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- import java.io.IOException;
- import java.util.*;
- import org.apache.hadoop.fs.Path;
- import org.apache.hadoop.conf.*;
- import org.apache.hadoop.io.*;
- import org.apache.hadoop.mapreduce.*;
- import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
- import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
- import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
- import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
- public class WordCount {
- public static class Map extends Mapper<LongWritable, Text, Text, IntWritable> {
- private final static IntWritable one = new IntWritable(1);
- private Text word = new Text();
- public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException {
- String line = value.toString();
- StringTokenizer tokenizer = new StringTokenizer(line);
- while (tokenizer.hasMoreTokens()) {
- word.set(tokenizer.nextToken());
- context.write(word, one);
- }
- }
- }
- public static class Reduce extends Reducer<Text, IntWritable, Text, IntWritable> {
- public void reduce(Text key, Iterator<IntWritable> values, Context context)
- throws IOException, InterruptedException {
- int sum = 0;
- while (values.hasNext()) {
- sum += values.next().get();
- }
- context.write(key, new IntWritable(sum));
- }
- }
- public static void main(String[] args) throws Exception {
- Configuration conf = new Configuration();
- Job job = new Job(conf, "wordcount");
- job.setOutputKeyClass(Text.class);
- job.setOutputValueClass(IntWritable.class);
- job.setMapperClass(Map.class);
- job.setReducerClass(Reduce.class);
- job.setInputFormatClass(TextInputFormat.class);
- job.setOutputFormatClass(TextOutputFormat.class);
- FileInputFormat.addInputPath(job, new Path(args[0]));
- FileOutputFormat.setOutputPath(job, new Path(args[1]));
- job.waitForCompletion(true);
- }
- }
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