import unittest from concurrent.futures import ProcessPoolExecutor, as_completed from functools import partial from unittest.mock import patch import duckdb from pandas.testing import assert_frame_equal import sqlglot from sqlglot import exp, optimizer, parse_one from sqlglot.errors import OptimizeError, SchemaError from sqlglot.optimizer.annotate_types import annotate_types from sqlglot.optimizer.scope import build_scope, traverse_scope, walk_in_scope from sqlglot.schema import MappingSchema from tests.helpers import ( TPCDS_SCHEMA, TPCH_SCHEMA, assert_logger_contains, load_sql_fixture_pairs, load_sql_fixtures, string_to_bool, ) def parse_and_optimize(func, sql, read_dialect, **kwargs): return func(parse_one(sql, read=read_dialect), **kwargs) def qualify_columns(expression, **kwargs): expression = optimizer.qualify.qualify( expression, infer_schema=True, validate_qualify_columns=False, identify=False, **kwargs ) return expression def pushdown_projections(expression, **kwargs): expression = optimizer.qualify_tables.qualify_tables(expression) expression = optimizer.qualify_columns.qualify_columns(expression, infer_schema=True, **kwargs) expression = optimizer.pushdown_projections.pushdown_projections(expression, **kwargs) return expression def normalize(expression, **kwargs): expression = optimizer.normalize.normalize(expression, dnf=False) return optimizer.simplify.simplify(expression) def simplify(expression, **kwargs): return optimizer.simplify.simplify(expression, constant_propagation=True, **kwargs) class TestOptimizer(unittest.TestCase): maxDiff = None @classmethod def setUpClass(cls): sqlglot.schema = MappingSchema() cls.conn = duckdb.connect() cls.conn.execute( """ CREATE TABLE x (a INT, b INT); CREATE TABLE y (b INT, c INT); CREATE TABLE z (b INT, c INT); CREATE TABLE w (d TEXT, e TEXT); INSERT INTO x VALUES (1, 1); INSERT INTO x VALUES (2, 2); INSERT INTO x VALUES (2, 2); INSERT INTO x VALUES (3, 3); INSERT INTO x VALUES (null, null); INSERT INTO y VALUES (2, 2); INSERT INTO y VALUES (2, 2); INSERT INTO y VALUES (3, 3); INSERT INTO y VALUES (4, 4); INSERT INTO y VALUES (null, null); INSERT INTO y VALUES (3, 3); INSERT INTO y VALUES (3, 3); INSERT INTO y VALUES (4, 4); INSERT INTO y VALUES (5, 5); INSERT INTO y VALUES (null, null); INSERT INTO w VALUES ('a', 'b'); """ ) def setUp(self): self.schema = { "x": { "a": "INT", "b": "INT", }, "y": { "b": "INT", "c": "INT", }, "z": { "b": "INT", "c": "INT", }, "w": { "d": "TEXT", "e": "TEXT", }, } def check_file(self, file, func, pretty=False, execute=False, set_dialect=False, **kwargs): with ProcessPoolExecutor() as pool: results = {} for i, (meta, sql, expected) in enumerate( load_sql_fixture_pairs(f"optimizer/{file}.sql"), start=1 ): title = meta.get("title") or f"{i}, {sql}" dialect = meta.get("dialect") leave_tables_isolated = meta.get("leave_tables_isolated") func_kwargs = {**kwargs} if leave_tables_isolated is not None: func_kwargs["leave_tables_isolated"] = string_to_bool(leave_tables_isolated) if set_dialect and dialect: func_kwargs["dialect"] = dialect future = pool.submit(parse_and_optimize, func, sql, dialect, **func_kwargs) results[future] = ( sql, title, expected, dialect, execute if meta.get("execute") is None else False, ) for future in as_completed(results): optimized = future.result() sql, title, expected, dialect, execute = results[future] with self.subTest(title): self.assertEqual( expected, optimized.sql(pretty=pretty, dialect=dialect), ) if string_to_bool(execute): with self.subTest(f"(execute) {title}"): df1 = self.conn.execute( sqlglot.transpile(sql, read=dialect, write="duckdb")[0] ).df() df2 = self.conn.execute(optimized.sql(pretty=pretty, dialect="duckdb")).df() assert_frame_equal(df1, df2) @patch("sqlglot.generator.logger") def test_optimize(self, logger): self.assertEqual(optimizer.optimize("x = 1 + 1", identify=None).sql(), "x = 