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 YARN for performance


Another important component to tune is the YARN framework. Until now, we have concentrated on the HDFS/storage layer, but we need to tune the scheduler and compute the layer as well.

In this recipe, we will see which important properties to take care of and how they can be optimized. To get a picture of the YARN layout and to correlate things better, please refer to the following diagram:

Getting ready

Make sure that the user has a running cluster with HDFS and YARN configured. The user must be able to execute HDFS and YARN commands. Please refer to Chapter 1, Hadoop Architecture and Deployment, for Hadoop installation and configuration.

How to do it...

  1. Connect to the Namenode master1.cyrus.com and switch to the hadoop user.

  2. The important file for this recipe is yarn-site.xml and all the parameters in the following steps will be part of it.

  3. The memory on the system after accounting for the operating system, any daemons like Namenode or Datanodes, and HBase regions...