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