본문으로 건너뛰기
cccskills
무료GitHub에 공개

jpa-patterns

JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

설치 방법 보기

포함된 파일(1)

  • SKILL.md4.4 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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
@EnableJpaAuditing
class 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 FETCH in queries when needed
  • Avoid EAGER on 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
@Transactional
public 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 saveAll and hibernate.jdbc.batch_size

Connection Pooling (HikariCP)

Recommended properties:

spring.datasource.hikari.maximum-pool-size=20
spring.datasource.hikari.minimum-idle=5
spring.datasource.hikari.connection-timeout=30000
spring.datasource.hikari.validation-timeout=5000

For PostgreSQL LOB handling, add:

spring.jpa.properties.hibernate.jdbc.lob.non_contextual_creation=true

Caching

  • 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 @DataJpaTest with Testcontainers to mirror production
  • Assert SQL efficiency using logs: set logging.level.org.hibernate.SQL=DEBUG and logging.level.org.hibernate.orm.jdbc.bind=TRACE for 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.

리뷰

아직 리뷰가 없습니다. 사용해 본 소감을 남겨 주세요.

댓글

로그인 없이 쓸 수 있습니다. 사용 후기, 질문, 작동하지 않은 환경 등을 편하게 남겨 주세요.

아직 댓글이 없습니다. 첫 댓글을 남겨 보세요.

보내면 바로 공개됩니다. 이메일 주소나 전화번호 같은 개인 정보는 쓰지 마세요. URL은 2개까지입니다.

0 / 1,000자

이 양식은 reCAPTCHA로 보호되며 Google 개인정보처리방침 및 서비스 약관이 적용됩니다.

같은 저장소의 스킬

When the user wants to plan, design, or implement an A/B test or experiment. Also use when the user mentions "A/B test," "split test," "experiment," "test this change," "variant copy," "multivariate test," or "hypothesis." For tracking implementation, see analytics-tracking.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ComeOnOliver/skillshub642026년 6월 24일 업데이트

Audit and improve web accessibility following WCAG 2.1 guidelines. Use when asked to "improve accessibility", "a11y audit", "WCAG compliance", "screen reader support", "keyboard navigation", or "make accessible".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ComeOnOliver/skillshub642026년 6월 24일 업데이트

Audit and improve web accessibility following WCAG 2.2 guidelines. Use when asked to "improve accessibility", "a11y audit", "WCAG compliance", "screen reader support", "keyboard navigation", or "make accessible".

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ComeOnOliver/skillshub642026년 6월 24일 업데이트

This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ComeOnOliver/skillshub642026년 6월 24일 업데이트

Head-to-head comparison of coding agents (Claude Code, Aider, Codex, etc.) on custom tasks with pass rate, cost, time, and consistency metrics

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ComeOnOliver/skillshub642026년 6월 24일 업데이트

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.

한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.

ComeOnOliver/skillshub642026년 6월 24일 업데이트

ComeOnOliver의 스킬 모두 보기

이 스킬의 문제 신고