31a16fbb40
### What changes were proposed in this pull request? This PR proposes migration of [`pyspark-stubs`](https://github.com/zero323/pyspark-stubs) into Spark codebase. ### Why are the changes needed? ### Does this PR introduce _any_ user-facing change? Yes. This PR adds type annotations directly to Spark source. This can impact interaction with development tools for users, which haven't used `pyspark-stubs`. ### How was this patch tested? - [x] MyPy tests of the PySpark source ``` mypy --no-incremental --config python/mypy.ini python/pyspark ``` - [x] MyPy tests of Spark examples ``` MYPYPATH=python/ mypy --no-incremental --config python/mypy.ini examples/src/main/python/ml examples/src/main/python/sql examples/src/main/python/sql/streaming ``` - [x] Existing Flake8 linter - [x] Existing unit tests Tested against: - `mypy==0.790+dev.e959952d9001e9713d329a2f9b196705b028f894` - `mypy==0.782` Closes #29591 from zero323/SPARK-32681. Authored-by: zero323 <mszymkiewicz@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.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 * # 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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