| /** |
| * 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. |
| */ |
| package org.apache.crunch.examples; |
| |
| import java.io.Serializable; |
| |
| import org.apache.crunch.DoFn; |
| import org.apache.crunch.Emitter; |
| import org.apache.crunch.PCollection; |
| import org.apache.crunch.PTable; |
| import org.apache.crunch.Pipeline; |
| import org.apache.crunch.impl.mr.MRPipeline; |
| import org.apache.crunch.types.writable.Writables; |
| import org.apache.hadoop.conf.Configuration; |
| import org.apache.hadoop.conf.Configured; |
| import org.apache.hadoop.util.GenericOptionsParser; |
| import org.apache.hadoop.util.Tool; |
| import org.apache.hadoop.util.ToolRunner; |
| |
| public class WordCount extends Configured implements Tool, Serializable { |
| public int run(String[] args) throws Exception { |
| if (args.length != 3) { |
| System.err.println(); |
| System.err.println("Usage: " + this.getClass().getName() + " [generic options] input output"); |
| System.err.println(); |
| GenericOptionsParser.printGenericCommandUsage(System.err); |
| return 1; |
| } |
| // Create an object to coordinate pipeline creation and execution. |
| Pipeline pipeline = new MRPipeline(WordCount.class, getConf()); |
| // Reference a given text file as a collection of Strings. |
| PCollection<String> lines = pipeline.readTextFile(args[1]); |
| |
| // Define a function that splits each line in a PCollection of Strings into |
| // a |
| // PCollection made up of the individual words in the file. |
| PCollection<String> words = lines.parallelDo(new DoFn<String, String>() { |
| public void process(String line, Emitter<String> emitter) { |
| for (String word : line.split("\\s+")) { |
| emitter.emit(word); |
| } |
| } |
| }, Writables.strings()); // Indicates the serialization format |
| |
| // The count method applies a series of Crunch primitives and returns |
| // a map of the unique words in the input PCollection to their counts. |
| // Best of all, the count() function doesn't need to know anything about |
| // the kind of data stored in the input PCollection. |
| PTable<String, Long> counts = words.count(); |
| |
| // Instruct the pipeline to write the resulting counts to a text file. |
| pipeline.writeTextFile(counts, args[2]); |
| // Execute the pipeline as a MapReduce. |
| pipeline.done(); |
| return 0; |
| } |
| |
| public static void main(String[] args) throws Exception { |
| ToolRunner.run(new Configuration(), new WordCount(), args); |
| } |
| } |