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HBase High Performance Cookbook

You're reading from  HBase High Performance Cookbook

Product type Book
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Pages 350 pages
Edition 1st Edition
Languages
Author (1):
Ruchir Choudhry Ruchir Choudhry
Profile icon Ruchir Choudhry
Toc

Table of Contents (19) Chapters close

HBase High Performance Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Configuring HBase 2. Loading Data from Various DBs 3. Working with Large Distributed Systems Part I 4. Working with Large Distributed Systems Part II 5. Working with Scalable Structure of tables 6. HBase Clients 7. Large-Scale MapReduce 8. HBase Performance Tuning 9. Performing Advanced Tasks on HBase 10. Optimizing Hbase for Cloud 11. Case Study Index

Replication


As the system grows and becomes more distributed, the need for data replication grows rapidly. It works on the core principle of moving a transactional data from one cluster to another. Usually, the master initiates the push to the slave. These transactions are usually done in an asynchronous manner. This is done to minimize the overhead on the master system. Usually, these transactions are done in a batch mode, and the size of the data packets can be controlled by the configuration size.

The benefits of HBase replication are as follows:

  • Data aggregation

  • Online data ingestion combined with offline data analysis

  • Geographic data distribution across multiple data centres

  • Backup and disaster recovery

How to do it…

  1. Let's edit hbase-site.xml:

    ${HBASE_HOME}/conf/hbase-site.xml on both clusters and add the following:
    <property>
    <name>hbase.replication</name>
    <value>true</value>
    </property>
  2. Copy or SCP hbase-site.xml to all nodes.

  3. Recylce the HBase cluster if...

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