sqlglot.dialects.spark
1from __future__ import annotations 2 3from sqlglot import exp, parser 4from sqlglot.dialects.dialect import create_with_partitions_sql, rename_func, trim_sql 5from sqlglot.dialects.hive import Hive 6from sqlglot.helper import seq_get 7 8 9def _create_sql(self, e): 10 kind = e.args.get("kind") 11 temporary = e.args.get("temporary") 12 13 if kind.upper() == "TABLE" and temporary is True: 14 return f"CREATE TEMPORARY VIEW {self.sql(e, 'this')} AS {self.sql(e, 'expression')}" 15 return create_with_partitions_sql(self, e) 16 17 18def _map_sql(self, expression): 19 keys = self.sql(expression.args["keys"]) 20 values = self.sql(expression.args["values"]) 21 return f"MAP_FROM_ARRAYS({keys}, {values})" 22 23 24def _str_to_date(self, expression): 25 this = self.sql(expression, "this") 26 time_format = self.format_time(expression) 27 if time_format == Hive.date_format: 28 return f"TO_DATE({this})" 29 return f"TO_DATE({this}, {time_format})" 30 31 32def _unix_to_time(self, expression): 33 scale = expression.args.get("scale") 34 timestamp = self.sql(expression, "this") 35 if scale is None: 36 return f"FROM_UNIXTIME({timestamp})" 37 if scale == exp.UnixToTime.SECONDS: 38 return f"TIMESTAMP_SECONDS({timestamp})" 39 if scale == exp.UnixToTime.MILLIS: 40 return f"TIMESTAMP_MILLIS({timestamp})" 41 if scale == exp.UnixToTime.MICROS: 42 return f"TIMESTAMP_MICROS({timestamp})" 43 44 raise ValueError("Improper scale for timestamp") 45 46 47class Spark(Hive): 48 class Parser(Hive.Parser): 49 FUNCTIONS = { 50 **Hive.Parser.FUNCTIONS, # type: ignore 51 "MAP_FROM_ARRAYS": exp.Map.from_arg_list, 52 "TO_UNIX_TIMESTAMP": exp.StrToUnix.from_arg_list, 53 "LEFT": lambda args: exp.Substring( 54 this=seq_get(args, 0), 55 start=exp.Literal.number(1), 56 length=seq_get(args, 1), 57 ), 58 "SHIFTLEFT": lambda args: exp.BitwiseLeftShift( 59 this=seq_get(args, 0), 60 expression=seq_get(args, 1), 61 ), 62 "SHIFTRIGHT": lambda args: exp.BitwiseRightShift( 63 this=seq_get(args, 0), 64 expression=seq_get(args, 1), 65 ), 66 "RIGHT": lambda args: exp.Substring( 67 this=seq_get(args, 0), 68 start=exp.Sub( 69 this=exp.Length(this=seq_get(args, 0)), 70 expression=exp.Add(this=seq_get(args, 1), expression=exp.Literal.number(1)), 71 ), 72 length=seq_get(args, 1), 73 ), 74 "APPROX_PERCENTILE": exp.ApproxQuantile.from_arg_list, 75 "IIF": exp.If.from_arg_list, 76 "AGGREGATE": exp.Reduce.from_arg_list, 77 "DAYOFWEEK": lambda args: exp.DayOfWeek( 78 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 79 ), 80 "DAYOFMONTH": lambda args: exp.DayOfMonth( 81 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 82 ), 83 "DAYOFYEAR": lambda args: exp.DayOfYear( 84 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 85 ), 86 "WEEKOFYEAR": lambda args: exp.WeekOfYear( 87 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 88 ), 89 "DATE_TRUNC": lambda args: exp.TimestampTrunc( 90 this=seq_get(args, 1), 91 unit=exp.var(seq_get(args, 