Spring Data JPA

VerifiedSafe

Provides patterns for Spring Data JPA repositories, entity relationships, queries, pagination, auditing, and transactions.

Sby Skills Guide Bot
DevelopmentIntermediate
7/24/2026
Claude CodeCursorWindsurfCopilotCodex
#spring-data-jpa#java#persistence#orm#database

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Automated summary

This skill provides patterns for building a persistence layer with Spring Data JPA: repositories, entity relationships, derived and @Query queries, pagination, auditing, and transactions.

Strengths

  • Covers the full workflow: creating repositories, mapping entities, writing queries, pagination, auditing, and transaction management.
  • Supplies directly reusable Java snippets (JpaRepository, findBy..., @Query with @Param, @CreatedDate).
  • Includes concrete validation steps: test cascades on a small dataset, check queries with EXPLAIN ANALYZE, index the columns used by pagination.
  • Touches advanced topics such as UUID primary keys, multiple databases, and avoiding N+1 queries with @EntityGraph.

Limitations

  • Content stays at the code-snippet level: multiple-database setup is mentioned but not detailed.
  • Does not cover schema migrations (Flyway/Liquibase) or integration testing strategies.
  • Assumes an existing Spring Boot/JPA project and does not address reactive stacks (R2DBC).
When to use it

Use it when creating or refactoring JPA repositories, entities, and queries in a Spring Boot project, or when fixing pagination, auditing, and transaction issues.

When not to use it

Avoid it for non-JVM projects, reactive persistence, or when the need is schema migration management rather than persistence code.

Security analysis

Safe
Quality score80/100

This is a pure documentation/pattern skill for Spring Data JPA. Bash is declared but only referenced for benign developer diagnostics (EXPLAIN ANALYZE); there are no installers, curl|sh, file exfiltration, credential access, obfuscated payloads, or destructive commands. Write/Edit are used only for generating Java source, which is expected for a coding skill.

No concerns found

How this analysis is made

Examples

Paginated repository
Create a Spring Data JPA repository for my Product entity with a derived query by category, a @Query for products above a given price, and a service method that returns a Page sorted by name.
Auditing and UUID keys
Add JPA auditing with @CreatedDate and @LastModifiedDate to my Order entity and switch its primary key from Long to UUID.
Fix an N+1 query
Listing orders triggers N+1 queries on the Order -> OrderItem @OneToMany relationship. Show me how to fix it with @EntityGraph and how to verify the improvement with EXPLAIN ANALYZE.

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:

  1. Extend the appropriate repository interface:

    @Repository
    public interface UserRepository extends JpaRepository<User, Long> {
        // Custom methods defined here
    }
    
  2. Use derived queries for simple conditions:

    Optional<User> findByEmail(String email);
    List<User> findByStatusOrderByCreatedDateDesc(String status);
    
  3. Implement custom queries with @Query:

    @Query("SELECT u FROM User u WHERE u.status = :status")
    List<User> findActiveUsers(@Param("status") String status);
    

Configure Entities

  1. 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;
    }
    
  2. 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.

  3. Set up database auditing:

    @CreatedDate
    @Column(nullable = false, updatable = false)
    private LocalDateTime createdDate;
    

Apply Query Patterns

  1. Use derived queries for simple conditions
  2. Use @Query for complex queries
  3. Return Optional<T> for single results
  4. Use Pageable for pagination
  5. Apply @Modifying for update/delete operations

Manage Transactions

  1. Mark read-only operations with @Transactional(readOnly = true)
  2. Use explicit transaction boundaries for modifying operations
  3. 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 ANALYZE on queries against large tables
  • If performance issues detected: add indexes → verify with EXPLAIN → repeat
  • Use @EntityGraph to 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 final modifiers
  • Use Java records (16+) or @Value for DTOs
  • Always provide proper @Id and @GeneratedValue annotations
  • Use explicit @Table and @Column annotations

Performance Optimization

  • Use appropriate fetch strategies (LAZY vs EAGER)
  • Implement pagination for large datasets
  • Use database indexes for frequently queried fields
  • Consider using @EntityGraph to 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 @EntityGraph or JOIN FETCH in queries.
  • Be cautious with CascadeType.REMOVE on large collections as it can cause performance issues.
  • Do not use EAGER fetch 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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Tools declared by the author (check availability in your agent): Read, Write, Edit, Bash, Glob, Grep

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Claude Code
test -f '.skill-downloads/spring-data-jpa-mryiqi87/SKILL.md' && test -s '.skill-downloads/spring-data-jpa-mryiqi87/SKILL.md' && mkdir -p '.claude/skills' && test ! -e '.claude/skills/spring-data-jpa' && cp -R '.skill-downloads/spring-data-jpa-mryiqi87' '.claude/skills/spring-data-jpa'

Cursor
test -f '.skill-downloads/spring-data-jpa-mryiqi87/SKILL.md' && test -s '.skill-downloads/spring-data-jpa-mryiqi87/SKILL.md' && mkdir -p '.cursor/skills' && test ! -e '.cursor/skills/spring-data-jpa' && cp -R '.skill-downloads/spring-data-jpa-mryiqi87' '.cursor/skills/spring-data-jpa'

Codex
test -f '.skill-downloads/spring-data-jpa-mryiqi87/SKILL.md' && test -s '.skill-downloads/spring-data-jpa-mryiqi87/SKILL.md' && mkdir -p '.agents/skills' && test ! -e '.agents/skills/spring-data-jpa' && cp -R '.skill-downloads/spring-data-jpa-mryiqi87' '.agents/skills/spring-data-jpa'

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