import os
import datetime
import unittest
from datetime import date, time
from multiprocessing import Pool
import duckdb
import numpy as np
import pandas as pd
from pandas.testing import assert_frame_equal
from sqlglot import exp, parse_one, transpile
from sqlglot.errors import ExecuteError
from sqlglot.executor import execute
from sqlglot.executor.python import Python
from sqlglot.executor.table import Table, ensure_tables
from sqlglot.optimizer import optimize
from sqlglot.planner import Plan
from tests.helpers import (
FIXTURES_DIR,
SKIP_INTEGRATION,
TPCH_SCHEMA,
TPCDS_SCHEMA,
load_sql_fixture_pairs,
string_to_bool,
)
DIR_TPCH = FIXTURES_DIR + "/optimizer/tpc-h/"
DIR_TPCDS = FIXTURES_DIR + "/optimizer/tpc-ds/"
@unittest.skipIf(SKIP_INTEGRATION, "Skipping Integration Tests since `SKIP_INTEGRATION` is set")
class TestExecutor(unittest.TestCase):
@classmethod
def setUpClass(cls):
cls.tpch_conn = duckdb.connect()
cls.tpcds_conn = duckdb.connect()
for table, columns in TPCH_SCHEMA.items():
cls.tpch_conn.execute(
f"""
CREATE VIEW {table} AS
SELECT *
FROM READ_CSV('{DIR_TPCH}{table}.csv.gz', delim='|', header=True, columns={columns})
"""
)
for table, columns in TPCDS_SCHEMA.items():
cls.tpcds_conn.execute(
f"""
CREATE VIEW {table} AS
SELECT *
FROM READ_CSV('{DIR_TPCDS}{table}.csv.gz', delim='|', header=True, columns={columns})
"""
)
cls.cache = {}
cls.tpch_sqls = list(load_sql_fixture_pairs("optimizer/tpc-h/tpc-h.sql"))
cls.tpcds_sqls = list(load_sql_fixture_pairs("optimizer/tpc-ds/tpc-ds.sql"))
@classmethod
def tearDownClass(cls):
cls.tpch_conn.close()
cls.tpcds_conn.close()
def cached_execute(self, sql, tpch=True):
conn = self.tpch_conn if tpch else self.tpcds_conn
if sql not in self.cache:
self.cache[sql] = conn.execute(transpile(sql, write="duckdb")[0]).fetchdf()
return self.cache[sql]
def rename_anonymous(self, source, target):
for i, column in enumerate(source.columns):
if "_col_" in column:
source.rename(columns={column: target.columns[i]}, inplace=True)
def test_py_dialect(self):
generate = Python().generate
self.assertEqual(generate(parse_one("'x '''")), r"'x \''")
self.assertEqual(generate(parse_one("MAP([1], [2])")), "MAP([1], [2])")
self.assertEqual(generate(parse_one("1 is null")), "1 == None")
self.assertEqual(generate(parse_one("x is null")), "scope[None][x] is None")
def test_optimized_tpch(self):
for i, (_, sql, optimized) in enumerate(self.tpch_sqls, start=1):
with self.subTest(f"{i}, {sql}"):
a = self.cached_execute(sql, tpch=True)
b = self.tpch_conn.execute(transpile(optimized, write="duckdb")[0]).fetchdf()
self.rename_anonymous(b, a)
assert_frame_equal(a, b)
def subtestHelper(self, i, table, tpch=True):
with self.subTest(f"{'tpc-h' if tpch else 'tpc-ds'} {i + 1}"):
_, sql, _ = self.tpch_sqls[i] if tpch else self.tpcds_sqls[i]
