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|
import unittest
from concurrent.futures import ProcessPoolExecutor, as_completed
from functools import partial
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,
load_sql_fixture_pairs,
load_sql_fixtures,
string_to_bool,
)
def parse_and_optimize(func, sql, dialect, **kwargs):
return func(parse_one(sql, read=dialect), **kwargs)
def qualify_columns(expression, **kwargs):
expression = optimizer.qualify_tables.qualify_tables(expression)
expression = optimizer.qualify_columns.qualify_columns(expression, **kwargs)
return expression
def pushdown_projections(expression, **kwargs):
expression = optimizer.qualify_tables.qualify_tables(expression)
expression = optimizer.qualify_columns.qualify_columns(expression, **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)
class TestOptimizer(unittest.TestCase):
maxDiff = None
@classmethod
def setUpClass(cls):
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, **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")
execute = execute if meta.get("execute") is None else False
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)
future = pool.submit(parse_and_optimize, func, sql, dialect, **func_kwargs)
results[future] = (sql, title, expected, dialect, execute)
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)
def test_optimize(self):
schema = {
"x": {"a": "INT", "b": "INT"},
"y": {"b": "INT", "c": "INT"},
"z": {"a": "INT", "c": "INT"},
}
self.check_file("optimizer", optimizer.optimize, pretty=True, execute=True, schema=schema)
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)
def test_qualify_columns(self):
self.check_file("qualify_columns", qualify_columns, execute=True, 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_lower_identities(self):
self.check_file("lower_identities", optimizer.lower_identities.lower_identities)
def test_pushdown_projection(self):
self.check_file("pushdown_projections", pushdown_projections, schema=self.schema)
def test_simplify(self):
self.check_file("simplify", optimizer.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))
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_laterals(self):
self.check_file(
"expand_laterals",
optimizer.expand_laterals.expand_laterals,
pretty=True,
execute=True,
)
def test_expand_multi_table_selects(self):
self.check_file(
"expand_multi_table_selects",
optimizer.expand_multi_table_selects.expand_multi_table_selects,
)
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,
)
def test_merge_subqueries(self):
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_tables.qualify_tables,
optimizer.qualify_columns.qualify_columns,
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"},
)
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].type.this, exp.DataType.Type.INT)
expression = annotate_types(parse_one("ARRAY(1)::ARRAY<INT>"))
self.assertEqual(expression.type, parse_one("ARRAY<INT>", 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_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"].expressions[0].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 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.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
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 <op> 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_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"'),
)
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