bigdata 2

import java.io.IOException;

import java.util.StringTokenizer;

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; 

public class Wordcount {

public static class TokenizerMapper extends Mapper{

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 {

private IntWritable result = new IntWritable();

public void reduce(Text key, Iterable values,Context context) throws IOException, InterruptedException {

int sum = 0;

for (IntWritable val : values) {

 sum += val.get();

}

result.set(sum); 

context.write(key, result);

}

}

public static void main(String[] args) throws Exception

{ Configuration conf = new Configuration(); 

Job job = Job.getInstance(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(args[0])); 

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

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

}

}