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sqlglot.dialects.duckdb

   1from __future__ import annotations
   2
   3import typing as t
   4
   5from sqlglot import exp, generator, parser, tokens, transforms
   6from sqlglot.expressions import DATA_TYPE
   7from sqlglot.dialects.dialect import (
   8    Dialect,
   9    JSON_EXTRACT_TYPE,
  10    NormalizationStrategy,
  11    Version,
  12    approx_count_distinct_sql,
  13    arrow_json_extract_sql,
  14    binary_from_function,
  15    bool_xor_sql,
  16    build_default_decimal_type,
  17    count_if_to_sum,
  18    date_trunc_to_time,
  19    datestrtodate_sql,
  20    no_datetime_sql,
  21    encode_decode_sql,
  22    build_formatted_time,
  23    inline_array_unless_query,
  24    no_comment_column_constraint_sql,
  25    no_time_sql,
  26    no_timestamp_sql,
  27    pivot_column_names,
  28    rename_func,
  29    strposition_sql,
  30    str_to_time_sql,
  31    timestamptrunc_sql,
  32    timestrtotime_sql,
  33    unit_to_var,
  34    unit_to_str,
  35    sha256_sql,
  36    build_regexp_extract,
  37    explode_to_unnest_sql,
  38    no_make_interval_sql,
  39    groupconcat_sql,
  40)
  41from sqlglot.generator import unsupported_args
  42from sqlglot.helper import seq_get
  43from sqlglot.tokens import TokenType
  44from sqlglot.parser import binary_range_parser
  45
  46DATETIME_DELTA = t.Union[
  47    exp.DateAdd, exp.TimeAdd, exp.DatetimeAdd, exp.TsOrDsAdd, exp.DateSub, exp.DatetimeSub
  48]
  49
  50WINDOW_FUNCS_WITH_IGNORE_NULLS = (
  51    exp.FirstValue,
  52    exp.LastValue,
  53    exp.Lag,
  54    exp.Lead,
  55    exp.NthValue,
  56)
  57
  58
  59def _date_delta_sql(self: DuckDB.Generator, expression: DATETIME_DELTA) -> str:
  60    this = expression.this
  61    unit = unit_to_var(expression)
  62    op = (
  63        "+"
  64        if isinstance(expression, (exp.DateAdd, exp.TimeAdd, exp.DatetimeAdd, exp.TsOrDsAdd))
  65        else "-"
  66    )
  67
  68    to_type: t.Optional[DATA_TYPE] = None
  69    if isinstance(expression, exp.TsOrDsAdd):
  70        to_type = expression.return_type
  71    elif this.is_string:
  72        # Cast string literals (i.e function parameters) to the appropriate type for +/- interval to work
  73        to_type = (
  74            exp.DataType.Type.DATETIME
  75            if isinstance(expression, (exp.DatetimeAdd, exp.DatetimeSub))
  76            else exp.DataType.Type.DATE
  77        )
  78
  79    this = exp.cast(this, to_type) if to_type else this
  80
  81    expr = expression.expression
  82    interval = expr if isinstance(expr, exp.Interval) else exp.Interval(this=expr, unit=unit)
  83
  84    return f"{self.sql(this)} {op} {self.sql(interval)}"
  85
  86
  87# BigQuery -> DuckDB conversion for the DATE function
  88def _date_sql(self: DuckDB.Generator, expression: exp.Date) -> str:
  89    result = f"CAST({self.sql(expression, 'this')} AS DATE)"
  90    zone = self.sql(expression, "zone")
  91
  92    if zone:
  93        date_str = self.func("STRFTIME", result, "'%d/%m/%Y'")
  94        date_str = f"{date_str} || ' ' || {zone}"
  95
  96        # This will create a TIMESTAMP with time zone information
  97        result = self.func("STRPTIME", date_str, "'%d/%m/%Y %Z'")
  98
  99    return result
 100
 101
 102# BigQuery -> DuckDB conversion for the TIME_DIFF function
 103def _timediff_sql(self: DuckDB.Generator, expression: exp.TimeDiff) -> str:
 104    this = exp.cast(expression.this, exp.DataType.Type.TIME)
 105    expr = exp.cast(expression.expression, exp.DataType.Type.TIME)
 106
 107    # Although the 2 dialects share similar signatures, BQ seems to inverse
 108    # the sign of the result so the start/end time operands are flipped
 109    return self.func("DATE_DIFF", unit_to_str(expression), expr, this)
 110
 111
 112@unsupported_args(("expression", "DuckDB's ARRAY_SORT does not support a comparator."))
 113def _array_sort_sql(self: DuckDB.Generator, expression: exp.ArraySort) -> str:
 114    return self.func("ARRAY_SORT", expression.this)
 115
 116
 117def _sort_array_sql(self: DuckDB.Generator, expression: exp.SortArray) -> str:
 118    name = "ARRAY_REVERSE_SORT" if expression.args.get("asc") == exp.false() else "ARRAY_SORT"
 119    return self.func(name, expression.this)
 120
 121
 122def _build_sort_array_desc(args: t.List) -> exp.Expression:
 123    return exp.SortArray(this=seq_get(args, 0), asc=exp.false())
 124
 125
 126def _build_date_diff(args: t.List) -> exp.Expression:
 127    return exp.DateDiff(this=seq_get(args, 2), expression=seq_get(args, 1), unit=seq_get(args, 0))
 128
 129
 130def _build_generate_series(end_exclusive: bool = False) -> t.Callable[[t.List], exp.GenerateSeries]:
 131    def _builder(args: t.List) -> exp.GenerateSeries:
 132        # Check https://duckdb.org/docs/sql/functions/nested.html#range-functions
 133        if len(args) == 1:
 134            # DuckDB uses 0 as a default for the series' start when it's omitted
 135            args.insert(0, exp.Literal.number("0"))
 136
 137        gen_series = exp.GenerateSeries.from_arg_list(args)
 138        gen_series.set("is_end_exclusive", end_exclusive)
 139
 140        return gen_series
 141
 142    return _builder
 143
 144
 145def _build_make_timestamp(args: t.List) -> exp.Expression:
 146    if len(args) == 1:
 147        return exp.UnixToTime(this=seq_get(args, 0), scale=exp.UnixToTime.MICROS)
 148
 149    return exp.TimestampFromParts(
 150        year=seq_get(args, 0),
 151        month=seq_get(args, 1),
 152        day=seq_get(args, 2),
 153        hour=seq_get(args, 3),
 154        min=seq_get(args, 4),
 155        sec=seq_get(args, 5),
 156    )
 157
 158
 159def _show_parser(*args: t.Any, **kwargs: t.Any) -> t.Callable[[DuckDB.Parser], exp.Show]:
 160    def _parse(self: DuckDB.Parser) -> exp.Show:
 161        return self._parse_show_duckdb(*args, **kwargs)
 162
 163    return _parse
 164
 165
 166def _struct_sql(self: DuckDB.Generator, expression: exp.Struct) -> str:
 167    args: t.List[str] = []
 168
 169    # BigQuery allows inline construction such as "STRUCT<a STRING, b INTEGER>('str', 1)" which is
 170    # canonicalized to "ROW('str', 1) AS STRUCT(a TEXT, b INT)" in DuckDB
 171    # The transformation to ROW will take place if:
 172    #  1. The STRUCT itself does not have proper fields (key := value) as a "proper" STRUCT would
 173    #  2. A cast to STRUCT / ARRAY of STRUCTs is found
 174    ancestor_cast = expression.find_ancestor(exp.Cast)
 175    is_bq_inline_struct = (
 176        (expression.find(exp.PropertyEQ) is None)
 177        and ancestor_cast
 178        and any(
 179            casted_type.is_type(exp.DataType.Type.STRUCT)
 180            for casted_type in ancestor_cast.find_all(exp.DataType)
 181        )
 182    )
 183
 184    for i, expr in enumerate(expression.expressions):
 185        is_property_eq = isinstance(expr, exp.PropertyEQ)
 186        value = expr.expression if is_property_eq else expr
 187
 188        if is_bq_inline_struct:
 189            args.append(self.sql(value))
 190        else:
 191            key = expr.name if is_property_eq else f"_{i}"
 192            args.append(f"{self.sql(exp.Literal.string(key))}: {self.sql(value)}")
 193
 194    csv_args = ", ".join(args)
 195
 196    return f"ROW({csv_args})" if is_bq_inline_struct else f"{{{csv_args}}}"
 197
 198
 199def _datatype_sql(self: DuckDB.Generator, expression: exp.DataType) -> str:
 200    if expression.is_type("array"):
 201        return f"{self.expressions(expression, flat=True)}[{self.expressions(expression, key='values', flat=True)}]"
 202
 203    # Modifiers are not supported for TIME, [TIME | TIMESTAMP] WITH TIME ZONE
 204    if expression.is_type(
 205        exp.DataType.Type.TIME, exp.DataType.Type.TIMETZ, exp.DataType.Type.TIMESTAMPTZ
 206    ):
 207        return expression.this.value
 208
 209    return self.datatype_sql(expression)
 210
 211
 212def _json_format_sql(self: DuckDB.Generator, expression: exp.JSONFormat) -> str:
 213    sql = self.func("TO_JSON", expression.this, expression.args.get("options"))
 214    return f"CAST({sql} AS TEXT)"
 215
 216
 217def _unix_to_time_sql(self: DuckDB.Generator, expression: exp.UnixToTime) -> str:
 218    scale = expression.args.get("scale")
 219    timestamp = expression.this
 220
 221    if scale in (None, exp.UnixToTime.SECONDS):
 222        return self.func("TO_TIMESTAMP", timestamp)
 223    if scale == exp.UnixToTime.MILLIS:
 224        return self.func("EPOCH_MS", timestamp)
 225    if scale == exp.UnixToTime.MICROS:
 226        return self.func("MAKE_TIMESTAMP", timestamp)
 227
 228    return self.func("TO_TIMESTAMP", exp.Div(this=timestamp, expression=exp.func("POW", 10, scale)))
 229
 230
 231WRAPPED_JSON_EXTRACT_EXPRESSIONS = (exp.Binary, exp.Bracket, exp.In)
 232
 233
 234def _arrow_json_extract_sql(self: DuckDB.Generator, expression: JSON_EXTRACT_TYPE) -> str:
 235    arrow_sql = arrow_json_extract_sql(self, expression)
 236    if not expression.same_parent and isinstance(
 237        expression.parent, WRAPPED_JSON_EXTRACT_EXPRESSIONS
 238    ):
 239        arrow_sql = self.wrap(arrow_sql)
 240    return arrow_sql
 241
 242
 243def _implicit_datetime_cast(
 244    arg: t.Optional[exp.Expression], type: exp.DataType.Type = exp.DataType.Type.DATE
 245) -> t.Optional[exp.Expression]:
 246    return exp.cast(arg, type) if isinstance(arg, exp.Literal) else arg
 247
 248
 249def _date_diff_sql(self: DuckDB.Generator, expression: exp.DateDiff) -> str:
 250    this = _implicit_datetime_cast(expression.this)
 251    expr = _implicit_datetime_cast(expression.expression)
 252
 253    return self.func("DATE_DIFF", unit_to_str(expression), expr, this)
 254
 255
 256def _generate_datetime_array_sql(
 257    self: DuckDB.Generator, expression: t.Union[exp.GenerateDateArray, exp.GenerateTimestampArray]
 258) -> str:
 259    is_generate_date_array = isinstance(expression, exp.GenerateDateArray)
 260
 261    type = exp.DataType.Type.DATE if is_generate_date_array else exp.DataType.Type.TIMESTAMP
 262    start = _implicit_datetime_cast(expression.args.get("start"), type=type)
 263    end = _implicit_datetime_cast(expression.args.get("end"), type=type)
 264
 265    # BQ's GENERATE_DATE_ARRAY & GENERATE_TIMESTAMP_ARRAY are transformed to DuckDB'S GENERATE_SERIES
 266    gen_series: t.Union[exp.GenerateSeries, exp.Cast] = exp.GenerateSeries(
 267        start=start, end=end, step=expression.args.get("step")
 268    )
 269
 270    if is_generate_date_array:
 271        # The GENERATE_SERIES result type is TIMESTAMP array, so to match BQ's semantics for
 272        # GENERATE_DATE_ARRAY we must cast it back to DATE array
 273        gen_series = exp.cast(gen_series, exp.DataType.build("ARRAY<DATE>"))
 274
 275    return self.sql(gen_series)
 276
 277
 278def _json_extract_value_array_sql(
 279    self: DuckDB.Generator, expression: exp.JSONValueArray | exp.JSONExtractArray
 280) -> str:
 281    json_extract = exp.JSONExtract(this=expression.this, expression=expression.expression)
 282    data_type = "ARRAY<STRING>" if isinstance(expression, exp.JSONValueArray) else "ARRAY<JSON>"
 283    return self.sql(exp.cast(json_extract, to=exp.DataType.build(data_type)))
 284
 285
 286class DuckDB(Dialect):
 287    NULL_ORDERING = "nulls_are_last"
 288    SUPPORTS_USER_DEFINED_TYPES = True
 289    SAFE_DIVISION = True
 290    INDEX_OFFSET = 1
 291    CONCAT_COALESCE = True
 292    SUPPORTS_ORDER_BY_ALL = True
 293    SUPPORTS_FIXED_SIZE_ARRAYS = True
 294    STRICT_JSON_PATH_SYNTAX = False
 295    NUMBERS_CAN_BE_UNDERSCORE_SEPARATED = True
 296
 297    # https://duckdb.org/docs/sql/introduction.html#creating-a-new-table
 298    NORMALIZATION_STRATEGY = NormalizationStrategy.CASE_INSENSITIVE
 299
 300    def to_json_path(self, path: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
 301        if isinstance(path, exp.Literal):
 302            # DuckDB also supports the JSON pointer syntax, where every path starts with a `/`.
 303            # Additionally, it allows accessing the back of lists using the `[#-i]` syntax.
 304            # This check ensures we'll avoid trying to parse these as JSON paths, which can
 305            # either result in a noisy warning or in an invalid representation of the path.
 306            path_text = path.name
 307            if path_text.startswith("/") or "[#" in path_text:
 308                return path
 309
 310        return super().to_json_path(path)
 311
 312    class Tokenizer(tokens.Tokenizer):
 313        BYTE_STRINGS = [("e'", "'"), ("E'", "'")]
 314        HEREDOC_STRINGS = ["$"]
 315
 316        HEREDOC_TAG_IS_IDENTIFIER = True
 317        HEREDOC_STRING_ALTERNATIVE = TokenType.PARAMETER
 318
 319        KEYWORDS = {
 320            **tokens.Tokenizer.KEYWORDS,
 321            "//": TokenType.DIV,
 322            "**": TokenType.DSTAR,
 323            "^@": TokenType.CARET_AT,
 324            "@>": TokenType.AT_GT,
 325            "<@": TokenType.LT_AT,
 326            "ATTACH": TokenType.ATTACH,
 327            "BINARY": TokenType.VARBINARY,
 328            "BITSTRING": TokenType.BIT,
 329            "BPCHAR": TokenType.TEXT,
 330            "CHAR": TokenType.TEXT,
 331            "CHARACTER VARYING": TokenType.TEXT,
 332            "DETACH": TokenType.DETACH,
 333            "EXCLUDE": TokenType.EXCEPT,
 334            "LOGICAL": TokenType.BOOLEAN,
 335            "ONLY": TokenType.ONLY,
 336            "PIVOT_WIDER": TokenType.PIVOT,
 337            "POSITIONAL": TokenType.POSITIONAL,
 338            "SIGNED": TokenType.INT,
 339            "STRING": TokenType.TEXT,
 340            "SUMMARIZE": TokenType.SUMMARIZE,
 341            "TIMESTAMP_S": TokenType.TIMESTAMP_S,
 342            "TIMESTAMP_MS": TokenType.TIMESTAMP_MS,
 343            "TIMESTAMP_NS": TokenType.TIMESTAMP_NS,
 344            "TIMESTAMP_US": TokenType.TIMESTAMP,
 345            "UBIGINT": TokenType.UBIGINT,
 346            "UINTEGER": TokenType.UINT,
 347            "USMALLINT": TokenType.USMALLINT,
 348            "UTINYINT": TokenType.UTINYINT,
 349            "VARCHAR": TokenType.TEXT,
 350        }
 351        KEYWORDS.pop("/*+")
 352
 353        SINGLE_TOKENS = {
 354            **tokens.Tokenizer.SINGLE_TOKENS,
 355            "$": TokenType.PARAMETER,
 356        }
 357
 358        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
 359
 360    class Parser(parser.Parser):
 361        BITWISE = {
 362            **parser.Parser.BITWISE,
 363            TokenType.TILDA: exp.RegexpLike,
 364        }
 365        BITWISE.pop(TokenType.CARET)
 366
 367        RANGE_PARSERS = {
 368            **parser.Parser.RANGE_PARSERS,
 369            TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps),
 370            TokenType.CARET_AT: binary_range_parser(exp.StartsWith),
 371        }
 372
 373        EXPONENT = {
 374            **parser.Parser.EXPONENT,
 375            TokenType.CARET: exp.Pow,
 376            TokenType.DSTAR: exp.Pow,
 377        }
 378
 379        FUNCTIONS_WITH_ALIASED_ARGS = {*parser.Parser.FUNCTIONS_WITH_ALIASED_ARGS, "STRUCT_PACK"}
 380
 381        SHOW_PARSERS = {
 382            "TABLES": _show_parser("TABLES"),
 383            "ALL TABLES": _show_parser("ALL TABLES"),
 384        }
 385
 386        FUNCTIONS = {
 387            **parser.Parser.FUNCTIONS,
 388            "ARRAY_REVERSE_SORT": _build_sort_array_desc,
 389            "ARRAY_SORT": exp.SortArray.from_arg_list,
 390            "DATEDIFF": _build_date_diff,
 391            "DATE_DIFF": _build_date_diff,
 392            "DATE_TRUNC": date_trunc_to_time,
 393            "DATETRUNC": date_trunc_to_time,
 394            "DECODE": lambda args: exp.Decode(
 395                this=seq_get(args, 0), charset=exp.Literal.string("utf-8")
 396            ),
 397            "EDITDIST3": exp.Levenshtein.from_arg_list,
 398            "ENCODE": lambda args: exp.Encode(
 399                this=seq_get(args, 0), charset=exp.Literal.string("utf-8")
 400            ),
 401            "EPOCH": exp.TimeToUnix.from_arg_list,
 402            "EPOCH_MS": lambda args: exp.UnixToTime(
 403                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
 404            ),
 405            "GENERATE_SERIES": _build_generate_series(),
 406            "JSON": exp.ParseJSON.from_arg_list,
 407            "JSON_EXTRACT_PATH": parser.build_extract_json_with_path(exp.JSONExtract),
 408            "JSON_EXTRACT_STRING": parser.build_extract_json_with_path(exp.JSONExtractScalar),
 409            "LIST_HAS": exp.ArrayContains.from_arg_list,
 410            "LIST_REVERSE_SORT": _build_sort_array_desc,
 411            "LIST_SORT": exp.SortArray.from_arg_list,
 412            "LIST_VALUE": lambda args: exp.Array(expressions=args),
 413            "MAKE_TIME": exp.TimeFromParts.from_arg_list,
 414            "MAKE_TIMESTAMP": _build_make_timestamp,
 415            "QUANTILE_CONT": exp.PercentileCont.from_arg_list,
 416            "QUANTILE_DISC": exp.PercentileDisc.from_arg_list,
 417            "RANGE": _build_generate_series(end_exclusive=True),
 418            "REGEXP_EXTRACT": build_regexp_extract(exp.RegexpExtract),
 419            "REGEXP_EXTRACT_ALL": build_regexp_extract(exp.RegexpExtractAll),
 420            "REGEXP_MATCHES": exp.RegexpLike.from_arg_list,
 421            "REGEXP_REPLACE": lambda args: exp.RegexpReplace(
 422                this=seq_get(args, 0),
 423                expression=seq_get(args, 1),
 424                replacement=seq_get(args, 2),
 425                modifiers=seq_get(args, 3),
 426            ),
 427            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
 428            "STRFTIME": build_formatted_time(exp.TimeToStr, "duckdb"),
 429            "STRING_SPLIT": exp.Split.from_arg_list,
 430            "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
 431            "STRING_TO_ARRAY": exp.Split.from_arg_list,
 432            "STRPTIME": build_formatted_time(exp.StrToTime, "duckdb"),
 433            "STRUCT_PACK": exp.Struct.from_arg_list,
 434            "STR_SPLIT": exp.Split.from_arg_list,
 435            "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
 436            "TIME_BUCKET": exp.DateBin.from_arg_list,
 437            "TO_TIMESTAMP": exp.UnixToTime.from_arg_list,
 438            "UNNEST": exp.Explode.from_arg_list,
 439            "XOR": binary_from_function(exp.BitwiseXor),
 440        }
 441
 442        FUNCTIONS.pop("DATE_SUB")
 443        FUNCTIONS.pop("GLOB")
 444
 445        FUNCTION_PARSERS = {
 446            **parser.Parser.FUNCTION_PARSERS,
 447            **dict.fromkeys(
 448                ("GROUP_CONCAT", "LISTAGG", "STRINGAGG"), lambda self: self._parse_string_agg()
 449            ),
 450        }
 451        FUNCTION_PARSERS.pop("DECODE")
 452
 453        NO_PAREN_FUNCTION_PARSERS = {
 454            **parser.Parser.NO_PAREN_FUNCTION_PARSERS,
 455            "MAP": lambda self: self._parse_map(),
 456            "@": lambda self: exp.Abs(this=self._parse_bitwise()),
 457        }
 458
 459        TABLE_ALIAS_TOKENS = parser.Parser.TABLE_ALIAS_TOKENS - {
 460            TokenType.SEMI,
 461            TokenType.ANTI,
 462        }
 463
 464        PLACEHOLDER_PARSERS = {
 465            **parser.Parser.PLACEHOLDER_PARSERS,
 466            TokenType.PARAMETER: lambda self: (
 467                self.expression(exp.Placeholder, this=self._prev.text)
 468                if self._match(TokenType.NUMBER) or self._match_set(self.ID_VAR_TOKENS)
 469                else None
 470            ),
 471        }
 472
 473        TYPE_CONVERTERS = {
 474            # https://duckdb.org/docs/sql/data_types/numeric
 475            exp.DataType.Type.DECIMAL: build_default_decimal_type(precision=18, scale=3),
 476            # https://duckdb.org/docs/sql/data_types/text
 477            exp.DataType.Type.TEXT: lambda dtype: exp.DataType.build("TEXT"),
 478        }
 479
 480        STATEMENT_PARSERS = {
 481            **parser.Parser.STATEMENT_PARSERS,
 482            TokenType.ATTACH: lambda self: self._parse_attach_detach(),
 483            TokenType.DETACH: lambda self: self._parse_attach_detach(is_attach=False),
 484            TokenType.SHOW: lambda self: self._parse_show(),
 485        }
 486
 487        def _parse_expression(self) -> t.Optional[exp.Expression]:
 488            # DuckDB supports prefix aliases, e.g. foo: 1
 489            if self._next and self._next.token_type == TokenType.COLON:
 490                alias = self._parse_id_var(tokens=self.ALIAS_TOKENS)
 491                self._match(TokenType.COLON)
 492                comments = self._prev_comments or []
 493
 494                this = self._parse_assignment()
 495                if isinstance(this, exp.Expression):
 496                    # Moves the comment next to the alias in `alias: expr /* comment */`
 497                    comments += this.pop_comments() or []
 498
 499                return self.expression(exp.Alias, comments=comments, this=this, alias=alias)
 500
 501            return super()._parse_expression()
 502
 503        def _parse_table(
 504            self,
 505            schema: bool = False,
 506            joins: bool = False,
 507            alias_tokens: t.Optional[t.Collection[TokenType]] = None,
 508            parse_bracket: bool = False,
 509            is_db_reference: bool = False,
 510            parse_partition: bool = False,
 511        ) -> t.Optional[exp.Expression]:
 512            # DuckDB supports prefix aliases, e.g. FROM foo: bar
 513            if self._next and self._next.token_type == TokenType.COLON:
 514                alias = self._parse_table_alias(
 515                    alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS
 516                )
 517                self._match(TokenType.COLON)
 518                comments = self._prev_comments or []
 519            else:
 520                alias = None
 521                comments = []
 522
 523            table = super()._parse_table(
 524                schema=schema,
 525                joins=joins,
 526                alias_tokens=alias_tokens,
 527                parse_bracket=parse_bracket,
 528                is_db_reference=is_db_reference,
 529                parse_partition=parse_partition,
 530            )
 531            if isinstance(table, exp.Expression) and isinstance(alias, exp.TableAlias):
 532                # Moves the comment next to the alias in `alias: table /* comment */`
 533                comments += table.pop_comments() or []
 534                alias.comments = alias.pop_comments() + comments
 535                table.set("alias", alias)
 536
 537            return table
 538
 539        def _parse_table_sample(self, as_modifier: bool = False) -> t.Optional[exp.TableSample]:
 540            # https://duckdb.org/docs/sql/samples.html
 541            sample = super()._parse_table_sample(as_modifier=as_modifier)
 542            if sample and not sample.args.get("method"):
 543                if sample.args.get("size"):
 544                    sample.set("method", exp.var("RESERVOIR"))
 545                else:
 546                    sample.set("method", exp.var("SYSTEM"))
 547
 548            return sample
 549
 550        def _parse_bracket(
 551            self, this: t.Optional[exp.Expression] = None
 552        ) -> t.Optional[exp.Expression]:
 553            bracket = super()._parse_bracket(this)
 554
 555            if self.dialect.version < Version("1.2.0") and isinstance(bracket, exp.Bracket):
 556                # https://duckdb.org/2025/02/05/announcing-duckdb-120.html#breaking-changes
 557                bracket.set("returns_list_for_maps", True)
 558
 559            return bracket
 560
 561        def _parse_map(self) -> exp.ToMap | exp.Map:
 562            if self._match(TokenType.L_BRACE, advance=False):
 563                return self.expression(exp.ToMap, this=self._parse_bracket())
 564
 565            args = self._parse_wrapped_csv(self._parse_assignment)
 566            return self.expression(exp.Map, keys=seq_get(args, 0), values=seq_get(args, 1))
 567
 568        def _parse_struct_types(self, type_required: bool = False) -> t.Optional[exp.Expression]:
 569            return self._parse_field_def()
 570
 571        def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
 572            if len(aggregations) == 1:
 573                return super()._pivot_column_names(aggregations)
 574            return pivot_column_names(aggregations, dialect="duckdb")
 575
 576        def _parse_attach_detach(self, is_attach=True) -> exp.Attach | exp.Detach:
 577            def _parse_attach_option() -> exp.AttachOption:
 578                return self.expression(
 579                    exp.AttachOption,
 580                    this=self._parse_var(any_token=True),
 581                    expression=self._parse_field(any_token=True),
 582                )
 583
 584            self._match(TokenType.DATABASE)
 585            exists = self._parse_exists(not_=is_attach)
 586            this = self._parse_alias(self._parse_primary_or_var(), explicit=True)
 587
 588            if self._match(TokenType.L_PAREN, advance=False):
 589                expressions = self._parse_wrapped_csv(_parse_attach_option)
 590            else:
 591                expressions = None
 592
 593            return (
 594                self.expression(exp.Attach, this=this, exists=exists, expressions=expressions)
 595                if is_attach
 596                else self.expression(exp.Detach, this=this, exists=exists)
 597            )
 598
 599        def _parse_show_duckdb(self, this: str) -> exp.Show:
 600            return self.expression(exp.Show, this=this)
 601
 602    class Generator(generator.Generator):
 603        PARAMETER_TOKEN = "$"
 604        NAMED_PLACEHOLDER_TOKEN = "$"
 605        JOIN_HINTS = False
 606        TABLE_HINTS = False
 607        QUERY_HINTS = False
 608        LIMIT_FETCH = "LIMIT"
 609        STRUCT_DELIMITER = ("(", ")")
 610        RENAME_TABLE_WITH_DB = False
 611        NVL2_SUPPORTED = False
 612        SEMI_ANTI_JOIN_WITH_SIDE = False
 613        TABLESAMPLE_KEYWORDS = "USING SAMPLE"
 614        TABLESAMPLE_SEED_KEYWORD = "REPEATABLE"
 615        LAST_DAY_SUPPORTS_DATE_PART = False
 616        JSON_KEY_VALUE_PAIR_SEP = ","
 617        IGNORE_NULLS_IN_FUNC = True
 618        JSON_PATH_BRACKETED_KEY_SUPPORTED = False
 619        SUPPORTS_CREATE_TABLE_LIKE = False
 620        MULTI_ARG_DISTINCT = False
 621        CAN_IMPLEMENT_ARRAY_ANY = True
 622        SUPPORTS_TO_NUMBER = False
 623        COPY_HAS_INTO_KEYWORD = False
 624        STAR_EXCEPT = "EXCLUDE"
 625        PAD_FILL_PATTERN_IS_REQUIRED = True
 626        ARRAY_CONCAT_IS_VAR_LEN = False
 627        ARRAY_SIZE_DIM_REQUIRED = False
 628
 629        TRANSFORMS = {
 630            **generator.Generator.TRANSFORMS,
 631            exp.ApproxDistinct: approx_count_distinct_sql,
 632            exp.Array: inline_array_unless_query,
 633            exp.ArrayFilter: rename_func("LIST_FILTER"),
 634            exp.ArraySort: _array_sort_sql,
 635            exp.ArraySum: rename_func("LIST_SUM"),
 636            exp.BitwiseXor: rename_func("XOR"),
 637            exp.CommentColumnConstraint: no_comment_column_constraint_sql,
 638            exp.CurrentDate: lambda *_: "CURRENT_DATE",
 639            exp.CurrentTime: lambda *_: "CURRENT_TIME",
 640            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
 641            exp.DayOfMonth: rename_func("DAYOFMONTH"),
 642            exp.DayOfWeek: rename_func("DAYOFWEEK"),
 643            exp.DayOfWeekIso: rename_func("ISODOW"),
 644            exp.DayOfYear: rename_func("DAYOFYEAR"),
 645            exp.DataType: _datatype_sql,
 646            exp.Date: _date_sql,
 647            exp.DateAdd: _date_delta_sql,
 648            exp.DateFromParts: rename_func("MAKE_DATE"),
 649            exp.DateSub: _date_delta_sql,
 650            exp.DateDiff: _date_diff_sql,
 651            exp.DateStrToDate: datestrtodate_sql,
 652            exp.Datetime: no_datetime_sql,
 653            exp.DatetimeSub: _date_delta_sql,
 654            exp.DatetimeAdd: _date_delta_sql,
 655            exp.DateToDi: lambda self,
 656            e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.DATEINT_FORMAT}) AS INT)",
 657            exp.Decode: lambda self, e: encode_decode_sql(self, e, "DECODE", replace=False),
 658            exp.DiToDate: lambda self,
 659            e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.DATEINT_FORMAT}) AS DATE)",
 660            exp.Encode: lambda self, e: encode_decode_sql(self, e, "ENCODE", replace=False),
 661            exp.GenerateDateArray: _generate_datetime_array_sql,
 662            exp.GenerateTimestampArray: _generate_datetime_array_sql,
 663            exp.GroupConcat: lambda self, e: groupconcat_sql(self, e, within_group=False),
 664            exp.HexString: lambda self, e: self.hexstring_sql(e, binary_function_repr="FROM_HEX"),
 665            exp.Explode: rename_func("UNNEST"),
 666            exp.IntDiv: lambda self, e: self.binary(e, "//"),
 667            exp.IsInf: rename_func("ISINF"),
 668            exp.IsNan: rename_func("ISNAN"),
 669            exp.JSONBExists: rename_func("JSON_EXISTS"),
 670            exp.JSONExtract: _arrow_json_extract_sql,
 671            exp.JSONExtractArray: _json_extract_value_array_sql,
 672            exp.JSONExtractScalar: _arrow_json_extract_sql,
 673            exp.JSONFormat: _json_format_sql,
 674            exp.JSONValueArray: _json_extract_value_array_sql,
 675            exp.Lateral: explode_to_unnest_sql,
 676            exp.LogicalOr: rename_func("BOOL_OR"),
 677            exp.LogicalAnd: rename_func("BOOL_AND"),
 678            exp.MakeInterval: lambda self, e: no_make_interval_sql(self, e, sep=" "),
 679            exp.MD5Digest: lambda self, e: self.func("UNHEX", self.func("MD5", e.this)),
 680            exp.MonthsBetween: lambda self, e: self.func(
 681                "DATEDIFF",
 682                "'month'",
 683                exp.cast(e.expression, exp.DataType.Type.TIMESTAMP, copy=True),
 684                exp.cast(e.this, exp.DataType.Type.TIMESTAMP, copy=True),
 685            ),
 686            exp.PercentileCont: rename_func("QUANTILE_CONT"),
 687            exp.PercentileDisc: rename_func("QUANTILE_DISC"),
 688            # DuckDB doesn't allow qualified columns inside of PIVOT expressions.
 689            # See: https://github.com/duckdb/duckdb/blob/671faf92411182f81dce42ac43de8bfb05d9909e/src/planner/binder/tableref/bind_pivot.cpp#L61-L62
