What are common failure modes of Spring Data JPA Repositories?

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Quick interview answer

Common failures around Spring Data JPA Repositories: blocking the hot path, ignoring backpressure, and weak timeout/retry design. Long derived method names unreadable; missing @Transactional on service layer writes.

Detailed answer

Failure modes for Spring Data JPA Repositories: Known pitfalls: Long derived method names unreadable; missing @Transactional on service layer writes. • Missing timeouts / unbounded retries • No backpressure when downstream slows • Assuming ordering/guarantees the runtime does not provide How seniors prevent them: Use @EntityGraph or JOIN FETCH for associations; DTO projections for reads. Parent context: Use Spring Data JPA Repositories as the core idea. Example shape: findByEmailIgnoreCaseAndActiveTrue(String email) generates query at startup..

Full explanation

Name concrete failure modes and the mitigation for each — that scores higher than a vague “it can fail.” Interface extending JpaRepository<T,ID> gets CRUD + query methods from method names. @Query for JPQL/native; Pageable for pagination.

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Parent context — Spring Data JPA Repositories

Use Spring Data JPA Repositories as the core idea. Example shape: findByEmailIgnoreCaseAndActiveTrue(String email) generates query at startup..

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