2") schema = { "x": {"a": "INT", "b": "INT"}, "y": {"b": "INT", "c": "INT"}, "z": {"a": "INT", "c": "INT"}, "u": {"f": "INT", "g": "INT", "h": "TEXT"}, } self.check_file( "optimizer", optimizer.optimize, infer_schema=True, pretty=True, execute=True, schema=schema, set_dialect=True, ) def test_isolate_table_selects(self): self.check_file( "isolate_table_selects", optimizer.isolate_table_selects.isolate_table_selects, schema=self.schema, ) def test_qualify_tables(self): self.check_file( "qualify_tables", optimizer.qualify_tables.qualify_tables, db="db", catalog="c", ) def test_normalize(self): self.assertEqual( optimizer.normalize.normalize( parse_one("x AND (y OR z)"), dnf=True, ).sql(), "(x AND y) OR (x AND z)", ) self.assertEqual( optimizer.normalize.normalize( parse_one("x AND (y OR z)"), ).sql(), "x AND (y OR z)", ) self.check_file("normalize", normalize) @patch("sqlglot.generator.logger") def test_qualify_columns(self, logger): self.assertEqual( optimizer.qualify_columns.qualify_columns( parse_one("WITH x AS (SELECT a FROM db.y) SELECT z FROM db.x"), schema={"db": {"x": {"z": "int"}, "y": {"a": "int"}}}, infer_schema=False, ).sql(), "WITH x AS (SELECT y.a AS a FROM db.y) SELECT x.z AS z FROM db.x", ) self.assertEqual( optimizer.qualify_columns.qualify_columns( parse_one("select y from x"), schema={}, infer_schema=False, ).sql(), "SELECT y AS y FROM x", ) self.assertEqual( optimizer.qualify.qualify( parse_one( "WITH X AS (SELECT Y.A FROM DB.y CROSS JOIN a.b.INFORMATION_SCHEMA.COLUMNS) SELECT `A` FROM X", read="bigquery", ), dialect="bigquery", ).sql(), 'WITH "x" AS (SELECT "y"."a" AS "a" FROM "DB"."y" AS "y" CROSS JOIN "a"."b"."INFORMATION_SCHEMA"."COLUMNS" AS "COLUMNS") SELECT "x"."a" AS "a" FROM "x"', ) self.assertEqual( optimizer.qualify.qualify( parse_one( "CREATE FUNCTION udfs.`myTest`(`x` FLOAT64) AS (1)", read="bigquery", ), dialect="bigquery", ).sql(dialect="bigquery"), "CREATE FUNCTION `udfs`.`myTest`(`x` FLOAT64) AS (1)", ) self.check_file( "qualify_columns", qualify_columns, execute=True, schema=self.schema, set_dialect=True ) self.check_file("qualify_columns_ddl", qualify_columns, schema=self.schema) def test_qualify_columns__with_invisible(self): schema = MappingSchema(self.schema, {"x": {"a"}, "y": {"b"}, "z": {"b"}}) self.check_file("qualify_columns__with_invisible", qualify_columns, schema=schema) def test_qualify_columns__invalid(self): for sql in load_sql_fixtures("optimizer/qualify_columns__invalid.sql"): with self.subTest(sql): with self.assertRaises((OptimizeError, SchemaError)): expression = optimizer.qualify_columns.qualify_columns( parse_one(sql), schema=self.schema ) optimizer.qualify_columns.validate_qualify_columns(expression) def test_normalize_identifiers(self): self.check_file( "normalize_identifiers", optimizer.normalize_identifiers.normalize_identifiers, set_dialect=True, ) def test_pushdown_projection(self): self.check_file("pushdown_projections", pushdown_projections, schema=self.schema) def test_simplify(self): self.check_file("simplify", simplify) expression = parse_one("TRUE AND TRUE AND TRUE") self.assertEqual(exp.true(), optimizer.simplify.simplify(expression)) self.assertEqual(exp.true(), optimizer.simplify.simplify(expression.this)) # CONCAT in (e.g.) Presto is parsed as Concat instead of SafeConcat which is the default type # This test checks that simplify_concat preserves the corresponding expression types. concat = parse_one("CONCAT('a', x, 'b', 'c')", read="presto") simplified_concat = optimizer.simplify.simplify(concat) safe_concat = parse_one("CONCAT('a', x, 'b', 'c')") simplified_safe_concat = optimizer.simplify.simplify(safe_concat) self.assertIs(type(simplified_concat), exp.Concat) self.assertIs(type(simplified_safe_concat), exp.SafeConcat) self.assertEqual("CONCAT('a', x, 'bc')", simplified_concat.sql(dialect="presto")) self.assertEqual("CONCAT('a', x, 