sqlglot.optimizer.qualify_tables
1from __future__ import annotations 2 3import itertools 4import typing as t 5 6from sqlglot import alias, exp 7from sqlglot.dialects.dialect import DialectType 8from sqlglot.helper import csv_reader, name_sequence 9from sqlglot.optimizer.scope import Scope, traverse_scope 10from sqlglot.schema import Schema 11from sqlglot.dialects.dialect import Dialect 12 13if t.TYPE_CHECKING: 14 from sqlglot._typing import E 15 16 17def qualify_tables( 18 expression: E, 19 db: t.Optional[str | exp.Identifier] = None, 20 catalog: t.Optional[str | exp.Identifier] = None, 21 schema: t.Optional[Schema] = None, 22 infer_csv_schemas: bool = False, 23 dialect: DialectType = None, 24) -> E: 25 """ 26 Rewrite sqlglot AST to have fully qualified tables. Join constructs such as 27 (t1 JOIN t2) AS t will be expanded into (SELECT * FROM t1 AS t1, t2 AS t2) AS t. 28 29 Examples: 30 >>> import sqlglot 31 >>> expression = sqlglot.parse_one("SELECT 1 FROM tbl") 32 >>> qualify_tables(expression, db="db").sql() 33 'SELECT 1 FROM db.tbl AS tbl' 34 >>> 35 >>> expression = sqlglot.parse_one("SELECT 1 FROM (t1 JOIN t2) AS t") 36 >>> qualify_tables(expression).sql() 37 'SELECT 1 FROM (SELECT * FROM t1 AS t1, t2 AS t2) AS t' 38 39 Args: 40 expression: Expression to qualify 41 db: Database name 42 catalog: Catalog name 43 schema: A schema to populate 44 infer_csv_schemas: Whether to scan READ_CSV calls in order to infer the CSVs' schemas. 45 dialect: The dialect to parse catalog and schema into. 46 47 Returns: 48 The qualified expression. 49 """ 50 next_alias_name = name_sequence("_q_") 51 db = exp.parse_identifier(db, dialect=dialect) if db else None 52 catalog = exp.parse_identifier(catalog, dialect=dialect) if catalog else None 53 dialect = Dialect.get_or_raise(dialect) 54 55 def _qualify(table: exp.Table) -> None: 56 if isinstance(table.this, exp.Identifier): 57 if not table.args.get("db"): 58 table.set("db", db) 59 if not table.args.get("catalog") and table.args.get("db"): 60 table.set("catalog", catalog) 61 62 if (db or catalog) and not isinstance(expression, exp.Query): 63 for node in expression.walk(prune=lambda n: isinstance(n, exp.Query)): 64 if isinstance(node, exp.Table): 65 _qualify(node) 66 67 for scope in traverse_scope(expression): 68 for derived_table in itertools.chain(scope.ctes, scope.derived_tables): 69 if isinstance(derived_table, exp.Subquery): 70 unnested = derived_table.unnest() 71 if isinstance(unnested, exp.Table): 72 joins = unnested.args.pop("joins", None) 73 derived_table.this.replace(exp.select("*").from_(unnested.copy(), copy=False)) 74 derived_table.this.set("joins", joins) 75 76 if not derived_table.args.get("alias"): 77 alias_ = next_alias_name() 78 derived_table.set("alias", exp.TableAlias(this=exp.to_identifier(alias_))) 79 scope.rename_source(None, alias_) 80 81 pivots = derived_table.args.get("pivots") 82 if pivots and not pivots[0].alias: 83 pivots[0].set("alias", exp.TableAlias(this=exp.to_identifier(next_alias_name()))) 84 85 table_aliases = {} 86 87 for name, source in scope.sources.items(): 88 if isinstance(source, exp.Table): 89 pivots = source.args.get("pivots") 90 if not source.alias: 91 # Don't add the pivot's alias to the pivoted table, use the table's name instead 92 if pivots and pivots[0].alias == name: 93 name = source.name 94 95 # Mutates the source by attaching an alias to it 96 alias(source, name or source.name or next_alias_name(), copy=False, table=True) 97 98 table_aliases[".".join(p.name for p in source.parts)] = exp.to_identifier( 99 source.alias 100 ) 101 102 if pivots: 103 if not pivots[0].alias: 104 pivot_alias = next_alias_name() 105 pivots[0].set("alias", exp.TableAlias(this=exp.to_identifier(pivot_alias))) 106 107 # This case corresponds to a pivoted CTE, we don't want to qualify that 108 if isinstance(scope.sources.get(source.alias_or_name), Scope): 109 continue 110 111 _qualify(source) 112 113 if infer_csv_schemas and schema and isinstance(source.this, exp.ReadCSV): 114 with csv_reader(source.this) as reader: 115 header = next(reader) 116 columns = next(reader) 117 schema.add_table( 118 source, 119 {k: type(v).