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>
113 lines
3.6 KiB
Python
113 lines
3.6 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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import os
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import sys
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import tempfile
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import unittest
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from pyspark import SparkConf, SparkContext, BasicProfiler
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from pyspark.testing.utils import PySparkTestCase
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if sys.version >= "3":
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from io import StringIO
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else:
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from StringIO import StringIO
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class ProfilerTests(PySparkTestCase):
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def setUp(self):
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self._old_sys_path = list(sys.path)
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class_name = self.__class__.__name__
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conf = SparkConf().set("spark.python.profile", "true")
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self.sc = SparkContext('local[4]', class_name, conf=conf)
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def test_profiler(self):
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self.do_computation()
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profilers = self.sc.profiler_collector.profilers
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self.assertEqual(1, len(profilers))
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id, profiler, _ = profilers[0]
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stats = profiler.stats()
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self.assertTrue(stats is not None)
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width, stat_list = stats.get_print_list([])
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func_names = [func_name for fname, n, func_name in stat_list]
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self.assertTrue("heavy_foo" in func_names)
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old_stdout = sys.stdout
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sys.stdout = io = StringIO()
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self.sc.show_profiles()
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self.assertTrue("heavy_foo" in io.getvalue())
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sys.stdout = old_stdout
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d = tempfile.gettempdir()
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self.sc.dump_profiles(d)
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self.assertTrue("rdd_%d.pstats" % id in os.listdir(d))
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def test_custom_profiler(self):
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class TestCustomProfiler(BasicProfiler):
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def show(self, id):
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self.result = "Custom formatting"
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self.sc.profiler_collector.profiler_cls = TestCustomProfiler
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self.do_computation()
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profilers = self.sc.profiler_collector.profilers
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self.assertEqual(1, len(profilers))
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_, profiler, _ = profilers[0]
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self.assertTrue(isinstance(profiler, TestCustomProfiler))
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self.sc.show_profiles()
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self.assertEqual("Custom formatting", profiler.result)
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def do_computation(self):
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def heavy_foo(x):
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for i in range(1 << 18):
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x = 1
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rdd = self.sc.parallelize(range(100))
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rdd.foreach(heavy_foo)
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class ProfilerTests2(unittest.TestCase):
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def test_profiler_disabled(self):
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sc = SparkContext(conf=SparkConf().set("spark.python.profile", "false"))
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try:
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self.assertRaisesRegexp(
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RuntimeError,
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"'spark.python.profile' configuration must be set",
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lambda: sc.show_profiles())
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self.assertRaisesRegexp(
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RuntimeError,
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"'spark.python.profile' configuration must be set",
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lambda: sc.dump_profiles("/tmp/abc"))
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finally:
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sc.stop()
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if __name__ == "__main__":
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from pyspark.tests.test_profiler 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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