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HBase High Performance Cookbook

You're reading from   HBase High Performance Cookbook Solutions for optimization, scaling and performance tuning

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Length 350 pages
Edition 1st Edition
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Author (1):
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Ruchir Choudhry Ruchir Choudhry
Author Profile Icon Ruchir Choudhry
Ruchir Choudhry
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Table of Contents (13) Chapters Close

Preface 1. Configuring HBase 2. Loading Data from Various DBs FREE CHAPTER 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

Working with infrastructure/operating systems


Infrastructure design plays an important role in HBase optimization and performance. An HBase engineer is pivotal for making the right choices during the initial phase of the design as once the data grows exponentially, it starts bringing in operational challenges. In addition to this, the infrastructure should perform to the predefined performance criteria as the cluster transitions from small to medium and from medium to large.

Getting ready…

HBase works in the master-slave pattern, wherein a master comprises HDFS NameNode, MapReduce JobTracker, and HBase Master, and the slave contains HDFS DataNode, the MapReduce TaskTrackers, and the HBase region servers. It's better to collocate DataNode HBase region server, which helps in data locality and hence increases the performance of the system as the data does not cross the network.

HBase also requires managing a separate component of ZooKeeper; this manages the HBase cluster.

It's always better to...

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