMMANDS
JSON_ARROWS_REQUIRE_JSON_TYPE
COLON_IS_VARIANT_EXTRACT
VALUES_FOLLOWED_BY_PAREN
INTERVAL_SPANS
SUPPORTS_PARTITION_SELECTION
WRAPPED_TRANSFORM_COLUMN_CONSTRAINT
OPTIONAL_ALIAS_TOKEN_CTE
ALTER_RENAME_REQUIRES_COLUMN
ZONE_AWARE_TIMESTAMP_CONSTRUCTOR
MAP_KEYS_ARE_ARBITRARY_EXPRESSIONS
JSON_EXTRACT_REQUIRES_JSON_EXPRESSION
ADD_JOIN_ON_TRUE
SUPPORTS_OMITTED_INTERVAL_SPAN_UNIT
error_level
error_message_context
max_errors
dialect
reset
parse
parse_into
check_errors
raise_error
expression
validate_expression
parse_set_operation
build_cast
errors
sql
class BigQuery.Generator(sqlglot.generator.Generator):
1240    class Generator(generator.Generator):
1241        INTERVAL_ALLOWS_PLURAL_FORM = False
1242        JOIN_HINTS = False
1243        QUERY_HINTS = False
1244        TABLE_HINTS = False
1245        LIMIT_FETCH = "LIMIT"
1246        RENAME_TABLE_WITH_DB = False
1247        NVL2_SUPPORTED = False
1248        UNNEST_WITH_ORDINALITY = False
1249        COLLATE_IS_FUNC = True
1250        LIMIT_ONLY_LITERALS = True
1251        SUPPORTS_TABLE_ALIAS_COLUMNS = False
1252        UNPIVOT_ALIASES_ARE_IDENTIFIERS = False
1253        JSON_KEY_VALUE_PAIR_SEP = ","
1254        NULL_ORDERING_SUPPORTED = False
1255        IGNORE_NULLS_IN_FUNC = True
1256        JSON_PATH_SINGLE_QUOTE_ESCAPE = True
1257        CAN_IMPLEMENT_ARRAY_ANY = True
1258        SUPPORTS_TO_NUMBER = False
1259        NAMED_PLACEHOLDER_TOKEN = "@"
1260        HEX_FUNC = "TO_HEX"
1261        WITH_PROPERTIES_PREFIX = "OPTIONS"
1262        SUPPORTS_EXPLODING_PROJECTIONS = False
1263        EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE = False
1264        SUPPORTS_UNIX_SECONDS = True
1265
1266        SAFE_JSON_PATH_KEY_RE = re.compile(r"^[_\-a-zA-Z][\-\w]*$")
1267
1268        TS_OR_DS_TYPES = (
1269            exp.TsOrDsToDatetime,
1270            exp.TsOrDsToTimestamp,
1271            exp.TsOrDsToTime,
1272            exp.TsOrDsToDate,
1273        )
1274
1275        TRANSFORMS = {
1276            **generator.Generator.TRANSFORMS,
1277            exp.ApproxTopK: rename_func("APPROX_TOP_COUNT"),
1278            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
1279            exp.ArgMax: arg_max_or_min_no_count("MAX_BY"),
1280            exp.ArgMin: arg_max_or_min_no_count("MIN_BY"),
1281            exp.Array: inline_array_unless_query,
1282            exp.ArrayContains: _array_contains_sql,
1283            exp.ArrayFilter: filter_array_using_unnest,
1284            exp.ArrayRemove: filter_array_using_unnest,
1285            exp.BitwiseAndAgg: rename_func("BIT_AND"),
1286            exp.BitwiseOrAgg: rename_func("BIT_OR"),
1287            exp.BitwiseXorAgg: rename_func("BIT_XOR"),
1288            exp.BitwiseCountAgg: rename_func("BIT_COUNT"),
1289            exp.ByteLength: rename_func("BYTE_LENGTH"),
1290            exp.Cast: transforms.preprocess([transforms.remove_precision_parameterized_types]),
1291            exp.CollateProperty: lambda self, e: (
1292                f"DEFAULT COLLATE {self.sql(e, 'this')}"
1293                if e.args.get("default")
1294                else f"COLLATE {self.sql(e, 'this')}"
1295            ),
1296            exp.Commit: lambda *_: "COMMIT TRANSACTION",
1297            exp.CountIf: rename_func("COUNTIF"),
1298            exp.Create: _create_sql,
1299            exp.CTE: transforms.preprocess([_pushdown_cte_column_names]),
1300            exp.DateAdd: date_add_interval_sql("DATE", "ADD"),
1301            exp.DateDiff: lambda self, e: self.func(
1302                "DATE_DIFF", e.this, e.expression, unit_to_var(e)
1303            ),
1304            exp.DateFromParts: rename_func("DATE"),
1305            exp.DateStrToDate: datestrtodate_sql,
1306            exp.DateSub: date_add_interval_sql("DATE", "SUB"),
1307            exp.DatetimeAdd: date_add_interval_sql("DATETIME", "ADD"),
1308            exp.DatetimeSub: date_add_interval_sql("DATETIME", "SUB"),
1309            exp.DateFromUnixDate: rename_func("DATE_FROM_UNIX_DATE"),
1310            exp.FromTimeZone: lambda self, e: self.func(
1311                "DATETIME", self.func("TIMESTAMP", e.this, e.args.get("zone")), "'UTC'"
1312            ),
1313            exp.GenerateSeries: rename_func("GENERATE_ARRAY"),
1314            exp.GroupConcat: lambda self, e: groupconcat_sql(
1315                self, e, func_name="STRING_AGG", within_group=False
1316            ),
1317            exp.Hex: lambda self, e: self.func("UPPER", self.func("TO_HEX", self.sql(e, "this"))),
1318            exp.HexString: lambda self, e: self.hexstring_sql(e, binary_function_repr="FROM_HEX"),
1319            exp.If: if_sql(false_value="NULL"),
1320            exp.ILike: no_ilike_sql,
1321            exp.IntDiv: rename_func("DIV"),
1322            exp.Int64: rename_func("INT64"),
1323            exp.JSONBool: rename_func("BOOL"),
1324            exp.JSONExtract: _json_extract_sql,
1325            exp.JSONExtractArray: _json_extract_sql,
1326            exp.JSONExtractScalar: _json_extract_sql,
1327            exp.JSONFormat: lambda self, e: self.func(
1328                "TO_JSON" if e.args.get("to_json") else "TO_JSON_STRING",
1329                e.this,
