| # |
| # 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 <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. |
| """ |
| 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() |