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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

Scaling elastically or Auto Scaling with built-in fault tolerance

Before we go into Auto Scaling we need to give a microscopic view of how HBase accomplishes auto-sharding and how the distributed components within HBase architecture work.

Let's first look at Region.

HBase Regions are a subgroup of table's data which is adjoining; these are in a sorted order of range of rows which sit together, and these regions are distributed across the clusters. Region never overlaps with other regions and the job of a single region server is to serve to expose Region details to the region client at any given point of time; this way HBase provides a guarantee a very strong consistency.

The region has many stores.

A stores hosts a MemStore and deals with the store files (commonly known as HFiles). MemStore is an In-Memory state of the data and takes care of the modifications of the key/value pairs. Due to the following reason (as following) when a flush process is initiated the data which is residing...

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