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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 job priorities and killing a job


Let's explore job priorities by changing them dynamically and watching the result of killing a job.

  1. Start a relatively long-running job on the cluster.

    $ hadoop jar hadoop-examples-1.0.4.jar pi 100 1000
    
  2. Open another window and submit a second job.

    $ hadoop jar hadoop-examples-1.0.4.jar wordcount test.txt out1
    
  3. Open another window and submit a third.

    $ hadoop jar hadoop-examples-1.0.4.jar wordcount test.txt out2
    
  4. List the running jobs.

    $ Hadoop job -list
    

    You'll see the following lines on the screen:

    3 jobs currently running
    JobId  State  StartTime  UserName  Priority  SchedulingInfo
    job_201201111540_0005  1  1326325810671  hadoop  NORMAL  NA
    job_201201111540_0006  1  1326325938781  hadoop  NORMAL  NA
    job_201201111540_0007  1  1326325961700  hadoop  NORMAL  NA
    
  5. Check the status of the running job.

    $ Hadoop job -status job_201201111540_0005
    

    You'll see the following lines on the screen:

    Job: job_201201111540_0005
    file: hdfs://head:9000...
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