Book Image

Hadoop 2.x Administration Cookbook

By : Aman Singh
Book Image

Hadoop 2.x Administration Cookbook

By: Aman Singh

Overview of this book

Hadoop enables the distributed storage and processing of large datasets across clusters of computers. Learning how to administer Hadoop is crucial to exploit its unique features. With this book, you will be able to overcome common problems encountered in Hadoop administration. The book begins with laying the foundation by showing you the steps needed to set up a Hadoop cluster and its various nodes. You will get a better understanding of how to maintain Hadoop cluster, especially on the HDFS layer and using YARN and MapReduce. Further on, you will explore durability and high availability of a Hadoop cluster. You’ll get a better understanding of the schedulers in Hadoop and how to configure and use them for your tasks. You will also get hands-on experience with the backup and recovery options and the performance tuning aspects of Hadoop. Finally, you will get a better understanding of troubleshooting, diagnostics, and best practices in Hadoop administration. By the end of this book, you will have a proper understanding of working with Hadoop clusters and will also be able to secure, encrypt it, and configure auditing for your Hadoop clusters.
Table of Contents (20 chapters)
Hadoop 2.x Administration Cookbook
Credits
About the Author
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
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...