1330                e.args.get("options"),
1331            ),
1332            exp.JSONKeysAtDepth: rename_func("JSON_KEYS"),
1333            exp.JSONValueArray: rename_func("JSON_VALUE_ARRAY"),
1334            exp.Levenshtein: _levenshtein_sql,
1335            exp.Max: max_or_greatest,
1336            exp.MD5: lambda self, e: self.func("TO_HEX", self.func("MD5", e.this)),
1337            exp.MD5Digest: rename_func("MD5"),
1338            exp.Min: min_or_least,
1339            exp.Normalize: lambda self, e: self.func(
1340                "NORMALIZE_AND_CASEFOLD" if e.args.get("is_casefold") else "NORMALIZE",
1341                e.this,
1342                e.args.get("form"),
1343            ),
1344            exp.PartitionedByProperty: lambda self, e: f"PARTITION BY {self.sql(e, 'this')}",
1345            exp.RegexpExtract: lambda self, e: self.func(
1346                "REGEXP_EXTRACT",
1347                e.this,
1348                e.expression,
1349                e.args.get("position"),
1350                e.args.get("occurrence"),
1351            ),
1352            exp.RegexpExtractAll: lambda self, e: self.func(
1353                "REGEXP_EXTRACT_ALL", e.this, e.expression
1354            ),
1355            exp.RegexpReplace: regexp_replace_sql,
1356            exp.RegexpLike: rename_func("REGEXP_CONTAINS"),
1357            exp.ReturnsProperty: _returnsproperty_sql,
1358            exp.Rollback: lambda *_: "ROLLBACK TRANSACTION",
1359            exp.ParseTime: lambda self, e: self.func("PARSE_TIME", self.format_time(e), e.this),
1360            exp.ParseDatetime: lambda self, e: self.func(
1361                "PARSE_DATETIME", self.format_time(e), e.this
1362            ),
1363            exp.Select: transforms.preprocess(
1364                [
1365                    transforms.explode_projection_to_unnest(),
1366                    transforms.unqualify_unnest,
1367                    transforms.eliminate_distinct_on,
1368                    _alias_ordered_group,
1369                    transforms.eliminate_semi_and_anti_joins,
1370                ]
1371            ),
1372            exp.SHA: rename_func("SHA1"),
1373            exp.SHA2: sha256_sql,
1374            exp.StabilityProperty: lambda self, e: (
1375                "DETERMINISTIC" if e.name == "IMMUTABLE" else "NOT DETERMINISTIC"
1376            ),
1377            exp.String: rename_func("STRING"),
1378            exp.StrPosition: lambda self, e: (
1379                strposition_sql(
1380                    self, e, func_name="INSTR", supports_position=True, supports_occurrence=True
1381                )
1382            ),
1383            exp.StrToDate: _str_to_datetime_sql,
1384            exp.StrToTime: _str_to_datetime_sql,
1385            exp.TimeAdd: date_add_interval_sql("TIME", "ADD"),
1386            exp.TimeFromParts: rename_func("TIME"),
1387            exp.TimestampFromParts: rename_func("DATETIME"),
1388            exp.TimeSub: date_add_interval_sql("TIME", "SUB"),
1389            exp.TimestampAdd: date_add_interval_sql("TIMESTAMP", "ADD"),
1390            exp.TimestampDiff: rename_func("TIMESTAMP_DIFF"),
1391            exp.TimestampSub: date_add_interval_sql("TIMESTAMP", "SUB"),
1392            exp.TimeStrToTime: timestrtotime_sql,
1393            exp.Transaction: lambda *_: "BEGIN TRANSACTION",
1394            exp.TsOrDsAdd: _ts_or_ds_add_sql,
1395            exp.TsOrDsDiff: _ts_or_ds_diff_sql,
1396            exp.TsOrDsToTime: rename_func("TIME"),
1397            exp.TsOrDsToDatetime: rename_func("DATETIME"),
1398            exp.TsOrDsToTimestamp: rename_func("TIMESTAMP"),
1399            exp.Unhex: rename_func("FROM_HEX"),
1400            exp.UnixDate: rename_func("UNIX_DATE"),
1401            exp.UnixToTime: _unix_to_time_sql,
1402            exp.Uuid: lambda *_: "GENERATE_UUID()",
1403            exp.Values: _derived_table_values_to_unnest,
1404            exp.VariancePop: rename_func("VAR_POP"),
1405            exp.SafeDivide: rename_func("SAFE_DIVIDE"),
1406        }
1407
1408        SUPPORTED_JSON_PATH_PARTS = {
1409            exp.JSONPathKey,
1410            exp.JSONPathRoot,
1411            exp.JSONPathSubscript,
1412        }
1413
1414        TYPE_MAPPING = {
1415            **generator.Generator.TYPE_MAPPING,
1416            exp.DataType.Type.BIGDECIMAL: "BIGNUMERIC",
1417            exp.DataType.Type.BIGINT: "INT64",
1418            exp.DataType.Type.BINARY: "BYTES",
1419            exp.DataType.Type.BLOB: "BYTES",
1420            exp.DataType.Type.BOOLEAN: "BOOL",
1421            exp.DataType.Type.CHAR: "STRING",
1422            exp.DataType.Type.DECIMAL: "NUMERIC",
1423            exp.DataType.Type.DOUBLE: "FLOAT64",
1424            exp.DataType.Type.FLOAT: "FLOAT64",
1425            exp.DataType.Type.INT: "INT64",
1426            exp.DataType.Type.NCHAR: "STRING",
1427            exp.DataType.Type.NVARCHAR: "STRING",
1428            exp.DataType.Type.SMALLINT: "INT64",
1429            exp.DataType.Type.TEXT: "STRING",
1430            exp.DataType.Type.TIMESTAMP: "DATETIME",
1431            exp.DataType.Type.TIMESTAMPNTZ: "DATETIME",
