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feat(ecc): prune plugin 43→12 items, promote 7 rules to .claude/rules/ (#245)
ECC community plugin pruning: removed 530+ non-essential files (.cursor/, .opencode/, docs/ja-JP, docs/zh-CN, docs/zh-TW, language-specific skills/agents/rules). Retained 4 agents, 3 commands, 5 skills. Promoted 13 rule files (8 common + 5 typescript) to .claude/rules/ for CC native loading. Extracted reusable patterns to EXTRACTED-PATTERNS.md.
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---
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name: jpa-patterns
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description: JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot.
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---
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# JPA/Hibernate Patterns
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Use for data modeling, repositories, and performance tuning in Spring Boot.
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## When to Activate
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- Designing JPA entities and table mappings
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- Defining relationships (@OneToMany, @ManyToOne, @ManyToMany)
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- Optimizing queries (N+1 prevention, fetch strategies, projections)
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- Configuring transactions, auditing, or soft deletes
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- Setting up pagination, sorting, or custom repository methods
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- Tuning connection pooling (HikariCP) or second-level caching
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## Entity Design
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```java
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@Entity
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@Table(name = "markets", indexes = {
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@Index(name = "idx_markets_slug", columnList = "slug", unique = true)
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})
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@EntityListeners(AuditingEntityListener.class)
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public class MarketEntity {
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@Id @GeneratedValue(strategy = GenerationType.IDENTITY)
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private Long id;
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@Column(nullable = false, length = 200)
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private String name;
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@Column(nullable = false, unique = true, length = 120)
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private String slug;
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@Enumerated(EnumType.STRING)
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private MarketStatus status = MarketStatus.ACTIVE;
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@CreatedDate private Instant createdAt;
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@LastModifiedDate private Instant updatedAt;
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}
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```
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Enable auditing:
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```java
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@Configuration
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@EnableJpaAuditing
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class JpaConfig {}
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```
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## Relationships and N+1 Prevention
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```java
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@OneToMany(mappedBy = "market", cascade = CascadeType.ALL, orphanRemoval = true)
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private List<PositionEntity> positions = new ArrayList<>();
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```
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- Default to lazy loading; use `JOIN FETCH` in queries when needed
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- Avoid `EAGER` on collections; use DTO projections for read paths
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```java
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@Query("select m from MarketEntity m left join fetch m.positions where m.id = :id")
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Optional<MarketEntity> findWithPositions(@Param("id") Long id);
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```
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## Repository Patterns
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```java
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public interface MarketRepository extends JpaRepository<MarketEntity, Long> {
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Optional<MarketEntity> findBySlug(String slug);
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@Query("select m from MarketEntity m where m.status = :status")
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Page<MarketEntity> findByStatus(@Param("status") MarketStatus status, Pageable pageable);
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}
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```
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- Use projections for lightweight queries:
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```java
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public interface MarketSummary {
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Long getId();
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String getName();
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MarketStatus getStatus();
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}
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Page<MarketSummary> findAllBy(Pageable pageable);
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```
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## Transactions
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- Annotate service methods with `@Transactional`
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- Use `@Transactional(readOnly = true)` for read paths to optimize
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- Choose propagation carefully; avoid long-running transactions
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```java
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@Transactional
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public Market updateStatus(Long id, MarketStatus status) {
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MarketEntity entity = repo.findById(id)
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.orElseThrow(() -> new EntityNotFoundException("Market"));
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entity.setStatus(status);
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return Market.from(entity);
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}
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```
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## Pagination
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```java
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PageRequest page = PageRequest.of(pageNumber, pageSize, Sort.by("createdAt").descending());
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Page<MarketEntity> markets = repo.findByStatus(MarketStatus.ACTIVE, page);
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```
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For cursor-like pagination, include `id > :lastId` in JPQL with ordering.
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## Indexing and Performance
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- Add indexes for common filters (`status`, `slug`, foreign keys)
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- Use composite indexes matching query patterns (`status, created_at`)
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- Avoid `select *`; project only needed columns
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- Batch writes with `saveAll` and `hibernate.jdbc.batch_size`
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## Connection Pooling (HikariCP)
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Recommended properties:
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```
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spring.datasource.hikari.maximum-pool-size=20
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spring.datasource.hikari.minimum-idle=5
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spring.datasource.hikari.connection-timeout=30000
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spring.datasource.hikari.validation-timeout=5000
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```
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For PostgreSQL LOB handling, add:
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```
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spring.jpa.properties.hibernate.jdbc.lob.non_contextual_creation=true
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```
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## Caching
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- 1st-level cache is per EntityManager; avoid keeping entities across transactions
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- For read-heavy entities, consider second-level cache cautiously; validate eviction strategy
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## Migrations
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- Use Flyway or Liquibase; never rely on Hibernate auto DDL in production
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- Keep migrations idempotent and additive; avoid dropping columns without plan
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## Testing Data Access
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- Prefer `@DataJpaTest` with Testcontainers to mirror production
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- Assert SQL efficiency using logs: set `logging.level.org.hibernate.SQL=DEBUG` and `logging.level.org.hibernate.orm.jdbc.bind=TRACE` for parameter values
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**Remember**: Keep entities lean, queries intentional, and transactions short. Prevent N+1 with fetch strategies and projections, and index for your read/write paths.
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