blob: f3225fcb7f2dd17faccf78d4403cb194f20facdd [file] [log] [blame]
#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import unittest
from pyspark.sql import functions as sf
from pyspark.sql.tests.test_subquery import SubqueryTestsMixin
from pyspark.testing import assertDataFrameEqual
from pyspark.testing.connectutils import ReusedConnectTestCase
class SubqueryParityTests(SubqueryTestsMixin, ReusedConnectTestCase):
def test_scalar_subquery_with_missing_outer_reference(self):
with self.tempView("l", "r"):
self.df1.createOrReplaceTempView("l")
self.df2.createOrReplaceTempView("r")
assertDataFrameEqual(
self.spark.table("l").select(
"a",
(
self.spark.table("r")
.where(sf.col("c") == sf.col("a"))
.select(sf.sum("d"))
.scalar()
),
),
self.spark.sql("""SELECT a, (SELECT sum(d) FROM r WHERE c = a) FROM l"""),
)
def test_subquery_in_unpivot(self):
self.check_subquery_in_unpivot(None, None)
if __name__ == "__main__":
from pyspark.sql.tests.connect.test_parity_subquery import * # noqa: F401
try:
import xmlrunner # type: ignore
testRunner = xmlrunner.XMLTestRunner(output="target/test-reports", verbosity=2)
except ImportError:
testRunner = None
unittest.main(testRunner=testRunner, verbosity=2)