1432            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
1433            exp.DataType.Type.TIMESTAMPLTZ: "TIMESTAMP",
1434            exp.DataType.Type.TINYINT: "INT64",
1435            exp.DataType.Type.ROWVERSION: "BYTES",
1436            exp.DataType.Type.UUID: "STRING",
1437            exp.DataType.Type.VARBINARY: "BYTES",
1438            exp.DataType.Type.VARCHAR: "STRING",
1439            exp.DataType.Type.VARIANT: "ANY TYPE",
1440        }
1441
1442        PROPERTIES_LOCATION = {
1443            **generator.Generator.PROPERTIES_LOCATION,
1444            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
1445            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
1446        }
1447
1448        # WINDOW comes after QUALIFY
1449        # https://cloud.google.com/bigquery/docs/reference/standard-sql/query-syntax#window_clause
1450        AFTER_HAVING_MODIFIER_TRANSFORMS = {
1451            "qualify": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["qualify"],
1452            "windows": generator.Generator.AFTER_HAVING_MODIFIER_TRANSFORMS["windows"],
1453        }
1454
1455        # from: https://cloud.google.com/bigquery/docs/reference/standard-sql/lexical#reserved_keywords
1456        RESERVED_KEYWORDS = {
1457            "all",
1458            "and",
1459            "any",
1460            "array",
1461            "as",
1462            "asc",
1463            "assert_rows_modified",
1464            "at",
1465            "between",
1466            "by",
1467            "case",
1468            "cast",
1469            "collate",
1470            "contains",
1471            "create",
1472            "cross",
1473            "cube",
1474            "current",
1475            "default",
1476            "define",
1477            "desc",
1478            "distinct",
1479            "else",
1480            "end",
1481            "enum",
1482            "escape",
1483            "except",
1484            "exclude",
1485            "exists",
1486            "extract",
1487            "false",
1488            "fetch",
1489            "following",
1490            "for",
1491            "from",
1492            "full",
1493            "group",
1494            "grouping",
1495            "groups",
1496            "hash",
1497            "having",
1498            "if",
1499            "ignore",
1500            "in",
1501            "inner",
1502            "intersect",
1503            "interval",
1504            "into",
1505            "is",
1506            "join",
1507            "lateral",
1508            "left",
1509            "like",
1510            "limit",
1511            "lookup",
1512            "merge",
1513            "natural",
1514            "new",
1515            "no",
1516            "not",
1517            "null",
1518            "nulls",
1519            "of",
1520            "on",
1521            "or",
1522            "order",
1523            "outer",
1524            "over",
1525            "partition",
1526            "preceding",
1527            "proto",
1528            "qualify",
1529            "range",
1530            "recursive",
1531            "respect",
1532            "right",
1533            "rollup",
1534            "rows",
1535            "select",
1536            "set",
1537            "some",
1538            "struct",
1539            "tablesample",
1540            "then",
1541            "to",
1542            "treat",
1543            "true",
1544            "unbounded",
1545            "union",
1546            "unnest",
1547            "using",
1548            "when",
1549            "where",
1550            "window",
1551            "with",
1552            "within",
1553        }
1554
1555        def datetrunc_sql(self, expression: exp.DateTrunc) -> str:
1556            unit = expression.unit
1557            unit_sql = unit.name if unit.is_string else self.sql(unit)
1558            return self.func("DATE_TRUNC", expression.this, unit_sql, expression.args.get("zone"))
1559
1560        def mod_sql(self, expression: exp.Mod) -> str:
1561            this = expression.this
1562            expr = expression.expression
1563            return self.func(
1564                "MOD",
1565                this.unnest() if isinstance(this, exp.Paren) else this,
1566                expr.unnest() if isinstance(expr, exp.Paren) else expr,
1567            )
1568
1569        def column_parts(self, expression: exp.Column) -> str:
1570            if expression.meta.get("quoted_column"):
1571                # If a column reference is of the form `dataset.table`.name, we need
1572                # to preserve the quoted table path, otherwise the reference breaks
1573                table_parts = ".".join(p.name for p in expression.parts[:-1])
1574                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
1575                return f"{table_path}.{self.sql(expression, 'this')}"
1576
1577            return super().column_parts(expression)
1578
1579        def table_parts(self, expression: exp.Table) -> str:
1580            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
1581            # we need to make sure the correct quoting is used in each case.
