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MapReduce Matrix Multiplication Code

 Mapper Logic  : import java.io.IOException;  import org.apache.hadoop.conf.*;  import org.apache.hadoop.io.*; import org.apache.hadoop.mapreduce.*; public class MatrixMapper extends Mapper<LongWritable, Text, Text, Text>  { public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException  { Configuration conf = context.getConfiguration();  int m = Integer.parseInt(conf.get("m")); int p = Integer.parseInt(conf.get("p"));  String line = value.toString(); String[] indicesAndValue = line.split(",");  Text outputKey = new Text(); Text outputValue = new Text(); if (indicesAndValue[0].equals("M"))  {  for (int k = 0; k < p; k++) { outputKey.set(indicesAndValue[1] + "," + k); outputValue.set("M," + indicesAndValue[2] + "," + indicesAndValue[3]);  context.write(outputKey, outputValue); } }  else  { for (int i = 0; i < m; i++)  { outputKey.set(i + "," + indicesAnd...
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Word Count MapReduce Code

  Mapper Logic: import java.io.IOException; import java.util.StringTokenizer; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.LongWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop.mapreduce.Mapper; public class WordCountMapper extends Mapper<LongWritable, Text, Text, IntWritable> {   @Override   public void map (LongWritable key, Text value, Context con)       throws IOException, InterruptedException {     String line = value.toString();     String[] words = line.split("\\s");     for(String s:words) {                 con.write(new Text(s), new IntWritable(1));     }   } }     Reducer Logic: import java.io.IOException; import org.apache.hadoop.io.IntWritable; import org.apache.hadoop.io.Text; import org.apache.hadoop....
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