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

How HBase truly scales on key and schema design


In HBase schema design is one of the most critical part as it can be lifeline for a system which can grow on petabytes of data at a rapid pace.

Note

As the internal structure of HBase is designed to scale at a very high level of read and write the design of the data structure needs to use the same principles. It is essential to design the schema based on the access patterns of the applications like the row, key and the table structure must follow the same guiding thought. This defies the core principles on which the foundation of relational databases.

In HBase you design a denormalized table keeping in mind how the data will be effectively retrieved and inserted (put and get) by the applications and will perform with a consistency as the volume of data grows, so you need to plan in much advance.

You are much closer to the system with HBase as compared to the RDBMS.

It is essential to design the system which allows storage of very large volume of...