sqlglot.dialects.spark2 API documentation

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# sqlglot.dialects.spark2

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      1from __future__ import annotations
      2
      3import typing as t
      4
      5from sqlglot import exp, transforms
      6from sqlglot.dialects.dialect import (
      7    binary_from_function,
      8    create_with_partitions_sql,
      9    format_time_lambda,
     10    pivot_column_names,
     11    rename_func,
     12    trim_sql,
     13)
     14from sqlglot.dialects.hive import Hive
     15from sqlglot.helper import seq_get
     16
     17
     18def _create_sql(self: Spark2.Generator, e: exp.Create) -> str:
     19    kind = e.args["kind"]
     20    properties = e.args.get("properties")
     21
     22    if (
     23        kind.upper() == "TABLE"
     24        and e.expression
     25        and any(
     26            isinstance(prop, exp.TemporaryProperty)
     27            for prop in (properties.expressions if properties else [])
     28        )
     29    ):
     30        return f"CREATE TEMPORARY VIEW {self.sql(e, 'this')} AS {self.sql(e, 'expression')}"
     31    return create_with_partitions_sql(self, e)
     32
     33
     34def _map_sql(self: Spark2.Generator, expression: exp.Map) -> str:
     35    keys = expression.args.get("keys")
     36    values = expression.args.get("values")
     37
     38    if not keys or not values:
     39        return "MAP()"
     40
     41    return f"MAP_FROM_ARRAYS({self.sql(keys)}, {self.sql(values)})"
     42
     43
     44def _parse_as_cast(to_type: str) -> t.Callable[[t.List], exp.Expression]:
     45    return lambda args: exp.Cast(this=seq_get(args, 0), to=exp.DataType.build(to_type))
     46
     47
     48def _str_to_date(self: Spark2.Generator, expression: exp.StrToDate) -> str:
     49    this = self.sql(expression, "this")
     50    time_format = self.format_time(expression)
     51    if time_format == Hive.DATE_FORMAT:
     52        return f"TO_DATE({this})"
     53    return f"TO_DATE({this}, {time_format})"
     54
     55
     56def _unix_to_time_sql(self: Spark2.Generator, expression: exp.UnixToTime) -> str:
     57    scale = expression.args.get("scale")
     58    timestamp = self.sql(expression, "this")
     59    if scale is None:
     60        return f"CAST(FROM_UNIXTIME({timestamp}) AS TIMESTAMP)"
     61    if scale == exp.UnixToTime.SECONDS:
     62        return f"TIMESTAMP_SECONDS({timestamp})"
     63    if scale == exp.UnixToTime.MILLIS:
     64        return f"TIMESTAMP_MILLIS({timestamp})"
     65    if scale == exp.UnixToTime.MICROS:
     66        return f"TIMESTAMP_MICROS({timestamp})"
     67
     68    raise ValueError("Improper scale for timestamp")
     69
     70
     71def _unalias_pivot(expression: exp.Expression) -> exp.Expression:
     72    """
     73    Spark doesn't allow PIVOT aliases, so we need to remove them and possibly wrap a
     74    pivoted source in a subquery with the same alias to preserve the query's semantics.
     75
     76    Example:
     77        >>> from sqlglot import parse_one
     78        >>> expr = parse_one("SELECT piv.x FROM tbl PIVOT (SUM(a) FOR b IN ('x')) piv")
     79        >>> print(_unalias_pivot(expr).sql(dialect="spark"))
     80        SELECT piv.x FROM (SELECT * FROM tbl PIVOT(SUM(a) FOR b IN ('x'))) AS piv
     81    """
     82    if isinstance(expression, exp.From) and expression.this.args.get("pivots"):
     83        pivot = expression.this.args["pivots"][0]
     84        if pivot.alias:
     85            alias = pivot.args["alias"].pop()
     86            return exp.From(
     87                this=expression.this.replace(
     88                    exp.select("*").from_(expression.this.copy()).subquery(alias=alias)
     89                )
     90            )
     91
     92    return expression
     93
     94
     95def _unqualify_pivot_columns(expression: exp.Expression) -> exp.Expression:
     96    """
     97    Spark doesn't allow the column referenced in the PIVOT's field to be qualified,
     98    so we need to unqualify it.
     99
    100    Example:
    101        >>> from sqlglot import parse_one
    102        >>> expr = parse_one("SELECT * FROM tbl PIVOT (SUM(tbl.sales) FOR tbl.quarter IN ('Q1', 'Q2'))")
    103        >>> print(_unqualify_pivot_columns(expr).sql(dialect="spark"))
    104        SELECT * FROM tbl PIVOT(SUM(tbl.sales) FOR quarter IN ('Q1', 'Q1'))
    105    """
    106    if isinstance(expression, exp.Pivot):
    107        expression.args["field"].transform(
    108            lambda node: exp.column(node.output_name, quoted=node.this.quoted)
    109            if isinstance(node, exp.Column)
    110            else node,
    111            copy=False,
    112        )
    113
    114    return expression
    115
    116
    117def _insert_sql(self: Spark2.Generator, expression: exp.Insert) -> str:
    118    if expression.expression.args.get("with"):
    119        expression = expression.copy()
    120        expression.set("with", expression.expression.args.pop("with"))
    121    return self.insert_sql(expression)
    122
    123
    124class Spark2(Hive):
    125    class Parser(Hive.Parser):
    126        FUNCTIONS = {
    127            **Hive.Parser.FUNCTIONS,
    128            "AGGREGATE": exp.Reduce.from_arg_list,
    129            "APPROX_PERCENTILE": exp.ApproxQuantile.from_arg_list,
    130            "BOOLEAN": _parse_as_cast("boolean"),
    131            "DATE": _parse_as_cast("date"),
    132            "DATE_TRUNC": lambda args: exp.TimestampTrunc(
    133                this=seq_get(args, 1), unit=exp.var(seq_get(args, 0))
    134            ),
    135            "DAYOFMONTH": lambda args: exp.DayOfMonth(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    136            "DAYOFWEEK": lambda args: exp.DayOfWeek(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    137            "DAYOFYEAR": lambda args: exp.DayOfYear(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    138            "DOUBLE": _parse_as_cast("double"),
    139            "FLOAT": _parse_as_cast("float"),
    140            "IIF": exp.If.from_arg_list,
    141            "INT": _parse_as_cast("int"),
    142            "MAP_FROM_ARRAYS": exp.Map.from_arg_list,
    143            "RLIKE": exp.RegexpLike.from_arg_list,
    144            "SHIFTLEFT": binary_from_function(exp.BitwiseLeftShift),
