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Diffstat (limited to 'examples/src/main/python/streaming/queue_stream.py')
-rw-r--r-- | examples/src/main/python/streaming/queue_stream.py | 50 |
1 files changed, 50 insertions, 0 deletions
diff --git a/examples/src/main/python/streaming/queue_stream.py b/examples/src/main/python/streaming/queue_stream.py new file mode 100644 index 0000000000..dcd6a0fc6f --- /dev/null +++ b/examples/src/main/python/streaming/queue_stream.py @@ -0,0 +1,50 @@ +# +# 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. +# + +""" + Create a queue of RDDs that will be mapped/reduced one at a time in + 1 second intervals. + + To run this example use + `$ bin/spark-submit examples/src/main/python/streaming/queue_stream.py +""" +import sys +import time + +from pyspark import SparkContext +from pyspark.streaming import StreamingContext + +if __name__ == "__main__": + + sc = SparkContext(appName="PythonStreamingQueueStream") + ssc = StreamingContext(sc, 1) + + # Create the queue through which RDDs can be pushed to + # a QueueInputDStream + rddQueue = [] + for i in xrange(5): + rddQueue += [ssc.sparkContext.parallelize([j for j in xrange(1, 1001)], 10)] + + # Create the QueueInputDStream and use it do some processing + inputStream = ssc.queueStream(rddQueue) + mappedStream = inputStream.map(lambda x: (x % 10, 1)) + reducedStream = mappedStream.reduceByKey(lambda a, b: a + b) + reducedStream.pprint() + + ssc.start() + time.sleep(6) + ssc.stop(stopSparkContext=True, stopGraceFully=True) |