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HBase High Performance Cookbook

HBase High Performance Cookbook

By : Ruchir Choudhry
2.5 (2)
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HBase High Performance Cookbook

HBase High Performance Cookbook

2.5 (2)
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 (13 chapters)
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7
7. Large-Scale MapReduce
12
Index

Chapter 8. HBase Performance Tuning

In this chapter, we will discuss various options to improve the performance of HBase even if the data is continuously growing in size in an exponential way.

We will also discuss the components that can be reconfigured to optimize the throughput both from hardware and software perspectives. In doing so, we will discuss the following recipes in detail. It's of utmost importance to know what the load patterns are, what CPU-intensive footprints are, which of them are IO intensive, and which systems will bring network chattiness in the infrastructure; and plan it in advance.

  • Working with the infrastructure/operating systems
  • Working with the Java virtual machine
  • Changing the configurations of components
  • Working with HDFS

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