0)), 92 ), 93 "TRUNC": lambda args: exp.DateTrunc(unit=seq_get(args, 1), this=seq_get(args, 0)), 94 } 95 96 FUNCTION_PARSERS = { 97 **parser.Parser.FUNCTION_PARSERS, # type: ignore 98 "BROADCAST": lambda self: self._parse_join_hint("BROADCAST"), 99 "BROADCASTJOIN": lambda self: self._parse_join_hint("BROADCASTJOIN"), 100 "MAPJOIN": lambda self: self._parse_join_hint("MAPJOIN"), 101 "MERGE": lambda self: self._parse_join_hint("MERGE"), 102 "SHUFFLEMERGE": lambda self: self._parse_join_hint("SHUFFLEMERGE"), 103 "MERGEJOIN": lambda self: self._parse_join_hint("MERGEJOIN"), 104 "SHUFFLE_HASH": lambda self: self._parse_join_hint("SHUFFLE_HASH"), 105 "SHUFFLE_REPLICATE_NL": lambda self: self._parse_join_hint("SHUFFLE_REPLICATE_NL"), 106 } 107 108 def _parse_add_column(self): 109 return self._match_text_seq("ADD", "COLUMNS") and self._parse_schema() 110 111 def _parse_drop_column(self): 112 return self._match_text_seq("DROP", "COLUMNS") and self.expression( 113 exp.Drop, 114 this=self._parse_schema(), 115 kind="COLUMNS", 116 ) 117 118 class Generator(Hive.Generator): 119 TYPE_MAPPING = { 120 **Hive.Generator.TYPE_MAPPING, # type: ignore 121 exp.DataType.Type.TINYINT: "BYTE", 122 exp.DataType.Type.SMALLINT: "SHORT", 123 exp.DataType.Type.BIGINT: "LONG", 124 } 125 126 PROPERTIES_LOCATION = { 127 **Hive.Generator.PROPERTIES_LOCATION, # type: ignore 128 exp.EngineProperty: exp.Properties.Location.UNSUPPORTED, 129 exp.AutoIncrementProperty: exp.Properties.Location.UNSUPPORTED, 130 exp.CharacterSetProperty: exp.Properties.Location.UNSUPPORTED, 131 exp.CollateProperty: exp.Properties.Location.UNSUPPORTED, 132 } 133 134 TRANSFORMS = { 135 **Hive.Generator.TRANSFORMS, # type: ignore 136 exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"), 137 exp.FileFormatProperty: lambda self, e: f"USING {e.name.upper()}", 138 exp.ArraySum: lambda self, e: f"AGGREGATE({self.sql(e, 'this')}, 0, (acc, x) -> acc + x, acc -> acc)", 139 exp.BitwiseLeftShift: rename_func("SHIFTLEFT"), 140 exp.BitwiseRightShift: rename_func("SHIFTRIGHT"), 141 exp.DateTrunc: lambda self, e: self.func("TRUNC", e.this, e.args.get("unit")), 142 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", 143 exp.StrToDate: _str_to_date, 144 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", 145 exp.UnixToTime: _unix_to_time, 146 exp.Create: _create_sql, 147 exp.Map: _map_sql, 148 exp.Reduce: rename_func("AGGREGATE"), 149 exp.StructKwarg: lambda self, e: f"{self.sql(e, 'this')}: {self.sql(e, 'expression')}", 150 exp.TimestampTrunc: lambda self, e: self.func( 151 "DATE_TRUNC", exp.Literal.string(e.text("unit")), e.this 152 ), 153 exp.Trim: trim_sql, 154 exp.VariancePop: rename_func("VAR_POP"), 155 exp.DateFromParts: rename_func("MAKE_DATE"), 156 exp.LogicalOr: rename_func("BOOL_OR"), 157 exp.DayOfWeek: rename_func("DAYOFWEEK"), 158 exp.DayOfMonth: rename_func("DAYOFMONTH"), 159 exp.DayOfYear: rename_func("DAYOFYEAR"), 160 exp.WeekOfYear: rename_func("WEEKOFYEAR"), 