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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

HBase data model part 2

In the preceding section we discussed details about the core structure of the Hbase data model in this section we would like to go a step further deep to understand and do things, which will make your data model flexible, robust and scalable. And this is essential to know on an operation level too, as the cluster grows it becomes pivotal to take all consideration.

We should take the following steps to make it happen:

  • Timestamps
  • Versions
  • Sort order
  • Column metadata
  • Joins

Timestamps: Every put in HBase is marked with a unique timestamp and this acts as a unique reference for a provided version of a value.

HBase associates timestamp by default mapping it with the respective region server. This default characteristic has a lot of flexibility and you can even specify timestamp value while putting date to the cell of that region server.

In case of multi-datacenter timestamp provides a way to avoid conflicts. In some use cases you can also use it to provide consistency of versions...

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