Java tutorial
/** * 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 assignment1.WordCount; import org.apache.hadoop.conf.Configuration; import org.apache.hadoop.fs.Path; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Job; import org.apache.hadoop.mapreduce.Mapper; import org.apache.hadoop.mapreduce.Reducer; import org.apache.hadoop.mapreduce.lib.input.FileInputFormat; import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat; import org.apache.hadoop.util.GenericOptionsParser; import java.io.IOException; import java.util.HashMap; import java.util.StringTokenizer; import java.util.regex.Matcher; import java.util.regex.Pattern; /* InMap Combiner - Example Word Count Could be an issue if the input cannot be contained in the memory. */ public class WordCountInMap { public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable> { private final static Pattern nw1 = Pattern.compile("[^'a-zA-Z]"); private final static Pattern nw2 = Pattern.compile("(^'+|'+$)"); private final static IntWritable count = new IntWritable(); private Text word = new Text(); private HashMap<String, Integer> counts; public void setup(Context context) { counts = new HashMap<>(); } public void map(Object key, Text value, Context context) throws IOException, InterruptedException { StringTokenizer itr = new StringTokenizer(value.toString()); while (itr.hasMoreTokens()) { Matcher mm1 = nw1.matcher(itr.nextToken()); Matcher mm2 = nw2.matcher(mm1.replaceAll("")); String ww = mm2.replaceAll("").toLowerCase(); if (!ww.equals("")) { if (!counts.containsKey(ww)) { counts.put(ww, 0); } int xx = counts.get(ww); counts.put(ww, xx + 1); } } } public void cleanup(Context context) throws InterruptedException, IOException { for (String ww : counts.keySet()) { word.set(ww); count.set(counts.get(ww)); context.write(word, count); } } } public static class IntSumReducer extends Reducer<Text, IntWritable, Text, IntWritable> { private IntWritable result = new IntWritable(); public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { int sum = 0; for (IntWritable val : values) { sum += val.get(); } result.set(sum); context.write(key, result); } } public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs(); if (otherArgs.length < 2) { System.err.println("Usage: hadoop jar This.jar <in> [<in>...] <out>"); System.exit(2); } Job job = new Job(conf, "word count"); job.setJarByClass(assignment1.WordCount.WordCountInMap.class); job.setMapperClass(TokenizerMapper.class); //job.setCombinerClass(IntSumReducer.class); job.setReducerClass(IntSumReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); for (int i = 0; i < otherArgs.length - 1; ++i) { FileInputFormat.addInputPath(job, new Path(otherArgs[i])); } FileOutputFormat.setOutputPath(job, new Path(otherArgs[otherArgs.length - 1])); System.exit(job.waitForCompletion(true) ? 0 : 1); } }