spring-data-jpa

When to use this skill

Use this skill whenever the user wants to:

• Define entities, repositories, query methods, and transactions with Spring Data JPA
• Configure data sources, JPQL, specifications, and auditing

How to use this skill

1. Core: @Entity, JpaRepository, CrudRepository; method name queries, @Query, Pageable.
2. Advanced: @EntityGraph, Specification, auditing @CreatedDate; multiple data sources and transaction propagation.
3. Reference：https://spring.io/projects/spring-data-jpa

Best Practices

• N+1 and fetch strategies; pagination and batch operations.
• Separate entities from DTOs; define clear transaction boundaries.

Keywords

spring data jpa, JPA, Repository, persistence

Common Pitfalls (Gotchas)

1. Version compatibility: Pay attention to compatibility between framework versions and dependency libraries; APIs may differ across versions.
2. Configuration file format: Configuration file format errors are the most common issue; it is recommended to use the editor's syntax checking.
3. Environment variables: Ensure all necessary environment variables are set correctly, and do not hardcode sensitive information.
4. Dependency conflicts: When multiple versions coexist, watch out for dependency conflicts and use a lock file to pin versions.
5. Performance pitfalls: In large data volume scenarios, pay attention to performance optimization and avoid common issues such as N+1 queries.

Usage Flow

Step 1: Environment preparation

Ensure the development environment has the necessary dependencies and tools installed.

Step 2: Configuration initialization

Perform basic configuration according to project requirements.

Step 3: Using core features

Implement the core features according to the example code.

Step 4: Testing and verification

Run tests to ensure the functionality works properly.

Step 5: Deployment and release

After completing development, proceed with deployment and monitoring.