WordCount.java

import org.apache.hadoop.conf.Configuration;
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.mapreduce.Counter;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;

public class WordCount {
@SuppressWarnings("deprecation")
public static void main(String[] args) throws Exception {

        if (args.length != 2) {

        System.err.println("Usage: WordCount <input path> <output path>");
        System.exit(-1); }

        System.out.println("In Driver now!");
//Create configuration:
Configuration conf = new Configuration(true);

//Create Jobs
Job job = new Job (conf, "word Count");

job.setJarByClass(WordCount.class);
job.setJobName("WordCount");
//Setup MapReduce
job.setMapperClass(WordMapperAvg.class);
job.setReducerClass(SumReducer2.class);
job.setNumReduceTasks(1);

job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);

//Input:
FileInputFormat.addInputPath(job, new Path(args[0]));
job.setInputFormatClass(TextInputFormat.class);

//Output
FileOutputFormat.setOutputPath(job, new Path(args[1]));
job.setOutputFormatClass(TextOutputFormat.class);
int code = job.waitForCompletion(true) ? 0 : 1;
//Counter
Counter mapperCounter = job.getCounters().findCounter(WordMapperAvg.MapCounters.MAP_RECORD_COUNTER);
Counter reducerCounter = job.getCounters().findCounter(SumReducer2.ReducerCounters.REDUCER_RECORD_COUNTER);
System.out.println("Total Num. of records processed in MAP:"+mapperCounter.getValue());
System.out.println("Total num. of records processed in REDUCER:" +reducerCounter.getValue());
System.exit(code);

}
}