sqlglot.dialects.hive API documentation

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# sqlglot.dialects.hive

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      1from __future__ import annotations
      2
      3import typing as t
      4
      5from sqlglot import exp, generator, parser, tokens, transforms
      6from sqlglot.dialects.dialect import (
      7    Dialect,
      8    approx_count_distinct_sql,
      9    create_with_partitions_sql,
     10    format_time_lambda,
     11    if_sql,
     12    left_to_substring_sql,
     13    locate_to_strposition,
     14    max_or_greatest,
     15    min_or_least,
     16    no_ilike_sql,
     17    no_recursive_cte_sql,
     18    no_safe_divide_sql,
     19    no_trycast_sql,
     20    regexp_extract_sql,
     21    regexp_replace_sql,
     22    rename_func,
     23    right_to_substring_sql,
     24    strposition_to_locate_sql,
     25    struct_extract_sql,
     26    timestrtotime_sql,
     27    var_map_sql,
     28)
     29from sqlglot.helper import seq_get
     30from sqlglot.parser import parse_var_map
     31from sqlglot.tokens import TokenType
     32
     33# (FuncType, Multiplier)
     34DATE_DELTA_INTERVAL = {
     35    "YEAR": ("ADD_MONTHS", 12),
     36    "MONTH": ("ADD_MONTHS", 1),
     37    "QUARTER": ("ADD_MONTHS", 3),
     38    "WEEK": ("DATE_ADD", 7),
     39    "DAY": ("DATE_ADD", 1),
     40}
     41
     42TIME_DIFF_FACTOR = {
     43    "MILLISECOND": " * 1000",
     44    "SECOND": "",
     45    "MINUTE": " / 60",
     46    "HOUR": " / 3600",
     47}
     48
     49DIFF_MONTH_SWITCH = ("YEAR", "QUARTER", "MONTH")
     50
     51
     52def _add_date_sql(self: generator.Generator, expression: exp.DateAdd | exp.DateSub) -> str:
     53    unit = expression.text("unit").upper()
     54    func, multiplier = DATE_DELTA_INTERVAL.get(unit, ("DATE_ADD", 1))
     55
     56    if isinstance(expression, exp.DateSub):
     57        multiplier *= -1
     58
     59    if expression.expression.is_number:
     60        modified_increment = exp.Literal.number(int(expression.text("expression")) * multiplier)
     61    else:
     62        modified_increment = expression.expression
     63        if multiplier != 1:
     64            modified_increment = exp.Mul(  # type: ignore
     65                this=modified_increment, expression=exp.Literal.number(multiplier)
     66            )
     67
     68    return self.func(func, expression.this, modified_increment)
     69
     70
     71def _date_diff_sql(self: generator.Generator, expression: exp.DateDiff) -> str:
     72    unit = expression.text("unit").upper()
     73
     74    factor = TIME_DIFF_FACTOR.get(unit)
     75    if factor is not None:
     76        left = self.sql(expression, "this")
     77        right = self.sql(expression, "expression")
     78        sec_diff = f"UNIX_TIMESTAMP({left}) - UNIX_TIMESTAMP({right})"
     79        return f"({sec_diff}){factor}" if factor else sec_diff
     80
     81    sql_func = "MONTHS_BETWEEN" if unit in DIFF_MONTH_SWITCH else "DATEDIFF"
     82    _, multiplier = DATE_DELTA_INTERVAL.get(unit, ("", 1))
     83    multiplier_sql = f" / {multiplier}" if multiplier > 1 else ""
     84    diff_sql = f"{sql_func}({self.format_args(expression.this, expression.expression)})"
     85
     86    return f"{diff_sql}{multiplier_sql}"
     87
     88
     89def _json_format_sql(self: generator.Generator, expression: exp.JSONFormat) -> str:
     90    this = expression.this
     91    if isinstance(this, exp.Cast) and this.is_type("json") and this.this.is_string:
     92        # Since FROM_JSON requires a nested type, we always wrap the json string with
     93        # an array to ensure that "naked" strings like "'a'" will be handled correctly
     94        wrapped_json = exp.Literal.string(f"[{this.this.name}]")
     95
     96        from_json = self.func("FROM_JSON", wrapped_json, self.func("SCHEMA_OF_JSON", wrapped_json))
     97        to_json = self.func("TO_JSON", from_json)
     98
     99        # This strips the [, ] delimiters of the dummy array printed by TO_JSON
    100        return self.func("REGEXP_EXTRACT", to_json, "'^.(.*).$'", "1")
    101
    102    return self.func("TO_JSON", this, expression.args.get("options"))
    103
    104
    105def _array_sort_sql(self: generator.Generator, expression: exp.ArraySort) -> str:
    106    if expression.expression:
    107        self.unsupported("Hive SORT_ARRAY does not support a comparator")
    108    return f"SORT_ARRAY({self.sql(expression, 'this')})"
    109
    110
    111def _property_sql(self: generator.Generator, expression: exp.Property) -> str:
    112    return f"'{expression.name}'={self.sql(expression, 'value')}"
    113
    114
    115def _str_to_unix_sql(self: generator.Generator, expression: exp.StrToUnix) -> str:
    116    return self.func("UNIX_TIMESTAMP", expression.this, _time_format(self, expression))
    117
    118
    119def _str_to_date_sql(self: generator.Generator, expression: exp.StrToDate) -> str:
    120    this = self.sql(expression, "this")
    121    time_format = self.format_time(expression)
    122    if time_format not in (Hive.TIME_FORMAT, Hive.DATE_FORMAT):
    123        this = f"FROM_UNIXTIME(UNIX_TIMESTAMP({this}, {time_format}))"
    124    return f"CAST({this} AS DATE)"
    125
    126
    127def _str_to_time_sql(self: generator.Generator, expression: exp.StrToTime) -> str:
    128    this = self.sql(expression, "this")
    129    time_format = self.format_time(expression)
    130    if time_format not in (Hive.TIME_FORMAT, Hive.DATE_FORMAT):
    131        this = f"FROM_UNIXTIME(UNIX_TIMESTAMP({this}, {time_format}))"
    132    return f"CAST({this} AS TIMESTAMP)"
    133
    134
    135def _time_format(
    136    self: generator.Generator, expression: exp.UnixToStr | exp.StrToUnix
    137) -> t.Optional[str]:
    138    time_format = self.format_time(expression)
    139    if time_format == Hive.TIME_FORMAT:
    140        return None
    141    return time_format
    142
    143
    144def _time_to_str(self: generator.Generator, expression: exp.TimeToStr) -> str:
    145    this = self.sql(expression, "this")
    146    time_format = self.format_time(expression)
    147    return f"DATE_FORMAT({this}, {time_format})"
    148
    149
    150def _to_date_sql(self: generator.Generator, expression: exp.TsOrDsToDate) -> str:
    151    this = self.sql(expression, "this")
    152    time_format = self.format_time(expression)
    153    if time_format and time_format not in (Hive.TIME_FORMAT, Hive.DATE_FORMAT):
    154        return f"TO_DATE({this}, {time_format})"
    155    return f"TO_DATE({this})"
    156
    157
    158class Hive(Dialect):
    159    ALIAS_POST_TABLESAMPLE = True
    160    IDENTIFIERS_CAN_START_WITH_DIGIT = True
    161
    162    # https://spark.apache.org/docs/latest/sql-ref-identifier.html#description
    163    RESOLVES_IDENTIFIERS_AS_UPPERCASE = None
    164
    165    TIME_MAPPING = {
    166        "y": "%Y",
    167        "Y": "%Y",
    168        "YYYY": "%Y",
    169        "yyyy": "%Y",
    170        "YY": "%y",
    171        "yy": "%y",
    172        "MMMM": "%B",
    173        "MMM": "%b",
    174        "MM": "%m",
    175        "M": "%-m",
    176        "dd": "%d",
    177        "d": "%-d",
    178        "HH": "%H",
    179        "H": "%-H",
    180        "hh": "%I",
    181        "h": "%-I",
    182        "mm": "%M",
    183        "m": "%-M",
    184        "ss": "%S",
    185        "s": "%-S",
    186        "SSSSSS": "%f",
    187        "a": "%p",
    188        "DD": "%j",
    189        "D": "%-j",
    190        "E": "%a",
    191        "EE": "%a",
    192        "EEE": "%a",
    193        "EEEE": "%A",
    194    }
    195
    196    DATE_FORMAT = "'yyyy-MM-dd'"
    197    DATEINT_FORMAT = "'yyyyMMdd'"
    198    TIME_FORMAT = "'yyyy-MM-dd HH:mm:ss'"
    199
    200    class Tokenizer(tokens.Tokenizer):
    201        QUOTES = ["'", '"']
    202        IDENTIFIERS = ["`"]
    203        STRING_ESCAPES = ["\\"]
    204        ENCODE = "utf-8"
    205
    206        KEYWORDS = {
    207            **tokens.Tokenizer.KEYWORDS,
    208            "ADD ARCHIVE": TokenType.COMMAND,
    209            "ADD ARCHIVES": TokenType.COMMAND,
    210            "ADD FILE": TokenType.COMMAND,
    211            "ADD FILES": TokenType.COMMAND,
    212            "ADD JAR": TokenType.COMMAND,
    213            "ADD JARS": TokenType.COMMAND,
    214            "MSCK REPAIR": TokenType.COMMAND,
    215            "REFRESH": TokenType.COMMAND,
    216            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
    217        }
    218
    219        NUMERIC_LITERALS = {
    220            "L": "BIGINT",
    221            "S": "SMALLINT",
    222            "Y": "TINYINT",
    223            "D": "DOUBLE",
    224            "F": "FLOAT",
    225            "BD": "DECIMAL",
    226        }
    227
    228    class Parser(parser.Parser):
    229        LOG_DEFAULTS_TO_LN = True
    230        STRICT_CAST = False
    231
    232        FUNCTIONS = {
    233            **parser.Parser.FUNCTIONS,
    234            "BASE64": exp.ToBase64.from_arg_list,
    235            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
    236            "COLLECT_SET": exp.SetAgg.from_arg_list,
    237            "DATE_ADD": lambda args: exp.TsOrDsAdd(
    238                this=seq_get(args, 0), expression=seq_get(args, 1), unit=exp.Literal.string("DAY")
    239            ),
    240            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
    241                [
    242                    exp.TimeStrToTime(this=seq_get(args, 0)),
    243                    seq_get(args, 1),
    244                ]
    245            ),
    246            "DATE_SUB": lambda args: exp.TsOrDsAdd(
    247                this=seq_get(args, 0),
    248                expression=exp.Mul(this=seq_get(args, 1), expression=exp.Literal.number(-1)),
    249                unit=exp.Literal.string("DAY"),
    250            ),
    251            "DATEDIFF": lambda args: exp.DateDiff(
    252                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
    253                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
    254            ),
    255            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    256            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
    257            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
    258            "LOCATE": locate_to_strposition,
    259            "MAP": parse_var_map,
    260            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
    261            "PERCENTILE": exp.Quantile.from_arg_list,
    262            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
    263            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
    264                this=seq_get(args, 0), expression=seq_get(args, 1), group=seq_get(args, 2)
    265            ),
    266            "SIZE": exp.ArraySize.from_arg_list,
    267            "SPLIT": exp.RegexpSplit.from_arg_list,
