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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

Configuring Hbase for the Cloud


Before we start, let's take a quick look at the supported versions and the prerequisites you need to move ahead.

The list of supported versions is as below:

Hbase Version

AMI Versions

AWS CLI configuration parameters

Hbase Version details

0.94.18

3.1.0 and later

--ami-version 3.1

--ami-version 3.2

--ami-version 3.3

--applications Name=Hbase

Bug fixes

0.94

3.0-3.0.4

--ami-version 3.0

--applications Name=Hbase

 

0.92

2.2 and later

--ami-version 2.2 or later

--applications Name=HBase

 

Now let's look at the prerequisites:

  • At least two instances (Optional): The cluster's master node runs the HBase master server and Zookeeper, and slave nodes run the HBase region servers.

    For optimum performance and production systems, HBase clusters should run on at least two EC2 instances, but you can run HBase on a single node for evaluation purposes.

  • Long-running clusters: HBase only runs on long-running clusters. By default, the CLI and Amazon EMR console create...

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