# # 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. # """ Counts words in new text files created in the given directory Usage: hdfs_wordcount.py is the directory that Spark Streaming will use to find and read new text files. To run this on your local machine on directory `localdir`, run this example $ bin/spark-submit examples/src/main/python/streaming/hdfs_wordcount.py localdir Then create a text file in `localdir` and the words in the file will get counted. """ import sys from pyspark import SparkContext from pyspark.streaming import StreamingContext if __name__ == "__main__": if len(sys.argv) != 2: print("Usage: hdfs_wordcount.py ", file=sys.stderr) sys.exit(-1) sc = SparkContext(appName="PythonStreamingHDFSWordCount") ssc = StreamingContext(sc, 1) lines = ssc.textFileStream(sys.argv[1]) counts = lines.flatMap(lambda line: line.split(" "))\ .map(lambda x: (x, 1))\ .reduceByKey(lambda a, b: a + b) counts.pprint() ssc.start() ssc.awaitTermination()