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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        PROPERTY_PARSERS = {
    276            **parser.Parser.PROPERTY_PARSERS,
    277            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
    278                expressions=self._parse_wrapped_csv(self._parse_property)
    279            ),
    280        }
    281
    282        def _parse_types(
    283            self, check_func: bool = False, schema: bool = False
    284        ) -> t.Optional[exp.Expression]:
    285            """
    286            Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to
    287            STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0:
    288
    289                spark-sql (default)> select cast(1234 as varchar(2));
    290                23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support
    291                char/varchar type and simply treats them as string type. Please use string type
    292                directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString
    293                to true, so that Spark treat them as string type as same as Spark 3.0 and earlier
    294
    295                1234
    296                Time taken: 4.265 seconds, Fetched 1 row(s)
    297
    298            This shows that Spark doesn't truncate the value into '12', which is inconsistent with
    299            what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly.
    300
    301            Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html
    302            """
    303            this = super()._parse_types(check_func=check_func, schema=schema)
    304
    305            if this and not schema:
    306                return this.transform(
    307                    lambda node: node.replace(exp.DataType.build("text"))
    308                    if isinstance(node, exp.DataType) and node.is_type("char", "varchar")
    309                    else node,
    310                    copy=False,
    311                )
    312
    313            return this
    314
    315    class Generator(generator.Generator):
    316        LIMIT_FETCH = "LIMIT"
    317        TABLESAMPLE_WITH_METHOD = False
    318        TABLESAMPLE_SIZE_IS_PERCENT = True
    319        JOIN_HINTS = False
    320        TABLE_HINTS = False
    321        QUERY_HINTS = False
    322        INDEX_ON = "ON TABLE"
    323
    324        TYPE_MAPPING = {
    325            **generator.Generator.TYPE_MAPPING,
    326            exp.DataType.Type.TEXT: "STRING",
    327            exp.DataType.Type.DATETIME: "TIMESTAMP",
    328            exp.DataType.Type.VARBINARY: "BINARY",
    329            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
    330            exp.DataType.Type.BIT: "BOOLEAN",
    331        }
    332
    333        TRANSFORMS = {
    334            **generator.Generator.TRANSFORMS,
    335            exp.Group: transforms.preprocess([transforms.unalias_group]),
    336            exp.Select: transforms.preprocess(
    337                [
    338                    transforms.eliminate_qualify,
    339                    transforms.eliminate_distinct_on,
    340                    transforms.unnest_to_explode,
    341                ]
    342            ),
    343            exp.Property: _property_sql,
    344            exp.ApproxDistinct: approx_count_distinct_sql,
    345            exp.ArrayConcat: rename_func("CONCAT"),
    346            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
    347            exp.ArraySize: rename_func("SIZE"),
    348            exp.ArraySort: _array_sort_sql,
    349            exp.With: no_recursive_cte_sql,
    350            exp.DateAdd: _add_date_sql,
    351            exp.DateDiff: _date_diff_sql,
    352            exp.DateStrToDate: rename_func("TO_DATE"),
    353            exp.DateSub: _add_date_sql,
    354            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)",
    355            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})",
    356            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
    357            exp.FromBase64: rename_func("UNBASE64"),
    358            exp.If: if_sql,
    359            exp.ILike: no_ilike_sql,
    360            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
    361            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
    362            exp.JSONFormat: _json_format_sql,
    363            exp.Left: left_to_substring_sql,
    364            exp.Map: var_map_sql,
    365            exp.Max: max_or_greatest,
    366            exp.MD5Digest: lambda self, e: self.func("UNHEX", self.func("MD5", e.this)),
    367            exp.Min: min_or_least,
    368            exp.MonthsBetween: lambda self, e: self.func("MONTHS_BETWEEN", e.this, e.expression),
    369            exp.VarMap: var_map_sql,
    370            exp.Create: create_with_partitions_sql,
    371            exp.Quantile: rename_func("PERCENTILE"),
    372            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
    373            exp.RegexpExtract: regexp_extract_sql,
    374            exp.RegexpReplace: regexp_replace_sql,
    375            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
    376            exp.RegexpSplit: rename_func("SPLIT"),
    377            exp.Right: right_to_substring_sql,
    378            exp.SafeDivide: no_safe_divide_sql,
    379            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
    380            exp.SetAgg: rename_func("COLLECT_SET"),
    381            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
    382            exp.StrPosition: strposition_to_locate_sql,
    383            exp.StrToDate: _str_to_date_sql,
    384            exp.StrToTime: _str_to_time_sql,
    385            exp.StrToUnix: _str_to_unix_sql,
    386            exp.StructExtract: struct_extract_sql,
    387            exp.TimeStrToDate: rename_func("TO_DATE"),
    388            exp.TimeStrToTime: timestrtotime_sql,
    389            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
    390            exp.TimeToStr: _time_to_str,
    391            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
    392            exp.ToBase64: rename_func("BASE64"),
    393            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
    394            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
    395            exp.TsOrDsToDate: _to_date_sql,