161 exp.AtTimeZone: lambda self, e: f"FROM_UTC_TIMESTAMP({self.sql(e, 'this')}, {self.sql(e, 'zone')})", 162 } 163 TRANSFORMS.pop(exp.ArraySort) 164 TRANSFORMS.pop(exp.ILike) 165 166 WRAP_DERIVED_VALUES = False 167 CREATE_FUNCTION_RETURN_AS = False 168 169 def cast_sql(self, expression: exp.Cast) -> str: 170 if isinstance(expression.this, exp.Cast) and expression.this.is_type( 171 exp.DataType.Type.JSON 172 ): 173 schema = f"'{self.sql(expression, 'to')}'" 174 return self.func("FROM_JSON", expression.this.this, schema) 175 if expression.to.is_type(exp.DataType.Type.JSON): 176 return self.func("TO_JSON", expression.this) 177 178 return super(Spark.Generator, self).cast_sql(expression) 179 180 class Tokenizer(Hive.Tokenizer): 181 HEX_STRINGS = [("X'", "'")]
48class Spark(Hive): 49 class Parser(Hive.Parser): 50 FUNCTIONS = { 51 **Hive.Parser.FUNCTIONS, # type: ignore 52 "MAP_FROM_ARRAYS": exp.Map.from_arg_list, 53 "TO_UNIX_TIMESTAMP": exp.StrToUnix.from_arg_list, 54 "LEFT": lambda args: exp.Substring( 55 this=seq_get(args, 0), 56 start=exp.Literal.number(1), 57 length=seq_get(args, 1), 58 ), 59 "SHIFTLEFT": lambda args: exp.BitwiseLeftShift( 60 this=seq_get(args, 0), 61 expression=seq_get(args, 1), 62 ), 63 "SHIFTRIGHT": lambda args: exp.BitwiseRightShift( 64 this=seq_get(args, 0), 65 expression=seq_get(args, 1), 66 ), 67 "RIGHT": lambda args: exp.Substring( 68 this=seq_get(args, 0), 69 start=exp.Sub( 70 this=exp.Length(this=seq_get(args, 0)), 71 expression=exp.Add(this=seq_get(args, 1), expression=exp.Literal.number(1)), 72 ), 73 length=seq_get(args, 1), 74 ), 75 "APPROX_PERCENTILE": exp.ApproxQuantile.from_arg_list, 76 "IIF": exp.If.from_arg_list, 77 "AGGREGATE": exp.Reduce.from_arg_list, 78 "DAYOFWEEK": lambda args: exp.DayOfWeek( 79 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 80 ), 81 "DAYOFMONTH": lambda args: exp.DayOfMonth( 82 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 83 ), 84 "DAYOFYEAR": lambda args: exp.DayOfYear( 85 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 86 ), 87 "WEEKOFYEAR": lambda args: exp.WeekOfYear( 88 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 89 ), 90 "DATE_TRUNC": lambda args: exp.TimestampTrunc( 91 this=seq_get(args, 1), 92 unit=exp.var(seq_get(args, 0)), 93 ), 94 "TRUNC": lambda args: exp.DateTrunc(unit=seq_get(args, 1), this=seq_get(args, 0)), 95 } 96 97 FUNCTION_PARSERS = { 98 **parser.Parser.FUNCTION_PARSERS, # type: ignore 99 "BROADCAST": lambda self: self._parse_join_hint("BROADCAST"), 100 "BROADCASTJOIN": lambda self: self._parse_join_hint("BROADCASTJOIN"), 101 "MAPJOIN": lambda self: self._parse_join_hint("MAPJOIN"), 102 "MERGE": lambda self: self._parse_join_hint("MERGE"), 103 "SHUFFLEMERGE": lambda self: self._parse_join_hint("SHUFFLEMERGE"), 104 "MERGEJOIN": lambda self: self._parse_join_hint("MERGEJOIN"), 105 "SHUFFLE_HASH": lambda self: self._parse_join_hint("SHUFFLE_HASH"), 106 "SHUFFLE_REPLICATE_NL": lambda self: