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 job queues


In this recipe, we will configure the job queue and allow users to submit jobs to the queues. In production, there might be many departments such as marketing, sales, and finance, sharing a cluster of resources and it is important to have the correct shares proportional to business and funding.

In the previous recipe, although the queues were setup, they were still not used. Queues were dynamically created for jobs submitted by specifying a queue. If no queue is specified, jobs are submitted to a queue by the name of the user who submitted the job. We will explore these a bit more in this recipe.

Getting ready

To complete the recipe, the user must have a running cluster with HDFS and YARN configured and must have completed the previous two recipes.

How to do it...

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

  2. Edit the fair-scheduler.xml allocation file as shown next. Note that there is no user specified for any queue (within the ...