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 users and groups


In our previous recipes, we installed or configured Hadoop clusters as user hadoop. But, in production, it is good to run jobs as different users and also the Hadoop daemons can be separated to run with different user IDs, so as to have better control and security.

The security aspects will be covered in the security chapter, but it is important to understand the user segregation and grouping users per project or business units.

In this recipe, we will see how to create users and groups for job submission. These recipes do not talk about the HDFS user permissions or file ACLs, but only about the permission to submit jobs and what percentage of cluster capacity each user or department can use within an organization.

Getting ready

Before tackling the recipes in this chapter, make sure you have gone through the previous recipes or have at least gone through the steps to install the Hadoop cluster. In addition to this, the user must know the basics of Linux User Management...