self._parse_join_hint("SHUFFLE_REPLICATE_NL"), 107 } 108 109 def _parse_add_column(self): 110 return self._match_text_seq("ADD", "COLUMNS") and self._parse_schema() 111 112 def _parse_drop_column(self): 113 return self._match_text_seq("DROP", "COLUMNS") and self.expression( 114 exp.Drop, 115 this=self._parse_schema(), 116 kind="COLUMNS", 117 ) 118 119 class Generator(Hive.Generator): 120 TYPE_MAPPING = { 121 **Hive.Generator.TYPE_MAPPING, # type: ignore 122 exp.DataType.Type.TINYINT: "BYTE", 123 exp.DataType.Type.SMALLINT: "SHORT", 124 exp.DataType.Type.BIGINT: "LONG", 125 } 126 127 PROPERTIES_LOCATION = { 128 **Hive.Generator.PROPERTIES_LOCATION, # type: ignore 129 exp.EngineProperty: exp.Properties.Location.UNSUPPORTED, 130 exp.AutoIncrementProperty: exp.Properties.Location.UNSUPPORTED, 131 exp.CharacterSetProperty: exp.Properties.Location.UNSUPPORTED, 132 exp.CollateProperty: exp.Properties.Location.UNSUPPORTED, 133 } 134 135 TRANSFORMS = { 136 **Hive.Generator.TRANSFORMS, # type: ignore 137 exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"), 138 exp.FileFormatProperty: lambda self, e: f"USING {e.name.upper()}", 139 exp.ArraySum: lambda self, e: f"AGGREGATE({self.sql(e, 'this')}, 0, (acc, x) -> acc + x, acc -> acc)", 140 exp.BitwiseLeftShift: rename_func("SHIFTLEFT"), 141 exp.BitwiseRightShift: rename_func("SHIFTRIGHT"), 142 exp.DateTrunc: lambda self, e: self.func("TRUNC", e.this, e.args.get("unit")), 143 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", 144 exp.StrToDate: _str_to_date, 145 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", 146 exp.UnixToTime: _unix_to_time, 147 exp.Create: _create_sql, 148 exp.Map: _map_sql, 149 exp.Reduce: rename_func("AGGREGATE"), 150 exp.StructKwarg: lambda self, e: f"{self.sql(e, 'this')}: {self.sql(e, 'expression')}", 151 exp.TimestampTrunc: lambda self, e: self.func( 152 "DATE_TRUNC", exp.Literal.string(e.text("unit")), e.this 153 ), 154 exp.Trim: trim_sql, 155 exp.VariancePop: rename_func("VAR_POP"), 156 exp.DateFromParts: rename_func("MAKE_DATE"), 157 exp.LogicalOr: rename_func("BOOL_OR"), 158 exp.DayOfWeek: rename_func("DAYOFWEEK"), 159 exp.DayOfMonth: rename_func("DAYOFMONTH"), 160 exp.DayOfYear: rename_func("DAYOFYEAR"), 161 exp.WeekOfYear: rename_func("WEEKOFYEAR"), 162 exp.AtTimeZone: lambda self, e: f"FROM_UTC_TIMESTAMP({self.sql(e, 'this')}, {self.sql(e, 'zone')})", 163 } 164 TRANSFORMS.pop(exp.ArraySort) 165 TRANSFORMS.pop(exp.ILike) 166 167 WRAP_DERIVED_VALUES = False 168 CREATE_FUNCTION_RETURN_AS = False 169 170 def cast_sql(self, expression: exp.Cast) -> str: 171 if isinstance(expression.this, exp.Cast) and expression.this.is_type( 172 exp.DataType.Type.JSON 173 ): 174 schema = f"'{self.sql(expression, 'to')}'" 175 return self.func("FROM_JSON", expression.this.this, schema) 176 if expression.to.is_type(exp.DataType.Type.JSON): 177 return self.func("TO_JSON", expression.this) 178 179 return super(Spark.Generator, self).cast_sql(expression) 180 181 class Tokenizer(Hive.Tokenizer): 182 HEX_STRINGS = [("X'", "'")]
