sqlglot.dialects.redshift
1from __future__ import annotations 2 3import typing as t 4 5from sqlglot import exp, transforms 6from sqlglot.dialects.dialect import rename_func 7from sqlglot.dialects.postgres import Postgres 8from sqlglot.helper import seq_get 9from sqlglot.tokens import TokenType 10 11 12class Redshift(Postgres): 13 time_format = "'YYYY-MM-DD HH:MI:SS'" 14 time_mapping = { 15 **Postgres.time_mapping, # type: ignore 16 "MON": "%b", 17 "HH": "%H", 18 } 19 20 class Parser(Postgres.Parser): 21 FUNCTIONS = { 22 **Postgres.Parser.FUNCTIONS, # type: ignore 23 "DATEDIFF": lambda args: exp.DateDiff( 24 this=seq_get(args, 2), 25 expression=seq_get(args, 1), 26 unit=seq_get(args, 0), 27 ), 28 "DECODE": exp.Matches.from_arg_list, 29 "NVL": exp.Coalesce.from_arg_list, 30 } 31 32 CONVERT_TYPE_FIRST = True 33 34 def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]: 35 this = super()._parse_types(check_func=check_func) 36 37 if ( 38 isinstance(this, exp.DataType) 39 and this.this == exp.DataType.Type.VARCHAR 40 and this.expressions 41 and this.expressions[0] == exp.column("MAX") 42 ): 43 this.set("expressions", [exp.Var(this="MAX")]) 44 45 return this 46 47 class Tokenizer(Postgres.Tokenizer): 48 STRING_ESCAPES = ["\\"] 49 50 KEYWORDS = { 51 **Postgres.Tokenizer.KEYWORDS, # type: ignore 52 "GEOMETRY": TokenType.GEOMETRY, 53 "GEOGRAPHY": TokenType.GEOGRAPHY, 54 "HLLSKETCH": TokenType.HLLSKETCH, 55 "SUPER": TokenType.SUPER, 56 "TIME": TokenType.TIMESTAMP, 57 "TIMETZ": TokenType.TIMESTAMPTZ, 58 "TOP": TokenType.TOP, 59 "UNLOAD": TokenType.COMMAND, 60 "VARBYTE": TokenType.VARBINARY, 61 } 62 63 class Generator(Postgres.Generator): 64 TYPE_MAPPING = { 65 **Postgres.Generator.TYPE_MAPPING, # type: ignore 66 exp.DataType.Type.BINARY: "VARBYTE", 67 exp.DataType.Type.VARBINARY: "VARBYTE", 68 exp.DataType.Type.INT: "INTEGER", 69 } 70 71 PROPERTIES_LOCATION = { 72 **Postgres.Generator.PROPERTIES_LOCATION, # type: ignore 73 exp.LikeProperty: exp.Properties.Location.POST_WITH, 74 } 75 76 TRANSFORMS = { 77 **Postgres.Generator.TRANSFORMS, # type: ignore 78 **transforms.ELIMINATE_DISTINCT_ON, # type: ignore 79 exp.DateDiff: lambda self, e: self.func( 80 "DATEDIFF", e.args.get("unit") or "day", e.expression, e.this 81 ), 82 exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})", 83 exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})", 84 exp.DistStyleProperty: lambda self, e: self.naked_property(e), 85 exp.Matches: rename_func("DECODE"), 86 } 87 88 def values_sql(self, expression: exp.Values) -> str: 89 """ 90 Converts `VALUES...` expression into a series of unions. 91 92 Note: If you have a lot of unions then this will result in a large number of recursive statements to 93 evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be 94 very slow. 95 """ 96 if not isinstance(expression.unnest().parent, exp.From): 97 return super().values_sql(expression) 98 rows = [tuple_exp.expressions for tuple_exp in expression.expressions] 99 selects = [] 100 for i, row in enumerate(rows): 101 if i == 0 and expression.alias: 102 row = [ 103 exp.alias_(value, column_name) 104 for value, column_name in zip(row, expression.args["alias"].args["columns"]) 105 ] 106 selects.append(exp.Select(expressions=row)) 107 subquery_expression = selects[0] 108 if len(selects) > 1: 109 for select in selects[1:]: 110 subquery_expression = exp.union(subquery_expression, select, distinct=False) 111 return self.subquery_sql(subquery_expression.subquery(expression.alias)) 112 