    145            "SHIFTRIGHT": binary_from_function(exp.BitwiseRightShift),
    146            "STRING": _parse_as_cast("string"),
    147            "TIMESTAMP": _parse_as_cast("timestamp"),
    148            "TO_TIMESTAMP": lambda args: _parse_as_cast("timestamp")(args)
    149            if len(args) == 1
    150            else format_time_lambda(exp.StrToTime, "spark")(args),
    151            "TO_UNIX_TIMESTAMP": exp.StrToUnix.from_arg_list,
    152            "TRUNC": lambda args: exp.DateTrunc(unit=seq_get(args, 1), this=seq_get(args, 0)),
    153            "WEEKOFYEAR": lambda args: exp.WeekOfYear(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    154        }
    155
    156        FUNCTION_PARSERS = {
    157            **Hive.Parser.FUNCTION_PARSERS,
    158            "BROADCAST": lambda self: self._parse_join_hint("BROADCAST"),
    159            "BROADCASTJOIN": lambda self: self._parse_join_hint("BROADCASTJOIN"),
    160            "MAPJOIN": lambda self: self._parse_join_hint("MAPJOIN"),
    161            "MERGE": lambda self: self._parse_join_hint("MERGE"),
    162            "SHUFFLEMERGE": lambda self: self._parse_join_hint("SHUFFLEMERGE"),
    163            "MERGEJOIN": lambda self: self._parse_join_hint("MERGEJOIN"),
    164            "SHUFFLE_HASH": lambda self: self._parse_join_hint("SHUFFLE_HASH"),
    165            "SHUFFLE_REPLICATE_NL": lambda self: self._parse_join_hint("SHUFFLE_REPLICATE_NL"),
    166        }
    167
    168        def _parse_add_column(self) -> t.Optional[exp.Expression]:
    169            return self._match_text_seq("ADD", "COLUMNS") and self._parse_schema()
    170
    171        def _parse_drop_column(self) -> t.Optional[exp.Drop | exp.Command]:
    172            return self._match_text_seq("DROP", "COLUMNS") and self.expression(
    173                exp.Drop, this=self._parse_schema(), kind="COLUMNS"
    174            )
    175
    176        def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
    177            if len(aggregations) == 1:
    178                return [""]
    179            return pivot_column_names(aggregations, dialect="spark")
    180
    181    class Generator(Hive.Generator):
    182        QUERY_HINTS = True
    183        NVL2_SUPPORTED = True
    184
    185        PROPERTIES_LOCATION = {
    186            **Hive.Generator.PROPERTIES_LOCATION,
    187            exp.EngineProperty: exp.Properties.Location.UNSUPPORTED,
    188            exp.AutoIncrementProperty: exp.Properties.Location.UNSUPPORTED,
    189            exp.CharacterSetProperty: exp.Properties.Location.UNSUPPORTED,
    190            exp.CollateProperty: exp.Properties.Location.UNSUPPORTED,
    191        }
    192
    193        TRANSFORMS = {
    194            **Hive.Generator.TRANSFORMS,
    195            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
    196            exp.ArraySum: lambda self, e: f"AGGREGATE({self.sql(e, 'this')}, 0, (acc, x) -> acc + x, acc -> acc)",
    197            exp.AtTimeZone: lambda self, e: f"FROM_UTC_TIMESTAMP({self.sql(e, 'this')}, {self.sql(e, 'zone')})",
    198            exp.BitwiseLeftShift: rename_func("SHIFTLEFT"),
    199            exp.BitwiseRightShift: rename_func("SHIFTRIGHT"),
    200            exp.Create: _create_sql,
    201            exp.DateFromParts: rename_func("MAKE_DATE"),
    202            exp.DateTrunc: lambda self, e: self.func("TRUNC", e.this, e.args.get("unit")),
    203            exp.DayOfMonth: rename_func("DAYOFMONTH"),
    204            exp.DayOfWeek: rename_func("DAYOFWEEK"),
    205            exp.DayOfYear: rename_func("DAYOFYEAR"),
    206            exp.FileFormatProperty: lambda self, e: f"USING {e.name.upper()}",
    207            exp.From: transforms.preprocess([_unalias_pivot]),
    208            exp.Insert: _insert_sql,
    209            exp.LogicalAnd: rename_func("BOOL_AND"),
    210            exp.LogicalOr: rename_func("BOOL_OR"),
    211            exp.Map: _map_sql,
    212            exp.Pivot: transforms.preprocess([_unqualify_pivot_columns]),
    213            exp.Reduce: rename_func("AGGREGATE"),
    214            exp.RegexpReplace: lambda self, e: self.func(
    215                "REGEXP_REPLACE",
    216                e.this,
    217                e.expression,
    218                e.args["replacement"],
    219                e.args.get("position"),
    220            ),
    221            exp.StrToDate: _str_to_date,
    222            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    223            exp.TimestampTrunc: lambda self, e: self.func(
    224                "DATE_TRUNC", exp.Literal.string(e.text("unit")), e.this
    225            ),
    226            exp.Trim: trim_sql,
    227            exp.UnixToTime: _unix_to_time_sql,
    228            exp.VariancePop: rename_func("VAR_POP"),
    229            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
    230            exp.WithinGroup: transforms.preprocess(
    231                [transforms.remove_within_group_for_percentiles]
    232            ),
    233        }
    234        TRANSFORMS.pop(exp.ArrayJoin)
    235        TRANSFORMS.pop(exp.ArraySort)
    236        TRANSFORMS.pop(exp.ILike)
    237        TRANSFORMS.pop(exp.Left)
    238        TRANSFORMS.pop(exp.MonthsBetween)
    239        TRANSFORMS.pop(exp.Right)
    240
    241        WRAP_DERIVED_VALUES = False
    242        CREATE_FUNCTION_RETURN_AS = False
    243
    244        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
    245            if isinstance(expression.this, exp.Cast) and expression.this.is_type("json"):
    246                schema = f"'{self.sql(expression, 'to')}'"
    247                return self.func("FROM_JSON", expression.this.this, schema)
    248            if expression.is_type("json"):
    249                return self.func("TO_JSON", expression.this)
    250
    251            return super(Hive.Generator, self).cast_sql(expression, safe_prefix=safe_prefix)
    252
    253        def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
    254            return super().columndef_sql(
    255                expression,
    256                sep=": "
    257                if isinstance(expression.parent, exp.DataType)
    258                and expression.parent.is_type("struct")
    259                else sep,
    260            )
    261
    262    class Tokenizer(Hive.Tokenizer):
    263        HEX_STRINGS = [("X'", "'")]