    268            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
    269            "TO_JSON": exp.JSONFormat.from_arg_list,
    270            "UNBASE64": exp.FromBase64.from_arg_list,
    271            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
    272            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
    273        }
    274
    275        FUNCTION_PARSERS = {
    276            **parser.Parser.FUNCTION_PARSERS,
    277            "TRANSFORM": lambda self: self._parse_transform(),
    278        }
    279
    280        PROPERTY_PARSERS = {
    281            **parser.Parser.PROPERTY_PARSERS,
    282            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
    283                expressions=self._parse_wrapped_csv(self._parse_property)
    284            ),
    285        }
    286
    287        def _parse_transform(self) -> exp.Transform | exp.QueryTransform:
    288            args = self._parse_csv(self._parse_lambda)
    289            self._match_r_paren()
    290
    291            row_format_before = self._parse_row_format(match_row=True)
    292
    293            record_writer = None
    294            if self._match_text_seq("RECORDWRITER"):
    295                record_writer = self._parse_string()
    296
    297            if not self._match(TokenType.USING):
    298                return exp.Transform.from_arg_list(args)
    299
    300            command_script = self._parse_string()
    301
    302            self._match(TokenType.ALIAS)
    303            schema = self._parse_schema()
    304
    305            row_format_after = self._parse_row_format(match_row=True)
    306            record_reader = None
    307            if self._match_text_seq("RECORDREADER"):
    308                record_reader = self._parse_string()
    309
    310            return self.expression(
    311                exp.QueryTransform,
    312                expressions=args,
    313                command_script=command_script,
    314                schema=schema,
    315                row_format_before=row_format_before,
    316                record_writer=record_writer,
    317                row_format_after=row_format_after,
    318                record_reader=record_reader,
    319            )
    320
    321        def _parse_types(
    322            self, check_func: bool = False, schema: bool = False
    323        ) -> t.Optional[exp.Expression]:
    324            """
    325            Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to
    326            STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0:
    327
    328                spark-sql (default)> select cast(1234 as varchar(2));
    329                23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support
    330                char/varchar type and simply treats them as string type. Please use string type
    331                directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString
    332                to true, so that Spark treat them as string type as same as Spark 3.0 and earlier
    333
    334                1234
    335                Time taken: 4.265 seconds, Fetched 1 row(s)
    336
    337            This shows that Spark doesn't truncate the value into '12', which is inconsistent with
    338            what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly.
    339
    340            Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html
    341            """
    342            this = super()._parse_types(check_func=check_func, schema=schema)
    343
    344            if this and not schema:
    345                return this.transform(
    346                    lambda node: node.replace(exp.DataType.build("text"))
    347                    if isinstance(node, exp.DataType) and node.is_type("char", "varchar")
    348                    else node,
    349                    copy=False,
    350                )
    351
    352            return this
    353
    354    class Generator(generator.Generator):
    355        LIMIT_FETCH = "LIMIT"
    356        TABLESAMPLE_WITH_METHOD = False
    357        TABLESAMPLE_SIZE_IS_PERCENT = True
    358        JOIN_HINTS = False
    359        TABLE_HINTS = False
    360        QUERY_HINTS = False
    361        INDEX_ON = "ON TABLE"
    362
    363        TYPE_MAPPING = {
    364            **generator.Generator.TYPE_MAPPING,
    365            exp.DataType.Type.TEXT: "STRING",
    366            exp.DataType.Type.DATETIME: "TIMESTAMP",
    367            exp.DataType.Type.VARBINARY: "BINARY",
    368            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
    369            exp.DataType.Type.BIT: "BOOLEAN",
    370        }
    371
    372        TRANSFORMS = {
    373            **generator.Generator.TRANSFORMS,
    374            exp.Group: transforms.preprocess([transforms.unalias_group]),
    375            exp.Select: transforms.preprocess(
    376                [
    377                    transforms.eliminate_qualify,
    378                    transforms.eliminate_distinct_on,
    379                    transforms.unnest_to_explode,
    380                ]
    381            ),
    382            exp.Property: _property_sql,
    383            exp.ApproxDistinct: approx_count_distinct_sql,
    384            exp.ArrayConcat: rename_func("CONCAT"),
    385            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
    386            exp.ArraySize: rename_func("SIZE"),
    387            exp.ArraySort: _array_sort_sql,
    388            exp.With: no_recursive_cte_sql,
    389            exp.DateAdd: _add_date_sql,
    390            exp.DateDiff: _date_diff_sql,
    391            exp.DateStrToDate: rename_func("TO_DATE"),
    392            exp.DateSub: _add_date_sql,
    393            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)",
    394            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})",
    395            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
    396            exp.FromBase64: rename_func("UNBASE64"),
    397            exp.If: if_sql,
    398            exp.ILike: no_ilike_sql,
    399            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
    400            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
    401            exp.JSONFormat: _json_format_sql,
    402            exp.Left: left_to_substring_sql,
    403            exp.Map: var_map_sql,
    404            exp.Max: max_or_greatest,
    405            exp.MD5Digest: lambda self, e: self.func("UNHEX", self.func("MD5", e.this)),
    406            exp.Min: min_or_least,
    407            exp.MonthsBetween: lambda self, e: self.func("MONTHS_BETWEEN", e.this, e.expression),
    408            exp.VarMap: var_map_sql,
    409            exp.Create: create_with_partitions_sql,
    410            exp.Quantile: rename_func("PERCENTILE"),
    411            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
    412            exp.RegexpExtract: regexp_extract_sql,
    413            exp.RegexpReplace: regexp_replace_sql,
    414            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
    415            exp.RegexpSplit: rename_func("SPLIT"),
    416            exp.Right: right_to_substring_sql,
    417            exp.SafeDivide: no_safe_divide_sql,
    418            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
    419            exp.SetAgg: rename_func("COLLECT_SET"),
    420            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
    421            exp.StrPosition: strposition_to_locate_sql,
    422            exp.StrToDate: _str_to_date_sql,
    423            exp.StrToTime: _str_to_time_sql,
    424            exp.StrToUnix: _str_to_unix_sql,
    425            exp.StructExtract: struct_extract_sql,
    426            exp.TimeStrToDate: rename_func("TO_DATE"),
    427            exp.TimeStrToTime: timestrtotime_sql,
    428            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
    429            exp.TimeToStr: _time_to_str,
    430            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
    431            exp.ToBase64: rename_func("BASE64"),
    432            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
    433            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
    434            exp.TsOrDsToDate: _to_date_sql,
    435            exp.TryCast: no_trycast_sql,
    436            exp.UnixToStr: lambda self, e: self.func(
    437                "FROM_UNIXTIME", e.this, _time_format(self, e)
    438            ),
    439            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
    440            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
    441            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
    442            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
    443            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
    444            exp.LastDateOfMonth: rename_func("LAST_DAY"),
    445            exp.National: lambda self, e: self.national_sql(e, prefix=""),
    446        }
    447
    448        PROPERTIES_LOCATION = {
    449            **generator.Generator.PROPERTIES_LOCATION,
    450            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
    451            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
    452            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
    453        }
    454
    455        def rowformatserdeproperty_sql(self, expression: exp.RowFormatSerdeProperty) -> str:
    456            serde_props = self.sql(expression, "serde_properties")
    457            serde_props = f" {serde_props}" if serde_props else ""
    458            return f"ROW FORMAT SERDE {self.sql(expression, 'this')}{serde_props}"
    459
    460        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
    461            return self.func(
    462                "COLLECT_LIST",
    463                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
    464            )
    465
    466        def with_properties(self, properties: exp.Properties) -> str:
    467            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))
    468
    469        def datatype_sql(self, expression: exp.DataType) -> str:
    470            if (
    471                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
    472                and not expression.expressions
    473            ):
    474                expression = exp.DataType.build("text")
    475            elif expression.this in exp.DataType.TEMPORAL_TYPES:
    476                expression = exp.DataType.build(expression.this)
    477            elif expression.is_type("float"):
    478                size_expression = expression.find(exp.DataTypeSize)
    479                if size_expression:
    480                    size = int(size_expression.name)
    481                    expression = (
    482                        exp.DataType.build("float") if size <= 32 else exp.DataType.build("double")
    483                    )
    484
    485            return super().datatype_sql(expression)

