spark-instrumented-optimizer/python/pyspark/tests.py

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# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
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#    http://www.apache.org/licenses/LICENSE-2.0
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"""
Unit tests for PySpark; additional tests are implemented as doctests in
individual modules.
"""
from fileinput import input
from glob import glob
import os
import shutil
import sys
from tempfile import NamedTemporaryFile
import time
import unittest

from pyspark.context import SparkContext
from pyspark.files import SparkFiles
from pyspark.java_gateway import SPARK_HOME
from pyspark.serializers import read_int


class PySparkTestCase(unittest.TestCase):

    def setUp(self):
        self._old_sys_path = list(sys.path)
        class_name = self.__class__.__name__
        self.sc = SparkContext('local[4]', class_name , batchSize=2)

    def tearDown(self):
        self.sc.stop()
        sys.path = self._old_sys_path
        # To avoid Akka rebinding to the same port, since it doesn't unbind
        # immediately on shutdown
        self.sc._jvm.System.clearProperty("spark.driver.port")


class TestCheckpoint(PySparkTestCase):

    def setUp(self):
        PySparkTestCase.setUp(self)
        self.checkpointDir = NamedTemporaryFile(delete=False)
        os.unlink(self.checkpointDir.name)
        self.sc.setCheckpointDir(self.checkpointDir.name)

    def tearDown(self):
        PySparkTestCase.tearDown(self)
        shutil.rmtree(self.checkpointDir.name)

    def test_basic_checkpointing(self):
        parCollection = self.sc.parallelize([1, 2, 3, 4])
        flatMappedRDD = parCollection.flatMap(lambda x: range(1, x + 1))

        self.assertFalse(flatMappedRDD.isCheckpointed())
        self.assertTrue(flatMappedRDD.getCheckpointFile() is None)

        flatMappedRDD.checkpoint()
        result = flatMappedRDD.collect()
        time.sleep(1)  # 1 second
        self.assertTrue(flatMappedRDD.isCheckpointed())
        self.assertEqual(flatMappedRDD.collect(), result)
        self.assertEqual("file:" + self.checkpointDir.name,
                         os.path.dirname(os.path.dirname(flatMappedRDD.getCheckpointFile())))

    def test_checkpoint_and_restore(self):
        parCollection = self.sc.parallelize([1, 2, 3, 4])
        flatMappedRDD = parCollection.flatMap(lambda x: [x])

        self.assertFalse(flatMappedRDD.isCheckpointed())
        self.assertTrue(flatMappedRDD.getCheckpointFile() is None)

        flatMappedRDD.checkpoint()
        flatMappedRDD.count()  # forces a checkpoint to be computed
        time.sleep(1)  # 1 second

        self.assertTrue(flatMappedRDD.getCheckpointFile() is not None)
        recovered = self.sc._checkpointFile(flatMappedRDD.getCheckpointFile(),
                                            flatMappedRDD._jrdd_deserializer)
        self.assertEquals([1, 2, 3, 4], recovered.collect())


class TestAddFile(PySparkTestCase):

    def test_add_py_file(self):
        # To ensure that we're actually testing addPyFile's effects, check that
        # this job fails due to `userlibrary` not being on the Python path:
        def func(x):
            from userlibrary import UserClass
            return UserClass().hello()
        self.assertRaises(Exception,
                          self.sc.parallelize(range(2)).map(func).first)
        # Add the file, so the job should now succeed:
        path = os.path.join(SPARK_HOME, "python/test_support/userlibrary.py")
        self.sc.addPyFile(path)
        res = self.sc.parallelize(range(2)).map(func).first()
        self.assertEqual("Hello World!", res)

    def test_add_file_locally(self):
        path = os.path.join(SPARK_HOME, "python/test_support/hello.txt")
        self.sc.addFile(path)
        download_path = SparkFiles.get("hello.txt")
        self.assertNotEqual(path, download_path)
        with open(download_path) as test_file:
            self.assertEquals("Hello World!\n", test_file.readline())

