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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

Introduction


As the usage of HBase is becoming a more real-time-based, it's important to make sure that HBase performs the read and write at a consistent speed agnostic to the scale at which it is running:

Type of work

Usage patterns

Remarks

Data intensive

IO, Network

Copying data from HDFS

Text searching

CPU, IO, Network

Locating different sets of data

Machine learning

CPU, IO, Network

Grouping, categorizing, applying models

MapReduce, indexing, grouping

IO, CPU, Networking

Filtering, realigning, combining

Master, slave, region server, Zookeeper communication

Network, CPU, IO

Communicating between different systems, load balancing

In doing so, we need to make sure that all the distributed components perform at a benchmark that is executable on the Linux-based OS.

The list of distributed components is as follows:

  • Hardware

  • OS (Linux, REH6.5)

  • JVM/Java 1.7.0_10 and above

  • HDFS

  • Read/write on the OS

  • Region servers

  • Master servers/HMaster

  • Client servers/HClient

  • Zookeeper

  • Table design

  • Large...

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