Dec 27, 2009

A WordCount Tutorial for Hadoop 0.20.1

Because the document of Hadoop 0.20.1 describes a tutorial program which uses out-of-date APIs, I decided to write the following tutorial for Hadoop 0.20.1. It is notable that in 0.20.1, org.apache.hadoop.mapred.* are deprecated and it is recommended to use org.apache.hadoop.mapreduce.*. This tutorial is based on the new API.

For how to install and configure Hadoop, you might want to refer to my previous post. After Hadoop is installed, let us create a source code directory and put the following Java source file:
package org.sogou;

import java.io.IOException;
import java.lang.InterruptedException;
import java.util.StringTokenizer;

import org.apache.hadoop.io.IntWritable;
import org.apache.hadoop.io.Text;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.Path;
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;
import org.apache.hadoop.util.GenericOptionsParser;

public class WordCount {
/**
* The map class of WordCount.
*/

public static class TokenCounterMapper
extends Mapper<Object, Text, Text, IntWritable> {

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);
}
}
}
/**
* The reducer class of WordCount
*/

public static class TokenCounterReducer
extends Reducer<Text, IntWritable, Text, IntWritable> {
public void reduce(Text key, Iterable<IntWritable> values, Context context)
throws IOException, InterruptedException {
int sum = 0;
for (IntWritable value : values) {
sum += value.get();
}
context.write(key, new IntWritable(sum));
}
}
/**
* The main entry point.
*/

public static void main(String[] args) throws Exception {
Configuration conf = new Configuration();
String[] otherArgs = new GenericOptionsParser(conf, args).getRemainingArgs();
Job job = new Job(conf, "Example Hadoop 0.20.1 WordCount");
job.setJarByClass(WordCount.class);
job.setMapperClass(TokenCounterMapper.class);
job.setReducerClass(TokenCounterReducer.class);
job.setOutputKeyClass(Text.class);
job.setOutputValueClass(IntWritable.class);
FileInputFormat.addInputPath(job, new Path(otherArgs[0]));
FileOutputFormat.setOutputPath(job, new Path(otherArgs[1]));
System.exit(job.waitForCompletion(true) ? 0 : 1);
}
}
Then, we build this file and pack the result into a jar file:
mkdir classes
javac -classpath /Users/wyi/hadoop-0.20.1/hadoop-0.20.1-core.jar:/Users/wyi/hadoop-0.20.1//lib/commons-cli-1.2.jar -d classes WordCount.java && jar -cvf wordcount.jar -C classes/ .
Finally, we run the jar file in standalone mode of Hadoop
echo "hello world bye world" > /Users/wyi/tmp/in/0.txt
echo "hello hadoop goodebye hadoop" > /Users/wyi/tmp/in/1.txt
hadoop jar wordcount.jar org.sogou.WordCount /Users/wyi/tmp/in /Users/wyi/tmp/out

143 comments:

yipeng said...
This comment has been removed by the author.
Andrew said...

Thanks! Great post, thanks for helping us newbies get started using the right APIs! Exactly what I was looking for.

Neil said...

Thank you , It was usefull

Philippe Adjiman said...

Thanks for that code! I've updated an hadoop tutorial (http://philippeadjiman.com/blog/2009/12/07/hadoop-tutorial-part-1-setting-up-your-mapreduce-learning-playground/) that I wrote one year ago with a link to your post.

Best,
-Philippe.

Field Cady said...

Thanks so much for the post! On my computer, however, it is failing with the following error:

java.lang.RuntimeException: java.lang.ClassNotFoundException: org.sogou.WordCount$TokenCounterMapper

There was also a warning:

11/02/21 15:57:31 WARN mapred.JobClient: No job jar file set. User classes may not be found. See JobConf(Class) or JobConf#setJar(String).

Do you know what might be happening? I came to your post because I'm having the same problem with the standard tutorials, and hoped it was due to the API problem you references. Thank you in advance for any suggestions!

Field Cady said...

Thanks so much for the post! On my computer, however, it is failing with the following error:

java.lang.RuntimeException: java.lang.ClassNotFoundException: org.sogou.WordCount$TokenCounterMapper

There was also a warning:

11/02/21 15:57:31 WARN mapred.JobClient: No job jar file set. User classes may not be found. See JobConf(Class) or JobConf#setJar(String).

Do you know what might be happening? I came to your post because I'm having the same problem with the standard tutorials, and hoped it was due to the API problem you references. Thank you in advance for any suggestions!

shrish said...

Thanks a lot for the post..it really helped

shrish said...

Great post....ive been struggling for long to find this

shrish said...

Great post...dats wat I wanted ;)

Radhika said...

Thanks a lot..Great post...

Radhika said...
This comment has been removed by the author.
Arunraj Nair said...

How do I add use -libjars option and set a queue name?

I am using the command-
hadoop jar MyJar com.ClassName -Dmapred.job.queuename= -libjars jarPath

which is failing

Thanks,
Arun

Wonhui said...

I have a question on your code. Well, in the "main" function, in which part the JOB starts to be executed?
I mean, all the functions called in the main are about the "setting"(such as setMapperClass, setCombinerClass, setReducerClass, etc.), thus, i don't understand where the implementation gets started.

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Amith Nambiar said...

Had to setJarByClass to get that working with CDH5.

job.setJarByClass(WordCount.class)

Thank you for the post.

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