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

Enabling service level authorization


In this recipe, we will look at service level authorization, which is a mechanism to ensure that the clients connecting to Hadoop services have the right permissions and authorization to access them. This is more of a global control in comparison to the control at the job queue level. Which users can submit jobs to the cluster or which Datanodes can connect to the Namenode based on the Datanode service user.

Service level authorization checks are performed much before any other checks, such as file permissions or permissions on sub queues.

Getting ready

For this recipe, you will need a running cluster with HDFS and YARN configured, and it is good to have a basic understanding of Linux users and permissions.

How to do it...

  1. Connect to the nn1.cluster1.com master node and switch to user hadoop.

  2. All the configuration goes into the hadoop-policy.xml file on each node in the cluster.

  3. Firstly, allow all users to connect as DFSclient using the following configuration...