MapReducePrograms/TermFrequency.java at master · pajaydev/MapReducePrograms · GitHub

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/**
 *
 */
package org.myorg;

/**
 * Cloud Assignment
 * Find Term Frequency using MapReduce
 *
 * AUTHOR Ajaykumar Prathap
 * EMAIL  aprathap@uncc.edu
 *
 */

import java.io.IOException;
import java.util.regex.Pattern;

import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.conf.Configured;
import org.apache.hadoop.util.Tool;
import org.apache.hadoop.util.ToolRunner;
import org.apache.log4j.Logger;
import org.apache.hadoop.mapreduce.Job;
import org.apache.hadoop.mapreduce.Mapper;
import org.apache.hadoop.mapreduce.Reducer;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.mapreduce.lib.input.FileInputFormat;
import org.apache.hadoop.mapreduce.lib.input.FileSplit;
import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;
import org.apache.hadoop.io.DoubleWritable;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;


public class TermFrequency extends Configured implements Tool {

   private static final Logger LOG = Logger .getLogger( TermFrequency.class);

   public static void main( String[] args) throws  Exception {
      int res  = ToolRunner .run( new TermFrequency(), args);
      System .exit(res);
   }

   public int run( String[] args) throws  Exception {

	  Job job  = Job .getInstance(getConf(), " TermFrequency ");
      job.setJarByClass( this .getClass());

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


      job.setMapperClass( Map .class);
      job.setReducerClass( Reduce .class);
      job.setOutputKeyClass( Text .class);
      job.setOutputValueClass( DoubleWritable .class);

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

   public static class Map extends Mapper<LongWritable ,  Text ,  Text ,  DoubleWritable > {
      private final static DoubleWritable one  = new DoubleWritable( 1);
      private Text word  = new Text();

      private static final Pattern WORD_BOUNDARY = Pattern .compile("\\s*\\b\\s*");

      public void map( LongWritable offset,  Text lineText,  Context context)
        throws  IOException,  InterruptedException {

         String line  = lineText.toString();

         Text currentWord  = new Text();
         String finalStr = "";
         // Extracting the file Name from MapReduce File split
         String fileName = ((FileSplit)context.getInputSplit()).getPath().getName();


         for ( String word  : WORD_BOUNDARY .split(line)) {
            if (word.isEmpty()) {
               continue;
            }
            currentWord  = new Text(word);
            //Made Changes to print file name
            if("" != fileName && !(fileName.equalsIgnoreCase(null))){


           	 finalStr = currentWord.toString().toLowerCase()+"#####" + fileName;
           	 currentWord = new Text(finalStr);
            }
            context.write(currentWord,one);
         }
      }
   }

   public static class Reduce extends Reducer<Text ,  DoubleWritable ,  Text ,  DoubleWritable > {
      @Override
      public void reduce( Text word,  Iterable<DoubleWritable > counts,  Context context)
         throws IOException,  InterruptedException {
         double sum  = 0.0;

         for ( DoubleWritable count  : counts) {
            sum  += count.get();
         }
         //calculating the term frequency
         sum = 1 + Math.log10(sum);

         context.write(word, new DoubleWritable(sum));
      }
   }
}