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

90 lines
3.6 KiB
Python
Raw Normal View History

#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import time
import unittest
from pyspark import StorageLevel
from pyspark.streaming.kinesis import KinesisUtils, InitialPositionInStream
from pyspark.testing.streamingutils import should_test_kinesis, kinesis_requirement_message, \
PySparkStreamingTestCase
@unittest.skipIf(not should_test_kinesis, kinesis_requirement_message)
class KinesisStreamTests(PySparkStreamingTestCase):
def test_kinesis_stream_api(self):
# Don't start the StreamingContext because we cannot test it in Jenkins
KinesisUtils.createStream(
self.ssc, "myAppNam", "mySparkStream",
"https://kinesis.us-west-2.amazonaws.com", "us-west-2",
InitialPositionInStream.LATEST, 2, StorageLevel.MEMORY_AND_DISK_2)
KinesisUtils.createStream(
self.ssc, "myAppNam", "mySparkStream",
"https://kinesis.us-west-2.amazonaws.com", "us-west-2",
InitialPositionInStream.LATEST, 2, StorageLevel.MEMORY_AND_DISK_2,
"awsAccessKey", "awsSecretKey")
def test_kinesis_stream(self):
import random
kinesisAppName = ("KinesisStreamTests-%d" % abs(random.randint(0, 10000000)))
kinesisTestUtils = self.ssc._jvm.org.apache.spark.streaming.kinesis.KinesisTestUtils(2)
try:
kinesisTestUtils.createStream()
aWSCredentials = kinesisTestUtils.getAWSCredentials()
stream = KinesisUtils.createStream(
self.ssc, kinesisAppName, kinesisTestUtils.streamName(),
kinesisTestUtils.endpointUrl(), kinesisTestUtils.regionName(),
InitialPositionInStream.LATEST, 10, StorageLevel.MEMORY_ONLY,
aWSCredentials.getAWSAccessKeyId(), aWSCredentials.getAWSSecretKey())
outputBuffer = []
def get_output(_, rdd):
for e in rdd.collect():
outputBuffer.append(e)
stream.foreachRDD(get_output)
self.ssc.start()
testData = [i for i in range(1, 11)]
expectedOutput = set([str(i) for i in testData])
start_time = time.time()
while time.time() - start_time < 120:
kinesisTestUtils.pushData(testData)
if expectedOutput == set(outputBuffer):
break
time.sleep(10)
self.assertEqual(expectedOutput, set(outputBuffer))
except:
import traceback
traceback.print_exc()
raise
finally:
self.ssc.stop(False)
kinesisTestUtils.deleteStream()
kinesisTestUtils.deleteDynamoDBTable(kinesisAppName)
if __name__ == "__main__":
from pyspark.streaming.tests.test_kinesis import *
try:
import xmlrunner
unittest.main(testRunner=xmlrunner.XMLTestRunner(output='target/test-reports'), verbosity=2)
except ImportError:
unittest.main(verbosity=2)