9cc6ff9c4e
The problem was that the gateway was being initialized whenever the pyspark.context module was loaded. The fix uses lazy initialization that occurs only when SparkContext instances are actually constructed. I also made the gateway and jvm variables private. This change results in ~3-4x performance improvement when running the PySpark unit tests.
122 lines
4.2 KiB
Python
122 lines
4.2 KiB
Python
"""
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Unit tests for PySpark; additional tests are implemented as doctests in
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individual modules.
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"""
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import os
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import shutil
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import sys
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from tempfile import NamedTemporaryFile
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import time
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import unittest
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from pyspark.context import SparkContext
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from pyspark.files import SparkFiles
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from pyspark.java_gateway import SPARK_HOME
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class PySparkTestCase(unittest.TestCase):
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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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self.sc = SparkContext('local[4]', class_name , batchSize=2)
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def tearDown(self):
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self.sc.stop()
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sys.path = self._old_sys_path
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# To avoid Akka rebinding to the same port, since it doesn't unbind
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# immediately on shutdown
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self.sc._jvm.System.clearProperty("spark.driver.port")
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class TestCheckpoint(PySparkTestCase):
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def setUp(self):
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PySparkTestCase.setUp(self)
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self.checkpointDir = NamedTemporaryFile(delete=False)
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os.unlink(self.checkpointDir.name)
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self.sc.setCheckpointDir(self.checkpointDir.name)
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def tearDown(self):
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PySparkTestCase.tearDown(self)
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shutil.rmtree(self.checkpointDir.name)
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def test_basic_checkpointing(self):
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parCollection = self.sc.parallelize([1, 2, 3, 4])
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flatMappedRDD = parCollection.flatMap(lambda x: range(1, x + 1))
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self.assertFalse(flatMappedRDD.isCheckpointed())
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self.assertIsNone(flatMappedRDD.getCheckpointFile())
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flatMappedRDD.checkpoint()
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result = flatMappedRDD.collect()
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time.sleep(1) # 1 second
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self.assertTrue(flatMappedRDD.isCheckpointed())
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self.assertEqual(flatMappedRDD.collect(), result)
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self.assertEqual(self.checkpointDir.name,
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os.path.dirname(flatMappedRDD.getCheckpointFile()))
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def test_checkpoint_and_restore(self):
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parCollection = self.sc.parallelize([1, 2, 3, 4])
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flatMappedRDD = parCollection.flatMap(lambda x: [x])
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self.assertFalse(flatMappedRDD.isCheckpointed())
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self.assertIsNone(flatMappedRDD.getCheckpointFile())
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flatMappedRDD.checkpoint()
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flatMappedRDD.count() # forces a checkpoint to be computed
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time.sleep(1) # 1 second
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self.assertIsNotNone(flatMappedRDD.getCheckpointFile())
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recovered = self.sc._checkpointFile(flatMappedRDD.getCheckpointFile())
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self.assertEquals([1, 2, 3, 4], recovered.collect())
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class TestAddFile(PySparkTestCase):
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def test_add_py_file(self):
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# To ensure that we're actually testing addPyFile's effects, check that
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# this job fails due to `userlibrary` not being on the Python path:
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def func(x):
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from userlibrary import UserClass
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return UserClass().hello()
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self.assertRaises(Exception,
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self.sc.parallelize(range(2)).map(func).first)
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# Add the file, so the job should now succeed:
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path = os.path.join(SPARK_HOME, "python/test_support/userlibrary.py")
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self.sc.addPyFile(path)
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res = self.sc.parallelize(range(2)).map(func).first()
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self.assertEqual("Hello World!", res)
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def test_add_file_locally(self):
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path = os.path.join(SPARK_HOME, "python/test_support/hello.txt")
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self.sc.addFile(path)
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download_path = SparkFiles.get("hello.txt")
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self.assertNotEqual(path, download_path)
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with open(download_path) as test_file:
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self.assertEquals("Hello World!\n", test_file.readline())
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def test_add_py_file_locally(self):
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# To ensure that we're actually testing addPyFile's effects, check that
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# this fails due to `userlibrary` not being on the Python path:
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def func():
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from userlibrary import UserClass
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self.assertRaises(ImportError, func)
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path = os.path.join(SPARK_HOME, "python/test_support/userlibrary.py")
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self.sc.addFile(path)
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from userlibrary import UserClass
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self.assertEqual("Hello World!", UserClass().hello())
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class TestIO(PySparkTestCase):
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def test_stdout_redirection(self):
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import subprocess
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def func(x):
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subprocess.check_call('ls', shell=True)
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self.sc.parallelize([1]).foreach(func)
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if __name__ == "__main__":
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unittest.main()
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