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

Tuning HDFS


In the previous few recipes, we tuned the operating system, disks, and network setting for the installation of Hadoop.

In this recipe, we will tune HDFS for best performance. As stated initially, the HDFS read/write performance on a node with a slow disk and resource constraints will be slower compared to a node having a faster disk, CPU, and RAM. Tuning is always a layered approach, tuning each layer in conjunction to come to a final result.

Getting ready

To complete the recipe, the user must have a running cluster with HDFS and YARN setup. Users can refer to Chapter 1, Hadoop Architecture and Deployment, on installation details.

The assumption here is that the user is well familiar with HDFS concepts and knows its layout. Please read the Tuning the disk recipe, as HDFS will be a pseudo-file system of a native EXT4 or XFS filesystem.

How to do it...

  1. Connect to the Namenode master1.cyrus.com and switch to user hadoop.

  2. Edit the file hdfs-site.xml and change the HDFS block size to be...