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

Job queue ACLs


In YARN, whenever a job is submitted, it is submitted either to a specified queue or default queue. This behavior has been explored in the last recipe. In this recipe, we will configure ACLs to block users from submitting jobs to other queues.

Getting ready

In order to get started, you will need a running cluster with HDFS and YARN set up properly and an understanding of the last recipe.

Note

This feature is not yet production ready and is scheduled to be a standard feature in Hadoop 2.9.0, but users can still play with it and test it. Users will not see much improvement for small jobs with very few jars or common code.

How to do it...

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

  2. Execute the command as shown next in the picture to see the queue ACLs. By default, users can see that d1 has administrative and submit rights to all the queues:

  3. Edit the fair-scheduler.xml allocation file as shown next. Note the users specified for the specific queues (within the...