 690            exp.Pivot: transforms.preprocess([transforms.unqualify_columns]),
 691            exp.RegexpReplace: lambda self, e: self.func(
 692                "REGEXP_REPLACE",
 693                e.this,
 694                e.expression,
 695                e.args.get("replacement"),
 696                e.args.get("modifiers"),
 697            ),
 698            exp.RegexpLike: rename_func("REGEXP_MATCHES"),
 699            exp.RegexpILike: lambda self, e: self.func(
 700                "REGEXP_MATCHES", e.this, e.expression, exp.Literal.string("i")
 701            ),
 702            exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"),
 703            exp.Return: lambda self, e: self.sql(e, "this"),
 704            exp.ReturnsProperty: lambda self, e: "TABLE" if isinstance(e.this, exp.Schema) else "",
 705            exp.Rand: rename_func("RANDOM"),
 706            exp.SHA: rename_func("SHA1"),
 707            exp.SHA2: sha256_sql,
 708            exp.Split: rename_func("STR_SPLIT"),
 709            exp.SortArray: _sort_array_sql,
 710            exp.StrPosition: strposition_sql,
 711            exp.StrToUnix: lambda self, e: self.func(
 712                "EPOCH", self.func("STRPTIME", e.this, self.format_time(e))
 713            ),
 714            exp.Struct: _struct_sql,
 715            exp.Transform: rename_func("LIST_TRANSFORM"),
 716            exp.TimeAdd: _date_delta_sql,
 717            exp.Time: no_time_sql,
 718            exp.TimeDiff: _timediff_sql,
 719            exp.Timestamp: no_timestamp_sql,
 720            exp.TimestampDiff: lambda self, e: self.func(
 721                "DATE_DIFF", exp.Literal.string(e.unit), e.expression, e.this
 722            ),
 723            exp.TimestampTrunc: timestamptrunc_sql(),
 724            exp.TimeStrToDate: lambda self, e: self.sql(exp.cast(e.this, exp.DataType.Type.DATE)),
 725            exp.TimeStrToTime: timestrtotime_sql,
 726            exp.TimeStrToUnix: lambda self, e: self.func(
 727                "EPOCH", exp.cast(e.this, exp.DataType.Type.TIMESTAMP)
 728            ),
 729            exp.TimeToStr: lambda self, e: self.func("STRFTIME", e.this, self.format_time(e)),
 730            exp.TimeToUnix: rename_func("EPOCH"),
 731            exp.TsOrDiToDi: lambda self,
 732            e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)",
 733            exp.TsOrDsAdd: _date_delta_sql,
 734            exp.TsOrDsDiff: lambda self, e: self.func(
 735                "DATE_DIFF",
 736                f"'{e.args.get('unit') or 'DAY'}'",
 737                exp.cast(e.expression, exp.DataType.Type.TIMESTAMP),
 738                exp.cast(e.this, exp.DataType.Type.TIMESTAMP),
 739            ),
 740            exp.UnixToStr: lambda self, e: self.func(
 741                "STRFTIME", self.func("TO_TIMESTAMP", e.this), self.format_time(e)
 742            ),
 743            exp.DatetimeTrunc: lambda self, e: self.func(
 744                "DATE_TRUNC", unit_to_str(e), exp.cast(e.this, exp.DataType.Type.DATETIME)
 745            ),
 746            exp.UnixToTime: _unix_to_time_sql,
 747            exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)",
 748            exp.VariancePop: rename_func("VAR_POP"),
 749            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
 750            exp.Xor: bool_xor_sql,
 751            exp.Levenshtein: unsupported_args("ins_cost", "del_cost", "sub_cost", "max_dist")(
 752                rename_func("LEVENSHTEIN")
 753            ),
 754            exp.JSONObjectAgg: rename_func("JSON_GROUP_OBJECT"),
 755            exp.JSONBObjectAgg: rename_func("JSON_GROUP_OBJECT"),
 756            exp.DateBin: rename_func("TIME_BUCKET"),
 757        }
 758
 759        SUPPORTED_JSON_PATH_PARTS = {
 760            exp.JSONPathKey,
 761            exp.JSONPathRoot,
 762            exp.JSONPathSubscript,
 763            exp.JSONPathWildcard,
 764        }
 765
 766        TYPE_MAPPING = {
 767            **generator.Generator.TYPE_MAPPING,
 768            exp.DataType.Type.BINARY: "BLOB",
 769            exp.DataType.Type.BPCHAR: "TEXT",
 770            exp.DataType.Type.CHAR: "TEXT",
 771            exp.DataType.Type.DATETIME: "TIMESTAMP",
 772            exp.DataType.Type.FLOAT: "REAL",
 773            exp.DataType.Type.JSONB: "JSON",
 774            exp.DataType.Type.NCHAR: "TEXT",
 775            exp.DataType.Type.NVARCHAR: "TEXT",
 776            exp.DataType.Type.UINT: "UINTEGER",
 777            exp.DataType.Type.VARBINARY: "BLOB",
 778            exp.DataType.Type.ROWVERSION: "BLOB",
 779            exp.DataType.Type.VARCHAR: "TEXT",
 780            exp.DataType.Type.TIMESTAMPNTZ: "TIMESTAMP",
 781            exp.DataType.Type.TIMESTAMP_S: "TIMESTAMP_S",
 782            exp.DataType.Type.TIMESTAMP_MS: "TIMESTAMP_MS",
 783            exp.DataType.Type.TIMESTAMP_NS: "TIMESTAMP_NS",
 784        }
 785
 786        # https://github.com/duckdb/duckdb/blob/ff7f24fd8e3128d94371827523dae85ebaf58713/third_party/libpg_query/grammar/keywords/reserved_keywords.list#L1-L77
 787        RESERVED_KEYWORDS = {
 788            "array",
 789            "analyse",
 790            "union",
 791            "all",
 792            "when",
 793            "in_p",
 794            "default",
 795            "create_p",
 796            "window",
 797            "asymmetric",
 798            "to",
 799            "else",
 800            "localtime",
 801            "from",
 802            "end_p",
 803            "select",
 804            "current_date",
 805            "foreign",
 806            "with",
 807            "grant",
 808            "session_user",
 809            "or",
 810            "except",
 811            "references",
 812            "fetch",
 813            "limit",
 814            "group_p",
 815            "leading",
 816            "into",
 817            "collate",
 818            "offset",
 819            "do",
 820            "then",
 821            "localtimestamp",
 822            "check_p",
 823            "lateral_p",
 824            "current_role",
 825            "where",
 826            "asc_p",
 827            "placing",
 828            "desc_p",
 829            "user",
 830            "unique",
 831            "initially",
 832            "column",
 833            "both",
 834            "some",
 835            "as",
 836            "any",
 837            "only",
 838            "deferrable",
 839            "null_p",
 840            "current_time",
 841            "true_p",
 842            "table",
 843            "case",
 844            "trailing",
 845            "variadic",
 846            "for",
 847            "on",
 848            "distinct",
 849            "false_p",
 850            "not",
 851            "constraint",
 852            "current_timestamp",
 853            "returning",
 854            "primary",
 855            "intersect",
 856            "having",
 857            "analyze",
 858            "current_user",
 859            "and",
 860            "cast",
 861            "symmetric",
 862            "using",
 863            "order",
 864            "current_catalog",
 865        }
 866
 867        UNWRAPPED_INTERVAL_VALUES = (exp.Literal, exp.Paren)
 868
 869        # DuckDB doesn't generally support CREATE TABLE .. properties
 870        # https://duckdb.org/docs/sql/statements/create_table.html
 871        PROPERTIES_LOCATION = {
 872            prop: exp.Properties.Location.UNSUPPORTED
 873            for prop in generator.Generator.PROPERTIES_LOCATION
 874        }
 875
 876        # There are a few exceptions (e.g. temporary tables) which are supported or
 877        # can be transpiled to DuckDB, so we explicitly override them accordingly
 878        PROPERTIES_LOCATION[exp.LikeProperty] = exp.Properties.Location.POST_SCHEMA
 879        PROPERTIES_LOCATION[exp.TemporaryProperty] = exp.Properties.Location.POST_CREATE
 880        PROPERTIES_LOCATION[exp.ReturnsProperty] = exp.Properties.Location.POST_ALIAS
 881
 882        def show_sql(self, expression: exp.Show) -> str:
 883            return f"SHOW {expression.name}"
 884
 885        def fromiso8601timestamp_sql(self, expression: exp.FromISO8601Timestamp) -> str:
 886            return self.sql(exp.cast(expression.this, exp.DataType.Type.TIMESTAMPTZ))
 887
 888        def strtotime_sql(self, expression: exp.StrToTime) -> str:
 889            if expression.args.get("safe"):
 890                formatted_time = self.format_time(expression)
 891                return f"CAST({self.func('TRY_STRPTIME', expression.this, formatted_time)} AS TIMESTAMP)"
 892            return str_to_time_sql(self, expression)
 893
 894        def strtodate_sql(self, expression: exp.StrToDate) -> str:
 895            if expression.args.get("safe"):
 896                formatted_time = self.format_time(expression)
 897                return f"CAST({self.func('TRY_STRPTIME', expression.this, formatted_time)} AS DATE)"
 898            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
 899
 900        def parsejson_sql(self, expression: exp.ParseJSON) -> str:
 901            arg = expression.this
 902            if expression.args.get("safe"):
 903                return self.sql(exp.case().when(exp.func("json_valid", arg), arg).else_(exp.null()))
 904            return self.func("JSON", arg)
 905
 906        def timefromparts_sql(self, expression: exp.TimeFromParts) -> str:
 907            nano = expression.args.get("nano")
 908            if nano is not None:
 909                expression.set(
 910                    "sec", expression.args["sec"] + nano.pop() / exp.Literal.number(1000000000.0)
 911                )
 912
 913            return rename_func("MAKE_TIME")(self, expression)
 914
 915        def timestampfromparts_sql(self, expression: exp.TimestampFromParts) -> str:
 916            sec = expression.args["sec"]
 917
 918            milli = expression.args.get("milli")
 919            if milli is not None:
 920                sec += milli.pop() / exp.Literal.number(1000.0)
 921
 922            nano = expression.args.get("nano")
 923            if nano is not None:
 924                sec += nano.pop() / exp.Literal.number(1000000000.0)
 925
 926            if milli or nano:
 927                expression.set("sec", sec)
 928
 929            return rename_func("MAKE_TIMESTAMP")(self, expression)
 930
 931        def tablesample_sql(
 932            self,
 933            expression: exp.TableSample,
 934            tablesample_keyword: t.Optional[str] = None,
 935        ) -> str:
 936            if not isinstance(expression.parent, exp.Select):
 937                # This sample clause only applies to a single source, not the entire resulting relation
 938                tablesample_keyword = "TABLESAMPLE"
 939
 940            if expression.args.get("size"):
 941                method = expression.args.get("method")
 942                if method and method.name.upper() != "RESERVOIR":
 943                    self.unsupported(
 944                        f"Sampling method {method} is not supported with a discrete sample count, "
 945                        "defaulting to reservoir sampling"
 946                    )
 947                    expression.set("method", exp.var("RESERVOIR"))
 948
 949            return super().tablesample_sql(expression, tablesample_keyword=tablesample_keyword)
 950
 951        def interval_sql(self, expression: exp.Interval) -> str:
 952            multiplier: t.Optional[int] = None
 953            unit = expression.text("unit").lower()
 954
 955            if unit.startswith("week"):
 956                multiplier = 7
 957            if unit.startswith("quarter"):
 958                multiplier = 90
 959
 960            if multiplier:
 961                return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('DAY')))})"
 962
 963            return super().interval_sql(expression)
 964
 965        def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
 966            if isinstance(expression.parent, exp.UserDefinedFunction):
 967                return self.sql(expression, "this")
 968            return super().columndef_sql(expression, sep)
 969
 970        def join_sql(self, expression: exp.Join) -> str:
 971            if (
 972                expression.side == "LEFT"
 973                and not expression.args.get("on")
 974                and isinstance(expression.this, exp.Unnest)
 975            ):
 976                # Some dialects support `LEFT JOIN UNNEST(...)` without an explicit ON clause
 977                # DuckDB doesn't, but we can just add a dummy ON clause that is always true
 978                return super().join_sql(expression.on(exp.true()))
 979
 980            return super().join_sql(expression)
 981
 982        def generateseries_sql(self, expression: exp.GenerateSeries) -> str:
 983            # GENERATE_SERIES(a, b) -> [a, b], RANGE(a, b) -> [a, b)
 984            if expression.args.get("is_end_exclusive"):
 985                return rename_func("RANGE")(self, expression)
 986
 987            return self.function_fallback_sql(expression)
 988
 989        def countif_sql(self, expression: exp.CountIf) -> str:
 990            if self.dialect.version >= Version("1.2"):
 991                return self.function_fallback_sql(expression)
 992
 993            # https://github.com/tobymao/sqlglot/pull/4749
 994            return count_if_to_sum(self, expression)
 995
 996        def bracket_sql(self, expression: exp.Bracket) -> str:
 997            if self.dialect.version >= Version("1.2"):
 998                return super().bracket_sql(expression)
 999
1000            # https://duckdb.org/2025/02/05/announcing-duckdb-120.html#breaking-changes
1001            this = expression.this
1002            if isinstance(this, exp.Array):
1003                this.replace(exp.paren(this))
1004
1005            bracket = super().bracket_sql(expression)
1006
1007            if not expression.args.get("returns_list_for_maps"):
1008                if not this.type:
1009                    from sqlglot.optimizer.annotate_types import annotate_types
1010
1011                    this = annotate_types(this, dialect=self.dialect)
1012
1013                if this.is_type(exp.DataType.Type.MAP):
1014                    bracket = f"({bracket})[1]"
1015
1016            return bracket
1017
1018        def withingroup_sql(self, expression: exp.WithinGroup) -> str:
1019            expression_sql = self.sql(expression, "expression")
1020
1021            func = expression.this
1022            if isinstance(func, exp.PERCENTILES):
1023                # Make the order key the first arg and slide the fraction to the right
1024                # https://duckdb.org/docs/sql/aggregates#ordered-set-aggregate-functions
1025                order_col = expression.find(exp.Ordered)
1026                if order_col:
1027                    func.set("expression", func.this)
1028                    func.set("this", order_col.this)
1029
1030            this = self.sql(expression, "this").rstrip(")")
1031
1032            return f"{this}{expression_sql})"
1033
1034        def length_sql(self, expression: exp.Length) -> str:
1035            arg = expression.this
1036
1037            # Dialects like BQ and Snowflake also accept binary values as args, so
1038            # DDB will attempt to infer the type or resort to case/when resolution
1039            if not expression.args.get("binary") or arg.is_string:
1040                return self.func("LENGTH", arg)
1041
1042            if not arg.type:
1043                from sqlglot.optimizer.annotate_types import annotate_types
1044
1045                arg = annotate_types(arg, dialect=self.dialect)
1046
1047            if arg.is_type(*exp.DataType.TEXT_TYPES):
1048                return self.func("LENGTH", arg)
1049
1050            # We need these casts to make duckdb's static type checker happy
1051            blob = exp.cast(arg, exp.DataType.Type.VARBINARY)
1052            varchar = exp.cast(arg, exp.DataType.Type.VARCHAR)
1053
1054            case = (
1055                exp.case(self.func("TYPEOF", arg))
1056                .when("'BLOB'", self.func("OCTET_LENGTH", blob))
1057                .else_(
1058                    exp.Anonymous(this="LENGTH", expressions=[varchar])
1059                )  # anonymous to break length_sql recursion
1060            )
1061
1062            return self.sql(case)
1063
1064        def objectinsert_sql(self, expression: exp.ObjectInsert) -> str:
1065            this = expression.this
1066            key = expression.args.get("key")
1067            key_sql = key.name if isinstance(key, exp.Expression) else ""
1068            value_sql = self.sql(expression, "value")
1069
1070            kv_sql = f"{key_sql} := {value_sql}"
1071
1072            # If the input struct is empty e.g. transpiling OBJECT_INSERT(OBJECT_CONSTRUCT(), key, value) from Snowflake
1073            # then we can generate STRUCT_PACK which will build it since STRUCT_INSERT({}, key := value) is not valid DuckDB
1074            if isinstance(this, exp.Struct) and not this.expressions:
1075                return self.func("STRUCT_PACK", kv_sql)
1076
1077            return self.func("STRUCT_INSERT", this, kv_sql)
1078
1079        def unnest_sql(self, expression: exp.Unnest) -> str:
1080            explode_array = expression.args.get("explode_array")
1081            if explode_array:
1082                # In BigQuery, UNNESTing a nested array leads to explosion of the top-level array & struct
1083                # This is transpiled to DDB by transforming "FROM UNNEST(...)" to "FROM (SELECT UNNEST(..., max_depth => 2))"
1084                expression.expressions.append(
1085                    exp.Kwarg(this=exp.var("max_depth"), expression=exp.Literal.number(2))
1086                )
1087
1088                # If BQ's UNNEST is aliased, we transform it from a column alias to a table alias in DDB
1089                alias = expression.args.get("alias")
1090                if alias:
1091                    expression.set("alias", None)
1092                    alias = exp.TableAlias(this=seq_get(alias.args.get("columns"), 0))
1093
1094                unnest_sql = super().unnest_sql(expression)
1095                select = exp.Select(expressions=[unnest_sql]).subquery(alias)
1096                return self.sql(select)
1097
1098            return super().unnest_sql(expression)
1099
1100        def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
1101            if isinstance(expression.this, WINDOW_FUNCS_WITH_IGNORE_NULLS):
1102                # DuckDB should render IGNORE NULLS only for the general-purpose
1103                # window functions that accept it e.g. FIRST_VALUE(... IGNORE NULLS) OVER (...)
1104                return super().ignorenulls_sql(expression)
1105
1106            return self.sql(expression, "this")
1107
1108        def arraytostring_sql(self, expression: exp.ArrayToString) -> str:
1109            this = self.sql(expression, "this")
1110            null_text = self.sql(expression, "null")
1111
1112            if null_text:
1113                this = f"LIST_TRANSFORM({this}, x -> COALESCE(x, {null_text}))"
1114
1115            return self.func("ARRAY_TO_STRING", this, expression.expression)
1116
1117        @unsupported_args("position", "occurrence")
1118        def regexpextract_sql(self, expression: exp.RegexpExtract) -> str:
1119            group = expression.args.get("group")
1120            params = expression.args.get("parameters")
1121
1122            # Do not render group if there is no following argument,
1123            # and it's the default value for this dialect
1124            if (
1125                not params
1126                and group
1127                and group.name == str(self.dialect.REGEXP_EXTRACT_DEFAULT_GROUP)
1128            ):
1129                group = None
1130            return self.func(
1131                "REGEXP_EXTRACT", expression.this, expression.expression, group, params
1132            )
1133
1134        @unsupported_args("culture")
1135        def numbertostr_sql(self, expression: exp.NumberToStr) -> str:
1136            fmt = expression.args.get("format")
1137            if fmt and fmt.is_int:
1138                return self.func("FORMAT", f"'{{:,.{fmt.name}f}}'", expression.this)
1139
1140            self.unsupported("Only integer formats are supported by NumberToStr")
1141            return self.function_fallback_sql(expression)
1142
1143        def autoincrementcolumnconstraint_sql(self, _) -> str:
1144            self.unsupported("The AUTOINCREMENT column constraint is not supported by DuckDB")
1145            return ""
WINDOW_FUNCS_WITH_IGNORE_NULLS = (<class 'sqlglot.expressions.FirstValue'>, <class 'sqlglot.expressions.LastValue'>, <class 'sqlglot.expressions.Lag'>, <class 'sqlglot.expressions.Lead'>, <class 'sqlglot.expressions.NthValue'>)
WRAPPED_JSON_EXTRACT_EXPRESSIONS = (<class 'sqlglot.expressions.Binary'>, <class 'sqlglot.expressions.Bracket'>, <class 'sqlglot.expressions.In'>)
class DuckDB(sqlglot.dialects.dialect.Dialect):
 287class DuckDB(Dialect):
 288    NULL_ORDERING = "nulls_are_last"
 289    SUPPORTS_USER_DEFINED_TYPES = True
 290    SAFE_DIVISION = True
 291    INDEX_OFFSET = 1
 292    CONCAT_COALESCE = True
 293    SUPPORTS_ORDER_BY_ALL = True
 294    SUPPORTS_FIXED_SIZE_ARRAYS = True
 295    STRICT_JSON_PATH_SYNTAX = False
 296    NUMBERS_CAN_BE_UNDERSCORE_SEPARATED = True
 297
 298    # https://duckdb.org/docs/sql/introduction.html#creating-a-new-table
 299    NORMALIZATION_STRATEGY = NormalizationStrategy.CASE_INSENSITIVE
 300
 301    def to_json_path(self, path: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
 302        if isinstance(path, exp.Literal):
 303            # DuckDB also supports the JSON pointer syntax, where every path starts with a `/`.
 304            # Additionally, it allows accessing the back of lists using the `[#-i]` syntax.
 305            # This check ensures we'll avoid trying to parse these as JSON paths, which can
 306            # either result in a noisy warning or in an invalid representation of the path.
 307            path_text = path.name
 308            if path_text.startswith("/") or "[#" in path_text:
 309                return path
 310
 311        return super().to_json_path(path)
 312
 313    class Tokenizer(tokens.Tokenizer):
 314        BYTE_STRINGS = [("e'", "'"), ("E'", "'")]
 315        HEREDOC_STRINGS = ["$"]
 316
 317        HEREDOC_TAG_IS_IDENTIFIER = True
 318        HEREDOC_STRING_ALTERNATIVE = TokenType.PARAMETER
 319
 320        KEYWORDS = {
 321            **tokens.Tokenizer.KEYWORDS,
 322            "//": TokenType.DIV,
 323            "**": TokenType.DSTAR,
 324            "^@": TokenType.CARET_AT,
 325            "@>": TokenType.AT_GT,
 326            "<@": TokenType.LT_AT,
 327            "ATTACH": TokenType.ATTACH,
 328            "BINARY": TokenType.VARBINARY,
 329            "BITSTRING": TokenType.BIT,
 330            "BPCHAR": TokenType.TEXT,
 331            "CHAR": TokenType.TEXT,
 332            "CHARACTER VARYING": TokenType.TEXT,
 333            "DETACH": TokenType.DETACH,
 334            "EXCLUDE": TokenType.EXCEPT,
 335            "LOGICAL": TokenType.BOOLEAN,
 336            "ONLY": TokenType.ONLY,
 337            "PIVOT_WIDER": TokenType.PIVOT,
 338            "POSITIONAL": TokenType.POSITIONAL,
 339            "SIGNED": TokenType.INT,
 340            "STRING": TokenType.TEXT,
 341            "SUMMARIZE": TokenType.SUMMARIZE,
 342            "TIMESTAMP_S": TokenType.TIMESTAMP_S,
 343            "TIMESTAMP_MS": TokenType.TIMESTAMP_MS,
 344            "TIMESTAMP_NS": TokenType.TIMESTAMP_NS,
 345            "TIMESTAMP_US": TokenType.TIMESTAMP,
 346            "UBIGINT": TokenType.UBIGINT,
 347            "UINTEGER": TokenType.UINT,
 348            "USMALLINT": TokenType.USMALLINT,
 349            "UTINYINT": TokenType.UTINYINT,
 350            "VARCHAR": TokenType.TEXT,
 351        }
 352        KEYWORDS.pop("/*+")
 353
 354        SINGLE_TOKENS = {
 355            **tokens.Tokenizer.SINGLE_TOKENS,
 356            "$": TokenType.PARAMETER,
 357        }
 358
 359        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
 360
 361    class Parser(parser.Parser):
 362        BITWISE = {
 363            **parser.Parser.BITWISE,
 364            TokenType.TILDA: exp.RegexpLike,
 365        }
 366        BITWISE.pop(TokenType.CARET)
 367
 368        RANGE_PARSERS = {
 369            **parser.Parser.RANGE_PARSERS,
 370            TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps),
 371            TokenType.CARET_AT: binary_range_parser(exp.StartsWith),
 372        }
 373
 374        EXPONENT = {
 375            **parser.Parser.EXPONENT,
 376            TokenType.CARET: exp.Pow,
 377            TokenType.DSTAR: exp.Pow,
 378        }
 379
 380        FUNCTIONS_WITH_ALIASED_ARGS = {*parser.Parser.FUNCTIONS_WITH_ALIASED_ARGS, "STRUCT_PACK"}
 381
 382        SHOW_PARSERS = {
 383            "TABLES": _show_parser("TABLES"),
 384            "ALL TABLES": _show_parser("ALL TABLES"),
 385        }
 386
 387        FUNCTIONS = {
 388            **parser.Parser.FUNCTIONS,
 389            "ARRAY_REVERSE_SORT": _build_sort_array_desc,
 390            "ARRAY_SORT": exp.SortArray.from_arg_list,
 391            "DATEDIFF": _build_date_diff,
 392            "DATE_DIFF": _build_date_diff,
 393            "DATE_TRUNC": date_trunc_to_time,
 394            "DATETRUNC": date_trunc_to_time,
 395            "DECODE": lambda args: exp.Decode(
 396                this=seq_get(args, 0), charset=exp.Literal.string("utf-8")
 397            ),
 398            "EDITDIST3": exp.Levenshtein.from_arg_list,
 399            "ENCODE": lambda args: exp.Encode(
 400                this=seq_get(args, 0), charset=exp.Literal.string("utf-8")
 401            ),
 402            "EPOCH": exp.TimeToUnix.from_arg_list,
 403            "EPOCH_MS": lambda args: exp.UnixToTime(
 404                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
 405            ),
 406            "GENERATE_SERIES": _build_generate_series(),
 407            "JSON": exp.ParseJSON.from_arg_list,
 408            "JSON_EXTRACT_PATH": parser.build_extract_json_with_path(exp.JSONExtract),
 409            "JSON_EXTRACT_STRING": parser.build_extract_json_with_path(exp.JSONExtractScalar),
 410            "LIST_HAS": exp.ArrayContains.from_arg_list,
 411            "LIST_REVERSE_SORT": _build_sort_array_desc,
 412            "LIST_SORT": exp.SortArray.from_arg_list,
 413            "LIST_VALUE": lambda args: exp.Array(expressions=args),
 414            "MAKE_TIME": exp.TimeFromParts.from_arg_list,
 415            "MAKE_TIMESTAMP": _build_make_timestamp,
 416            "QUANTILE_CONT": exp.PercentileCont.from_arg_list,
 417            "QUANTILE_DISC": exp.PercentileDisc.from_arg_list,
 418            "RANGE": _build_generate_series(end_exclusive=True),
 419            "REGEXP_EXTRACT": build_regexp_extract(exp.RegexpExtract),
 420            "REGEXP_EXTRACT_ALL": build_regexp_extract(exp.RegexpExtractAll),
 421            "REGEXP_MATCHES": exp.RegexpLike.from_arg_list,
 422            "REGEXP_REPLACE": lambda args: exp.RegexpReplace(
 423                this=seq_get(args, 0),
 424                expression=seq_get(args, 1),
 425                replacement=seq_get(args, 2),
 426                modifiers=seq_get(args, 3),
 427            ),
 428            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
 429            "STRFTIME": build_formatted_time(exp.TimeToStr, "duckdb"),
 430            "STRING_SPLIT": exp.Split.from_arg_list,
 431            "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
 432            "STRING_TO_ARRAY": exp.Split.from_arg_list,
 433            "STRPTIME": build_formatted_time(exp.StrToTime, "duckdb"),
 434            "STRUCT_PACK": exp.Struct.from_arg_list,
 435            "STR_SPLIT": exp.Split.from_arg_list,
 436            "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
 437            "TIME_BUCKET": exp.DateBin.from_arg_list,
 438            "TO_TIMESTAMP": exp.UnixToTime.from_arg_list,
 439            "UNNEST": exp.Explode.from_arg_list,
 440            "XOR": binary_from_function(exp.BitwiseXor),
 441        }
 442
 443        FUNCTIONS.pop("DATE_SUB")
 444        FUNCTIONS.pop("GLOB")
 445
 446        FUNCTION_PARSERS = {
 447            **parser.Parser.FUNCTION_PARSERS,
 448            **dict.fromkeys(
 449                ("GROUP_CONCAT", "LISTAGG", "STRINGAGG"), lambda self: self._parse_string_agg()
 450            ),
 451        }
 452        FUNCTION_PARSERS.pop("DECODE")
 453
 454        NO_PAREN_FUNCTION_PARSERS = {
 455            **parser.Parser.NO_PAREN_FUNCTION_PARSERS,
 456            "MAP": lambda self: self._parse_map(),
 457            "@": lambda self: exp.Abs(this=self._parse_bitwise()),
 458        }
 459
 460        TABLE_ALIAS_TOKENS = parser.Parser.TABLE_ALIAS_TOKENS - {
 461            TokenType.SEMI,
 462            TokenType.ANTI,
 463        }
 464
 465        PLACEHOLDER_PARSERS = {
 466            **parser.Parser.PLACEHOLDER_PARSERS,
 467            TokenType.PARAMETER: lambda self: (
 468                self.expression(exp.Placeholder, this=self._prev.text)
 469                if self._match(TokenType.NUMBER) or self._match_set(self.ID_VAR_TOKENS)
 470                else None
 471            ),
 472        }
 473
 474        TYPE_CONVERTERS = {
 475            # https://duckdb.org/docs/sql/data_types/numeric
 476            exp.DataType.Type.DECIMAL: build_default_decimal_type(precision=18, scale=3),
 477            # https://duckdb.org/docs/sql/data_types/text
 478            exp.DataType.Type.TEXT: lambda dtype: exp.DataType.build("TEXT"),
 479        }
 480
 481        STATEMENT_PARSERS = {
 482            **parser.Parser.STATEMENT_PARSERS,
 483            TokenType.ATTACH: lambda self: self._parse_attach_detach(),
 484            TokenType.DETACH: lambda self: self._parse_attach_detach(is_attach=False),
 485            TokenType.SHOW: lambda self: self._parse_show(),
 486        }
 487
 488        def _parse_expression(self) -> t.Optional[exp.Expression]:
 489            # DuckDB supports prefix aliases, e.g. foo: 1
 490            if self._next and self._next.token_type == TokenType.COLON:
 491                alias = self._parse_id_var(tokens=self.ALIAS_TOKENS)
 492                self._match(TokenType.COLON)
 493                comments = self._prev_comments or []
 494
 495                this = self._parse_assignment()
