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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 REST and Java Client


HBase provides various communication mechanisms for communicating with the datastore, and it's also designed to solve different types of scenario that can occur.

Using the REST server, we are channeling all the requests to HTablePool, which provides efficiency in the following ways:

  • Efficient connection pool management.

  • If there is a case where an object is short-lived, it goes through the entire lifecycle of connection creation, such as connection preparation, preparing metadata, and then the actual transaction. This is totally avoided as the connection object is readily available.

  • Use of caching of the RegionServer information provides significant benefits.

  • In case of less but large size requests, REST is better:

How to do it…

Let's connect to the cluster that we created earlier and make sure that all the components are working.

The structure of the call will be as follows:

Let's log in to the HBase Master by executing the following command:

  1. Before we start the rest services...

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