Launch of two cartographers and two reducers for easy work with the map

I just wanted to better understand the use of several cartographers and gearboxes. I want to try this using a simple mapmodel application to convert to Word. I want to run two mappers and two reducers for this wordcount to work. I need to configure manually in the configuration files or just make changes to the WordCount.java file.

I am doing this job on a Single node. And I carry out this task as

$ hasoop jar job.jar input output

And I started

$ hadoop namenode -format
$ hadoop namenode

$ hadoop datanode

sbin $. / yarn-daemon.sh Run ResourceManager sbin $. / yarn-daemon.sh start resourcemanager

I am running hasoop-2.0.0-cdh4.0.0

And my WordCount.java file

package org.apache.hadoop.examples;

import java.io.IOException;
import java.util.StringTokenizer;
import org.apache.commons.logging.Log;
import org.apache.commons.logging.LogFactory;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.io.IntWritable;
import org.rg.apache.hadoop.fs.Path;
import oapache.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;

public class WordCount {
private static final Log LOG = LogFactory.getLog(WordCount.class);

  public static class TokenizerMapper
       extends Mapper<Object, Text, Text, IntWritable>{

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

    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 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;
      //printKeyAndValues(key, values);

      for (IntWritable val : values) {
        sum += val.get();
      LOG.info("val = " + val.get());
      }
      LOG.info("sum = " + sum + " key = " + key);
      result.set(sum);
      context.write(key, result);
      //System.err.println(String.format("[reduce] word: (%s), count: (%d)", key, result.get()));
    }


  // a little method to print debug output
    private void printKeyAndValues(Text key, Iterable<IntWritable> values)
    {
      StringBuilder sb = new StringBuilder();
      for (IntWritable val : values)
      {
        sb.append(val.get() + ", ");
      }
      System.err.println(String.format("[reduce] key: (%s), value: (%s)", key, sb.toString()));
    }
  }

  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: wordcount <in> <out>");
      System.exit(2);
    }
    Job job = new Job(conf, "word count");
    job.setJarByClass(WordCount.class);
    job.setMapperClass(TokenizerMapper.class);
    job.setCombinerClass(IntSumReducer.class);
    job.setReducerClass(IntSumReducer.class);
    job.setOutputKeyClass(Text.class);
    job.setOutputValueClass(IntWritable.class);
    FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
    FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));

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

Can any of you help me now launch two cartographers and reducers for this word counter job?