 496                if isinstance(this, exp.Expression):
 497                    # Moves the comment next to the alias in `alias: expr /* comment */`
 498                    comments += this.pop_comments() or []
 499
 500                return self.expression(exp.Alias, comments=comments, this=this, alias=alias)
 501
 502            return super()._parse_expression()
 503
 504        def _parse_table(
 505            self,
 506            schema: bool = False,
 507            joins: bool = False,
 508            alias_tokens: t.Optional[t.Collection[TokenType]] = None,
 509            parse_bracket: bool = False,
 510            is_db_reference: bool = False,
 511            parse_partition: bool = False,
 512        ) -> t.Optional[exp.Expression]:
 513            # DuckDB supports prefix aliases, e.g. FROM foo: bar
 514            if self._next and self._next.token_type == TokenType.COLON:
 515                alias = self._parse_table_alias(
 516                    alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS
 517                )
 518                self._match(TokenType.COLON)
 519                comments = self._prev_comments or []
 520            else:
 521                alias = None
 522                comments = []
 523
 524            table = super()._parse_table(
 525                schema=schema,
 526                joins=joins,
 527                alias_tokens=alias_tokens,
 528                parse_bracket=parse_bracket,
 529                is_db_reference=is_db_reference,
 530                parse_partition=parse_partition,
 531            )
 532            if isinstance(table, exp.Expression) and isinstance(alias, exp.TableAlias):
 533                # Moves the comment next to the alias in `alias: table /* comment */`
 534                comments += table.pop_comments() or []
 535                alias.comments = alias.pop_comments() + comments
 536                table.set("alias", alias)
 537
 538            return table
 539
 540        def _parse_table_sample(self, as_modifier: bool = False) -> t.Optional[exp.TableSample]:
 541            # https://duckdb.org/docs/sql/samples.html
 542            sample = super()._parse_table_sample(as_modifier=as_modifier)
 543            if sample and not sample.args.get("method"):
 544                if sample.args.get("size"):
 545                    sample.set("method", exp.var("RESERVOIR"))
 546                else:
 547                    sample.set("method", exp.var("SYSTEM"))
 548
 549            return sample
 550
 551        def _parse_bracket(
 552            self, this: t.Optional[exp.Expression] = None
 553        ) -> t.Optional[exp.Expression]:
 554            bracket = super()._parse_bracket(this)
 555
 556            if self.dialect.version < Version("1.2.0") and isinstance(bracket, exp.Bracket):
 557                # https://duckdb.org/2025/02/05/announcing-duckdb-120.html#breaking-changes
 558                bracket.set("returns_list_for_maps", True)
 559
 560            return bracket
 561
 562        def _parse_map(self) -> exp.ToMap | exp.Map:
 563            if self._match(TokenType.L_BRACE, advance=False):
 564                return self.expression(exp.ToMap, this=self._parse_bracket())
 565
 566            args = self._parse_wrapped_csv(self._parse_assignment)
 567            return self.expression(exp.Map, keys=seq_get(args, 0), values=seq_get(args, 1))
 568
 569        def _parse_struct_types(self, type_required: bool = False) -> t.Optional[exp.Expression]:
 570            return self._parse_field_def()
 571
 572        def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
 573            if len(aggregations) == 1:
 574                return super()._pivot_column_names(aggregations)
 575            return pivot_column_names(aggregations, dialect="duckdb")
 576
 577        def _parse_attach_detach(self, is_attach=True) -> exp.Attach | exp.Detach:
 578            def _parse_attach_option() -> exp.AttachOption:
 579                return self.expression(
 580                    exp.AttachOption,
 581                    this=self._parse_var(any_token=True),
 582                    expression=self._parse_field(any_token=True),
 583                )
 584
 585            self._match(TokenType.DATABASE)
 586            exists = self._parse_exists(not_=is_attach)
 587            this = self._parse_alias(self._parse_primary_or_var(), explicit=True)
 588
 589            if self._match(TokenType.L_PAREN, advance=False):
 590                expressions = self._parse_wrapped_csv(_parse_attach_option)
 591            else:
 592                expressions = None
 593
 594            return (
 595                self.expression(exp.Attach, this=this, exists=exists, expressions=expressions)
 596                if is_attach
 597                else self.expression(exp.Detach, this=this, exists=exists)
 598            )
 599
 600        def _parse_show_duckdb(self, this: str) -> exp.Show:
 601            return self.expression(exp.Show, this=this)
 602
 603    class Generator(generator.Generator):
 604        PARAMETER_TOKEN = "$"
 605        NAMED_PLACEHOLDER_TOKEN = "$"
 606        JOIN_HINTS = False
 607        TABLE_HINTS = False
 608        QUERY_HINTS = False
 609        LIMIT_FETCH = "LIMIT"
 610        STRUCT_DELIMITER = ("(", ")")
 611        RENAME_TABLE_WITH_DB = False
 612        NVL2_SUPPORTED = False
 613        SEMI_ANTI_JOIN_WITH_SIDE = False
 614        TABLESAMPLE_KEYWORDS = "USING SAMPLE"
 615        TABLESAMPLE_SEED_KEYWORD = "REPEATABLE"
 616        LAST_DAY_SUPPORTS_DATE_PART = False
 617        JSON_KEY_VALUE_PAIR_SEP = ","
 618        IGNORE_NULLS_IN_FUNC = True
 619        JSON_PATH_BRACKETED_KEY_SUPPORTED = False
 620        SUPPORTS_CREATE_TABLE_LIKE = False
 621        MULTI_ARG_DISTINCT = False
 622        CAN_IMPLEMENT_ARRAY_ANY = True
 623        SUPPORTS_TO_NUMBER = False
 624        COPY_HAS_INTO_KEYWORD = False
 625        STAR_EXCEPT = "EXCLUDE"
 626        PAD_FILL_PATTERN_IS_REQUIRED = True
 627        ARRAY_CONCAT_IS_VAR_LEN = False
 628        ARRAY_SIZE_DIM_REQUIRED = False
 629
 630        TRANSFORMS = {
 631            **generator.Generator.TRANSFORMS,
 632            exp.ApproxDistinct: approx_count_distinct_sql,
 633            exp.Array: inline_array_unless_query,
 634            exp.ArrayFilter: rename_func("LIST_FILTER"),
 635            exp.ArraySort: _array_sort_sql,
 636            exp.ArraySum: rename_func("LIST_SUM"),
 637            exp.BitwiseXor: rename_func("XOR"),
 638            exp.CommentColumnConstraint: no_comment_column_constraint_sql,
 639            exp.CurrentDate: lambda *_: "CURRENT_DATE",
 640            exp.CurrentTime: lambda *_: "CURRENT_TIME",
 641            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
 642            exp.DayOfMonth: rename_func("DAYOFMONTH"),
 643            exp.DayOfWeek: rename_func("DAYOFWEEK"),
 644            exp.DayOfWeekIso: rename_func("ISODOW"),
 645            exp.DayOfYear: rename_func("DAYOFYEAR"),
 646            exp.DataType: _datatype_sql,
 647            exp.Date: _date_sql,
 648            exp.DateAdd: _date_delta_sql,
 649            exp.DateFromParts: rename_func("MAKE_DATE"),
 650            exp.DateSub: _date_delta_sql,
 651            exp.DateDiff: _date_diff_sql,
 652            exp.DateStrToDate: datestrtodate_sql,
 653            exp.Datetime: no_datetime_sql,
 654            exp.DatetimeSub: _date_delta_sql,
 655            exp.DatetimeAdd: _date_delta_sql,
 656            exp.DateToDi: lambda self,
 657            e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.DATEINT_FORMAT}) AS INT)",
 658            exp.Decode: lambda self, e: encode_decode_sql(self, e, "DECODE", replace=False),
 659            exp.DiToDate: lambda self,
 660            e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.DATEINT_FORMAT}) AS DATE)",
 661            exp.Encode: lambda self, e: encode_decode_sql(self, e, "ENCODE", replace=False),
 662            exp.GenerateDateArray: _generate_datetime_array_sql,
 663            exp.GenerateTimestampArray: _generate_datetime_array_sql,
 664            exp.GroupConcat: lambda self, e: groupconcat_sql(self, e, within_group=False),
 665            exp.HexString: lambda self, e: self.hexstring_sql(e, binary_function_repr="FROM_HEX"),
 666            exp.Explode: rename_func("UNNEST"),
 667            exp.IntDiv: lambda self, e: self.binary(e, "//"),
 668            exp.IsInf: rename_func("ISINF"),
 669            exp.IsNan: rename_func("ISNAN"),
 670            exp.JSONBExists: rename_func("JSON_EXISTS"),
 671            exp.JSONExtract: _arrow_json_extract_sql,
 672            exp.JSONExtractArray: _json_extract_value_array_sql,
 673            exp.JSONExtractScalar: _arrow_json_extract_sql,
 674            exp.JSONFormat: _json_format_sql,
 675            exp.JSONValueArray: _json_extract_value_array_sql,
 676            exp.Lateral: explode_to_unnest_sql,
 677            exp.LogicalOr: rename_func("BOOL_OR"),
 678            exp.LogicalAnd: rename_func("BOOL_AND"),
 679            exp.MakeInterval: lambda self, e: no_make_interval_sql(self, e, sep=" "),
 680            exp.MD5Digest: lambda self, e: self.func("UNHEX", self.func("MD5", e.this)),
 681            exp.MonthsBetween: lambda self, e: self.func(
 682                "DATEDIFF",
 683                "'month'",
 684                exp.cast(e.expression, exp.DataType.Type.TIMESTAMP, copy=True),
 685                exp.cast(e.this, exp.DataType.Type.TIMESTAMP, copy=True),
 686            ),
 687            exp.PercentileCont: rename_func("QUANTILE_CONT"),
 688            exp.PercentileDisc: rename_func("QUANTILE_DISC"),
 689            # DuckDB doesn't allow qualified columns inside of PIVOT expressions.
 690            # See: https://github.com/duckdb/duckdb/blob/671faf92411182f81dce42ac43de8bfb05d9909e/src/planner/binder/tableref/bind_pivot.cpp#L61-L62
 691            exp.Pivot: transforms.preprocess([transforms.unqualify_columns]),
 692            exp.RegexpReplace: lambda self, e: self.func(
 693                "REGEXP_REPLACE",
 694                e.this,
 695                e.expression,
 696                e.args.get("replacement"),
 697                e.args.get("modifiers"),
 698            ),
 699            exp.RegexpLike: rename_func("REGEXP_MATCHES"),
 700            exp.RegexpILike: lambda self, e: self.func(
 701                "REGEXP_MATCHES", e.this, e.expression, exp.Literal.string("i")
 702            ),
 703            exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"),
 704            exp.Return: lambda self, e: self.sql(e, "this"),
 705            exp.ReturnsProperty: lambda self, e: "TABLE" if isinstance(e.this, exp.Schema) else "",
 706            exp.Rand: rename_func("RANDOM"),
 707            exp.SHA: rename_func("SHA1"),
 708            exp.SHA2: sha256_sql,
 709            exp.Split: rename_func("STR_SPLIT"),
 710            exp.SortArray: _sort_array_sql,
 711            exp.StrPosition: strposition_sql,
 712            exp.StrToUnix: lambda self, e: self.func(
 713                "EPOCH", self.func("STRPTIME", e.this, self.format_time(e))
 714            ),
 715            exp.Struct: _struct_sql,
 716            exp.Transform: rename_func("LIST_TRANSFORM"),
 717            exp.TimeAdd: _date_delta_sql,
 718            exp.Time: no_time_sql,
 719            exp.TimeDiff: _timediff_sql,
 720            exp.Timestamp: no_timestamp_sql,
 721            exp.TimestampDiff: lambda self, e: self.func(
 722                "DATE_DIFF", exp.Literal.string(e.unit), e.expression, e.this
 723            ),
 724            exp.TimestampTrunc: timestamptrunc_sql(),
 725            exp.TimeStrToDate: lambda self, e: self.sql(exp.cast(e.this, exp.DataType.Type.DATE)),
 726            exp.TimeStrToTime: timestrtotime_sql,
 727            exp.TimeStrToUnix: lambda self, e: self.func(
 728                "EPOCH", exp.cast(e.this, exp.DataType.Type.TIMESTAMP)
 729            ),
 730            exp.TimeToStr: lambda self, e: self.func("STRFTIME", e.this, self.format_time(e)),
 731            exp.TimeToUnix: rename_func("EPOCH"),
 732            exp.TsOrDiToDi: lambda self,
 733            e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)",
 734            exp.TsOrDsAdd: _date_delta_sql,
 735            exp.TsOrDsDiff: lambda self, e: self.func(
 736                "DATE_DIFF",
 737                f"'{e.args.get('unit') or 'DAY'}'",
 738                exp.cast(e.expression, exp.DataType.Type.TIMESTAMP),
 739                exp.cast(e.this, exp.DataType.Type.TIMESTAMP),
 740            ),
 741            exp.UnixToStr: lambda self, e: self.func(
 742                "STRFTIME", self.func("TO_TIMESTAMP", e.this), self.format_time(e)
 743            ),
 744            exp.DatetimeTrunc: lambda self, e: self.func(
 745                "DATE_TRUNC", unit_to_str(e), exp.cast(e.this, exp.DataType.Type.DATETIME)
 746            ),
 747            exp.UnixToTime: _unix_to_time_sql,
 748            exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)",
 749            exp.VariancePop: rename_func("VAR_POP"),
 750            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
 751            exp.Xor: bool_xor_sql,
 752            exp.Levenshtein: unsupported_args("ins_cost", "del_cost", "sub_cost", "max_dist")(
 753                rename_func("LEVENSHTEIN")
 754            ),
 755            exp.JSONObjectAgg: rename_func("JSON_GROUP_OBJECT"),
 756            exp.JSONBObjectAgg: rename_func("JSON_GROUP_OBJECT"),
 757            exp.DateBin: rename_func("TIME_BUCKET"),
 758        }
 759
 760        SUPPORTED_JSON_PATH_PARTS = {
 761            exp.JSONPathKey,
 762            exp.JSONPathRoot,
 763            exp.JSONPathSubscript,
 764            exp.JSONPathWildcard,
 765        }
 766
 767        TYPE_MAPPING = {
 768            **generator.Generator.TYPE_MAPPING,
 769            exp.DataType.Type.BINARY: "BLOB",
 770            exp.DataType.Type.BPCHAR: "TEXT",
 771            exp.DataType.Type.CHAR: "TEXT",
 772            exp.DataType.Type.DATETIME: "TIMESTAMP",
 773            exp.DataType.Type.FLOAT: "REAL",
 774            exp.DataType.Type.JSONB: "JSON",
 775            exp.DataType.Type.NCHAR: "TEXT",
 776            exp.DataType.Type.NVARCHAR: "TEXT",
 777            exp.DataType.Type.UINT: "UINTEGER",
 778            exp.DataType.Type.VARBINARY: "BLOB",
 779            exp.DataType.Type.ROWVERSION: "BLOB",
 780            exp.DataType.Type.VARCHAR: "TEXT",
 781            exp.DataType.Type.TIMESTAMPNTZ: "TIMESTAMP",
 782            exp.DataType.Type.TIMESTAMP_S: "TIMESTAMP_S",
 783            exp.DataType.Type.TIMESTAMP_MS: "TIMESTAMP_MS",
 784            exp.DataType.Type.TIMESTAMP_NS: "TIMESTAMP_NS",
 785        }
 786
 787        # https://github.com/duckdb/duckdb/blob/ff7f24fd8e3128d94371827523dae85ebaf58713/third_party/libpg_query/grammar/keywords/reserved_keywords.list#L1-L77
 788        RESERVED_KEYWORDS = {
 789            "array",
 790            "analyse",
 791            "union",
 792            "all",
 793            "when",
 794            "in_p",
 795            "default",
 796            "create_p",
 797            "window",
 798            "asymmetric",
 799            "to",
 800            "else",
 801            "localtime",
 802            "from",
 803            "end_p",
 804            "select",
 805            "current_date",
 806            "foreign",
 807            "with",
 808            "grant",
 809            "session_user",
 810            "or",
 811            "except",
 812            "references",
 813            "fetch",
 814            "limit",
 815            "group_p",
 816            "leading",
 817            "into",
 818            "collate",
 819            "offset",
 820            "do",
 821            "then",
 822            "localtimestamp",
 823            "check_p",
 824            "lateral_p",
 825            "current_role",
 826            "where",
 827            "asc_p",
 828            "placing",
 829            "desc_p",
 830            "user",
 831            "unique",
 832            "initially",
 833            "column",
 834            "both",
 835            "some",
 836            "as",
 837            "any",
 838            "only",
 839            "deferrable",
 840            "null_p",
 841            "current_time",
 842            "true_p",
 843            "table",
 844            "case",
 845            "trailing",
 846            "variadic",
 847            "for",
 848            "on",
 849            "distinct",
 850            "false_p",
 851            "not",
 852            "constraint",
 853            "current_timestamp",
 854            "returning",
 855            "primary",
 856            "intersect",
 857            "having",
 858            "analyze",
 859            "current_user",
 860            "and",
 861            "cast",
 862            "symmetric",
 863            "using",
 864            "order",
 865            "current_catalog",
 866        }
 867
 868        UNWRAPPED_INTERVAL_VALUES = (exp.Literal, exp.Paren)
 869
 870        # DuckDB doesn't generally support CREATE TABLE .. properties
 871        # https://duckdb.org/docs/sql/statements/create_table.html
 872        PROPERTIES_LOCATION = {
 873            prop: exp.Properties.Location.UNSUPPORTED
 874            for prop in generator.Generator.PROPERTIES_LOCATION
 875        }
 876
 877        # There are a few exceptions (e.g. temporary tables) which are supported or
 878        # can be transpiled to DuckDB, so we explicitly override them accordingly
 879        PROPERTIES_LOCATION[exp.LikeProperty] = exp.Properties.Location.POST_SCHEMA
 880        PROPERTIES_LOCATION[exp.TemporaryProperty] = exp.Properties.Location.POST_CREATE
 881        PROPERTIES_LOCATION[exp.ReturnsProperty] = exp.Properties.Location.POST_ALIAS
 882
 883        def show_sql(self, expression: exp.Show) -> str:
 884            return f"SHOW {expression.name}"
 885
 886        def fromiso8601timestamp_sql(self, expression: exp.FromISO8601Timestamp) -> str:
 887            return self.sql(exp.cast(expression.this, exp.DataType.Type.TIMESTAMPTZ))
 888
 889        def strtotime_sql(self, expression: exp.StrToTime) -> str:
 890            if expression.args.get("safe"):
 891                formatted_time = self.format_time(expression)
 892                return f"CAST({self.func('TRY_STRPTIME', expression.this, formatted_time)} AS TIMESTAMP)"
 893            return str_to_time_sql(self, expression)
 894
 895        def strtodate_sql(self, expression: exp.StrToDate) -> str:
 896            if expression.args.get("safe"):
 897                formatted_time = self.format_time(expression)
 898                return f"CAST({self.func('TRY_STRPTIME', expression.this, formatted_time)} AS DATE)"
 899            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
 900
 901        def parsejson_sql(self, expression: exp.ParseJSON) -> str:
 902            arg = expression.this
 903            if expression.args.get("safe"):
 904                return self.sql(exp.case().when(exp.func("json_valid", arg), arg).else_(exp.null()))
 905            return self.func("JSON", arg)
 906
 907        def timefromparts_sql(self, expression: exp.TimeFromParts) -> str:
 908            nano = expression.args.get("nano")
 909            if nano is not None:
 910                expression.set(
 911                    "sec", expression.args["sec"] + nano.pop() / exp.Literal.number(1000000000.0)
 912                )
 913
 914            return rename_func("MAKE_TIME")(self, expression)
 915
 916        def timestampfromparts_sql(self, expression: exp.TimestampFromParts) -> str:
 917            sec = expression.args["sec"]
 918
 919            milli = expression.args.get("milli")
 920            if milli is not None:
 921                sec += milli.pop() / exp.Literal.number(1000.0)
 922
 923            nano = expression.args.get("nano")
 924            if nano is not None:
 925                sec += nano.pop() / exp.Literal.number(1000000000.0)
 926
 927            if milli or nano:
 928                expression.set("sec", sec)
 929
 930            return rename_func("MAKE_TIMESTAMP")(self, expression)
 931
 932        def tablesample_sql(
 933            self,
 934            expression: exp.TableSample,
 935            tablesample_keyword: t.Optional[str] = None,
 936        ) -> str:
 937            if not isinstance(expression.parent, exp.Select):
 938                # This sample clause only applies to a single source, not the entire resulting relation
 939                tablesample_keyword = "TABLESAMPLE"
 940
 941            if expression.args.get("size"):
 942                method = expression.args.get("method")
 943                if method and method.name.upper() != "RESERVOIR":
 944                    self.unsupported(
 945                        f"Sampling method {method} is not supported with a discrete sample count, "
 946                        "defaulting to reservoir sampling"
 947                    )
 948                    expression.set("method", exp.var("RESERVOIR"))
 949
 950            return super().tablesample_sql(expression, tablesample_keyword=tablesample_keyword)
 951
 952        def interval_sql(self, expression: exp.Interval) -> str:
 953            multiplier: t.Optional[int] = None
 954            unit = expression.text("unit").lower()
 955
 956            if unit.startswith("week"):
 957                multiplier = 7
 958            if unit.startswith("quarter"):
 959                multiplier = 90
 960
 961            if multiplier:
 962                return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('DAY')))})"
 963
 964            return super().interval_sql(expression)
 965
 966        def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
 967            if isinstance(expression.parent, exp.UserDefinedFunction):
 968                return self.sql(expression, "this")
 969            return super().columndef_sql(expression, sep)
 970
 971        def join_sql(self, expression: exp.Join) -> str:
 972            if (
 973                expression.side == "LEFT"
 974                and not expression.args.get("on")
 975                and isinstance(expression.this, exp.Unnest)
 976            ):
 977                # Some dialects support `LEFT JOIN UNNEST(...)` without an explicit ON clause
 978                # DuckDB doesn't, but we can just add a dummy ON clause that is always true
 979                return super().join_sql(expression.on(exp.true()))
 980
 981            return super().join_sql(expression)
 982
 983        def generateseries_sql(self, expression: exp.GenerateSeries) -> str:
 984            # GENERATE_SERIES(a, b) -> [a, b], RANGE(a, b) -> [a, b)
 985            if expression.args.get("is_end_exclusive"):
 986                return rename_func("RANGE")(self, expression)
 987
 988            return self.function_fallback_sql(expression)
 989
 990        def countif_sql(self, expression: exp.CountIf) -> str:
 991            if self.dialect.version >= Version("1.2"):
 992                return self.function_fallback_sql(expression)
 993
 994            # https://github.com/tobymao/sqlglot/pull/4749
 995            return count_if_to_sum(self, expression)
 996
 997        def bracket_sql(self, expression: exp.Bracket) -> str:
 998            if self.dialect.version >= Version("1.2"):
 999                return super().bracket_sql(expression)
1000
1001            # https://duckdb.org/2025/02/05/announcing-duckdb-120.html#breaking-changes
1002            this = expression.this
1003            if isinstance(this, exp.Array):
1004                this.replace(exp.paren(this))
1005
1006            bracket = super().bracket_sql(expression)
1007
1008            if not expression.args.get("returns_list_for_maps"):
1009                if not this.type:
1010                    from sqlglot.optimizer.annotate_types import annotate_types
1011
1012                    this = annotate_types(this, dialect=self.dialect)
1013
1014                if this.is_type(exp.DataType.Type.MAP):
1015                    bracket = f"({bracket})[1]"
1016
1017            return bracket
1018
1019        def withingroup_sql(self, expression: exp.WithinGroup) -> str:
1020            expression_sql = self.sql(expression, "expression")
1021
1022            func = expression.this
1023            if isinstance(func, exp.PERCENTILES):
1024                # Make the order key the first arg and slide the fraction to the right
1025                # https://duckdb.org/docs/sql/aggregates#ordered-set-aggregate-functions
1026                order_col = expression.find(exp.Ordered)
1027                if order_col:
1028                    func.set("expression", func.this)
1029                    func.set("this", order_col.this)
1030
1031            this = self.sql(expression, "this").rstrip(")")
1032
1033            return f"{this}{expression_sql})"
1034
1035        def length_sql(self, expression: exp.Length) -> str:
1036            arg = expression.this
1037
1038            # Dialects like BQ and Snowflake also accept binary values as args, so
1039            # DDB will attempt to infer the type or resort to case/when resolution
1040            if not expression.args.get("binary") or arg.is_string:
1041                return self.func("LENGTH", arg)
1042
1043            if not arg.type:
1044                from sqlglot.optimizer.annotate_types import annotate_types
1045
1046                arg = annotate_types(arg, dialect=self.dialect)
1047
1048            if arg.is_type(*exp.DataType.TEXT_TYPES):
1049                return self.func("LENGTH", arg)
1050
1051            # We need these casts to make duckdb's static type checker happy
1052            blob = exp.cast(arg, exp.DataType.Type.VARBINARY)
1053            varchar = exp.cast(arg, exp.DataType.Type.VARCHAR)
1054
1055            case = (
1056                exp.case(self.func("TYPEOF", arg))
1057                .when("'BLOB'", self.func("OCTET_LENGTH", blob))
1058                .else_(
1059                    exp.Anonymous(this="LENGTH", expressions=[varchar])
1060                )  # anonymous to break length_sql recursion
1061            )
1062
1063            return self.sql(case)
1064
1065        def objectinsert_sql(self, expression: exp.ObjectInsert) -> str:
1066            this = expression.this
1067            key = expression.args.get("key")
1068            key_sql = key.name if isinstance(key, exp.Expression) else ""
1069            value_sql = self.sql(expression, "value")
1070
1071            kv_sql = f"{key_sql} := {value_sql}"
1072
1073            # If the input struct is empty e.g. transpiling OBJECT_INSERT(OBJECT_CONSTRUCT(), key, value) from Snowflake
1074            # then we can generate STRUCT_PACK which will build it since STRUCT_INSERT({}, key := value) is not valid DuckDB
1075            if isinstance(this, exp.Struct) and not this.expressions:
1076                return self.func("STRUCT_PACK", kv_sql)
1077
1078            return self.func("STRUCT_INSERT", this, kv_sql)
1079
1080        def unnest_sql(self, expression: exp.Unnest) -> str:
1081            explode_array = expression.args.get("explode_array")
1082            if explode_array:
1083                # In BigQuery, UNNESTing a nested array leads to explosion of the top-level array & struct
1084                # This is transpiled to DDB by transforming "FROM UNNEST(...)" to "FROM (SELECT UNNEST(..., max_depth => 2))"
1085                expression.expressions.append(
1086                    exp.Kwarg(this=exp.var("max_depth"), expression=exp.Literal.number(2))
1087                )
1088
1089                # If BQ's UNNEST is aliased, we transform it from a column alias to a table alias in DDB
1090                alias = expression.args.get("alias")
1091                if alias:
1092                    expression.set("alias", None)
1093                    alias = exp.TableAlias(this=seq_get(alias.args.get("columns"), 0))
1094
1095                unnest_sql = super().unnest_sql(expression)
1096                select = exp.Select(expressions=[unnest_sql]).subquery(alias)
1097                return self.sql(select)
1098
1099            return super().unnest_sql(expression)
1100
1101        def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
1102            if isinstance(expression.this, WINDOW_FUNCS_WITH_IGNORE_NULLS):
1103                # DuckDB should render IGNORE NULLS only for the general-purpose
1104                # window functions that accept it e.g. FIRST_VALUE(... IGNORE NULLS) OVER (...)
1105                return super().ignorenulls_sql(expression)
1106
1107            return self.sql(expression, "this")
1108
1109        def arraytostring_sql(self, expression: exp.ArrayToString) -> str:
1110            this = self.sql(expression, "this")
1111            null_text = self.sql(expression, "null")
1112
1113            if null_text:
1114                this = f"LIST_TRANSFORM({this}, x -> COALESCE(x, {null_text}))"
1115
1116            return self.func("ARRAY_TO_STRING", this, expression.expression)
1117
1118        @unsupported_args("position", "occurrence")
1119        def regexpextract_sql(self, expression: exp.RegexpExtract) -> str:
1120            group = expression.args.get("group")
1121            params = expression.args.get("parameters")
1122
1123            # Do not render group if there is no following argument,
1124            # and it's the default value for this dialect
1125            if (
1126                not params
1127                and group
1128                and group.name == str(self.dialect.REGEXP_EXTRACT_DEFAULT_GROUP)
1129            ):
1130                group = None
1131            return self.func(
1132                "REGEXP_EXTRACT", expression.this, expression.expression, group, params
1133            )
1134
1135        @unsupported_args("culture")
1136        def numbertostr_sql(self, expression: exp.NumberToStr) -> str:
1137            fmt = expression.args.get("format")
1138            if fmt and fmt.is_int:
1139                return self.func("FORMAT", f"'{{:,.{fmt.name}f}}'", expression.this)
1140
1141            self.unsupported("Only integer formats are supported by NumberToStr")
1142            return self.function_fallback_sql(expression)
1143
1144        def autoincrementcolumnconstraint_sql(self, _) -> str:
1145            self.unsupported("The AUTOINCREMENT column constraint is not supported by DuckDB")
1146            return ""
NULL_ORDERING = 'nulls_are_last'

