{{{
/*

 * map reduce sample code

 */



import java.io.IOException;

import java.util.Iterator;

import java.util.StringTokenizer;



import org.apache.hadoop.fs.FileSystem;

import org.apache.hadoop.fs.Path;

import org.apache.hadoop.io.IntWritable;

import org.apache.hadoop.io.LongWritable;

import org.apache.hadoop.io.Text;

import org.apache.hadoop.mapred.JobClient;

import org.apache.hadoop.mapred.JobConf;

import org.apache.hadoop.mapred.MapReduceBase;

import org.apache.hadoop.mapred.Mapper;

import org.apache.hadoop.mapred.OutputCollector;

import org.apache.hadoop.mapred.Reducer;

import org.apache.hadoop.mapred.Reporter;





public class WordCount {



	// mapper: emits (token, 1) for every word occurrence

	private static class MapClass extends MapReduceBase implements

			Mapper<LongWritable, Text, Text, IntWritable> {



		// reuse objects to save overhead of object creation

		private final static IntWritable one = new IntWritable(1);

		private Text word = new Text();



		public void map(LongWritable key, Text value,

				OutputCollector<Text, IntWritable> output, Reporter reporter)

				throws IOException {

			String line = ((Text) value).toString();

			StringTokenizer itr = new StringTokenizer(line);

			while (itr.hasMoreTokens()) {

				word.set(itr.nextToken());

				output.collect(word, one);

			}

		}

	}

	// reducer: sums up all the counts

	private static class ReduceClass extends MapReduceBase implements

			Reducer<Text, IntWritable, Text, IntWritable> {



		// reuse objects

		private final static IntWritable SumValue = new IntWritable();



		public void reduce(Text key, Iterator<IntWritable> values,

				OutputCollector<Text, IntWritable> output, Reporter reporter)

				throws IOException {

			// sum up values

			int sum = 0;

			while (values.hasNext()) {

				sum += values.next().get();

			}

			SumValue.set(sum);

			output.collect(key, SumValue);

		}

	}



	/**

	 * Runs the demo.

	 */

	public static void main(String[] args) throws IOException {

		String filename = "/user/waue/test/132.txt";

		String outputPath = "sample-counts";

		int mapTasks = 20;

		int reduceTasks = 1;



		JobConf conf = new JobConf(WordCount.class);

		conf.setJobName("wordcount");



		conf.setNumMapTasks(mapTasks);

		conf.setNumReduceTasks(reduceTasks);



		conf.setInputPath(new Path(filename));

		conf.setOutputKeyClass(Text.class);

		conf.setOutputValueClass(IntWritable.class);

		conf.setOutputPath(new Path(outputPath));



		conf.setMapperClass(MapClass.class);

		conf.setCombinerClass(ReduceClass.class);

		conf.setReducerClass(ReduceClass.class);

		

		// Delete the output directory if it exists already

		Path outputDir = new Path(outputPath);

		FileSystem.get(conf).delete(outputDir);



		JobClient.runJob(conf);

	}

}

}}}