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

Setting up single node HBase cluster


In this recipe, we will see how to set up an HBase single node cluster and its components. Apache HBase works on the basis of client server architecture with an HBase master and slaves known as region servers. The HBase master can be co-located with the Namenode, but it is recommended to run it on a dedicated node. The region servers will run on Datanodes.

In this recipe, we are just setting up a single node HBase cluster with the HBase master, a region server running on a single node with Namenode, and Datanode daemons.

Getting ready

Before going through the recipes in this chapter, make sure you have gone through the steps to install the Hadoop cluster with HDFS and YARN enabled. We need a single node for this recipe, so make sure you choose a node with decent configuration.

We are using a standalone ZooKeeper in this recipe or you can point it to the already configured ZooKeeper ensemble from the previous Hive with ZooKeeper recipe in Chapter 7, Data Ingestion...