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ElasticSearch Cookbook

You're reading from   ElasticSearch Cookbook As a user of ElasticSearch in your web applications you'll already know what a powerful technology it is, and with this book you can take it to new heights with a whole range of enhanced solutions from plugins to scripting.

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Product type Paperback
Published in Dec 2013
Publisher Packt
ISBN-13 9781782166627
Length 422 pages
Edition 1st 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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Toc

Table of Contents (14) Chapters Close

Preface 1. Getting Started FREE CHAPTER 2. Downloading and Setting Up ElasticSearch 3. Managing Mapping 4. Standard Operations 5. Search, Queries, and Filters 6. Facets 7. Scripting 8. Rivers 9. Cluster and Nodes Monitoring 10. Java Integration 11. Python Integration 12. Plugin Development Index

Creating an analyzer plugin

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

Typically you need to create an analyzer plugin when you need to add standard Lucene analyzers/tokenizers not provided by ElasticSearch, to integrate third-party analyzers, and 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 a working ElasticSearch node, a Maven built tool, and an optional Java IDE. The code of this recipe is available in the chapter12/analysis_plugin directory.

How to do it...

An analyzer plugin is generally composed by the following classes:

  • A plugin class, which registers BinderProcessor
  • A BinderProcessor class, which registers one or more AnalyzerProviders classes
  • An AnalyzerProviders class, which provides an analyzer

For creating an analyzer plugin, we...

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