    396            exp.TryCast: no_trycast_sql,
    397            exp.UnixToStr: lambda self, e: self.func(
    398                "FROM_UNIXTIME", e.this, _time_format(self, e)
    399            ),
    400            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
    401            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
    402            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
    403            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
    404            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
    405            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
    406            exp.LastDateOfMonth: rename_func("LAST_DAY"),
    407            exp.National: lambda self, e: self.national_sql(e, prefix=""),
    408        }
    409
    410        PROPERTIES_LOCATION = {
    411            **generator.Generator.PROPERTIES_LOCATION,
    412            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
    413            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
    414            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
    415        }
    416
    417        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
    418            return self.func(
    419                "COLLECT_LIST",
    420                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
    421            )
    422
    423        def with_properties(self, properties: exp.Properties) -> str:
    424            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))
    425
    426        def datatype_sql(self, expression: exp.DataType) -> str:
    427            if (
    428                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
    429                and not expression.expressions
    430            ):
    431                expression = exp.DataType.build("text")
    432            elif expression.this in exp.DataType.TEMPORAL_TYPES:
    433                expression = exp.DataType.build(expression.this)
    434            elif expression.is_type("float"):
    435                size_expression = expression.find(exp.DataTypeSize)
    436                if size_expression:
    437                    size = int(size_expression.name)
    438                    expression = (
    439                        exp.DataType.build("float") if size <= 32 else exp.DataType.build("double")
    440                    )
    441
    442            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        PROPERTY_PARSERS = {
    277            **parser.Parser.PROPERTY_PARSERS,
    278            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
    279                expressions=self._parse_wrapped_csv(self._parse_property)
    280            ),
    281        }
    282
    283        def _parse_types(
    284            self, check_func: bool = False, schema: bool = False
    285        ) -> t.Optional[exp.Expression]:
    286            """
    287            Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to
    288            STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0:
    289
    290                spark-sql (default)> select cast(1234 as varchar(2));
    291                23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support
    292                char/varchar type and simply treats them as string type. Please use string type
    293                directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString
    294                to true, so that Spark treat them as string type as same as Spark 3.0 and earlier
    295
    296                1234
    297                Time taken: 4.265 seconds, Fetched 1 row(s)
    298
    299            This shows that Spark doesn't truncate the value into '12', which is inconsistent with
    300            what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly.
    301
    302            Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html
    303            """
    304            this = super()._parse_types(check_func=check_func, schema=schema)
    305
    306            if this and not schema:
    307                return this.transform(
    308                    lambda node: node.replace(exp.DataType.build("text"))
    309                    if isinstance(node, exp.DataType) and node.is_type("char", "varchar")
    310                    else node,
    311                    copy=False,
    312                )
    313
    314            return this
    315
    316    class Generator(generator.Generator):
    317        LIMIT_FETCH = "LIMIT"
    318        TABLESAMPLE_WITH_METHOD = False
    319        TABLESAMPLE_SIZE_IS_PERCENT = True
    320        JOIN_HINTS = False
    321        TABLE_HINTS = False
    322        QUERY_HINTS = False
    323        INDEX_ON = "ON TABLE"
    324
    325        TYPE_MAPPING = {
    326            **generator.Generator.TYPE_MAPPING,
    327            exp.DataType.Type.TEXT: "STRING",
    328            exp.DataType.Type.DATETIME: "TIMESTAMP",
    329            exp.DataType.Type.VARBINARY: "BINARY",
    330            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
    331            exp.DataType.Type.BIT: "BOOLEAN",
    332        }
    333
    334        TRANSFORMS = {
    335            **generator.Generator.TRANSFORMS,
    336            exp.Group: transforms.preprocess([transforms.unalias_group]),
    337            exp.Select: transforms.preprocess(
    338                [
    339                    transforms.eliminate_qualify,
    340                    transforms.eliminate_distinct_on,
    341                    transforms.unnest_to_explode,
    342                ]
    343            ),
    344            exp.Property: _property_sql,
    345            exp.ApproxDistinct: approx_count_distinct_sql,
    346            exp.ArrayConcat: rename_func("CONCAT"),
    347            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
    348            exp.ArraySize: rename_func("SIZE"),
    349            exp.ArraySort: _array_sort_sql,
    350            exp.With: no_recursive_cte_sql,
    351            exp.DateAdd: _add_date_sql,
    352            exp.DateDiff: _date_diff_sql,
    353            exp.DateStrToDate: rename_func("TO_DATE"),
    354            exp.DateSub: _add_date_sql,
    355            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)",
    356            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})",