Default NULL ordering method to use if not explicitly set. Possible values: "nulls_are_small", "nulls_are_large", "nulls_are_last"

SUPPORTS_USER_DEFINED_TYPES = True

Whether user-defined data types are supported.

SAFE_DIVISION = True

Whether division by zero throws an error (False) or returns NULL (True).

INDEX_OFFSET = 1

The base index offset for arrays.

CONCAT_COALESCE = True

A NULL arg in CONCAT yields NULL by default, but in some dialects it yields an empty string.

SUPPORTS_ORDER_BY_ALL = True

Whether ORDER BY ALL is supported (expands to all the selected columns) as in DuckDB, Spark3/Databricks

SUPPORTS_FIXED_SIZE_ARRAYS = True

Whether expressions such as x::INT[5] should be parsed as fixed-size array defs/casts e.g. in DuckDB. In dialects which don't support fixed size arrays such as Snowflake, this should be interpreted as a subscript/index operator.

STRICT_JSON_PATH_SYNTAX = False

Whether failing to parse a JSON path expression using the JSONPath dialect will log a warning.

NUMBERS_CAN_BE_UNDERSCORE_SEPARATED = True

Whether number literals can include underscores for better readability

NORMALIZATION_STRATEGY = <NormalizationStrategy.CASE_INSENSITIVE: 'CASE_INSENSITIVE'>

Specifies the strategy according to which identifiers should be normalized.

def to_json_path( self, path: Optional[sqlglot.expressions.Expression]) -> Optional[sqlglot.expressions.Expression]:
301    def to_json_path(self, path: t.Optional[exp.Expression]) -> t.Optional[exp.Expression]:
302        if isinstance(path, exp.Literal):
303            # DuckDB also supports the JSON pointer syntax, where every path starts with a `/`.
304            # Additionally, it allows accessing the back of lists using the `[#-i]` syntax.
305            # This check ensures we'll avoid trying to parse these as JSON paths, which can
306            # either result in a noisy warning or in an invalid representation of the path.
307            path_text = path.name
308            if path_text.startswith("/") or "[#" in path_text:
309                return path
310
311        return super().to_json_path(path)
SUPPORTS_COLUMN_JOIN_MARKS = False

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

tokenizer_class = <class 'DuckDB.Tokenizer'>
jsonpath_tokenizer_class = <class 'sqlglot.tokens.JSONPathTokenizer'>
parser_class = <class 'DuckDB.Parser'>
generator_class = <class 'DuckDB.Generator'>
TIME_TRIE: Dict = {}
FORMAT_TRIE: Dict = {}
INVERSE_TIME_MAPPING: Dict[str, str] = {}
INVERSE_TIME_TRIE: Dict = {}
INVERSE_FORMAT_MAPPING: Dict[str, str] = {}
INVERSE_FORMAT_TRIE: Dict = {}
INVERSE_CREATABLE_KIND_MAPPING: dict[str, str] = {}
ESCAPED_SEQUENCES: Dict[str, str] = {}
QUOTE_START = "'"
QUOTE_END = "'"
IDENTIFIER_START = '"'
IDENTIFIER_END = '"'
BIT_START: Optional[str] = None
BIT_END: Optional[str] = None
HEX_START: Optional[str] = None
HEX_END: Optional[str] = None
BYTE_START: Optional[str] = "e'"
BYTE_END: Optional[str] = "'"
UNICODE_START: Optional[str] = None
UNICODE_END: Optional[str] = None
class DuckDB.Tokenizer(sqlglot.tokens.Tokenizer):
313    class Tokenizer(tokens.Tokenizer):
314        BYTE_STRINGS = [("e'", "'"), ("E'", "'")]
315        HEREDOC_STRINGS = ["$"]
316
317        HEREDOC_TAG_IS_IDENTIFIER = True
318        HEREDOC_STRING_ALTERNATIVE = TokenType.PARAMETER
319
320        KEYWORDS = {
321            **tokens.Tokenizer.KEYWORDS,
322            "//": TokenType.DIV,
323            "**": TokenType.DSTAR,
324            "^@": TokenType.CARET_AT,
325            "@>": TokenType.AT_GT,
326            "<@": TokenType.LT_AT,
327            "ATTACH": TokenType.ATTACH,
328            "BINARY": TokenType.VARBINARY,
329            "BITSTRING": TokenType.BIT,
330            "BPCHAR": TokenType.TEXT,
331            "CHAR": TokenType.TEXT,
332            "CHARACTER VARYING": TokenType.TEXT,
333            "DETACH": TokenType.DETACH,
334            "EXCLUDE": TokenType.EXCEPT,
335            "LOGICAL": TokenType.BOOLEAN,
336            "ONLY": TokenType.ONLY,
337            "PIVOT_WIDER": TokenType.PIVOT,
338            "POSITIONAL": TokenType.POSITIONAL,
339            "SIGNED": TokenType.INT,
340            "STRING": TokenType.TEXT,
341            "SUMMARIZE": TokenType.SUMMARIZE,
342            "TIMESTAMP_S": TokenType.TIMESTAMP_S,
343            "TIMESTAMP_MS": TokenType.TIMESTAMP_MS,
344            "TIMESTAMP_NS": TokenType.TIMESTAMP_NS,
345            "TIMESTAMP_US": TokenType.TIMESTAMP,
346            "UBIGINT": TokenType.UBIGINT,
347            "UINTEGER": TokenType.UINT,
348            "USMALLINT": TokenType.USMALLINT,
349            "UTINYINT": TokenType.UTINYINT,
350            "VARCHAR": TokenType.TEXT,
351        }
352        KEYWORDS.pop("/*+")
353
354        SINGLE_TOKENS = {
355            **tokens.Tokenizer.SINGLE_TOKENS,
356            "$": TokenType.PARAMETER,
357        }
358
359        COMMANDS = tokens.Tokenizer.COMMANDS - {TokenType.SHOW}
BYTE_STRINGS = [("e'", "'"), ("E'", "'")]
HEREDOC_STRINGS = ['$']
HEREDOC_TAG_IS_IDENTIFIER = True
HEREDOC_STRING_ALTERNATIVE = <TokenType.PARAMETER: 'PARAMETER'>
KEYWORDS = {'{%': <TokenType.BLOCK_START: 'BLOCK_START'>, '{%+': <TokenType.BLOCK_START: 'BLOCK_START'>, '{%-': <TokenType.BLOCK_START: 'BLOCK_START'>, '%}': <TokenType.BLOCK_END: 'BLOCK_END'>, '+%}': <TokenType.BLOCK_END: 'BLOCK_END'>, '-%}': <TokenType.BLOCK_END: 'BLOCK_END'>, '{{+': <TokenType.BLOCK_START: 'BLOCK_START'>, '{{-': <TokenType.BLOCK_START: 'BLOCK_START'>, '+}}': <TokenType.BLOCK_END: 'BLOCK_END'>, '-}}': <TokenType.BLOCK_END: 'BLOCK_END'>, '==': <TokenType.EQ: 'EQ'>, '::': <TokenType.DCOLON: 'DCOLON'>, '||': <TokenType.DPIPE: 'DPIPE'>, '>=': <TokenType.GTE: 'GTE'>, '<=': <TokenType.LTE: 'LTE'>, '<>': <TokenType.NEQ: 'NEQ'>, '!=': <TokenType.NEQ: 'NEQ'>, ':=': <TokenType.COLON_EQ: 'COLON_EQ'>, '<=>': <TokenType.NULLSAFE_EQ: 'NULLSAFE_EQ'>, '->': <TokenType.ARROW: 'ARROW'>, '->>': <TokenType.DARROW: 'DARROW'>, '=>': <TokenType.FARROW: 'FARROW'>, '#>': <TokenType.HASH_ARROW: 'HASH_ARROW'>, '#>>': <TokenType.DHASH_ARROW: 'DHASH_ARROW'>, '<->': <TokenType.LR_ARROW: 'LR_ARROW'>, '&&': <TokenType.DAMP: 'DAMP'>, '??': <TokenType.DQMARK: 'DQMARK'>, '~~~': <TokenType.GLOB: 'GLOB'>, '~~': <TokenType.LIKE: 'LIKE'>, '~~*': <TokenType.ILIKE: 'ILIKE'>, '~*': <TokenType.IRLIKE: 'IRLIKE'>, 'ALL': <TokenType.ALL: 'ALL'>, 'ALWAYS': <TokenType.ALWAYS: 'ALWAYS'>, 'AND': <TokenType.AND: 'AND'>, 'ANTI': <TokenType.ANTI: 'ANTI'>, 'ANY': <TokenType.ANY: 'ANY'>, 'ASC': <TokenType.ASC: 'ASC'>, 'AS': <TokenType.ALIAS: 'ALIAS'>, 'ASOF': <TokenType.ASOF: 'ASOF'>, 'AUTOINCREMENT': <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, 'AUTO_INCREMENT': <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, 'BEGIN': <TokenType.BEGIN: 'BEGIN'>, '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'>, 'DIV': <TokenType.DIV: 'DIV'>, 'DROP': <TokenType.DROP: 'DROP'>, 'ELSE': <TokenType.ELSE: 'ELSE'>, 'END': <TokenType.END: 'END'>, 'ENUM': <TokenType.ENUM: 'ENUM'>, 'ESCAPE': <TokenType.ESCAPE: 'ESCAPE'>, 'EXCEPT': <TokenType.EXCEPT: 'EXCEPT'>, 'EXECUTE': <TokenType.EXECUTE: 'EXECUTE'>, 'EXISTS': <TokenType.EXISTS: 'EXISTS'>, 'FALSE': <TokenType.FALSE: 'FALSE'>, 'FETCH': <TokenType.FETCH: 'FETCH'>, 'FILTER': <TokenType.FILTER: 'FILTER'>, 'FIRST': <TokenType.FIRST: 'FIRST'>, 'FULL': <TokenType.FULL: 'FULL'>, 'FUNCTION': <TokenType.FUNCTION: 'FUNCTION'>, 'FOR': <TokenType.FOR: 'FOR'>, 'FOREIGN KEY': <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, 'FORMAT': <TokenType.FORMAT: 'FORMAT'>, 'FROM': <TokenType.FROM: 'FROM'>, 'GEOGRAPHY': <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, 'GEOMETRY': <TokenType.GEOMETRY: 'GEOMETRY'>, 'GLOB': <TokenType.GLOB: 'GLOB'>, 'GROUP BY': <TokenType.GROUP_BY: 'GROUP_BY'>, 'GROUPING SETS': <TokenType.GROUPING_SETS: 'GROUPING_SETS'>, 'HAVING': <TokenType.HAVING: 'HAVING'>, 'ILIKE': <TokenType.ILIKE: 'ILIKE'>, 'IN': <TokenType.IN: 'IN'>, 'INDEX': <TokenType.INDEX: 'INDEX'>, 'INET': <TokenType.INET: 'INET'>, 'INNER': <TokenType.INNER: 'INNER'>, 'INSERT': <TokenType.INSERT: 'INSERT'>, 'INTERVAL': <TokenType.INTERVAL: 'INTERVAL'>, 'INTERSECT': <TokenType.INTERSECT: 'INTERSECT'>, 'INTO': <TokenType.INTO: 'INTO'>, 'IS': <TokenType.IS: 'IS'>, 'ISNULL': <TokenType.ISNULL: 'ISNULL'>, 'JOIN': <TokenType.JOIN: 'JOIN'>, 'KEEP': <TokenType.KEEP: 'KEEP'>, 'KILL': <TokenType.KILL: 'KILL'>, 'LATERAL': <TokenType.LATERAL: 'LATERAL'>, 'LEFT': <TokenType.LEFT: 'LEFT'>, 'LIKE': <TokenType.LIKE: 'LIKE'>, 'LIMIT': <TokenType.LIMIT: 'LIMIT'>, 'LOAD': <TokenType.LOAD: 'LOAD'>, 'LOCK': <TokenType.LOCK: 'LOCK'>, 'MERGE': <TokenType.MERGE: 'MERGE'>, 'NAMESPACE': <TokenType.NAMESPACE: 'NAMESPACE'>, 'NATURAL': <TokenType.NATURAL: 'NATURAL'>, 'NEXT': <TokenType.NEXT: 'NEXT'>, 'NOT': <TokenType.NOT: 'NOT'>, 'NOTNULL': <TokenType.NOTNULL: 'NOTNULL'>, 'NULL': <TokenType.NULL: 'NULL'>, 'OBJECT': <TokenType.OBJECT: 'OBJECT'>, 'OFFSET': <TokenType.OFFSET: 'OFFSET'>, 'ON': <TokenType.ON: 'ON'>, 'OR': <TokenType.OR: 'OR'>, 'XOR': <TokenType.XOR: 'XOR'>, 'ORDER BY': <TokenType.ORDER_BY: 'ORDER_BY'>, 'ORDINALITY': <TokenType.ORDINALITY: 'ORDINALITY'>, 'OUTER': <TokenType.OUTER: 'OUTER'>, 'OVER': <TokenType.OVER: 'OVER'>, 'OVERLAPS': <TokenType.OVERLAPS: 'OVERLAPS'>, 'OVERWRITE': <TokenType.OVERWRITE: 'OVERWRITE'>, 'PARTITION': <TokenType.PARTITION: 'PARTITION'>, 'PARTITION BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PARTITIONED BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PARTITIONED_BY': <TokenType.PARTITION_BY: 'PARTITION_BY'>, 'PERCENT': <TokenType.PERCENT: 'PERCENT'>, 'PIVOT': <TokenType.PIVOT: 'PIVOT'>, 'PRAGMA': <TokenType.PRAGMA: 'PRAGMA'>, 'PRIMARY KEY': <TokenType.PRIMARY_KEY: 'PRIMARY_KEY'>, 'PROCEDURE': <TokenType.PROCEDURE: 'PROCEDURE'>, 'QUALIFY': <TokenType.QUALIFY: 'QUALIFY'>, 'RANGE': <TokenType.RANGE: 'RANGE'>, 'RECURSIVE': <TokenType.RECURSIVE: 'RECURSIVE'>, 'REGEXP': <TokenType.RLIKE: 'RLIKE'>, 'RENAME': <TokenType.RENAME: 'RENAME'>, 'REPLACE': <TokenType.REPLACE: 'REPLACE'>, 'RETURNING': <TokenType.RETURNING: 'RETURNING'>, 'REFERENCES': <TokenType.REFERENCES: 'REFERENCES'>, 'RIGHT': <TokenType.RIGHT: 'RIGHT'>, 'RLIKE': <TokenType.RLIKE: 'RLIKE'>, 'ROLLBACK': <TokenType.ROLLBACK: 'ROLLBACK'>, 'ROLLUP': <TokenType.ROLLUP: 'ROLLUP'>, 'ROW': <TokenType.ROW: 'ROW'>, 'ROWS': <TokenType.ROWS: 'ROWS'>, 'SCHEMA': <TokenType.SCHEMA: 'SCHEMA'>, 'SELECT': <TokenType.SELECT: 'SELECT'>, 'SEMI': <TokenType.SEMI: 'SEMI'>, 'SET': <TokenType.SET: 'SET'>, 'SETTINGS': <TokenType.SETTINGS: 'SETTINGS'>, 'SHOW': <TokenType.SHOW: 'SHOW'>, 'SIMILAR TO': <TokenType.SIMILAR_TO: 'SIMILAR_TO'>, 'SOME': <TokenType.SOME: 'SOME'>, 'SORT BY': <TokenType.SORT_BY: 'SORT_BY'>, 'START WITH': <TokenType.START_WITH: 'START_WITH'>, 'STRAIGHT_JOIN': <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, 'TABLE': <TokenType.TABLE: 'TABLE'>, 'TABLESAMPLE': <TokenType.TABLE_SAMPLE: 'TABLE_SAMPLE'>, 'TEMP': <TokenType.TEMPORARY: 'TEMPORARY'>, 'TEMPORARY': <TokenType.TEMPORARY: 'TEMPORARY'>, 'THEN': <TokenType.THEN: 'THEN'>, 'TRUE': <TokenType.TRUE: 'TRUE'>, 'TRUNCATE': <TokenType.TRUNCATE: 'TRUNCATE'>, 'UNION': <TokenType.UNION: 'UNION'>, 'UNKNOWN': <TokenType.UNKNOWN: 'UNKNOWN'>, 'UNNEST': <TokenType.UNNEST: 'UNNEST'>, 'UNPIVOT': <TokenType.UNPIVOT: 'UNPIVOT'>, 'UPDATE': <TokenType.UPDATE: 'UPDATE'>, 'USE': <TokenType.USE: 'USE'>, 'USING': <TokenType.USING: 'USING'>, 'UUID': <TokenType.UUID: 'UUID'>, 'VALUES': <TokenType.VALUES: 'VALUES'>, '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.TEXT: 'TEXT'>, 'CHARACTER': <TokenType.CHAR: 'CHAR'>, 'NCHAR': <TokenType.NCHAR: 'NCHAR'>, 'VARCHAR': <TokenType.TEXT: 'TEXT'>, 'VARCHAR2': <TokenType.VARCHAR: 'VARCHAR'>, 'NVARCHAR': <TokenType.NVARCHAR: 'NVARCHAR'>, 'NVARCHAR2': <TokenType.NVARCHAR: 'NVARCHAR'>, 'BPCHAR': <TokenType.TEXT: 'TEXT'>, '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.VARBINARY: 'VARBINARY'>, '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.TIMESTAMP: 'TIMESTAMP'>, '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.DATETIME: 'DATETIME'>, 'INT4RANGE': <TokenType.INT4RANGE: 'INT4RANGE'>, 'INT4MULTIRANGE': <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, 'INT8RANGE': <TokenType.INT8RANGE: 'INT8RANGE'>, 'INT8MULTIRANGE': <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, 'NUMRANGE': <TokenType.NUMRANGE: 'NUMRANGE'>, 'NUMMULTIRANGE': <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, 'TSRANGE': <TokenType.TSRANGE: 'TSRANGE'>, 'TSMULTIRANGE': <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, 'TSTZRANGE': <TokenType.TSTZRANGE: 'TSTZRANGE'>, 'TSTZMULTIRANGE': <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, 'DATERANGE': <TokenType.DATERANGE: 'DATERANGE'>, 'DATEMULTIRANGE': <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, 'UNIQUE': <TokenType.UNIQUE: 'UNIQUE'>, 'VECTOR': <TokenType.VECTOR: 'VECTOR'>, 'STRUCT': <TokenType.STRUCT: 'STRUCT'>, 'SEQUENCE': <TokenType.SEQUENCE: 'SEQUENCE'>, 'VARIANT': <TokenType.VARIANT: 'VARIANT'>, 'ALTER': <TokenType.ALTER: 'ALTER'>, 'ANALYZE': <TokenType.ANALYZE: 'ANALYZE'>, 'CALL': <TokenType.COMMAND: 'COMMAND'>, 'COMMENT': <TokenType.COMMENT: 'COMMENT'>, 'EXPLAIN': <TokenType.COMMAND: 'COMMAND'>, 'GRANT': <TokenType.GRANT: 'GRANT'>, 'OPTIMIZE': <TokenType.COMMAND: 'COMMAND'>, 'PREPARE': <TokenType.COMMAND: 'COMMAND'>, 'VACUUM': <TokenType.COMMAND: 'COMMAND'>, 'USER-DEFINED': <TokenType.USERDEFINED: 'USERDEFINED'>, 'FOR VERSION': <TokenType.VERSION_SNAPSHOT: 'VERSION_SNAPSHOT'>, 'FOR TIMESTAMP': <TokenType.TIMESTAMP_SNAPSHOT: 'TIMESTAMP_SNAPSHOT'>, '//': <TokenType.DIV: 'DIV'>, '**': <TokenType.DSTAR: 'DSTAR'>, '^@': <TokenType.CARET_AT: 'CARET_AT'>, '@>': <TokenType.AT_GT: 'AT_GT'>, '<@': <TokenType.LT_AT: 'LT_AT'>, 'ATTACH': <TokenType.ATTACH: 'ATTACH'>, 'BITSTRING': <TokenType.BIT: 'BIT'>, 'CHARACTER VARYING': <TokenType.TEXT: 'TEXT'>, 'DETACH': <TokenType.DETACH: 'DETACH'>, 'EXCLUDE': <TokenType.EXCEPT: 'EXCEPT'>, 'LOGICAL': <TokenType.BOOLEAN: 'BOOLEAN'>, 'ONLY': <TokenType.ONLY: 'ONLY'>, 'PIVOT_WIDER': <TokenType.PIVOT: 'PIVOT'>, 'POSITIONAL': <TokenType.POSITIONAL: 'POSITIONAL'>, 'SIGNED': <TokenType.INT: 'INT'>, 'SUMMARIZE': <TokenType.SUMMARIZE: 'SUMMARIZE'>, 'TIMESTAMP_S': <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, 'TIMESTAMP_MS': <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, 'TIMESTAMP_NS': <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, 'TIMESTAMP_US': <TokenType.TIMESTAMP: 'TIMESTAMP'>, 'UBIGINT': <TokenType.UBIGINT: 'UBIGINT'>, 'UINTEGER': <TokenType.UINT: 'UINT'>, 'USMALLINT': <TokenType.USMALLINT: 'USMALLINT'>, 'UTINYINT': <TokenType.UTINYINT: 'UTINYINT'>}
SINGLE_TOKENS = {'(': <TokenType.L_PAREN: 'L_PAREN'>, ')': <TokenType.R_PAREN: 'R_PAREN'>, '[': <TokenType.L_BRACKET: 'L_BRACKET'>, ']': <TokenType.R_BRACKET: 'R_BRACKET'>, '{': <TokenType.L_BRACE: 'L_BRACE'>, '}': <TokenType.R_BRACE: 'R_BRACE'>, '&': <TokenType.AMP: 'AMP'>, '^': <TokenType.CARET: 'CARET'>, ':': <TokenType.COLON: 'COLON'>, ',': <TokenType.COMMA: 'COMMA'>, '.': <TokenType.DOT: 'DOT'>, '-': <TokenType.DASH: 'DASH'>, '=': <TokenType.EQ: 'EQ'>, '>': <TokenType.GT: 'GT'>, '<': <TokenType.LT: 'LT'>, '%': <TokenType.MOD: 'MOD'>, '!': <TokenType.NOT: 'NOT'>, '|': <TokenType.PIPE: 'PIPE'>, '+': <TokenType.PLUS: 'PLUS'>, ';': <TokenType.SEMICOLON: 'SEMICOLON'>, '/': <TokenType.SLASH: 'SLASH'>, '\\': <TokenType.BACKSLASH: 'BACKSLASH'>, '*': <TokenType.STAR: 'STAR'>, '~': <TokenType.TILDA: 'TILDA'>, '?': <TokenType.PLACEHOLDER: 'PLACEHOLDER'>, '@': <TokenType.PARAMETER: 'PARAMETER'>, '#': <TokenType.HASH: 'HASH'>, "'": <TokenType.UNKNOWN: 'UNKNOWN'>, '`': <TokenType.UNKNOWN: 'UNKNOWN'>, '"': <TokenType.UNKNOWN: 'UNKNOWN'>, '$': <TokenType.PARAMETER: 'PARAMETER'>}
COMMANDS = {<TokenType.RENAME: 'RENAME'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.FETCH: 'FETCH'>}
class DuckDB.Parser(sqlglot.parser.Parser):
361    class Parser(parser.Parser):
362        BITWISE = {
363            **parser.Parser.BITWISE,
364            TokenType.TILDA: exp.RegexpLike,
365        }
366        BITWISE.pop(TokenType.CARET)
367
368        RANGE_PARSERS = {
369            **parser.Parser.RANGE_PARSERS,
370            TokenType.DAMP: binary_range_parser(exp.ArrayOverlaps),
371            TokenType.CARET_AT: binary_range_parser(exp.StartsWith),
372        }
373
374        EXPONENT = {
375            **parser.Parser.EXPONENT,
376            TokenType.CARET: exp.Pow,
377            TokenType.DSTAR: exp.Pow,
378        }
379
380        FUNCTIONS_WITH_ALIASED_ARGS = {*parser.Parser.FUNCTIONS_WITH_ALIASED_ARGS, "STRUCT_PACK"}
381
382        SHOW_PARSERS = {
383            "TABLES": _show_parser("TABLES"),
384            "ALL TABLES": _show_parser("ALL TABLES"),
385        }
386
387        FUNCTIONS = {
388            **parser.Parser.FUNCTIONS,
389            "ARRAY_REVERSE_SORT": _build_sort_array_desc,
390            "ARRAY_SORT": exp.SortArray.from_arg_list,
391            "DATEDIFF": _build_date_diff,
392            "DATE_DIFF": _build_date_diff,
393            "DATE_TRUNC": date_trunc_to_time,
394            "DATETRUNC": date_trunc_to_time,
395            "DECODE": lambda args: exp.Decode(
396                this=seq_get(args, 0), charset=exp.Literal.string("utf-8")
397            ),
398            "EDITDIST3": exp.Levenshtein.from_arg_list,
399            "ENCODE": lambda args: exp.Encode(
400                this=seq_get(args, 0), charset=exp.Literal.string("utf-8")
401            ),
402            "EPOCH": exp.TimeToUnix.from_arg_list,
403            "EPOCH_MS": lambda args: exp.UnixToTime(
404                this=seq_get(args, 0), scale=exp.UnixToTime.MILLIS
405            ),
406            "GENERATE_SERIES": _build_generate_series(),
407            "JSON": exp.ParseJSON.from_arg_list,
408            "JSON_EXTRACT_PATH": parser.build_extract_json_with_path(exp.JSONExtract),
409            "JSON_EXTRACT_STRING": parser.build_extract_json_with_path(exp.JSONExtractScalar),
410            "LIST_HAS": exp.ArrayContains.from_arg_list,
411            "LIST_REVERSE_SORT": _build_sort_array_desc,
412            "LIST_SORT": exp.SortArray.from_arg_list,
413            "LIST_VALUE": lambda args: exp.Array(expressions=args),
414            "MAKE_TIME": exp.TimeFromParts.from_arg_list,
415            "MAKE_TIMESTAMP": _build_make_timestamp,
416            "QUANTILE_CONT": exp.PercentileCont.from_arg_list,
417            "QUANTILE_DISC": exp.PercentileDisc.from_arg_list,
418            "RANGE": _build_generate_series(end_exclusive=True),
419            "REGEXP_EXTRACT": build_regexp_extract(exp.RegexpExtract),
420            "REGEXP_EXTRACT_ALL": build_regexp_extract(exp.RegexpExtractAll),
421            "REGEXP_MATCHES": exp.RegexpLike.from_arg_list,
422            "REGEXP_REPLACE": lambda args: exp.RegexpReplace(
423                this=seq_get(args, 0),
424                expression=seq_get(args, 1),
425                replacement=seq_get(args, 2),
426                modifiers=seq_get(args, 3),
427            ),
428            "SHA256": lambda args: exp.SHA2(this=seq_get(args, 0), length=exp.Literal.number(256)),
429            "STRFTIME": build_formatted_time(exp.TimeToStr, "duckdb"),
430            "STRING_SPLIT": exp.Split.from_arg_list,
431            "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
432            "STRING_TO_ARRAY": exp.Split.from_arg_list,
433            "STRPTIME": build_formatted_time(exp.StrToTime, "duckdb"),
434            "STRUCT_PACK": exp.Struct.from_arg_list,
435            "STR_SPLIT": exp.Split.from_arg_list,
436            "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list,
437            "TIME_BUCKET": exp.DateBin.from_arg_list,
438            "TO_TIMESTAMP": exp.UnixToTime.from_arg_list,
439            "UNNEST": exp.Explode.from_arg_list,
440            "XOR": binary_from_function(exp.BitwiseXor),
441        }
442
443        FUNCTIONS.pop("DATE_SUB")
444        FUNCTIONS.pop("GLOB")
445
446        FUNCTION_PARSERS = {
447            **parser.Parser.FUNCTION_PARSERS,
448            **dict.fromkeys(
449                ("GROUP_CONCAT", "LISTAGG", "STRINGAGG"), lambda self: self._parse_string_agg()
450            ),
451        }
452        FUNCTION_PARSERS.pop("DECODE")
453
454        NO_PAREN_FUNCTION_PARSERS = {
455            **parser.Parser.NO_PAREN_FUNCTION_PARSERS,
456            "MAP": lambda self: self._parse_map(),
457            "@": lambda self: exp.Abs(this=self._parse_bitwise()),
458        }
459
460        TABLE_ALIAS_TOKENS = parser.Parser.TABLE_ALIAS_TOKENS - {
461            TokenType.SEMI,
462            TokenType.ANTI,
463        }
464
465        PLACEHOLDER_PARSERS = {
466            **parser.Parser.PLACEHOLDER_PARSERS,
467            TokenType.PARAMETER: lambda self: (
468                self.expression(exp.Placeholder, this=self._prev.text)
469                if self._match(TokenType.NUMBER) or self._match_set(self.ID_VAR_TOKENS)
470                else None
471            ),
472        }
473
474        TYPE_CONVERTERS = {
475            # https://duckdb.org/docs/sql/data_types/numeric
476            exp.DataType.Type.DECIMAL: build_default_decimal_type(precision=18, scale=3),
477            # https://duckdb.org/docs/sql/data_types/text
478            exp.DataType.Type.TEXT: lambda dtype: exp.DataType.build("TEXT"),
479        }
480
481        STATEMENT_PARSERS = {
482            **parser.Parser.STATEMENT_PARSERS,
483            TokenType.ATTACH: lambda self: self._parse_attach_detach(),
484            TokenType.DETACH: lambda self: self._parse_attach_detach(is_attach=False),
485            TokenType.SHOW: lambda self: self._parse_show(),
486        }
487
488        def _parse_expression(self) -> t.Optional[exp.Expression]:
489            # DuckDB supports prefix aliases, e.g. foo: 1
490            if self._next and self._next.token_type == TokenType.COLON:
491                alias = self._parse_id_var(tokens=self.ALIAS_TOKENS)
492                self._match(TokenType.COLON)
493                comments = self._prev_comments or []
494
495                this = self._parse_assignment()
496                if isinstance(this, exp.Expression):
497                    # Moves the comment next to the alias in `alias: expr /* comment */`
498                    comments += this.pop_comments() or []
499
500                return self.expression(exp.Alias, comments=comments, this=this, alias=alias)
501
502            return super()._parse_expression()
503
504        def _parse_table(
505            self,
506            schema: bool = False,
507            joins: bool = False,
508            alias_tokens: t.Optional[t.Collection[TokenType]] = None,
509            parse_bracket: bool = False,
510            is_db_reference: bool = False,
511            parse_partition: bool = False,
512        ) -> t.Optional[exp.Expression]:
513            # DuckDB supports prefix aliases, e.g. FROM foo: bar
514            if self._next and self._next.token_type == TokenType.COLON:
515                alias = self._parse_table_alias(
516                    alias_tokens=alias_tokens or self.TABLE_ALIAS_TOKENS
517                )
518                self._match(TokenType.COLON)
519                comments = self._prev_comments or []
520            else:
521                alias = None
522                comments = []
523
524            table = super()._parse_table(
525                schema=schema,
526                joins=joins,
527                alias_tokens=alias_tokens,
528                parse_bracket=parse_bracket,
529                is_db_reference=is_db_reference,
530                parse_partition=parse_partition,
531            )
532            if isinstance(table, exp.Expression) and isinstance(alias, exp.TableAlias):
533                # Moves the comment next to the alias in `alias: table /* comment */`
534                comments += table.pop_comments() or []
535                alias.comments = alias.pop_comments() + comments
536                table.set("alias", alias)
537
538            return table
539
540        def _parse_table_sample(self, as_modifier: bool = False) -> t.Optional[exp.TableSample]:
541            # https://duckdb.org/docs/sql/samples.html
542            sample = super()._parse_table_sample(as_modifier=as_modifier)
543            if sample and not sample.args.get("method"):
544                if sample.args.get("size"):
545                    sample.set("method", exp.var("RESERVOIR"))
546                else:
547                    sample.set("method", exp.var("SYSTEM"))
548
549            return sample
550
551        def _parse_bracket(
552            self, this: t.Optional[exp.Expression] = None
553        ) -> t.Optional[exp.Expression]:
554            bracket = super()._parse_bracket(this)
555
556            if self.dialect.version < Version("1.2.0") and isinstance(bracket, exp.Bracket):
557                # https://duckdb.org/2025/02/05/announcing-duckdb-120.html#breaking-changes
558                bracket.set("returns_list_for_maps", True)
559
560            return bracket
561
562        def _parse_map(self) -> exp.ToMap | exp.Map:
563            if self._match(TokenType.L_BRACE, advance=False):
564                return self.expression(exp.ToMap, this=self._parse_bracket())
565
566            args = self._parse_wrapped_csv(self._parse_assignment)
567            return self.expression(exp.Map, keys=seq_get(args, 0), values=seq_get(args, 1))
568
569        def _parse_struct_types(self, type_required: bool = False) -> t.Optional[exp.Expression]:
570            return self._parse_field_def()
571
572        def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
573            if len(aggregations) == 1:
574                return super()._pivot_column_names(aggregations)
575            return pivot_column_names(aggregations, dialect="duckdb")
576
577        def _parse_attach_detach(self, is_attach=True) -> exp.Attach | exp.Detach:
578            def _parse_attach_option() -> exp.AttachOption:
579                return self.expression(
580                    exp.AttachOption,
581                    this=self._parse_var(any_token=True),
582                    expression=self._parse_field(any_token=True),
583                )
584
585            self._match(TokenType.DATABASE)
586            exists = self._parse_exists(not_=is_attach)
587            this = self._parse_alias(self._parse_primary_or_var(), explicit=True)
588
589            if self._match(TokenType.L_PAREN, advance=False):
590                expressions = self._parse_wrapped_csv(_parse_attach_option)
591            else:
592                expressions = None
593
594            return (
595                self.expression(exp.Attach, this=this, exists=exists, expressions=expressions)
596                if is_attach
597                else self.expression(exp.Detach, this=this, exists=exists)
598            )
599
600        def _parse_show_duckdb(self, this: str) -> exp.Show:
601            return self.expression(exp.Show, this=this)

