Converted the WordCount example to be v0.20.x compliant. For some reason the reduce isn't being called, just the map is called. Any ideas?

Hadoop_WordCount_v0.20.1.java

package hadoop.examples;

import java.io.IOException;
import java.util.*;

import org.apache.hadoop.fs.Path;
import org.apache.hadoop.io.*;
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.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;

public class WordCount extends Configured implements Tool {

	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 {
		int res = ToolRunner.run(new Configuration(), new WordCount(), args);
		System.exit(res);
	}

	@Override
	public int run(String[] args) throws Exception {
		Configuration conf = getConf();
		Job job = new Job(conf, "wordcount");

		job.setJarByClass(WordCount.class);
		job.setMapperClass(Map.class);
		job.setReducerClass(Reduce.class);
		//job.setCombinerClass(Reduce.class);

		job.setInputFormatClass(TextInputFormat.class);
		job.setOutputFormatClass(TextOutputFormat.class);
		
		job.setOutputKeyClass(Text.class);
		job.setOutputValueClass(IntWritable.class);

		FileInputFormat.addInputPath(job, new Path(args[0]));
		FileOutputFormat.setOutputPath(job, new Path(args[1]));

		return job.waitForCompletion(true) ? 0 : 1;
	}
}