    357            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
    358            exp.FromBase64: rename_func("UNBASE64"),
    359            exp.If: if_sql,
    360            exp.ILike: no_ilike_sql,
    361            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
    362            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
    363            exp.JSONFormat: _json_format_sql,
    364            exp.Left: left_to_substring_sql,
    365            exp.Map: var_map_sql,
    366            exp.Max: max_or_greatest,
    367            exp.MD5Digest: lambda self, e: self.func("UNHEX", self.func("MD5", e.this)),
    368            exp.Min: min_or_least,
    369            exp.MonthsBetween: lambda self, e: self.func("MONTHS_BETWEEN", e.this, e.expression),
    370            exp.VarMap: var_map_sql,
    371            exp.Create: create_with_partitions_sql,
    372            exp.Quantile: rename_func("PERCENTILE"),
    373            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
    374            exp.RegexpExtract: regexp_extract_sql,
    375            exp.RegexpReplace: regexp_replace_sql,
    376            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
    377            exp.RegexpSplit: rename_func("SPLIT"),
    378            exp.Right: right_to_substring_sql,
    379            exp.SafeDivide: no_safe_divide_sql,
    380            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
    381            exp.SetAgg: rename_func("COLLECT_SET"),
    382            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
    383            exp.StrPosition: strposition_to_locate_sql,
    384            exp.StrToDate: _str_to_date_sql,
    385            exp.StrToTime: _str_to_time_sql,
    386            exp.StrToUnix: _str_to_unix_sql,
    387            exp.StructExtract: struct_extract_sql,
    388            exp.TimeStrToDate: rename_func("TO_DATE"),
    389            exp.TimeStrToTime: timestrtotime_sql,
    390            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
    391            exp.TimeToStr: _time_to_str,
    392            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
    393            exp.ToBase64: rename_func("BASE64"),
    394            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
    395            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
    396            exp.TsOrDsToDate: _to_date_sql,
    397            exp.TryCast: no_trycast_sql,
    398            exp.UnixToStr: lambda self, e: self.func(
    399                "FROM_UNIXTIME", e.this, _time_format(self, e)
    400            ),
    401            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
    402            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
    403            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
    404            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
    405            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
    406            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
    407            exp.LastDateOfMonth: rename_func("LAST_DAY"),
    408            exp.National: lambda self, e: self.national_sql(e, prefix=""),
    409        }
    410
    411        PROPERTIES_LOCATION = {
    412            **generator.Generator.PROPERTIES_LOCATION,
    413            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
    414            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
    415            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
    416        }
    417
    418        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
    419            return self.func(
    420                "COLLECT_LIST",
    421                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
    422            )
    423
    424        def with_properties(self, properties: exp.Properties) -> str:
    425            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))
    426
    427        def datatype_sql(self, expression: exp.DataType) -> str:
    428            if (
    429                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
    430                and not expression.expressions
    431            ):
    432                expression = exp.DataType.build("text")
    433            elif expression.this in exp.DataType.TEMPORAL_TYPES:
    434                expression = exp.DataType.build(expression.this)
    435            elif expression.is_type("float"):
    436                size_expression = expression.find(exp.DataTypeSize)
    437                if size_expression:
    438                    size = int(size_expression.name)
    439                    expression = (
    440                        exp.DataType.build("float") if size <= 32 else exp.DataType.build("double")
    441                    )
    442
    443            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        PROPERTY_PARSERS = {
    277            **parser.Parser.PROPERTY_PARSERS,
    278            "WITH SERDEPROPERTIES": lambda self: exp.SerdeProperties(
    279                expressions=self._parse_wrapped_csv(self._parse_property)
    280            ),
    281        }
    282
    283        def _parse_types(
    284            self, check_func: bool = False, schema: bool = False
    285        ) -> t.Optional[exp.Expression]:
    286            """
    287            Spark (and most likely Hive) treats casts to CHAR(length) and VARCHAR(length) as casts to
    288            STRING in all contexts except for schema definitions. For example, this is in Spark v3.4.0:
    289
    290                spark-sql (default)> select cast(1234 as varchar(2));
    291                23/06/06 15:51:18 WARN CharVarcharUtils: The Spark cast operator does not support
    292                char/varchar type and simply treats them as string type. Please use string type
    293                directly to avoid confusion. Otherwise, you can set spark.sql.legacy.charVarcharAsString
    294                to true, so that Spark treat them as string type as same as Spark 3.0 and earlier
    295
    296                1234
    297                Time taken: 4.265 seconds, Fetched 1 row(s)
    298
    299            This shows that Spark doesn't truncate the value into '12', which is inconsistent with
    300            what other dialects (e.g. postgres) do, so we need to drop the length to transpile correctly.
