Book Image

HBase High Performance Cookbook

By : Ruchir Choudhry
Book Image

HBase High Performance Cookbook

By: Ruchir Choudhry

Overview of this book

Apache HBase is a non-relational NoSQL database management system that runs on top of HDFS. It is an open source, disturbed, versioned, column-oriented store and is written in Java to provide random real-time access to big Data. We’ll start off by ensuring you have a solid understanding the basics of HBase, followed by giving you a thorough explanation of architecting a HBase cluster as per our project specifications. Next, we will explore the scalable structure of tables and we will be able to communicate with the HBase client. After this, we’ll show you the intricacies of MapReduce and the art of performance tuning with HBase. Following this, we’ll explain the concepts pertaining to scaling with HBase. Finally, you will get an understanding of how to integrate HBase with other tools such as ElasticSearch. By the end of this book, you will have learned enough to exploit HBase for boost system performance.
Table of Contents (19 chapters)
HBase High Performance Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
7
Large-Scale MapReduce
Index

Auto Scaling HBase using AWS


Auto Scaling is a concept which came into existence because of the wide spread use of AWS Amazon Web Service platform. It allows the infrastructure to scale elastically, or words as needed. We can create auto-scaling groups from scratch and use the existing production instance to scale up as needed. Auto scaling gives an extra layer of fault tolerance, high availability and flexibility, at a very effective cost. If we are able to predict or plan the traffic pattern, then we can do predictive scaling on top of auto scaling.

In case of HBase we can create a Auto Scaling groups of region servers, namenode, secondary namenode, use Amazons Elastic Map Reduce (EMR), most of the know tools are already integrated with Amazon EMR, like Pig, Hive, Ganglia, DistCp and so on.

Getting Ready

This is based on the Amazon HBase EMR details and full credit is given to the Amazon doc.

  • To run HBase in AWS env there are guideline which a user needs to adhere to. Amazon Elastic MapReduce...