Elasticsearch Object Mapping and Repositories
Explore how to transform Java POJOs into Elasticsearch documents with annotations like @Document and @Id. Understand how to create repositories extending ElasticsearchRepository to perform CRUD operations. Learn to manage Book and Author entities effectively within Spring Data Elasticsearch to leverage powerful indexing and search capabilities.
In Spring Data Elasticsearch, documents are Java objects mapped to JSON structures in Elasticsearch indexes. These objects represent data entities and are annotated with metadata for indexing and querying. Spring Data Elasticsearch simplifies document management, enabling seamless interaction between Java objects and Elasticsearch’s powerful indexing and search capabilities.
Documents
Let’s look at the same example of the Book and Author POJOs, which reference the book and author database documents and convert them into Elasticsearch document classes.
The Book document
Let’s learn a few handy annotations to transform a POJO into an Elasticsearch document. The most common annotations are @Document and @Id:
-
The
@Documentannotation allows us to map a POJO to a database document via the underlying data access layer. -
The
@Idannotation allows us to map a property to an ...