spring-boot-data-ddd

Implements DDD tactical patterns with Spring Data JPA and Spring Data JDBC in Spring Boot 4.

Technology Selection

| Choose | When | |--------|------| | Spring Data JPA | Complex queries, existing Hibernate expertise, need lazy loading | | Spring Data JDBC | DDD-first design, simpler mapping, aggregate-per-table, no lazy loading |

Spring Data JDBC enforces aggregate boundaries naturally—recommended for new DDD projects.

Core Workflow

1. Define aggregate root → 2. Map value objects → 3. Create repository → 4. Implement service layer → 5. Add projections

See WORKFLOW.md for detailed step-by-step instructions with code examples.

Quick Patterns

See EXAMPLES.md for complete working examples including:

• Aggregate Root with AbstractAggregateRoot and domain events (Java + Kotlin)
• Repository with EntityGraph for N+1 prevention
• Transactional Service with proper boundaries
• Value Objects (Strongly-typed IDs, Money pattern)
• Projections for efficient read operations
• Auditing with automatic timestamps

Spring Boot 4 Specifics

• JSpecify null-safety: @NullMarked and @Nullable annotations
• AOT Repository Compilation: Enabled by default for faster startup
• Jakarta EE 11: All imports use jakarta.* namespace
• ListCrudRepository: New interface returning List<T> instead of Iterable<T>

ListCrudRepository (Spring Data 3.1+)

New repository interface returning List<T> for better API ergonomics:

// OLD: CrudRepository returns Iterable<T>
public interface UserRepository extends CrudRepository<User, Long> {
    Iterable<User> findAll();  // Requires conversion to List
}

// NEW: ListCrudRepository returns List<T>
public interface UserRepository extends ListCrudRepository<User, Long> {
    List<User> findAll();  // Direct List return
    List<User> findAllById(Iterable<Long> ids);  // Also List
}

// Can also extend both for full functionality
public interface UserRepository extends
    ListCrudRepository<User, Long>,
    ListPagingAndSortingRepository<User, Long> {
}

Benefits: No more StreamSupport.stream(iterable.spliterator(), false).toList() conversions.

Detailed References

• Workflow: See WORKFLOW.md for detailed step-by-step data layer implementation
• Examples: See EXAMPLES.md for complete working code examples
• Troubleshooting: See TROUBLESHOOTING.md for common issues and Boot 4 migration
• Aggregates & Entities: See references/AGGREGATES.md for complete patterns with value objects, typed IDs, auditing
• Repositories & Queries: See references/REPOSITORIES.md for custom queries, projections, specifications
• Transactions: See references/TRANSACTIONS.md for propagation, isolation, cross-aggregate consistency

Related Skills

| Need | Skill | |------|-------| | DDD concepts and design | domain-driven-design | | REST API for aggregates | spring-boot-web-api | | Module boundaries | spring-boot-modulith | | Repository testing | spring-boot-testing |

Anti-Pattern Checklist

| Anti-Pattern | Fix | |--------------|-----| | FetchType.EAGER on associations | Use LAZY + @EntityGraph when needed | | Returning entities from controllers | Convert to DTOs in service layer | | @Transactional on private methods | Use public methods (proxy limitation) | | Missing readOnly = true on queries | Add for read operations (performance) | | Direct aggregate-to-aggregate references | Reference by ID only | | Multiple aggregates in one transaction | Use domain events for eventual consistency |

Critical Reminders

1. One aggregate per transaction — Cross-aggregate changes via domain events
2. Repository per aggregate root — Never for child entities
3. Value objects are immutable — No setters, return new instances
4. Flush before events — Call repository.save() before events dispatch
5. Test with @DataJpaTest — Use TestEntityManager for setup