113 def with_properties(self, properties: exp.Properties) -> str: 114 """Redshift doesn't have `WITH` as part of their with_properties so we remove it""" 115 return self.properties(properties, prefix=" ", suffix="") 116 117 def renametable_sql(self, expression: exp.RenameTable) -> str: 118 """Redshift only supports defining the table name itself (not the db) when renaming tables""" 119 expression = expression.copy() 120 target_table = expression.this 121 for arg in target_table.args: 122 if arg != "this": 123 target_table.set(arg, None) 124 this = self.sql(expression, "this") 125 return f"RENAME TO {this}" 126 127 def datatype_sql(self, expression: exp.DataType) -> str: 128 """ 129 Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean 130 VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type 131 without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert 132 `TEXT` to `VARCHAR`. 133 """ 134 if expression.this == exp.DataType.Type.TEXT: 135 expression = expression.copy() 136 expression.set("this", exp.DataType.Type.VARCHAR) 137 precision = expression.args.get("expressions") 138 if not precision: 139 expression.append("expressions", exp.Var(this="MAX")) 140 return super().datatype_sql(expression)
13class Redshift(Postgres): 14 time_format = "'YYYY-MM-DD HH:MI:SS'" 15 time_mapping = { 16 **Postgres.time_mapping, # type: ignore 17 "MON": "%b", 18 "HH": "%H", 19 } 20 21 class Parser(Postgres.Parser): 22 FUNCTIONS = { 23 **Postgres.Parser.FUNCTIONS, # type: ignore 24 "DATEDIFF": lambda args: exp.DateDiff( 25 this=seq_get(args, 2), 26 expression=seq_get(args, 1), 27 unit=seq_get(args, 0), 28 ), 29 "DECODE": exp.Matches.from_arg_list, 30 "NVL": exp.Coalesce.from_arg_list, 31 } 32 33 CONVERT_TYPE_FIRST = True 34 35 def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]: 36 this = super()._parse_types(check_func=check_func) 37 38 if ( 39 isinstance(this, exp.DataType) 40 and this.this == exp.DataType.Type.VARCHAR 41 and this.expressions 42 and this.expressions[0] == exp.column("MAX") 43 ): 44 this.set("expressions", [exp.Var(this="MAX")]) 45 46 return this 47 48 class Tokenizer(Postgres.Tokenizer): 49 STRING_ESCAPES = ["\\"] 50 51 KEYWORDS = { 52 **Postgres.Tokenizer.KEYWORDS, # type: ignore 53 "GEOMETRY": TokenType.GEOMETRY, 54 "GEOGRAPHY": TokenType.GEOGRAPHY, 55 "HLLSKETCH": TokenType.HLLSKETCH, 56 "SUPER": TokenType.SUPER, 57 "TIME": TokenType.TIMESTAMP, 58 "TIMETZ": TokenType.TIMESTAMPTZ, 59 "TOP": TokenType.TOP, 60 "UNLOAD": TokenType.COMMAND, 61 "VARBYTE": TokenType.VARBINARY, 62 } 63 64 class Generator(Postgres.Generator): 65 TYPE_MAPPING = { 66 **Postgres.Generator.TYPE_MAPPING, # type: ignore 67 exp.DataType.Type.BINARY: "VARBYTE", 68 exp.DataType.Type.VARBINARY: "VARBYTE", 69 exp.DataType.Type.INT: "INTEGER", 70 } 71 72 PROPERTIES_LOCATION = { 73 **Postgres.Generator.PROPERTIES_LOCATION, # type: ignore 74 exp.LikeProperty: exp.Properties.Location.POST_WITH, 75 } 76 77 TRANSFORMS = { 78 **Postgres.Generator.TRANSFORMS, # type: ignore 79 **transforms.ELIMINATE_DISTINCT_ON, # type: ignore 80 exp.DateDiff: lambda self, e: self.func( 81 "DATEDIFF", e.args.get("unit") or "day", e.expression, e.this 82 ), 83 exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})", 84 exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})", 85 exp.DistStyleProperty: lambda self, e: self.naked_property(e), 86 exp.Matches: rename_func("DECODE"), 87 } 88 89 def values_sql(self, expression: exp.Values) -> str: 90 """ 91 Converts `VALUES...