spring-data-jpa

To avoid N+1 queries in Spring Data JPA, apply fetch strategies using @EntityGraph and optimized indexes. This pattern produces annotated entity classes that efficiently load associations, preventing performance issues during large dataset retrieval.

The best way to configure pagination in Spring Data JPA is using Pageable-compatible query methods within your JpaRepository interfaces. This approach generates efficient page-aware queries, ensuring reliable sorting and filtering for large datasets.

Implement Spring Data JPA auditing by applying @CreatedDate, @LastModifiedBy, and AuditorAware annotations to your entities. This configuration automatically tracks and persists creation and modification metadata across your persistence layer.

Yes, Spring Data JPA supports UUID primary keys and multiple datasource setups. This Skill provides configuration patterns for both, enabling scalable multi-database architectures while maintaining robust entity mapping and transaction boundaries.

Write derived methods in a JpaRepository interface by naming methods based on property fields, or use @Query for JPQL and native SQL. This supports projections and @Modifying operations for complex updates and deletes.

Use @Transactional annotations in Spring Data JPA to define correct transaction boundaries and propagation. This ensures reliable transaction handling across repository operations, preventing fragile data states during complex persistence tasks.