Java JPA Hibernate Skill

Master data persistence with JPA and Hibernate for production applications.

Overview

This skill covers JPA entity design, Hibernate optimization, Spring Data repositories, query strategies, and caching. Focuses on preventing N+1 queries and building high-performance persistence layers.

When to Use This Skill

Use when you need to:

• Design JPA entities with relationships
• Optimize database queries
• Configure Hibernate for performance
• Implement caching strategies
• Debug persistence issues

Topics Covered

Entity Design

• Entity mapping annotations
• Relationship types (1:1, 1:N, N:M)
• Inheritance strategies
• Lifecycle callbacks
• Auditing

Query Optimization

• N+1 problem prevention
• JOIN FETCH vs EntityGraph
• Batch fetching
• Projections and DTOs

Transactions

• @Transactional configuration
• Propagation and isolation
• Optimistic vs pessimistic locking
• Deadlock prevention

Caching

• First and second level cache
• Query cache
• Cache invalidation
• Redis integration

Quick Reference

// Entity with relationships
@Entity
@Table(name = "orders")
public class Order {

    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    @ManyToOne(fetch = FetchType.LAZY)
    @JoinColumn(name = "customer_id", nullable = false)
    private Customer customer;

    @OneToMany(mappedBy = "order", cascade = CascadeType.ALL, orphanRemoval = true)
    @BatchSize(size = 20)
    private List<OrderItem> items = new ArrayList<>();

    @Version
    private Long version;

    // Bidirectional helper
    public void addItem(OrderItem item) {
        items.add(item);
        item.setOrder(this);
    }
}

// Auditing base class
@MappedSuperclass
@EntityListeners(AuditingEntityListener.class)
public abstract class Auditable {
    @CreatedDate
    @Column(updatable = false)
    private Instant createdAt;

    @LastModifiedDate
    private Instant updatedAt;
}

// Repository with query optimization
public interface OrderRepository extends JpaRepository<Order, Long> {

    // JOIN FETCH to prevent N+1
    @Query("SELECT DISTINCT o FROM Order o JOIN FETCH o.items WHERE o.status = :status")
    List<Order> findByStatusWithItems(@Param("status") Status status);

    // EntityGraph alternative
    @EntityGraph(attributePaths = {"items", "customer"})
    Optional<Order> findById(Long id);

    // DTO Projection
    @Query("SELECT new com.example.OrderSummary(o.id, o.status, c.name) " +
           "FROM Order o JOIN o.customer c WHERE o.id = :id")
    Optional<OrderSummary> findSummaryById(@Param("id") Long id);
}

N+1 Prevention Strategies

Hibernate Configuration

spring:
  jpa:
    open-in-view: false  # Critical!
    properties:
      hibernate:
        jdbc.batch_size: 50
        order_inserts: true
        order_updates: true
        default_batch_fetch_size: 20
        generate_statistics: ${HIBERNATE_STATS:false}

  datasource:
    hikari:
      maximum-pool-size: 20
      minimum-idle: 5
      leak-detection-threshold: 60000

Troubleshooting

Common Issues

Debug Properties

spring.jpa.show-sql=true
logging.level.org.hibernate.SQL=DEBUG
logging.level.org.hibernate.orm.jdbc.bind=TRACE
hibernate.generate_statistics=true

Debug Checklist

□ Enable SQL logging
□ Check query count per request
□ Verify fetch strategies
□ Review @Transactional
□ Check connection pool

Usage

Skill("java-jpa-hibernate")

Related Skills

• java-performance - Query optimization
• java-spring-boot - Spring Data