'bc')", simplified_safe_concat.sql()) def test_unnest_subqueries(self): self.check_file( "unnest_subqueries", optimizer.unnest_subqueries.unnest_subqueries, pretty=True, ) def test_pushdown_predicates(self): self.check_file("pushdown_predicates", optimizer.pushdown_predicates.pushdown_predicates) def test_expand_alias_refs(self): # check order of lateral expansion with no schema self.assertEqual( optimizer.optimize("SELECT a + 1 AS d, d + 1 AS e FROM x WHERE e > 1 GROUP BY e").sql(), 'SELECT "x"."a" + 1 AS "d", "x"."a" + 1 + 1 AS "e" FROM "x" AS "x" WHERE ("x"."a" + 2) > 1 GROUP BY "x"."a" + 1 + 1', ) self.assertEqual( optimizer.qualify_columns.qualify_columns( parse_one("SELECT CAST(x AS INT) AS y FROM z AS z"), schema={"l": {"c": "int"}}, infer_schema=False, ).sql(), "SELECT CAST(x AS INT) AS y FROM z AS z", ) def test_optimize_joins(self): self.check_file( "optimize_joins", optimizer.optimize_joins.optimize_joins, ) def test_eliminate_joins(self): self.check_file( "eliminate_joins", optimizer.eliminate_joins.eliminate_joins, pretty=True, ) def test_eliminate_ctes(self): self.check_file( "eliminate_ctes", optimizer.eliminate_ctes.eliminate_ctes, pretty=True, ) @patch("sqlglot.generator.logger") def test_merge_subqueries(self, logger): optimize = partial( optimizer.optimize, rules=[ optimizer.qualify_tables.qualify_tables, optimizer.qualify_columns.qualify_columns, optimizer.merge_subqueries.merge_subqueries, ], ) self.check_file("merge_subqueries", optimize, execute=True, schema=self.schema) def test_eliminate_subqueries(self): self.check_file("eliminate_subqueries", optimizer.eliminate_subqueries.eliminate_subqueries) def test_canonicalize(self): optimize = partial( optimizer.optimize, rules=[ optimizer.qualify.qualify, optimizer.qualify_columns.quote_identifiers, annotate_types, optimizer.canonicalize.canonicalize, ], ) self.check_file("canonicalize", optimize, schema=self.schema) def test_tpch(self): self.check_file("tpc-h/tpc-h", optimizer.optimize, schema=TPCH_SCHEMA, pretty=True) def test_tpcds(self): self.check_file("tpc-ds/tpc-ds", optimizer.optimize, schema=TPCDS_SCHEMA, pretty=True) def test_file_schema(self): expression = parse_one( """ SELECT * FROM READ_CSV('tests/fixtures/optimizer/tpc-h/nation.csv.gz', 'delimiter', '|') """ ) self.assertEqual( """ SELECT "_q_0"."n_nationkey" AS "n_nationkey", "_q_0"."n_name" AS "n_name", "_q_0"."n_regionkey" AS "n_regionkey", "_q_0"."n_comment" AS "n_comment" FROM READ_CSV('tests/fixtures/optimizer/tpc-h/nation.csv.gz', 'delimiter', '|') AS "_q_0" """.strip(), optimizer.optimize(expression).sql(pretty=True), ) def test_scope(self): sql = """ WITH q AS ( SELECT x.b FROM x ), r AS ( SELECT y.b FROM y ), z as ( SELECT cola, colb FROM (VALUES(1, 'test')) AS tab(cola, colb) ) SELECT r.b, s.b FROM r JOIN ( SELECT y.c AS b FROM y ) s ON s.b = r.b WHERE s.b > (SELECT MAX(x.a) FROM x WHERE x.b = s.b) """ expression = parse_one(sql) for scopes in traverse_scope(expression), list(build_scope(expression).traverse()): self.assertEqual(len(scopes), 7) self.assertEqual(scopes[0].expression.sql(), "SELECT x.b FROM x") self.assertEqual(scopes[1].expression.sql(), "SELECT y.b FROM y") self.assertEqual(scopes[2].expression.sql(), "(VALUES (1, 'test')) AS tab(cola, colb)") self.assertEqual( scopes[3].expression.sql(), "SELECT cola, colb FROM (VALUES (1, 'test')) AS tab(cola, colb)", ) self.assertEqual(scopes[4].expression.sql(), "SELECT y.c AS b FROM y") self.assertEqual(scopes[5].expression.sql(), "SELECT MAX(x.a) FROM x WHERE x.b = s.b") self.assertEqual(scopes[6].expression.sql(), parse_one(sql).sql()) self.assertEqual(set(scopes[6].sources), {"q", "z", "r", "s"}) self.assertEqual(len(scopes[6].columns), 6) self.assertEqual({c.table for c in scopes[6].columns}, {"r", "s"}) self.assertEqual(scopes[6].source_columns("q"), []) self.assertEqual(len(scopes[6].source_columns("r")), 2) self.assertEqual({c.table