Inherited Members
49 class Parser(Hive.Parser): 50 FUNCTIONS = { 51 **Hive.Parser.FUNCTIONS, # type: ignore 52 "MAP_FROM_ARRAYS": exp.Map.from_arg_list, 53 "TO_UNIX_TIMESTAMP": exp.StrToUnix.from_arg_list, 54 "LEFT": lambda args: exp.Substring( 55 this=seq_get(args, 0), 56 start=exp.Literal.number(1), 57 length=seq_get(args, 1), 58 ), 59 "SHIFTLEFT": lambda args: exp.BitwiseLeftShift( 60 this=seq_get(args, 0), 61 expression=seq_get(args, 1), 62 ), 63 "SHIFTRIGHT": lambda args: exp.BitwiseRightShift( 64 this=seq_get(args, 0), 65 expression=seq_get(args, 1), 66 ), 67 "RIGHT": lambda args: exp.Substring( 68 this=seq_get(args, 0), 69 start=exp.Sub( 70 this=exp.Length(this=seq_get(args, 0)), 71 expression=exp.Add(this=seq_get(args, 1), expression=exp.Literal.number(1)), 72 ), 73 length=seq_get(args, 1), 74 ), 75 "APPROX_PERCENTILE": exp.ApproxQuantile.from_arg_list, 76 "IIF": exp.If.from_arg_list, 77 "AGGREGATE": exp.Reduce.from_arg_list, 78 "DAYOFWEEK": lambda args: exp.DayOfWeek( 79 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 80 ), 81 "DAYOFMONTH": lambda args: exp.DayOfMonth( 82 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 83 ), 84 "DAYOFYEAR": lambda args: exp.DayOfYear( 85 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 86 ), 87 "WEEKOFYEAR": lambda args: exp.WeekOfYear( 88 this=exp.TsOrDsToDate(this=seq_get(args, 0)), 89 ), 90 "DATE_TRUNC": lambda args: exp.TimestampTrunc( 91 this=seq_get(args, 1), 92 unit=exp.var(seq_get(args, 0)), 93 ), 94 "TRUNC": lambda args: exp.DateTrunc(unit=seq_get(args, 1), this=seq_get(args, 0)), 95 } 96 97 FUNCTION_PARSERS = { 98 **parser.Parser.FUNCTION_PARSERS, # type: ignore 99 "BROADCAST": lambda self: self._parse_join_hint("BROADCAST"), 100 "BROADCASTJOIN": lambda self: self._parse_join_hint("BROADCASTJOIN"), 101 "MAPJOIN": lambda self: self._parse_join_hint("MAPJOIN"), 102 "MERGE": lambda self: self._parse_join_hint("MERGE"), 103 "SHUFFLEMERGE": lambda self: self._parse_join_hint("SHUFFLEMERGE"), 104 "MERGEJOIN": lambda self: self._parse_join_hint("MERGEJOIN"), 105 "SHUFFLE_HASH": lambda self: self._parse_join_hint("SHUFFLE_HASH"), 106 "SHUFFLE_REPLICATE_NL": lambda self: self._parse_join_hint("SHUFFLE_REPLICATE_NL"), 107 } 108 109 def _parse_add_column(self): 110 return self._match_text_seq("ADD", "COLUMNS") and self._parse_schema() 111 112 def _parse_drop_column(self): 113 return self._match_text_seq("DROP", "COLUMNS") and self.expression( 114 exp.Drop, 115 this=self._parse_schema(), 116 kind="COLUMNS", 117 )
Parser consumes a list of tokens produced by the sqlglot.tokens.Tokenizer and produces
a parsed syntax tree.
Arguments:
- error_level: the desired error level. Default: ErrorLevel.RAISE
- error_message_context: determines the amount of context to capture from a query string when displaying the error message (in number of characters). Default: 50.
