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HBase Administration Cookbook

You're reading from HBase Administration Cookbook

Product type Book

Published in Aug 2012

Publisher Packt

ISBN-13 9781849517140

Pages 332 pages

Edition 1st Edition

Languages

Concepts

Database Administration

Author (1):

Yifeng Jiang

Table of Contents (16) Chapters

HBase Administration Cookbook

Credits

About the Author

Acknowledgement

About the Reviewers

www.PacktPub.com

Preface

Setting Up HBase Cluster

Data Migration

Using Administration Tools

Backing Up and Restoring HBase Data

Monitoring and Diagnosis

Maintenance and Security

Troubleshooting

Basic Performance Tuning

Advanced Configurations and Tuning

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...

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Authors (1)

Yifeng Jiang

Yifeng Jiang is a Hadoop and HBase Administrator and Developer at Rakutenthe largest e-commerce company in Japan. After graduating from the University of Science and Technology of China with a B.S. in Information Management Systems, he started his career as a professional software engineer, focusing on Java development. In 2008, he started looking over the Hadoop project. In 2009, he led the development of his previous company's display advertisement data infrastructure using Hadoop and Hive. In 2010, he joined his current employer, where he designed and implemented the Hadoop- and HBase-based, large-scale item ranking system. He is also one of the members of the Hadoop team in the company, which operates several Hadoop/HBase clusters

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