for c in scopes[6].source_columns("r")}, {"r"}) self.assertEqual({c.sql() for c in scopes[-1].find_all(exp.Column)}, {"r.b", "s.b"}) self.assertEqual(scopes[-1].find(exp.Column).sql(), "r.b") self.assertEqual({c.sql() for c in scopes[0].find_all(exp.Column)}, {"x.b"}) # Check that we can walk in scope from an arbitrary node self.assertEqual( { node.sql() for node, *_ in walk_in_scope(expression.find(exp.Where)) if isinstance(node, exp.Column) }, {"s.b"}, ) # Check that parentheses don't introduce a new scope unless an alias is attached sql = "SELECT * FROM (((SELECT * FROM (t1 JOIN t2) AS t3) JOIN (SELECT * FROM t4)))" expression = parse_one(sql) for scopes in traverse_scope(expression), list(build_scope(expression).traverse()): self.assertEqual(len(scopes), 4) self.assertEqual(scopes[0].expression.sql(), "t1, t2") self.assertEqual(set(scopes[0].sources), {"t1", "t2"}) self.assertEqual(scopes[1].expression.sql(), "SELECT * FROM (t1, t2) AS t3") self.assertEqual(set(scopes[1].sources), {"t3"}) self.assertEqual(scopes[2].expression.sql(), "SELECT * FROM t4") self.assertEqual(set(scopes[2].sources), {"t4"}) self.assertEqual( scopes[3].expression.sql(), "SELECT * FROM (((SELECT * FROM (t1, t2) AS t3), (SELECT * FROM t4)))", ) self.assertEqual(set(scopes[3].sources), {""}) inner_query = "SELECT bar FROM baz" for udtf in (f"UNNEST(({inner_query}))", f"LATERAL ({inner_query})"): sql = f"SELECT a FROM foo CROSS JOIN {udtf}" expression = parse_one(sql) for scopes in traverse_scope(expression), list(build_scope(expression).traverse()): self.assertEqual(len(scopes), 3) self.assertEqual(scopes[0].expression.sql(), inner_query) self.assertEqual(set(scopes[0].sources), {"baz"}) self.assertEqual(scopes[1].expression.sql(), udtf) self.assertEqual(set(scopes[1].sources), {"", "foo"}) # foo is a lateral source self.assertEqual(scopes[2].expression.sql(), f"SELECT a FROM foo CROSS JOIN {udtf}") self.assertEqual(set(scopes[2].sources), {"", "foo"}) @patch("sqlglot.optimizer.scope.logger") def test_scope_warning(self, logger): self.assertEqual(len(traverse_scope(parse_one("WITH q AS (@y) SELECT * FROM q"))), 1) assert_logger_contains( "Cannot traverse scope %s with type '%s'", logger, level="warning", ) def test_literal_type_annotation(self): tests = { "SELECT 5": exp.DataType.Type.INT, "SELECT 5.3": exp.DataType.Type.DOUBLE, "SELECT 'bla'": exp.DataType.Type.VARCHAR, "5": exp.DataType.Type.INT, "5.3": exp.DataType.Type.DOUBLE, "'bla'": exp.DataType.Type.VARCHAR, } for sql, target_type in tests.items(): expression = annotate_types(parse_one(sql)) self.assertEqual(expression.find(exp.Literal).type.this, target_type) def test_boolean_type_annotation(self): tests = { "SELECT TRUE": exp.DataType.Type.BOOLEAN, "FALSE": exp.DataType.Type.BOOLEAN, } for sql, target_type in tests.items(): expression = annotate_types(parse_one(sql)) self.assertEqual(expression.find(exp.Boolean).type.this, target_type) def test_cast_type_annotation(self): expression = annotate_types(parse_one("CAST('2020-01-01' AS TIMESTAMPTZ(9))")) self.assertEqual(expression.type.this, exp.DataType.Type.TIMESTAMPTZ) self.assertEqual(expression.this.type.this, exp.DataType.Type.VARCHAR) self.assertEqual(expression.args["to"].type.this, exp.DataType.Type.TIMESTAMPTZ) self.assertEqual(expression.args["to"].expressions[0].this.type.this, exp.DataType.Type.INT) expression = annotate_types(parse_one("ARRAY(1)::ARRAY")) self.assertEqual(expression.type, parse_one("ARRAY", into=exp.DataType)) expression = annotate_types(parse_one("CAST(x AS INTERVAL)")) self.assertEqual(expression.type.this, exp.DataType.Type.INTERVAL) self.assertEqual(expression.this.type.this, exp.DataType.Type.UNKNOWN) self.assertEqual(expression.args["to"].type.this, exp.DataType.Type.INTERVAL) def test_cache_annotation(self): expression = annotate_types( parse_one("CACHE LAZY TABLE x OPTIONS('storageLevel' = 