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
BITWISE = {<TokenType.AMP: 'AMP'>: <class 'sqlglot.expressions.BitwiseAnd'>, <TokenType.PIPE: 'PIPE'>: <class 'sqlglot.expressions.BitwiseOr'>, <TokenType.TILDA: 'TILDA'>: <class 'sqlglot.expressions.RegexpLike'>}
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.OVERLAPS: 'OVERLAPS'>: <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.DAMP: 'DAMP'>: <function binary_range_parser.<locals>._parse_binary_range>, <TokenType.CARET_AT: 'CARET_AT'>: <function binary_range_parser.<locals>._parse_binary_range>}
EXPONENT = {<TokenType.CARET: 'CARET'>: <class 'sqlglot.expressions.Pow'>, <TokenType.DSTAR: 'DSTAR'>: <class 'sqlglot.expressions.Pow'>}
FUNCTIONS_WITH_ALIASED_ARGS = {'STRUCT_PACK', 'STRUCT'}
SHOW_PARSERS = {'TABLES': <function _show_parser.<locals>._parse>, 'ALL TABLES': <function _show_parser.<locals>._parse>}
FUNCTIONS = {'ABS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Abs'>>, 'ADD_MONTHS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AddMonths'>>, 'AND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.And'>>, 'ANONYMOUS_AGG_FUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AnonymousAggFunc'>>, 'ANY_VALUE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AnyValue'>>, 'APPLY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Apply'>>, 'APPROX_DISTINCT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxDistinct'>>, 'APPROX_COUNT_DISTINCT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxDistinct'>>, 'APPROX_QUANTILE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxQuantile'>>, 'APPROX_TOP_K': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxTopK'>>, 'ARG_MAX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMax'>>, 'ARGMAX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMax'>>, 'MAX_BY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMax'>>, 'ARG_MIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMin'>>, 'ARGMIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMin'>>, 'MIN_BY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArgMin'>>, 'ARRAY': <function Parser.<lambda>>, 'ARRAY_AGG': <function Parser.<lambda>>, 'ARRAY_ALL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayAll'>>, 'ARRAY_ANY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayAny'>>, 'ARRAY_CONCAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayConcat'>>, 'ARRAY_CAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayConcat'>>, 'ARRAY_CONSTRUCT_COMPACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayConstructCompact'>>, 'ARRAY_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayContains'>>, 'ARRAY_HAS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayContains'>>, 'ARRAY_CONTAINS_ALL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayContainsAll'>>, 'ARRAY_HAS_ALL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayContainsAll'>>, 'FILTER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayFilter'>>, 'ARRAY_FILTER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayFilter'>>, 'ARRAY_OVERLAPS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayOverlaps'>>, 'ARRAY_SIZE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySize'>>, 'ARRAY_LENGTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySize'>>, 'ARRAY_SORT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SortArray'>>, 'ARRAY_SUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySum'>>, 'ARRAY_TO_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayToString'>>, 'ARRAY_JOIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayToString'>>, 'ARRAY_UNION_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayUnionAgg'>>, 'ARRAY_UNIQUE_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayUniqueAgg'>>, 'AVG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Avg'>>, 'CASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Case'>>, 'CAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Cast'>>, 'CAST_TO_STR_TYPE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CastToStrType'>>, 'CBRT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Cbrt'>>, 'CEIL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ceil'>>, 'CEILING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ceil'>>, 'CHR': <function Parser.<lambda>>, 'CHAR': <function Parser.<lambda>>, 'COALESCE': <function build_coalesce>, 'IFNULL': <function build_coalesce>, 'NVL': <function build_coalesce>, 'COLLATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Collate'>>, 'COLUMNS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Columns'>>, 'COMBINED_AGG_FUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CombinedAggFunc'>>, 'COMBINED_PARAMETERIZED_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CombinedParameterizedAgg'>>, 'CONCAT': <function Parser.<lambda>>, 'CONCAT_WS': <function Parser.<lambda>>, 'CONNECT_BY_ROOT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ConnectByRoot'>>, 'CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Contains'>>, 'CONVERT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Convert'>>, 'CONVERT_TIMEZONE': <function build_convert_timezone>, 'CORR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Corr'>>, 'COUNT': <function Parser.<lambda>>, 'COUNT_IF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CountIf'>>, 'COUNTIF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CountIf'>>, 'COVAR_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CovarPop'>>, 'COVAR_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CovarSamp'>>, 'CURRENT_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentDate'>>, 'CURRENT_DATETIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentDatetime'>>, 'CURRENT_SCHEMA': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentSchema'>>, 'CURRENT_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentTime'>>, 'CURRENT_TIMESTAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentTimestamp'>>, 'CURRENT_USER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentUser'>>, 'DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Date'>>, 'DATE_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateAdd'>>, 'DATE_BIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateBin'>>, 'DATEDIFF': <function _build_date_diff>, 'DATE_DIFF': <function _build_date_diff>, 'DATE_FROM_PARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateFromParts'>>, 'DATEFROMPARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateFromParts'>>, 'DATE_STR_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateStrToDate'>>, 'DATE_TO_DATE_STR': <function Parser.<lambda>>, 'DATE_TO_DI': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateToDi'>>, 'DATE_TRUNC': <function date_trunc_to_time>, 'DATETIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Datetime'>>, 'DATETIME_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DatetimeAdd'>>, 'DATETIME_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DatetimeDiff'>>, 'DATETIME_SUB': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DatetimeSub'>>, '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': <function DuckDB.Parser.<lambda>>, 'DI_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DiToDate'>>, 'ENCODE': <function DuckDB.Parser.<lambda>>, 'EXISTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Exists'>>, 'EXP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Exp'>>, 'EXPLODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Explode'>>, 'EXPLODE_OUTER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ExplodeOuter'>>, 'EXPLODING_GENERATE_SERIES': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ExplodingGenerateSeries'>>, 'EXTRACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Extract'>>, 'FEATURES_AT_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FeaturesAtTime'>>, 'FIRST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.First'>>, 'FIRST_VALUE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FirstValue'>>, 'FLATTEN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Flatten'>>, 'FLOOR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Floor'>>, 'FROM_BASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FromBase'>>, 'FROM_BASE64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FromBase64'>>, 'FROM_ISO8601_TIMESTAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FromISO8601Timestamp'>>, 'GAP_FILL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.GapFill'>>, 'GENERATE_DATE_ARRAY': <function Parser.<lambda>>, 'GENERATE_SERIES': <function _build_generate_series.<locals>._builder>, 'GENERATE_TIMESTAMP_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.GenerateTimestampArray'>>, 'GREATEST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Greatest'>>, 'GROUP_CONCAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.GroupConcat'>>, 'HEX': <function build_hex>, 'HLL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Hll'>>, 'IF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.If'>>, 'IIF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.If'>>, 'INITCAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Initcap'>>, 'INLINE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Inline'>>, 'INT64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Int64'>>, 'IS_ASCII': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsAscii'>>, 'IS_INF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsInf'>>, 'ISINF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsInf'>>, 'IS_NAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsNan'>>, 'ISNAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsNan'>>, 'J_S_O_N_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArray'>>, 'J_S_O_N_ARRAY_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayAgg'>>, 'JSON_ARRAY_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayContains'>>, 'JSONB_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBContains'>>, 'JSONB_EXISTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBExists'>>, 'JSONB_EXTRACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBExtract'>>, 'JSONB_EXTRACT_SCALAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBExtractScalar'>>, 'J_S_O_N_B_OBJECT_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONBObjectAgg'>>, 'J_S_O_N_CAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONCast'>>, 'J_S_O_N_EXISTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONExists'>>, 'JSON_EXTRACT': <function build_extract_json_with_path.<locals>._builder>, 'JSON_EXTRACT_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONExtractArray'>>, 'JSON_EXTRACT_SCALAR': <function build_extract_json_with_path.<locals>._builder>, 'JSON_FORMAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONFormat'>>, 'J_S_O_N_OBJECT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONObject'>>, 'J_S_O_N_OBJECT_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONObjectAgg'>>, 'J_S_O_N_TABLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONTable'>>, 'J_S_O_N_VALUE_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONValueArray'>>, 'LAG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Lag'>>, 'LAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Last'>>, 'LAST_DAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LastDay'>>, 'LAST_DAY_OF_MONTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LastDay'>>, 'LAST_VALUE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LastValue'>>, 'LEAD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Lead'>>, 'LEAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Least'>>, 'LEFT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Left'>>, 'LENGTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Length'>>, '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.MD5'>>, 'MD5_DIGEST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MD5Digest'>>, 'MAKE_INTERVAL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MakeInterval'>>, 'MAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Map'>>, 'MAP_FROM_ENTRIES': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MapFromEntries'>>, 'MATCH_AGAINST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MatchAgainst'>>, 'MAX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Max'>>, 'MEDIAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Median'>>, 'MIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Min'>>, 'MONTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Month'>>, 'MONTHS_BETWEEN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.MonthsBetween'>>, 'NEXT_VALUE_FOR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.NextValueFor'>>, 'NORMALIZE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Normalize'>>, 'NTH_VALUE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.NthValue'>>, 'NULLIF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Nullif'>>, 'NUMBER_TO_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.NumberToStr'>>, 'NVL2': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Nvl2'>>, 'OBJECT_INSERT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ObjectInsert'>>, 'OPEN_J_S_O_N': <bound method Func.from_arg_list of <class 'sqlglot.expressions.OpenJSON'>>, 'OR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Or'>>, 'OVERLAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Overlay'>>, 'PAD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Pad'>>, 'PARAMETERIZED_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParameterizedAgg'>>, 'PARSE_JSON': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParseJSON'>>, 'JSON_PARSE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParseJSON'>>, 'PERCENTILE_CONT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.PercentileCont'>>, 'PERCENTILE_DISC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.PercentileDisc'>>, 'POSEXPLODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Posexplode'>>, 'POSEXPLODE_OUTER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.PosexplodeOuter'>>, 'POWER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Pow'>>, 'POW': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Pow'>>, 'PREDICT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Predict'>>, 'QUANTILE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Quantile'>>, 'QUARTER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Quarter'>>, 'RAND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Rand'>>, 'RANDOM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Rand'>>, 'RANDN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Randn'>>, 'RANGE_N': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RangeN'>>, 'READ_CSV': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ReadCSV'>>, 'REDUCE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Reduce'>>, 'REGEXP_EXTRACT': <function build_regexp_extract.<locals>._builder>, 'REGEXP_EXTRACT_ALL': <function build_regexp_extract.<locals>._builder>, 'REGEXP_I_LIKE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpILike'>>, 'REGEXP_LIKE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpLike'>>, 'REGEXP_REPLACE': <function DuckDB.Parser.<lambda>>, 'REGEXP_SPLIT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpSplit'>>, 'REPEAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Repeat'>>, 'RIGHT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Right'>>, 'ROUND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Round'>>, 'ROW_NUMBER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RowNumber'>>, 'SHA': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA'>>, 'SHA1': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA'>>, 'SHA2': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA2'>>, 'SAFE_DIVIDE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SafeDivide'>>, 'SIGN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sign'>>, 'SIGNUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sign'>>, 'SORT_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SortArray'>>, 'SPLIT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Split'>>, 'SPLIT_PART': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SplitPart'>>, 'SQRT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sqrt'>>, 'STANDARD_HASH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StandardHash'>>, 'STAR_MAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StarMap'>>, 'STARTS_WITH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StartsWith'>>, 'STARTSWITH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StartsWith'>>, 'STDDEV': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stddev'>>, 'STDEV': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stddev'>>, 'STDDEV_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StddevPop'>>, 'STDDEV_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StddevSamp'>>, 'STR_POSITION': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrPosition'>>, 'STR_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrToDate'>>, 'STR_TO_MAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrToMap'>>, 'STR_TO_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrToTime'>>, 'STR_TO_UNIX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrToUnix'>>, 'STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.String'>>, 'STRING_TO_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Split'>>, 'SPLIT_BY_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StringToArray'>>, 'STRUCT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Struct'>>, 'STRUCT_EXTRACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StructExtract'>>, 'STUFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stuff'>>, 'INSERT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stuff'>>, 'SUBSTRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Substring'>>, 'SUBSTR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Substring'>>, 'SUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sum'>>, 'TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Time'>>, 'TIME_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeAdd'>>, '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': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeSub'>>, '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': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Timestamp'>>, 'TIMESTAMP_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampAdd'>>, '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': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampSub'>>, 'TIMESTAMP_TRUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampTrunc'>>, 'TO_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToArray'>>, 'TO_BASE64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToBase64'>>, 'TO_CHAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToChar'>>, 'TO_DAYS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToDays'>>, 'TO_DOUBLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToDouble'>>, 'TO_MAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToMap'>>, 'TO_NUMBER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToNumber'>>, 'TRANSFORM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Transform'>>, 'TRIM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Trim'>>, 'TRY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Try'>>, 'TRY_CAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TryCast'>>, 'TS_OR_DI_TO_DI': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDiToDi'>>, 'TS_OR_DS_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsAdd'>>, 'TS_OR_DS_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsDiff'>>, 'TS_OR_DS_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsToDate'>>, 'TS_OR_DS_TO_DATE_STR': <function Parser.<lambda>>, 'TS_OR_DS_TO_DATETIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsToDatetime'>>, 'TS_OR_DS_TO_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsToTime'>>, 'TS_OR_DS_TO_TIMESTAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsToTimestamp'>>, 'UNHEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Unhex'>>, 'UNICODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Unicode'>>, 'UNIX_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixDate'>>, 'UNIX_SECONDS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixSeconds'>>, 'UNIX_TO_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixToStr'>>, 'UNIX_TO_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixToTime'>>, 'UNIX_TO_TIME_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixToTimeStr'>>, 'UNNEST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Explode'>>, 'UPPER': <function build_upper>, 'UCASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Upper'>>, 'UUID': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Uuid'>>, 'GEN_RANDOM_UUID': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Uuid'>>, 'GENERATE_UUID': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Uuid'>>, 'UUID_STRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Uuid'>>, 'VAR_MAP': <function build_var_map>, 'VARIANCE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VARIANCE_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VAR_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VARIANCE_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.VariancePop'>>, 'VAR_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.VariancePop'>>, 'WEEK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Week'>>, 'WEEK_OF_YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.WeekOfYear'>>, 'WEEKOFYEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.WeekOfYear'>>, 'XMLELEMENT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.XMLElement'>>, 'X_M_L_TABLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.XMLTable'>>, 'XOR': <function binary_from_function.<locals>.<lambda>>, 'YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Year'>>, 'ARRAYAGG': <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_hex>, 'ARRAY_REVERSE_SORT': <function _build_sort_array_desc>, 'DATETRUNC': <function date_trunc_to_time>, 'EDITDIST3': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Levenshtein'>>, 'EPOCH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeToUnix'>>, 'EPOCH_MS': <function DuckDB.Parser.<lambda>>, 'JSON': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParseJSON'>>, 'JSON_EXTRACT_PATH': <function build_extract_json_with_path.<locals>._builder>, 'JSON_EXTRACT_STRING': <function build_extract_json_with_path.<locals>._builder>, 'LIST_HAS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayContains'>>, 'LIST_REVERSE_SORT': <function _build_sort_array_desc>, 'LIST_SORT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SortArray'>>, 'LIST_VALUE': <function DuckDB.Parser.<lambda>>, 'MAKE_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeFromParts'>>, 'MAKE_TIMESTAMP': <function _build_make_timestamp>, 'QUANTILE_CONT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.PercentileCont'>>, 'QUANTILE_DISC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.PercentileDisc'>>, 'RANGE': <function _build_generate_series.<locals>._builder>, 'REGEXP_MATCHES': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpLike'>>, 'SHA256': <function DuckDB.Parser.<lambda>>, 'STRFTIME': <function build_formatted_time.<locals>._builder>, 'STRING_SPLIT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Split'>>, 'STRING_SPLIT_REGEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpSplit'>>, 'STRPTIME': <function build_formatted_time.<locals>._builder>, 'STRUCT_PACK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Struct'>>, 'STR_SPLIT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Split'>>, 'STR_SPLIT_REGEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpSplit'>>, 'TIME_BUCKET': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateBin'>>, 'TO_TIMESTAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixToTime'>>}
