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#
# 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.
#
from pyspark.testing.utils import ReusedPySparkTestCase
class JoinTests(ReusedPySparkTestCase):
def test_narrow_dependency_in_join(self):
rdd = self.sc.parallelize(range(10)).map(lambda x: (x, x))
parted = rdd.partitionBy(2)
self.assertEqual(2, parted.union(parted).getNumPartitions())
self.assertEqual(rdd.getNumPartitions() + 2, parted.union(rdd).getNumPartitions())
self.assertEqual(rdd.getNumPartitions() + 2, rdd.union(parted).getNumPartitions())
tracker = self.sc.statusTracker()
self.sc.setJobGroup("test1", "test", True)
d = sorted(parted.join(parted).collect())
self.assertEqual(10, len(d))
self.assertEqual((0, (0, 0)), d[0])
jobId = tracker.getJobIdsForGroup("test1")[0]
self.assertEqual(2, len(tracker.getJobInfo(jobId).stageIds))
self.sc.setJobGroup("test2", "test", True)
d = sorted(parted.join(rdd).collect())
self.assertEqual(10, len(d))
self.assertEqual((0, (0, 0)), d[0])
jobId = tracker.getJobIdsForGroup("test2")[0]
self.assertEqual(3, len(tracker.getJobInfo(jobId).stageIds))
self.sc.setJobGroup("test3", "test", True)
d = sorted(parted.cogroup(parted).collect())
self.assertEqual(10, len(d))
self.assertEqual([[0], [0]], list(map(list, d[0][1])))
jobId = tracker.getJobIdsForGroup("test3")[0]
self.assertEqual(2, len(tracker.getJobInfo(jobId).stageIds))
self.sc.setJobGroup("test4", "test", True)
d = sorted(parted.cogroup(rdd).collect())
self.assertEqual(10, len(d))
self.assertEqual([[0], [0]], list(map(list, d[0][1])))
jobId = tracker.getJobIdsForGroup("test4")[0]
self.assertEqual(3, len(tracker.getJobInfo(jobId).stageIds))
if __name__ == "__main__":
import unittest
from pyspark.tests.test_join import * # noqa: F401
try:
import xmlrunner # type: ignore[import]
testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
except ImportError:
testRunner = None
unittest.main(testRunner=testRunner, verbosity=2)
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