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Hadoop Real-World Solutions Cookbook - Second Edition

You're reading from  Hadoop Real-World Solutions Cookbook - Second Edition

Product type Book
Published in Mar 2016
Publisher
ISBN-13 9781784395506
Pages 290 pages
Edition 2nd Edition
Languages
Author (1):
Tanmay Deshpande Tanmay Deshpande
Profile icon Tanmay Deshpande

Table of Contents (18) Chapters

Hadoop Real-World Solutions Cookbook Second Edition
Credits
About the Author
Acknowledgements
About the Reviewer
www.PacktPub.com
Preface
Getting Started with Hadoop 2.X Exploring HDFS Mastering Map Reduce Programs Data Analysis Using Hive, Pig, and Hbase Advanced Data Analysis Using Hive Data Import/Export Using Sqoop and Flume Automation of Hadoop Tasks Using Oozie Machine Learning and Predictive Analytics Using Mahout and R Integration with Apache Spark Hadoop Use Cases Index

Unit testing the Map Reduce code using MRUnit


In this recipe, we are going to learn how to unit test the map reduce code using a library called MRUnit.

Getting ready

To perform this recipe, you should have a running Hadoop cluster as well as an eclipse similar to an IDE.

How to do it...

Sometimes, it is very difficult to develop, compile, deploy and execute the map reduce program and then figure out whether the code is correct or not. In order to avoid this deploying and testing technique, we can use a unit testing framework that's been built specially for Map Reduce called, MRUnit.

Let's assume that we have a map reduce program that emits and counts words starting with '#', such as a Twitter hashtag counter. The Mapper code for this hashtag counter looks like this:

public static class TokenizerMapper extends
            Mapper<Object, Text, Text, IntWritable> {
        private static final IntWritable one = new IntWritable(1);
        private Text word = new Text();

        public void...
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