class Spark2(sqlglot.dialects.hive.Hive): View Source

    125class Spark2(Hive):
    126    class Parser(Hive.Parser):
    127        FUNCTIONS = {
    128            **Hive.Parser.FUNCTIONS,
    129            "AGGREGATE": exp.Reduce.from_arg_list,
    130            "APPROX_PERCENTILE": exp.ApproxQuantile.from_arg_list,
    131            "BOOLEAN": _parse_as_cast("boolean"),
    132            "DATE": _parse_as_cast("date"),
    133            "DATE_TRUNC": lambda args: exp.TimestampTrunc(
    134                this=seq_get(args, 1), unit=exp.var(seq_get(args, 0))
    135            ),
    136            "DAYOFMONTH": lambda args: exp.DayOfMonth(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    137            "DAYOFWEEK": lambda args: exp.DayOfWeek(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    138            "DAYOFYEAR": lambda args: exp.DayOfYear(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    139            "DOUBLE": _parse_as_cast("double"),
    140            "FLOAT": _parse_as_cast("float"),
    141            "IIF": exp.If.from_arg_list,
    142            "INT": _parse_as_cast("int"),
    143            "MAP_FROM_ARRAYS": exp.Map.from_arg_list,
    144            "RLIKE": exp.RegexpLike.from_arg_list,
    145            "SHIFTLEFT": binary_from_function(exp.BitwiseLeftShift),
    146            "SHIFTRIGHT": binary_from_function(exp.BitwiseRightShift),
    147            "STRING": _parse_as_cast("string"),
    148            "TIMESTAMP": _parse_as_cast("timestamp"),
    149            "TO_TIMESTAMP": lambda args: _parse_as_cast("timestamp")(args)
    150            if len(args) == 1
    151            else format_time_lambda(exp.StrToTime, "spark")(args),
    152            "TO_UNIX_TIMESTAMP": exp.StrToUnix.from_arg_list,
    153            "TRUNC": lambda args: exp.DateTrunc(unit=seq_get(args, 1), this=seq_get(args, 0)),
    154            "WEEKOFYEAR": lambda args: exp.WeekOfYear(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    155        }
    156
    157        FUNCTION_PARSERS = {
    158            **Hive.Parser.FUNCTION_PARSERS,
    159            "BROADCAST": lambda self: self._parse_join_hint("BROADCAST"),
    160            "BROADCASTJOIN": lambda self: self._parse_join_hint("BROADCASTJOIN"),
    161            "MAPJOIN": lambda self: self._parse_join_hint("MAPJOIN"),
    162            "MERGE": lambda self: self._parse_join_hint("MERGE"),
    163            "SHUFFLEMERGE": lambda self: self._parse_join_hint("SHUFFLEMERGE"),
    164            "MERGEJOIN": lambda self: self._parse_join_hint("MERGEJOIN"),
    165            "SHUFFLE_HASH": lambda self: self._parse_join_hint("SHUFFLE_HASH"),
    166            "SHUFFLE_REPLICATE_NL": lambda self: self._parse_join_hint("SHUFFLE_REPLICATE_NL"),
    167        }
    168
    169        def _parse_add_column(self) -> t.Optional[exp.Expression]:
    170            return self._match_text_seq("ADD", "COLUMNS") and self._parse_schema()
    171
    172        def _parse_drop_column(self) -> t.Optional[exp.Drop | exp.Command]:
    173            return self._match_text_seq("DROP", "COLUMNS") and self.expression(
    174                exp.Drop, this=self._parse_schema(), kind="COLUMNS"
    175            )
    176
    177        def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
    178            if len(aggregations) == 1:
    179                return [""]
    180            return pivot_column_names(aggregations, dialect="spark")
    181
    182    class Generator(Hive.Generator):
    183        QUERY_HINTS = True
    184        NVL2_SUPPORTED = True
    185
    186        PROPERTIES_LOCATION = {
    187            **Hive.Generator.PROPERTIES_LOCATION,
    188            exp.EngineProperty: exp.Properties.Location.UNSUPPORTED,
    189            exp.AutoIncrementProperty: exp.Properties.Location.UNSUPPORTED,
    190            exp.CharacterSetProperty: exp.Properties.Location.UNSUPPORTED,
    191            exp.CollateProperty: exp.Properties.Location.UNSUPPORTED,
    192        }
    193
    194        TRANSFORMS = {
    195            **Hive.Generator.TRANSFORMS,
    196            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
    197            exp.ArraySum: lambda self, e: f"AGGREGATE({self.sql(e, 'this')}, 0, (acc, x) -> acc + x, acc -> acc)",
    198            exp.AtTimeZone: lambda self, e: f"FROM_UTC_TIMESTAMP({self.sql(e, 'this')}, {self.sql(e, 'zone')})",
    199            exp.BitwiseLeftShift: rename_func("SHIFTLEFT"),
    200            exp.BitwiseRightShift: rename_func("SHIFTRIGHT"),
    201            exp.Create: _create_sql,
    202            exp.DateFromParts: rename_func("MAKE_DATE"),
    203            exp.DateTrunc: lambda self, e: self.func("TRUNC", e.this, e.args.get("unit")),
    204            exp.DayOfMonth: rename_func("DAYOFMONTH"),
    205            exp.DayOfWeek: rename_func("DAYOFWEEK"),
    206            exp.DayOfYear: rename_func("DAYOFYEAR"),
    207            exp.FileFormatProperty: lambda self, e: f"USING {e.name.upper()}",
    208            exp.From: transforms.preprocess([_unalias_pivot]),
    209            exp.Insert: _insert_sql,
    210            exp.LogicalAnd: rename_func("BOOL_AND"),
    211            exp.LogicalOr: rename_func("BOOL_OR"),
    212            exp.Map: _map_sql,
    213            exp.Pivot: transforms.preprocess([_unqualify_pivot_columns]),
    214            exp.Reduce: rename_func("AGGREGATE"),
    215            exp.RegexpReplace: lambda self, e: self.func(
    216                "REGEXP_REPLACE",
    217                e.this,
    218                e.expression,
    219                e.args["replacement"],
    220                e.args.get("position"),
    221            ),
    222            exp.StrToDate: _str_to_date,
    223            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    224            exp.TimestampTrunc: lambda self, e: self.func(
    225                "DATE_TRUNC", exp.Literal.string(e.text("unit")), e.this
    226            ),
    227            exp.Trim: trim_sql,
    228            exp.UnixToTime: _unix_to_time_sql,
    229            exp.VariancePop: rename_func("VAR_POP"),
    230            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
    231            exp.WithinGroup: transforms.preprocess(
    232                [transforms.remove_within_group_for_percentiles]
    233            ),
    234        }
    235        TRANSFORMS.pop(exp.ArrayJoin)
    236        TRANSFORMS.pop(exp.ArraySort)
    237        TRANSFORMS.pop(exp.ILike)
    238        TRANSFORMS.pop(exp.Left)
    239        TRANSFORMS.pop(exp.MonthsBetween)
    240        TRANSFORMS.pop(exp.Right)
    241
    242        WRAP_DERIVED_VALUES = False
    243        CREATE_FUNCTION_RETURN_AS = False
    244
    245        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
    246            if isinstance(expression.this, exp.Cast) and expression.this.is_type("json"):
    247                schema = f"'{self.sql(expression, 'to')}'"
    248                return self.func("FROM_JSON", expression.this.this, schema)
    249            if expression.is_type("json"):
    250                return self.func("TO_JSON", expression.this)
    251
    252            return super(Hive.Generator, self).cast_sql(expression, safe_prefix=safe_prefix)
    253
    254        def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
    255            return super().columndef_sql(
    256                expression,
    257                sep=": "
    258                if isinstance(expression.parent, exp.DataType)
    259                and expression.parent.is_type("struct")
    260                else sep,
    261            )
    262
    263    class Tokenizer(Hive.Tokenizer):
    264        HEX_STRINGS = [("X'", "'")]

