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

Setting up Namenode metadata location


The most critical component of Hadoop is Namenode, and it is important to safeguard the information it stores. It stores metadata, which is a combination of namespace and inode structure.

All the steps are to be performed as the hadoop user. It is expected that the user has gone through Chapter 1, Hadoop Architecture and Deployment and understands the uses and function of Namenode.

Getting ready

You are going to need a preinstalled Hadoop as discussed in Chapter 1, Hadoop Architecture and Deployment. In the following recipes, we will configure the parameters for a copy of Hadoop that is already installed.

How to do it...

  1. ssh to the Namenode, which in this case is nn1.cluster1.com.

  2. Navigate to the /opt/cluster/hadoop/etc/hadoop directory. This is the directory where we installed Hadoop in the first chapter. If the user has installed it at a different location, then navigate to this directory.

  3. Configure the dfs.namenode.name.dir parameter, which defines the...