sqlglot.dialects.duckdb
1from __future__ import annotations 2 3from sqlglot import exp, generator, parser, tokens 4from sqlglot.dialects.dialect import ( 5 Dialect, 6 approx_count_distinct_sql, 7 arrow_json_extract_scalar_sql, 8 arrow_json_extract_sql, 9 datestrtodate_sql, 10 format_time_lambda, 11 no_pivot_sql, 12 no_properties_sql, 13 no_safe_divide_sql, 14 no_tablesample_sql, 15 rename_func, 16 str_position_sql, 17 timestrtotime_sql, 18) 19from sqlglot.helper import seq_get 20from sqlglot.tokens import TokenType 21 22 23def _str_to_time_sql(self, expression): 24 return f"STRPTIME({self.sql(expression, 'this')}, {self.format_time(expression)})" 25 26 27def _ts_or_ds_add(self, expression): 28 this = expression.args.get("this") 29 unit = self.sql(expression, "unit").strip("'") or "DAY" 30 return f"CAST({this} AS DATE) + {self.sql(exp.Interval(this=expression.expression, unit=unit))}" 31 32 33def _ts_or_ds_to_date_sql(self, expression): 34 time_format = self.format_time(expression) 35 if time_format and time_format not in (DuckDB.time_format, DuckDB.date_format): 36 return f"CAST({_str_to_time_sql(self, expression)} AS DATE)" 37 return f"CAST({self.sql(expression, 'this')} AS DATE)" 38 39 40def _date_add(self, expression): 41 this = self.sql(expression, "this") 42 unit = self.sql(expression, "unit").strip("'") or "DAY" 43 return f"{this} + {self.sql(exp.Interval(this=expression.expression, unit=unit))}" 44 45 46def _array_sort_sql(self, expression): 47 if expression.expression: 48 self.unsupported("DUCKDB ARRAY_SORT does not support a comparator") 49 return f"ARRAY_SORT({self.sql(expression, 'this')})" 50 51 52def _sort_array_sql(self, expression): 53 this = self.sql(expression, "this") 54 if expression.args.get("asc") == exp.false(): 55 return f"ARRAY_REVERSE_SORT({this})" 56 return f"ARRAY_SORT({this})" 57 58 59def _sort_array_reverse(args): 60 return exp.SortArray(this=seq_get(args, 0), asc=exp.false()) 61 62 63def _struct_sql(self, expression): 64 args = [ 65 f"'{e.name or e.this.name}': {self.sql(e, 'expression')}" for e in expression.expressions 66 ] 67 return f"{{{', '.join(args)}}}" 68 69 70def _datatype_sql(self, expression): 71 if expression.this == exp.DataType.Type.ARRAY: 72 return f"{self.expressions(expression, flat=True)}[]" 73 return self.datatype_sql(expression) 74 75 76def _regexp_extract_sql(self, expression): 77 bad_args = list(filter(expression.args.get, ("position", "occurrence"))) 78 if bad_args: 79 self.unsupported(f"REGEXP_EXTRACT does not support arg(s) {bad_args}") 80 return self.func( 81 "REGEXP_EXTRACT", 82 expression.args.get("this"), 83 expression.args.get("expression"), 84 expression.args.get("group"), 85 ) 86 87 88class DuckDB(Dialect): 89 class Tokenizer(tokens.Tokenizer): 90 KEYWORDS = { 91 **tokens.Tokenizer.KEYWORDS, 92 ":=": TokenType.EQ, 93 "ATTACH": TokenType.COMMAND, 94 "CHARACTER VARYING": TokenType.VARCHAR, 95 } 96 97 class Parser(parser.Parser): 98 FUNCTIONS = { 99 **parser.Parser.FUNCTIONS, # type: ignore 100 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, 101 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, 102 "ARRAY_SORT": exp.SortArray.from_arg_list, 103 "ARRAY_REVERSE_SORT": _sort_array_reverse, 104 "EPOCH": exp.TimeToUnix.from_arg_list, 105 "EPOCH_MS": lambda args: exp.UnixToTime( 106 this=exp.Div( 107 this=seq_get(args, 0), 108 expression=exp.Literal.number(1000), 109 ) 110 ), 111 "LIST_SORT": exp.SortArray.from_arg_list, 112 "LIST_REVERSE_SORT": _sort_array_reverse, 113 "LIST_VALUE": exp.Array.from_arg_list, 114 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, 115 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), 116 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), 117 "STR_SPLIT": exp.Split.from_arg_list, 118 "STRING_SPLIT": exp.Split.from_arg_list, 