a = self.cached_execute(sql, tpch=tpch)
b = pd.DataFrame(
((np.nan if c is None else c for c in r) for r in table.rows),
columns=table.columns,
)
assert_frame_equal(a, b, check_dtype=False, check_index_type=False)
def test_execute_tpch(self):
def to_csv(expression):
if isinstance(expression, exp.Table) and expression.name not in ("revenue"):
return parse_one(
f"READ_CSV('{DIR_TPCH}{expression.name}.csv.gz', 'delimiter', '|') AS {expression.alias_or_name}"
)
return expression
with Pool() as pool:
for i, table in enumerate(
pool.starmap(
execute,
(
(parse_one(sql).transform(to_csv).sql(pretty=True), TPCH_SCHEMA)
for _, sql, _ in self.tpch_sqls
),
)
):
self.subtestHelper(i, table, tpch=True)
def test_execute_tpcds(self):
def to_csv(expression):
if isinstance(expression, exp.Table) and os.path.exists(
f"{DIR_TPCDS}{expression.name}.csv.gz"
):
return parse_one(
f"READ_CSV('{DIR_TPCDS}{expression.name}.csv.gz', 'delimiter', '|') AS {expression.alias_or_name}"
)
return expression
for i, (meta, sql, _) in enumerate(self.tpcds_sqls):
if string_to_bool(meta.get("execute")):
table = execute(parse_one(sql).transform(to_csv).sql(pretty=True), TPCDS_SCHEMA)
self.subtestHelper(i, table, tpch=False)
def test_execute_callable(self):
tables = {
"x": [
{"a": "a", "b": "d"},
{"a": "b", "b": "e"},
{"a": "c", "b": "f"},
],
"y": [
{"b": "d", "c": "g"},
{"b": "e", "c": "h"},
{"b": "f", "c": "i"},
],
"z": [],
}
schema = {
"x": {
"a": "VARCHAR",
"b": "VARCHAR",
},
"y": {
"b": "VARCHAR",
"c": "VARCHAR",
},
"z": {"d": "VARCHAR"},
}
for sql, cols, rows in [
("SELECT * FROM x", ["a", "b"], [("a", "d"), ("b", "e"), ("c", "f")]),
(
"SELECT * FROM x JOIN y ON x.b = y.b",
["a", "b", "b", "c"],
[("a", "d", "d", "g"), ("b", "e", "e", "h"), ("c", "f", "f", "i")],
),
(
"SELECT j.c AS d FROM x AS i JOIN y AS j ON i.b = j.b",
["d"],
[("g",), ("h",), ("i",)],
),
(
"SELECT CONCAT(x.a, y.c) FROM x JOIN y ON x.b = y.b WHERE y.b = 'e'",
["_col_0"],
[("bh",)],
),
(
"SELECT * FROM x JOIN y ON x.b = y.b WHERE y.b = 'e'",
["a", "b", "b", "c"],
[("b", "e", "e", "h")],
),
(
"SELECT * FROM z",
["d"],
[],
),
(
"SELECT d FROM z ORDER BY d",
["d"],
[],
),
(
"SELECT a FROM x WHERE x.a <> 'b'",
["a"],
[("a",), ("c",)],
),
(
"SELECT a AS i FROM x ORDER BY a",
["i"],
[("a",), ("b",), ("c",)],
),
(
"SELECT a AS i FROM x ORDER BY i",
["i"],
[("a",), ("b",), ("c",)],
),
(
"SELECT 100 - ORD(a) AS a, a AS i FROM x ORDER BY a",
["a", "i"],
[(1, "c"), (2, "b"), (3, "a")],
),
(
"SELECT a /* test */ FROM x LIMIT 1",
["a"],
[("a",)],
),
(
"SELECT DISTINCT a FROM (SELECT 1 AS a UNION ALL SELECT 1 AS a)",
["a"],
[(1,)],
),
(
"SELECT DISTINCT a, SUM(b) AS b "
"FROM (SELECT 'a' AS a, 1 AS b UNION ALL SELECT 'a' AS a, 2 AS b UNION ALL SELECT 'b' AS a, 1 AS b) "
"GROUP BY a "
"LIMIT 1",
["a", "b"],
[("a", 3)],
),
(
