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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 FREE CHAPTER 2. Getting Hadoop Up and Running 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

Managing HDFS


As we saw when killing and restarting nodes in Chapter 6, When Things Break, Hadoop automatically manages many of the availability concerns that would consume a lot of effort on a more traditional filesystem. There are some things, however, that we still need to be aware of.

Where to write data

Just as the NameNode can have multiple locations for storage of fsimage specified via the dfs.name.dir property, we explored earlier that there is a similar-appearing property called dfs.data.dir that allows HDFS to use multiple data locations on a host, which we will look at now.

This is a useful mechanism that works very differently from the NameNode property. If multiple directories are specified in dfs.data.dir, Hadoop will view these as a series of independent locations that it can use in parallel. This is useful if you have multiple physical disks or other storage devices mounted at distinct points on the filesystem. Hadoop will use these multiple devices intelligently, maximizing...

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