119 "STRING_TO_ARRAY": exp.Split.from_arg_list, 120 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, 121 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, 122 "STRUCT_PACK": exp.Struct.from_arg_list, 123 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, 124 "UNNEST": exp.Explode.from_arg_list, 125 } 126 127 class Generator(generator.Generator): 128 STRUCT_DELIMITER = ("(", ")") 129 130 TRANSFORMS = { 131 **generator.Generator.TRANSFORMS, # type: ignore 132 exp.ApproxDistinct: approx_count_distinct_sql, 133 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) 134 if isinstance(seq_get(e.expressions, 0), exp.Select) 135 else rename_func("LIST_VALUE")(self, e), 136 exp.ArraySize: rename_func("ARRAY_LENGTH"), 137 exp.ArraySort: _array_sort_sql, 138 exp.ArraySum: rename_func("LIST_SUM"), 139 exp.DataType: _datatype_sql, 140 exp.DateAdd: _date_add, 141 exp.DateDiff: lambda self, e: self.func( 142 "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this 143 ), 144 exp.DateStrToDate: datestrtodate_sql, 145 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", 146 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", 147 exp.Explode: rename_func("UNNEST"), 148 exp.JSONExtract: arrow_json_extract_sql, 149 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, 150 exp.JSONBExtract: arrow_json_extract_sql, 151 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, 152 exp.LogicalOr: rename_func("BOOL_OR"), 153 exp.Pivot: no_pivot_sql, 154 exp.Properties: no_properties_sql, 155 exp.RegexpExtract: _regexp_extract_sql, 156 exp.RegexpLike: rename_func("REGEXP_MATCHES"), 157 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), 158 exp.SafeDivide: no_safe_divide_sql, 159 exp.Split: rename_func("STR_SPLIT"), 160 exp.SortArray: _sort_array_sql, 161 exp.StrPosition: str_position_sql, 162 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", 163 exp.StrToTime: _str_to_time_sql, 164 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", 165 exp.Struct: _struct_sql, 166 exp.TableSample: no_tablesample_sql, 167 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", 168 exp.TimeStrToTime: timestrtotime_sql, 169 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", 170 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", 171 exp.TimeToUnix: rename_func("EPOCH"), 172 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", 173 exp.TsOrDsAdd: _ts_or_ds_add, 174 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, 175 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", 176 exp.UnixToTime: rename_func("TO_TIMESTAMP"), 177 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", 178 } 179 180 TYPE_MAPPING = { 181 **generator.Generator.TYPE_MAPPING, # type: ignore 182 exp.DataType.Type.VARCHAR: "TEXT", 183 exp.DataType.Type.NVARCHAR: "TEXT", 184 }
89class DuckDB(Dialect): 90 class Tokenizer(tokens.Tokenizer): 91 KEYWORDS = { 92 **tokens.Tokenizer.KEYWORDS, 93 ":=": TokenType.EQ, 94 "ATTACH": TokenType.COMMAND, 95 "CHARACTER VARYING": TokenType.VARCHAR, 96 } 97 98 class Parser(parser.Parser): 99 FUNCTIONS = { 100 **parser.Parser.FUNCTIONS, # type: ignore 101 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, 102 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, 103 "ARRAY_SORT": exp.SortArray.from_arg_list, 104 "ARRAY_REVERSE_SORT": _sort_array_reverse, 105 "EPOCH": exp.TimeToUnix.from_arg_list, 106 "EPOCH_MS": lambda args: exp.UnixToTime( 107 this=exp.Div( 108 this=seq_get(args, 0), 109 expression=exp.Literal.number(1000), 110 ) 111 ), 112 "LIST_SORT": exp.SortArray.from_arg_list, 113 "LIST_REVERSE_SORT": _sort_array_reverse, 114 "LIST_VALUE": exp.Array.from_arg_list, 115 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, 116 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), 117 