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

Tuning HBase


In this recipe, we will look at HBase tuning and some things to keep in mind. This is not an exclusive list of things to do, but it is a good starting point.

You are recommended to read through Chapter 8, Performance Tuning, before going through the tuning aspects of HBase cluster. It will give you a better insight into tuning the operating system, network, disk, and so on.

Getting ready

Make sure that you have completed the Setting up multi-node HBase cluster recipe for this section and understand the basic Linux commands.

How to do it...

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

  2. Edit the hbase-env.sh file and add the following lines to it to tune the heap as per the work load:

    export HBASE_HEAPSIZE=1G
    export HBASE_OFFHEAPSIZE=1G
    
  3. We can tune the Java GC algorithm. The default is marked sweep and if the GC times is high, this should be changed to Parallel GC:

    export HBASE_OPTS="-XX:+UseConcMarkSweepGC"
    
  4. If we are using Java 8, then the PermSize option...