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

HBase troubleshooting


In this recipe, we will look at HBase troubleshooting and how to identify some of the common issues in the HBase cluster.

Getting ready

Make sure that the user has completed the Setting up multi-node HBase cluster recipe in Chapter 9, HBase Administration for this section, and the assumption is that HDFS and YARN are working fine. Refer to previous recipes to troubleshoot any issues with the Hadoop cluster, before starting troubleshooting of HBase.

How to do it...

  1. Connect to the master1.cyrus.com master node and switch to user hadoop.

  2. Firstly, make sure ZooKeeper is up and the ensemble is healthy, as shown in the following screenshot — this is only if an external ZooKeeper is used:

  3. Rather than starting the entire cluster in one go, start each component one-by-one. Start hbase master using the following command:

    $ hbase-daemon.sh start master
    
  4. Quickly check which nodes and services the HBase master is talking to. In the following screenshot, we can see connections to ZooKeeper...