    def test_add_py_file_locally(self):
        # To ensure that we're actually testing addPyFile's effects, check that
        # this fails due to `userlibrary` not being on the Python path:
        def func():
            from userlibrary import UserClass
        self.assertRaises(ImportError, func)
        path = os.path.join(SPARK_HOME, "python/test_support/userlibrary.py")
        self.sc.addFile(path)
        from userlibrary import UserClass
        self.assertEqual("Hello World!", UserClass().hello())

    def test_add_egg_file_locally(self):
        # To ensure that we're actually testing addPyFile's effects, check that
        # this fails due to `userlibrary` not being on the Python path:
        def func():
            from userlib import UserClass
        self.assertRaises(ImportError, func)
        path = os.path.join(SPARK_HOME, "python/test_support/userlib-0.1-py2.7.egg")
        self.sc.addPyFile(path)
        from userlib import UserClass
        self.assertEqual("Hello World from inside a package!", UserClass().hello())


class TestRDDFunctions(PySparkTestCase):

    def test_save_as_textfile_with_unicode(self):
        # Regression test for SPARK-970
        x = u"\u00A1Hola, mundo!"
        data = self.sc.parallelize([x])
        tempFile = NamedTemporaryFile(delete=True)
        tempFile.close()
        data.saveAsTextFile(tempFile.name)
        raw_contents = ''.join(input(glob(tempFile.name + "/part-0000*")))
        self.assertEqual(x, unicode(raw_contents.strip(), "utf-8"))

    def test_transforming_cartesian_result(self):
        # Regression test for SPARK-1034
        rdd1 = self.sc.parallelize([1, 2])
        rdd2 = self.sc.parallelize([3, 4])
        cart = rdd1.cartesian(rdd2)
        result = cart.map(lambda (x, y): x + y).collect()

    def test_cartesian_on_textfile(self):
        # Regression test for
        path = os.path.join(SPARK_HOME, "python/test_support/hello.txt")
        a = self.sc.textFile(path)
        result = a.cartesian(a).collect()
        (x, y) = result[0]
        self.assertEqual("Hello World!", x.strip())
        self.assertEqual("Hello World!", y.strip())


class TestIO(PySparkTestCase):

    def test_stdout_redirection(self):
        import subprocess
        def func(x):
            subprocess.check_call('ls', shell=True)
        self.sc.parallelize([1]).foreach(func)


class TestDaemon(unittest.TestCase):
    def connect(self, port):
        from socket import socket, AF_INET, SOCK_STREAM
        sock = socket(AF_INET, SOCK_STREAM)
        sock.connect(('127.0.0.1', port))
        # send a split index of -1 to shutdown the worker
        sock.send("\xFF\xFF\xFF\xFF")
        sock.close()
        return True

    def do_termination_test(self, terminator):
        from subprocess import Popen, PIPE
        from errno import ECONNREFUSED

        # start daemon
        daemon_path = os.path.join(os.path.dirname(__file__), "daemon.py")
        daemon = Popen([sys.executable, daemon_path], stdin=PIPE, stdout=PIPE)

        # read the port number
        port = read_int(daemon.stdout)

        # daemon should accept connections
        self.assertTrue(self.connect(port))

        # request shutdown
        terminator(daemon)
        time.sleep(1)

        # daemon should no longer accept connections
        try:
            self.connect(port)
        except EnvironmentError as exception:
            self.assertEqual(exception.errno, ECONNREFUSED)
        else:
            self.fail("Expected EnvironmentError to be raised")

    def test_termination_stdin(self):
        """Ensure that daemon and workers terminate when stdin is closed."""
        self.do_termination_test(lambda daemon: daemon.stdin.close())

    def test_termination_sigterm(self):
        """Ensure that daemon and workers terminate on SIGTERM."""
        from signal import SIGTERM
        self.do_termination_test(lambda daemon: os.kill(daemon.pid, SIGTERM))

if __name__ == "__main__":
    unittest.main()