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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

Scaling


You have data and you have a running Hadoop cluster; now you get more of the former and need more of the latter. We have said repeatedly that Hadoop is an easily scalable system. So let us add some new capacity.

Adding capacity to a local Hadoop cluster

Hopefully, at this point, you should feel pretty underwhelmed at the idea of adding another node to a running cluster. All through Chapter 6, When Things Break, we constantly killed and restarted nodes. Adding a new node is really no different; all you need to do is perform the following steps:

  1. Install Hadoop on the host.

  2. Set the environment variables shown in Chapter 2, Getting Up and Running.

  3. Copy the configuration files into the conf directory on the installation.

  4. Add the host's DNS name or IP address to the slaves file on the node from which you usually run commands such as slaves.sh or cluster start/stop scripts.

And that's it!

Have a go hero – adding a node and running balancer

Try out the process of adding a new node and afterwards...

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