DATE_DELTA_INTERVAL = {'YEAR': ('ADD_MONTHS', 12), 'MONTH': ('ADD_MONTHS', 1), 'QUARTER': ('ADD_MONTHS', 3), 'WEEK': ('DATE_ADD', 7), 'DAY': ('DATE_ADD', 1)}
TIME_DIFF_FACTOR = {'MILLISECOND': ' * 1000', 'SECOND': '', 'MINUTE': ' / 60', 'HOUR': ' / 3600'}
DIFF_MONTH_SWITCH = ('YEAR', 'QUARTER', 'MONTH')
class Hive(sqlglot.dialects.dialect.Dialect): View Source

    159class Hive(Dialect):
    160    ALIAS_POST_TABLESAMPLE = True
    161    IDENTIFIERS_CAN_START_WITH_DIGIT = True
    162
    163    # https://spark.apache.org/docs/latest/sql-ref-identifier.html#description
    164    RESOLVES_IDENTIFIERS_AS_UPPERCASE = None
    165
    166    TIME_MAPPING = {
    167        "y": "%Y",
    168        "Y": "%Y",
    169        "YYYY": "%Y",
    170        "yyyy": "%Y",
    171        "YY": "%y",
    172        "yy": "%y",
    173        "MMMM": "%B",
    174        "MMM": "%b",
    175        "MM": "%m",
    176        "M": "%-m",
    177        "dd": "%d",
    178        "d": "%-d",
    179        "HH": "%H",
    180        "H": "%-H",
    181        "hh": "%I",
    182        "h": "%-I",
    183        "mm": "%M",
    184        "m": "%-M",
    185        "ss": "%S",
    186        "s": "%-S",
    187        "SSSSSS": "%f",
    188        "a": "%p",
    189        "DD": "%j",
    190        "D": "%-j",
    191        "E": "%a",
    192        "EE": "%a",
    193        "EEE": "%a",
    194        "EEEE": "%A",
    195    }
    196
    197    DATE_FORMAT = "'yyyy-MM-dd'"
    198    DATEINT_FORMAT = "'yyyyMMdd'"
    199    TIME_FORMAT = "'yyyy-MM-dd HH:mm:ss'"
    200
    201    class Tokenizer(tokens.Tokenizer):
    202        QUOTES = ["'", '"']
    203        IDENTIFIERS = ["`"]
    204        STRING_ESCAPES = ["\\"]
    205        ENCODE = "utf-8"
    206
    207        KEYWORDS = {
    208            **tokens.Tokenizer.KEYWORDS,
    209            "ADD ARCHIVE": TokenType.COMMAND,
    210            "ADD ARCHIVES": TokenType.COMMAND,
    211            "ADD FILE": TokenType.COMMAND,
    212            "ADD FILES": TokenType.COMMAND,
    213            "ADD JAR": TokenType.COMMAND,
    214            "ADD JARS": TokenType.COMMAND,
    215            "MSCK REPAIR": TokenType.COMMAND,
    216            "REFRESH": TokenType.COMMAND,
    217            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
    218        }
    219
    220        NUMERIC_LITERALS = {
    221            "L": "BIGINT",
    222            "S": "SMALLINT",
    223            "Y": "TINYINT",
    224            "D": "DOUBLE",
    225            "F": "FLOAT",
    226            "BD": "DECIMAL",
    227        }
    228
    229    class Parser(parser.Parser):
    230        LOG_DEFAULTS_TO_LN = True
    231        STRICT_CAST = False
    232
    233        FUNCTIONS = {
    234            **parser.Parser.FUNCTIONS,
    235            "BASE64": exp.ToBase64.from_arg_list,
    236            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
    237            "COLLECT_SET": exp.SetAgg.from_arg_list,
    238            "DATE_ADD": lambda args: exp.TsOrDsAdd(
    239                this=seq_get(args, 0), expression=seq_get(args, 1), unit=exp.Literal.string("DAY")
    240            ),
    241            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
    242                [
    243                    exp.TimeStrToTime(this=seq_get(args, 0)),
    244                    seq_get(args, 1),
    245                ]
    246            ),
    247            "DATE_SUB": lambda args: exp.TsOrDsAdd(
    248                this=seq_get(args, 0),
    249                expression=exp.Mul(this=seq_get(args, 1), expression=exp.Literal.number(-1)),
    250                unit=exp.Literal.string("DAY"),
    251            ),
    252            "DATEDIFF": lambda args: exp.DateDiff(
    253                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
    254                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
    255            ),
    256            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    257            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
    258            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
    259            "LOCATE": locate_to_strposition,
    260            "MAP": parse_var_map,
    261            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
    262            "PERCENTILE": exp.Quantile.from_arg_list,
    263            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
    264            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
    265                this=seq_get(args, 0), expression=seq_get(args, 1), group=seq_get(args, 2)
    266            ),
    267            "SIZE": exp.ArraySize.from_arg_list,
    268            "SPLIT": exp.RegexpSplit.from_arg_list,
    269            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
    270            "TO_JSON": exp.JSONFormat.from_arg_list,
    271            "UNBASE64": exp.FromBase64.from_arg_list,
    272            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
    273            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
    274        }
    275
    276        FUNCTION_PARSERS = {
    277            **parser.Parser.FUNCTION_PARSERS,
    278            "TRANSFORM": lambda self: self._parse_transform(),
    279        }
    280
    281        PROPERTY_PARSERS = {
    282            **parser.Parser.PROPERTY_PARSERS,
    283            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
    284                expressions=self._parse_wrapped_csv(self._parse_property)
    285            ),
    286        }
    287
    288        def _parse_transform(self) -> exp.Transform | exp.QueryTransform:
    289            args = self._parse_csv(self._parse_lambda)
    290            self._match_r_paren()
    291
    292            row_format_before = self._parse_row_format(match_row=True)
    293
    294            record_writer = None
    295            if self._match_text_seq("RECORDWRITER"):
    296                record_writer = self._parse_string()
    297
    298            if not self._match(TokenType.USING):
    299                return exp.Transform.from_arg_list(args)
    300
    301            command_script = self._parse_string()
    302
    303            self._match(TokenType.ALIAS)
    304            schema = self._parse_schema()
    305
    306            row_format_after = self._parse_row_format(match_row=True)
    307            record_reader = None
    308            if self._match_text_seq("RECORDREADER"):
    309                record_reader = self._parse_string()
    310
    311            return self.expression(
    312                exp.QueryTransform,
    313                expressions=args,
    314                command_script=command_script,
    315                schema=schema,
    316                row_format_before=row_format_before,
    317                record_writer=record_writer,
    318                row_format_after=row_format_after,
    319                record_reader=record_reader,
    320            )
    321
    322        def _parse_types(
    323            self, check_func: bool = False, schema: bool = False
    324        ) -> t.Optional[exp.Expression]:
    325            """
    326            Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to
    327            STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0:
    328
    329                spark-sql (default)> select cast(1234 as varchar(2));
    330                23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support
    331                char/varchar type and simply treats them as string type. Please use string type
    332                directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString
    333                to true, so that Spark treat them as string type as same as Spark 3.0 and earlier
    334
    335                1234
    336                Time taken: 4.265 seconds, Fetched 1 row(s)
    337
    338            This shows that Spark doesn't truncate the value into '12', which is inconsistent with
    339            what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly.
    340
    341            Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html
    342            """
    343            this = super()._parse_types(check_func=check_func, schema=schema)
    344
    345            if this and not schema:
    346                return this.transform(
    347                    lambda node: node.replace(exp.DataType.build("text"))
    348                    if isinstance(node, exp.DataType) and node.is_type("char", "varchar")
    349                    else node,
    350                    copy=False,
    351                )
    352
    353            return this
    354
    355    class Generator(generator.Generator):
    356        LIMIT_FETCH = "LIMIT"
    357        TABLESAMPLE_WITH_METHOD = False
    358        TABLESAMPLE_SIZE_IS_PERCENT = True
    359        JOIN_HINTS = False
    360        TABLE_HINTS = False
    361        QUERY_HINTS = False
    362        INDEX_ON = "ON TABLE"
    363
    364        TYPE_MAPPING = {
    365            **generator.Generator.TYPE_MAPPING,
    366            exp.DataType.Type.TEXT: "STRING",
    367            exp.DataType.Type.DATETIME: "TIMESTAMP",
    368            exp.DataType.Type.VARBINARY: "BINARY",
    369            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
    370            exp.DataType.Type.BIT: "BOOLEAN",
    371        }
    372
    373        TRANSFORMS = {
    374            **generator.Generator.TRANSFORMS,
    375            exp.Group: transforms.preprocess([transforms.unalias_group]),
    376            exp.Select: transforms.preprocess(
    377                [
    378                    transforms.eliminate_qualify,
    379                    transforms.eliminate_distinct_on,
    380                    transforms.unnest_to_explode,
    381                ]
    382            ),
    383            exp.Property: _property_sql,
    384            exp.ApproxDistinct: approx_count_distinct_sql,
    385            exp.ArrayConcat: rename_func("CONCAT"),
    386            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
    387            exp.ArraySize: rename_func("SIZE"),
    388            exp.ArraySort: _array_sort_sql,
    389            exp.With: no_recursive_cte_sql,
    390            exp.DateAdd: _add_date_sql,
    391            exp.DateDiff: _date_diff_sql,
    392            exp.DateStrToDate: rename_func("TO_DATE"),
    393            exp.DateSub: _add_date_sql,
    394            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)",
    395            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})",
    396            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
    397            exp.FromBase64: rename_func("UNBASE64"),
    398            exp.If: if_sql,
    399            exp.ILike: no_ilike_sql,
    400            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
    401            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
    402            exp.JSONFormat: _json_format_sql,
    403            exp.Left: left_to_substring_sql,
    404            exp.Map: var_map_sql,
    405            exp.Max: max_or_greatest,
    406            exp.MD5Digest: lambda self, e: self.func("UNHEX", self.func("MD5", e.this)),
    407            exp.Min: min_or_least,
    408            exp.MonthsBetween: lambda self, e: self.func("MONTHS_BETWEEN", e.this, e.expression),
    409            exp.VarMap: var_map_sql,
    410            exp.Create: create_with_partitions_sql,
    411            exp.Quantile: rename_func("PERCENTILE"),
    412            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
    413            exp.RegexpExtract: regexp_extract_sql,
    414            exp.RegexpReplace: regexp_replace_sql,
    415            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
    416            exp.RegexpSplit: rename_func("SPLIT"),
    417            exp.Right: right_to_substring_sql,
    418            exp.SafeDivide: no_safe_divide_sql,
    419            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
    420            exp.SetAgg: rename_func("COLLECT_SET"),
    421            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
    422            exp.StrPosition: strposition_to_locate_sql,
    423            exp.StrToDate: _str_to_date_sql,
    424            exp.StrToTime: _str_to_time_sql,
    425            exp.StrToUnix: _str_to_unix_sql,
    426            exp.StructExtract: struct_extract_sql,
    427            exp.TimeStrToDate: rename_func("TO_DATE"),
    428            exp.TimeStrToTime: timestrtotime_sql,
    429            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
    430            exp.TimeToStr: _time_to_str,
    431            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
    432            exp.ToBase64: rename_func("BASE64"),
    433            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
    434            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
    435            exp.TsOrDsToDate: _to_date_sql,
    436            exp.TryCast: no_trycast_sql,
    437            exp.UnixToStr: lambda self, e: self.func(
    438                "FROM_UNIXTIME", e.this, _time_format(self, e)
    439            ),
    440            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
    441            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
    442            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
    443            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
    444            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
    445            exp.LastDateOfMonth: rename_func("LAST_DAY"),
    446            exp.National: lambda self, e: self.national_sql(e, prefix=""),
    447        }
    448
    449        PROPERTIES_LOCATION = {
    450            **generator.Generator.PROPERTIES_LOCATION,
    451            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
    452            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
    453            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
    454        }
    455
    456        def rowformatserdeproperty_sql(self, expression: exp.RowFormatSerdeProperty) -> str:
    457            serde_props = self.sql(expression, "serde_properties")
    458            serde_props = f" {serde_props}" if serde_props else ""
    459            return f"ROW FORMAT SERDE {self.sql(expression, 'this')}{serde_props}"
    460
    461        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
    462            return self.func(
    463                "COLLECT_LIST",
    464                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
    465            )
    466
    467        def with_properties(self, properties: exp.Properties) -> str:
    468            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))
    469
    470        def datatype_sql(self, expression: exp.DataType) -> str:
    471            if (
    472                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
    473                and not expression.expressions
    474            ):
    475                expression = exp.DataType.build("text")
    476            elif expression.this in exp.DataType.TEMPORAL_TYPES:
    477                expression = exp.DataType.build(expression.this)
    478            elif expression.is_type("float"):
    479                size_expression = expression.find(exp.DataTypeSize)
    480                if size_expression:
    481                    size = int(size_expression.name)
    482                    expression = (
    483                        exp.DataType.build("float") if size <= 32 else exp.DataType.build("double")
    484                    )
    485
    486            return super().datatype_sql(expression)