"SELECT COUNT(1) AS a FROM (SELECT 1)",
["a"],
[(1,)],
),
(
"SELECT COUNT(1) AS a FROM (SELECT 1) LIMIT 0",
["a"],
[],
),
(
"SELECT a FROM x GROUP BY a LIMIT 0",
["a"],
[],
),
(
"SELECT a FROM x LIMIT 0",
["a"],
[],
),
]:
with self.subTest(sql):
result = execute(sql, schema=schema, tables=tables)
self.assertEqual(result.columns, tuple(cols))
self.assertEqual(result.rows, rows)
def test_set_operations(self):
tables = {
"x": [
{"a": "a"},
{"a": "b"},
{"a": "c"},
],
"y": [
{"a": "b"},
{"a": "c"},
{"a": "d"},
],
}
schema = {
"x": {
"a": "VARCHAR",
},
"y": {
"a": "VARCHAR",
},
}
for sql, cols, rows in [
(
"SELECT a FROM x UNION ALL SELECT a FROM y",
["a"],
[("a",), ("b",), ("c",), ("b",), ("c",), ("d",)],
),
(
"SELECT a FROM x UNION SELECT a FROM y",
["a"],
[("a",), ("b",), ("c",), ("d",)],
),
(
"SELECT a FROM x EXCEPT SELECT a FROM y",
["a"],
[("a",)],
),
(
"(SELECT a FROM x) EXCEPT (SELECT a FROM y)",
["a"],
[("a",)],
),
(
"SELECT a FROM x INTERSECT SELECT a FROM y",
["a"],
[("b",), ("c",)],
),
(
"""SELECT i.a
FROM (
SELECT a FROM x UNION SELECT a FROM y
) AS i
JOIN (
SELECT a FROM x UNION SELECT a FROM y
) AS j
ON i.a = j.a""",
["a"],
[("a",), ("b",), ("c",), ("d",)],
),
(
"SELECT 1 AS a UNION SELECT 2 AS a UNION SELECT 3 AS a",
["a"],
[(1,), (2,), (3,)],
),
(
"SELECT 1 / 2 AS a",
["a"],
[
(0.5,),
],
),
("SELECT 1 / 0 AS a", ["a"], ZeroDivisionError),
(
exp.select(
exp.alias_(exp.Literal.number(1).div(exp.Literal.number(2), typed=True), "a")
),
["a"],
[
(0,),
],
),
(
exp.select(
exp.alias_(exp.Literal.number(1).div(exp.Literal.number(0), safe=True), "a")
),
["a"],
[
(None,),
],
),
(
"SELECT a FROM x UNION ALL SELECT a FROM x LIMIT 1",
["a"],
[("a",)],
),
]:
with self.subTest(sql):
if isinstance(rows, list):
result = execute(sql, schema=schema, tables=tables)
self.assertEqual(result.columns, tuple(cols))
self.assertEqual(set(result.rows), set(rows))
else:
with self.assertRaises(ExecuteError) as ctx:
execute(sql, schema=schema, tables=tables)
self.assertIsInstance(ctx.exception.__cause__, rows)
def test_execute_catalog_db_table(self):
tables = {
"catalog": {
"db": {
"x": [
{"a": "a"},
{"a": "b"},
{"a": "c"},
],
}
}
}
schema = {
"catalog": {
"db": {
"x": {
"a": "VARCHAR",
}
}
}
}
result1 = execute("SELECT * FROM x", schema=schema, tables=tables)
result2 = execute("SELECT * FROM catalog.db.x", schema=schema, tables=tables)
assert result1.columns == result2.columns
assert result1.rows == result2.rows
def test_execute_tables(self):
tables = {
"sushi": [
{"id": 1, "price": 1.0},
{"id": 2, "price": 2.0},
{"id": 3, "price": 3.0},
],
"order_items": [
{"sushi_id": 1, "order_id": 1},
{"sushi_id": 1, "order_id": 1},
{"sushi_id": 2, "order_id": 1},
{"sushi_id": 3, "order_id": 2},
],
"orders": [
{"id": 1, "user_id": 1},
{"id": 2, "user_id": 2},
],
}
self.assertEqual(