    301
    302            Reference: https://spark.apache.org/docs/latest/sql-ref-datatypes.html
    303            """
    304            this = super()._parse_types(check_func=check_func, schema=schema)
    305
    306            if this and not schema:
    307                return this.transform(
    308                    lambda node: node.replace(exp.DataType.build("text"))
    309                    if isinstance(node, exp.DataType) and node.is_type("char", "varchar")
    310                    else node,
    311                    copy=False,
    312                )
    313
    314            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'>>, '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'>>, '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>}
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
  FUNCTION_PARSERS
  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

    316    class Generator(generator.Generator):
    317        LIMIT_FETCH = "LIMIT"
    318        TABLESAMPLE_WITH_METHOD = False
    319        TABLESAMPLE_SIZE_IS_PERCENT = True
    320        JOIN_HINTS = False
    321        TABLE_HINTS = False
    322        QUERY_HINTS = False
    323        INDEX_ON = "ON TABLE"
    324
    325        TYPE_MAPPING = {
    326            **generator.Generator.TYPE_MAPPING,
    327            exp.DataType.Type.TEXT: "STRING",
    328            exp.DataType.Type.DATETIME: "TIMESTAMP",
    329            exp.DataType.Type.VARBINARY: "BINARY",
    330            exp.DataType.Type.TIMESTAMPTZ: "TIMESTAMP",
    331            exp.DataType.Type.BIT: "BOOLEAN",
    332        }
    333
    334        TRANSFORMS = {
    335            **generator.Generator.TRANSFORMS,
    336            exp.Group: transforms.preprocess([transforms.unalias_group]),
    337            exp.Select: transforms.preprocess(
    338                [
    339                    transforms.eliminate_qualify,
    340                    transforms.eliminate_distinct_on,
    341                    transforms.unnest_to_explode,
    342                ]
    343            ),
    344            exp.Property: _property_sql,
    345            exp.ApproxDistinct: approx_count_distinct_sql,
    346            exp.ArrayConcat: rename_func("CONCAT"),
    347            exp.ArrayJoin: lambda self, e: self.func("CONCAT_WS", e.expression, e.this),
    348            exp.ArraySize: rename_func("SIZE"),
    349            exp.ArraySort: _array_sort_sql,
    350            exp.With: no_recursive_cte_sql,
    351            exp.DateAdd: _add_date_sql,
    352            exp.DateDiff: _date_diff_sql,
    353            exp.DateStrToDate: rename_func("TO_DATE"),
    354            exp.DateSub: _add_date_sql,
    355            exp.DateToDi: lambda self, e: f"CAST(DATE_FORMAT({self.sql(e, 'this')}, {Hive.DATEINT_FORMAT}) AS INT)",
    356            exp.DiToDate: lambda self, e: f"TO_DATE(CAST({self.sql(e, 'this')} AS STRING), {Hive.DATEINT_FORMAT})",
    357            exp.FileFormatProperty: lambda self, e: f"STORED AS {self.sql(e, 'this') if isinstance(e.this, exp.InputOutputFormat) else e.name.upper()}",
    358            exp.FromBase64: rename_func("UNBASE64"),
    359            exp.If: if_sql,
    360            exp.ILike: no_ilike_sql,
    361            exp.JSONExtract: rename_func("GET_JSON_OBJECT"),
    362            exp.JSONExtractScalar: rename_func("GET_JSON_OBJECT"),
    363            exp.JSONFormat: _json_format_sql,
    364            exp.Left: left_to_substring_sql,
    365            exp.Map: var_map_sql,
    366            exp.Max: max_or_greatest,
    367            exp.MD5Digest: lambda self, e: self.func("UNHEX", self.func("MD5", e.this)),
    368            exp.Min: min_or_least,
    369            exp.MonthsBetween: lambda self, e: self.func("MONTHS_BETWEEN", e.this, e.expression),
    370            exp.VarMap: var_map_sql,
    371            exp.Create: create_with_partitions_sql,
    372            exp.Quantile: rename_func("PERCENTILE"),
    373            exp.ApproxQuantile: rename_func("PERCENTILE_APPROX"),
    374            exp.RegexpExtract: regexp_extract_sql,
    375            exp.RegexpReplace: regexp_replace_sql,
    376            exp.RegexpLike: lambda self, e: self.binary(e, "RLIKE"),
    377            exp.RegexpSplit: rename_func("SPLIT"),
    378            exp.Right: right_to_substring_sql,
    379            exp.SafeDivide: no_safe_divide_sql,
    380            exp.SchemaCommentProperty: lambda self, e: self.naked_property(e),
    381            exp.SetAgg: rename_func("COLLECT_SET"),
    382            exp.Split: lambda self, e: f"SPLIT({self.sql(e, 'this')}, CONCAT('\\\\Q', {self.sql(e, 'expression')}))",
    383            exp.StrPosition: strposition_to_locate_sql,
    384            exp.StrToDate: _str_to_date_sql,
    385            exp.StrToTime: _str_to_time_sql,
    386            exp.StrToUnix: _str_to_unix_sql,
    387            exp.StructExtract: struct_extract_sql,