tokenizer_class = <class 'Spark2.Tokenizer'>
parser_class = <class 'Spark2.Parser'>
generator_class = <class 'Spark2.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 = "X'"
HEX_END = "'"
BYTE_START = None
BYTE_END = None

##### Inherited Members

sqlglot.dialects.hive.Hive
  ALIAS_POST_TABLESAMPLE
  IDENTIFIERS_CAN_START_WITH_DIGIT
  RESOLVES_IDENTIFIERS_AS_UPPERCASE
  TIME_MAPPING
  DATE_FORMAT
  DATEINT_FORMAT
  TIME_FORMAT
sqlglot.dialects.dialect.Dialect
  INDEX_OFFSET
  UNNEST_COLUMN_ONLY
  DPIPE_IS_STRING_CONCAT
  STRICT_STRING_CONCAT
  NORMALIZE_FUNCTIONS
  NULL_ORDERING
  FORMAT_MAPPING
  PSEUDOCOLUMNS
  get_or_raise
  format_time
  normalize_identifier
  case_sensitive
  can_identify
  quote_identifier
  parse
  parse_into
  generate
  transpile
  tokenize
  tokenizer
  parser
  generator

class Spark2.Parser(sqlglot.dialects.hive.Hive.Parser): View Source

    126    class Parser(Hive.Parser):
    127        FUNCTIONS = {
    128            **Hive.Parser.FUNCTIONS,
    129            "AGGREGATE": exp.Reduce.from_arg_list,
    130            "APPROX_PERCENTILE": exp.ApproxQuantile.from_arg_list,
    131            "BOOLEAN": _parse_as_cast("boolean"),
    132            "DATE": _parse_as_cast("date"),
    133            "DATE_TRUNC": lambda args: exp.TimestampTrunc(
    134                this=seq_get(args, 1), unit=exp.var(seq_get(args, 0))
    135            ),
    136            "DAYOFMONTH": lambda args: exp.DayOfMonth(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    137            "DAYOFWEEK": lambda args: exp.DayOfWeek(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    138            "DAYOFYEAR": lambda args: exp.DayOfYear(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    139            "DOUBLE": _parse_as_cast("double"),
    140            "FLOAT": _parse_as_cast("float"),
    141            "IIF": exp.If.from_arg_list,
    142            "INT": _parse_as_cast("int"),
    143            "MAP_FROM_ARRAYS": exp.Map.from_arg_list,
    144            "RLIKE": exp.RegexpLike.from_arg_list,
    145            "SHIFTLEFT": binary_from_function(exp.BitwiseLeftShift),
    146            "SHIFTRIGHT": binary_from_function(exp.BitwiseRightShift),
    147            "STRING": _parse_as_cast("string"),
    148            "TIMESTAMP": _parse_as_cast("timestamp"),
    149            "TO_TIMESTAMP": lambda args: _parse_as_cast("timestamp")(args)
    150            if len(args) == 1
    151            else format_time_lambda(exp.StrToTime, "spark")(args),
    152            "TO_UNIX_TIMESTAMP": exp.StrToUnix.from_arg_list,
    153            "TRUNC": lambda args: exp.DateTrunc(unit=seq_get(args, 1), this=seq_get(args, 0)),
    154            "WEEKOFYEAR": lambda args: exp.WeekOfYear(this=exp.TsOrDsToDate(this=seq_get(args, 0))),
    155        }
    156
    157        FUNCTION_PARSERS = {
    158            **Hive.Parser.FUNCTION_PARSERS,
    159            "BROADCAST": lambda self: self._parse_join_hint("BROADCAST"),
    160            "BROADCASTJOIN": lambda self: self._parse_join_hint("BROADCASTJOIN"),
    161            "MAPJOIN": lambda self: self._parse_join_hint("MAPJOIN"),
    162            "MERGE": lambda self: self._parse_join_hint("MERGE"),
    163            "SHUFFLEMERGE": lambda self: self._parse_join_hint("SHUFFLEMERGE"),
    164            "MERGEJOIN": lambda self: self._parse_join_hint("MERGEJOIN"),
    165            "SHUFFLE_HASH": lambda self: self._parse_join_hint("SHUFFLE_HASH"),
    166            "SHUFFLE_REPLICATE_NL": lambda self: self._parse_join_hint("SHUFFLE_REPLICATE_NL"),
    167        }
    168
    169        def _parse_add_column(self) -> t.Optional[exp.Expression]:
    170            return self._match_text_seq("ADD", "COLUMNS") and self._parse_schema()
    171
    172        def _parse_drop_column(self) -> t.Optional[exp.Drop | exp.Command]:
    173            return self._match_text_seq("DROP", "COLUMNS") and self.expression(
    174                exp.Drop, this=self._parse_schema(), kind="COLUMNS"
    175            )
    176
    177        def _pivot_column_names(self, aggregations: t.List[exp.Expression]) -> t.List[str]:
    178            if len(aggregations) == 1:
    179                return [""]
    180            return pivot_column_names(aggregations, dialect="spark")