` expression into a series of unions. 92 93 Note: If you have a lot of unions then this will result in a large number of recursive statements to 94 evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be 95 very slow. 96 """ 97 if not isinstance(expression.unnest().parent, exp.From): 98 return super().values_sql(expression) 99 rows = [tuple_exp.expressions for tuple_exp in expression.expressions] 100 selects = [] 101 for i, row in enumerate(rows): 102 if i == 0 and expression.alias: 103 row = [ 104 exp.alias_(value, column_name) 105 for value, column_name in zip(row, expression.args["alias"].args["columns"]) 106 ] 107 selects.append(exp.Select(expressions=row)) 108 subquery_expression = selects[0] 109 if len(selects) > 1: 110 for select in selects[1:]: 111 subquery_expression = exp.union(subquery_expression, select, distinct=False) 112 return self.subquery_sql(subquery_expression.subquery(expression.alias)) 113 114 def with_properties(self, properties: exp.Properties) -> str: 115 """Redshift doesn't have `WITH` as part of their with_properties so we remove it""" 116 return self.properties(properties, prefix=" ", suffix="") 117 118 def renametable_sql(self, expression: exp.RenameTable) -> str: 119 """Redshift only supports defining the table name itself (not the db) when renaming tables""" 120 expression = expression.copy() 121 target_table = expression.this 122 for arg in target_table.args: 123 if arg != "this": 124 target_table.set(arg, None) 125 this = self.sql(expression, "this") 126 return f"RENAME TO {this}" 127 128 def datatype_sql(self, expression: exp.DataType) -> str: 129 """ 130 Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean 131 VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type 132 without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert 133 `TEXT` to `VARCHAR`. 134 """ 135 if expression.this == exp.DataType.Type.TEXT: 136 expression = expression.copy() 137 expression.set("this", exp.DataType.Type.VARCHAR) 138 precision = expression.args.get("expressions") 139 if not precision: 140 expression.append("expressions", exp.Var(this="MAX")) 141 return super().datatype_sql(expression)
Inherited Members
21 class Parser(Postgres.Parser): 22 FUNCTIONS = { 23 **Postgres.Parser.FUNCTIONS, # type: ignore 24 "DATEDIFF": lambda args: exp.DateDiff( 25 this=seq_get(args, 2), 26 expression=seq_get(args, 1), 27 unit=seq_get(args, 0), 28 ), 29 "DECODE": exp.Matches.from_arg_list, 30 "NVL": exp.Coalesce.from_arg_list, 31 } 32 33 CONVERT_TYPE_FIRST = True 34 35 def _parse_types(self, check_func: bool = False) -> t.Optional[exp.Expression]: 36 this = super()._parse_types(check_func=check_func) 37 38 if ( 39 isinstance(this, exp.DataType) 40 and this.this == exp.DataType.Type.VARCHAR 41 and this.expressions 42 and this.expressions[0] == exp.column("MAX") 43 ): 44 this.set("expressions", [exp.Var(this="MAX")]) 45 46 return this
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
48 class Tokenizer(Postgres.Tokenizer): 49 STRING_ESCAPES = ["\\"] 50 51 KEYWORDS = { 52 **Postgres.Tokenizer.KEYWORDS, # type: ignore 53 "GEOMETRY": TokenType.GEOMETRY, 54 "GEOGRAPHY": TokenType.GEOGRAPHY, 55 "HLLSKETCH": TokenType.HLLSKETCH, 56 "SUPER": TokenType.SUPER, 57 "TIME": TokenType.TIMESTAMP, 58 "TIMETZ": TokenType.TIMESTAMPTZ, 59 "TOP": TokenType.TOP, 60 "UNLOAD": TokenType.COMMAND, 61 "VARBYTE": TokenType.VARBINARY, 62 }
Inherited Members
