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 Datanode


In this recipe, we will look at tuning the Datanode by making some important configuration changes. Datanodes are mostly I/O bound, but can have a varied workload for HBase region servers. The network throughout the disks must be tuned for optimal performance.

We will look at parameters only for the Datanode, which in production will come into effect in conjunction with HDFS and Namenode parameters, discussed earlier in this chapter.

Getting ready

For this recipe, you will again need a running cluster and have at least the HDFS daemons running in the cluster.

How to do it...

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

  2. The hdfs-site.xml file will remain the same in the cluster. Each of the Namenode and Datanode daemons will read its respective parameters, ignoring the others.

  3. Tune the Datanode handler count by using the following configuration in the hdfs-site.xml file:

    <property>
    <name>dfs.datanode.handler.count</name>
    <value>40...