aeb3649fb9
### What changes were proposed in this pull request? This replaces deprecated API usage in PySpark tests with the preferred APIs. These have been deprecated for some time and usage is not consistent within tests. - https://docs.python.org/3/library/unittest.html#deprecated-aliases ### Why are the changes needed? For consistency and eventual removal of deprecated APIs. ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Existing tests Closes #30557 from BryanCutler/replace-deprecated-apis-in-tests. Authored-by: Bryan Cutler <cutlerb@gmail.com> Signed-off-by: HyukjinKwon <gurwls223@apache.org>
109 lines
3.6 KiB
Python
109 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 io import StringIO
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from pyspark import SparkConf, SparkContext, BasicProfiler
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from pyspark.testing.utils import PySparkTestCase
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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.assertRaisesRegex(
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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.assertRaisesRegex(
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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 * # noqa: F401
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try:
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import xmlrunner # type: ignore[import]
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
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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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