Book Image

Hadoop Beginner's Guide

Book Image

Hadoop Beginner's Guide

Overview of this book

Data is arriving faster than you can process it and the overall volumes keep growing at a rate that keeps you awake at night. Hadoop can help you tame the data beast. Effective use of Hadoop however requires a mixture of programming, design, and system administration skills."Hadoop Beginner's Guide" removes the mystery from Hadoop, presenting Hadoop and related technologies with a focus on building working systems and getting the job done, using cloud services to do so when it makes sense. From basic concepts and initial setup through developing applications and keeping the system running as the data grows, the book gives the understanding needed to effectively use Hadoop to solve real world problems.Starting with the basics of installing and configuring Hadoop, the book explains how to develop applications, maintain the system, and how to use additional products to integrate with other systems.While learning different ways to develop applications to run on Hadoop the book also covers tools such as Hive, Sqoop, and Flume that show how Hadoop can be integrated with relational databases and log collection.In addition to examples on Hadoop clusters on Ubuntu uses of cloud services such as Amazon, EC2 and Elastic MapReduce are covered.
Table of Contents (19 chapters)
Hadoop Beginner's Guide
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
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...