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HBase High Performance Cookbook

You're reading from   HBase High Performance Cookbook Solutions for optimization, scaling and performance tuning

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Product type Paperback
Published in Jan 2017
Publisher Packt
ISBN-13 9781783983063
Length 350 pages
Edition 1st Edition
Languages
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Author (1):
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Ruchir Choudhry Ruchir Choudhry
Author Profile Icon Ruchir Choudhry
Ruchir Choudhry
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Table of Contents (19) Chapters Close

HBase High Performance Cookbook
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Configuring HBase FREE CHAPTER 2. Loading Data from Various DBs 3. Working with Large Distributed Systems Part I 4. Working with Large Distributed Systems Part II 5. Working with Scalable Structure of tables 6. HBase Clients 7. Large-Scale MapReduce 8. HBase Performance Tuning 9. Performing Advanced Tasks on HBase 10. Optimizing Hbase for Cloud 11. Case Study 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...

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