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Hadoop Beginner's Guide

You're reading from   Hadoop Beginner's Guide Get your mountain of data under control with Hadoop. This guide requires no prior knowledge of the software or cloud services – just a willingness to learn the basics from this practical step-by-step tutorial.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
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Table of Contents (19) Chapters Close

Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. What It's All About 2. Getting Hadoop Up and Running FREE CHAPTER 3. Understanding MapReduce 4. Developing MapReduce Programs 5. Advanced MapReduce Techniques 6. When Things Break 7. Keeping Things Running 8. A Relational View on Data with Hive 9. Working with Relational Databases 10. Data Collection with Flume 11. Where to Go Next Pop Quiz Answers Index

The Hadoop Java API for MapReduce


Hadoop underwent a major API change in its 0.20 release, which is the primary interface in the 1.0 version we use in this book. Though the prior API was certainly functional, the community felt it was unwieldy and unnecessarily complex in some regards.

The new API, sometimes generally referred to as context objects, for reasons we'll see later, is the future of Java's MapReduce development; and as such we will use it wherever possible in this book. Note that caveat: there are parts of the pre-0.20 MapReduce libraries that have not been ported to the new API, so we will use the old interfaces when we need to examine any of these.

The 0.20 MapReduce Java API

The 0.20 and above versions of MapReduce API have most of the key classes and interfaces either in the org.apache.hadoop.mapreduce package or its subpackages.

In most cases, the implementation of a MapReduce job will provide job-specific subclasses of the Mapper and Reducer base classes found in this package...

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