    388            exp.TimeStrToDate: rename_func("TO_DATE"),
    389            exp.TimeStrToTime: timestrtotime_sql,
    390            exp.TimeStrToUnix: rename_func("UNIX_TIMESTAMP"),
    391            exp.TimeToStr: _time_to_str,
    392            exp.TimeToUnix: rename_func("UNIX_TIMESTAMP"),
    393            exp.ToBase64: rename_func("BASE64"),
    394            exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS STRING), '-', ''), 1, 8) AS INT)",
    395            exp.TsOrDsAdd: lambda self, e: f"DATE_ADD({self.sql(e, 'this')}, {self.sql(e, 'expression')})",
    396            exp.TsOrDsToDate: _to_date_sql,
    397            exp.TryCast: no_trycast_sql,
    398            exp.UnixToStr: lambda self, e: self.func(
    399                "FROM_UNIXTIME", e.this, _time_format(self, e)
    400            ),
    401            exp.UnixToTime: rename_func("FROM_UNIXTIME"),
    402            exp.UnixToTimeStr: rename_func("FROM_UNIXTIME"),
    403            exp.PartitionedByProperty: lambda self, e: f"PARTITIONED BY {self.sql(e, 'this')}",
    404            exp.RowFormatSerdeProperty: lambda self, e: f"ROW FORMAT SERDE {self.sql(e, 'this')}",
    405            exp.SerdeProperties: lambda self, e: self.properties(e, prefix="WITH SERDEPROPERTIES"),
    406            exp.NumberToStr: rename_func("FORMAT_NUMBER"),
    407            exp.LastDateOfMonth: rename_func("LAST_DAY"),
    408            exp.National: lambda self, e: self.national_sql(e, prefix=""),
    409        }
    410
    411        PROPERTIES_LOCATION = {
    412            **generator.Generator.PROPERTIES_LOCATION,
    413            exp.FileFormatProperty: exp.Properties.Location.POST_SCHEMA,
    414            exp.PartitionedByProperty: exp.Properties.Location.POST_SCHEMA,
    415            exp.VolatileProperty: exp.Properties.Location.UNSUPPORTED,
    416        }
    417
    418        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
    419            return self.func(
    420                "COLLECT_LIST",
    421                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
    422            )
    423
    424        def with_properties(self, properties: exp.Properties) -> str:
    425            return self.properties(properties, prefix=self.seg("TBLPROPERTIES"))
    426
    427        def datatype_sql(self, expression: exp.DataType) -> str:
    428            if (
    429                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
    430                and not expression.expressions
    431            ):
    432                expression = exp.DataType.build("text")
    433            elif expression.this in exp.DataType.TEMPORAL_TYPES:
    434                expression = exp.DataType.build(expression.this)
    435            elif expression.is_type("float"):
    436                size_expression = expression.find(exp.DataTypeSize)
    437                if size_expression:
    438                    size = int(size_expression.name)
    439                    expression = (
    440                        exp.DataType.build("float") if size <= 32 else exp.DataType.build("double")
    441                    )
    442
    443            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.RowFormatSerdeProperty'>: <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 arrayagg_sql(self, expression: sqlglot.expressions.ArrayAgg) -> str: View Source

    418        def arrayagg_sql(self, expression: exp.ArrayAgg) -> str:
    419            return self.func(
    420                "COLLECT_LIST",
    421                expression.this.this if isinstance(expression.this, exp.Order) else expression.this,
    422            )

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

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

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

    427        def datatype_sql(self, expression: exp.DataType) -> str:
    428            if (
    429                expression.this in (exp.DataType.Type.VARCHAR, exp.DataType.Type.NVARCHAR)
    430                and not expression.expressions
    431            ):
    432                expression = exp.DataType.build("text")
    433            elif expression.this in exp.DataType.TEMPORAL_TYPES:
    434                expression = exp.DataType.build(expression.this)
    435            elif expression.is_type("float"):
    436                size_expression = expression.find(exp.DataTypeSize)
    437                if size_expression:
    438                    size = int(size_expression.name)
    439                    expression = (
    440                        exp.DataType.build("float") if size <= 32 else exp.DataType.build("double")
    441                    )
    442
    443            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

    246    @classmethod
    247    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
    248        """Checks if text can be identified given an identify option.
