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 Hadoop users


In this recipe, we will configure users to run Hadoop services so as to have better control of access by daemons.

In all the recipes so far, we have configured all services/daemons, whether it's HDFS, YARN, or Hive to run with user hadoop. This is not the right practice for production clusters as it would be difficult to control services in a fine and granular manner.

It is recommended to segregate services to run with different users, for example, HDFS daemons as hdfs:hadoop, YARN daemons as yarn:hadoop, and other services such as Hive or HBase with their own respective users.

Getting ready

To step through the recipe in this section, we need a Hadoop cluster already configured and it is assumed that users are aware about Hadoop installation and configuration. Refer to Chapter 1, Hadoop Architecture and Deployment for the installation and configuration of a Hadoop cluster. In this recipe, we are just separating daemons to run with different users, rather than them all...