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

Configuring Capacity Scheduler


Capacity Scheduler is mainly designed for multitenancy, where multiple organizations collectively fund the cluster based on the computing needs. There is an added benefit that an organization can access any excess capacity not being used by others. This provides elasticity for the organizations in a cost-effective manner.

Getting ready

For this recipe, you will again need a running cluster with YARN and HDFS configured in the cluster. Readers are recommended to read the previous recipes in this chapter to understand this recipe better.

In Hadoop 2.x, the default scheduler is Capacity Scheduler and it is enabled by default, unless modified explicitly as seen in the previous recipes where we have configured Fair Scheduler.

How to do it...

  1. Connect to the master1.cyrus.com master node and switch as user hadoop.

  2. Modify the yarn-site.xml file by changing the following parameter:

    <property>
        <name>yarn.resourcemanager.scheduler.class</name>
        <value...