
ElasticSearch Cookbook
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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.
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.
To create a river plugin we need atleast the following classes:
We...
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