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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

1. www.PacktPub.com

2. Preface

1. Setting Up HBase Cluster

2. Data Migration

3. Using Administration Tools

4. Backing Up and Restoring HBase Data

5. Monitoring and Diagnosis

6. Maintenance and Security

7. Troubleshooting

8. Basic Performance Tuning

9. Advanced Configurations and Tuning

Troubleshooting tools

In order to troubleshoot an HBase cluster, besides a solid knowledge of the cluster you are operating, the tools you use are also important. We would like to recommend the following troubleshooting tools:

ps: This can be used to find the top process that used the most memory and CPU
ClusterSSH tool: This tool is used to control multiple SSH sessions simultaneously
jps: This tool shows the Java processes for the current user
jmap: This tool prints the Java heap summary
jstat: This is the Java Virtual Machine statistics monitoring tool
hbase hbck: This tool is used for checking and repairing region consistency and table integrity
hadoop fsck: This tool is used for checking HDFS consistency

We will describe sample usage of these tools, in this recipe.

Getting ready

Start your HBase cluster.

How to do it...

The following are the troubleshooting tools we will describe:

ps: This tool is used to find the top processes that occupied large amounts of memory. The following...

The rest of the chapter is locked

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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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