Book Image

HBase Administration Cookbook

By : Yifeng Jiang
Book Image

HBase Administration Cookbook

By: Yifeng Jiang

Overview of this book

As an Open Source distributed big data store, HBase scales to billions of rows, with millions of columns and sits on top of the clusters of commodity machines. If you are looking for a way to store and access a huge amount of data in real-time, then look no further than HBase.HBase Administration Cookbook provides practical examples and simple step-by-step instructions for you to administrate HBase with ease. The recipes cover a wide range of processes for managing a fully distributed, highly available HBase cluster on the cloud. Working with such a huge amount of data means that an organized and manageable process is key and this book will help you to achieve that.The recipes in this practical cookbook start from setting up a fully distributed HBase cluster and moving data into it. You will learn how to use all of the tools for day-to-day administration tasks as well as for efficiently managing and monitoring the cluster to achieve the best performance possible. Understanding the relationship between Hadoop and HBase will allow you to get the best out of HBase so the book will show you how to set up Hadoop clusters, configure Hadoop to cooperate with HBase, and tune its performance.
Table of Contents (16 chapters)
HBase Administration Cookbook
Credits
About the Author
Acknowledgement
About the Reviewers
www.PacktPub.com
Preface

Adding nodes to the cluster


One of the most important HBase features is that it is extremely scalable. HBase lineally scales out by adding nodes to the cluster. It is easy to start at a small cluster and scale it out when your service and data grows. Adding a region server to an HBase cluster would be an important maintenance task for administrators.

An HBase cluster can only have one active master node. However, we can add a backup master node to the cluster to make the HBase master highly available (HA) .

In this recipe, we will describe how to add a backup master node to an HBase cluster. We will also describe adding region servers to a cluster after that.

Getting ready

Download and install HBase on the new master or region server first. Make sure the HBase configuration on that node is synced with other nodes in the cluster.

A region server usually runs on the same DataNode/TaskTracker of Hadoop. You might want to install Hadoop and start DataNode and TaskTracker on that node too.

We assume...