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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
Tools
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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

Setting up multi-node HBase cluster

In this recipe, we will configure an HBase fully distributed cluster with ZooKeeper quorum formed by three nodes. This is the recommended configuration for the production environment.

Getting ready

The user is expected to complete the previous recipe and must have completed the recipes for setting up Hive with ZooKeeper. In this recipe, we will be using the already configured ZooKeeper ensemble.

How to do it...

  1. Connect to the master1.cyrus.com master node in the cluster and change to the user hadoop.
  2. Stop any daemons running from the previous HBase recipe.
  3. Make sure the HBase package is downloaded, extracted, and the environment variables are set up as discussed in the previous recipe.
  4. To confirm the setup, execute the commands as shown in the following screenshot:
    How to do it...
  5. Edit the hbase-site.xml file, as shown here:
    <property>
        <name>hbase.master</name>
        <value>master1.cyrus.com:60000</value>
    </property>
    
    <property>
      ...
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