'value') AS SELECT 1") ) self.assertEqual(expression.expression.expressions[0].type.this, exp.DataType.Type.INT) def test_binary_annotation(self): expression = annotate_types(parse_one("SELECT 0.0 + (2 + 3)")).expressions[0] self.assertEqual(expression.type.this, exp.DataType.Type.DOUBLE) self.assertEqual(expression.left.type.this, exp.DataType.Type.DOUBLE) self.assertEqual(expression.right.type.this, exp.DataType.Type.INT) self.assertEqual(expression.right.this.type.this, exp.DataType.Type.INT) self.assertEqual(expression.right.this.left.type.this, exp.DataType.Type.INT) self.assertEqual(expression.right.this.right.type.this, exp.DataType.Type.INT) def test_bracket_annotation(self): expression = annotate_types(parse_one("SELECT A[:]")).expressions[0] self.assertEqual(expression.type.this, exp.DataType.Type.UNKNOWN) self.assertEqual(expression.expressions[0].type.this, exp.DataType.Type.UNKNOWN) expression = annotate_types(parse_one("SELECT ARRAY[1, 2, 3][1]")).expressions[0] self.assertEqual(expression.this.type.sql(), "ARRAY") self.assertEqual(expression.type.this, exp.DataType.Type.INT) expression = annotate_types(parse_one("SELECT ARRAY[1, 2, 3][1 : 2]")).expressions[0] self.assertEqual(expression.this.type.sql(), "ARRAY") self.assertEqual(expression.type.sql(), "ARRAY") expression = annotate_types( parse_one("SELECT ARRAY[ARRAY[1], ARRAY[2], ARRAY[3]][1][2]") ).expressions[0] self.assertEqual(expression.this.this.type.sql(), "ARRAY>") self.assertEqual(expression.this.type.sql(), "ARRAY") self.assertEqual(expression.type.this, exp.DataType.Type.INT) expression = annotate_types( parse_one("SELECT ARRAY[ARRAY[1], ARRAY[2], ARRAY[3]][1:2]") ).expressions[0] self.assertEqual(expression.type.sql(), "ARRAY>") expression = annotate_types(parse_one("MAP(1.0, 2, '2', 3.0)['2']", read="spark")) self.assertEqual(expression.type.this, exp.DataType.Type.DOUBLE) expression = annotate_types(parse_one("MAP(1.0, 2, x, 3.0)[2]", read="spark")) self.assertEqual(expression.type.this, exp.DataType.Type.UNKNOWN) expression = annotate_types(parse_one("MAP(ARRAY(1.0, x), ARRAY(2, 3.0))[x]")) self.assertEqual(expression.type.this, exp.DataType.Type.DOUBLE) expression = annotate_types( parse_one("SELECT MAP(1.0, 2, 2, t.y)[2] FROM t", read="spark"), schema={"t": {"y": "int"}}, ).expressions[0] self.assertEqual(expression.type.this, exp.DataType.Type.INT) def test_interval_math_annotation(self): schema = { "x": { "a": "DATE", "b": "DATETIME", } } for sql, expected_type, *expected_sql in [ ( "SELECT '2023-01-01' + INTERVAL '1' DAY", exp.DataType.Type.DATE, "SELECT CAST('2023-01-01' AS DATE) + INTERVAL '1' DAY", ), ( "SELECT '2023-01-01' + INTERVAL '1' HOUR", exp.DataType.Type.DATETIME, "SELECT CAST('2023-01-01' AS DATETIME) + INTERVAL '1' HOUR", ), ( "SELECT '2023-01-01 00:00:01' + INTERVAL '1' HOUR", exp.DataType.Type.DATETIME, "SELECT CAST('2023-01-01 00:00:01' AS DATETIME) + INTERVAL '1' HOUR", ), ("SELECT 'nonsense' + INTERVAL '1' DAY", exp.DataType.Type.UNKNOWN), ("SELECT x.a + INTERVAL '1' DAY FROM x AS x", exp.DataType.Type.DATE), ("SELECT x.a + INTERVAL '1' HOUR FROM x AS x", exp.DataType.Type.DATETIME), ("SELECT x.b + INTERVAL '1' DAY FROM x AS x", exp.DataType.Type.DATETIME), ("SELECT x.b + INTERVAL '1' HOUR FROM x AS x", exp.DataType.Type.DATETIME), ( "SELECT DATE_ADD('2023-01-01', 1, 'DAY')", exp.DataType.Type.DATE, "SELECT DATE_ADD(CAST('2023-01-01' AS DATE), 1, 'DAY')", ), ( "SELECT DATE_ADD('2023-01-01 00:00:00', 1, 'DAY')", exp.DataType.Type.DATETIME, "SELECT DATE_ADD(CAST('2023-01-01 00:00:00' AS DATETIME), 1, 'DAY')", ), ("SELECT DATE_ADD(x.a, 1, 'DAY') FROM x AS x", exp.DataType.Type.DATE), ("SELECT DATE_ADD(x.a, 1, 'HOUR') FROM x AS x", exp.DataType.Type.DATETIME), ("SELECT DATE_ADD(x.b, 1, 'DAY') FROM x AS x", exp.DataType.Type.DATETIME), ]: with self.subTest(sql): expression = annotate_types(parse_one(sql), schema=schema) self.assertEqual(expected_type, expression.expressions[0].type.this) self.assertEqual(expected_sql[0] if expected_sql else sql, expression.sql()) def test_lateral_annotation(self): expression = optimizer.optimize( parse_one("SELECT c FROM (select 1 a) as x LATERAL VIEW EXPLODE (a) AS c") ).expressions[0] self.assertEqual(expression.type.this, exp.DataType.Type.INT) def test_derived_tables_column_annotation(self): schema = {"x": {"cola": "INT"}, "y": {"cola": "FLOAT"}} sql = """ SELECT a.cola AS cola FROM ( SELECT x.cola + y.cola AS cola FROM ( SELECT x.cola AS cola FROM x AS x ) AS x JOIN ( SELECT y.cola AS cola FROM y AS y ) AS y ) AS a """ expression = annotate_types(parse_one(sql), schema=schema) self.assertEqual( expression.expressions[0].type.this, exp.DataType.Type.FLOAT ) # a.cola AS cola addition_alias = expression.args["from"].this.this.expressions[0] self.assertEqual( addition_alias.type.this, exp.DataType.Type.FLOAT ) # x.cola + y.cola AS cola addition = addition_alias.this self.assertEqual(addition.type.this, exp.DataType.Type.FLOAT) self.assertEqual(addition.this.type.this, exp.DataType.Type.INT) self.assertEqual(addition.expression.type.this, exp.DataType.Type.FLOAT) def test_cte_column_annotation(self): schema = {"x": {"cola": "CHAR"}, "y": {"colb": "TEXT", "colc": "BOOLEAN"}} sql = """ WITH tbl AS ( SELECT x.cola + 'bla' AS cola, y.colb AS colb, y.colc AS colc FROM ( SELECT x.cola AS cola FROM x AS x ) AS x JOIN ( SELECT y.colb AS colb, y.colc AS colc FROM y AS y ) AS y ) SELECT tbl.cola + tbl.colb + 'foo' AS col FROM tbl AS tbl WHERE tbl.colc = True """ expression = annotate_types(parse_one(sql), schema=schema) self.assertEqual( expression.expressions[0].type.this, exp.DataType.Type.TEXT ) # tbl.cola + tbl.colb + 'foo' AS col outer_addition = expression.expressions[0].this # (tbl.cola + tbl.colb) + 'foo' self.assertEqual(outer_addition.type.this, exp.DataType.Type.TEXT) self.assertEqual(outer_addition.left.type.this, exp.DataType.Type.TEXT) self.assertEqual(outer_addition.right.type.this, exp.DataType.Type.VARCHAR) inner_addition = expression.expressions[0].this.left # tbl.cola + tbl.colb self.assertEqual(inner_addition.left.type.this, exp.DataType.Type.VARCHAR) self.assertEqual(inner_addition.right.type.this, exp.DataType.Type.TEXT) # WHERE tbl.colc = True self.assertEqual(expression.args["where"].this.type.this, exp.DataType.Type.BOOLEAN) cte_select = expression.args["with"].expressions[0].this self.assertEqual( cte_select.expressions[0].type.this, exp.DataType.Type.VARCHAR ) # x.cola + 'bla' AS cola self.assertEqual( cte_select.expressions[1].type.this, exp.DataType.Type.TEXT ) # y.colb AS colb self.assertEqual( cte_select.expressions[2].type.this, exp.DataType.Type.BOOLEAN ) # y.colc AS colc cte_select_addition = cte_select.expressions[0].this # x.cola + 'bla' self.assertEqual(cte_select_addition.type.this, exp.DataType.Type.VARCHAR) self.assertEqual(cte_select_addition.left.type.this, exp.DataType.Type.CHAR) self.assertEqual(cte_select_addition.right.type.this, exp.DataType.Type.VARCHAR) # Check that x.cola AS cola and y.colb AS colb have types CHAR and TEXT, respectively for d, t in zip( cte_select.find_all(exp.Subquery), [exp.DataType.Type.CHAR, exp.DataType.Type.TEXT] ): self.assertEqual(d.this.expressions[0].this.type.this, t) def test_function_annotation(self): schema = {"x": {"cola": "VARCHAR", "colb": "CHAR"}} sql = ( "SELECT x.cola || TRIM(x.colb) AS col, DATE(x.colb), DATEFROMPARTS(y, m, d) FROM x AS x" ) expression = annotate_types(parse_one(sql), schema=schema) concat_expr_alias = expression.expressions[0] self.assertEqual(concat_expr_alias.type.this, exp.DataType.Type.VARCHAR) concat_expr = concat_expr_alias.this self.assertEqual(concat_expr.type.this, exp.DataType.Type.VARCHAR) self.assertEqual(concat_expr.left.type.this, exp.DataType.Type.VARCHAR) # x.cola