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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 ‚Äì just a willingness to learn the basics from this practical step-by-step tutorial.

Product type Paperback

Published in Feb 2013

Publisher Packt

ISBN-13 9781849517300

Length 398 pages

Edition 1st Edition

Tools

Hadoop

Concepts

Data Processing

Table of Contents (19) Chapters

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

Chapter 6. When Things Break

One of the main promises of Hadoop is resilience to failure and an ability to survive failures when they do happen. Tolerance to failure will be the focus of this chapter.

In particular, we will cover the following topics:

How Hadoop handles failures of DataNodes and TaskTrackers
How Hadoop handles failures of the NameNode and JobTracker
The impact of hardware failure on Hadoop
How to deal with task failures caused by software bugs
How dirty data can cause tasks to fail and what to do about it

Along the way, we will deepen our understanding of how the various components of Hadoop fit together and identify some areas of best practice.

The rest of the chapter is locked

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