1582            #
1583            # For example, if there is a CTE x that clashes with a schema name, then the former will
1584            # return the table y in that schema, whereas the latter will return the CTE's y column:
1585            #
1586            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
1587            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
1588            if expression.meta.get("quoted_table"):
1589                table_parts = ".".join(p.name for p in expression.parts)
1590                return self.sql(exp.Identifier(this=table_parts, quoted=True))
1591
1592            return super().table_parts(expression)
1593
1594        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
1595            this = expression.this
1596            if isinstance(this, exp.TsOrDsToDatetime):
1597                func_name = "FORMAT_DATETIME"
1598            elif isinstance(this, exp.TsOrDsToTimestamp):
1599                func_name = "FORMAT_TIMESTAMP"
1600            elif isinstance(this, exp.TsOrDsToTime):
1601                func_name = "FORMAT_TIME"
1602            else:
1603                func_name = "FORMAT_DATE"
1604
1605            time_expr = this if isinstance(this, self.TS_OR_DS_TYPES) else expression
1606            return self.func(
1607                func_name, self.format_time(expression), time_expr.this, expression.args.get("zone")
1608            )
1609
1610        def eq_sql(self, expression: exp.EQ) -> str:
1611            # Operands of = cannot be NULL in BigQuery
1612            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
1613                if not isinstance(expression.parent, exp.Update):
1614                    return "NULL"
1615
1616            return self.binary(expression, "=")
1617
1618        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
1619            parent = expression.parent
1620
1621            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
1622            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
1623            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
1624                return self.func(
1625                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
1626                )
1627
1628            return super().attimezone_sql(expression)
1629
1630        def trycast_sql(self, expression: exp.TryCast) -> str:
1631            return self.cast_sql(expression, safe_prefix="SAFE_")
1632
1633        def bracket_sql(self, expression: exp.Bracket) -> str:
1634            this = expression.this
1635            expressions = expression.expressions
1636
1637            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
1638                arg = expressions[0]
1639                if arg.type is None:
1640                    from sqlglot.optimizer.annotate_types import annotate_types
1641
1642                    arg = annotate_types(arg, dialect=self.dialect)
1643
1644                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
1645                    # BQ doesn't support bracket syntax with string values for structs
1646                    return f"{self.sql(this)}.{arg.name}"
1647
1648            expressions_sql = self.expressions(expression, flat=True)
1649            offset = expression.args.get("offset")
1650
1651            if offset == 0:
1652                expressions_sql = f"OFFSET({expressions_sql})"
1653            elif offset == 1:
1654                expressions_sql = f"ORDINAL({expressions_sql})"
1655            elif offset is not None:
1656                self.unsupported(f"Unsupported array offset: {offset}")
1657
1658            if expression.args.get("safe"):
1659                expressions_sql = f"SAFE_{expressions_sql}"
1660
1661            return f"{self.sql(this)}[{expressions_sql}]"
1662
1663        def in_unnest_op(self, expression: exp.Unnest) -> str:
1664            return self.sql(expression)
1665
1666        def version_sql(self, expression: exp.Version) -> str:
1667            if expression.name == "TIMESTAMP":
1668                expression.set("this", "SYSTEM_TIME")
1669            return super().version_sql(expression)
1670
1671        def contains_sql(self, expression: exp.Contains) -> str:
1672            this = expression.this
1673            expr = expression.expression
1674
1675            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
1676                this = this.this
1677                expr = expr.this
1678
1679            return self.func("CONTAINS_SUBSTR", this, expr, expression.args.get("json_scope"))
1680
1681        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
1682            this = expression.this
1683
1684            # This ensures that inline type-annotated ARRAY literals like ARRAY<INT64>[1, 2, 3]
1685            # are roundtripped unaffected. The inner check excludes ARRAY(SELECT ...) expressions,
1686            # because they aren't literals and so the above syntax is invalid BigQuery.