ALIAS_POST_TABLESAMPLE = True
IDENTIFIERS_CAN_START_WITH_DIGIT = True
RESOLVES_IDENTIFIERS_AS_UPPERCASE: Optional[bool] = None
TIME_MAPPING: Dict[str, str] = {'y': '%Y', 'Y': '%Y', 'YYYY': '%Y', 'yyyy': '%Y', 'YY': '%y', 'yy': '%y', 'MMMM': '%B', 'MMM': '%b', 'MM': '%m', 'M': '%-m', 'dd': '%d', 'd': '%-d', 'HH': '%H', 'H': '%-H', 'hh': '%I', 'h': '%-I', 'mm': '%M', 'm': '%-M', 'ss': '%S', 's': '%-S', 'SSSSSS': '%f', 'a': '%p', 'DD': '%j', 'D': '%-j', 'E': '%a', 'EE': '%a', 'EEE': '%a', 'EEEE': '%A'}
DATE_FORMAT = "'yyyy-MM-dd'"
DATEINT_FORMAT = "'yyyyMMdd'"
TIME_FORMAT = "'yyyy-MM-dd HH:mm:ss'"
tokenizer_class = <class 'sqlglot.dialects.hive.Hive.Tokenizer'>
parser_class = <class 'sqlglot.dialects.hive.Hive.Parser'>
generator_class = <class 'sqlglot.dialects.hive.Hive.Generator'>
TIME_TRIE: Dict = {'y': {0: True, 'y': {'y': {'y': {0: True}}, 0: True}}, 'Y': {0: True, 'Y': {'Y': {'Y': {0: True}}, 0: True}}, 'M': {'M': {'M': {'M': {0: True}, 0: True}, 0: True}, 0: True}, 'd': {'d': {0: True}, 0: True}, 'H': {'H': {0: True}, 0: True}, 'h': {'h': {0: True}, 0: True}, 'm': {'m': {0: True}, 0: True}, 's': {'s': {0: True}, 0: True}, 'S': {'S': {'S': {'S': {'S': {'S': {0: True}}}}}}, 'a': {0: True}, 'D': {'D': {0: True}, 0: True}, 'E': {0: True, 'E': {0: True, 'E': {0: True, 'E': {0: True}}}}}
FORMAT_TRIE: Dict = {'y': {0: True, 'y': {'y': {'y': {0: True}}, 0: True}}, 'Y': {0: True, 'Y': {'Y': {'Y': {0: True}}, 0: True}}, 'M': {'M': {'M': {'M': {0: True}, 0: True}, 0: True}, 0: True}, 'd': {'d': {0: True}, 0: True}, 'H': {'H': {0: True}, 0: True}, 'h': {'h': {0: True}, 0: True}, 'm': {'m': {0: True}, 0: True}, 's': {'s': {0: True}, 0: True}, 'S': {'S': {'S': {'S': {'S': {'S': {0: True}}}}}}, 'a': {0: True}, 'D': {'D': {0: True}, 0: True}, 'E': {0: True, 'E': {0: True, 'E': {0: True, 'E': {0: True}}}}}
INVERSE_TIME_MAPPING: Dict[str, str] = {'%Y': 'yyyy', '%y': 'yy', '%B': 'MMMM', '%b': 'MMM', '%m': 'MM', '%-m': 'M', '%d': 'dd', '%-d': 'd', '%H': 'HH', '%-H': 'H', '%I': 'hh', '%-I': 'h', '%M': 'mm', '%-M': 'm', '%S': 'ss', '%-S': 's', '%f': 'SSSSSS', '%p': 'a', '%j': 'DD', '%-j': 'D', '%a': 'EEE', '%A': 'EEEE'}
INVERSE_TIME_TRIE: Dict = {'%': {'Y': {0: True}, 'y': {0: True}, 'B': {0: True}, 'b': {0: True}, 'm': {0: True}, '-': {'m': {0: True}, 'd': {0: True}, 'H': {0: True}, 'I': {0: True}, 'M': {0: True}, 'S': {0: True}, 'j': {0: True}}, 'd': {0: True}, 'H': {0: True}, 'I': {0: True}, 'M': {0: True}, 'S': {0: True}, 'f': {0: True}, 'p': {0: True}, 'j': {0: True}, 'a': {0: True}, 'A': {0: True}}}
QUOTE_START = "'"
QUOTE_END = "'"
IDENTIFIER_START = '`'
IDENTIFIER_END = '`'
BIT_START = None
BIT_END = None
HEX_START = None
HEX_END = None
BYTE_START = None
BYTE_END = None

##### Inherited Members

sqlglot.dialects.dialect.Dialect
  INDEX_OFFSET
  UNNEST_COLUMN_ONLY
  STRICT_STRING_CONCAT
  NORMALIZE_FUNCTIONS
  NULL_ORDERING
  FORMAT_MAPPING
  get_or_raise
  format_time
  normalize_identifier
  case_sensitive
  can_identify
  quote_identifier
  parse
  parse_into
  generate
  transpile
  tokenize
  tokenizer
  parser
  generator

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

    201    class Tokenizer(tokens.Tokenizer):
    202        QUOTES = ["'", '"']
    203        IDENTIFIERS = ["`"]
    204        STRING_ESCAPES = ["\\"]
    205        ENCODE = "utf-8"
    206
    207        KEYWORDS = {
    208            **tokens.Tokenizer.KEYWORDS,
    209            "ADD ARCHIVE": TokenType.COMMAND,
    210            "ADD ARCHIVES": TokenType.COMMAND,
    211            "ADD FILE": TokenType.COMMAND,
    212            "ADD FILES": TokenType.COMMAND,
    213            "ADD JAR": TokenType.COMMAND,
    214            "ADD JARS": TokenType.COMMAND,
    215            "MSCK REPAIR": TokenType.COMMAND,
    216            "REFRESH": TokenType.COMMAND,
    217            "WITH SERDEPROPERTIES": TokenType.SERDE_PROPERTIES,
    218        }
    219
    220        NUMERIC_LITERALS = {
    221            "L": "BIGINT",
    222            "S": "SMALLINT",
    223            "Y": "TINYINT",
    224            "D": "DOUBLE",
    225            "F": "FLOAT",
    226            "BD": "DECIMAL",
    227        }

QUOTES = ["'", '"']
IDENTIFIERS = ['`']
STRING_ESCAPES = ['\\']
ENCODE = 'utf-8'
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.HINT: 'HINT'>, '==': <TokenType.EQ: 'EQ'>, '::': <TokenType.DCOLON: 'DCOLON'>, '||': <TokenType.DPIPE: 'DPIPE'>, '>=': <TokenType.GTE: 'GTE'>, '<=': <TokenType.LTE: 'LTE'>, '<>': <TokenType.NEQ: 'NEQ'>, '!=': <TokenType.NEQ: 'NEQ'>, '<=>': <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'>, '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'>, 'CONSTRAINT': <TokenType.CONSTRAINT: 'CONSTRAINT'>, 'CREATE': <TokenType.CREATE: 'CREATE'>, 'CROSS': <TokenType.CROSS: 'CROSS'>, 'CUBE': <TokenType.CUBE: 'CUBE'>, 'CURRENT_DATE': <TokenType.CURRENT_DATE: 'CURRENT_DATE'>, 'CURRENT_TIME': <TokenType.CURRENT_TIME: 'CURRENT_TIME'>, 'CURRENT_TIMESTAMP': <TokenType.CURRENT_TIMESTAMP: 'CURRENT_TIMESTAMP'>, 'CURRENT_USER': <TokenType.CURRENT_USER: 'CURRENT_USER'>, 'DATABASE': <TokenType.DATABASE: 'DATABASE'>, 'DEFAULT': <TokenType.DEFAULT: 'DEFAULT'>, 'DELETE': <TokenType.DELETE: 'DELETE'>, 'DESC': <TokenType.DESC: 'DESC'>, 'DESCRIBE': <TokenType.DESCRIBE: 'DESCRIBE'>, 'DISTINCT': <TokenType.DISTINCT: 'DISTINCT'>, 'DISTRIBUTE BY': <TokenType.DISTRIBUTE_BY: 'DISTRIBUTE_BY'>, 'DIV': <TokenType.DIV: 'DIV'>, 'DROP': <TokenType.DROP: 'DROP'>, 'ELSE': <TokenType.ELSE: 'ELSE'>, 'END': <TokenType.END: 'END'>, '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'>, 'IF': <TokenType.IF: 'IF'>, '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'>, 'LATERAL': <TokenType.LATERAL: 'LATERAL'>, 'LEFT': <TokenType.LEFT: 'LEFT'>, 'LIKE': <TokenType.LIKE: 'LIKE'>, 'LIMIT': <TokenType.LIMIT: 'LIMIT'>, 'LOAD': <TokenType.LOAD: 'LOAD'>, 'LOCK': <TokenType.LOCK: 'LOCK'>, 'MERGE': <TokenType.MERGE: 'MERGE'>, 'NATURAL': <TokenType.NATURAL: 'NATURAL'>, 'NEXT': <TokenType.NEXT: 'NEXT'>, 'NEXT VALUE FOR': <TokenType.NEXT_VALUE_FOR: 'NEXT_VALUE_FOR'>, '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'>, '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'>, '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'>, 'UNION': <TokenType.UNION: 'UNION'>, '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'>, 'TINYINT': <TokenType.TINYINT: 'TINYINT'>, 'SHORT': <TokenType.SMALLINT: 'SMALLINT'>, 'SMALLINT': <TokenType.SMALLINT: 'SMALLINT'>, 'INT2': <TokenType.SMALLINT: 'SMALLINT'>, 'INTEGER': <TokenType.INT: 'INT'>, 'INT': <TokenType.INT: 'INT'>, 'INT4': <TokenType.INT: 'INT'>, 'LONG': <TokenType.BIGINT: 'BIGINT'>, 'BIGINT': <TokenType.BIGINT: 'BIGINT'>, 'INT8': <TokenType.BIGINT: 'BIGINT'>, 'DEC': <TokenType.DECIMAL: 'DECIMAL'>, 'DECIMAL': <TokenType.DECIMAL: 'DECIMAL'>, 'BIGDECIMAL': <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, 'BIGNUMERIC': <TokenType.BIGDECIMAL: 'BIGDECIMAL'>, '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'>, 'CHAR': <TokenType.CHAR: 'CHAR'>, 'CHARACTER': <TokenType.CHAR: 'CHAR'>, 'NCHAR': <TokenType.NCHAR: 'NCHAR'>, 'VARCHAR': <TokenType.VARCHAR: 'VARCHAR'>, 'VARCHAR2': <TokenType.VARCHAR: 'VARCHAR'>, 'NVARCHAR': <TokenType.NVARCHAR: 'NVARCHAR'>, 'NVARCHAR2': <TokenType.NVARCHAR: 'NVARCHAR'>, 'STR': <TokenType.TEXT: 'TEXT'>, 'STRING': <TokenType.TEXT: 'TEXT'>, 'TEXT': <TokenType.TEXT: 'TEXT'>, 'CLOB': <TokenType.TEXT: 'TEXT'>, 'LONGVARCHAR': <TokenType.TEXT: 'TEXT'>, 'BINARY': <TokenType.BINARY: 'BINARY'>, 'BLOB': <TokenType.VARBINARY: 'VARBINARY'>, 'BYTEA': <TokenType.VARBINARY: 'VARBINARY'>, 'VARBINARY': <TokenType.VARBINARY: 'VARBINARY'>, 'TIME': <TokenType.TIME: 'TIME'>, 'TIMESTAMP': <TokenType.TIMESTAMP: 'TIMESTAMP'>, 'TIMESTAMPTZ': <TokenType.TIMESTAMPTZ: 'TIMESTAMPTZ'>, 'TIMESTAMPLTZ': <TokenType.TIMESTAMPLTZ: 'TIMESTAMPLTZ'>, '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'>, 'STRUCT': <TokenType.STRUCT: 'STRUCT'>, 'VARIANT': <TokenType.VARIANT: 'VARIANT'>, 'ALTER': <TokenType.ALTER: 'ALTER'>, 'ANALYZE': <TokenType.COMMAND: 'COMMAND'>, 'CALL': <TokenType.COMMAND: 'COMMAND'>, 'COMMENT': <TokenType.COMMENT: 'COMMENT'>, 'COPY': <TokenType.COMMAND: 'COMMAND'>, 'EXPLAIN': <TokenType.COMMAND: 'COMMAND'>, 'GRANT': <TokenType.COMMAND: 'COMMAND'>, 'OPTIMIZE': <TokenType.COMMAND: 'COMMAND'>, 'PREPARE': <TokenType.COMMAND: 'COMMAND'>, 'TRUNCATE': <TokenType.COMMAND: 'COMMAND'>, 'VACUUM': <TokenType.COMMAND: 'COMMAND'>, 'USER-DEFINED': <TokenType.USERDEFINED: 'USERDEFINED'>, 'ADD ARCHIVE': <TokenType.COMMAND: 'COMMAND'>, 'ADD ARCHIVES': <TokenType.COMMAND: 'COMMAND'>, 'ADD FILE': <TokenType.COMMAND: 'COMMAND'>, 'ADD FILES': <TokenType.COMMAND: 'COMMAND'>, 'ADD JAR': <TokenType.COMMAND: 'COMMAND'>, 'ADD JARS': <TokenType.COMMAND: 'COMMAND'>, 'MSCK REPAIR': <TokenType.COMMAND: 'COMMAND'>, 'REFRESH': <TokenType.COMMAND: 'COMMAND'>, 'WITH SERDEPROPERTIES': <TokenType.SERDE_PROPERTIES: 'SERDE_PROPERTIES'>}
NUMERIC_LITERALS = {'L': 'BIGINT', 'S': 'SMALLINT', 'Y': 'TINYINT', 'D': 'DOUBLE', 'F': 'FLOAT', 'BD': 'DECIMAL'}
IDENTIFIERS_CAN_START_WITH_DIGIT: bool = True