64 class Generator(Postgres.Generator): 65 TYPE_MAPPING = { 66 **Postgres.Generator.TYPE_MAPPING, # type: ignore 67 exp.DataType.Type.BINARY: "VARBYTE", 68 exp.DataType.Type.VARBINARY: "VARBYTE", 69 exp.DataType.Type.INT: "INTEGER", 70 } 71 72 PROPERTIES_LOCATION = { 73 **Postgres.Generator.PROPERTIES_LOCATION, # type: ignore 74 exp.LikeProperty: exp.Properties.Location.POST_WITH, 75 } 76 77 TRANSFORMS = { 78 **Postgres.Generator.TRANSFORMS, # type: ignore 79 **transforms.ELIMINATE_DISTINCT_ON, # type: ignore 80 exp.DateDiff: lambda self, e: self.func( 81 "DATEDIFF", e.args.get("unit") or "day", e.expression, e.this 82 ), 83 exp.DistKeyProperty: lambda self, e: f"DISTKEY({e.name})", 84 exp.SortKeyProperty: lambda self, e: f"{'COMPOUND ' if e.args['compound'] else ''}SORTKEY({self.format_args(*e.this)})", 85 exp.DistStyleProperty: lambda self, e: self.naked_property(e), 86 exp.Matches: rename_func("DECODE"), 87 } 88 89 def values_sql(self, expression: exp.Values) -> str: 90 """ 91 Converts `VALUES...` expression into a series of unions. 92 93 Note: If you have a lot of unions then this will result in a large number of recursive statements to 94 evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be 95 very slow. 96 """ 97 if not isinstance(expression.unnest().parent, exp.From): 98 return super().values_sql(expression) 99 rows = [tuple_exp.expressions for tuple_exp in expression.expressions] 100 selects = [] 101 for i, row in enumerate(rows): 102 if i == 0 and expression.alias: 103 row = [ 104 exp.alias_(value, column_name) 105 for value, column_name in zip(row, expression.args["alias"].args["columns"]) 106 ] 107 selects.append(exp.Select(expressions=row)) 108 subquery_expression = selects[0] 109 if len(selects) > 1: 110 for select in selects[1:]: 111 subquery_expression = exp.union(subquery_expression, select, distinct=False) 112 return self.subquery_sql(subquery_expression.subquery(expression.alias)) 113 114 def with_properties(self, properties: exp.Properties) -> str: 115 """Redshift doesn't have `WITH` as part of their with_properties so we remove it""" 116 return self.properties(properties, prefix=" ", suffix="") 117 118 def renametable_sql(self, expression: exp.RenameTable) -> str: 119 """Redshift only supports defining the table name itself (not the db) when renaming tables""" 120 expression = expression.copy() 121 target_table = expression.this 122 for arg in target_table.args: 123 if arg != "this": 124 target_table.set(arg, None) 125 this = self.sql(expression, "this") 126 return f"RENAME TO {this}" 127 128 def datatype_sql(self, expression: exp.DataType) -> str: 129 """ 130 Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean 131 VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type 132 without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert 133 `TEXT` to `VARCHAR`. 134 """ 135 if expression.this == exp.DataType.Type.TEXT: 136 expression = expression.copy() 137 expression.set("this", exp.DataType.Type.VARCHAR) 138 precision = expression.args.get("expressions") 139 if not precision: 140 expression.append("expressions", exp.Var(this="MAX")) 141 return super().datatype_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