1687            if isinstance(this, exp.Array):
1688                elem = seq_get(this.expressions, 0)
1689                if not (elem and elem.find(exp.Query)):
1690                    return f"{self.sql(expression, 'to')}{self.sql(this)}"
1691
1692            return super().cast_sql(expression, safe_prefix=safe_prefix)
1693
1694        def declareitem_sql(self, expression: exp.DeclareItem) -> str:
1695            variables = self.expressions(expression, "this")
1696            default = self.sql(expression, "default")
1697            default = f" DEFAULT {default}" if default else ""
1698            kind = self.sql(expression, "kind")
1699            kind = f" {kind}" if kind else ""
1700
1701            return f"{variables}{kind}{default}"

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
SAFE_JSON_PATH_KEY_RE = re.compile('^[_\\-a-zA-Z][\\-\\w]*$')
TRANSFORMS = {<class 'sqlglot.expressions.JSONPathKey'>: <function <lambda>>, <class 'sqlglot.expressions.JSONPathRoot'>: <function <lambda>>, <class 'sqlglot.expressions.JSONPathSubscript'>: <function <lambda>>, <class 'sqlglot.expressions.AllowedValuesProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.AnalyzeColumns'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.AnalyzeWith'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ArrayContainsAll'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ArrayOverlaps'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.AutoRefreshProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.BackupProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CaseSpecificColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Ceil'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CharacterSetColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CharacterSetProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ClusteredColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CollateColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CommentColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ConnectByRoot'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ConvertToCharset'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CopyGrantsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CredentialsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DateFormatColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DefaultColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DynamicProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EmptyProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EncodeColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EnviromentProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EphemeralColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExcludeColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExecuteAsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Except'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExternalProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Floor'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Get'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.GlobalProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.HeapProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.IcebergProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InheritsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InlineLengthColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InputModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Intersect'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.IntervalSpan'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Int64'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONBContainsAnyTopKeys'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.JSONBContainsAllTopKeys'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.JSONBDeleteAtPath'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.LanguageProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.LocationProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.LogProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.MaterializedProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.NonClusteredColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.NoPrimaryIndexProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.NotForReplicationColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnCommitProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnUpdateColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Operator'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OutputModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PathColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PartitionedByBucket'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PartitionByTruncate'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PivotAny'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PositionalColumn'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ProjectionPolicyColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Put'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.RemoteWithConnectionModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ReturnsProperty'>: <function _returnsproperty_sql>, <class 'sqlglot.expressions.SampleProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SecureProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SecurityProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SetConfigProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SetProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SettingsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SharingProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SqlReadWriteProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SqlSecurityProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StabilityProperty'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.Stream'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StreamingTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StrictProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SwapTable'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TableColumn'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Tags'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TemporaryProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TitleColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ToMap'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ToTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TransformModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TransientProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Union'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UnloggedProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UsingTemplateProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UsingData'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Uuid'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.UppercaseColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UtcDate'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UtcTime'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UtcTimestamp'>: <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.WeekStart'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithJournalTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithProcedureOptions'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithSchemaBindingProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithOperator'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ForceProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ApproxTopK'>: <function rename_func.<locals>.<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.ArrayRemove'>: <function filter_array_using_unnest>, <class 'sqlglot.expressions.BitwiseAndAgg'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.BitwiseOrAgg'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.BitwiseXorAgg'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.BitwiseCountAgg'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.ByteLength'>: <function rename_func.