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

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_CAT': <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': <function _parse_as_cast.<locals>.<lambda>>, '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': <function Spark2.Parser.<lambda>>, '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': <function Spark2.Parser.<lambda>>, 'DAY_OF_WEEK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfWeek'>>, 'DAYOFWEEK': <function Spark2.Parser.<lambda>>, 'DAY_OF_YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.DayOfYear'>>, 'DAYOFYEAR': <function Spark2.Parser.<lambda>>, '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'>>, 'FIRST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.First'>>, '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'>>, 'IS_NAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsNan'>>, 'ISNAN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.IsNan'>>, 'J_S_O_N_ARRAY': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArray'>>, 'J_S_O_N_ARRAY_AGG': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayAgg'>>, 'JSON_ARRAY_CONTAINS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONArrayContains'>>, 'JSONB_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'>>, 'J_S_O_N_TABLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONTable'>>, 'LAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Last'>>, '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'>>, 'STARTS_WITH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StartsWith'>>, 'STARTSWITH': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StartsWith'>>, 'STDDEV': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stddev'>>, 'STDDEV_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StddevPop'>>, 'STDDEV_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StddevSamp'>>, 'STR_POSITION': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrPosition'>>, 'STR_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrToDate'>>, 'STR_TO_MAP': <function Hive.Parser.<lambda>>, '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'>>, 'STUFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stuff'>>, 'INSERT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Stuff'>>, 'SUBSTRING': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Substring'>>, 'SUM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Sum'>>, 'TIME_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeAdd'>>, 'TIME_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeDiff'>>, 'TIME_STR_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeStrToDate'>>, 'TIME_STR_TO_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeStrToTime'>>, 'TIME_STR_TO_UNIX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeStrToUnix'>>, 'TIME_SUB': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeSub'>>, 'TIME_TO_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeToStr'>>, 'TIME_TO_TIME_STR': <function Parser.<lambda>>, 'TIME_TO_UNIX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeToUnix'>>, 'TIME_TRUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimeTrunc'>>, 'TIMESTAMP_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampAdd'>>, 'TIMESTAMP_DIFF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampDiff'>>, 'TIMESTAMP_SUB': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampSub'>>, 'TIMESTAMP_TRUNC': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TimestampTrunc'>>, 'TO_BASE64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToBase64'>>, 'TO_CHAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToChar'>>, 'TRANSFORM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Transform'>>, 'TRIM': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Trim'>>, 'TRY_CAST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TryCast'>>, 'TS_OR_DI_TO_DI': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDiToDi'>>, 'TS_OR_DS_ADD': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsAdd'>>, 'TS_OR_DS_TO_DATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.TsOrDsToDate'>>, 'TS_OR_DS_TO_DATE_STR': <function Parser.<lambda>>, 'UNHEX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Unhex'>>, 'UNIX_TO_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixToStr'>>, 'UNIX_TO_TIME': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixToTime'>>, 'UNIX_TO_TIME_STR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.UnixToTimeStr'>>, 'UPPER': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Upper'>>, 'UCASE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Upper'>>, 'VAR_MAP': <function parse_var_map>, 'VARIANCE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VARIANCE_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VAR_SAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Variance'>>, 'VARIANCE_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.VariancePop'>>, 'VAR_POP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.VariancePop'>>, 'WEEK': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Week'>>, 'WEEK_OF_YEAR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.WeekOfYear'>>, 'WEEKOFYEAR': <function Spark2.Parser.