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Hadoop 2.x Administration Cookbook

You're reading from   Hadoop 2.x Administration Cookbook Administer and maintain large Apache Hadoop clusters

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Product type Paperback
Published in May 2017
Publisher Packt
ISBN-13 9781787126732
Length 348 pages
Edition 1st Edition
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Author (1):
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Aman Singh Aman Singh
Author Profile Icon Aman Singh
Aman Singh
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Toc

Table of Contents (14) Chapters Close

Preface 1. Hadoop Architecture and Deployment FREE CHAPTER 2. Maintaining Hadoop Cluster HDFS 3. Maintaining Hadoop Cluster – YARN and MapReduce 4. High Availability 5. Schedulers 6. Backup and Recovery 7. Data Ingestion and Workflow 8. Performance Tuning 9. HBase Administration 10. Cluster Planning 11. Troubleshooting, Diagnostics, and Best Practices 12. Security 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:
    How to do it...
  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...
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