2018-11-14 23:30:52 -05:00
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#
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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 random
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import unittest
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from pyspark import SparkContext, SparkConf
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class ConfTests(unittest.TestCase):
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def test_memory_conf(self):
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memoryList = ["1T", "1G", "1M", "1024K"]
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for memory in memoryList:
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sc = SparkContext(conf=SparkConf().set("spark.python.worker.memory", memory))
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l = list(range(1024))
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random.shuffle(l)
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rdd = sc.parallelize(l, 4)
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self.assertEqual(sorted(l), rdd.sortBy(lambda x: x).collect())
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sc.stop()
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if __name__ == "__main__":
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from pyspark.tests.test_conf import *
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try:
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import xmlrunner
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2019-06-23 20:58:17 -04:00
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testRunner = xmlrunner.XMLTestRunner(output='target/test-reports', verbosity=2)
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2018-11-14 23:30:52 -05:00
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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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