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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
Tools
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Table of Contents (20) Chapters Close

Hadoop 2.x Administration Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security Index

Configure Oozie and workflows


In this recipe, we will configure the Oozie workflow engine and look at some examples of scheduling jobs using the Oozie workflow.

Oozie is a scheduler to manage Hadoop jobs, with the ability to make decisions on the conditions or states of previous jobs or the presence of certain files.

Getting ready

Make sure that you have completed the recipe of Hadoop cluster configuration with the edge node configured. HDFS and YARN must be configured and healthy before starting this recipe.

How to do it...

  1. Connect to the edge node edge1.cyrus.com and switch to the hadoop user.

  2. Download the Oozie source package, untar it, and build it:

    $ tar –xzvfoozie-4.1.0.tar.gz
    $ cd oozie-4.1.0
  3. Edit the file pom.xml to make it suitable for the Java version and the Hadoop version. Change the fields according to the version of Java used. For Hadoop 2.x, it must be version 2.3.0:

    <targetJavaVersion>1.8</targetJavaVersion>
    <hadoop.version>2.3.0</hadoop.version>
    <hbase...
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