Hibernate Orm Persistence

Hibernate ORM Persistence

Use When

• Complex entity graphs, inheritance, or custom SQL require full Hibernate control
• N+1 queries, fetch joins, or second-level cache tuning are needed
• Working with Hibernate directly (Jakarta EE) or via Spring Data JPA with native Hibernate features

Workflow

1. Model entities with clear aggregate roots; prefer FetchType.LAZY associations.
2. Define equals/hashCode on business keys — not database IDs for transient entities.
3. Use @NamedQuery, JPQL, or Criteria API; native SQL only when justified.
4. Tune fetch plans: @EntityGraph, join fetch, or DTO projections for read paths.
5. Enable query logging in dev; verify query count in tests for list endpoints.

Required Checks

• No EAGER collections on high-cardinality associations without explicit justification
• @Version optimistic locking on concurrent update entities
• Batch size (@BatchSize or hibernate.default_batch_fetch_size) for collection fetching
• Second-level cache only with explicit invalidation strategy

Examples And Templates

See examples/ for side-by-side good vs bad patterns agents commonly get wrong. See templates/ for copy-paste starters aligned with this skill.

Decision Framework

• Prefer Spring Data repositories for simple CRUD; drop to Hibernate API for complex queries.
• Use @SqlResultSetMapping or Blaze Persistence for heavy reporting queries.
• Prefer merge vs persist semantics consciously in service layer.
• Schema changes via Flyway/Liquibase — Hibernate ddl-auto=validate in production.

Common Rationalizations And Rebuttals

• "EAGER loading prevents LazyInitializationException." -> Fix session boundaries and fetch plans; EAGER causes cartesian product queries.
• "Hibernate generates schema in prod." -> Use migrations; ddl-auto validate only.
• "Lombok @Data on entities is fine." -> Breaks entity equality and can trigger unnecessary updates.

Evidence Pack

• Entity relationship diagram with fetch types annotated
• Query count assertion for critical list/read endpoints
• Migration scripts aligned with entity model
• N+1 fix evidence (before/after query logs)

Exit Criteria

• Entity model matches domain boundaries without session leaks
• List and detail queries meet performance budgets
• Production uses validated schema, not auto-ddl

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: vaquarkhan
• Source: vaquarkhan/Fullstack-development-agent-skills
• License: MIT

Install and usage instructions live in the source repository linked above.