<locals>.<lambda>>, <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.DateFromUnixDate'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.FromTimeZone'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.GenerateSeries'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.GroupConcat'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.Hex'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.HexString'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.If'>: <function if_sql.<locals>._if_sql>, <class 'sqlglot.expressions.ILike'>: <function no_ilike_sql>, <class 'sqlglot.expressions.IntDiv'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONBool'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONExtract'>: <function _json_extract_sql>, <class 'sqlglot.expressions.JSONExtractArray'>: <function _json_extract_sql>, <class 'sqlglot.expressions.JSONExtractScalar'>: <function _json_extract_sql>, <class 'sqlglot.expressions.JSONFormat'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.JSONKeysAtDepth'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONValueArray'>: <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.Normalize'>: <function BigQuery.Generator.<lambda>>, <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.ParseTime'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.ParseDatetime'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.Select'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.SHA'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.SHA2'>: <function sha256_sql>, <class 'sqlglot.expressions.String'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.StrPosition'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.StrToDate'>: <function _str_to_datetime_sql>, <class 'sqlglot.expressions.StrToTime'>: <function _str_to_datetime_sql>, <class 'sqlglot.expressions.TimeAdd'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.TimeFromParts'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampFromParts'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeSub'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.TimestampAdd'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.TimestampDiff'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampSub'>: <function date_add_interval_sql.<locals>.func>, <class 'sqlglot.expressions.TimeStrToTime'>: <function timestrtotime_sql>, <class 'sqlglot.expressions.Transaction'>: <function BigQuery.Generator.<lambda>>, <class 'sqlglot.expressions.TsOrDsAdd'>: <function _ts_or_ds_add_sql>, <class 'sqlglot.expressions.TsOrDsDiff'>: <function _ts_or_ds_diff_sql>, <class 'sqlglot.expressions.TsOrDsToTime'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDatetime'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDsToTimestamp'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Unhex'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixDate'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTime'>: <function _unix_to_time_sql>, <class 'sqlglot.expressions.Values'>: <function _derived_table_values_to_unnest>, <class 'sqlglot.expressions.VariancePop'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.SafeDivide'>: <function rename_func.<locals>.<lambda>>}
TYPE_MAPPING = {<Type.DATETIME2: 'DATETIME2'>: 'TIMESTAMP', <Type.NCHAR: 'NCHAR'>: 'STRING', <Type.NVARCHAR: 'NVARCHAR'>: 'STRING', <Type.MEDIUMTEXT: 'MEDIUMTEXT'>: 'TEXT', <Type.LONGTEXT: 'LONGTEXT'>: 'TEXT', <Type.TINYTEXT: 'TINYTEXT'>: 'TEXT', <Type.BLOB: 'BLOB'>: 'BYTES', <Type.MEDIUMBLOB: 'MEDIUMBLOB'>: 'BLOB', <Type.LONGBLOB: 'LONGBLOB'>: 'BLOB', <Type.TINYBLOB: 'TINYBLOB'>: 'BLOB', <Type.INET: 'INET'>: 'INET', <Type.ROWVERSION: 'ROWVERSION'>: 'BYTES', <Type.SMALLDATETIME: 'SMALLDATETIME'>: 'TIMESTAMP', <Type.BIGDECIMAL: 'BIGDECIMAL'>: 'BIGNUMERIC', <Type.BIGINT: 'BIGINT'>: 'INT64', <Type.BINARY: 'BINARY'>: 'BYTES', <Type.BOOLEAN: 'BOOLEAN'>: 'BOOL', <Type.CHAR: 'CHAR'>: 'STRING', <Type.DECIMAL: 'DECIMAL'>: 'NUMERIC', <Type.DOUBLE: 'DOUBLE'>: 'FLOAT64', <Type.FLOAT: 'FLOAT'>: 'FLOAT64', <Type.INT: 'INT'>: 'INT64', <Type.SMALLINT: 'SMALLINT'>: 'INT64', <Type.TEXT: 'TEXT'>: 'STRING', <Type.TIMESTAMP: 'TIMESTAMP'>: 'DATETIME', <Type.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>: 'DATETIME', <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>: 'TIMESTAMP', <Type.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>: 'TIMESTAMP', <Type.TINYINT: 'TINYINT'>: 'INT64', <Type.UUID: 'UUID'>: 'STRING', <Type.VARBINARY: 'VARBINARY'>: 'BYTES', <Type.VARCHAR: 'VARCHAR'>: 'STRING', <Type.VARIANT: 'VARIANT'>: 'ANY TYPE'}
PROPERTIES_LOCATION = {<class 'sqlglot.expressions.AllowedValuesProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.AlgorithmProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.AutoIncrementProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.AutoRefreshProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.BackupProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.BlockCompressionProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.CharacterSetProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ChecksumProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.CollateProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.CopyGrantsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Cluster'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ClusteredByProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DistributedByProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DuplicateKeyProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DataBlocksizeProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.DataDeletionProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DefinerProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.DictRange'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DictProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DynamicProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.DistKeyProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DistStyleProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.EmptyProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.EncodeProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.EngineProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.EnviromentProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ExecuteAsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ExternalProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.FallbackProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.FileFormatProperty'>: <Location.POST_WITH: 'POST_WITH'>, <class 'sqlglot.expressions.FreespaceProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.GlobalProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.HeapProperty'>: <Location.POST_WITH: 'POST_WITH'>, <class 'sqlglot.expressions.InheritsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.IcebergProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.IncludeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.InputModelProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.IsolatedLoadingProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.JournalProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.LanguageProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LikeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LocationProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LockProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LockingProperty'>: <Location.POST_ALIAS: 'POST_ALIAS'>, <class 'sqlglot.expressions.LogProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.MaterializedProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.MergeBlockRatioProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.NoPrimaryIndexProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.OnProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.OnCommitProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.Order'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.OutputModelProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.PartitionedByProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.PartitionedOfProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.PrimaryKey'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Property'>: <Location.POST_WITH: 'POST_WITH'>, <class 'sqlglot.expressions.RemoteWithConnectionModelProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ReturnsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.RowFormatProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.RowFormatDelimitedProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.RowFormatSerdeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SampleProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SchemaCommentProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SecureProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.SecurityProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SerdeProperties'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Set'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SettingsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SetProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.SetConfigProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SharingProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.SequenceProperties'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.SortKeyProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SqlReadWriteProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SqlSecurityProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.StabilityProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.StorageHandlerProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.StreamingTableProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.StrictProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Tags'>: <Location.POST_WITH: 'POST_WITH'>, <class 'sqlglot.expressions.TemporaryProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.ToTableProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.TransientProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.TransformModelProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.MergeTreeTTL'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.UnloggedProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.UsingTemplateProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ViewAttributeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.VolatileProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.WithDataProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.WithJournalTableProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.WithProcedureOptions'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.WithSchemaBindingProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.WithSystemVersioningProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ForceProperty'>: <Location.POST_CREATE: 'POST_CREATE'>}
AFTER_HAVING_MODIFIER_TRANSFORMS = {'qualify': <function Generator.<lambda>>, 'windows': <function Generator.<lambda>>}
RESERVED_KEYWORDS = {'like', 'true', 'struct', 'cross', 'set', 'ignore', 'enum', 'and', 'with', 'at', 'from', 'union', 'exclude', 'collate', 'right', 'following', 'outer', 'current', 'where', 'cube', 'within', 'by', 'intersect', 'is', 'hash', 'when', 'escape', 'create', 'having', 'assert_rows_modified', 'all', 'false', 'null', 'window', 'join', 'array', 'new', 'to', 'proto', 'inner', 'lookup', 'left', 'cast', 'interval', 'default', 'fetch', 'qualify', 'group', 'grouping', 'as', 'case', 'if', 'in', 'limit', 'recursive', 'range', 'over', 'partition', 'unbounded', 'else', 'lateral', 'natural', 'of', 'extract', 'order', 'contains', 'exists', 'into', 'no', 'for', 'rollup', 'then', 'nulls', 'rows', 'preceding', 'some', 'or', 'groups', 'any', 'except', 'using', 'distinct', 'asc', 'treat', 'full', 'respect', 'merge', 'between', 'end', 'not', 'select', 'desc', 'on', 'unnest', 'tablesample', 'define'}
def datetrunc_sql(self, expression: sqlglot.expressions.DateTrunc) -> str:
1555        def datetrunc_sql(self, expression: exp.DateTrunc) -> str:
1556            unit = expression.unit
1557            unit_sql = unit.name if unit.is_string else self.sql(unit)
1558            return self.func("DATE_TRUNC", expression.this, unit_sql, expression.args.get("zone"))
def mod_sql(self, expression: sqlglot.expressions.Mod) -> str:
1560        def mod_sql(self, expression: exp.Mod) -> str:
1561            this = expression.this
1562            expr = expression.expression
1563            return self.func(
1564                "MOD",
1565                this.unnest() if isinstance(this, exp.Paren) else this,
1566                expr.unnest() if isinstance(expr, exp.Paren) else expr,
1567            )
def column_parts(self, expression: sqlglot.expressions.Column) -> str:
1569        def column_parts(self, expression: exp.Column) -> str:
1570            if expression.meta.get("quoted_column"):
1571                # If a column reference is of the form `dataset.table`.name, we need
1572                # to preserve the quoted table path, otherwise the reference breaks
1573                table_parts = ".".join(p.name for p in expression.parts[:-1])
1574                table_path = self.sql(exp.Identifier(this=table_parts, quoted=True))
1575                return f"{table_path}.{self.sql(expression, 'this')}"
1576
1577            return super().column_parts(expression)
def table_parts(self, expression: sqlglot.expressions.Table) -> str:
1579        def table_parts(self, expression: exp.Table) -> str:
1580            # Depending on the context, `x.y` may not resolve to the same data source as `x`.`y`, so
1581            # we need to make sure the correct quoting is used in each case.
1582            #
1583            # For example, if there is a CTE x that clashes with a schema name, then the former will
1584            # return the table y in that schema, whereas the latter will return the CTE's y column:
1585            #
1586            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x.y`   -> cross join
1587            # - WITH x AS (SELECT [1, 2] AS y) SELECT * FROM x, `x`.`y` -> implicit unnest
1588            if expression.meta.get("quoted_table"):
1589                table_parts = ".".join(p.name for p in expression.parts)
1590                return self.sql(exp.Identifier(this=table_parts, quoted=True))
1591
1592            return super().table_parts(expression)
def timetostr_sql(self, expression: sqlglot.expressions.TimeToStr) -> str:
1594        def timetostr_sql(self, expression: exp.TimeToStr) -> str:
1595            this = expression.this
1596            if isinstance(this, exp.TsOrDsToDatetime):
1597                func_name = "FORMAT_DATETIME"
1598            elif isinstance(this, exp.TsOrDsToTimestamp):
1599                func_name = "FORMAT_TIMESTAMP"
1600            elif isinstance(this, exp.TsOrDsToTime):
1601                func_name = "FORMAT_TIME"
1602            else:
1603                func_name = "FORMAT_DATE"
1604
1605            time_expr = this if isinstance(this, self.TS_OR_DS_TYPES) else expression
1606            return self.func(
1607                func_name, self.format_time(expression), time_expr.this, expression.args.get("zone")
1608            )
def eq_sql(self, expression: sqlglot.expressions.EQ) -> str:
1610        def eq_sql(self, expression: exp.EQ) -> str:
1611            # Operands of = cannot be NULL in BigQuery
1612            if isinstance(expression.left, exp.Null) or isinstance(expression.right, exp.Null):
1613                if not isinstance(expression.parent, exp.Update):
1614                    return "NULL"
1615
1616            return self.binary(expression, "=")
def attimezone_sql(self, expression: sqlglot.expressions.AtTimeZone) -> str:
1618        def attimezone_sql(self, expression: exp.AtTimeZone) -> str:
1619            parent = expression.parent
1620
1621            # BigQuery allows CAST(.. AS {STRING|TIMESTAMP} [FORMAT <fmt> [AT TIME ZONE <tz>]]).