##### Inherited Members

sqlglot.tokens.Tokenizer
  SINGLE_TOKENS
  BIT_STRINGS
  BYTE_STRINGS
  HEX_STRINGS
  RAW_STRINGS
  IDENTIFIER_ESCAPES
  VAR_SINGLE_TOKENS
  WHITE_SPACE
  COMMANDS
  COMMAND_PREFIX_TOKENS
  COMMENTS
  reset
  tokenize
  peek
  size
  sql
  tokens

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

    229    class Parser(parser.Parser):
    230        LOG_DEFAULTS_TO_LN = True
    231        STRICT_CAST = False
    232
    233        FUNCTIONS = {
    234            **parser.Parser.FUNCTIONS,
    235            "BASE64": exp.ToBase64.from_arg_list,
    236            "COLLECT_LIST": exp.ArrayAgg.from_arg_list,
    237            "COLLECT_SET": exp.SetAgg.from_arg_list,
    238            "DATE_ADD": lambda args: exp.TsOrDsAdd(
    239                this=seq_get(args, 0), expression=seq_get(args, 1), unit=exp.Literal.string("DAY")
    240            ),
    241            "DATE_FORMAT": lambda args: format_time_lambda(exp.TimeToStr, "hive")(
    242                [
    243                    exp.TimeStrToTime(this=seq_get(args, 0)),
    244                    seq_get(args, 1),
    245                ]
    246            ),
    247            "DATE_SUB": lambda args: exp.TsOrDsAdd(
    248                this=seq_get(args, 0),
    249                expression=exp.Mul(this=seq_get(args, 1), expression=exp.Literal.number(-1)),
    250                unit=exp.Literal.string("DAY"),
    251            ),
    252            "DATEDIFF": lambda args: exp.DateDiff(
    253                this=exp.TsOrDsToDate(this=seq_get(args, 0)),
    254                expression=exp.TsOrDsToDate(this=seq_get(args, 1)),
    255            ),
    256            "DAY": lambda args: exp.Day(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    257            "FROM_UNIXTIME": format_time_lambda(exp.UnixToStr, "hive", True),
    258            "GET_JSON_OBJECT": exp.JSONExtractScalar.from_arg_list,
    259            "LOCATE": locate_to_strposition,
    260            "MAP": parse_var_map,
    261            "MONTH": lambda args: exp.Month(this=exp.TsOrDsToDate.from_arg_list(args)),
    262            "PERCENTILE": exp.Quantile.from_arg_list,
    263            "PERCENTILE_APPROX": exp.ApproxQuantile.from_arg_list,
    264            "REGEXP_EXTRACT": lambda args: exp.RegexpExtract(
    265                this=seq_get(args, 0), expression=seq_get(args, 1), group=seq_get(args, 2)
    266            ),
    267            "SIZE": exp.ArraySize.from_arg_list,
    268            "SPLIT": exp.RegexpSplit.from_arg_list,
    269            "TO_DATE": format_time_lambda(exp.TsOrDsToDate, "hive"),
    270            "TO_JSON": exp.JSONFormat.from_arg_list,
    271            "UNBASE64": exp.FromBase64.from_arg_list,
    272            "UNIX_TIMESTAMP": format_time_lambda(exp.StrToUnix, "hive", True),
    273            "YEAR": lambda args: exp.Year(this=exp.TsOrDsToDate.from_arg_list(args)),
    274        }
    275
    276        FUNCTION_PARSERS = {
    277            **parser.Parser.FUNCTION_PARSERS,
    278            "TRANSFORM": lambda self: self._parse_transform(),
    279        }
    280
    281        PROPERTY_PARSERS = {
    282            **parser.Parser.PROPERTY_PARSERS,
    283            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
    284                expressions=self._parse_wrapped_csv(self._parse_property)
    285            ),
    286        }
    287
    288        def _parse_transform(self) -> exp.Transform | exp.QueryTransform:
    289            args = self._parse_csv(self._parse_lambda)
    290            self._match_r_paren()
    291
    292            row_format_before = self._parse_row_format(match_row=True)
    293
    294            record_writer = None
    295            if self._match_text_seq("RECORDWRITER"):
    296                record_writer = self._parse_string()
    297
    298            if not self._match(TokenType.USING):
    299                return exp.Transform.from_arg_list(args)
    300
    301            command_script = self._parse_string()
    302
    303            self._match(TokenType.ALIAS)
    304            schema = self._parse_schema()
    305
    306            row_format_after = self._parse_row_format(match_row=True)
    307            record_reader = None
    308            if self._match_text_seq("RECORDREADER"):
    309                record_reader = self._parse_string()
    310
    311            return self.expression(
    312                exp.QueryTransform,
    313                expressions=args,
    314                command_script=command_script,
    315                schema=schema,
    316                row_format_before=row_format_before,
    317                record_writer=record_writer,
    318                row_format_after=row_format_after,
    319                record_reader=record_reader,
    320            )
    321
    322        def _parse_types(
    323            self, check_func: bool = False, schema: bool = False
    324        ) -> t.Optional[exp.Expression]:
    325            """
    326            Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to
    327            STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0:
    328
    329                spark-sql (default)> select cast(1234 as varchar(2));
    330                23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support
    331                char/varchar type and simply treats them as string type. Please use string type
    332                directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString
    333                to true, so that Spark treat them as string type as same as Spark 3.0 and earlier
    334
    335                1234
    336                Time taken: 4.265 seconds, Fetched 1 row(s)
    337
    338            This shows that Spark doesn't truncate the value into '12', which is inconsistent with
    339            what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly.
    340
    341            Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html
    342            """
    343            this = super()._parse_types(check_func=check_func, schema=schema)
    344
    345            if this and not schema:
    346                return this.transform(
    347                    lambda node: node.replace(exp.DataType.build("text"))
    348                    if isinstance(node, exp.DataType) and node.is_type("char", "varchar")
    349                    else node,
    350                    copy=False,
    351                )
    352
    353            return 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: Determines 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

