3649fe599f
## What changes were proposed in this pull request? This PR continues to break down a big large file into smaller files. See https://github.com/apache/spark/pull/23021. It targets to follow https://github.com/numpy/numpy/tree/master/numpy. Basically this PR proposes to break down `pyspark/streaming/tests.py` into ...: ``` pyspark ├── __init__.py ... ├── streaming │ ├── __init__.py ... │ ├── tests │ │ ├── __init__.py │ │ ├── test_context.py │ │ ├── test_dstream.py │ │ ├── test_kinesis.py │ │ └── test_listener.py ... ├── testing ... │ ├── streamingutils.py ... ``` ## How was this patch tested? Existing tests should cover. `cd python` and .`/run-tests-with-coverage`. Manually checked they are actually being ran. Each test (not officially) can be ran via: ```bash SPARK_TESTING=1 ./bin/pyspark pyspark.tests.test_context ``` Note that if you're using Mac and Python 3, you might have to `OBJC_DISABLE_INITIALIZE_FORK_SAFETY=YES`. Closes #23034 from HyukjinKwon/SPARK-26035. Authored-by: hyukjinkwon <gurwls223@apache.org> Signed-off-by: hyukjinkwon <gurwls223@apache.org>
90 lines
3.6 KiB
Python
90 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 time
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import unittest
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from pyspark import StorageLevel
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from pyspark.streaming.kinesis import KinesisUtils, InitialPositionInStream
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from pyspark.testing.streamingutils import should_test_kinesis, kinesis_requirement_message, \
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PySparkStreamingTestCase
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@unittest.skipIf(not should_test_kinesis, kinesis_requirement_message)
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class KinesisStreamTests(PySparkStreamingTestCase):
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def test_kinesis_stream_api(self):
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# Don't start the StreamingContext because we cannot test it in Jenkins
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KinesisUtils.createStream(
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self.ssc, "myAppNam", "mySparkStream",
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"https://kinesis.us-west-2.amazonaws.com", "us-west-2",
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InitialPositionInStream.LATEST, 2, StorageLevel.MEMORY_AND_DISK_2)
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KinesisUtils.createStream(
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self.ssc, "myAppNam", "mySparkStream",
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"https://kinesis.us-west-2.amazonaws.com", "us-west-2",
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InitialPositionInStream.LATEST, 2, StorageLevel.MEMORY_AND_DISK_2,
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"awsAccessKey", "awsSecretKey")
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def test_kinesis_stream(self):
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import random
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kinesisAppName = ("KinesisStreamTests-%d" % abs(random.randint(0, 10000000)))
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kinesisTestUtils = self.ssc._jvm.org.apache.spark.streaming.kinesis.KinesisTestUtils(2)
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try:
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kinesisTestUtils.createStream()
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aWSCredentials = kinesisTestUtils.getAWSCredentials()
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stream = KinesisUtils.createStream(
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self.ssc, kinesisAppName, kinesisTestUtils.streamName(),
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kinesisTestUtils.endpointUrl(), kinesisTestUtils.regionName(),
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InitialPositionInStream.LATEST, 10, StorageLevel.MEMORY_ONLY,
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aWSCredentials.getAWSAccessKeyId(), aWSCredentials.getAWSSecretKey())
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outputBuffer = []
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def get_output(_, rdd):
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for e in rdd.collect():
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outputBuffer.append(e)
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stream.foreachRDD(get_output)
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self.ssc.start()
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testData = [i for i in range(1, 11)]
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expectedOutput = set([str(i) for i in testData])
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start_time = time.time()
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while time.time() - start_time < 120:
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kinesisTestUtils.pushData(testData)
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if expectedOutput == set(outputBuffer):
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break
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time.sleep(10)
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self.assertEqual(expectedOutput, set(outputBuffer))
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except:
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import traceback
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traceback.print_exc()
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raise
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finally:
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self.ssc.stop(False)
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kinesisTestUtils.deleteStream()
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kinesisTestUtils.deleteDynamoDBTable(kinesisAppName)
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if __name__ == "__main__":
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from pyspark.streaming.tests.test_kinesis import *
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try:
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import xmlrunner
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unittest.main(testRunner=xmlrunner.XMLTestRunner(output='target/test-reports'), verbosity=2)
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except ImportError:
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unittest.main(verbosity=2)
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