text: #
  # 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
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  """
   Counts words in new text files created in the given directory
   Usage: hdfs_wordcount.py <directory>
     <directory> 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.
  """
  from __future__ import print_function
  
  import sys
  
  from pyspark import SparkContext
  from pyspark.streaming import StreamingContext
  
  if __name__ == "__main__":
      if len(sys.argv) != 2:
          print("Usage: hdfs_wordcount.py <directory>", 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()
  