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), 118 "STR_SPLIT": exp.Split.from_arg_list, 119 "STRING_SPLIT": exp.Split.from_arg_list, 120 "STRING_TO_ARRAY": exp.Split.from_arg_list, 121 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, 122 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, 123 "STRUCT_PACK": exp.Struct.from_arg_list, 124 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, 125 "UNNEST": exp.Explode.from_arg_list, 126 } 127 128 class Generator(generator.Generator): 129 STRUCT_DELIMITER = ("(", ")") 130 131 TRANSFORMS = { 132 **generator.Generator.TRANSFORMS, # type: ignore 133 exp.ApproxDistinct: approx_count_distinct_sql, 134 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) 135 if isinstance(seq_get(e.expressions, 0), exp.Select) 136 else rename_func("LIST_VALUE")(self, e), 137 exp.ArraySize: rename_func("ARRAY_LENGTH"), 138 exp.ArraySort: _array_sort_sql, 139 exp.ArraySum: rename_func("LIST_SUM"), 140 exp.DataType: _datatype_sql, 141 exp.DateAdd: _date_add, 142 exp.DateDiff: lambda self, e: self.func( 143 "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this 144 ), 145 exp.DateStrToDate: datestrtodate_sql, 146 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", 147 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", 148 exp.Explode: rename_func("UNNEST"), 149 exp.JSONExtract: arrow_json_extract_sql, 150 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, 151 exp.JSONBExtract: arrow_json_extract_sql, 152 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, 153 exp.LogicalOr: rename_func("BOOL_OR"), 154 exp.Pivot: no_pivot_sql, 155 exp.Properties: no_properties_sql, 156 exp.RegexpExtract: _regexp_extract_sql, 157 exp.RegexpLike: rename_func("REGEXP_MATCHES"), 158 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), 159 exp.SafeDivide: no_safe_divide_sql, 160 exp.Split: rename_func("STR_SPLIT"), 161 exp.SortArray: _sort_array_sql, 162 exp.StrPosition: str_position_sql, 163 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", 164 exp.StrToTime: _str_to_time_sql, 165 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", 166 exp.Struct: _struct_sql, 167 exp.TableSample: no_tablesample_sql, 168 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", 169 exp.TimeStrToTime: timestrtotime_sql, 170 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", 171 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", 172 exp.TimeToUnix: rename_func("EPOCH"), 173 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", 174 exp.TsOrDsAdd: _ts_or_ds_add, 175 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, 176 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", 177 exp.UnixToTime: rename_func("TO_TIMESTAMP"), 178 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", 179 } 180 181 TYPE_MAPPING = { 182 **generator.Generator.TYPE_MAPPING, # type: ignore 183 exp.DataType.Type.VARCHAR: "TEXT", 184 exp.DataType.Type.NVARCHAR: "TEXT", 185 }
Inherited Members
90 class Tokenizer(tokens.Tokenizer): 91 KEYWORDS = { 92 **tokens.Tokenizer.KEYWORDS, 93 ":=": TokenType.EQ, 94 "ATTACH": TokenType.COMMAND, 95 "CHARACTER VARYING": TokenType.VARCHAR, 96 }
Inherited Members
98 class Parser(parser.Parser): 99 FUNCTIONS = { 100 **parser.Parser.FUNCTIONS, # type: ignore 101 "APPROX_COUNT_DISTINCT": exp.ApproxDistinct.from_arg_list, 102 "ARRAY_LENGTH": exp.ArraySize.from_arg_list, 103 "ARRAY_SORT": exp.SortArray.from_arg_list, 104 "ARRAY_REVERSE_SORT": _sort_array_reverse, 105 "EPOCH": exp.TimeToUnix.from_arg_list, 106 "EPOCH_MS": lambda args: exp.UnixToTime( 107 this=exp.Div( 108 this=seq_get(args, 0), 109 expression=exp.Literal.number(1000), 110 ) 111 ), 112 "LIST_SORT": exp.SortArray.from_arg_list, 113 "LIST_REVERSE_SORT": _sort_array_reverse, 114 "LIST_VALUE": exp.Array.from_arg_list, 115 "REGEXP_MATCHES": exp.RegexpLike.from_arg_list, 116 "STRFTIME": format_time_lambda(exp.TimeToStr, "duckdb"), 117 "STRPTIME": format_time_lambda(exp.StrToTime, "duckdb"), 118 "STR_SPLIT": exp.Split.from_arg_list, 119 "STRING_SPLIT": exp.Split.from_arg_list, 120 "STRING_TO_ARRAY": exp.Split.from_arg_list, 121 "STR_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, 122 "STRING_SPLIT_REGEX": exp.RegexpSplit.from_arg_list, 123 "STRUCT_PACK": exp.Struct.from_arg_list, 124 "TO_TIMESTAMP": exp.UnixToTime.from_arg_list, 125 "UNNEST": exp.Explode.from_arg_list, 126 }
