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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

Time for action – changing the base HDFS directory


Let's first set the base directory that specifies the location on the local filesystem under which Hadoop will keep all its data. Carry out the following steps:

  1. Create a directory into which Hadoop will store its data:

    $ mkdir /var/lib/hadoop
    
  2. Ensure the directory is writeable by any user:

    $ chmod 777 /var/lib/hadoop
    
  3. Modify core-site.xml once again to add the following property:

    <property>
    <name>hadoop.tmp.dir</name>
    <value>/var/lib/hadoop</value>
    </property>

What just happened?

As we will be storing data in Hadoop and all the various components are running on our local host, this data will need to be stored on our local filesystem somewhere. Regardless of the mode, Hadoop by default uses the hadoop.tmp.dir property as the base directory under which all files and data are written.

MapReduce, for example, uses a /mapred directory under this base directory; HDFS uses /dfs. The danger is that the default value...

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