<lambda>>, 'WHEN': <bound method Func.from_arg_list of <class 'sqlglot.expressions.When'>>, 'X_M_L_TABLE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.XMLTable'>>, 'XOR': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Xor'>>, 'YEAR': <function Hive.Parser.<lambda>>, 'GLOB': <function Parser.<lambda>>, 'LIKE': <function parse_like>, 'BASE64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ToBase64'>>, 'COLLECT_LIST': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArrayAgg'>>, 'COLLECT_SET': <bound method Func.from_arg_list of <class 'sqlglot.expressions.SetAgg'>>, 'DATE_FORMAT': <function Hive.Parser.<lambda>>, 'FROM_UNIXTIME': <function format_time_lambda.<locals>._format_time>, 'GET_JSON_OBJECT': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONExtractScalar'>>, 'LOCATE': <function locate_to_strposition>, 'PERCENTILE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Quantile'>>, 'PERCENTILE_APPROX': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxQuantile'>>, 'SIZE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ArraySize'>>, 'TO_DATE': <function format_time_lambda.<locals>._format_time>, 'TO_JSON': <bound method Func.from_arg_list of <class 'sqlglot.expressions.JSONFormat'>>, 'UNBASE64': <bound method Func.from_arg_list of <class 'sqlglot.expressions.FromBase64'>>, 'UNIX_TIMESTAMP': <function format_time_lambda.<locals>._format_time>, 'AGGREGATE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Reduce'>>, 'APPROX_PERCENTILE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.ApproxQuantile'>>, 'BOOLEAN': <function _parse_as_cast.<locals>.<lambda>>, 'DOUBLE': <function _parse_as_cast.<locals>.<lambda>>, 'FLOAT': <function _parse_as_cast.<locals>.<lambda>>, 'IIF': <bound method Func.from_arg_list of <class 'sqlglot.expressions.If'>>, 'INT': <function _parse_as_cast.<locals>.<lambda>>, 'MAP_FROM_ARRAYS': <bound method Func.from_arg_list of <class 'sqlglot.expressions.Map'>>, 'RLIKE': <bound method Func.from_arg_list of <class 'sqlglot.expressions.RegexpLike'>>, 'SHIFTLEFT': <function binary_from_function.<locals>.<lambda>>, 'SHIFTRIGHT': <function binary_from_function.<locals>.<lambda>>, 'STRING': <function _parse_as_cast.<locals>.<lambda>>, 'TIMESTAMP': <function _parse_as_cast.<locals>.<lambda>>, 'TO_TIMESTAMP': <function Spark2.Parser.<lambda>>, 'TO_UNIX_TIMESTAMP': <bound method Func.from_arg_list of <class 'sqlglot.expressions.StrToUnix'>>, 'TRUNC': <function Spark2.Parser.<lambda>>}
FUNCTION_PARSERS = {'ANY_VALUE': <function Parser.<lambda>>, 'CAST': <function Parser.<lambda>>, 'CONCAT': <function Parser.<lambda>>, 'CONCAT_WS': <function Parser.<lambda>>, 'CONVERT': <function Parser.<lambda>>, 'DECODE': <function Parser.<lambda>>, 'EXTRACT': <function Parser.<lambda>>, 'JSON_OBJECT': <function Parser.<lambda>>, 'LOG': <function Parser.<lambda>>, 'MATCH': <function Parser.<lambda>>, 'OPENJSON': <function Parser.<lambda>>, 'POSITION': <function Parser.<lambda>>, 'SAFE_CAST': <function Parser.<lambda>>, 'STRING_AGG': <function Parser.<lambda>>, 'SUBSTRING': <function Parser.<lambda>>, 'TRIM': <function Parser.<lambda>>, 'TRY_CAST': <function Parser.<lambda>>, 'TRY_CONVERT': <function Parser.<lambda>>, 'BROADCAST': <function Spark2.Parser.<lambda>>, 'BROADCASTJOIN': <function Spark2.Parser.<lambda>>, 'MAPJOIN': <function Spark2.Parser.<lambda>>, 'MERGE': <function Spark2.Parser.<lambda>>, 'SHUFFLEMERGE': <function Spark2.Parser.<lambda>>, 'MERGEJOIN': <function Spark2.Parser.<lambda>>, 'SHUFFLE_HASH': <function Spark2.Parser.<lambda>>, 'SHUFFLE_REPLICATE_NL': <function Spark2.Parser.<lambda>>}
TOKENIZER_CLASS: Type[sqlglot.tokens.Tokenizer] = <class 'Spark2.Tokenizer'>
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_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
  STRUCT_TYPE_TOKENS
  NESTED_TYPE_TOKENS
  ENUM_TYPE_TOKENS
  TYPE_TOKENS
  SIGNED_TO_UNSIGNED_TYPE_TOKEN
  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
  TIMES
  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
  INVALID_FUNC_NAME_TOKENS
  FUNCTIONS_WITH_ALIASED_ARGS
  QUERY_MODIFIER_PARSERS
  SET_PARSERS
  SHOW_PARSERS
  TYPE_LITERAL_PARSERS
  MODIFIABLES
  DDL_SELECT_TOKENS
  PRE_VOLATILE_TOKENS
  TRANSACTION_KIND
  TRANSACTION_CHARACTERISTICS
  INSERT_ALTERNATIVES
  CLONE_KINDS
  TABLE_INDEX_HINT_TOKENS
  WINDOW_ALIAS_TOKENS
  WINDOW_BEFORE_PAREN_TOKENS
  WINDOW_SIDES
  ADD_CONSTRAINT_TOKENS
  DISTINCT_TOKENS
  CONCAT_NULL_OUTPUTS_STRING
  PREFIXED_PIVOT_COLUMNS
  IDENTIFY_PIVOT_STRINGS
  LOG_BASE_FIRST
  ALTER_TABLE_ADD_COLUMN_KEYWORD
  TABLESAMPLE_CSV
  INDEX_OFFSET
  UNNEST_COLUMN_ONLY
  STRICT_STRING_CONCAT
  NORMALIZE_FUNCTIONS
  NULL_ORDERING
  FORMAT_MAPPING
  error_level
  error_message_context
  max_errors
  reset
  parse
  parse_into
  check_errors
  raise_error
  expression
  validate_expression
  errors
  sql
sqlglot.dialects.hive.Hive.Parser
  LOG_DEFAULTS_TO_LN
  STRICT_CAST
  SUPPORTS_USER_DEFINED_TYPES
  NO_PAREN_FUNCTION_PARSERS
  PROPERTY_PARSERS
  ALIAS_POST_TABLESAMPLE
  TIME_MAPPING

