Search icon CANCEL
Subscription
0
Cart icon
Cart
Close icon
You have no products in your basket yet
Save more on your purchases!
Savings automatically calculated. No voucher code required
Arrow left icon
All Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Newsletters
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
HBase High Performance Cookbook

You're reading from  HBase High Performance Cookbook

Product type Book
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Pages 350 pages
Edition 1st Edition
Languages
Author (1):
Ruchir Choudhry Ruchir Choudhry
Profile icon Ruchir Choudhry
Toc

Table of Contents (19) Chapters close

HBase High Performance Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Configuring HBase 2. Loading Data from Various DBs 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 in MemStore...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €14.99/month. Cancel anytime