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jpa-patterns — Claude Code skill: what it does, how to install

Provides JPA and Hibernate patterns for entity design, N+1 query prevention, and HikariCP pooling in Spring Boot. Helps write repositories and tune database performance.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add affaan-m/ECC --skill jpa-patterns -a claude-code
Open on GitHub

What jpa-patterns does

This skill teaches the coding agent how to model data with JPA and Hibernate in Spring Boot projects. It enforces lazy loading on relationships and recommends JOIN FETCH or DTO projections over eager fetching. Inside, you get patterns for entity auditing, table indexes, and Spring Data repository queries.

The skill covers transaction boundaries with @Transactional(readOnly = true), cursor pagination, and HikariCP pool properties. It also advises using Flyway or Liquibase instead of Hibernate DDL auto-generation in production. For tests, it suggests @DataJpaTest alongside Testcontainers and SQL trace logging.

Install it if you build Spring Boot services. It prevents common N+1 performance bugs. If your project uses plain SQL or a different persistence layer, skip it.

What it helps with

  • eliminate N+1 query issues using JOIN FETCH and DTO projections
  • set up entity auditing with @EntityListeners and @CreatedDate
  • configure HikariCP connection pooling parameters in Spring Boot
  • write cursor-based pagination and indexes for Spring Data repositories

Example prompts for the agent

  • Design a MarketEntity with a OneToMany relationship and table indexes
  • Fix the N+1 problem in this Spring Data JPA repository query
  • Configure HikariCP settings and enable SQL logging for DataJpaTest

How to install jpa-patterns

1Skills CLI (Vercel)

npx skills add affaan-m/ECC --skill jpa-patterns -a claude-code

2Manually: put the files in place

~/.claude/skills/jpa-patterns/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/jpa-patterns/

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Questions about jpa-patterns

How do I install jpa-patterns in Claude Code?

Run npx skills add affaan-m/ECC --skill jpa-patterns -a claude-code in your terminal or save the file at ~/.claude/skills/jpa-patterns/SKILL.md.

What does the jpa-patterns skill do?

It provides rules for designing JPA entities, configuring transactions, preventing N+1 queries, and tuning HikariCP connection pools in Spring Boot.

How does jpa-patterns recommend testing data access?

It suggests using @DataJpaTest with Testcontainers, setting logging.level.org.hibernate.SQL=DEBUG and logging.level.org.hibernate.orm.jdbc.bind=TRACE to inspect executed queries.

Source text

SKILL.md · MIT
---
name: jpa-patterns
description: JPA/Hibernate patterns for entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and pooling in Spring Boot. Use when designing JPA entities or relationships, or when a Hibernate query, transaction, or N+1 problem needs fixing.
metadata:
  origin: ECC
---

# 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

```java
@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:
```java
@Configuration
@EnableJpaAuditing
class JpaConfig {}
```

## Relationships and N+1 Prevention

```java
@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

```java
@Query("select m from MarketEntity m left join fetch m.positions where m.id = :id")
Optional<MarketEntity> findWithPositions(@Param("id") Long id);
```

## Repository Patterns

```java
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:
```java
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

```java
@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

```java
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.

© affaan-m · MIT · affaan-m/ECC

See also

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