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 administration commands


In this recipe, we will look at HBase administration commands, which are very useful for troubleshooting and managing the cluster.

Being an HBase administrator in a company, one needs to perform backup, recovery, troubleshooting, tuning, and many other complex things. It is good to know about the commands to make intuitive decisions.

Getting ready

To complete the recipe, you must have a running HBase cluster and must have completed the Setting up HBase multi-node cluster recipe.

How to do it...

  1. Connect to the master1.cyrus.com master node in the cluster and switch to the user hadoop. Note that we can connect to any node in the cluster or use HBase client for connections.

  2. Connect to the HBase shell prompt and execute the commands shown in the next few steps to get familiar with HBase:

    $ hbase shell
      hbase> list
      hbase> version
      hbase> whoami
    
  3. We can drop the column family or disable a table as shown next. Do not execute these on production database, unless...