execute(
"""
SELECT
o.user_id,
SUM(s.price) AS price
FROM orders o
JOIN order_items i
ON o.id = i.order_id
JOIN sushi s
ON i.sushi_id = s.id
GROUP BY o.user_id
""",
tables=tables,
).rows,
[
(1, 4.0),
(2, 3.0),
],
)
self.assertEqual(
execute(
"""
SELECT
o.id, x.*
FROM orders o
LEFT JOIN (
SELECT
1 AS id, 'b' AS x
UNION ALL
SELECT
3 AS id, 'c' AS x
) x
ON o.id = x.id
""",
tables=tables,
).rows,
[(1, 1, "b"), (2, None, None)],
)
self.assertEqual(
execute(
"""
SELECT
o.id, x.*
FROM orders o
RIGHT JOIN (
SELECT
1 AS id,
'b' AS x
UNION ALL
SELECT
3 AS id, 'c' AS x
) x
ON o.id = x.id
""",
tables=tables,
).rows,
[
(1, 1, "b"),
(None, 3, "c"),
],
)
def test_execute_subqueries(self):
tables = {
"table": [
{"a": 1, "b": 1},
{"a": 2, "b": 2},
],
}
self.assertEqual(
execute(
"""
SELECT *
FROM table
WHERE a = (SELECT MAX(a) FROM table)
""",
tables=tables,
).rows,
[
(2, 2),
],
)
table1_view = exp.Select().select("id", "sub_type").from_("table1").subquery()
select_from_sub_query = exp.Select().select("id AS id_alias", "sub_type").from_(table1_view)
expression = exp.Select().select("*").from_("cte1").with_("cte1", as_=select_from_sub_query)
schema = {"table1": {"id": "str", "sub_type": "str"}}
executed = execute(expression, tables={t: [] for t in schema}, schema=schema)
self.assertEqual(executed.rows, [])
self.assertEqual(executed.columns, ("id_alias", "sub_type"))
def test_correlated_count(self):
tables = {
"parts": [{"pnum": 0, "qoh": 1}],
"supplies": [],
}
schema = {
"parts": {"pnum": "int", "qoh": "int"},
"supplies": {"pnum": "int", "shipdate": "int"},
}
self.assertEqual(
execute(
"""
select *
from parts
where parts.qoh >= (
select count(supplies.shipdate) + 1
from supplies
where supplies.pnum = parts.pnum and supplies.shipdate < 10
)
""",
tables=tables,
schema=schema,
).rows,
[
(0, 1),
],
)
def test_table_depth_mismatch(self):
tables = {"table": []}
schema = {"db": {"table": {"col": "VARCHAR"}}}
with self.assertRaises(ExecuteError):
execute("SELECT * FROM table", schema=schema, tables=tables)
def test_tables(self):
tables = ensure_tables(
{
"catalog1": {
"db1": {
"t1": [
{"a": 1},
],
"t2": [
{"a": 1},
],
},
"db2": {
"t3": [
{"a": 1},
],
"t4": [
{"a": 1},
],
},
},
"catalog2": {
"db3": {
"t5": Table(columns=("a",), rows=[(1,)]),
"t6": Table(columns=("a",), rows=[(1,)]),
},
"db4": {
"t7": Table(columns=("a",), rows=[(1,)]),
"t8": Table(columns=("a",), rows=[(1,)]),
},
},
}
)
t1 = tables.find(exp.table_(table="t1", db="db1", catalog="catalog1"))
self.assertEqual(t1.columns, ("a",))
self.assertEqual(t1.rows, [(1,)])
t8 = tables.find(exp.table_(table="t8"))
self.assertEqual(t1.columns, t8.columns)
self.assertEqual(t1.rows, t8.rows)
def test_static_queries(self):
for sql, cols, rows in [
("SELECT 1", ["1"], [(1,)]),
("SELECT 1 + 2 AS x", ["x"], [(3,)]),
