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Spring Data Elasticsearch

1. OverviewIn this article we’ll explore the basics of Spring Data Elasticsearch in a code-focused, practical manner. We’ll show how to index, search, and query Elasticsearch in a Spring application using Spring Data – a Spring module for interaction with a popular open-source, Lucene-based search engine. While Elasticsearch is schemaless, it can use mappings in order to tell the type of a field. When a document is indexed, its fields are processed according to their types. For example, a text field will be tokenized and filtered according to mapping rules. You could also create filters and tokenizers of your own. 2. Spring DataSpring Data helps avoid boilerplate code. For example, if we define a repository interface that extends the ElasticsearchRepository interface provided by Spring Data Elasticsearch, CRUD operations for the corresponding document class will be made available by default. Additionally, simply by declaring methods with names in a prescribed format, method implementation…

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