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

Introduction


In this chapter, we will consider the communication between HBase using different types of clients. We will also discuss briefly when which client is suitable and why.

It's very much possible to use HBase without the use of Java. There are two main ways to access the data: REST based and using Thrift API. Also one of the priorities was to decouple the HBase client application with HBase server-side components. The HBase client can write to different clusters having two different versions and should work seamlessly; that is to say that a client running on version A and a server running on version A2 will be able to communicate.