03306a6df3
## What changes were proposed in this pull request? This PR continues to break down a big large file into smaller files. See https://github.com/apache/spark/pull/23021. It targets to follow https://github.com/numpy/numpy/tree/master/numpy. Basically this PR proposes to break down `pyspark/tests.py` into ...: ``` pyspark ... ├── testing ... │ └── utils.py ├── tests │ ├── __init__.py │ ├── test_appsubmit.py │ ├── test_broadcast.py │ ├── test_conf.py │ ├── test_context.py │ ├── test_daemon.py │ ├── test_join.py │ ├── test_profiler.py │ ├── test_rdd.py │ ├── test_readwrite.py │ ├── test_serializers.py │ ├── test_shuffle.py │ ├── test_taskcontext.py │ ├── test_util.py │ └── test_worker.py ... ``` ## How was this patch tested? Existing tests should cover. `cd python` and .`/run-tests-with-coverage`. Manually checked they are actually being ran. Each test (not officially) can be ran via: ```bash SPARK_TESTING=1 ./bin/pyspark pyspark.tests.test_context ``` Note that if you're using Mac and Python 3, you might have to `OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES`. Closes #23033 from HyukjinKwon/SPARK-26036. Authored-by: hyukjinkwon <gurwls223@apache.org> Signed-off-by: hyukjinkwon <gurwls223@apache.org>
70 lines
2.8 KiB
Python
70 lines
2.8 KiB
Python
#
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# Licensed to the Apache Software Foundation (ASF) under one or more
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# contributor license agreements. See the NOTICE file distributed with
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# this work for additional information regarding copyright ownership.
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# The ASF licenses this file to You under the Apache License, Version 2.0
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# (the "License"); you may not use this file except in compliance with
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# the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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#
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from pyspark.testing.utils import ReusedPySparkTestCase
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class JoinTests(ReusedPySparkTestCase):
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def test_narrow_dependency_in_join(self):
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rdd = self.sc.parallelize(range(10)).map(lambda x: (x, x))
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parted = rdd.partitionBy(2)
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self.assertEqual(2, parted.union(parted).getNumPartitions())
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self.assertEqual(rdd.getNumPartitions() + 2, parted.union(rdd).getNumPartitions())
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self.assertEqual(rdd.getNumPartitions() + 2, rdd.union(parted).getNumPartitions())
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tracker = self.sc.statusTracker()
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self.sc.setJobGroup("test1", "test", True)
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d = sorted(parted.join(parted).collect())
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self.assertEqual(10, len(d))
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self.assertEqual((0, (0, 0)), d[0])
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jobId = tracker.getJobIdsForGroup("test1")[0]
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self.assertEqual(2, len(tracker.getJobInfo(jobId).stageIds))
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self.sc.setJobGroup("test2", "test", True)
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d = sorted(parted.join(rdd).collect())
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self.assertEqual(10, len(d))
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self.assertEqual((0, (0, 0)), d[0])
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jobId = tracker.getJobIdsForGroup("test2")[0]
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self.assertEqual(3, len(tracker.getJobInfo(jobId).stageIds))
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self.sc.setJobGroup("test3", "test", True)
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d = sorted(parted.cogroup(parted).collect())
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self.assertEqual(10, len(d))
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self.assertEqual([[0], [0]], list(map(list, d[0][1])))
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jobId = tracker.getJobIdsForGroup("test3")[0]
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self.assertEqual(2, len(tracker.getJobInfo(jobId).stageIds))
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self.sc.setJobGroup("test4", "test", True)
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d = sorted(parted.cogroup(rdd).collect())
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self.assertEqual(10, len(d))
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self.assertEqual([[0], [0]], list(map(list, d[0][1])))
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jobId = tracker.getJobIdsForGroup("test4")[0]
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self.assertEqual(3, len(tracker.getJobInfo(jobId).stageIds))
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if __name__ == "__main__":
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import unittest
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from pyspark.tests.test_join import *
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try:
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import xmlrunner
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports')
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except ImportError:
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testRunner = None
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unittest.main(testRunner=testRunner, verbosity=2)
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