jpa-patterns
affaan-m/everything-claude-code
JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
...Expand allAbout jpa-patterns
jpa-patterns is a reusable AI skill focused on a specific workflow. description: JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
The skill packages instructions, conventions, and task-specific guidance so an agent can execute the job more consistently. Use for data modeling, repositories, and performance tuning in Spring Boot. - Designing JPA entities and table mappings - Defining relationships (@OneToMany, @ManyToOne, @ManyToMany)
In practice, this skill is best suited for users who need repeatable execution with fewer setup steps and less ambiguity. - Optimizing queries (N+1 prevention, fetch strategies, projections) - Configuring transactions, auditing, or soft deletes - Setting up pagination, sorting, or custom repository methods - Tuning connection pooling (HikariCP) or second-level caching
FAQ
What does jpa-patterns help with?
jpa-patterns helps agents follow a focused workflow described in the source documentation, reducing ambiguity and keeping execution aligned with the intended task.
When should this skill be used?
Use it when the task matches the workflow, domain, or operating rules described in the skill documentation, especially when consistent execution matters.
What are the main limitations?
The skill is constrained by the quality and scope of its source instructions. If the underlying documentation is incomplete, the agent may still need extra context or manual validation.
JPA/Hibernate Patterns
Use for data modeling, repositories, and performance tuning in Spring Boot.
When to Activate
- Designing JPA entities and table mappings
- Defining relationships (@OneToMany, @ManyToOne, @ManyToMany)
- Optimizing queries (N+1 prevention, fetch strategies, projections)
- Configuring transactions, auditing, or soft deletes
- Setting up pagination, sorting, or custom repository methods
- Tuning connection pooling (HikariCP) or second-level caching
Entity Design
@Entity@Table(name = "markets", indexes = { @Index(name = "idx_markets_slug", columnList = "slug", unique = true)})@EntityListeners(AuditingEntityListener.class)public class MarketEntity { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; @Column(nullable = false, length = 200) private String name; @Column(nullable = false, unique = true, length = 120) private String slug; @Enumerated(EnumType.STRING) private MarketStatus status = MarketStatus.ACTIVE; @CreatedDate private Instant createdAt; @LastModifiedDate private Instant updatedAt;}
Enable auditing:
@Configuration@EnableJpaAuditingclass JpaConfig {}
Relationships and N+1 Prevention
@OneToMany(mappedBy = "market", cascade = CascadeType.ALL, orphanRemoval = true)private List<PositionEntity> positions = new ArrayList<>();
- Default to lazy loading; use
JOIN FETCHin queries when needed - Avoid
EAGERon collections; use DTO projections for read paths
@Query("select m from MarketEntity m left join fetch m.positions where m.id = :id")Optional<MarketEntity> findWithPositions(@Param("id") Long id);
Repository Patterns
public interface MarketRepository extends JpaRepository<MarketEntity, Long> { Optional<MarketEntity> findBySlug(String slug); @Query("select m from MarketEntity m where m.status = :status") Page<MarketEntity> findByStatus(@Param("status") MarketStatus status, Pageable pageable);}
- Use projections for lightweight queries:
public interface MarketSummary { Long getId(); String getName(); MarketStatus getStatus();}Page<MarketSummary> findAllBy(Pageable pageable);
Transactions
- Annotate service methods with
@Transactional - Use
@Transactional(readOnly = true)for read paths to optimize - Choose propagation carefully; avoid long-running transactions
@Transactionalpublic Market updateStatus(Long id, MarketStatus status) { MarketEntity entity = repo.findById(id) .orElseThrow(() -> new EntityNotFoundException("Market")); entity.setStatus(status); return Market.from(entity);}
Pagination
PageRequest page = PageRequest.of(pageNumber, pageSize, Sort.by("createdAt").descending());Page<MarketEntity> markets = repo.findByStatus(MarketStatus.ACTIVE, page);
For cursor-like pagination, include id > :lastId in JPQL with ordering.
Indexing and Performance
- Add indexes for common filters (
status,slug, foreign keys) - Use composite indexes matching query patterns (
status, created_at) - Avoid
select *; project only needed columns - Batch writes with
saveAllandhibernate.jdbc.batch_size
Connection Pooling (HikariCP)
Recommended properties:
spring.datasource.hikari.maximum-pool-size=20spring.datasource.hikari.minimum-idle=5spring.datasource.hikari.connection-timeout=30000spring.datasource.hikari.validation-timeout=5000For PostgreSQL LOB handling, add:
spring.jpa.properties.hibernate.jdbc.lob.non_contextual_creation=trueCaching
- 1st-level cache is per EntityManager; avoid keeping entities across transactions
- For read-heavy entities, consider second-level cache cautiously; validate eviction strategy
Migrations
- Use Flyway or Liquibase; never rely on Hibernate auto DDL in production
- Keep migrations idempotent and additive; avoid dropping columns without plan
Testing Data Access
- Prefer
@DataJpaTestwith Testcontainers to mirror production - Assert SQL efficiency using logs: set
logging.level.org.hibernate.SQL=DEBUGandlogging.level.org.hibernate.orm.jdbc.bind=TRACEfor parameter values
Remember: Keep entities lean, queries intentional, and transactions short. Prevent N+1 with fetch strategies and projections, and index for your read/write paths.
Install jpa-patterns
Download and extract the skill files to your .claude/skills/ directory.
Download ZIPClone the repository and copy the skill files to your project.
git clone https://github.com/affaan-m/ECC/blob/main/skills/jpa-patterns/SKILL.md # Copy SKILL.md to your .claude/skills/ directory
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