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


This chapter gives a holistic picture of how we can integrate the different distributed components and create a project or make meaningful work out of it. There are different ways to bridge Solr and Hbase to make it work as a single integrated unit like.

  • Batch-indexing Hbase tables using MapReduce jobs

  • Lily Hbase indexer services

  • Registering a Lily Hbase Indexer configuration with the Lily Hbase Indexer Services.

Note

For this book we will consider Lily Hbase solr platform and work with the examples.

Lily simplifies the integration touch points between Hbase, Solr, Hadoop and other distributed Hadoop frameworks.

Some features included in the Lily framework are:

  • Ease of use through a high-level schema supporting rich and mixed, structured and unstructured, data sets

  • Developer-friendly, powerful, and expressive REST and Java API

  • Flexible, configurable indexing system supporting real-time indexing into Solr

  • Under the hood, Lily operates a high-preferment yet robust queuing mechanism, Lily...