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

HDFS encryption at Rest


In this recipe, we will look at transparent HDFS encryption, which is encryption of data at rest. A typical use case could be a cluster used by a financial domain and others within a company using HDFS to store critical data.

The concept involves Key Management Server (KMS), which provides keys and encryption zones that secure data using the key. To access data, we need the key and data from the encrypted zone that cannot be moved to nonencrypted zones without a proper key.

Getting ready

To step through the recipe in this section, we need Hadoop cluster configured with HDFS at least. The changes can be done on one node and then the modified files copied across all nodes in the cluster.

How to do it...

  1. Connect to the master node in the cluster; we are using the nn1.cluster1.com node.

  2. Switch to user hadoop or root and make all the changes, as shown in the following steps.

  3. Edit the file /opt/cluster/hadoop/etc/hadoop/core-site.xml and enable the KMS store by adding the following...