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 ResourceManager components


In YARN, ResourceManager is modular in nature, primarily limited to scheduling and not bothered about application state management, which is delegated to Application Masters. Although there are many components of RM, the core ones are: ApplicationsManager (AsM), Application Master Launcher, scheduler, and ResourceManager. AsM keeps track of which AM got assigned for which job and requests the launch of AM using AM Launcher. These are all part of the ResourceManager and are depicted in the following diagram. These components can be segregated for better control and management of resources:

In this recipe, we will see how different components can be separated out, although not necessary, and controlled independently.

Getting ready

Before starting with this recipe, it is good to read about the components of ResourceManager and what each component does. There are lot of good resources available online for this. Also, make sure that there is a running cluster...