spring-data-jpa
giuseppe-trisciuoglio/developer-kit
Spring Data JPA patterns for repositories, entities, queries, pagination, auditing, and transactions.
What is spring-data-jpa?
Provides patterns to implement persistence layers with Spring Data JPA. Use when creating repositories, configuring entity relationships, writing queries (derived and @Query), setting up pagination, database auditing, transactions, UUID primary keys, multiple databases, and database indexing.
- Create repository interfaces extending JpaRepository with CRUD operations
- Define derived queries and custom @Query annotations for flexible data retrieval
- Configure entity relationships with proper cascade types and bidirectional mapping
- Implement pagination and sorting using Pageable and PageRequest
- Set up database auditing with @CreatedDate, @LastModifiedDate, and @CreatedBy annotations
- Manage transactions with @Transactional and optimize query performance with @EntityGraph
How to install spring-data-jpa
npx skills add https://github.com/giuseppe-trisciuoglio/developer-kit --skill spring-data-jpa- Spring Framework and Spring Data JPA dependencies configured
- JPA/Hibernate ORM setup in Spring application
- Relational database (PostgreSQL, MySQL, etc.) configured and accessible
- Understanding of Java entities, annotations, and Spring component model
How to use spring-data-jpa
- 1.Define entity classes with @Entity, @Table, @Id, and @Column annotations
- 2.Create repository interfaces extending JpaRepository<Entity, ID>
- 3.Implement derived query methods or add @Query annotations for custom queries
- 4.Configure relationships using @OneToMany, @ManyToOne with appropriate cascade types
- 5.Enable auditing with @EntityListeners(AuditingEntityListener.class) and audit field annotations
- 6.Use Pageable in repository methods and service layer for pagination
- 7.Mark read-only operations with @Transactional(readOnly = true)
- 8.Test cascade behavior and validate bidirectional relationships before production
Use cases
- Building a product catalog with pagination and category filtering
- Implementing user management with audit trails tracking creation and modification
- Creating order processing with cascading deletes and relationship management
- Querying large datasets efficiently with proper indexing and N+1 prevention
- Setting up multi-tenant applications with UUID primary keys and transaction boundaries
- Backend developers building Spring applications with relational databases
- Java engineers implementing data access layers and persistence logic
- Teams requiring audit trails and transaction management for data integrity
- Developers optimizing database performance with proper indexing and query strategies
spring-data-jpa FAQ
Use derived queries for simple conditions (findByEmail, findByStatus). Use @Query for complex queries with multiple conditions, joins, or custom logic that derived query naming becomes unwieldy.
Use @EntityGraph to specify which relationships to eagerly load, or use JOIN FETCH in @Query annotations. Avoid EAGER fetch type for collections as it causes excessive queries.
Use CascadeType.ALL with orphanRemoval = true for parent-child relationships where children should be deleted with parent. Test cascade behavior with small datasets before production. Avoid CascadeType.REMOVE on large collections due to performance impact.
No. Always use DTOs (Data Transfer Objects) to prevent lazy loading issues, control API contracts, and avoid exposing internal persistence details.
Ensure indexed columns support pagination queries, use PageRequest with proper sorting on indexed fields, and test with large datasets to verify cursor stability and avoid full table scans.
Full instructions (SKILL.md)
Source of truth, from giuseppe-trisciuoglio/developer-kit.
name: spring-data-jpa
description: Provides patterns to implement persistence layers with Spring Data JPA. Use when creating repositories, configuring entity relationships, writing queries (derived and @Query), setting up pagination, database auditing, transactions, UUID primary keys, multiple databases, and database indexing.
allowed-tools: Read, Write, Edit, Bash, Glob, Grep
Spring Data JPA
Overview
Provides patterns for Spring Data JPA repositories, entity relationships, queries, pagination, auditing, and transactions.
When to Use
Creating repositories with CRUD operations, entity relationships, @Query annotations, pagination, auditing, or UUID primary keys.
