Book Image

Hadoop Beginner's Guide

Book Image

Hadoop Beginner's Guide

Overview of this book

Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills."Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.
Table of Contents (19 chapters)
Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
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...