LOG_DEFAULTS_TO_LN = True
STRICT_CAST = False
FUNCTIONS = {'ABS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Abs'>>, 'ANY_VALUE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.AnyValue'>>, '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'>>, 'ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Array'>>, 'ARRAY_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayAgg'>>, '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_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayContains'>>, '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_JOIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayJoin'>>, 'ARRAY_SIZE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySize'>>, 'ARRAY_SORT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySort'>>, 'ARRAY_SUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySum'>>, 'ARRAY_UNION_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayUnionAgg'>>, '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'>>, 'CEIL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ceil'>>, 'CEILING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ceil'>>, 'COALESCE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Coalesce'>>, 'IFNULL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Coalesce'>>, 'NVL': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Coalesce'>>, 'CONCAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Concat'>>, 'CONCAT_WS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ConcatWs'>>, 'COUNT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Count'>>, 'COUNT_IF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CountIf'>>, 'CURRENT_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentDate'>>, 'CURRENT_DATETIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentDatetime'>>, 'CURRENT_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentTime'>>, 'CURRENT_TIMESTAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentTimestamp'>>, 'CURRENT_USER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.CurrentUser'>>, 'DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Date'>>, 'DATE_ADD': <function Hive.Parser.<lambda>>, 'DATEDIFF': <function Hive.Parser.<lambda>>, 'DATE_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateDiff'>>, 'DATEFROMPARTS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateFromParts'>>, 'DATE_STR_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateStrToDate'>>, 'DATE_SUB': <function Hive.Parser.<lambda>>, 'DATE_TO_DATE_STR': <function Parser.<lambda>>, 'DATE_TO_DI': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateToDi'>>, 'DATE_TRUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DateTrunc'>>, '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': <function Hive.Parser.<lambda>>, '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'>>, 'DAY_OF_YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfYear'>>, 'DAYOFYEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfYear'>>, 'DECODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Decode'>>, 'DI_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DiToDate'>>, 'ENCODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Encode'>>, 'EXP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Exp'>>, 'EXPLODE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Explode'>>, 'EXTRACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Extract'>>, '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'>>, 'GENERATE_SERIES': <bound method Func.from_arg_list of <class 'sqlglot.expressions.GenerateSeries'>>, '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': <bound method Func.from_arg_list of <class 'sqlglot.expressions.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'>>, 'INITCAP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Initcap'>>, 'JSON_ARRAY_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayContains'>>, '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'>>, 'JSON_EXTRACT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONExtract'>>, 'JSON_EXTRACT_SCALAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONExtractScalar'>>, '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'>>, 'LAST_DATE_OF_MONTH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.LastDateOfMonth'>>, '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'>>, 'LEVENSHTEIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Levenshtein'>>, 'LN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Ln'>>, 'LOG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Log'>>, 'LOG10': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Log10'>>, 'LOG2': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Log2'>>, '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': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Lower'>>, 'LCASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Lower'>>, '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'>>, 'MAP': <function parse_var_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'>>, 'MIN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Min'>>, 'MONTH': <function Hive.Parser.<lambda>>, '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'>>, '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'>>, 'OPEN_J_S_O_N': <bound method Func.from_arg_list of <class 'sqlglot.expressions.OpenJSON'>>, 'PARAMETERIZED_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ParameterizedAgg'>>, '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'>>, 'POWER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Pow'>>, 'POW': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Pow'>>, 'QUANTILE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Quantile'>>, '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 Hive.Parser.<lambda>>, 'REGEXP_I_LIKE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpILike'>>, 'REGEXP_LIKE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpLike'>>, 'REGEXP_REPLACE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpReplace'>>, 'REGEXP_SPLIT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpSplit'>>, 'REPEAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Repeat'>>, 'RIGHT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Right'>>, 'ROUND': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Round'>>, 'ROW_NUMBER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RowNumber'>>, 'SHA': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA'>>, 'SHA1': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA'>>, 'SHA2': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SHA2'>>, 'SAFE_CONCAT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SafeConcat'>>, 'SAFE_DIVIDE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SafeDivide'>>, 'SET_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SetAgg'>>, 'SORT_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SortArray'>>, 'SPLIT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpSplit'>>, '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'>>, 'STDDEV': <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_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'>>, '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'>>, 'SUBSTRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Substring'>>, 'SUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sum'>>, '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_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_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampAdd'>>, 'TIMESTAMP_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampDiff'>>, '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_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'>>, '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_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_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsToDate'>>, 'TS_OR_DS_TO_DATE_STR': <function Parser.<lambda>>, 'UNHEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Unhex'>>, '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'>>, 'UPPER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Upper'>>, 'UCASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Upper'>>, 'VAR_MAP': <function parse_var_map>, 'VARIANCE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VARIANCE_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VAR_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VARIANCE_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.VariancePop'>>, 'VAR_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.VariancePop'>>, 'WEEK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Week'>>, 'WEEK_OF_YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.WeekOfYear'>>, 'WEEKOFYEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.WeekOfYear'>>, 'WHEN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.When'>>, 'X_M_L_TABLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.XMLTable'>>, 'XOR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Xor'>>, 'YEAR': <function Hive.Parser.<lambda>>, 'GLOB': <function Parser.<lambda>>, 'LIKE': <function parse_like>, 'BASE64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToBase64'>>, 'COLLECT_LIST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayAgg'>>, 'COLLECT_SET': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SetAgg'>>, 'DATE_FORMAT': <function Hive.Parser.<lambda>>, 'FROM_UNIXTIME': <function format_time_lambda.<locals>._format_time>, 'GET_JSON_OBJECT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONExtractScalar'>>, 'LOCATE': <function locate_to_strposition>, 'PERCENTILE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Quantile'>>, 'PERCENTILE_APPROX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxQuantile'>>, 'SIZE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySize'>>, 'TO_DATE': <function format_time_lambda.<locals>._format_time>, 'TO_JSON': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONFormat'>>, 'UNBASE64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FromBase64'>>, 'UNIX_TIMESTAMP': <function format_time_lambda.<locals>._format_time>}
FUNCTION_PARSERS = {'ANY_VALUE': <function Parser.<lambda>>, 'CAST': <function Parser.<lambda>>, 'CONCAT': <function Parser.<lambda>>, 'CONVERT': <function Parser.<lambda>>, 'DECODE': <function Parser.<lambda>>, 'EXTRACT': <function Parser.<lambda>>, 'JSON_OBJECT': <function Parser.<lambda>>, 'LOG': <function Parser.<lambda>>, 'MATCH': <function Parser.<lambda>>, 'OPENJSON': <function Parser.<lambda>>, 'POSITION': <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>>, 'TRANSFORM': <function Hive.Parser.<lambda>>}
PROPERTY_PARSERS = {'ALGORITHM': <function Parser.<lambda>>, 'AUTO_INCREMENT': <function Parser.<lambda>>, 'BLOCKCOMPRESSION': <function Parser.<lambda>>, 'CHARACTER SET': <function Parser.<lambda>>, 'CHECKSUM': <function Parser.<lambda>>, 'CLUSTER BY': <function Parser.<lambda>>, 'CLUSTERED': <function Parser.<lambda>>, 'COLLATE': <function Parser.<lambda>>, 'COMMENT': <function Parser.<lambda>>, 'COPY': <function Parser.<lambda>>, 'DATABLOCKSIZE': <function Parser.<lambda>>, 'DEFINER': <function Parser.<lambda>>, 'DETERMINISTIC': <function Parser.<lambda>>, 'DISTKEY': <function Parser.<lambda>>, 'DISTSTYLE': <function Parser.<lambda>>, 'ENGINE': <function Parser.<lambda>>, 'EXECUTE': <function Parser.<lambda>>, 'EXTERNAL': <function Parser.<lambda>>, 'FALLBACK': <function Parser.<lambda>>, 'FORMAT': <function Parser.<lambda>>, 'FREESPACE': <function Parser.<lambda>>, 'IMMUTABLE': <function Parser.<lambda>>, 'JOURNAL': <function Parser.<lambda>>, 'LANGUAGE': <function Parser.<lambda>>, 'LAYOUT': <function Parser.<lambda>>, 'LIFETIME': <function Parser.<lambda>>, 'LIKE': <function Parser.<lambda>>, 'LOCATION': <function Parser.<lambda>>, 'LOCK': <function Parser.<lambda>>, 'LOCKING': <function Parser.<lambda>>, 'LOG': <function Parser.<lambda>>, 'MATERIALIZED': <function Parser.<lambda>>, 'MERGEBLOCKRATIO': <function Parser.<lambda>>, 'MULTISET': <function Parser.<lambda>>, 'NO': <function Parser.<lambda>>, 'ON': <function Parser.<lambda>>, 'ORDER BY': <function Parser.<lambda>>, 'PARTITION BY': <function Parser.<lambda>>, 'PARTITIONED BY': <function Parser.<lambda>>, 'PARTITIONED_BY': <function Parser.<lambda>>, 'PRIMARY KEY': <function Parser.<lambda>>, 'RANGE': <function Parser.<lambda>>, 'RETURNS': <function Parser.<lambda>>, 'ROW': <function Parser.<lambda>>, 'ROW_FORMAT': <function Parser.<lambda>>, 'SET': <function Parser.<lambda>>, 'SETTINGS': <function Parser.<lambda>>, 'SORTKEY': <function Parser.<lambda>>, 'SOURCE': <function Parser.<lambda>>, 'STABLE': <function Parser.<lambda>>, 'STORED': <function Parser.<lambda>>, 'TBLPROPERTIES': <function Parser.<lambda>>, 'TEMP': <function Parser.<lambda>>, 'TEMPORARY': <function Parser.<lambda>>, 'TO': <function Parser.<lambda>>, 'TRANSIENT': <function Parser.<lambda>>, 'TTL': <function Parser.<lambda>>, 'USING': <function Parser.<lambda>>, 'VOLATILE': <function Parser.<lambda>>, 'WITH': <function Parser.<lambda>>, 'WITH SERDEPROPERTIES': <function Hive.Parser.<lambda>>}
ALIAS_POST_TABLESAMPLE: bool = True
SHOW_TRIE: Dict = {}
SET_TRIE: Dict = {'GLOBAL': {0: True}, 'LOCAL': {0: True}, 'SESSION': {0: True}, 'TRANSACTION': {0: True}}
FORMAT_TRIE: Dict = {'y': {0: True, 'y': {'y': {'y': {0: True}}, 0: True}}, 'Y': {0: True, 'Y': {'Y': {'Y': {0: True}}, 0: True}}, 'M': {'M': {'M': {'M': {0: True}, 0: True}, 0: True}, 0: True}, 'd': {'d': {0: True}, 0: True}, 'H': {'H': {0: True}, 0: True}, 'h': {'h': {0: True}, 0: True}, 'm': {'m': {0: True}, 0: True}, 's': {'s': {0: True}, 0: True}, 'S': {'S': {'S': {'S': {'S': {'S': {0: True}}}}}}, 'a': {0: True}, 'D': {'D': {0: True}, 0: True}, 'E': {0: True, 'E': {0: True, 'E': {0: True, 'E': {0: True}}}}}
TIME_MAPPING: Dict[str, str] = {'y': '%Y', 'Y': '%Y', 'YYYY': '%Y', 'yyyy': '%Y', 'YY': '%y', 'yy': '%y', 'MMMM': '%B', 'MMM': '%b', 'MM': '%m', 'M': '%-m', 'dd': '%d', 'd': '%-d', 'HH': '%H', 'H': '%-H', 'hh': '%I', 'h': '%-I', 'mm': '%M', 'm': '%-M', 'ss': '%S', 's': '%-S', 'SSSSSS': '%f', 'a': '%p', 'DD': '%j', 'D': '%-j', 'E': '%a', 'EE': '%a', 'EEE': '%a', 'EEEE': '%A'}
TIME_TRIE: Dict = {'y': {0: True, 'y': {'y': {'y': {0: True}}, 0: True}}, 'Y': {0: True, 'Y': {'Y': {'Y': {0: True}}, 0: True}}, 'M': {'M': {'M': {'M': {0: True}, 0: True}, 0: True}, 0: True}, 'd': {'d': {0: True}, 0: True}, 'H': {'H': {0: True}, 0: True}, 'h': {'h': {0: True}, 0: True}, 'm': {'m': {0: True}, 0: True}, 's': {'s': {0: True}, 0: True}, 'S': {'S': {'S': {'S': {'S': {'S': {0: True}}}}}}, 'a': {0: True}, 'D': {'D': {0: True}, 0: True}, 'E': {0: True, 'E': {0: True, 'E': {0: True, 'E': {0: True}}}}}