class Spark2.Generator(sqlglot.dialects.hive.Hive.Generator): View Source

    182    class Generator(Hive.Generator):
    183        QUERY_HINTS = True
    184        NVL2_SUPPORTED = True
    185
    186        PROPERTIES_LOCATION = {
    187            **Hive.Generator.PROPERTIES_LOCATION,
    188            exp.EngineProperty: exp.Properties.Location.UNSUPPORTED,
    189            exp.AutoIncrementProperty: exp.Properties.Location.UNSUPPORTED,
    190            exp.CharacterSetProperty: exp.Properties.Location.UNSUPPORTED,
    191            exp.CollateProperty: exp.Properties.Location.UNSUPPORTED,
    192        }
    193
    194        TRANSFORMS = {
    195            **Hive.Generator.TRANSFORMS,
    196            exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"),
    197            exp.ArraySum: lambda self, e: f"AGGREGATE({self.sql(e, 'this')}, 0, (acc, x) -> acc + x, acc -> acc)",
    198            exp.AtTimeZone: lambda self, e: f"FROM_UTC_TIMESTAMP({self.sql(e, 'this')}, {self.sql(e, 'zone')})",
    199            exp.BitwiseLeftShift: rename_func("SHIFTLEFT"),
    200            exp.BitwiseRightShift: rename_func("SHIFTRIGHT"),
    201            exp.Create: _create_sql,
    202            exp.DateFromParts: rename_func("MAKE_DATE"),
    203            exp.DateTrunc: lambda self, e: self.func("TRUNC", e.this, e.args.get("unit")),
    204            exp.DayOfMonth: rename_func("DAYOFMONTH"),
    205            exp.DayOfWeek: rename_func("DAYOFWEEK"),
    206            exp.DayOfYear: rename_func("DAYOFYEAR"),
    207            exp.FileFormatProperty: lambda self, e: f"USING {e.name.upper()}",
    208            exp.From: transforms.preprocess([_unalias_pivot]),
    209            exp.Insert: _insert_sql,
    210            exp.LogicalAnd: rename_func("BOOL_AND"),
    211            exp.LogicalOr: rename_func("BOOL_OR"),
    212            exp.Map: _map_sql,
    213            exp.Pivot: transforms.preprocess([_unqualify_pivot_columns]),
    214            exp.Reduce: rename_func("AGGREGATE"),
    215            exp.RegexpReplace: lambda self, e: self.func(
    216                "REGEXP_REPLACE",
    217                e.this,
    218                e.expression,
    219                e.args["replacement"],
    220                e.args.get("position"),
    221            ),
    222            exp.StrToDate: _str_to_date,
    223            exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})",
    224            exp.TimestampTrunc: lambda self, e: self.func(
    225                "DATE_TRUNC", exp.Literal.string(e.text("unit")), e.this
    226            ),
    227            exp.Trim: trim_sql,
    228            exp.UnixToTime: _unix_to_time_sql,
    229            exp.VariancePop: rename_func("VAR_POP"),
    230            exp.WeekOfYear: rename_func("WEEKOFYEAR"),
    231            exp.WithinGroup: transforms.preprocess(
    232                [transforms.remove_within_group_for_percentiles]
    233            ),
    234        }
    235        TRANSFORMS.pop(exp.ArrayJoin)
    236        TRANSFORMS.pop(exp.ArraySort)
    237        TRANSFORMS.pop(exp.ILike)
    238        TRANSFORMS.pop(exp.Left)
    239        TRANSFORMS.pop(exp.MonthsBetween)
    240        TRANSFORMS.pop(exp.Right)
    241
    242        WRAP_DERIVED_VALUES = False
    243        CREATE_FUNCTION_RETURN_AS = False
    244
    245        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
    246            if isinstance(expression.this, exp.Cast) and expression.this.is_type("json"):
    247                schema = f"'{self.sql(expression, 'to')}'"
    248                return self.func("FROM_JSON", expression.this.this, schema)
    249            if expression.is_type("json"):
    250                return self.func("TO_JSON", expression.this)
    251
    252            return super(Hive.Generator, self).cast_sql(expression, safe_prefix=safe_prefix)
    253
    254        def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
    255            return super().columndef_sql(
    256                expression,
    257                sep=": "
    258                if isinstance(expression.parent, exp.DataType)
    259                and expression.parent.is_type("struct")
    260                else sep,
    261            )

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

QUERY_HINTS = True
NVL2_SUPPORTED = True
PROPERTIES_LOCATION = {<class 'sqlglot.expressions.AlgorithmProperty'>: <Location.POST_CREATE: 'POST_CREATE'>, <class 'sqlglot.expressions.AutoIncrementProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.BlockCompressionProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.CharacterSetProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <class 'sqlglot.expressions.ChecksumProperty'>: <Location.POST_NAME: 'POST_NAME'>, <class 'sqlglot.expressions.CollateProperty'>: <Location.UNSUPPORTED: 'UNSUPPORTED'>, <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.UNSUPPORTED: 'UNSUPPORTED'>, <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.HeapProperty'>: <Location.POST_WITH: 'POST_WITH'>, <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.OnProperty'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.OnCommitProperty'>: <Location.POST_EXPRESSION: 'POST_EXPRESSION'>, <class 'sqlglot.expressions.Order'>: <Location.POST_SCHEMA: 'POST_SCHEMA'>, <class 'sqlglot.expressions.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'>}
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.ClusteredColumnConstraint'>: <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.HeapProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.InlineLengthColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.IntervalSpan'>: <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.NonClusteredColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.NotForReplicationColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnCommitProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnProperty'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.OnUpdateColumnConstraint'>: <function Generator.<lambda>>, <class 'sqlglot.expressions.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.AnyValue'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.ApproxDistinct'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.ArrayConcat'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.ArraySize'>: <function rename_func.<locals>.<lambda>>, <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 Spark2.Generator.<lambda>>, <class 'sqlglot.expressions.FromBase64'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.If'>: <function if_sql>, <class 'sqlglot.expressions.IsNan'>: <function rename_func.<locals>.<lambda>>, <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.Map'>: <function _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.NotNullColumnConstraint'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.Create'>: <function _create_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 Spark2.Generator.<lambda>>, <class 'sqlglot.expressions.RegexpLike'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.RegexpSplit'>: <function rename_func.<locals>.<lambda>>, <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>, <class 'sqlglot.expressions.StrToTime'>: <function Spark2.Generator.<lambda>>, <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 _unix_to_time_sql>, <class 'sqlglot.expressions.UnixToTimeStr'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.PartitionedByProperty'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.SerdeProperties'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.NumberToStr'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.LastDateOfMonth'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.National'>: <function Hive.Generator.<lambda>>, <class 'sqlglot.expressions.ArraySum'>: <function Spark2.Generator.<lambda>>, <class 'sqlglot.expressions.AtTimeZone'>: <function Spark2.Generator.<lambda>>, <class 'sqlglot.expressions.BitwiseLeftShift'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.BitwiseRightShift'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DateFromParts'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DateTrunc'>: <function Spark2.Generator.<lambda>>, <class 'sqlglot.expressions.DayOfMonth'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DayOfWeek'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.DayOfYear'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.From'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.Insert'>: <function _insert_sql>, <class 'sqlglot.expressions.LogicalAnd'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.LogicalOr'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.Pivot'>: <function preprocess.<locals>._to_sql>, <class 'sqlglot.expressions.Reduce'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.TimestampTrunc'>: <function Spark2.Generator.<lambda>>, <class 'sqlglot.expressions.Trim'>: <function trim_sql>, <class 'sqlglot.expressions.VariancePop'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.WeekOfYear'>: <function rename_func.<locals>.<lambda>>, <class 'sqlglot.expressions.WithinGroup'>: <function preprocess.<locals>._to_sql>}
WRAP_DERIVED_VALUES = False
CREATE_FUNCTION_RETURN_AS = False
def cast_sql( self, expression: sqlglot.expressions.Cast, safe_prefix: Optional[str] = None) -> str: View Source