__name__ for k, v in zip(header, columns)}, 120 match_depth=False, 121 ) 122 elif isinstance(source, Scope) and source.is_udtf: 123 udtf = source.expression 124 table_alias = udtf.args.get("alias") or exp.TableAlias( 125 this=exp.to_identifier(next_alias_name()) 126 ) 127 udtf.set("alias", table_alias) 128 129 if not table_alias.name: 130 table_alias.set("this", exp.to_identifier(next_alias_name())) 131 if isinstance(udtf, exp.Values) and not table_alias.columns: 132 column_aliases = dialect.generate_values_aliases(udtf) 133 table_alias.set("columns", column_aliases) 134 else: 135 for node in scope.walk(): 136 if ( 137 isinstance(node, exp.Table) 138 and not node.alias 139 and isinstance(node.parent, (exp.From, exp.Join)) 140 ): 141 # Mutates the table by attaching an alias to it 142 alias(node, node.name, copy=False, table=True) 143 144 for column in scope.columns: 145 if column.db: 146 table_alias = table_aliases.get(".".join(p.name for p in column.parts[0:-1])) 147 148 if table_alias: 149 for p in exp.COLUMN_PARTS[1:]: 150 column.set(p, None) 151 column.set("table", table_alias) 152 153 return expression
def
qualify_tables( expression: ~E, db: Union[sqlglot.expressions.Identifier, str, NoneType] = None, catalog: Union[sqlglot.expressions.Identifier, str, NoneType] = None, schema: Optional[sqlglot.schema.Schema] = None, infer_csv_schemas: bool = False, dialect: Union[str, sqlglot.dialects.Dialect, Type[sqlglot.dialects.Dialect], NoneType] = None) -> ~E:
18def qualify_tables( 19 expression: E, 20 db: t.Optional[str | exp.Identifier] = None, 21 catalog: t.Optional[str | exp.Identifier] = None, 22 schema: t.Optional[Schema] = None, 23 infer_csv_schemas: bool = False, 24 dialect: DialectType = None, 25) -> E: 26 """ 27 Rewrite sqlglot AST to have fully qualified tables. Join constructs such as 28 (t1 JOIN t2) AS t will be expanded into (SELECT * FROM t1 AS t1, t2 AS t2) AS t. 29 30 Examples: 31 >>> import sqlglot 32 >>> expression = sqlglot.parse_one("SELECT 1 FROM tbl") 33 >>> qualify_tables(expression, db="db").sql() 34 'SELECT 1 FROM db.tbl AS tbl' 35 >>> 36 >>> expression = sqlglot.parse_one("SELECT 1 FROM (t1 JOIN t2) AS t") 37 >>> qualify_tables(expression).sql() 38 'SELECT 1 FROM (SELECT * FROM t1 AS t1, t2 AS t2) AS t' 39 40 Args: 41 expression: Expression to qualify 42 db: Database name 43 catalog: Catalog name 44 schema: A schema to populate 45 infer_csv_schemas: Whether to scan READ_CSV calls in order to infer the CSVs' schemas. 46 dialect: The dialect to parse catalog and schema into. 47 48 Returns: 49 The qualified expression. 50 """ 51 next_alias_name = name_sequence("_q_") 52 db = exp.parse_identifier(db, dialect=dialect) if db else None 53 catalog = exp.parse_identifier(catalog, dialect=dialect) if catalog else None 54 dialect = Dialect.get_or_raise(dialect) 55 56 def _qualify(table: exp.Table) -> None: 57 if isinstance(table.this, exp.Identifier): 58 if not table.args.get("db"): 59 table.set("db", db) 60 if not table.args.get("catalog") and table.args.get("db"): 61 table.set("catalog", catalog) 62 63 if (db or catalog) and not isinstance(expression, exp.Query): 64 for node in expression.walk(prune=lambda n: isinstance(n, exp.Query)): 65 if isinstance(node, exp.Table): 66 _qualify(node) 67 68 for scope in traverse_scope(expression): 69 for derived_table in