##### Inherited Members

sqlglot.parser.Parser
  Parser
  NO_PAREN_FUNCTIONS
  NESTED_TYPE_TOKENS
  ENUM_TYPE_TOKENS
  TYPE_TOKENS
  SUBQUERY_PREDICATES
  RESERVED_KEYWORDS
  DB_CREATABLES
  CREATABLES
  ID_VAR_TOKENS
  INTERVAL_VARS
  TABLE_ALIAS_TOKENS
  COMMENT_TABLE_ALIAS_TOKENS
  UPDATE_ALIAS_TOKENS
  TRIM_TYPES
  FUNC_TOKENS
  CONJUNCTION
  EQUALITY
  COMPARISON
  BITWISE
  TERM
  FACTOR
  TIMESTAMPS
  SET_OPERATIONS
  JOIN_METHODS
  JOIN_SIDES
  JOIN_KINDS
  JOIN_HINTS
  LAMBDAS
  COLUMN_OPERATORS
  EXPRESSION_PARSERS
  STATEMENT_PARSERS
  UNARY_PARSERS
  PRIMARY_PARSERS
  PLACEHOLDER_PARSERS
  RANGE_PARSERS
  CONSTRAINT_PARSERS
  ALTER_PARSERS
  SCHEMA_UNNAMED_CONSTRAINTS
  NO_PAREN_FUNCTION_PARSERS
  FUNCTIONS_WITH_ALIASED_ARGS
  QUERY_MODIFIER_PARSERS
  SET_PARSERS
  SHOW_PARSERS
  TYPE_LITERAL_PARSERS
  MODIFIABLES
  DDL_SELECT_TOKENS
  PRE_VOLATILE_TOKENS
  TRANSACTION_KIND
  TRANSACTION_CHARACTERISTICS
  INSERT_ALTERNATIVES
  CLONE_KINDS
  TABLE_INDEX_HINT_TOKENS
  WINDOW_ALIAS_TOKENS
  WINDOW_BEFORE_PAREN_TOKENS
  WINDOW_SIDES
  ADD_CONSTRAINT_TOKENS
  CONCAT_NULL_OUTPUTS_STRING
  PREFIXED_PIVOT_COLUMNS
  IDENTIFY_PIVOT_STRINGS
  LOG_BASE_FIRST
  INDEX_OFFSET
  UNNEST_COLUMN_ONLY
  STRICT_STRING_CONCAT
  NULL_ORDERING
  FORMAT_MAPPING
  error_level
  error_message_context
  max_errors
  reset
  parse
  parse_into
  check_errors
  raise_error
  expression
  validate_expression
  errors
  sql

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

    355    class Generator(generator.Generator):
    356        LIMIT_FETCH = "LIMIT"
    357        TABLESAMPLE_WITH_METHOD = False
    358        TABLESAMPLE_SIZE_IS_PERCENT = True
    359        JOIN_HINTS = False
    360        TABLE_HINTS = False
    361        QUERY_HINTS = False
    362        INDEX_ON = "ON TABLE"
    363
    364        TYPE_MAPPING = {
    365            **generator.Generator.TYPE_MAPPING,
    366            exp.DataType.Type.TEXT: "STRING",
    367            exp.DataType.Type.DATETIME: "TIMESTAMP",
    368            exp.DataType.Type.VARBINARY: "BINARY",
    369            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
    370            exp.DataType.Type.BIT: "BOOLEAN",
    371        }
    372
    373        TRANSFORMS = {
    374            **generator.Generator.TRANSFORMS,
    375            exp.Group: transforms.preprocess([transforms.unalias_group]),
    376            exp.Select: transforms.preprocess(
    377                [
    378                    transforms.eliminate_qualify,
    379                    transforms.eliminate_distinct_on,
    380                    transforms.unnest_to_explode,
    381                ]
    382            ),
    383            exp.Property: _property_sql,
    384            exp.ApproxDistinct: approx_count_distinct_sql,
    385            exp.ArrayConcat: rename_func("CONCAT"),
    386            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
    387            exp.ArraySize: rename_func("SIZE"),
    388            exp.ArraySort: _array_sort_sql,
    389            exp.With: no_recursive_cte_sql,
    390            exp.DateAdd: _add_date_sql,
    391            exp.DateDiff: _date_diff_sql,
    392            exp.DateStrToDate: rename_func("TO_DATE"),
    393            exp.DateSub: _add_date_sql,
    394            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)",
    395            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})",
    396            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
    397            exp.FromBase64: rename_func("UNBASE64"),
    398            exp.If: if_sql,
    399            exp.ILike: no_ilike_sql,
    400            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
    401            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
    402            exp.JSONFormat: _json_format_sql,
    403            exp.Left: left_to_substring_sql,
    404            exp.Map: var_map_sql,
    405            exp.Max: max_or_greatest,
    406            exp.MD5Digest: lambda self, e: self.func("UNHEX", self.func("MD5", e.this)),
    407            exp.Min: min_or_least,
    408            exp.MonthsBetween: lambda self, e: self.func("MONTHS_BETWEEN", e.this, e.expression),
    409            exp.VarMap: var_map_sql,
    410            exp.Create: create_with_partitions_sql,
    411            exp.Quantile: rename_func("PERCENTILE"),
    412            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
    413            exp.RegexpExtract: regexp_extract_sql,
    414            exp.RegexpReplace: regexp_replace_sql,
    415            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
    416            exp.RegexpSplit: rename_func("SPLIT"),
    417            exp.Right: right_to_substring_sql,
    418            exp.SafeDivide: no_safe_divide_sql,
    419            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
    420            exp.SetAgg: rename_func("COLLECT_SET"),
    421            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
    422            exp.StrPosition: strposition_to_locate_sql,
    423            exp.StrToDate: _str_to_date_sql,
    424            exp.StrToTime: _str_to_time_sql,
    425            exp.StrToUnix: _str_to_unix_sql,
    426            exp.StructExtract: struct_extract_sql,
    427            exp.TimeStrToDate: rename_func("TO_DATE"),
    428            exp.TimeStrToTime: timestrtotime_sql,
    429            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
    430            exp.TimeToStr: _time_to_str,
    431            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
    432            exp.ToBase64: rename_func("BASE64"),
    433            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
    434            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
    435            exp.TsOrDsToDate: _to_date_sql,
    436            exp.TryCast: no_trycast_sql,
    437            exp.UnixToStr: lambda self, e: self.func(
    438                "FROM_UNIXTIME", e.this, _time_format(self, e)
    439            ),
    440            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
    441            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
    442            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
    443            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
    444            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
    445            exp.LastDateOfMonth: rename_func("LAST_DAY"),
    446            exp.National: lambda self, e: self.national_sql(e, prefix=""),
    447        }
    448
    449        PROPERTIES_LOCATION = {
    450            **generator.Generator.PROPERTIES_LOCATION,
    451            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
    452            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
    453            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
    454        }
    455
    456        def rowformatserdeproperty_sql(self, expression: exp.RowFormatSerdeProperty) -> str:
    457            serde_props = self.sql(expression, "serde_properties")
    458            serde_props = f" {serde_props}" if serde_props else ""
    459            return f"ROW FORMAT SERDE {self.sql(expression, 'this')}{serde_props}"
    460
    461        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
    462            return self.func(
    463                "COLLECT_LIST",
    464                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
    465            )
    466
    467        def with_properties(self, properties: exp.Properties) -> str:
    468            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))
    469
    470        def datatype_sql(self, expression: exp.DataType) -> str:
    471            if (
    472                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
    473                and not expression.expressions
    474            ):
    475                expression = exp.DataType.build("text")
    476            elif expression.this in exp.DataType.TEMPORAL_TYPES:
    477                expression = exp.DataType.build(expression.this)
    478            elif expression.is_type("float"):
    479                size_expression = expression.find(exp.DataTypeSize)
    480                if size_expression:
    481                    size = int(size_expression.name)
    482                    expression = (
    483                        exp.DataType.build("float") if size <= 32 else exp.DataType.build("double")
    484                    )
    485
    486            return super().datatype_sql(expression)

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

###### Arguments:

- pretty: Whether or not 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 or not to normalize identifiers to lowercase. Default: False.
- pad: Determines the pad size in a formatted string. Default: 2.
- indent: Determines the indentation size in a formatted string. Default: 2.
- normalize_functions: Whether or not to normalize all 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: Determines whether or not 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 or not to preserve comments in the output SQL code. Default: True

