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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

Changing the configuration of components


In this section, we will discuss the configuration changes that can help us improve the overall performance of HBase.

Getting ready…

Let's start with hbase-site.xml:

hbase.hregion.max.filesize:

The first step is to think in advance how to split the regions, which can be done using this parameter (hbase.hregion.max.filesize). In this scenario, the size of the one of the store in the region is constantly monitored by the HBase internal process. Once the internal process detects that the size is greater than what was specified by this parameter, it splits the region. The default value is 10 GB.

hbase.regionserver.handler.count:

This is primarily used to govern the incoming request to the user tables. This allocates the listener threads, which intercept the call to the user tables. In case of very high volume cluster, it's important to increase it. The default is 10.

Note

A proper estimation needs to be done to fine-tune this setting based on the usage patterns...

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