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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.

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Product type Paperback
Published in Feb 2013
Publisher Packt
ISBN-13 9781849517300
Length 398 pages
Edition 1st Edition
Tools
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Toc

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

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.

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