7/21/2019 002 - MapReduce in Hadoop

http://slidepdf.com/reader/full/002-mapreduce-in-hadoop 1/2

 

Goutam Tadi  – goutamhadoop@gmail.com

MAPREDUCE

MapReduce is a programming model for data processing. Hadoop can run mapreduce programs

written in various languages like Java, Ruby, Python and C++. MapReduce programs run inparallel fashion to analyze data of any size.

Analyse sample data with Hadoop:

Word Count:

package com.tadi.mapreduce.chapter2;

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.LongWritable;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.input.TextInputFormat;

import org.apache.hadoop.mapreduce.lib.output.FileOutputFormat;import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;

public class WordCount {

public static class WordCountMapper extends 

Mapper<LongWritable, Text, Text, IntWritable> {

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

MapReduce Job

Map

Phase

Reduce

Phase

7/21/2019 002 - MapReduce in Hadoop

http://slidepdf.com/reader/full/002-mapreduce-in-hadoop 2/2

 

Goutam Tadi  – goutamhadoop@gmail.com

public void map(LongWritable key, Text value, Context context)throws IOException, InterruptedException {

String line = value.toString();StringTokenizer tokenizer = new StringTokenizer(line);while (tokenizer.hasMoreTokens()) {

word.set(tokenizer.nextToken());context.write(word, one);

}

}

}

public static class WordCountReducer extends Reducer<Text, IntWritable, Text, IntWritable> {

IntWritable value;

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

int sum = 0;

while (values.iterator().hasNext()) {

sum += values.iterator().next().get();}context.write(key, new IntWritable(sum));

}}

public static void main(String args[]) throws IOException, ClassNotFoundException, InterruptedException{

Configuration conf = new Configuration();@SuppressWarnings("deprecation")Job job = new Job(conf);

 job.setJarByClass(WordCount.class);

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

 job.setMapperClass(WordCountMapper.class); job.setReducerClass(WordCountReducer.class); job.setInputFormatClass(TextInputFormat.class); job.setOutputFormatClass(TextOutputFormat.class);

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

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

}

Explanation

baba baba black

sheep…. 

baba 1

baba 1

black 1..

baba [1,1]

black [1]

sheep [1]… 

baba 2

black 1

sheep 1

Input Raw data Map Phase Reduce Phase Output