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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 a river plugin

In Chapter 8, Rivers, we have seen how powerful the river plugin is. It allows populating an ElasticSearch cluster from different sources (DBMS, NoSQL system, streams, and so on).

Creating a custom river is generally required if you need to add a new NoSQL data source that is not supported by the already existing plugins, add a new stream type, or add a custom business logic for importing data in ElasticSearch such as fields modification, data aggregation, and, in general, data brewery.

In this recipe we will see a simple river that generates documents with a field containing an incremental value.

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/river_plugin directory.

How to do it...

To create a river plugin we need atleast the following classes:

  • The plugin that registers a river module
  • A river module that registers our river
  • The river that executes our business logic

We...

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