    249
    250        Args:
    251            text: The text to check.
    252            identify:
    253                "always" or `True`: Always returns true.
    254                "safe": True if the identifier is case-insensitive.
    255
    256        Returns:
    257            Whether or not the given text can be identified.
    258        """
    259        if identify is True or identify == "always":
    260            return True
    261
    262        if identify == "safe":
    263            return not cls.case_sensitive(text)
    264
    265        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
  clone_sql
  describe_sql
  prepend_ctes
  with_sql
  cte_sql
  tablealias_sql
  bitstring_sql
  hexstring_sql
  bytestring_sql
  rawstring_sql
  datatypesize_sql
  directory_sql
  delete_sql
  drop_sql
  except_sql
  except_op
  fetch_sql
  filter_sql
  hint_sql
  index_sql
  identifier_sql
  inputoutputformat_sql
  national_sql
  partition_sql
  properties_sql
  root_properties
  properties
  locate_properties
  property_sql
  likeproperty_sql
  fallbackproperty_sql
  journalproperty_sql
  freespaceproperty_sql
  checksumproperty_sql
  mergeblockratioproperty_sql
  datablocksizeproperty_sql
  blockcompressionproperty_sql
  isolatedloadingproperty_sql
  lockingproperty_sql
  withdataproperty_sql
  insert_sql
  intersect_sql
  intersect_op
  introducer_sql
  pseudotype_sql
  onconflict_sql
  returning_sql
  rowformatdelimitedproperty_sql
  withtablehint_sql
  indextablehint_sql
  table_sql
  tablesample_sql
  pivot_sql
  tuple_sql
  update_sql
  values_sql
  var_sql
  into_sql
  from_sql
  group_sql
  having_sql
  join_sql
  lambda_sql
  lateral_sql
  limit_sql
  offset_sql
  setitem_sql
  set_sql
  pragma_sql
  lock_sql
  literal_sql
  escape_str
  loaddata_sql
  null_sql
  boolean_sql
  order_sql
  cluster_sql
  distribute_sql
  sort_sql
  ordered_sql
  matchrecognize_sql
  query_modifiers
  offset_limit_modifiers
  after_having_modifiers
  after_limit_modifiers
  select_sql
  schema_sql
  schema_columns_sql
  star_sql
  parameter_sql
  sessionparameter_sql
  placeholder_sql
  subquery_sql
  qualify_sql
  union_sql
  union_op
  unnest_sql
  where_sql
  window_sql
  partition_by_sql
  windowspec_sql
  withingroup_sql
  between_sql
  bracket_sql
  safebracket_sql
  all_sql
  any_sql
  exists_sql
  case_sql
  constraint_sql
  nextvaluefor_sql
  extract_sql
  trim_sql
  safeconcat_sql
  check_sql
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  if_sql
  matchagainst_sql
  jsonkeyvalue_sql
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  openjson_sql
  in_sql
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  interval_sql
  return_sql
  reference_sql
  anonymous_sql
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  neg_sql
  not_sql
  alias_sql
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  attimezone_sql
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  connector_sql
  bitwiseand_sql
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  cast_sql
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  tag_sql
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  dictproperty_sql
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  oncluster_sql
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  anyvalue_sql