itertools.chain(scope.ctes, scope.derived_tables): 70 if isinstance(derived_table, exp.Subquery): 71 unnested = derived_table.unnest() 72 if isinstance(unnested, exp.Table): 73 joins = unnested.args.pop("joins", None) 74 derived_table.this.replace(exp.select("*").from_(unnested.copy(), copy=False)) 75 derived_table.this.set("joins", joins) 76 77 if not derived_table.args.get("alias"): 78 alias_ = next_alias_name() 79 derived_table.set("alias", exp.TableAlias(this=exp.to_identifier(alias_))) 80 scope.rename_source(None, alias_) 81 82 pivots = derived_table.args.get("pivots") 83 if pivots and not pivots[0].alias: 84 pivots[0].set("alias", exp.TableAlias(this=exp.to_identifier(next_alias_name()))) 85 86 table_aliases = {} 87 88 for name, source in scope.sources.items(): 89 if isinstance(source, exp.Table): 90 pivots = source.args.get("pivots") 91 if not source.alias: 92 # Don't add the pivot's alias to the pivoted table, use the table's name instead 93 if pivots and pivots[0].alias == name: 94 name = source.name 95 96 # Mutates the source by attaching an alias to it 97 alias(source, name or source.name or next_alias_name(), copy=False, table=True) 98 99 table_aliases[".".join(p.name for p in source.parts)] = exp.to_identifier( 100 source.alias 101 ) 102 103 if pivots: 104 if not pivots[0].alias: 105 pivot_alias = next_alias_name() 106 pivots[0].set("alias", exp.TableAlias(this=exp.to_identifier(pivot_alias))) 107 108 # This case corresponds to a pivoted CTE, we don't want to qualify that 109 if isinstance(scope.sources.get(source.alias_or_name), Scope): 110 continue 111 112 _qualify(source) 113 114 if infer_csv_schemas and schema and isinstance(source.this, exp.ReadCSV): 115 with csv_reader(source.this) as reader: 116 header = next(reader) 117 columns = next(reader) 118 schema.add_table( 119 source, 120 {k: type(v).__name__ for k, v in zip(header, columns)}, 121 match_depth=False, 122 ) 123 elif isinstance(source, Scope) and source.is_udtf: 124 udtf = source.expression 125 table_alias = udtf.args.get("alias") or exp.TableAlias( 126 this=exp.to_identifier(next_alias_name()) 127 ) 128 udtf.set("alias", table_alias) 129 130 if not table_alias.name: 131 table_alias.set("this", exp.to_identifier(next_alias_name())) 132 if isinstance(udtf, exp.Values) and not table_alias.columns: 133 column_aliases = dialect.generate_values_aliases(udtf) 134 table_alias.set("columns", column_aliases) 135 else: 136 for node in scope.walk(): 137 if ( 138 isinstance(node, exp.Table) 139 and not node.alias 140 and isinstance(node.parent, (exp.From, exp.Join)) 141 ): 142 # Mutates the table by attaching an alias to it 143 alias(node, node.name, copy=False, table=True) 144 145 for column in scope.columns: 146 if column.db: 147 table_alias = table_aliases.get(".".join(p.name for p in column.parts[0:-1])) 148 149 if table_alias: 150 for p in exp.COLUMN_PARTS[1:]: 151 column.set(p, None) 152 column.set("table", table_alias) 153 154 return expression
Rewrite sqlglot AST to have fully qualified tables. Join constructs such as (t1 JOIN t2) AS t will be expanded into (SELECT * FROM t1 AS t1, t2 AS t2) AS t.
Examples:
>>> import sqlglot >>> expression = sqlglot.parse_one("SELECT 1 FROM tbl") >>> qualify_tables(expression, db="db").sql() 'SELECT 1 FROM db.tbl AS tbl' >>> >>> expression = sqlglot.parse_one("SELECT 1 FROM (t1 JOIN t2) AS t") >>> qualify_tables(expression).sql() 'SELECT 1 FROM (SELECT * FROM t1 AS t1, t2 AS t2) AS t'
Arguments:
- expression: Expression to qualify
- db: Database name
- catalog: Catalog name
- schema: A schema to populate
- infer_csv_schemas: Whether to scan READ_CSV calls in order to infer the CSVs' schemas.
- dialect: The dialect to parse catalog and schema into.
Returns:
The qualified expression.