Essential Spring Data Guides: JPA and Elasticsearch Articles

This collection summarizes two tutorial series that cover the core features of Spring Data for relational databases (JPA) and for Elasticsearch.

Spring Data JPA series

Basic configuration : How to add spring-boot-starter-data-jpa, configure a datasource (URL, driver, username, password), set the JPA vendor (Hibernate), enable repository scanning with @EnableJpaRepositories, and define @Entity classes and repository interfaces that extend JpaRepository.

Inherited methods : Overview of the CRUD methods ( save, findById, findAll, delete) and pagination/sorting methods inherited from PagingAndSortingRepository.

Query creation : Using Spring Data’s method‑name conventions (e.g., findByLastNameAndAgeGreaterThan) to let the framework generate JPQL queries automatically.

Named queries : Defining static JPQL queries with @NamedQuery on an entity or in orm.xml and invoking them through repository method names.

Using @Query annotation : Writing custom JPQL or native SQL directly in a repository method with @Query, optionally marking the method with @Modifying for update/delete operations.

Sorting with Sort : Supplying an org.springframework.data.domain.Sort object (or Pageable with sort) to repository methods to order result sets.

Spring Data Elasticsearch series

Elasticsearch architecture overview (Part 1) : Introduction to Elasticsearch clusters, nodes, primary shards, replica shards, and the RESTful HTTP API used for indexing and searching.

Series overview and getting started (Part 2) : Adding the spring-data-elasticsearch dependency, configuring a RestHighLevelClient, enabling repository scanning with @EnableElasticsearchRepositories, and defining @Document -annotated entity classes.

Basic case study (Part 3) : Implementing an ElasticsearchRepository, indexing sample documents, executing simple match queries, and applying pagination via PageRequest.

Real‑world case study (Part 4) : Advanced usage including custom repository methods, native Elasticsearch JSON DSL queries with @Query, aggregations, bulk indexing, and handling of complex result mappings.

All articles are compiled from the spring4all.com community and provide step‑by‑step guidance for mastering Spring Data JPA and Spring Data Elasticsearch.