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 auditing


In this recipe, we will touch base upon auditing in Hadoop, which is important to keep track of who did what and at what time. All users must hold accountability for their actions, and to make that possible, we need to track the activities of users by enabling audit logs. There are two audit logs, one for users and the other for services, which help to answer important questions such as Who touched my files? Is data accessed from protected IPs?

Getting ready

For this recipe, you will again need a running cluster with HDFS and YARN. Users must have completed the Configuring multi-node cluster recipe.

How to do it...

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

  2. The file where these changes will be made is log4j.properties.

  3. The categories which control audit logging are log4j.category.SecurityLogger for service, and for each of HDFS, Mapred, and YARN, we have audit log handlers categories implementing log4j.logger.org.apache.hadoop.

  4. To enable audits for...