("SELECT CONCAT('a', 'b') AS x", ["x"], [("ab",)]),
("SELECT CONCAT('a', 1) AS x", ["x"], [("a1",)]),
("SELECT 1 AS x, 2 AS y", ["x", "y"], [(1, 2)]),
("SELECT 'foo' LIMIT 1", ["foo"], [("foo",)]),
(
"SELECT SUM(x), COUNT(x) FROM (SELECT 1 AS x WHERE FALSE)",
["_col_0", "_col_1"],
[(None, 0)],
),
]:
with self.subTest(sql):
result = execute(sql)
self.assertEqual(result.columns, tuple(cols))
self.assertEqual(result.rows, rows)
def test_aggregate_without_group_by(self):
result = execute("SELECT SUM(x) FROM t", tables={"t": [{"x": 1}, {"x": 2}]})
self.assertEqual(result.columns, ("_col_0",))
self.assertEqual(result.rows, [(3,)])
def test_scalar_functions(self):
now = datetime.datetime.now()
for sql, expected in [
("CONCAT('a', 'b')", "ab"),
("CONCAT('a', NULL)", None),
("CONCAT_WS('_', 'a', 'b')", "a_b"),
("STR_POSITION('foobarbar', 'bar')", 4),
("STR_POSITION('foobarbar', 'bar', 5)", 7),
("STR_POSITION('foobarbar', NULL)", None),
("STR_POSITION(NULL, 'bar')", None),
("UPPER('foo')", "FOO"),
("UPPER(NULL)", None),
("LOWER('FOO')", "foo"),
("LOWER(NULL)", None),
("IFNULL('a', 'b')", "a"),
("IFNULL(NULL, 'b')", "b"),
("IFNULL(NULL, NULL)", None),
("SUBSTRING('12345')", "12345"),
("SUBSTRING('12345', 3)", "345"),
("SUBSTRING('12345', 3, 0)", ""),
("SUBSTRING('12345', 3, 1)", "3"),
("SUBSTRING('12345', 3, 2)", "34"),
("SUBSTRING('12345', 3, 3)", "345"),
("SUBSTRING('12345', 3, 4)", "345"),
("SUBSTRING('12345', -3)", "345"),
("SUBSTRING('12345', -3, 0)", ""),
("SUBSTRING('12345', -3, 1)", "3"),
("SUBSTRING('12345', -3, 2)", "34"),
("SUBSTRING('12345', 0)", ""),
("SUBSTRING('12345', 0, 1)", ""),
("SUBSTRING(NULL)", None),
("SUBSTRING(NULL, 1)", None),
("CAST(1 AS TEXT)", "1"),
("CAST('1' AS LONG)", 1),
("CAST('1.1' AS FLOAT)", 1.1),
("CAST('12:05:01' AS TIME)", time(12, 5, 1)),
("COALESCE(NULL)", None),
("COALESCE(NULL, NULL)", None),
("COALESCE(NULL, 'b')", "b"),
("COALESCE('a', 'b')", "a"),
("1 << 1", 2),
("1 >> 1", 0),
("1 & 1", 1),
("1 | 1", 1),
("1 < 1", False),
("1 <= 1", True),
("1 > 1", False),
("1 >= 1", True),
("1 + NULL", None),
("IF(true, 1, 0)", 1),
("IF(false, 1, 0)", 0),
("CASE WHEN 0 = 1 THEN 'foo' ELSE 'bar' END", "bar"),
("CAST('2022-01-01' AS DATE) + INTERVAL '1' DAY", date(2022, 1, 2)),
("INTERVAL '1' week", datetime.timedelta(weeks=1)),
("1 IN (1, 2, 3)", True),
("1 IN (2, 3)", False),
("1 IN (1)", True),
("NULL IS NULL", True),
("NULL IS NOT NULL", False),
("NULL = NULL", None),
("NULL <> NULL", None),
("YEAR(CURRENT_TIMESTAMP)", now.year),
("MONTH(CURRENT_TIME)", now.month),
("DAY(CURRENT_DATETIME())", now.day),
("YEAR(CURRENT_DATE())", now.year),
("MONTH(CURRENT_DATE())", now.month),
("DAY(CURRENT_DATE())", now.day),
("YEAR(CURRENT_TIMESTAMP) + 1", now.year + 1),
(
"YEAR(CURRENT_TIMESTAMP) IN (YEAR(CURRENT_TIMESTAMP) + 1, YEAR(CURRENT_TIMESTAMP) * 10)",