LIMIT_FETCH = 'LIMIT'
TABLESAMPLE_WITH_METHOD = False
TABLESAMPLE_SIZE_IS_PERCENT = True
JOIN_HINTS = False
TABLE_HINTS = False
QUERY_HINTS = False
INDEX_ON = 'ON TABLE'
TYPE_MAPPING = {<Type.NCHAR: 'NCHAR'>: 'CHAR', <Type.NVARCHAR: 'NVARCHAR'>: 'VARCHAR', <Type.MEDIUMTEXT: 'MEDIUMTEXT'>: 'TEXT', <Type.LONGTEXT: 'LONGTEXT'>: 'TEXT', <Type.MEDIUMBLOB: 'MEDIUMBLOB'>: 'BLOB', <Type.LONGBLOB: 'LONGBLOB'>: 'BLOB', <Type.INET: 'INET'>: 'INET', <Type.TEXT: 'TEXT'>: 'STRING', <Type.DATETIME: 'DATETIME'>: 'TIMESTAMP', <Type.VARBINARY: 'VARBINARY'>: 'BINARY', <Type.TIMESTAMPTZ: 'TIMESTAMPTZ'>: 'TIMESTAMP', <Type.BIT: 'BIT'>: 'BOOLEAN'}
TRANSFORMS = {<class 'sqlglot.expressions.DateAdd'>: <function _add_date_sql>, <class 'sqlglot.expressions.TsOrDsAdd'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.CaseSpecificColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CharacterSetColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CharacterSetProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CheckColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CollateColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CopyGrantsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.CommentColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DateFormatColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.DefaultColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.EncodeColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExecuteAsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ExternalProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InlineLengthColumnConstraint'>: <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.NoPrimaryIndexProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnCommitProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnUpdateColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.PathColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ReturnsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SetProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SettingsProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.SqlSecurityProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.StabilityProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TemporaryProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.ToTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TransientProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.TitleColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.UppercaseColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.VarMap'>: <function var_map_sql>, <class 'sqlglot.expressions.VolatileProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.WithJournalTableProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.Group'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.Select'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.Property'>: <function _property_sql>, <class 'sqlglot.expressions.ApproxDistinct'>: <function approx_count_distinct_sql>, <class 'sqlglot.expressions.ArrayConcat'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.ArrayJoin'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.ArraySize'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.ArraySort'>: <function _array_sort_sql>, <class 'sqlglot.expressions.With'>: <function no_recursive_cte_sql>, <class 'sqlglot.expressions.DateDiff'>: <function _date_diff_sql>, <class 'sqlglot.expressions.DateStrToDate'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DateSub'>: <function _add_date_sql>, <class 'sqlglot.expressions.DateToDi'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.DiToDate'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.FileFormatProperty'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.FromBase64'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.If'>: <function if_sql>, <class 'sqlglot.expressions.ILike'>: <function no_ilike_sql>, <class 'sqlglot.expressions.JSONExtract'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONExtractScalar'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.JSONFormat'>: <function _json_format_sql>, <class 'sqlglot.expressions.Left'>: <function left_to_substring_sql>, <class 'sqlglot.expressions.Map'>: <function var_map_sql>, <class 'sqlglot.expressions.Max'>: <function max_or_greatest>, <class 'sqlglot.expressions.MD5Digest'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.Min'>: <function min_or_least>, <class 'sqlglot.expressions.MonthsBetween'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.Create'>: <function create_with_partitions_sql>, <class 'sqlglot.expressions.Quantile'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.ApproxQuantile'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.RegexpExtract'>: <function regexp_extract_sql>, <class 'sqlglot.expressions.RegexpReplace'>: <function regexp_replace_sql>, <class 'sqlglot.expressions.RegexpLike'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.RegexpSplit'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Right'>: <function right_to_substring_sql>, <class 'sqlglot.expressions.SafeDivide'>: <function no_safe_divide_sql>, <class 'sqlglot.expressions.SchemaCommentProperty'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.SetAgg'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Split'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.StrPosition'>: <function strposition_to_locate_sql>, <class 'sqlglot.expressions.StrToDate'>: <function _str_to_date_sql>, <class 'sqlglot.expressions.StrToTime'>: <function _str_to_time_sql>, <class 'sqlglot.expressions.StrToUnix'>: <function _str_to_unix_sql>, <class 'sqlglot.expressions.StructExtract'>: <function struct_extract_sql>, <class 'sqlglot.expressions.TimeStrToDate'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeStrToTime'>: <function timestrtotime_sql>, <class 'sqlglot.expressions.TimeStrToUnix'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TimeToStr'>: <function _time_to_str>, <class 'sqlglot.expressions.TimeToUnix'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.ToBase64'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TsOrDiToDi'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.TsOrDsToDate'>: <function _to_date_sql>, <class 'sqlglot.expressions.TryCast'>: <function no_trycast_sql>, <class 'sqlglot.expressions.UnixToStr'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.UnixToTime'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.UnixToTimeStr'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.PartitionedByProperty'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.SerdeProperties'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.NumberToStr'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.LastDateOfMonth'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.National'>: <function Hive.Generator.<lambda>>}
PROPERTIES_LOCATION = {<class 'sqlglot.expressions.AlgorithmProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.AutoIncrementProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.BlockCompressionProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.CharacterSetProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ChecksumProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.CollateProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.CopyGrantsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Cluster'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ClusteredByProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DataBlocksizeProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.DefinerProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.DictRange'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DictProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DistKeyProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.DistStyleProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.EngineProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ExecuteAsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.ExternalProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.FallbackProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.FileFormatProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.FreespaceProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.IsolatedLoadingProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.JournalProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.LanguageProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LikeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LocationProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.LockingProperty'>: <Location.POST_ALIAS: 'POST_ALIAS'>, <class 'sqlglot.expressions.LogProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.MaterializedProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.MergeBlockRatioProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.NoPrimaryIndexProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.OnCommitProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.Order'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.PartitionedByProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.PrimaryKey'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Property'>: <Location.POST_WITH: 'POST_WITH'>, <class 'sqlglot.expressions.ReturnsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.RowFormatProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.RowFormatDelimitedProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.RowFormatSerdeProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SchemaCommentProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SerdeProperties'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.Set'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SettingsProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SetProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.SortKeyProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.SqlSecurityProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.StabilityProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.TemporaryProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.ToTableProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.TransientProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.MergeTreeTTL'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.VolatileProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.WithDataProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.WithJournalTableProperty'>: <Location.POST_NAME: 'POST_NAME'>}
def rowformatserdeproperty_sql(self, expression: sqlglot.expressions.RowFormatSerdeProperty) -> str: View Source

    456        def rowformatserdeproperty_sql(self, expression: exp.RowFormatSerdeProperty) -> str:
    457            serde_props = self.sql(expression, "serde_properties")
    458            serde_props = f" {serde_props}" if serde_props else ""
    459            return f"ROW FORMAT SERDE {self.sql(expression, 'this')}{serde_props}"

def arrayagg_sql(self, expression: sqlglot.expressions.ArrayAgg) -> str: View Source

    461        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
    462            return self.func(
    463                "COLLECT_LIST",
    464                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
    465            )

def with_properties(self, properties: sqlglot.expressions.Properties) -> str: View Source

    467        def with_properties(self, properties: exp.Properties) -> str:
    468            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))

def datatype_sql(self, expression: sqlglot.expressions.DataType) -> str: View Source

    470        def datatype_sql(self, expression: exp.DataType) -> str:
    471            if (
    472                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
    473                and not expression.expressions
    474            ):
    475                expression = exp.DataType.build("text")
    476            elif expression.this in exp.DataType.TEMPORAL_TYPES:
    477                expression = exp.DataType.build(expression.this)
    478            elif expression.is_type("float"):
    479                size_expression = expression.find(exp.DataTypeSize)
    480                if size_expression:
    481                    size = int(size_expression.name)
    482                    expression = (
    483                        exp.DataType.build("float") if size <= 32 else exp.DataType.build("double")
    484                    )
    485
    486            return super().datatype_sql(expression)

SELECT_KINDS: Tuple[str, ...] = ()
INVERSE_TIME_MAPPING: Dict[str, str] = {'%Y': 'yyyy', '%y': 'yy', '%B': 'MMMM', '%b': 'MMM', '%m': 'MM', '%-m': 'M', '%d': 'dd', '%-d': 'd', '%H': 'HH', '%-H': 'H', '%I': 'hh', '%-I': 'h', '%M': 'mm', '%-M': 'm', '%S': 'ss', '%-S': 's', '%f': 'SSSSSS', '%p': 'a', '%j': 'DD', '%-j': 'D', '%a': 'EEE', '%A': 'EEEE'}
INVERSE_TIME_TRIE: Dict = {'%': {'Y': {0: True}, 'y': {0: True}, 'B': {0: True}, 'b': {0: True}, 'm': {0: True}, '-': {'m': {0: True}, 'd': {0: True}, 'H': {0: True}, 'I': {0: True}, 'M': {0: True}, 'S': {0: True}, 'j': {0: True}}, 'd': {0: True}, 'H': {0: True}, 'I': {0: True}, 'M': {0: True}, 'S': {0: True}, 'f': {0: True}, 'p': {0: True}, 'j': {0: True}, 'a': {0: True}, 'A': {0: True}}}
ALIAS_POST_TABLESAMPLE = True
IDENTIFIERS_CAN_START_WITH_DIGIT = True
@classmethod
def can_identify(text: str, identify: str | bool = 'safe') -> bool: View Source

    248    @classmethod
    249    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
    250        """Checks if text can be identified given an identify option.
    251
    252        Args:
    253            text: The text to check.
    254            identify:
    255                "always" or `True`: Always returns true.
    256                "safe": True if the identifier is case-insensitive.
    257
    258        Returns:
    259            Whether or not the given text can be identified.
    260        """
    261        if identify is True or identify == "always":
    262            return True
    263
    264        if identify == "safe":
    265            return not cls.case_sensitive(text)
    266
    267        return False

Checks if text can be identified given an identify option.

###### Arguments:

- text: The text to check.
- identify: "always" or `True`: Always returns true. "safe": True if the identifier is case-insensitive.

###### Returns:

> Whether or not the given text can be identified.

QUOTE_START = "'"
QUOTE_END = "'"
IDENTIFIER_START = '`'
IDENTIFIER_END = '`'
STRING_ESCAPE = '\\'
IDENTIFIER_ESCAPE = '"'
BIT_START: Optional[str] = None
BIT_END: Optional[str] = None
HEX_START: Optional[str] = None
HEX_END: Optional[str] = None
BYTE_START: Optional[str] = None
BYTE_END: Optional[str] = None

##### Inherited Members

sqlglot.generator.Generator
  Generator
  NULL_ORDERING_SUPPORTED
  LOCKING_READS_SUPPORTED
  EXPLICIT_UNION
  WRAP_DERIVED_VALUES
  CREATE_FUNCTION_RETURN_AS
  MATCHED_BY_SOURCE
  SINGLE_STRING_INTERVAL
  INTERVAL_ALLOWS_PLURAL_FORM
  RENAME_TABLE_WITH_DB
  GROUPINGS_SEP
  QUERY_HINT_SEP
  IS_BOOL_ALLOWED
  DUPLICATE_KEY_UPDATE_WITH_SET
  LIMIT_IS_TOP
  RETURNING_END
  COLUMN_JOIN_MARKS_SUPPORTED
  STAR_MAPPING
  TIME_PART_SINGULARS
  TOKEN_MAPPING
  STRUCT_DELIMITER
  PARAMETER_TOKEN
  RESERVED_KEYWORDS
  WITH_SEPARATED_COMMENTS
  UNWRAPPED_INTERVAL_VALUES
  SENTINEL_LINE_BREAK
  INDEX_OFFSET
  UNNEST_COLUMN_ONLY
  STRICT_STRING_CONCAT
  NORMALIZE_FUNCTIONS
  NULL_ORDERING
  ESCAPE_LINE_BREAK
  pretty
  identify
  normalize
  pad
  unsupported_level
  max_unsupported
  leading_comma
  max_text_width
  comments
  normalize_functions
  unsupported_messages
  generate
  unsupported
  sep
  seg
  pad_comment
  maybe_comment
  wrap
  no_identify
  normalize_func
  indent
  sql
  uncache_sql
  cache_sql
  characterset_sql
  column_sql
  columnposition_sql
  columndef_sql
  columnconstraint_sql
  autoincrementcolumnconstraint_sql
  compresscolumnconstraint_sql
  generatedasidentitycolumnconstraint_sql
  notnullcolumnconstraint_sql
  primarykeycolumnconstraint_sql
  uniquecolumnconstraint_sql
  createable_sql
  create_sql
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  datatypesize_sql
  directory_sql
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  inputoutputformat_sql
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  properties_sql
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  property_sql
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  glob_sql
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  binary
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  joinhint_sql
  kwarg_sql
  when_sql
  merge_sql
  tochar_sql
  dictproperty_sql
  dictrange_sql
  dictsubproperty_sql
  oncluster_sql
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  anyvalue_sql
  querytransform_sql