| #/** |
| # * 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. |
| # */ |
| |
| from __future__ import print_function |
| |
| import sys |
| from operator import add |
| |
| from pyspark import SparkContext |
| |
| if __name__ == "__main__": |
| if len(sys.argv) < 2: |
| print("Usage: wordcount <file>", file=sys.stderr) |
| exit(-1) |
| sc = SparkContext(appName="Python WordCount") |
| |
| # Read input and output path |
| inputPath = sys.argv[1] |
| print ('Path of input file ->' + inputPath) |
| outputPath = sys.argv[2] |
| print ('Path of output file ->' + outputPath) |
| |
| distFile = sc.textFile(inputPath) |
| |
| def flatMap(line): |
| return line.split(",") |
| |
| def map(word): |
| return (word,1) |
| |
| def reduce(a,b): |
| return a+b |
| |
| |
| counts = distFile.flatMap(flatMap).map(map).reduceByKey(reduce) |
| |
| counts.saveAsTextFile(outputPath) |