- index_offset: Index offset for arrays eg ARRAY[0] vs ARRAY[1] as the head of a list. Default: 0
- alias_post_tablesample: If the table alias comes after tablesample. Default: False
- 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
- null_ordering: Indicates the default null ordering method to use if not explicitly set. Options are "nulls_are_small", "nulls_are_large", "nulls_are_last". Default: "nulls_are_small"
Inherited Members
119 class Generator(Hive.Generator): 120 TYPE_MAPPING = { 121 **Hive.Generator.TYPE_MAPPING, # type: ignore 122 exp.DataType.Type.TINYINT: "BYTE", 123 exp.DataType.Type.SMALLINT: "SHORT", 124 exp.DataType.Type.BIGINT: "LONG", 125 } 126 127 PROPERTIES_LOCATION = { 128 **Hive.Generator.PROPERTIES_LOCATION, # type: ignore 129 exp.EngineProperty: exp.Properties.Location.UNSUPPORTED, 130 exp.AutoIncrementProperty: exp.Properties.Location.UNSUPPORTED, 131 exp.CharacterSetProperty: exp.Properties.Location.UNSUPPORTED, 132 exp.CollateProperty: exp.Properties.Location.UNSUPPORTED, 133 } 134 135 TRANSFORMS = { 136 **Hive.Generator.TRANSFORMS, # type: ignore 137 exp.ApproxDistinct: rename_func("APPROX_COUNT_DISTINCT"), 138 exp.FileFormatProperty: lambda self, e: f"USING {e.name.upper()}", 139 exp.ArraySum: lambda self, e: f"AGGREGATE({self.sql(e, 'this')}, 0, (acc, x) -> acc + x, acc -> acc)", 140 exp.BitwiseLeftShift: rename_func("SHIFTLEFT"), 141 exp.BitwiseRightShift: rename_func("SHIFTRIGHT"), 142 exp.DateTrunc: lambda self, e: self.func("TRUNC", e.this, e.args.get("unit")), 143 exp.Hint: lambda self, e: f" /*+ {self.expressions(e).strip()} */", 144 exp.StrToDate: _str_to_date, 145 exp.StrToTime: lambda self, e: f"TO_TIMESTAMP({self.sql(e, 'this')}, {self.format_time(e)})", 146 exp.UnixToTime: _unix_to_time, 147 exp.Create: _create_sql, 148 exp.Map: _map_sql, 149 exp.Reduce: rename_func("AGGREGATE"), 150 exp.StructKwarg: lambda self, e: f"{self.sql(e, 'this')}: {self.sql(e, 'expression')}", 151 exp.TimestampTrunc: lambda self, e: self.func( 152 "DATE_TRUNC", exp.Literal.string(e.text("unit")), e.this 153 ), 154 exp.Trim: trim_sql, 155 exp.VariancePop: rename_func("VAR_POP"), 156 exp.DateFromParts: rename_func("MAKE_DATE"), 157 exp.LogicalOr: rename_func("BOOL_OR"), 158 exp.DayOfWeek: rename_func("DAYOFWEEK"), 159 exp.DayOfMonth: rename_func("DAYOFMONTH"), 160 exp.DayOfYear: rename_func("DAYOFYEAR"), 161 exp.WeekOfYear: rename_func("WEEKOFYEAR"), 162 exp.AtTimeZone: lambda self, e: f"FROM_UTC_TIMESTAMP({self.sql(e, 'this')}, {self.sql(e, 'zone')})", 163 } 164 TRANSFORMS.pop(exp.ArraySort) 165 TRANSFORMS.pop(exp.ILike) 166 167 WRAP_DERIVED_VALUES = False 168 CREATE_FUNCTION_RETURN_AS = False 169 170 def cast_sql(self, expression: exp.Cast) -> str: 171 if isinstance(expression.this, exp.Cast) and expression.this.is_type( 172 exp.DataType.Type.JSON 173 ): 174 schema = f"'{self.sql(expression, 'to')}'" 175 return self.func("FROM_JSON", expression.this.this, schema) 176 if expression.to.is_type(exp.DataType.Type.JSON): 177 return self.func("TO_JSON", expression.this) 178 179 return super(Spark.Generator, self).cast_sql(expression)
Generator interprets the given syntax tree and produces a SQL string as an output.
Arguments:
- time_mapping (dict): the dictionary of custom time mappings in which the key represents a python time format and the output the target time format
- time_trie (trie): a trie of the time_mapping keys
- pretty (bool): if set to True the returned string will be formatted. Default: False.
- quote_start (str): specifies which starting character to use to delimit quotes. Default: '.
- quote_end (str): specifies which ending character to use to delimit quotes. Default: '.
- identifier_start (str): specifies which starting character to use to delimit identifiers. Default: ".
- identifier_end (str): specifies which ending character to use to delimit identifiers. Default: ".
- identify (bool): if set to True all identifiers will be delimited by the corresponding character.
- normalize (bool): if set to True all identifiers will lower cased
- string_escape (str): specifies a string escape character. Default: '.
