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 the disk


In this recipe, we will tune the disk drives to give the optimal performance. For I/O bound workloads like sorting, indexing, data movement disks, and network play an important role and need to be addressed in the right manner.

The workload conditions on a Datanode will be different from that of a Namenode or that of a database running a MySQL metastore. The changes mentioned in the following recipe are valid for all nodes, unless explicitly mentioned otherwise.

Getting ready

To step through the recipe in this section, we need at least one node to test and to make the configuration first, and the same can be applied to nodes within the same categories of master nodes or Datanodes. It is recommended to read Chapter 10, Cluster Planning, to get an idea about the cluster layout.

How to do it...

  1. Connect to a node which at a later stage will be used to install Hadoop. We are using the node, master1.cyrus.com.

  2. Switch to root user or have sudo privileges.

  3. Make sure that you have different...