backend-spring-data

To detect Spring Data JPA transactional bugs, review private transactional methods and self-invocation cases where proxies are bypassed. Checking these invocation patterns prevents silent transaction boundary failures that compile cleanly but break at runtime.

Reviewing JPQL or native update queries requires checking for missing @Modifying annotations and absent transaction boundaries. Auditing repository methods ensures modifying queries execute correctly within Spring Data JPA without throwing silent transaction errors.

Common Spring Data JPA entity design pitfalls include incorrect equals and hashCode implementations, improper fetch strategy choices, and misconfigured cascade rules. Reviewing entity mappings and repository annotation patterns prevents persistent context corruption and unexpected loading behavior.

Yes, this Spring Data JPA review process applies to Spring Boot 3.x services using JPA repositories and transactional service methods. It checks transactional correctness, query mutations, entity equality, and fetch strategy problems specific to the Spring Boot 3.x framework.

Check readOnly transaction settings and propagation choices during a focused correctness pass before merging. Reviewing transactional behavior for read-only optimization and propagation choices ensures Spring Data JPA repository methods perform efficiently without unnecessary write locks.

Validate entity graphs and fetch strategies by reviewing repository annotation patterns and mapping configurations. Checking entity graphs in Spring Data JPA ensures queries load required associations efficiently, avoiding N+1 select issues and suboptimal data fetching.