False,
),
("YEAR(CURRENT_TIMESTAMP) = (YEAR(CURRENT_TIMESTAMP))", True),
("YEAR(CURRENT_TIMESTAMP) <> (YEAR(CURRENT_TIMESTAMP))", False),
("YEAR(CURRENT_DATE()) + 1", now.year + 1),
(
"YEAR(CURRENT_DATE()) IN (YEAR(CURRENT_DATE()) + 1, YEAR(CURRENT_DATE()) * 10)",
False,
),
("YEAR(CURRENT_DATE()) = (YEAR(CURRENT_DATE()))", True),
("YEAR(CURRENT_DATE()) <> (YEAR(CURRENT_DATE()))", False),
("1::bool", True),
("0::bool", False),
("MAP(['a'], [1]).a", 1),
("MAP()", {}),
("STRFTIME('%j', '2023-03-23 15:00:00')", "082"),
("STRFTIME('%j', NULL)", None),
("DATESTRTODATE('2022-01-01')", date(2022, 1, 1)),
("TIMESTRTOTIME('2022-01-01')", datetime.datetime(2022, 1, 1)),
("LEFT('12345', 3)", "123"),
("RIGHT('12345', 3)", "345"),
("DATEDIFF('2022-01-03'::date, '2022-01-01'::TIMESTAMP::DATE)", 2),
("TRIM(' foo ')", "foo"),
("TRIM('afoob', 'ab')", "foo"),
("ARRAY_JOIN(['foo', 'bar'], ':')", "foo:bar"),
("ARRAY_JOIN(['hello', null ,'world'], ' ', ',')", "hello , world"),
("ARRAY_JOIN(['', null ,'world'], ' ', ',')", " , world"),
("STRUCT('foo', 'bar', null, null)", {"foo": "bar"}),
("ROUND(1.5)", 2),
("ROUND(1.2)", 1),
("ROUND(1.2345, 2)", 1.23),
("ROUND(NULL)", None),
(
"UNIXTOTIME(1659981729)",
datetime.datetime(2022, 8, 8, 18, 2, 9, tzinfo=datetime.timezone.utc),
),
("TIMESTRTOTIME('2013-04-05 01:02:03')", datetime.datetime(2013, 4, 5, 1, 2, 3)),
(
"UNIXTOTIME(40 * 365 * 86400)",
datetime.datetime(2009, 12, 22, 00, 00, 00, tzinfo=datetime.timezone.utc),
),
(
"STRTOTIME('08/03/2024 12:34:56', '%d/%m/%Y %H:%M:%S')",
datetime.datetime(2024, 3, 8, 12, 34, 56),
),
("STRTOTIME('27/01/2024', '%d/%m/%Y')", datetime.datetime(2024, 1, 27)),
]:
with self.subTest(sql):
result = execute(f"SELECT {sql}")
self.assertEqual(result.rows, [(expected,)])
def test_case_sensitivity(self):
result = execute("SELECT A AS A FROM X", tables={"x": [{"a": 1}]})
self.assertEqual(result.columns, ("a",))
self.assertEqual(result.rows, [(1,)])
result = execute('SELECT A AS "A" FROM X', tables={"x": [{"a": 1}]})
self.assertEqual(result.columns, ("A",))
self.assertEqual(result.rows, [(1,)])
def test_nested_table_reference(self):
tables = {
"some_catalog": {
"some_schema": {
"some_table": [
{"id": 1, "price": 1.0},
{"id": 2, "price": 2.0},
{"id": 3, "price": 3.0},
]
}
}
}
result = execute("SELECT * FROM some_catalog.some_schema.some_table s", tables=tables)
self.assertEqual(result.columns, ("id", "price"))
self.assertEqual(result.rows, [(1, 1.0), (2, 2.0), (3, 3.0)])
def test_group_by(self):
tables = {
"x": [
{"a": 1, "b": 10},
{"a": 2, "b": 20},
{"a": 3, "b": 28},
{"a": 2, "b": 25},
{"a": 1, "b": 40},
],
}
for sql, expected, columns in (
(
"SELECT a, AVG(b) FROM x GROUP BY a ORDER BY AVG(b)",
[(2, 22.5), (1, 25.0), (3, 28.0)],
("a", "_col_1"),
),
(