FUNCTION_PARSERS = {'CAST': <function Parser.<lambda>>, 'CEIL': <function Parser.<lambda>>, 'CONVERT': <function Parser.<lambda>>, 'EXTRACT': <function Parser.<lambda>>, 'FLOOR': <function Parser.<lambda>>, 'GAP_FILL': <function Parser.<lambda>>, 'JSON_OBJECT': <function Parser.<lambda>>, 'JSON_OBJECTAGG': <function Parser.<lambda>>, 'JSON_TABLE': <function Parser.<lambda>>, 'MATCH': <function Parser.<lambda>>, 'NORMALIZE': <function Parser.<lambda>>, 'OPENJSON': <function Parser.<lambda>>, 'OVERLAY': <function Parser.<lambda>>, 'POSITION': <function Parser.<lambda>>, 'PREDICT': <function Parser.<lambda>>, 'SAFE_CAST': <function Parser.<lambda>>, 'STRING_AGG': <function Parser.<lambda>>, 'SUBSTRING': <function Parser.<lambda>>, 'TRIM': <function Parser.<lambda>>, 'TRY_CAST': <function Parser.<lambda>>, 'TRY_CONVERT': <function Parser.<lambda>>, 'XMLELEMENT': <function Parser.<lambda>>, 'XMLTABLE': <function Parser.<lambda>>, 'GROUP_CONCAT': <function DuckDB.Parser.<lambda>>, 'LISTAGG': <function DuckDB.Parser.<lambda>>, 'STRINGAGG': <function DuckDB.Parser.<lambda>>}
NO_PAREN_FUNCTION_PARSERS = {'ANY': <function Parser.<lambda>>, 'CASE': <function Parser.<lambda>>, 'CONNECT_BY_ROOT': <function Parser.<lambda>>, 'IF': <function Parser.<lambda>>, 'MAP': <function DuckDB.Parser.<lambda>>, '@': <function DuckDB.Parser.<lambda>>}
TABLE_ALIAS_TOKENS = {<TokenType.REFERENCES: 'REFERENCES'>, <TokenType.LIST: 'LIST'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.VIEW: 'VIEW'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.DELETE: 'DELETE'>, <TokenType.FINAL: 'FINAL'>, <TokenType.MODEL: 'MODEL'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.NULL: 'NULL'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.KEEP: 'KEEP'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.ROWS: 'ROWS'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.CASE: 'CASE'>, <TokenType.TRUE: 'TRUE'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.XML: 'XML'>, <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.LOAD: 'LOAD'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.DESC: 'DESC'>, <TokenType.SINK: 'SINK'>, <TokenType.UUID: 'UUID'>, <TokenType.CHAR: 'CHAR'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.CACHE: 'CACHE'>, <TokenType.RING: 'RING'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.UINT256: 'UINT256'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.SOME: 'SOME'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.TIME: 'TIME'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.ENUM: 'ENUM'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.DATE: 'DATE'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.USE: 'USE'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.BINARY: 'BINARY'>, <TokenType.INT: 'INT'>, <TokenType.DIV: 'DIV'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.SUPER: 'SUPER'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.MONEY: 'MONEY'>, <TokenType.IPV6: 'IPV6'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.DETACH: 'DETACH'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.ALL: 'ALL'>, <TokenType.BLOB: 'BLOB'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.NAME: 'NAME'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.ASC: 'ASC'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.FIRST: 'FIRST'>, <TokenType.BIT: 'BIT'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.INT256: 'INT256'>, <TokenType.INT128: 'INT128'>, <TokenType.PUT: 'PUT'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.KILL: 'KILL'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.NEXT: 'NEXT'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.UINT: 'UINT'>, <TokenType.FALSE: 'FALSE'>, <TokenType.RANGE: 'RANGE'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.UINT128: 'UINT128'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.YEAR: 'YEAR'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.IPV4: 'IPV4'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.JSON: 'JSON'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.NESTED: 'NESTED'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.INET: 'INET'>, <TokenType.MERGE: 'MERGE'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.SET: 'SET'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.IS: 'IS'>, <TokenType.DATE32: 'DATE32'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.JSONB: 'JSONB'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.COPY: 'COPY'>, <TokenType.STAGE: 'STAGE'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.TAG: 'TAG'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.POINT: 'POINT'>, <TokenType.END: 'END'>, <TokenType.TEXT: 'TEXT'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.ROW: 'ROW'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.SHOW: 'SHOW'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.CUBE: 'CUBE'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.INDEX: 'INDEX'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.VAR: 'VAR'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.FILTER: 'FILTER'>, <TokenType.TOP: 'TOP'>, <TokenType.TABLE: 'TABLE'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.MAP: 'MAP'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.ANY: 'ANY'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.UPDATE: 'UPDATE'>}
PLACEHOLDER_PARSERS = {<TokenType.PLACEHOLDER: 'PLACEHOLDER'>: <function Parser.<lambda>>, <TokenType.PARAMETER: 'PARAMETER'>: <function DuckDB.Parser.<lambda>>, <TokenType.COLON: 'COLON'>: <function Parser.<lambda>>}
TYPE_CONVERTERS = {<Type.DECIMAL: 'DECIMAL'>: <function build_default_decimal_type.<locals>._builder>, <Type.TEXT: 'TEXT'>: <function DuckDB.Parser.<lambda>>}
STATEMENT_PARSERS = {<TokenType.ALTER: 'ALTER'>: <function Parser.<lambda>>, <TokenType.ANALYZE: 'ANALYZE'>: <function Parser.<lambda>>, <TokenType.BEGIN: 'BEGIN'>: <function Parser.<lambda>>, <TokenType.CACHE: 'CACHE'>: <function Parser.<lambda>>, <TokenType.COMMENT: 'COMMENT'>: <function Parser.<lambda>>, <TokenType.COMMIT: 'COMMIT'>: <function Parser.<lambda>>, <TokenType.COPY: 'COPY'>: <function Parser.<lambda>>, <TokenType.CREATE: 'CREATE'>: <function Parser.<lambda>>, <TokenType.DELETE: 'DELETE'>: <function Parser.<lambda>>, <TokenType.DESC: 'DESC'>: <function Parser.<lambda>>, <TokenType.DESCRIBE: 'DESCRIBE'>: <function Parser.<lambda>>, <TokenType.DROP: 'DROP'>: <function Parser.<lambda>>, <TokenType.GRANT: 'GRANT'>: <function Parser.<lambda>>, <TokenType.INSERT: 'INSERT'>: <function Parser.<lambda>>, <TokenType.KILL: 'KILL'>: <function Parser.<lambda>>, <TokenType.LOAD: 'LOAD'>: <function Parser.<lambda>>, <TokenType.MERGE: 'MERGE'>: <function Parser.<lambda>>, <TokenType.PIVOT: 'PIVOT'>: <function Parser.<lambda>>, <TokenType.PRAGMA: 'PRAGMA'>: <function Parser.<lambda>>, <TokenType.REFRESH: 'REFRESH'>: <function Parser.<lambda>>, <TokenType.ROLLBACK: 'ROLLBACK'>: <function Parser.<lambda>>, <TokenType.SET: 'SET'>: <function Parser.<lambda>>, <TokenType.TRUNCATE: 'TRUNCATE'>: <function Parser.<lambda>>, <TokenType.UNCACHE: 'UNCACHE'>: <function Parser.<lambda>>, <TokenType.UNPIVOT: 'UNPIVOT'>: <function Parser.<lambda>>, <TokenType.UPDATE: 'UPDATE'>: <function Parser.<lambda>>, <TokenType.USE: 'USE'>: <function Parser.<lambda>>, <TokenType.SEMICOLON: 'SEMICOLON'>: <function Parser.<lambda>>, <TokenType.ATTACH: 'ATTACH'>: <function DuckDB.Parser.<lambda>>, <TokenType.DETACH: 'DETACH'>: <function DuckDB.Parser.<lambda>>, <TokenType.SHOW: 'SHOW'>: <function DuckDB.Parser.<lambda>>}
ID_VAR_TOKENS = {<TokenType.REFERENCES: 'REFERENCES'>, <TokenType.LIST: 'LIST'>, <TokenType.SIMPLEAGGREGATEFUNCTION: 'SIMPLEAGGREGATEFUNCTION'>, <TokenType.VIEW: 'VIEW'>, <TokenType.STRUCT: 'STRUCT'>, <TokenType.FILE_FORMAT: 'FILE_FORMAT'>, <TokenType.LOWCARDINALITY: 'LOWCARDINALITY'>, <TokenType.PRAGMA: 'PRAGMA'>, <TokenType.GEOGRAPHY: 'GEOGRAPHY'>, <TokenType.TINYINT: 'TINYINT'>, <TokenType.SMALLSERIAL: 'SMALLSERIAL'>, <TokenType.ARRAY: 'ARRAY'>, <TokenType.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>, <TokenType.MULTIPOLYGON: 'MULTIPOLYGON'>, <TokenType.SMALLDATETIME: 'SMALLDATETIME'>, <TokenType.DELETE: 'DELETE'>, <TokenType.FINAL: 'FINAL'>, <TokenType.MODEL: 'MODEL'>, <TokenType.UNKNOWN: 'UNKNOWN'>, <TokenType.COMMAND: 'COMMAND'>, <TokenType.VARCHAR: 'VARCHAR'>, <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, <TokenType.SEQUENCE: 'SEQUENCE'>, <TokenType.VARBINARY: 'VARBINARY'>, <TokenType.PIVOT: 'PIVOT'>, <TokenType.NULL: 'NULL'>, <TokenType.TSMULTIRANGE: 'TSMULTIRANGE'>, <TokenType.INT8MULTIRANGE: 'INT8MULTIRANGE'>, <TokenType.KEEP: 'KEEP'>, <TokenType.DICTIONARY: 'DICTIONARY'>, <TokenType.COMMENT: 'COMMENT'>, <TokenType.ROWS: 'ROWS'>, <TokenType.CONSTRAINT: 'CONSTRAINT'>, <TokenType.TIMESTAMP_S: 'TIMESTAMP_S'>, <TokenType.CASE: 'CASE'>, <TokenType.TRUE: 'TRUE'>, <TokenType.MEDIUMTEXT: 'MEDIUMTEXT'>, <TokenType.EXECUTE: 'EXECUTE'>, <TokenType.XML: 'XML'>, <TokenType.STRAIGHT_JOIN: 'STRAIGHT_JOIN'>, <TokenType.IDENTIFIER: 'IDENTIFIER'>, <TokenType.LOAD: 'LOAD'>, <TokenType.DATERANGE: 'DATERANGE'>, <TokenType.DESC: 'DESC'>, <TokenType.ANTI: 'ANTI'>, <TokenType.SINK: 'SINK'>, <TokenType.UUID: 'UUID'>, <TokenType.CHAR: 'CHAR'>, <TokenType.UNNEST: 'UNNEST'>, <TokenType.COMMIT: 'COMMIT'>, <TokenType.IPADDRESS: 'IPADDRESS'>, <TokenType.ENUM8: 'ENUM8'>, <TokenType.COLUMN: 'COLUMN'>, <TokenType.EXPORT: 'EXPORT'>, <TokenType.DEFAULT: 'DEFAULT'>, <TokenType.CACHE: 'CACHE'>, <TokenType.RING: 'RING'>, <TokenType.FOREIGN_KEY: 'FOREIGN_KEY'>, <TokenType.TDIGEST: 'TDIGEST'>, <TokenType.INTERVAL: 'INTERVAL'>, <TokenType.UINT256: 'UINT256'>, <TokenType.REFRESH: 'REFRESH'>, <TokenType.SOME: 'SOME'>, <TokenType.TSRANGE: 'TSRANGE'>, <TokenType.ASOF: 'ASOF'>, <TokenType.MEDIUMINT: 'MEDIUMINT'>, <TokenType.ROWVERSION: 'ROWVERSION'>, <TokenType.NCHAR: 'NCHAR'>, <TokenType.MEDIUMBLOB: 'MEDIUMBLOB'>, <TokenType.TIME: 'TIME'>, <TokenType.BPCHAR: 'BPCHAR'>, <TokenType.PERCENT: 'PERCENT'>, <TokenType.ENUM: 'ENUM'>, <TokenType.GEOMETRY: 'GEOMETRY'>, <TokenType.UNIQUE: 'UNIQUE'>, <TokenType.TEMPORARY: 'TEMPORARY'>, <TokenType.DATE: 'DATE'>, <TokenType.POLYGON: 'POLYGON'>, <TokenType.DATEMULTIRANGE: 'DATEMULTIRANGE'>, <TokenType.SERIAL: 'SERIAL'>, <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, <TokenType.DECIMAL: 'DECIMAL'>, <TokenType.VOLATILE: 'VOLATILE'>, <TokenType.OVERWRITE: 'OVERWRITE'>, <TokenType.TINYBLOB: 'TINYBLOB'>, <TokenType.USE: 'USE'>, <TokenType.INT8RANGE: 'INT8RANGE'>, <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, <TokenType.ROLLUP: 'ROLLUP'>, <TokenType.BINARY: 'BINARY'>, <TokenType.INT: 'INT'>, <TokenType.DIV: 'DIV'>, <TokenType.FLOAT: 'FLOAT'>, <TokenType.SUPER: 'SUPER'>, <TokenType.DECIMAL256: 'DECIMAL256'>, <TokenType.MONEY: 'MONEY'>, <TokenType.IPV6: 'IPV6'>, <TokenType.LEFT: 'LEFT'>, <TokenType.OBJECT_IDENTIFIER: 'OBJECT_IDENTIFIER'>, <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, <TokenType.DETACH: 'DETACH'>, <TokenType.TSTZRANGE: 'TSTZRANGE'>, <TokenType.NATURAL: 'NATURAL'>, <TokenType.SEMI: 'SEMI'>, <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, <TokenType.ALL: 'ALL'>, <TokenType.BLOB: 'BLOB'>, <TokenType.PARTITION: 'PARTITION'>, <TokenType.NUMRANGE: 'NUMRANGE'>, <TokenType.BOOLEAN: 'BOOLEAN'>, <TokenType.USERDEFINED: 'USERDEFINED'>, <TokenType.CURRENT_SCHEMA: 'CURRENT_SCHEMA'>, <TokenType.NAME: 'NAME'>, <TokenType.CURRENT_DATETIME: 'CURRENT_DATETIME'>, <TokenType.NVARCHAR: 'NVARCHAR'>, <TokenType.SOURCE: 'SOURCE'>, <TokenType.ASC: 'ASC'>, <TokenType.STREAMLIT: 'STREAMLIT'>, <TokenType.FIRST: 'FIRST'>, <TokenType.BIT: 'BIT'>, <TokenType.APPLY: 'APPLY'>, <TokenType.TIMESTAMP_NS: 'TIMESTAMP_NS'>, <TokenType.INT256: 'INT256'>, <TokenType.INT128: 'INT128'>, <TokenType.PUT: 'PUT'>, <TokenType.COLLATE: 'COLLATE'>, <TokenType.TIMESTAMP_MS: 'TIMESTAMP_MS'>, <TokenType.EXISTS: 'EXISTS'>, <TokenType.WAREHOUSE: 'WAREHOUSE'>, <TokenType.IMAGE: 'IMAGE'>, <TokenType.KILL: 'KILL'>, <TokenType.DATABASE: 'DATABASE'>, <TokenType.AGGREGATEFUNCTION: 'AGGREGATEFUNCTION'>, <TokenType.ENUM16: 'ENUM16'>, <TokenType.SETTINGS: 'SETTINGS'>, <TokenType.DATETIME2: 'DATETIME2'>, <TokenType.NAMESPACE: 'NAMESPACE'>, <TokenType.NEXT: 'NEXT'>, <TokenType.ESCAPE: 'ESCAPE'>, <TokenType.RENAME: 'RENAME'>, <TokenType.USMALLINT: 'USMALLINT'>, <TokenType.UINT: 'UINT'>, <TokenType.FALSE: 'FALSE'>, <TokenType.RANGE: 'RANGE'>, <TokenType.TSTZMULTIRANGE: 'TSTZMULTIRANGE'>, <TokenType.REPLACE: 'REPLACE'>, <TokenType.SMALLMONEY: 'SMALLMONEY'>, <TokenType.OVERLAPS: 'OVERLAPS'>, <TokenType.SMALLINT: 'SMALLINT'>, <TokenType.VECTOR: 'VECTOR'>, <TokenType.UINT128: 'UINT128'>, <TokenType.AUTO_INCREMENT: 'AUTO_INCREMENT'>, <TokenType.UNPIVOT: 'UNPIVOT'>, <TokenType.YEAR: 'YEAR'>, <TokenType.UDECIMAL: 'UDECIMAL'>, <TokenType.IPV4: 'IPV4'>, <TokenType.RIGHT: 'RIGHT'>, <TokenType.LONGTEXT: 'LONGTEXT'>, <TokenType.TIMETZ: 'TIMETZ'>, <TokenType.JSON: 'JSON'>, <TokenType.FORMAT: 'FORMAT'>, <TokenType.DECIMAL64: 'DECIMAL64'>, <TokenType.MULTILINESTRING: 'MULTILINESTRING'>, <TokenType.TRUNCATE: 'TRUNCATE'>, <TokenType.NULLABLE: 'NULLABLE'>, <TokenType.NESTED: 'NESTED'>, <TokenType.FIXEDSTRING: 'FIXEDSTRING'>, <TokenType.DATETIME64: 'DATETIME64'>, <TokenType.UBIGINT: 'UBIGINT'>, <TokenType.OPERATOR: 'OPERATOR'>, <TokenType.OFFSET: 'OFFSET'>, <TokenType.INET: 'INET'>, <TokenType.MERGE: 'MERGE'>, <TokenType.UMEDIUMINT: 'UMEDIUMINT'>, <TokenType.INT4RANGE: 'INT4RANGE'>, <TokenType.TINYTEXT: 'TINYTEXT'>, <TokenType.DESCRIBE: 'DESCRIBE'>, <TokenType.SET: 'SET'>, <TokenType.PROCEDURE: 'PROCEDURE'>, <TokenType.FULL: 'FULL'>, <TokenType.PSEUDO_TYPE: 'PSEUDO_TYPE'>, <TokenType.HLLSKETCH: 'HLLSKETCH'>, <TokenType.CURRENT_USER: 'CURRENT_USER'>, <TokenType.IS: 'IS'>, <TokenType.DATE32: 'DATE32'>, <TokenType.NUMMULTIRANGE: 'NUMMULTIRANGE'>, <TokenType.JSONB: 'JSONB'>, <TokenType.WINDOW: 'WINDOW'>, <TokenType.BIGSERIAL: 'BIGSERIAL'>, <TokenType.LONGBLOB: 'LONGBLOB'>, <TokenType.COPY: 'COPY'>, <TokenType.STAGE: 'STAGE'>, <TokenType.VARIANT: 'VARIANT'>, <TokenType.DECIMAL128: 'DECIMAL128'>, <TokenType.INT4MULTIRANGE: 'INT4MULTIRANGE'>, <TokenType.TAG: 'TAG'>, <TokenType.LIMIT: 'LIMIT'>, <TokenType.ORDINALITY: 'ORDINALITY'>, <TokenType.POINT: 'POINT'>, <TokenType.END: 'END'>, <TokenType.TEXT: 'TEXT'>, <TokenType.OBJECT: 'OBJECT'>, <TokenType.ROW: 'ROW'>, <TokenType.FUNCTION: 'FUNCTION'>, <TokenType.LINESTRING: 'LINESTRING'>, <TokenType.SHOW: 'SHOW'>, <TokenType.TIMESTAMP: 'TIMESTAMP'>, <TokenType.CUBE: 'CUBE'>, <TokenType.HSTORE: 'HSTORE'>, <TokenType.INDEX: 'INDEX'>, <TokenType.SCHEMA: 'SCHEMA'>, <TokenType.BEGIN: 'BEGIN'>, <TokenType.ISNULL: 'ISNULL'>, <TokenType.BIGINT: 'BIGINT'>, <TokenType.VAR: 'VAR'>, <TokenType.ATTACH: 'ATTACH'>, <TokenType.RECURSIVE: 'RECURSIVE'>, <TokenType.DYNAMIC: 'DYNAMIC'>, <TokenType.FILTER: 'FILTER'>, <TokenType.TOP: 'TOP'>, <TokenType.TABLE: 'TABLE'>, <TokenType.UTINYINT: 'UTINYINT'>, <TokenType.UDOUBLE: 'UDOUBLE'>, <TokenType.IPPREFIX: 'IPPREFIX'>, <TokenType.MAP: 'MAP'>, <TokenType.DOUBLE: 'DOUBLE'>, <TokenType.ANY: 'ANY'>, <TokenType.DECIMAL32: 'DECIMAL32'>, <TokenType.STORAGE_INTEGRATION: 'STORAGE_INTEGRATION'>, <TokenType.DATETIME: 'DATETIME'>, <TokenType.UPDATE: 'UPDATE'>}
SHOW_TRIE: Dict = {'TABLES': {0: True}, 'ALL': {'TABLES': {0: True}}}
SET_TRIE: Dict = {'GLOBAL': {0: True}, 'LOCAL': {0: True}, 'SESSION': {0: True}, 'TRANSACTION': {0: True}}
Inherited Members
sqlglot.parser.Parser
Parser
NO_PAREN_FUNCTIONS
STRUCT_TYPE_TOKENS
NESTED_TYPE_TOKENS
ENUM_TYPE_TOKENS
AGGREGATE_TYPE_TOKENS
TYPE_TOKENS
SIGNED_TO_UNSIGNED_TYPE_TOKEN
SUBQUERY_PREDICATES
RESERVED_TOKENS
DB_CREATABLES
CREATABLES
ALTERABLES
ALIAS_TOKENS
ARRAY_CONSTRUCTORS
COMMENT_TABLE_ALIAS_TOKENS
UPDATE_ALIAS_TOKENS
TRIM_TYPES
FUNC_TOKENS
CONJUNCTION
ASSIGNMENT
DISJUNCTION
EQUALITY
COMPARISON
TERM
FACTOR
TIMES
TIMESTAMPS
SET_OPERATIONS
JOIN_METHODS
JOIN_SIDES
JOIN_KINDS
JOIN_HINTS
LAMBDAS
COLUMN_OPERATORS
EXPRESSION_PARSERS
UNARY_PARSERS
STRING_PARSERS
NUMERIC_PARSERS
PRIMARY_PARSERS
PROPERTY_PARSERS
CONSTRAINT_PARSERS
ALTER_PARSERS
ALTER_ALTER_PARSERS
SCHEMA_UNNAMED_CONSTRAINTS
INVALID_FUNC_NAME_TOKENS
KEY_VALUE_DEFINITIONS
QUERY_MODIFIER_PARSERS
SET_PARSERS
TYPE_LITERAL_PARSERS
DDL_SELECT_TOKENS
PRE_VOLATILE_TOKENS
TRANSACTION_KIND
TRANSACTION_CHARACTERISTICS
CONFLICT_ACTIONS
CREATE_SEQUENCE
ISOLATED_LOADING_OPTIONS
USABLES
CAST_ACTIONS
SCHEMA_BINDING_OPTIONS
PROCEDURE_OPTIONS
EXECUTE_AS_OPTIONS
KEY_CONSTRAINT_OPTIONS
INSERT_ALTERNATIVES
CLONE_KEYWORDS
HISTORICAL_DATA_PREFIX
HISTORICAL_DATA_KIND
OPCLASS_FOLLOW_KEYWORDS
OPTYPE_FOLLOW_TOKENS
TABLE_INDEX_HINT_TOKENS
VIEW_ATTRIBUTES
WINDOW_ALIAS_TOKENS
WINDOW_BEFORE_PAREN_TOKENS
WINDOW_SIDES
JSON_KEY_VALUE_SEPARATOR_TOKENS
FETCH_TOKENS
ADD_CONSTRAINT_TOKENS
DISTINCT_TOKENS
NULL_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
PREFIXED_PIVOT_COLUMNS
IDENTIFY_PIVOT_STRINGS
LOG_DEFAULTS_TO_LN
ALTER_TABLE_ADD_REQUIRED_FOR_EACH_COLUMN
TABLESAMPLE_CSV
DEFAULT_SAMPLING_METHOD
SET_REQUIRES_ASSIGNMENT_DELIMITER
TRIM_PATTERN_FIRST
STRING_ALIASES
MODIFIERS_ATTACHED_TO_SET_OP
SET_OP_MODIFIERS
NO_PAREN_IF_COMMANDS
JSON_ARROWS_REQUIRE_JSON_TYPE
COLON_IS_VARIANT_EXTRACT
VALUES_FOLLOWED_BY_PAREN
SUPPORTS_IMPLICIT_UNNEST
INTERVAL_SPANS
SUPPORTS_PARTITION_SELECTION
WRAPPED_TRANSFORM_COLUMN_CONSTRAINT
OPTIONAL_ALIAS_TOKEN_CTE
error_level
error_message_context
max_errors
dialect
reset
parse
parse_into
check_errors
raise_error
expression
validate_expression
parse_set_operation
errors
sql
class DuckDB.Generator(sqlglot.generator.Generator):
 603    class Generator(generator.Generator):
 604        PARAMETER_TOKEN = "$"
 605        NAMED_PLACEHOLDER_TOKEN = "$"
 606        JOIN_HINTS = False
 607        TABLE_HINTS = False
 608        QUERY_HINTS = False
 609        LIMIT_FETCH = "LIMIT"
 610        STRUCT_DELIMITER = ("(", ")")
 611        RENAME_TABLE_WITH_DB = False
 612        NVL2_SUPPORTED = False
 613        SEMI_ANTI_JOIN_WITH_SIDE = False
 614        TABLESAMPLE_KEYWORDS = "USING SAMPLE"
 615        TABLESAMPLE_SEED_KEYWORD = "REPEATABLE"
 616        LAST_DAY_SUPPORTS_DATE_PART = False
 617        JSON_KEY_VALUE_PAIR_SEP = ","
 618        IGNORE_NULLS_IN_FUNC = True
 619        JSON_PATH_BRACKETED_KEY_SUPPORTED = False
 620        SUPPORTS_CREATE_TABLE_LIKE = False
 621        MULTI_ARG_DISTINCT = False
 622        CAN_IMPLEMENT_ARRAY_ANY = True
 623        SUPPORTS_TO_NUMBER = False
 624        COPY_HAS_INTO_KEYWORD = False
 625        STAR_EXCEPT = "EXCLUDE"
 626        PAD_FILL_PATTERN_IS_REQUIRED = True
 627        ARRAY_CONCAT_IS_VAR_LEN = False
 628        ARRAY_SIZE_DIM_REQUIRED = False
 629
 630        TRANSFORMS = {
 631            **generator.Generator.TRANSFORMS,
 632            exp.ApproxDistinct: approx_count_distinct_sql,
 633            exp.Array: inline_array_unless_query,
 634            exp.ArrayFilter: rename_func("LIST_FILTER"),
 635            exp.ArraySort: _array_sort_sql,
 636            exp.ArraySum: rename_func("LIST_SUM"),
 637            exp.BitwiseXor: rename_func("XOR"),
 638            exp.CommentColumnConstraint: no_comment_column_constraint_sql,
 639            exp.CurrentDate: lambda *_: "CURRENT_DATE",
 640            exp.CurrentTime: lambda *_: "CURRENT_TIME",
 641            exp.CurrentTimestamp: lambda *_: "CURRENT_TIMESTAMP",
 642            exp.DayOfMonth: rename_func("DAYOFMONTH"),
 643            exp.DayOfWeek: rename_func("DAYOFWEEK"),
 644            exp.DayOfWeekIso: rename_func("ISODOW"),
 645            exp.DayOfYear: rename_func("DAYOFYEAR"),
 646            exp.DataType: _datatype_sql,
 647            exp.Date: _date_sql,
 648            exp.DateAdd: _date_delta_sql,
 649            exp.DateFromParts: rename_func("MAKE_DATE"),
 650            exp.DateSub: _date_delta_sql,
 651            exp.DateDiff: _date_diff_sql,
 652            exp.DateStrToDate: datestrtodate_sql,
 653            exp.Datetime: no_datetime_sql,
 654            exp.DatetimeSub: _date_delta_sql,
 655            exp.DatetimeAdd: _date_delta_sql,
 656            exp.DateToDi: lambda self,
 657            e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.DATEINT_FORMAT}) AS INT)",
 658            exp.Decode: lambda self, e: encode_decode_sql(self, e, "DECODE", replace=False),
 659            exp.DiToDate: lambda self,
 660            e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.DATEINT_FORMAT}) AS DATE)",
 661            exp.Encode: lambda self, e: encode_decode_sql(self, e, "ENCODE", replace=False),
 662            exp.GenerateDateArray: _generate_datetime_array_sql,
 663            exp.GenerateTimestampArray: _generate_datetime_array_sql,
 664            exp.GroupConcat: lambda self, e: groupconcat_sql(self, e, within_group=False),
 665            exp.HexString: lambda self, e: self.hexstring_sql(e, binary_function_repr="FROM_HEX"),
 666            exp.Explode: rename_func("UNNEST"),