    245        def cast_sql(self, expression: exp.Cast, safe_prefix: t.Optional[str] = None) -> str:
    246            if isinstance(expression.this, exp.Cast) and expression.this.is_type("json"):
    247                schema = f"'{self.sql(expression, 'to')}'"
    248                return self.func("FROM_JSON", expression.this.this, schema)
    249            if expression.is_type("json"):
    250                return self.func("TO_JSON", expression.this)
    251
    252            return super(Hive.Generator, self).cast_sql(expression, safe_prefix=safe_prefix)

def columndef_sql(self, expression: sqlglot.expressions.ColumnDef, sep: str = ' ') -> str: View Source

    254        def columndef_sql(self, expression: exp.ColumnDef, sep: str = " ") -> str:
    255            return super().columndef_sql(
    256                expression,
    257                sep=": "
    258                if isinstance(expression.parent, exp.DataType)
    259                and expression.parent.is_type("struct")
    260                else sep,
    261            )

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}}}
@classmethod
def can_identify(text: str, identify: str | bool = 'safe') -> bool: View Source

    257    @classmethod
    258    def can_identify(cls, text: str, identify: str | bool = "safe") -> bool:
    259        """Checks if text can be identified given an identify option.
    260
    261        Args:
    262            text: The text to check.
    263            identify:
    264                "always" or `True`: Always returns true.
    265                "safe": True if the identifier is case-insensitive.
    266
    267        Returns:
    268            Whether or not the given text can be identified.
    269        """
    270        if identify is True or identify == "always":
    271            return True
    272
    273        if identify == "safe":
    274            return not cls.case_sensitive(text)
    275
    276        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 = '`'
TOKENIZER_CLASS = <class 'Spark2.Tokenizer'>
BIT_START: Optional[str] = None
BIT_END: Optional[str] = None
HEX_START: Optional[str] = "X'"
HEX_END: Optional[str] = "'"
BYTE_START: Optional[str] = None
BYTE_END: Optional[str] = None

##### Inherited Members

sqlglot.generator.Generator
  Generator
  NULL_ORDERING_SUPPORTED
  LOCKING_READS_SUPPORTED
  EXPLICIT_UNION
  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
  TZ_TO_WITH_TIME_ZONE
  VALUES_AS_TABLE
  ALTER_TABLE_ADD_COLUMN_KEYWORD
  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
  columnconstraint_sql
  computedcolumnconstraint_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
  datatypeparam_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
  objectidentifier_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
  connect_sql
  prior_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
  foreignkey_sql
  primarykey_sql
  if_sql
  matchagainst_sql
  jsonkeyvalue_sql
  formatjson_sql
  jsonobject_sql
  jsonarray_sql
  jsonarrayagg_sql
  jsoncolumndef_sql
  jsontable_sql
  openjsoncolumndef_sql
  openjson_sql
  in_sql
  in_unnest_op
  interval_sql
  return_sql
  reference_sql
  anonymous_sql
  paren_sql
  neg_sql
  not_sql
  alias_sql
  aliases_sql
  attimezone_sql
  add_sql
  and_sql
  xor_sql
  connector_sql
  bitwiseand_sql
  bitwiseleftshift_sql
  bitwisenot_sql
  bitwiseor_sql
  bitwiserightshift_sql
  bitwisexor_sql
  currentdate_sql
  collate_sql
  command_sql
  comment_sql
  mergetreettlaction_sql
  mergetreettl_sql
  transaction_sql
  commit_sql
  rollback_sql
  altercolumn_sql
  renametable_sql
  altertable_sql
  droppartition_sql
  addconstraint_sql
  distinct_sql
  ignorenulls_sql
  respectnulls_sql
  intdiv_sql
  dpipe_sql
  safedpipe_sql
  div_sql
  overlaps_sql
  distance_sql
  dot_sql
  eq_sql
  escape_sql
  glob_sql
  gt_sql
  gte_sql
  ilike_sql
  ilikeany_sql
  is_sql
  like_sql
  likeany_sql
  similarto_sql
  lt_sql
  lte_sql
  mod_sql
  mul_sql
  neq_sql
  nullsafeeq_sql
  nullsafeneq_sql
  or_sql
  slice_sql
  sub_sql
  trycast_sql
  use_sql
  binary
  function_fallback_sql
  func
  format_args
  text_width
  format_time
  expressions
  op_expressions
  naked_property
  set_operation
  tag_sql
  token_sql
  userdefinedfunction_sql
  joinhint_sql
  kwarg_sql
  when_sql
  merge_sql
  tochar_sql
  dictproperty_sql
  dictrange_sql
  dictsubproperty_sql
  oncluster_sql
  clusteredbyproperty_sql
  anyvalue_sql
  querytransform_sql
  indexconstraintoption_sql
  indexcolumnconstraint_sql
  nvl2_sql
  comprehension_sql
  columnprefix_sql
sqlglot.dialects.hive.Hive.Generator
  LIMIT_FETCH
  TABLESAMPLE_WITH_METHOD
  TABLESAMPLE_SIZE_IS_PERCENT
  JOIN_HINTS
  TABLE_HINTS
  INDEX_ON
  EXTRACT_ALLOWS_QUOTES
  TYPE_MAPPING
  rowformatserdeproperty_sql
  arrayagg_sql
  with_properties
  datatype_sql
  version_sql
  ALIAS_POST_TABLESAMPLE
  IDENTIFIERS_CAN_START_WITH_DIGIT

class Spark2.Tokenizer(sqlglot.dialects.hive.Hive.Tokenizer): View Source

    263    class Tokenizer(Hive.Tokenizer):
    264        HEX_STRINGS = [("X'", "'")]

HEX_STRINGS = [("X'", "'")]

##### Inherited Members

sqlglot.tokens.Tokenizer
  SINGLE_TOKENS
  BIT_STRINGS
  BYTE_STRINGS
  RAW_STRINGS
  IDENTIFIER_ESCAPES
  VAR_SINGLE_TOKENS
  WHITE_SPACE
  COMMANDS
  COMMAND_PREFIX_TOKENS
  COMMENTS
  reset
  tokenize
  peek
  size
  sql
  tokens
sqlglot.dialects.hive.Hive.Tokenizer
  QUOTES
  IDENTIFIERS
  STRING_ESCAPES
  ENCODE
  KEYWORDS
  NUMERIC_LITERALS
  IDENTIFIERS_CAN_START_WITH_DIGIT