Instructions
Create Repository Interfaces
To implement a repository interface:
-
Extend the appropriate repository interface:
@Repository public interface UserRepository extends JpaRepository<User, Long> { // Custom methods defined here } -
Use derived queries for simple conditions:
Optional<User> findByEmail(String email); List<User> findByStatusOrderByCreatedDateDesc(String status); -
Implement custom queries with
@Query:@Query("SELECT u FROM User u WHERE u.status = :status") List<User> findActiveUsers(@Param("status") String status);
Configure Entities
-
Define entities with proper annotations:
@Entity @Table(name = "users") public class User { @Id @GeneratedValue(strategy = GenerationType.IDENTITY) private Long id; @Column(nullable = false, length = 100) private String email; } -
Configure relationships using appropriate cascade types:
@OneToMany(mappedBy = "user", cascade = CascadeType.ALL, orphanRemoval = true) private List<Order> orders = new ArrayList<>();Validation: Test cascade behavior with a small dataset before applying to production data. Verify delete operations don't cascade unexpectedly.
-
Set up database auditing:
@CreatedDate @Column(nullable = false, updatable = false) private LocalDateTime createdDate;
Apply Query Patterns
- Use derived queries for simple conditions
- Use
@Query for complex queries - Return Optional<T> for single results
- Use Pageable for pagination
- Apply
@Modifying for update/delete operations
Manage Transactions
- Mark read-only operations with
@Transactional(readOnly = true) - Use explicit transaction boundaries for modifying operations
- Specify rollback conditions when needed
Validate and Optimize
1. Verify entity configuration:
- Test cascade behavior in a transaction before production deployment
- Validate bidirectional relationships sync correctly
2. Optimize query performance:
- Run
EXPLAIN ANALYZEon queries against large tables - If performance issues detected: add indexes → verify with EXPLAIN → repeat
- Use
@EntityGraphto prevent N+1 queries
3. Validate pagination:
- Ensure indexed columns support pagination queries
- Test with large datasets to verify cursor stability
Examples
Basic CRUD Repository
@Repository
public interface ProductRepository extends JpaRepository<Product, Long> {
// Derived query
List<Product> findByCategory(String category);
// Custom query
@Query("SELECT p FROM Product p WHERE p.price > :minPrice")
List<Product> findExpensiveProducts(@Param("minPrice") BigDecimal minPrice);
}
Pagination Implementation
@Service
public class ProductService {
private final ProductRepository repository;
public Page<Product> getProducts(int page, int size) {
Pageable pageable = PageRequest.of(page, size, Sort.by("name").ascending());
return repository.findAll(pageable);
}
}
Entity with Auditing
@Entity
@EntityListeners(AuditingEntityListener.class)
public class Order {
@Id
@GeneratedValue(strategy = GenerationType.IDENTITY)
private Long id;
@CreatedDate
@Column(nullable = false, updatable = false)
private LocalDateTime createdDate;
@LastModifiedDate
private LocalDateTime lastModifiedDate;
@CreatedBy
@Column(nullable = false, updatable = false)
private String createdBy;
}
Best Practices
Entity Design
- Use constructor injection exclusively (never field injection)
- Prefer immutable fields with
finalmodifiers - Use Java records (16+) or
@Valuefor DTOs - Always provide proper
@Idand@GeneratedValueannotations - Use explicit
@Tableand@Columnannotations
Performance Optimization
- Use appropriate fetch strategies (LAZY vs EAGER)
- Implement pagination for large datasets
- Use database indexes for frequently queried fields
- Consider using
@EntityGraphto avoid N+1 query problems
Reference Documentation
For comprehensive examples, detailed patterns, and advanced configurations, see:
- Examples - Complete code examples for common scenarios
- Reference - Detailed patterns and advanced configurations
Constraints and Warnings
- Never expose JPA entities directly in REST APIs; always use DTOs to prevent lazy loading issues.
- Avoid N+1 query problems by using
@EntityGraphorJOIN FETCHin queries. - Be cautious with
CascadeType.REMOVEon large collections as it can cause performance issues. - Do not use
EAGERfetch type for collections; it can cause excessive database queries. - Avoid long-running transactions as they can cause database lock contention.
- Use
@Transactional(readOnly = true)for read operations to enable optimizations. - Be aware of the first-level cache; entities may not reflect database changes within the same transaction.
- UUID primary keys can cause index fragmentation; consider using sequential UUIDs or Long IDs.
- Pagination on large datasets requires proper indexing to avoid full table scans.
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