self.assertEqual(concat_expr.right.type.this, exp.DataType.Type.VARCHAR) # TRIM(x.colb) self.assertEqual(concat_expr.right.this.type.this, exp.DataType.Type.CHAR) # x.colb date_expr = expression.expressions[1] self.assertEqual(date_expr.type.this, exp.DataType.Type.DATE) date_expr = expression.expressions[2] self.assertEqual(date_expr.type.this, exp.DataType.Type.DATE) sql = "SELECT CASE WHEN 1=1 THEN x.cola ELSE x.colb END AS col FROM x AS x" case_expr_alias = annotate_types(parse_one(sql), schema=schema).expressions[0] self.assertEqual(case_expr_alias.type.this, exp.DataType.Type.VARCHAR) case_expr = case_expr_alias.this self.assertEqual(case_expr.type.this, exp.DataType.Type.VARCHAR) self.assertEqual(case_expr.args["default"].type.this, exp.DataType.Type.CHAR) case_ifs_expr = case_expr.args["ifs"][0] self.assertEqual(case_ifs_expr.type.this, exp.DataType.Type.VARCHAR) self.assertEqual(case_ifs_expr.args["true"].type.this, exp.DataType.Type.VARCHAR) def test_unknown_annotation(self): schema = {"x": {"cola": "VARCHAR"}} sql = "SELECT x.cola + SOME_ANONYMOUS_FUNC(x.cola) AS col FROM x AS x" concat_expr_alias = annotate_types(parse_one(sql), schema=schema).expressions[0] self.assertEqual(concat_expr_alias.type.this, exp.DataType.Type.UNKNOWN) concat_expr = concat_expr_alias.this self.assertEqual(concat_expr.type.this, exp.DataType.Type.UNKNOWN) self.assertEqual(concat_expr.left.type.this, exp.DataType.Type.VARCHAR) # x.cola self.assertEqual( concat_expr.right.type.this, exp.DataType.Type.UNKNOWN ) # SOME_ANONYMOUS_FUNC(x.cola) self.assertEqual( concat_expr.right.expressions[0].type.this, exp.DataType.Type.VARCHAR ) # x.cola (arg) annotate_types(parse_one("select x from y lateral view explode(y) as x")).expressions[0] def test_null_annotation(self): expression = annotate_types(parse_one("SELECT NULL + 2 AS col")).expressions[0].this self.assertEqual(expression.left.type.this, exp.DataType.Type.NULL) self.assertEqual(expression.right.type.this, exp.DataType.Type.INT) # NULL UNKNOWN should yield NULL sql = "SELECT NULL + SOME_ANONYMOUS_FUNC() AS result" concat_expr_alias = annotate_types(parse_one(sql)).expressions[0] self.assertEqual(concat_expr_alias.type.this, exp.DataType.Type.NULL) concat_expr = concat_expr_alias.this self.assertEqual(concat_expr.type.this, exp.DataType.Type.NULL) self.assertEqual(concat_expr.left.type.this, exp.DataType.Type.NULL) self.assertEqual(concat_expr.right.type.this, exp.DataType.Type.UNKNOWN) def test_nullable_annotation(self): nullable = exp.DataType.build("NULLABLE", expressions=exp.DataType.build("BOOLEAN")) expression = annotate_types(parse_one("NULL AND FALSE")) self.assertEqual(expression.type, nullable) self.assertEqual(expression.left.type.this, exp.DataType.Type.NULL) self.assertEqual(expression.right.type.this, exp.DataType.Type.BOOLEAN) def test_predicate_annotation(self): expression = annotate_types(parse_one("x BETWEEN a AND b")) self.assertEqual(expression.type.this, exp.DataType.Type.BOOLEAN) expression = annotate_types(parse_one("x IN (a, b, c, d)")) self.assertEqual(expression.type.this, exp.DataType.Type.BOOLEAN) def test_aggfunc_annotation(self): schema = {"x": {"cola": "SMALLINT", "colb": "FLOAT", "colc": "TEXT", "cold": "DATE"}} tests = { ("AVG", "cola"): exp.DataType.Type.DOUBLE, ("SUM", "cola"): exp.DataType.Type.BIGINT, ("SUM", "colb"): exp.DataType.Type.DOUBLE, ("MIN", "cola"): exp.DataType.Type.SMALLINT, ("MIN", "colb"): exp.DataType.Type.FLOAT, ("MAX", "colc"): exp.DataType.Type.TEXT, ("MAX", "cold"): exp.DataType.Type.DATE, ("COUNT", "colb"): exp.DataType.Type.BIGINT, ("STDDEV", "cola"): exp.DataType.Type.DOUBLE, } for (func, col), target_type in tests.items(): expression = annotate_types( parse_one(f"SELECT {func}(x.