- identifier_escape (str): specifies an identifier escape character. Default: ".
- pad (int): determines padding in a formatted string. Default: 2.
- indent (int): determines the size of indentation in a formatted string. Default: 4.
- unnest_column_only (bool): if true unnest table aliases are considered only as column aliases
- normalize_functions (str): normalize function names, "upper", "lower", or None Default: "upper"
- alias_post_tablesample (bool): if the table alias comes after tablesample Default: False
- unsupported_level (ErrorLevel): determines the generator's behavior when it encounters unsupported expressions. Default ErrorLevel.WARN.
- null_ordering (str): Indicates the default null ordering method to use if not explicitly set. Options are "nulls_are_small", "nulls_are_large", "nulls_are_last". Default: "nulls_are_small"
- max_unsupported (int): 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 (bool): if the the comma is leading or trailing in select statements 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
170 def cast_sql(self, expression: exp.Cast) -> str: 171 if isinstance(expression.this, exp.Cast) and expression.this.is_type( 172 exp.DataType.Type.JSON 173 ): 174 schema = f"'{self.sql(expression, 'to')}'" 175 return self.func("FROM_JSON", expression.this.this, schema) 176 if expression.to.is_type(exp.DataType.Type.JSON): 177 return self.func("TO_JSON", expression.this) 178 179 return super(Spark.Generator, self).cast_sql(expression)
Inherited Members
- sqlglot.generator.Generator
- Generator
- generate
- unsupported
- sep
- seg
- pad_comment
- maybe_comment
- wrap
- no_identify
- normalize_func
- indent
- sql
- uncache_sql
- cache_sql
- characterset_sql
- column_sql
- columndef_sql
- columnconstraint_sql
- autoincrementcolumnconstraint_sql
- generatedasidentitycolumnconstraint_sql
- notnullcolumnconstraint_sql
- primarykeycolumnconstraint_sql
- uniquecolumnconstraint_sql
- create_sql
- describe_sql
- prepend_ctes
- with_sql
- cte_sql
- tablealias_sql
- bitstring_sql
- hexstring_sql
- directory_sql
- delete_sql
- drop_sql
- except_sql
- except_op
- fetch_sql
- filter_sql
- hint_sql
- index_sql
- identifier_sql
- national_sql
- partition_sql
- properties_sql
- root_properties
- properties
- locate_properties
- property_sql
- likeproperty_sql
- fallbackproperty_sql
- journalproperty_sql
- freespaceproperty_sql
- afterjournalproperty_sql
- checksumproperty_sql
- mergeblockratioproperty_sql
- datablocksizeproperty_sql
- blockcompressionproperty_sql
- isolatedloadingproperty_sql
- lockingproperty_sql
- insert_sql
- intersect_sql
- intersect_op
- introducer_sql
- pseudotype_sql
- rowformatdelimitedproperty_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
- lock_sql
- literal_sql
- loaddata_sql
- null_sql
- boolean_sql
- order_sql
- cluster_sql
- distribute_sql
- sort_sql
- ordered_sql
- matchrecognize_sql
- query_modifiers
- select_sql
- schema_sql
- star_sql
- structkwarg_sql
- parameter_sql
- sessionparameter_sql
- placeholder_sql
- subquery_sql
- qualify_sql
- union_sql
- union_op
- unnest_sql
- where_sql
- window_sql
- partition_by_sql
- window_spec_sql
- withingroup_sql
- between_sql
- bracket_sql
- all_sql
- any_sql
- exists_sql
- case_sql
- constraint_sql
- extract_sql
- trim_sql
- concat_sql
- check_sql
- foreignkey_sql
- primarykey_sql
- unique_sql
- if_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
- connector_sql
- bitwiseand_sql
- bitwiseleftshift_sql
- bitwisenot_sql
- bitwiseor_sql
- bitwiserightshift_sql
- bitwisexor_sql
- currentdate_sql
- collate_sql
- command_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
- div_sql
- distance_sql
- dot_sql
- eq_sql
- escape_sql
- glob_sql
- gt_sql
- gte_sql
- ilike_sql
- is_sql
- like_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