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

Quota configuration


In a multitenancy cluster, it is important to control the utilization both in terms of HDFS space, memory, and CPU utilization. In this recipe, we will be looking at how we can restrict a user or a project from using more than the allotted HDFS space.

Getting ready

Make sure that there is a running cluster, and that the user is already well versed in the recipes that we have looked at so far.

How to do it...

  1. Connect to Namenode and change the user to hadoop.

  2. Create a directory named projects on HDFS, as shown in the following screenshot:

  3. By default, there is no quota configured on any directory.

  4. To see what options can be set on the projects directory, use the following command:

    $ hadoop fs -count -q /projects
  5. The two leftmost fields show the namespace and disk space quota, which currently is not set, as shown in the following screenshot:

  6. To set the namespace quota, which will define how many inodes can be allocated for this projects directory, enter the following code. Inodes...