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"""
Unit tests for PySpark; additional tests are implemented as doctests in
individual modules.
"""
import atexit
import os
import shutil
from tempfile import NamedTemporaryFile
import time
import unittest
from pyspark.context import SparkContext
class TestCheckpoint(unittest.TestCase):
def setUp(self):
self.sc = SparkContext('local[4]', 'TestPartitioning', batchSize=2)
def tearDown(self):
self.sc.stop()
# To avoid Akka rebinding to the same port, since it doesn't unbind
# immediately on shutdown
self.sc.jvm.System.clearProperty("spark.master.port")
def test_basic_checkpointing(self):
checkpointDir = NamedTemporaryFile(delete=False)
os.unlink(checkpointDir.name)
self.sc.setCheckpointDir(checkpointDir.name)
parCollection = self.sc.parallelize([1, 2, 3, 4])
flatMappedRDD = parCollection.flatMap(lambda x: range(1, x + 1))
self.assertFalse(flatMappedRDD.isCheckpointed())
self.assertIsNone(flatMappedRDD.getCheckpointFile())
flatMappedRDD.checkpoint()
result = flatMappedRDD.collect()
time.sleep(1) # 1 second
self.assertTrue(flatMappedRDD.isCheckpointed())
self.assertEqual(flatMappedRDD.collect(), result)
self.assertEqual(checkpointDir.name,
os.path.dirname(flatMappedRDD.getCheckpointFile()))
atexit.register(lambda: shutil.rmtree(checkpointDir.name))
def test_checkpoint_and_restore(self):
checkpointDir = NamedTemporaryFile(delete=False)
os.unlink(checkpointDir.name)
self.sc.setCheckpointDir(checkpointDir.name)
parCollection = self.sc.parallelize([1, 2, 3, 4])
flatMappedRDD = parCollection.flatMap(lambda x: [x])
self.assertFalse(flatMappedRDD.isCheckpointed())
self.assertIsNone(flatMappedRDD.getCheckpointFile())
flatMappedRDD.checkpoint()
flatMappedRDD.count() # forces a checkpoint to be computed
time.sleep(1) # 1 second
self.assertIsNotNone(flatMappedRDD.getCheckpointFile())
recovered = self.sc._checkpointFile(flatMappedRDD.getCheckpointFile())
self.assertEquals([1, 2, 3, 4], recovered.collect())
atexit.register(lambda: shutil.rmtree(checkpointDir.name))
if __name__ == "__main__":
unittest.main()
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