 667            exp.IntDiv: lambda self, e: self.binary(e, "//"),
 668            exp.IsInf: rename_func("ISINF"),
 669            exp.IsNan: rename_func("ISNAN"),
 670            exp.JSONBExists: rename_func("JSON_EXISTS"),
 671            exp.JSONExtract: _arrow_json_extract_sql,
 672            exp.JSONExtractArray: _json_extract_value_array_sql,
 673            exp.JSONExtractScalar: _arrow_json_extract_sql,
 674            exp.JSONFormat: _json_format_sql,
 675            exp.JSONValueArray: _json_extract_value_array_sql,
 676            exp.Lateral: explode_to_unnest_sql,
 677            exp.LogicalOr: rename_func("BOOL_OR"),
 678            exp.LogicalAnd: rename_func("BOOL_AND"),
 679            exp.MakeInterval: lambda self, e: no_make_interval_sql(self, e, sep=" "),
 680            exp.MD5Digest: lambda self, e: self.func("UNHEX", self.func("MD5", e.this)),
 681            exp.MonthsBetween: lambda self, e: self.func(
 682                "DATEDIFF",
 683                "'month'",
 684                exp.cast(e.expression, exp.DataType.Type.TIMESTAMP, copy=True),
 685                exp.cast(e.this, exp.DataType.Type.TIMESTAMP, copy=True),
 686            ),
 687            exp.PercentileCont: rename_func("QUANTILE_CONT"),
 688            exp.PercentileDisc: rename_func("QUANTILE_DISC"),
 689            # DuckDB doesn't allow qualified columns inside of PIVOT expressions.
 690            # See: https://github.com/duckdb/duckdb/blob/671faf92411182f81dce42ac43de8bfb05d9909e/src/planner/binder/tableref/bind_pivot.cpp#L61-L62
 691            exp.Pivot: transforms.preprocess([transforms.unqualify_columns]),
 692            exp.RegexpReplace: lambda self, e: self.func(
 693                "REGEXP_REPLACE",
 694                e.this,
 695                e.expression,
 696                e.args.get("replacement"),
 697                e.args.get("modifiers"),
 698            ),
 699            exp.RegexpLike: rename_func("REGEXP_MATCHES"),
 700            exp.RegexpILike: lambda self, e: self.func(
 701                "REGEXP_MATCHES", e.this, e.expression, exp.Literal.string("i")
 702            ),
 703            exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"),
 704            exp.Return: lambda self, e: self.sql(e, "this"),
 705            exp.ReturnsProperty: lambda self, e: "TABLE" if isinstance(e.this, exp.Schema) else "",
 706            exp.Rand: rename_func("RANDOM"),
 707            exp.SHA: rename_func("SHA1"),
 708            exp.SHA2: sha256_sql,
 709            exp.Split: rename_func("STR_SPLIT"),
 710            exp.SortArray: _sort_array_sql,
 711            exp.StrPosition: strposition_sql,
 712            exp.StrToUnix: lambda self, e: self.func(
 713                "EPOCH", self.func("STRPTIME", e.this, self.format_time(e))
 714            ),
 715            exp.Struct: _struct_sql,
 716            exp.Transform: rename_func("LIST_TRANSFORM"),
 717            exp.TimeAdd: _date_delta_sql,
 718            exp.Time: no_time_sql,
 719            exp.TimeDiff: _timediff_sql,
 720            exp.Timestamp: no_timestamp_sql,
 721            exp.TimestampDiff: lambda self, e: self.func(
 722                "DATE_DIFF", exp.Literal.string(e.unit), e.expression, e.this
 723            ),
 724            exp.TimestampTrunc: timestamptrunc_sql(),
 725            exp.TimeStrToDate: lambda self, e: self.sql(exp.cast(e.this, exp.DataType.Type.DATE)),
 726            exp.TimeStrToTime: timestrtotime_sql,
 727            exp.TimeStrToUnix: lambda self, e: self.func(
 728                "EPOCH", exp.cast(e.this, exp.DataType.Type.TIMESTAMP)
 729            ),
 730            exp.TimeToStr: lambda self, e: self.func("STRFTIME", e.this, self.format_time(e)),
 731            exp.TimeToUnix: rename_func("EPOCH"),
 732            exp.TsOrDiToDi: lambda self,
 733            e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)",
 734            exp.TsOrDsAdd: _date_delta_sql,
 735            exp.TsOrDsDiff: lambda self, e: self.func(
 736                "DATE_DIFF",
 737                f"'{e.args.get('unit') or 'DAY'}'",
 738                exp.cast(e.expression, exp.DataType.Type.TIMESTAMP),
 739                exp.cast(e.this, exp.DataType.Type.TIMESTAMP),
 740            ),
 741            exp.UnixToStr: lambda self, e: self.func(
 742                "STRFTIME", self.func("TO_TIMESTAMP", e.this), self.format_time(e)
 743            ),
 744            exp.DatetimeTrunc: lambda self, e: self.func(
 745                "DATE_TRUNC", unit_to_str(e), exp.cast(e.this, exp.DataType.Type.DATETIME)
 746            ),
 747            exp.UnixToTime: _unix_to_time_sql,
 748            exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)",
 749            exp.VariancePop: rename_func("VAR_POP"),
 750            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
 751            exp.Xor: bool_xor_sql,
 752            exp.Levenshtein: unsupported_args("ins_cost", "del_cost", "sub_cost", "max_dist")(
 753                rename_func("LEVENSHTEIN")
 754            ),
 755            exp.JSONObjectAgg: rename_func("JSON_GROUP_OBJECT"),
 756            exp.JSONBObjectAgg: rename_func("JSON_GROUP_OBJECT"),
 757            exp.DateBin: rename_func("TIME_BUCKET"),
 758        }
 759
 760        SUPPORTED_JSON_PATH_PARTS = {
 761            exp.JSONPathKey,
 762            exp.JSONPathRoot,
 763            exp.JSONPathSubscript,
 764            exp.JSONPathWildcard,
 765        }
 766
 767        TYPE_MAPPING = {
 768            **generator.Generator.TYPE_MAPPING,
 769            exp.DataType.Type.BINARY: "BLOB",
 770            exp.DataType.Type.BPCHAR: "TEXT",
 771            exp.DataType.Type.CHAR: "TEXT",
 772            exp.DataType.Type.DATETIME: "TIMESTAMP",
 773            exp.DataType.Type.FLOAT: "REAL",
 774            exp.DataType.Type.JSONB: "JSON",
 775            exp.DataType.Type.NCHAR: "TEXT",
 776            exp.DataType.Type.NVARCHAR: "TEXT",
 777            exp.DataType.Type.UINT: "UINTEGER",
 778            exp.DataType.Type.VARBINARY: "BLOB",
 779            exp.DataType.Type.ROWVERSION: "BLOB",
 780            exp.DataType.Type.VARCHAR: "TEXT",
 781            exp.DataType.Type.TIMESTAMPNTZ: "TIMESTAMP",
 782            exp.DataType.Type.TIMESTAMP_S: "TIMESTAMP_S",
 783            exp.DataType.Type.TIMESTAMP_MS: "TIMESTAMP_MS",
 784            exp.DataType.Type.TIMESTAMP_NS: "TIMESTAMP_NS",
 785        }
 786
 787        # https://github.com/duckdb/duckdb/blob/ff7f24fd8e3128d94371827523dae85ebaf58713/third_party/libpg_query/grammar/keywords/reserved_keywords.list#L1-L77
 788        RESERVED_KEYWORDS = {
 789            "array",
 790            "analyse",
 791            "union",
 792            "all",
 793            "when",
 794            "in_p",
 795            "default",
 796            "create_p",
 797            "window",
 798            "asymmetric",
 799            "to",
 800            "else",
 801            "localtime",
 802            "from",
 803            "end_p",
 804            "select",
 805            "current_date",
 806            "foreign",
 807            "with",
 808            "grant",
 809            "session_user",
 810            "or",
 811            "except",
 812            "references",
 813            "fetch",
 814            "limit",
 815            "group_p",
 816            "leading",
 817            "into",
 818            "collate",
 819            "offset",
 820            "do",
 821            "then",
 822            "localtimestamp",
 823            "check_p",
 824            "lateral_p",
 825            "current_role",
 826            "where",
 827            "asc_p",
 828            "placing",
 829            "desc_p",
 830            "user",
 831            "unique",
 832            "initially",
 833            "column",
 834            "both",
 835            "some",
 836            "as",
 837            "any",
 838            "only",
 839            "deferrable",
 840            "null_p",
 841            "current_time",
 842            "true_p",
 843            "table",
 844            "case",
 845            "trailing",
 846            "variadic",
 847            "for",
 848            "on",
 849            "distinct",
 850            "false_p",
 851            "not",
 852            "constraint",
 853            "current_timestamp",
 854            "returning",
 855            "primary",
 856            "intersect",
 857            "having",
 858            "analyze",
 859            "current_user",
 860            "and",
 861            "cast",
 862            "symmetric",
 863            "using",
 864            "order",
 865            "current_catalog",
 866        }
 867
 868        UNWRAPPED_INTERVAL_VALUES = (exp.Literal, exp.Paren)
 869
 870        # DuckDB doesn't generally support CREATE TABLE .. properties
 871        # https://duckdb.org/docs/sql/statements/create_table.html
 872        PROPERTIES_LOCATION = {
 873            prop: exp.Properties.Location.UNSUPPORTED
 874            for prop in generator.Generator.PROPERTIES_LOCATION
 875        }
 876
 877        # There are a few exceptions (e.g. temporary tables) which are supported or
 878        # can be transpiled to DuckDB, so we explicitly override them accordingly
 879        PROPERTIES_LOCATION[exp.LikeProperty] = exp.Properties.Location.POST_SCHEMA
 880        PROPERTIES_LOCATION[exp.TemporaryProperty] = exp.Properties.Location.POST_CREATE
 881        PROPERTIES_LOCATION[exp.ReturnsProperty] = exp.Properties.Location.POST_ALIAS
 882
 883        def show_sql(self, expression: exp.Show) -> str:
 884            return f"SHOW {expression.name}"
 885
 886        def fromiso8601timestamp_sql(self, expression: exp.FromISO8601Timestamp) -> str:
 887            return self.sql(exp.cast(expression.this, exp.DataType.Type.TIMESTAMPTZ))
 888
 889        def strtotime_sql(self, expression: exp.StrToTime) -> str:
 890            if expression.args.get("safe"):
 891                formatted_time = self.format_time(expression)
 892                return f"CAST({self.func('TRY_STRPTIME', expression.this, formatted_time)} AS TIMESTAMP)"
 893            return str_to_time_sql(self, expression)
 894
 895        def strtodate_sql(self, expression: exp.StrToDate) -> str:
 896            if expression.args.get("safe"):
 897                formatted_time = self.format_time(expression)
 898                return f"CAST({self.func('TRY_STRPTIME', expression.this, formatted_time)} AS DATE)"
 899            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
 900
 901        def parsejson_sql(self, expression: exp.ParseJSON) -> str:
 902            arg = expression.this
 903            if expression.args.get("safe"):
 904                return self.sql(exp.case().when(exp.func("json_valid", arg), arg).else_(exp.null()))
 905            return self.func("JSON", arg)
 906
 907        def timefromparts_sql(self, expression: exp.TimeFromParts) -> str:
 908            nano = expression.args.get("nano")
 909            if nano is not None:
 910                expression.set(
 911                    "sec", expression.args["sec"] + nano.pop() / exp.Literal.number(1000000000.0)
 912                )
 913
 914            return rename_func("MAKE_TIME")(self, expression)
 915
 916        def timestampfromparts_sql(self, expression: exp.TimestampFromParts) -> str:
 917            sec = expression.args["sec"]
 918
 919            milli = expression.args.get("milli")
 920            if milli is not None:
 921                sec += milli.pop() / exp.Literal.number(1000.0)
 922
 923            nano = expression.args.get("nano")
 924            if nano is not None:
 925                sec += nano.pop() / exp.Literal.number(1000000000.0)
 926
 927            if milli or nano:
 928                expression.set("sec", sec)
 929
 930            return rename_func("MAKE_TIMESTAMP")(self, expression)
 931
 932        def tablesample_sql(
 933            self,
 934            expression: exp.TableSample,
 935            tablesample_keyword: t.Optional[str] = None,
 936        ) -> str:
 937            if not isinstance(expression.parent, exp.Select):
 938                # This sample clause only applies to a single source, not the entire resulting relation
 939                tablesample_keyword = "TABLESAMPLE"
 940
 941            if expression.args.get("size"):
 942                method = expression.args.get("method")
 943                if method and method.name.upper() != "RESERVOIR":
 944                    self.unsupported(
 945                        f"Sampling method {method} is not supported with a discrete sample count, "
 946                        "defaulting to reservoir sampling"
 947                    )
 948                    expression.set("method", exp.var("RESERVOIR"))
 949
 950            return super().tablesample_sql(expression, tablesample_keyword=tablesample_keyword)
 951
 952        def interval_sql(self, expression: exp.Interval) -> str:
 953            multiplier: t.Optional[int] = None
 954            unit = expression.text("unit").lower()
 955
 956            if unit.startswith("week"):
 957                multiplier = 7
 958            if unit.startswith("quarter"):
 959                multiplier = 90
 960
 961            if multiplier:
 962                return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('DAY')))})"
 963
 964            return super().interval_sql(expression)
 965
 966        def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
 967            if isinstance(expression.parent, exp.UserDefinedFunction):
 968                return self.sql(expression, "this")
 969            return super().columndef_sql(expression, sep)
 970
 971        def join_sql(self, expression: exp.Join) -> str:
 972            if (
 973                expression.side == "LEFT"
 974                and not expression.args.get("on")
 975                and isinstance(expression.this, exp.Unnest)
 976            ):
 977                # Some dialects support `LEFT JOIN UNNEST(...)` without an explicit ON clause
 978                # DuckDB doesn't, but we can just add a dummy ON clause that is always true
 979                return super().join_sql(expression.on(exp.true()))
 980
 981            return super().join_sql(expression)
 982
 983        def generateseries_sql(self, expression: exp.GenerateSeries) -> str:
 984            # GENERATE_SERIES(a, b) -> [a, b], RANGE(a, b) -> [a, b)
 985            if expression.args.get("is_end_exclusive"):
 986                return rename_func("RANGE")(self, expression)
 987
 988            return self.function_fallback_sql(expression)
 989
 990        def countif_sql(self, expression: exp.CountIf) -> str:
 991            if self.dialect.version >= Version("1.2"):
 992                return self.function_fallback_sql(expression)
 993
 994            # https://github.com/tobymao/sqlglot/pull/4749
 995            return count_if_to_sum(self, expression)
 996
 997        def bracket_sql(self, expression: exp.Bracket) -> str:
 998            if self.dialect.version >= Version("1.2"):
 999                return super().bracket_sql(expression)
1000
1001            # https://duckdb.org/2025/02/05/announcing-duckdb-120.html#breaking-changes
1002            this = expression.this
1003            if isinstance(this, exp.Array):
1004                this.replace(exp.paren(this))
1005
1006            bracket = super().bracket_sql(expression)
1007
1008            if not expression.args.get("returns_list_for_maps"):
1009                if not this.type:
1010                    from sqlglot.optimizer.annotate_types import annotate_types
1011
1012                    this = annotate_types(this, dialect=self.dialect)
1013
1014                if this.is_type(exp.DataType.Type.MAP):
1015                    bracket = f"({bracket})[1]"
1016
1017            return bracket
1018
1019        def withingroup_sql(self, expression: exp.WithinGroup) -> str:
1020            expression_sql = self.sql(expression, "expression")
1021
1022            func = expression.this
1023            if isinstance(func, exp.PERCENTILES):
1024                # Make the order key the first arg and slide the fraction to the right
1025                # https://duckdb.org/docs/sql/aggregates#ordered-set-aggregate-functions
1026                order_col = expression.find(exp.Ordered)
1027                if order_col:
1028                    func.set("expression", func.this)
1029                    func.set("this", order_col.this)
1030
1031            this = self.sql(expression, "this").rstrip(")")
1032
1033            return f"{this}{expression_sql})"
1034
1035        def length_sql(self, expression: exp.Length) -> str:
1036            arg = expression.this
1037
1038            # Dialects like BQ and Snowflake also accept binary values as args, so
1039            # DDB will attempt to infer the type or resort to case/when resolution
1040            if not expression.args.get("binary") or arg.is_string:
1041                return self.func("LENGTH", arg)
1042
1043            if not arg.type:
1044                from sqlglot.optimizer.annotate_types import annotate_types
1045
1046                arg = annotate_types(arg, dialect=self.dialect)
1047
1048            if arg.is_type(*exp.DataType.TEXT_TYPES):
1049                return self.func("LENGTH", arg)
1050
1051            # We need these casts to make duckdb's static type checker happy
1052            blob = exp.cast(arg, exp.DataType.Type.VARBINARY)
1053            varchar = exp.cast(arg, exp.DataType.Type.VARCHAR)
1054
1055            case = (
1056                exp.case(self.func("TYPEOF", arg))
1057                .when("'BLOB'", self.func("OCTET_LENGTH", blob))
1058                .else_(
1059                    exp.Anonymous(this="LENGTH", expressions=[varchar])
1060                )  # anonymous to break length_sql recursion
1061            )
1062
1063            return self.sql(case)
1064
1065        def objectinsert_sql(self, expression: exp.ObjectInsert) -> str:
1066            this = expression.this
1067            key = expression.args.get("key")
1068            key_sql = key.name if isinstance(key, exp.Expression) else ""
1069            value_sql = self.sql(expression, "value")
1070
1071            kv_sql = f"{key_sql} := {value_sql}"
1072
1073            # If the input struct is empty e.g. transpiling OBJECT_INSERT(OBJECT_CONSTRUCT(), key, value) from Snowflake
1074            # then we can generate STRUCT_PACK which will build it since STRUCT_INSERT({}, key := value) is not valid DuckDB
1075            if isinstance(this, exp.Struct) and not this.expressions:
1076                return self.func("STRUCT_PACK", kv_sql)
1077
1078            return self.func("STRUCT_INSERT", this, kv_sql)
1079
1080        def unnest_sql(self, expression: exp.Unnest) -> str:
1081            explode_array = expression.args.get("explode_array")
1082            if explode_array:
1083                # In BigQuery, UNNESTing a nested array leads to explosion of the top-level array & struct
1084                # This is transpiled to DDB by transforming "FROM UNNEST(...)" to "FROM (SELECT UNNEST(..., max_depth => 2))"
1085                expression.expressions.append(
1086                    exp.Kwarg(this=exp.var("max_depth"), expression=exp.Literal.number(2))
1087                )
1088
1089                # If BQ's UNNEST is aliased, we transform it from a column alias to a table alias in DDB
1090                alias = expression.args.get("alias")
1091                if alias:
1092                    expression.set("alias", None)
1093                    alias = exp.TableAlias(this=seq_get(alias.args.get("columns"), 0))
1094
1095                unnest_sql = super().unnest_sql(expression)
1096                select = exp.Select(expressions=[unnest_sql]).subquery(alias)
1097                return self.sql(select)
1098
1099            return super().unnest_sql(expression)
1100
1101        def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
1102            if isinstance(expression.this, WINDOW_FUNCS_WITH_IGNORE_NULLS):
1103                # DuckDB should render IGNORE NULLS only for the general-purpose
1104                # window functions that accept it e.g. FIRST_VALUE(... IGNORE NULLS) OVER (...)
1105                return super().ignorenulls_sql(expression)
1106
1107            return self.sql(expression, "this")
1108
1109        def arraytostring_sql(self, expression: exp.ArrayToString) -> str:
1110            this = self.sql(expression, "this")
1111            null_text = self.sql(expression, "null")
1112
1113            if null_text:
1114                this = f"LIST_TRANSFORM({this}, x -> COALESCE(x, {null_text}))"
1115
1116            return self.func("ARRAY_TO_STRING", this, expression.expression)
1117
1118        @unsupported_args("position", "occurrence")
1119        def regexpextract_sql(self, expression: exp.RegexpExtract) -> str:
1120            group = expression.args.get("group")
1121            params = expression.args.get("parameters")
1122
1123            # Do not render group if there is no following argument,
1124            # and it's the default value for this dialect
1125            if (
1126                not params
1127                and group
1128                and group.name == str(self.dialect.REGEXP_EXTRACT_DEFAULT_GROUP)
1129            ):
1130                group = None
1131            return self.func(
1132                "REGEXP_EXTRACT", expression.this, expression.expression, group, params
1133            )
1134
1135        @unsupported_args("culture")
1136        def numbertostr_sql(self, expression: exp.NumberToStr) -> str:
1137            fmt = expression.args.get("format")
1138            if fmt and fmt.is_int:
1139                return self.func("FORMAT", f"'{{:,.{fmt.name}f}}'", expression.this)
1140
1141            self.unsupported("Only integer formats are supported by NumberToStr")
1142            return self.function_fallback_sql(expression)
1143
1144        def autoincrementcolumnconstraint_sql(self, _) -> str:
1145            self.unsupported("The AUTOINCREMENT column constraint is not supported by DuckDB")
1146            return ""

