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

Memory requirements


In this recipe, we will look at the memory requirements per node in the cluster, especially looking at the memory on Datanodes as a factor of storage.

Despite having large clusters with many Datanodes, it is of not much use if the nodes do not have sufficient memory to serve the requests. A Namenode stores the entire metadata in the memory and also has to take care of the block reports sent by the Datanodes in the cluster. The larger the cluster, the larger will be the block reports, and the more resources a Namenode will require.

The intent of this recipe is not to tune it for memory, but to give an estimate on the memory required per node.

Getting ready

To complete this recipe, the user must have completed the Disk space calculations recipe and the Nodes needed in the cluster recipe. For better understanding, the user must have a running cluster with HDFS and YARN configured and must have played around with Chapter 1, Hadoop Architecture and Deployment and Chapter 2, Maintaining...