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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 – killing a TaskTracker process


We've abused HDFS and its DataNode enough; now let's see what damage we can do to MapReduce by killing some TaskTracker processes.

Though there is an mradmin command, it does not give the sort of status reports we are used to with HDFS. So we'll use the MapReduce web UI (located by default on port 50070 on the JobTracker host) to monitor the MapReduce cluster health.

Perform the following steps:

  1. Ensure everything is running via the start-all.sh script then point your browser at the MapReduce web UI. The page should look like the following screenshot:

  2. Start a long-running MapReduce job; the example pi estimator with large values is great for this:

    $ Hadoop jar Hadoop/Hadoop-examples-1.0.4.jar pi 2500 2500
    
  3. Now log onto a cluster node and use jps to identify the TaskTracker process:

    $ jps
    21822 TaskTracker
    3918 Jps
    3891 DataNode
    
  4. Kill the TaskTracker process:

    $ kill -9 21822
    
  5. Verify that the TaskTracker is no longer running:

    $jps
    3918 Jps
    3891 DataNode...
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