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
PARAMETER_TOKEN = '$'
NAMED_PLACEHOLDER_TOKEN = '$'
JOIN_HINTS = False
TABLE_HINTS = False
QUERY_HINTS = False
LIMIT_FETCH = 'LIMIT'
STRUCT_DELIMITER = ('(', ')')
RENAME_TABLE_WITH_DB = False
NVL2_SUPPORTED = False
SEMI_ANTI_JOIN_WITH_SIDE = False
TABLESAMPLE_KEYWORDS = 'USING SAMPLE'
TABLESAMPLE_SEED_KEYWORD = 'REPEATABLE'
LAST_DAY_SUPPORTS_DATE_PART = False
JSON_KEY_VALUE_PAIR_SEP = ','
IGNORE_NULLS_IN_FUNC = True
JSON_PATH_BRACKETED_KEY_SUPPORTED = False
SUPPORTS_CREATE_TABLE_LIKE = False
MULTI_ARG_DISTINCT = False
CAN_IMPLEMENT_ARRAY_ANY = True
SUPPORTS_TO_NUMBER = False
COPY_HAS_INTO_KEYWORD = False
STAR_EXCEPT = 'EXCLUDE'
PAD_FILL_PATTERN_IS_REQUIRED = True
ARRAY_CONCAT_IS_VAR_LEN = False
ARRAY_SIZE_DIM_REQUIRED = False
TRANSFORMS = {<class 'sqlglot.expressions.JSONPathKey'>: <function <lambda>>, <class 'sqlglot.expressions.JSONPathRoot'>: <function <lambda>>, <class 'sqlglot.expressions.JSONPathSubscript'>: <function <lambda>>, <class 'sqlglot.expressions.JSONPathWildcard'>: <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 no_comment_column_constraint_sql>, <class 'sqlglot.expressions.ConnectByRoot'>: <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.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.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 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.PivotAny'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ProjectionPolicyColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.RemoteWithConnectionModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ReturnsProperty'>: <function DuckDB.Generator.<lambda>>, <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 Generator.<lambda>>, <class 'sqlglot.expressions.Stream'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StreamingTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StrictProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SwapTable'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Tags'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TemporaryProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TitleColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ToMap'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ToTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TransformModelProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TransientProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Union'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UnloggedProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UsingTemplateProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UsingData'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Uuid'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UppercaseColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.VarMap'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ViewAttributeProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.VolatileProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithJournalTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithProcedureOptions'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithSchemaBindingProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithOperator'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ForceProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ApproxDistinct'>: <function approx_count_distinct_sql>, <class 'sqlglot.expressions.Array'>: <function inline_array_unless_query>, <class 'sqlglot.expressions.ArrayFilter'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.ArraySort'>: <function _array_sort_sql>, <class 'sqlglot.expressions.ArraySum'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.BitwiseXor'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.CurrentDate'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.CurrentTime'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.CurrentTimestamp'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.DayOfMonth'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DayOfWeek'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DayOfWeekIso'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DayOfYear'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DataType'>: <function _datatype_sql>, <class 'sqlglot.expressions.Date'>: <function _date_sql>, <class 'sqlglot.expressions.DateAdd'>: <function _date_delta_sql>, <class 'sqlglot.expressions.DateFromParts'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DateSub'>: <function _date_delta_sql>, <class 'sqlglot.expressions.DateDiff'>: <function _date_diff_sql>, <class 'sqlglot.expressions.DateStrToDate'>: <function datestrtodate_sql>, <class 'sqlglot.expressions.Datetime'>: <function no_datetime_sql>, <class 'sqlglot.expressions.DatetimeSub'>: <function _date_delta_sql>, <class 'sqlglot.expressions.DatetimeAdd'>: <function _date_delta_sql>, <class 'sqlglot.expressions.DateToDi'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.Decode'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.DiToDate'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.Encode'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.GenerateDateArray'>: <function _generate_datetime_array_sql>, <class 'sqlglot.expressions.GenerateTimestampArray'>: <function _generate_datetime_array_sql>, <class 'sqlglot.expressions.GroupConcat'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.HexString'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.Explode'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.IntDiv'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.IsInf'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.IsNan'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONBExists'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONExtract'>: <function _arrow_json_extract_sql>, <class 'sqlglot.expressions.JSONExtractArray'>: <function _json_extract_value_array_sql>, <class 'sqlglot.expressions.JSONExtractScalar'>: <function _arrow_json_extract_sql>, <class 'sqlglot.expressions.JSONFormat'>: <function _json_format_sql>, <class 'sqlglot.expressions.JSONValueArray'>: <function _json_extract_value_array_sql>, <class 'sqlglot.expressions.Lateral'>: <function explode_to_unnest_sql>, <class 'sqlglot.expressions.LogicalOr'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.LogicalAnd'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.MakeInterval'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.MD5Digest'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.MonthsBetween'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.PercentileCont'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.PercentileDisc'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Pivot'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.RegexpReplace'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.RegexpLike'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.RegexpILike'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.RegexpSplit'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Return'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.Rand'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.SHA'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.SHA2'>: <function sha256_sql>, <class 'sqlglot.expressions.Split'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.SortArray'>: <function _sort_array_sql>, <class 'sqlglot.expressions.StrPosition'>: <function strposition_sql>, <class 'sqlglot.expressions.StrToUnix'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.Struct'>: <function _struct_sql>, <class 'sqlglot.expressions.Transform'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeAdd'>: <function _date_delta_sql>, <class 'sqlglot.expressions.Time'>: <function no_time_sql>, <class 'sqlglot.expressions.TimeDiff'>: <function _timediff_sql>, <class 'sqlglot.expressions.Timestamp'>: <function no_timestamp_sql>, <class 'sqlglot.expressions.TimestampDiff'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.TimestampTrunc'>: <function timestamptrunc_sql.<locals>._timestamptrunc_sql>, <class 'sqlglot.expressions.TimeStrToDate'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.TimeStrToTime'>: <function timestrtotime_sql>, <class 'sqlglot.expressions.TimeStrToUnix'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.TimeToStr'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.TimeToUnix'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDiToDi'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.TsOrDsAdd'>: <function _date_delta_sql>, <class 'sqlglot.expressions.TsOrDsDiff'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.UnixToStr'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.DatetimeTrunc'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.UnixToTime'>: <function _unix_to_time_sql>, <class 'sqlglot.expressions.UnixToTimeStr'>: <function DuckDB.Generator.<lambda>>, <class 'sqlglot.expressions.VariancePop'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.WeekOfYear'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Xor'>: <function bool_xor_sql>, <class 'sqlglot.expressions.Levenshtein'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONObjectAgg'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONBObjectAgg'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DateBin'>: <function rename_func.<locals>.<lambda>>}
TYPE_MAPPING = {<Type.DATETIME2: 'DATETIME2'>: 'TIMESTAMP', <Type.NCHAR: 'NCHAR'>: 'TEXT', <Type.NVARCHAR: 'NVARCHAR'>: 'TEXT', <Type.MEDIUMTEXT: 'MEDIUMTEXT'>: 'TEXT', <Type.LONGTEXT: 'LONGTEXT'>: 'TEXT', <Type.TINYTEXT: 'TINYTEXT'>: 'TEXT', <Type.BLOB: 'BLOB'>: 'VARBINARY', <Type.MEDIUMBLOB: 'MEDIUMBLOB'>: 'BLOB', <Type.LONGBLOB: 'LONGBLOB'>: 'BLOB', <Type.TINYBLOB: 'TINYBLOB'>: 'BLOB', <Type.INET: 'INET'>: 'INET', <Type.ROWVERSION: 'ROWVERSION'>: 'BLOB', <Type.SMALLDATETIME: 'SMALLDATETIME'>: 'TIMESTAMP', <Type.BINARY: 'BINARY'>: 'BLOB', <Type.BPCHAR: 'BPCHAR'>: 'TEXT', <Type.CHAR: 'CHAR'>: 'TEXT', <Type.DATETIME: 'DATETIME'>: 'TIMESTAMP', <Type.FLOAT: 'FLOAT'>: 'REAL', <Type.JSONB: 'JSONB'>: 'JSON', <Type.UINT: 'UINT'>: 'UINTEGER', <Type.VARBINARY: 'VARBINARY'>: 'BLOB', <Type.VARCHAR: 'VARCHAR'>: 'TEXT', <Type.TIMESTAMPNTZ: 'TIMESTAMPNTZ'>: 'TIMESTAMP', <Type.TIMESTAMP_S: 'TIMESTAMP_S'>: 'TIMESTAMP_S', <Type.TIMESTAMP_MS: 'TIMESTAMP_MS'>: 'TIMESTAMP_MS', <Type.TIMESTAMP_NS: 'TIMESTAMP_NS'>: 'TIMESTAMP_NS'}
RESERVED_KEYWORDS = {'placing', 'localtimestamp', 'lateral_p', 'table', 'desc_p', 'intersect', 'with', 'returning', 'trailing', 'do', 'when', 'default', 'session_user', 'or', 'from', 'array', 'check_p', 'except', 'limit', 'false_p', 'case', 'as', 'some', 'null_p', 'in_p', 'primary', 'on', 'grant', 'both', 'using', 'current_timestamp', 'distinct', 'for', 'deferrable', 'group_p', 'else', 'symmetric', 'constraint', 'current_user', 'references', 'initially', 'into', 'variadic', 'and', 'window', 'order', 'current_catalog', 'having', 'current_role', 'to', 'cast', 'analyse', 'asc_p', 'current_time', 'where', 'analyze', 'user', 'fetch', 'foreign', 'only', 'localtime', 'unique', 'current_date', 'column', 'all', 'then', 'select', 'end_p', 'any', 'union', 'collate', 'asymmetric', 'leading', 'offset', 'true_p', 'not', 'create_p'}
UNWRAPPED_INTERVAL_VALUES = (<class 'sqlglot.expressions.Literal'>, <class 'sqlglot.expressions.Paren'>)
PROPERTIES_LOCATION = {<class 'sqlglot.expressions.AllowedValuesProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.AlgorithmProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.AutoIncrementProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.AutoRefreshProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.BackupProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.BlockCompressionProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.CharacterSetProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.ChecksumProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.CollateProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.CopyGrantsProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.Cluster'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.ClusteredByProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.DistributedByProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.DuplicateKeyProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.DataBlocksizeProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.DataDeletionProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.DefinerProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.DictRange'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.DictProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.DynamicProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.DistKeyProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.DistStyleProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.EmptyProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.EncodeProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.EngineProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.ExecuteAsProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.ExternalProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.FallbackProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.FileFormatProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.FreespaceProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.GlobalProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.HeapProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.InheritsProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.IcebergProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.IncludeProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.InputModelProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.IsolatedLoadingProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.JournalProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.LanguageProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.LikeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LocationProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.LockProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.LockingProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.LogProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.MaterializedProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.MergeBlockRatioProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.NoPrimaryIndexProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.OnProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.OnCommitProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.Order'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.OutputModelProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.PartitionedByProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.PartitionedOfProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.PrimaryKey'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.Property'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.RemoteWithConnectionModelProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.ReturnsProperty'>: <Location.POST_ALIAS: 'POST_ALIAS'>, <class 'sqlglot.expressions.RowFormatProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.RowFormatDelimitedProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.RowFormatSerdeProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SampleProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SchemaCommentProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SecureProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SecurityProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SerdeProperties'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.Set'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SettingsProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SetProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SetConfigProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SharingProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SequenceProperties'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SortKeyProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SqlReadWriteProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.SqlSecurityProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.StabilityProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.StorageHandlerProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.StreamingTableProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.StrictProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.Tags'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.TemporaryProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.ToTableProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.TransientProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.TransformModelProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.MergeTreeTTL'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.UnloggedProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.UsingTemplateProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.ViewAttributeProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.VolatileProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.WithDataProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.WithJournalTableProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.WithProcedureOptions'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.WithSchemaBindingProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.WithSystemVersioningProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.ForceProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>}
def show_sql(self, expression: sqlglot.expressions.Show) -> str:
883        def show_sql(self, expression: exp.Show) -> str:
884            return f"SHOW {expression.name}"
def fromiso8601timestamp_sql(self, expression: sqlglot.expressions.FromISO8601Timestamp) -> str:
886        def fromiso8601timestamp_sql(self, expression: exp.FromISO8601Timestamp) -> str:
887            return self.sql(exp.cast(expression.this, exp.DataType.Type.TIMESTAMPTZ))
def strtotime_sql(self, expression: sqlglot.expressions.StrToTime) -> str:
889        def strtotime_sql(self, expression: exp.StrToTime) -> str:
890            if expression.args.get("safe"):
891                formatted_time = self.format_time(expression)
892                return f"CAST({self.func('TRY_STRPTIME', expression.this, formatted_time)} AS TIMESTAMP)"
893            return str_to_time_sql(self, expression)
def strtodate_sql(self, expression: sqlglot.expressions.StrToDate) -> str:
895        def strtodate_sql(self, expression: exp.StrToDate) -> str:
896            if expression.args.get("safe"):
897                formatted_time = self.format_time(expression)
898                return f"CAST({self.func('TRY_STRPTIME', expression.this, formatted_time)} AS DATE)"
899            return f"CAST({str_to_time_sql(self, expression)} AS DATE)"
def parsejson_sql(self, expression: sqlglot.expressions.ParseJSON) -> str:
901        def parsejson_sql(self, expression: exp.ParseJSON) -> str:
902            arg = expression.this
903            if expression.args.get("safe"):
904                return self.sql(exp.case().when(exp.func("json_valid", arg), arg).else_(exp.null()))
905            return self.func("JSON", arg)
def timefromparts_sql(self, expression: sqlglot.expressions.TimeFromParts) -> str:
907        def timefromparts_sql(self, expression: exp.TimeFromParts) -> str:
908            nano = expression.args.get("nano")
909            if nano is not None:
910                expression.set(
911                    "sec", expression.args["sec"] + nano.pop() / exp.Literal.number(1000000000.0)
912                )
913
914            return rename_func("MAKE_TIME")(self, expression)
def timestampfromparts_sql(self, expression: sqlglot.expressions.TimestampFromParts) -> str:
916        def timestampfromparts_sql(self, expression: exp.TimestampFromParts) -> str:
917            sec = expression.args["sec"]
918
919            milli = expression.args.get("milli")
920            if milli is not None:
921                sec += milli.pop() / exp.Literal.number(1000.0)
922
923            nano = expression.args.get("nano")
924            if nano is not None:
925                sec += nano.pop() / exp.Literal.number(1000000000.0)
926
927            if milli or nano:
928                expression.set("sec", sec)
929
930            return rename_func("MAKE_TIMESTAMP")(self, expression)
def tablesample_sql( self, expression: sqlglot.expressions.TableSample, tablesample_keyword: Optional[str] = None) -> str:
932        def tablesample_sql(
933            self,
934            expression: exp.TableSample,
935            tablesample_keyword: t.Optional[str] = None,
936        ) -> str:
937            if not isinstance(expression.parent, exp.Select):
938                # This sample clause only applies to a single source, not the entire resulting relation
939                tablesample_keyword = "TABLESAMPLE"
940
941            if expression.args.get("size"):
942                method = expression.args.get("method")
943                if method and method.name.upper() != "RESERVOIR":
944                    self.unsupported(
945                        f"Sampling method {method} is not supported with a discrete sample count, "
946                        "defaulting to reservoir sampling"
947                    )
948                    expression.set("method", exp.var("RESERVOIR"))
949
950            return super().tablesample_sql(expression, tablesample_keyword=tablesample_keyword)
def interval_sql(self, expression: sqlglot.expressions.Interval) -> str:
952        def interval_sql(self, expression: exp.Interval) -> str:
953            multiplier: t.Optional[int] = None
954            unit = expression.text("unit").lower()
955
956            if unit.startswith("week"):
957                multiplier = 7
958            if unit.startswith("quarter"):
959                multiplier = 90
960
961            if multiplier:
962                return f"({multiplier} * {super().interval_sql(exp.Interval(this=expression.this, unit=exp.var('DAY')))})"
963
964            return super().interval_sql(expression)
def columndef_sql(self, expression: sqlglot.expressions.ColumnDef, sep: str = ' ') -> str:
966        def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
967            if isinstance(expression.parent, exp.UserDefinedFunction):
968                return self.sql(expression, "this")
969            return super().columndef_sql(expression, sep)
def join_sql(self, expression: sqlglot.expressions.Join) -> str:
971        def join_sql(self, expression: exp.Join) -> str:
972            if (
973                expression.side == "LEFT"
974                and not expression.args.get("on")
975                and isinstance(expression.this, exp.Unnest)
976            ):
977                # Some dialects support `LEFT JOIN UNNEST(...)` without an explicit ON clause
978                # DuckDB doesn't, but we can just add a dummy ON clause that is always true
979                return super().join_sql(expression.on(exp.true()))
980
981            return super().join_sql(expression)
def generateseries_sql(self, expression: sqlglot.expressions.GenerateSeries) -> str:
983        def generateseries_sql(self, expression: exp.GenerateSeries) -> str:
984            # GENERATE_SERIES(a, b) -> [a, b], RANGE(a, b) -> [a, b)
985            if expression.args.get("is_end_exclusive"):
986                return rename_func("RANGE")(self, expression)
987
988            return self.function_fallback_sql(expression)
def countif_sql(self, expression: sqlglot.expressions.CountIf) -> str:
990        def countif_sql(self, expression: exp.CountIf) -> str:
991            if self.dialect.version >= Version("1.2"):
992                return self.function_fallback_sql(expression)
993
994            # https://github.com/tobymao/sqlglot/pull/4749
995            return count_if_to_sum(self, expression)
def bracket_sql(self, expression: sqlglot.expressions.Bracket) -> str:
 997        def bracket_sql(self, expression: exp.Bracket) -> str:
 998            if self.dialect.version >= Version("1.2"):
 999                return super().bracket_sql(expression)
1000
1001            # https://duckdb.org/2025/02/05/announcing-duckdb-120.html#breaking-changes
1002            this = expression.this
1003            if isinstance(this, exp.Array):
1004                this.replace(exp.paren(this))
1005
1006            bracket = super().bracket_sql(expression)
1007
1008            if not expression.args.get("returns_list_for_maps"):
1009                if not this.type:
1010                    from sqlglot.optimizer.annotate_types import annotate_types
1011
1012                    this = annotate_types(this, dialect=self.dialect)
1013
1014                if this.is_type(exp.DataType.Type.MAP):
1015                    bracket = f"({bracket})[1]"
1016
1017            return bracket
def withingroup_sql(self, expression: sqlglot.expressions.WithinGroup) -> str:
1019        def withingroup_sql(self, expression: exp.WithinGroup) -> str:
1020            expression_sql = self.sql(expression, "expression")
1021
1022            func = expression.this
1023            if isinstance(func, exp.PERCENTILES):
1024                # Make the order key the first arg and slide the fraction to the right
1025                # https://duckdb.org/docs/sql/aggregates#ordered-set-aggregate-functions
1026                order_col = expression.find(exp.Ordered)
1027                if order_col:
1028                    func.set("expression", func.this)
1029                    func.set("this", order_col.this)
1030
1031            this = self.sql(expression, "this").rstrip(")")
1032
1033            return f"{this}{expression_sql})"
def length_sql(self, expression: sqlglot.expressions.Length) -> str:
1035        def length_sql(self, expression: exp.Length) -> str:
1036            arg = expression.this
1037
1038            # Dialects like BQ and Snowflake also accept binary values as args, so
1039            # DDB will attempt to infer the type or resort to case/when resolution
1040            if not expression.args.get("binary") or arg.is_string:
1041                return self.func("LENGTH", arg)
1042
1043            if not arg.type:
1044                from sqlglot.optimizer.annotate_types import annotate_types
1045
1046                arg = annotate_types(arg, dialect=self.dialect)
1047
1048            if arg.is_type(*exp.DataType.TEXT_TYPES):
1049                return self.func("LENGTH", arg)
1050
1051            # We need these casts to make duckdb's static type checker happy
1052            blob = exp.cast(arg, exp.DataType.Type.VARBINARY)
1053            varchar = exp.cast(arg, exp.DataType.Type.VARCHAR)
1054
1055            case = (
1056                exp.case(self.func("TYPEOF", arg))
1057                .when("'BLOB'", self.func("OCTET_LENGTH", blob))
1058                .else_(
1059                    exp.Anonymous(this="LENGTH", expressions=[varchar])
1060                )  # anonymous to break length_sql recursion
1061            )
1062
1063            return self.sql(case)
def objectinsert_sql(self, expression: sqlglot.expressions.ObjectInsert) -> str:
1065        def objectinsert_sql(self, expression: exp.ObjectInsert) -> str:
1066            this = expression.this
1067            key = expression.args.get("key")
1068            key_sql = key.name if isinstance(key, exp.Expression) else ""
1069            value_sql = self.sql(expression, "value")
1070
1071            kv_sql = f"{key_sql} := {value_sql}"
1072
1073            # If the input struct is empty e.g. transpiling OBJECT_INSERT(OBJECT_CONSTRUCT(), key, value) from Snowflake
1074            # then we can generate STRUCT_PACK which will build it since STRUCT_INSERT({}, key := value) is not valid DuckDB
1075            if isinstance(this, exp.Struct) and not this.expressions:
1076                return self.func("STRUCT_PACK", kv_sql)
1077
1078            return self.func("STRUCT_INSERT", this, kv_sql)
def unnest_sql(self, expression: sqlglot.expressions.Unnest) -> str:
1080        def unnest_sql(self, expression: exp.Unnest) -> str:
1081            explode_array = expression.args.get("explode_array")
1082            if explode_array:
1083                # In BigQuery, UNNESTing a nested array leads to explosion of the top-level array & struct
1084                # This is transpiled to DDB by transforming "FROM UNNEST(...)" to "FROM (SELECT UNNEST(..., max_depth => 2))"
1085                expression.expressions.append(
1086                    exp.Kwarg(this=exp.var("max_depth"), expression=exp.Literal.number(2))
1087                )
1088
1089                # If BQ's UNNEST is aliased, we transform it from a column alias to a table alias in DDB
1090                alias = expression.args.get("alias")
1091                if alias:
1092                    expression.set("alias", None)
1093                    alias = exp.TableAlias(this=seq_get(alias.args.get("columns"), 0))
1094
1095                unnest_sql = super().unnest_sql(expression)
1096                select = exp.Select(expressions=[unnest_sql]).subquery(alias)
1097                return self.sql(select)
1098
1099            return super().unnest_sql(expression)
def ignorenulls_sql(self, expression: sqlglot.expressions.IgnoreNulls) -> str:
1101        def ignorenulls_sql(self, expression: exp.IgnoreNulls) -> str:
1102            if isinstance(expression.this, WINDOW_FUNCS_WITH_IGNORE_NULLS):
1103                # DuckDB should render IGNORE NULLS only for the general-purpose
1104                # window functions that accept it e.g. FIRST_VALUE(... IGNORE NULLS) OVER (...)
1105                return super().ignorenulls_sql(expression)
1106
1107            return self.sql(expression, "this")
def arraytostring_sql(self, expression: sqlglot.expressions.ArrayToString) -> str:
1109        def arraytostring_sql(self, expression: exp.ArrayToString) -> str:
1110            this = self.sql(expression, "this")
1111            null_text = self.sql(expression, "null")
1112
1113            if null_text:
1114                this = f"LIST_TRANSFORM({this}, x -> COALESCE(x, {null_text}))"
1115
1116            return self.func("ARRAY_TO_STRING", this, expression.expression)
@unsupported_args('position', 'occurrence')
def regexpextract_sql(self, expression: sqlglot.expressions.RegexpExtract) -> str:
1118        @unsupported_args("position", "occurrence")
1119        def regexpextract_sql(self, expression: exp.RegexpExtract) -> str:
1120            group = expression.args.get("group")
1121            params = expression.args.get("parameters")
1122
1123            # Do not render group if there is no following argument,
1124            # and it's the default value for this dialect
1125            if (
1126                not params
1127                and group
1128                and group.name == str(self.dialect.REGEXP_EXTRACT_DEFAULT_GROUP)
1129            ):
1130                group = None
1131            return self.func(
1132                "REGEXP_EXTRACT", expression.this, expression.expression, group, params
1133            )
@unsupported_args('culture')
def numbertostr_sql(self, expression: sqlglot.expressions.NumberToStr) -> str:
1135        @unsupported_args("culture")
1136        def numbertostr_sql(self, expression: exp.NumberToStr) -> str:
1137            fmt = expression.args.get("format")
1138            if fmt and fmt.is_int:
1139                return self.func("FORMAT", f"'{{:,.{fmt.name}f}}'", expression.this)
1140
1141            self.unsupported("Only integer formats are supported by NumberToStr")
1142            return self.function_fallback_sql(expression)
def autoincrementcolumnconstraint_sql(self, _) -> str:
1144        def autoincrementcolumnconstraint_sql(self, _) -> str:
1145            self.unsupported("The AUTOINCREMENT column constraint is not supported by DuckDB")
1146            return ""
SELECT_KINDS: Tuple[str, ...] = ()
TRY_SUPPORTED = False
SUPPORTS_UESCAPE = False
AFTER_HAVING_MODIFIER_TRANSFORMS = {'windows': <function Generator.<lambda>>, 'qualify': <function Generator.<lambda>>}
Inherited Members
sqlglot.generator.Generator
Generator
NULL_ORDERING_SUPPORTED
LOCKING_READS_SUPPORTED
EXCEPT_INTERSECT_SUPPORT_ALL_CLAUSE
WRAP_DERIVED_VALUES
CREATE_FUNCTION_RETURN_AS
MATCHED_BY_SOURCE
SINGLE_STRING_INTERVAL
INTERVAL_ALLOWS_PLURAL_FORM
LIMIT_ONLY_LITERALS
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
VALUES_AS_TABLE
ALTER_TABLE_INCLUDE_COLUMN_KEYWORD
UNNEST_WITH_ORDINALITY
AGGREGATE_FILTER_SUPPORTED
COMPUTED_COLUMN_WITH_TYPE
SUPPORTS_TABLE_COPY
TABLESAMPLE_REQUIRES_PARENS
TABLESAMPLE_SIZE_IS_ROWS
TABLESAMPLE_WITH_METHOD
COLLATE_IS_FUNC
DATA_TYPE_SPECIFIERS_ALLOWED
ENSURE_BOOLS
CTE_RECURSIVE_KEYWORD_REQUIRED
SUPPORTS_SINGLE_ARG_CONCAT
SUPPORTS_TABLE_ALIAS_COLUMNS
UNPIVOT_ALIASES_ARE_IDENTIFIERS
INSERT_OVERWRITE
SUPPORTS_SELECT_INTO
SUPPORTS_UNLOGGED_TABLES
LIKE_PROPERTY_INSIDE_SCHEMA
JSON_TYPE_REQUIRED_FOR_EXTRACTION
JSON_PATH_SINGLE_QUOTE_ESCAPE
SET_OP_MODIFIERS
COPY_PARAMS_ARE_WRAPPED
COPY_PARAMS_EQ_REQUIRED
HEX_FUNC
WITH_PROPERTIES_PREFIX
QUOTE_JSON_PATH
SUPPORTS_EXPLODING_PROJECTIONS
SUPPORTS_CONVERT_TIMEZONE
SUPPORTS_MEDIAN
SUPPORTS_UNIX_SECONDS
PARSE_JSON_NAME
ARRAY_SIZE_NAME
ALTER_SET_TYPE
TIME_PART_SINGULARS
TOKEN_MAPPING
EXPRESSION_PRECEDES_PROPERTIES_CREATABLES
WITH_SEPARATED_COMMENTS
EXCLUDE_COMMENTS
PARAMETERIZABLE_TEXT_TYPES
EXPRESSIONS_WITHOUT_NESTED_CTES
SENTINEL_LINE_BREAK
pretty
identify
normalize
pad
unsupported_level
max_unsupported
leading_comma
max_text_width
comments
dialect
normalize_functions
unsupported_messages
generate
preprocess
unsupported
sep
seg
pad_comment
maybe_comment
wrap
no_identify
normalize_func
indent
sql
uncache_sql
cache_sql
characterset_sql
column_parts
column_sql
columnposition_sql
columnconstraint_sql
computedcolumnconstraint_sql
compresscolumnconstraint_sql
generatedasidentitycolumnconstraint_sql
generatedasrowcolumnconstraint_sql
periodforsystemtimeconstraint_sql
notnullcolumnconstraint_sql
transformcolumnconstraint_sql
primarykeycolumnconstraint_sql
uniquecolumnconstraint_sql
createable_sql
create_sql
sequenceproperties_sql
clone_sql
describe_sql
heredoc_sql
prepend_ctes
with_sql
cte_sql
tablealias_sql
bitstring_sql
hexstring_sql
bytestring_sql
unicodestring_sql
rawstring_sql
datatypeparam_sql
datatype_sql
directory_sql
delete_sql
drop_sql
set_operation
set_operations
fetch_sql
limitoptions_sql
filter_sql
hint_sql
indexparameters_sql
index_sql
identifier_sql
hex_sql
lowerhex_sql
inputoutputformat_sql
national_sql
partition_sql
properties_sql
root_properties
properties
with_properties
locate_properties
property_name
property_sql
likeproperty_sql
fallbackproperty_sql
journalproperty_sql
freespaceproperty_sql
checksumproperty_sql
mergeblockratioproperty_sql
datablocksizeproperty_sql
blockcompressionproperty_sql
isolatedloadingproperty_sql
partitionboundspec_sql
partitionedofproperty_sql
lockingproperty_sql
withdataproperty_sql
withsystemversioningproperty_sql
insert_sql
introducer_sql
kill_sql
pseudotype_sql
objectidentifier_sql
onconflict_sql
returning_sql
rowformatdelimitedproperty_sql
withtablehint_sql
indextablehint_sql
historicaldata_sql
table_parts
table_sql
tablefromrows_sql
pivot_sql
version_sql
tuple_sql
update_sql
values_sql
var_sql
into_sql
from_sql
groupingsets_sql
rollup_sql
cube_sql
group_sql
having_sql
connect_sql
prior_sql
lambda_sql
lateral_op
lateral_sql
limit_sql
offset_sql
setitem_sql
set_sql
pragma_sql
lock_sql
literal_sql
escape_str
loaddata_sql
null_sql
boolean_sql
order_sql
withfill_sql
cluster_sql
distribute_sql
sort_sql
ordered_sql
matchrecognizemeasure_sql
matchrecognize_sql
query_modifiers
options_modifier
queryoption_sql
offset_limit_modifiers
after_limit_modifiers
select_sql
schema_sql
schema_columns_sql
star_sql
parameter_sql
sessionparameter_sql
placeholder_sql
subquery_sql
qualify_sql
prewhere_sql
where_sql
window_sql
partition_by_sql
windowspec_sql
between_sql
bracket_offset_expressions
all_sql
any_sql
exists_sql
case_sql
constraint_sql
nextvaluefor_sql
extract_sql
trim_sql
convert_concat_args
concat_sql
concatws_sql
check_sql
foreignkey_sql
primarykey_sql
if_sql
matchagainst_sql
jsonkeyvalue_sql
jsonpath_sql
json_path_part
formatjson_sql
jsonobject_sql
jsonobjectagg_sql
jsonarray_sql
jsonarrayagg_sql
jsoncolumndef_sql
jsonschema_sql
jsontable_sql
openjsoncolumndef_sql
openjson_sql
in_sql
in_unnest_op
return_sql
reference_sql
anonymous_sql
paren_sql
neg_sql
not_sql
alias_sql
pivotalias_sql
aliases_sql
atindex_sql
attimezone_sql
fromtimezone_sql
add_sql
and_sql
or_sql
xor_sql
connector_sql
bitwiseand_sql
bitwiseleftshift_sql
bitwisenot_sql
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arrayagg_sql
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analyzesample_sql
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put_sql