docs/tr/skills/jpa-patterns/SKILL.md
Spring Boot'ta entity tasarımı, ilişkiler, sorgu optimizasyonu, transaction'lar, auditing, indeksleme, sayfalama ve pooling için JPA/Hibernate kalıpları.
npx skillsauth add affaan-m/everything-claude-code jpa-patternsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Spring Boot'ta veri modelleme, repository'ler ve performans ayarlaması için kullanın.
@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;
}
Auditing'i etkinleştir:
@Configuration
@EnableJpaAuditing
class JpaConfig {}
@OneToMany(mappedBy = "market", cascade = CascadeType.ALL, orphanRemoval = true)
private List<PositionEntity> positions = new ArrayList<>();
JOIN FETCH kullanEAGER kullanmaktan kaçın; okuma yolları için DTO projections kullan@Query("select m from MarketEntity m left join fetch m.positions where m.id = :id")
Optional<MarketEntity> findWithPositions(@Param("id") Long id);
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);
}
public interface MarketSummary {
Long getId();
String getName();
MarketStatus getStatus();
}
Page<MarketSummary> findAllBy(Pageable pageable);
@Transactional ile işaretle@Transactional(readOnly = true) kullan@Transactional
public Market updateStatus(Long id, MarketStatus status) {
MarketEntity entity = repo.findById(id)
.orElseThrow(() -> new EntityNotFoundException("Market"));
entity.setStatus(status);
return Market.from(entity);
}
PageRequest page = PageRequest.of(pageNumber, pageSize, Sort.by("createdAt").descending());
Page<MarketEntity> markets = repo.findByStatus(MarketStatus.ACTIVE, page);
Cursor benzeri sayfalama için, sıralama ile birlikte JPQL'de id > :lastId ekle.
status, slug, foreign key'ler)status, created_at)select * kullanmaktan kaçın; sadece gerekli sütunları project etsaveAll ve hibernate.jdbc.batch_size ile yazmaları batch'leÖnerilen özellikler:
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
PostgreSQL LOB işleme için ekle:
spring.jpa.properties.hibernate.jdbc.lob.non_contextual_creation=true
@DataJpaTest tercih etlogging.level.org.hibernate.SQL=DEBUG ve logging.level.org.hibernate.orm.jdbc.bind=TRACE ayarlaHatırla: Entity'leri yalın, sorguları kasıtlı ve transaction'ları kısa tut. Fetch stratejileri ve projections ile N+1'i önle, ve okuma/yazma yolların için indeksle.
development
Share durable, inspectable context and handoffs between Claude, Codex, Hermes, Cursor, OpenCode, and other agents through the local ECC Memory Vault. Use when an agent must save work state, transfer context, resume another agent's task, or search shared project knowledge.
development
Use when multiple consumers and providers must evolve an API or event schema without field drift, integration surprises, or one side silently redefining the interface.
tools
Query live GPU inventory, submit an authenticated Itô fixed-rate RFQ, inspect RFQ or procurement status, and run explicitly gated node qualification through the separately installed canonical CLI. Use when a user asks to find H100/H200 capacity, request a fixed compute rate, check Itô compute status, or validate GPU nodes.
data-ai
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.