1622            # Only the TIMESTAMP one should use the below conversion, when AT TIME ZONE is included.
1623            if not isinstance(parent, exp.Cast) or not parent.to.is_type("text"):
1624                return self.func(
1625                    "TIMESTAMP", self.func("DATETIME", expression.this, expression.args.get("zone"))
1626                )
1627
1628            return super().attimezone_sql(expression)
def trycast_sql(self, expression: sqlglot.expressions.TryCast) -> str:
1630        def trycast_sql(self, expression: exp.TryCast) -> str:
1631            return self.cast_sql(expression, safe_prefix="SAFE_")
def bracket_sql(self, expression: sqlglot.expressions.Bracket) -> str:
1633        def bracket_sql(self, expression: exp.Bracket) -> str:
1634            this = expression.this
1635            expressions = expression.expressions
1636
1637            if len(expressions) == 1 and this and this.is_type(exp.DataType.Type.STRUCT):
1638                arg = expressions[0]
1639                if arg.type is None:
1640                    from sqlglot.optimizer.annotate_types import annotate_types
1641
1642                    arg = annotate_types(arg, dialect=self.dialect)
1643
1644                if arg.type and arg.type.this in exp.DataType.TEXT_TYPES:
1645                    # BQ doesn't support bracket syntax with string values for structs
1646                    return f"{self.sql(this)}.{arg.name}"
1647
1648            expressions_sql = self.expressions(expression, flat=True)
1649            offset = expression.args.get("offset")
1650
1651            if offset == 0:
1652                expressions_sql = f"OFFSET({expressions_sql})"
1653            elif offset == 1:
1654                expressions_sql = f"ORDINAL({expressions_sql})"
1655            elif offset is not None:
1656                self.unsupported(f"Unsupported array offset: {offset}")
1657
1658            if expression.args.get("safe"):
1659                expressions_sql = f"SAFE_{expressions_sql}"
1660
1661            return f"{self.sql(this)}[{expressions_sql}]"
def in_unnest_op(self, expression: sqlglot.expressions.Unnest) -> str:
1663        def in_unnest_op(self, expression: exp.Unnest) -> str:
1664            return self.sql(expression)
def version_sql(self, expression: sqlglot.expressions.Version) -> str:
1666        def version_sql(self, expression: exp.Version) -> str:
1667            if expression.name == "TIMESTAMP":
1668                expression.set("this", "SYSTEM_TIME")
1669            return super().version_sql(expression)
def contains_sql(self, expression: sqlglot.expressions.Contains) -> str:
1671        def contains_sql(self, expression: exp.Contains) -> str:
1672            this = expression.this
1673            expr = expression.expression
1674
1675            if isinstance(this, exp.Lower) and isinstance(expr, exp.Lower):
1676                this = this.this
1677                expr = expr.this
1678
1679            return self.func("CONTAINS_SUBSTR", this, expr, expression.args.get("json_scope"))
def cast_sql( self, expression: sqlglot.expressions.Cast, safe_prefix: Optional[str] = None) -> str:
1681        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
1682            this = expression.this
1683
1684            # This ensures that inline type-annotated ARRAY literals like ARRAY<INT64>[1, 2, 3]
1685            # are roundtripped unaffected. The inner check excludes ARRAY(SELECT ...) expressions,
1686            # because they aren't literals and so the above syntax is invalid BigQuery.
1687            if isinstance(this, exp.Array):
1688                elem = seq_get(this.expressions, 0)
1689                if not (elem and elem.find(exp.Query)):
1690                    return f"{self.sql(expression, 'to')}{self.sql(this)}"
1691
1692            return super().cast_sql(expression, safe_prefix=safe_prefix)
def declareitem_sql(self, expression: sqlglot.expressions.DeclareItem) -> str:
1694        def declareitem_sql(self, expression: exp.DeclareItem) -> str:
1695            variables = self.expressions(expression, "this")
1696            default = self.sql(expression, "default")
1697            default = f" DEFAULT {default}" if default else ""
1698            kind = self.sql(expression, "kind")
1699            kind = f" {kind}" if kind else ""
1700
1701            return f"{variables}{kind}{default}"
TRY_SUPPORTED = False
SUPPORTS_UESCAPE = False
SUPPORTS_DECODE_CASE = 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
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