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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

Handling the "unable to create new native thread" error

In this recipe, we will describe how to troubleshoot the error shown in the following RegionServer logs:

2012-02-18 18:46:04,907 WARN org.apache.hadoop.hdfs.DFSClient: DataStreamer Exception: java.lang.OutOfMemoryError: unable to create new native thread
at java.lang.Thread.start0(Native Method)
at java.lang.Thread.start(Thread.java:640)
at org.apache.hadoop.hdfs.DFSClient$DFSOutputStream$DataStreamer.run(DFSClient.java:2830)

Getting ready

To fix this error, you will need root privileges on every node of the cluster. We assume you use the hadoop user to start your HDFS and HBase clusters.

How to do it...

To fix the "unable to create new native thread" error, execute the following steps on every node of the cluster:

1. Increase the maximum number of processes of the hadoop user by adding the following properties to the /etc/security/limits.conf file:
```
$ vi /etc/security/limits.conf
hadoop soft nproc 32000
hadoop hard nproc 32000
```
2. Add the...

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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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