"SELECT a, AVG(b) FROM x GROUP BY a having avg(b) > 23",
[(1, 25.0), (3, 28.0)],
("a", "_col_1"),
),
(
"SELECT a, AVG(b) FROM x GROUP BY a having avg(b + 1) > 23",
[(1, 25.0), (2, 22.5), (3, 28.0)],
("a", "_col_1"),
),
(
"SELECT a, AVG(b) FROM x GROUP BY a having sum(b) + 5 > 50",
[(1, 25.0)],
("a", "_col_1"),
),
(
"SELECT a + 1 AS a, AVG(b + 1) FROM x GROUP BY a + 1 having AVG(b + 1) > 26",
[(4, 29.0)],
("a", "_col_1"),
),
(
"SELECT a, avg(b) FROM x GROUP BY a HAVING a = 1",
[(1, 25.0)],
("a", "_col_1"),
),
(
"SELECT a + 1, avg(b) FROM x GROUP BY a + 1 HAVING a + 1 = 2",
[(2, 25.0)],
("_col_0", "_col_1"),
),
(
"SELECT a FROM x GROUP BY a ORDER BY AVG(b)",
[(2,), (1,), (3,)],
("a",),
),
(
"SELECT a, SUM(b) FROM x GROUP BY a ORDER BY COUNT(*)",
[(3, 28), (1, 50), (2, 45)],
("a", "_col_1"),
),
(
"SELECT a, SUM(b) FROM x GROUP BY a ORDER BY COUNT(*) DESC",
[(1, 50), (2, 45), (3, 28)],
("a", "_col_1"),
),
(
"SELECT a, ARRAY_UNIQUE_AGG(b) FROM x GROUP BY a",
[(1, [40, 10]), (2, [25, 20]), (3, [28])],
("a", "_col_1"),
),
):
with self.subTest(sql):
result = execute(sql, tables=tables)
self.assertEqual(result.columns, columns)
self.assertEqual(result.rows, expected)
def test_nested_values(self):
tables = {"foo": [{"raw": {"name": "Hello, World", "a": [{"b": 1}]}}]}
result = execute("SELECT raw:name AS name FROM foo", read="snowflake", tables=tables)
self.assertEqual(result.columns, ("NAME",))
self.assertEqual(result.rows, [("Hello, World",)])
result = execute("SELECT raw:a[0].b AS b FROM foo", read="snowflake", tables=tables)
self.assertEqual(result.columns, ("B",))
self.assertEqual(result.rows, [(1,)])
result = execute("SELECT raw:a[1].b AS b FROM foo", read="snowflake", tables=tables)
self.assertEqual(result.columns, ("B",))
self.assertEqual(result.rows, [(None,)])
result = execute("SELECT raw:a[0].c AS c FROM foo", read="snowflake", tables=tables)
self.assertEqual(result.columns, ("C",))
self.assertEqual(result.rows, [(None,)])
tables = {
'"ITEM"': [
{"id": 1, "attributes": {"flavor": "cherry", "taste": "sweet"}},
{"id": 2, "attributes": {"flavor": "lime", "taste": "sour"}},
{"id": 3, "attributes": {"flavor": "apple", "taste": None}},
]
}
result = execute("SELECT i.attributes.flavor FROM `ITEM` i", read="bigquery", tables=tables)
self.assertEqual(result.columns, ("flavor",))
self.assertEqual(result.rows, [("cherry",), ("lime",), ("apple",)])
tables = {"t": [{"x": [1, 2, 3]}]}
result = execute("SELECT x FROM t", dialect="duckdb", tables=tables)
self.assertEqual(result.columns, ("x",))
self.assertEqual(result.rows, [([1, 2, 3],)])
def test_agg_order(self):
plan = Plan(
optimize("""
SELECT
AVG(bill_length_mm) AS avg_bill_length,
AVG(bill_depth_mm) AS avg_bill_depth
FROM penguins
""")
)
assert [agg.alias for agg in plan.root.aggregations] == [
"avg_bill_length",
"avg_bill_depth",
]