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ElasticSearch Cookbook

ElasticSearch Cookbook

By : Alberto Paro
4.1 (7)
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ElasticSearch Cookbook

ElasticSearch Cookbook

4.1 (7)
By: Alberto Paro

Overview of this book

ElasticSearch is one of the most promising NoSQL technologies available and is built to provide a scalable search solution with built-in support for near real-time search and multi-tenancy. This practical guide is a complete reference for using ElasticSearch and covers 360 degrees of the ElasticSearch ecosystem. We will get started by showing you how to choose the correct transport layer, communicate with the server, and create custom internal actions for boosting tailored needs. Starting with the basics of the ElasticSearch architecture and how to efficiently index, search, and execute analytics on it, you will learn how to extend ElasticSearch by scripting and monitoring its behaviour. Step-by-step, this book will help you to improve your ability to manage data in indexing with more tailored mappings, along with searching and executing analytics with facets. The topics explored in the book also cover how to integrate ElasticSearch with Python and Java applications. This comprehensive guide will allow you to master storing, searching, and analyzing data with ElasticSearch.
Table of Contents (14 chapters)
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13
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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