Java tutorial
/* * To change this license header, choose License Headers in Project Properties. * To change this template file, choose Tools | Templates * and open the template in the editor. */ package com.michaeljones.hellohadoopworldmaven; import java.io.IOException; import java.util.StringTokenizer; import org.apache.commons.collections.iterators.ListIteratorWrapper; 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.slf4j.Logger; import org.slf4j.LoggerFactory; /** * * @author michaeljones */ public class HelloMapReduce { private static final Logger LOGGER = LoggerFactory.getLogger(HelloMapReduce.class.getName()); public static class TokenizerMapper extends Mapper<Object, Text, Text, IntWritable> { private final static IntWritable one = new IntWritable(1); private Text word = new Text(); @Override public void map(Object key, Text value, Context context) throws IOException, InterruptedException { StringTokenizer itr = new StringTokenizer(value.toString()); while (itr.hasMoreTokens()) { word.set(itr.nextToken()); context.write(word, one); } } } public static class HelloIntReducer { private boolean analysisIsOn = false; private String callersName = ""; private final IntWritable result = new IntWritable(); public HelloIntReducer() { analysisIsOn = false; } public HelloIntReducer(String className) { analysisIsOn = true; callersName = className; } private String makeWriteDump(Text key, ListIteratorWrapper values) { // For analysis, we append all the values to the key to see how // the result was arrived at. StringBuilder keyString = new StringBuilder(); // Tells us whether it is the reducer or combiner which is performing // the reduce. keyString.append(callersName); keyString.append("-").append(key.toString()).append("["); boolean firstValue = true; while (values.hasNext()) { if (!firstValue) { keyString.append(","); } keyString.append((IntWritable) values.next()); firstValue = false; } keyString.append("]"); return keyString.toString(); } public void reduce(Text key, Iterable<IntWritable> values, Reducer.Context context) throws IOException, InterruptedException { ListIteratorWrapper wrappedValues = new ListIteratorWrapper(values.iterator()); if (analysisIsOn) { String writeDump = makeWriteDump(key, wrappedValues); LOGGER.info(writeDump); wrappedValues.reset(); } int sum = 0; while (wrappedValues.hasNext()) { IntWritable val = (IntWritable) wrappedValues.next(); sum += val.get(); } result.set(sum); context.write(key, result); } } public static class IntSumReducer extends Reducer<Text, IntWritable, Text, IntWritable> { // Containment rather than inheritance. private final HelloIntReducer intReducer; public IntSumReducer() { // Simple reducer, no analysis dump. intReducer = new HelloIntReducer(); } @Override public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { intReducer.reduce(key, values, context); } } public static class IntSumReducerAnalyser extends Reducer<Text, IntWritable, Text, IntWritable> { // Containment rather than inheritance. private final HelloIntReducer intReducer; public IntSumReducerAnalyser() { // Reducer will dump class name and analysis. intReducer = new HelloIntReducer(this.getClass().getSimpleName()); } @Override public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { intReducer.reduce(key, values, context); } } public static class IntSumCombinerAnalyser extends Reducer<Text, IntWritable, Text, IntWritable> { private final HelloIntReducer intReducer; public IntSumCombinerAnalyser() { // Reducer will dump class name and analysis. intReducer = new HelloIntReducer(this.getClass().getSimpleName()); } @Override public void reduce(Text key, Iterable<IntWritable> values, Context context) throws IOException, InterruptedException { intReducer.reduce(key, values, context); } } public static Job RunJobAsync(Path inputPath, Path outputPath, Configuration conf) throws Exception { Job job = Job.getInstance(conf, "word count"); job.setJarByClass(HelloMapReduce.class); job.setMapperClass(TokenizerMapper.class); job.setCombinerClass(IntSumReducer.class); job.setReducerClass(IntSumReducer.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, inputPath); FileOutputFormat.setOutputPath(job, outputPath); return job; } public static Job RunJobAnalysisAsync(Path inputPath, Path outputPath, Configuration conf) throws Exception { Job job = Job.getInstance(conf, "word count"); job.setJarByClass(HelloMapReduce.class); job.setMapperClass(TokenizerMapper.class); job.setCombinerClass(IntSumCombinerAnalyser.class); job.setReducerClass(IntSumReducerAnalyser.class); job.setOutputKeyClass(Text.class); job.setOutputValueClass(IntWritable.class); FileInputFormat.addInputPath(job, inputPath); FileOutputFormat.setOutputPath(job, outputPath); return job; } public static void main(String[] args) throws Exception { Configuration conf = new Configuration(); Job job = RunJobAsync(new Path(args[0]), new Path(args[1]), conf); // The orginal WordCount.java that comes with the distribution has a // System exit on job completion, but this makes it impossible to unit // test. boolean ok = job.waitForCompletion(true); } }