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
128 class Generator(generator.Generator): 129 STRUCT_DELIMITER = ("(", ")") 130 131 TRANSFORMS = { 132 **generator.Generator.TRANSFORMS, # type: ignore 133 exp.ApproxDistinct: approx_count_distinct_sql, 134 exp.Array: lambda self, e: self.func("ARRAY", e.expressions[0]) 135 if isinstance(seq_get(e.expressions, 0), exp.Select) 136 else rename_func("LIST_VALUE")(self, e), 137 exp.ArraySize: rename_func("ARRAY_LENGTH"), 138 exp.ArraySort: _array_sort_sql, 139 exp.ArraySum: rename_func("LIST_SUM"), 140 exp.DataType: _datatype_sql, 141 exp.DateAdd: _date_add, 142 exp.DateDiff: lambda self, e: self.func( 143 "DATE_DIFF", e.args.get("unit") or exp.Literal.string("day"), e.expression, e.this 144 ), 145 exp.DateStrToDate: datestrtodate_sql, 146 exp.DateToDi: lambda self, e: f"CAST(STRFTIME({self.sql(e, 'this')}, {DuckDB.dateint_format}) AS INT)", 147 exp.DiToDate: lambda self, e: f"CAST(STRPTIME(CAST({self.sql(e, 'this')} AS TEXT), {DuckDB.dateint_format}) AS DATE)", 148 exp.Explode: rename_func("UNNEST"), 149 exp.JSONExtract: arrow_json_extract_sql, 150 exp.JSONExtractScalar: arrow_json_extract_scalar_sql, 151 exp.JSONBExtract: arrow_json_extract_sql, 152 exp.JSONBExtractScalar: arrow_json_extract_scalar_sql, 153 exp.LogicalOr: rename_func("BOOL_OR"), 154 exp.Pivot: no_pivot_sql, 155 exp.Properties: no_properties_sql, 156 exp.RegexpExtract: _regexp_extract_sql, 157 exp.RegexpLike: rename_func("REGEXP_MATCHES"), 158 exp.RegexpSplit: rename_func("STR_SPLIT_REGEX"), 159 exp.SafeDivide: no_safe_divide_sql, 160 exp.Split: rename_func("STR_SPLIT"), 161 exp.SortArray: _sort_array_sql, 162 exp.StrPosition: str_position_sql, 163 exp.StrToDate: lambda self, e: f"CAST({_str_to_time_sql(self, e)} AS DATE)", 164 exp.StrToTime: _str_to_time_sql, 165 exp.StrToUnix: lambda self, e: f"EPOCH(STRPTIME({self.sql(e, 'this')}, {self.format_time(e)}))", 166 exp.Struct: _struct_sql, 167 exp.TableSample: no_tablesample_sql, 168 exp.TimeStrToDate: lambda self, e: f"CAST({self.sql(e, 'this')} AS DATE)", 169 exp.TimeStrToTime: timestrtotime_sql, 170 exp.TimeStrToUnix: lambda self, e: f"EPOCH(CAST({self.sql(e, 'this')} AS TIMESTAMP))", 171 exp.TimeToStr: lambda self, e: f"STRFTIME({self.sql(e, 'this')}, {self.format_time(e)})", 172 exp.TimeToUnix: rename_func("EPOCH"), 173 exp.TsOrDiToDi: lambda self, e: f"CAST(SUBSTR(REPLACE(CAST({self.sql(e, 'this')} AS TEXT), '-', ''), 1, 8) AS INT)", 174 exp.TsOrDsAdd: _ts_or_ds_add, 175 exp.TsOrDsToDate: _ts_or_ds_to_date_sql, 176 exp.UnixToStr: lambda self, e: f"STRFTIME(TO_TIMESTAMP({self.sql(e, 'this')}), {self.format_time(e)})", 177 exp.UnixToTime: rename_func("TO_TIMESTAMP"), 178 exp.UnixToTimeStr: lambda self, e: f"CAST(TO_TIMESTAMP({self.sql(e, 'this')}) AS TEXT)", 179 } 180 181 TYPE_MAPPING = { 182 **generator.Generator.TYPE_MAPPING, # type: ignore 183 exp.DataType.Type.VARCHAR: "TEXT", 184 exp.DataType.Type.NVARCHAR: "TEXT", 185 }
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
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
- datatype_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
- with_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
- cast_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