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Elasticsearch 5.x Cookbook

You're reading from   Elasticsearch 5.x Cookbook Distributed Search and Analytics

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Product type Paperback
Published in Feb 2017
Publisher
ISBN-13 9781786465580
Length 696 pages
Edition 3rd Edition
Languages
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Author (1):
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Alberto Paro Alberto Paro
Author Profile Icon Alberto Paro
Alberto Paro
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Table of Contents (25) Chapters Close

Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Dedication
Preface
1. Getting Started 2. Downloading and Setup FREE CHAPTER 3. Managing Mappings 4. Basic Operations 5. Search 6. Text and Numeric Queries 7. Relationships and Geo Queries 8. Aggregations 9. Scripting 10. Managing Clusters and Nodes 11. Backup and Restore 12. User Interfaces 13. Ingest 14. Java Integration 15. Scala Integration 16. Python Integration 17. Plugin Development 18. Big Data Integration

Creating an analyzer plugin


Elasticsearch provides, out-of-the-box, a large set of analyzers and tokenizers to cover general needs. Sometimes we need to extend the capabilities of Elasticsearch by adding new analyzers.

Typically you can create an analyzer plugin when you need:

  • To add standard Lucene analyzers/tokenizers not provided by Elasticsearch

  • To integrate third-part analyzers

  • To add custom analyzers

In this recipe we will add a new custom English analyzer similar to the one provided by Elasticsearch.

Getting ready

You need an up-and-running Elasticsearch installation as we described in the Downloading and installing Elasticsearch recipe in Chapter 2, Downloading and Setup.

A Maven tool, or an IDE that supports Java programming, such as Eclipse or IntelliJ IDEA. The code for this recipe is available in the chapter17/analysis_plugin directory.

How to do it...

An analyzer plugin is generally composed of two classes:

  • A Plugin class, which implements the org.elasticsearch.plugins.AnalysisPlugin class...

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