89 def values_sql(self, expression: exp.Values) -> str: 90 """ 91 Converts `VALUES...` expression into a series of unions. 92 93 Note: If you have a lot of unions then this will result in a large number of recursive statements to 94 evaluate the expression. You may need to increase `sys.setrecursionlimit` to run and it can also be 95 very slow. 96 """ 97 if not isinstance(expression.unnest().parent, exp.From): 98 return super().values_sql(expression) 99 rows = [tuple_exp.expressions for tuple_exp in expression.expressions] 100 selects = [] 101 for i, row in enumerate(rows): 102 if i == 0 and expression.alias: 103 row = [ 104 exp.alias_(value, column_name) 105 for value, column_name in zip(row, expression.args["alias"].args["columns"]) 106 ] 107 selects.append(exp.Select(expressions=row)) 108 subquery_expression = selects[0] 109 if len(selects) > 1: 110 for select in selects[1:]: 111 subquery_expression = exp.union(subquery_expression, select, distinct=False) 112 return self.subquery_sql(subquery_expression.subquery(expression.alias))
Converts VALUES...
expression into a series of unions.
Note: If you have a lot of unions then this will result in a large number of recursive statements to
evaluate the expression. You may need to increase sys.setrecursionlimit
to run and it can also be
very slow.
114 def with_properties(self, properties: exp.Properties) -> str: 115 """Redshift doesn't have `WITH` as part of their with_properties so we remove it""" 116 return self.properties(properties, prefix=" ", suffix="")
Redshift doesn't have WITH
as part of their with_properties so we remove it
118 def renametable_sql(self, expression: exp.RenameTable) -> str: 119 """Redshift only supports defining the table name itself (not the db) when renaming tables""" 120 expression = expression.copy() 121 target_table = expression.this 122 for arg in target_table.args: 123 if arg != "this": 124 target_table.set(arg, None) 125 this = self.sql(expression, "this") 126 return f"RENAME TO {this}"
Redshift only supports defining the table name itself (not the db) when renaming tables
128 def datatype_sql(self, expression: exp.DataType) -> str: 129 """ 130 Redshift converts the `TEXT` data type to `VARCHAR(255)` by default when people more generally mean 131 VARCHAR of max length which is `VARCHAR(max)` in Redshift. Therefore if we get a `TEXT` data type 132 without precision we convert it to `VARCHAR(max)` and if it does have precision then we just convert 133 `TEXT` to `VARCHAR`. 134 """ 135 if expression.this == exp.DataType.Type.TEXT: 136 expression = expression.copy() 137 expression.set("this", exp.DataType.Type.VARCHAR) 138 precision = expression.args.get("expressions") 139 if not precision: 140 expression.append("expressions", exp.Var(this="MAX")) 141 return super().datatype_sql(expression)
Redshift converts the TEXT
data type to VARCHAR(255)
by default when people more generally mean
VARCHAR of max length which is VARCHAR(max)
in Redshift. Therefore if we get a TEXT
data type
without precision we convert it to VARCHAR(max)
and if it does have precision then we just convert
TEXT
to VARCHAR
.
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
- compresscolumnconstraint_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
- withdataproperty_sql
- insert_sql
- intersect_sql
- intersect_op
- introducer_sql
- pseudotype_sql
- returning_sql
- rowformatdelimitedproperty_sql
- table_sql
- tablesample_sql
- pivot_sql
- tuple_sql
- update_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
- cast_sql
- currentdate_sql
- collate_sql
- command_sql
- comment_sql
- transaction_sql
- commit_sql
- rollback_sql
- altercolumn_sql
- altertable_sql
- droppartition_sql
- addconstraint_sql
- distinct_sql
- ignorenulls_sql
- respectnulls_sql
- intdiv_sql
- dpipe_sql
- div_sql
- floatdiv_sql
- overlaps_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