{col}) AS _col_0 FROM x AS x"), schema=schema ) self.assertEqual(expression.expressions[0].type.this, target_type) def test_concat_annotation(self): expression = annotate_types(parse_one("CONCAT('A', 'B')")) self.assertEqual(expression.type.this, exp.DataType.Type.VARCHAR) def test_root_subquery_annotation(self): expression = annotate_types(parse_one("(SELECT 1, 2 FROM x) LIMIT 0")) self.assertIsInstance(expression, exp.Subquery) self.assertEqual(exp.DataType.Type.INT, expression.selects[0].type.this) self.assertEqual(exp.DataType.Type.INT, expression.selects[1].type.this) def test_nested_type_annotation(self): schema = {"order": {"customer_id": "bigint", "item_id": "bigint", "item_price": "numeric"}} sql = """ SELECT ARRAY_AGG(DISTINCT order.item_id) FILTER (WHERE order.item_price > 10) AS items, FROM order AS order GROUP BY order.customer_id """ expression = annotate_types(parse_one(sql), schema=schema) self.assertEqual(exp.DataType.Type.ARRAY, expression.selects[0].type.this) self.assertEqual(expression.selects[0].type.sql(), "ARRAY") expression = annotate_types( parse_one("SELECT ARRAY_CAT(ARRAY[1,2,3], ARRAY[4,5])", read="postgres") ) self.assertEqual(exp.DataType.Type.ARRAY, expression.selects[0].type.this) self.assertEqual(expression.selects[0].type.sql(), "ARRAY") schema = MappingSchema({"t": {"c": "STRUCT<`f` STRING>"}}, dialect="bigquery") expression = annotate_types(parse_one("SELECT t.c FROM t"), schema=schema) self.assertEqual(expression.selects[0].type.sql(dialect="bigquery"), "STRUCT<`f` STRING>") def test_type_annotation_cache(self): sql = "SELECT 1 + 1" expression = annotate_types(parse_one(sql)) self.assertEqual(exp.DataType.Type.INT, expression.selects[0].type.this) expression.selects[0].this.replace(parse_one("1.2")) expression = annotate_types(expression) self.assertEqual(exp.DataType.Type.DOUBLE, expression.selects[0].type.this) def test_user_defined_type_annotation(self): schema = MappingSchema({"t": {"x": "int"}}, dialect="postgres") expression = annotate_types(parse_one("SELECT CAST(x AS IPADDRESS) FROM t"), schema=schema) self.assertEqual(exp.DataType.Type.USERDEFINED, expression.selects[0].type.this) self.assertEqual(expression.selects[0].type.sql(dialect="postgres"), "IPADDRESS") def test_recursive_cte(self): query = parse_one( """ with recursive t(n) AS ( select 1 union all select n + 1 FROM t where n < 3 ), y AS ( select n FROM t union all select n + 1 FROM y where n < 2 ) select * from y """ ) scope_t, scope_y = build_scope(query).cte_scopes self.assertEqual(set(scope_t.cte_sources), {"t"}) self.assertEqual(set(scope_y.cte_sources), {"t", "y"}) def test_schema_with_spaces(self): schema = { "a": { "b c": "text", '"d e"': "text", } } self.assertEqual( optimizer.optimize(parse_one("SELECT * FROM a"), schema=schema), parse_one('SELECT "a"."b c" AS "b c", "a"."d e" AS "d e" FROM "a" AS "a"'), ) def test_quotes(self): schema = { "example": { '"source"': { "id": "text", '"name"': "text", '"payload"': "text", } } } expected = parse_one( """ SELECT "source"."ID" AS "ID", "source"."name" AS "name", "source"."payload" AS "payload" FROM "EXAMPLE"."source" AS "source" """, read="snowflake", ).sql(pretty=True, dialect="snowflake") for func in (optimizer.qualify.qualify, optimizer.optimize): source_query = parse_one('SELECT * FROM example."source" AS "source"', read="snowflake") transformed = func(source_query, dialect="snowflake", schema=schema) self.assertEqual(transformed.sql(pretty=True, dialect="snowflake"), expected) def test_no_pseudocolumn_expansion(self): schema = { "a": { "a": "text", "b": "text", "_PARTITIONDATE": "date", "_PARTITIONTIME": "timestamp", } } self.assertEqual( optimizer.optimize( parse_one("SELECT * FROM a"), schema=MappingSchema(schema, dialect="bigquery") ), parse_one('SELECT "a"."a" AS "a", "a"."b" AS "b" FROM "a" AS "a"'), ) def test_semistructured(self): query = parse_one("select a.b:c from d", read="snowflake") qualified = optimizer.qualify.qualify(query) self.assertEqual(qualified.expressions[0].alias, "c")