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intermediatePhase ·

Repository

Understand the repository layer that handles database access.

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Repository Layer

The repository layer handles all database operations. Spring Data JPA makes this incredibly simple.

Repository Interface

@Repository
public interface ProductRepository extends JpaRepository<Product, Long> {
    // Spring Data JPA auto-implements these methods:
    // save(), findById(), findAll(), deleteById(), count(), existsById()
}

Just by extending JpaRepository, you get all CRUD operations for free.

Custom Query Methods

Spring Data JPA derives queries from method names:

@Repository
public interface ProductRepository extends JpaRepository<Product, Long> {

    Optional<Product> findByName(String name);
    List<Product> findByCategoryId(Long categoryId);
    List<Product> findByPriceBetween(BigDecimal min, BigDecimal max);
    List<Product> findByNameContainingIgnoreCase(String keyword);
}

JPQL Queries

For complex queries, use @Query with JPQL:

@Repository
public interface ProductRepository extends JpaRepository<Product, Long> {

    @Query("SELECT p FROM Product p WHERE p.category.name = :categoryName AND p.price < :maxPrice")
    List<Product> findByCategoryAndMaxPrice(@Param("categoryName") String categoryName,
                                            @Param("maxPrice") BigDecimal maxPrice);
}

Best Practices

Key Principles

  1. Follow SOLID principles
  2. Write clean, readable code
  3. Test thoroughly
  4. Document decisions
  5. Monitor in production

Implementation

  • Start simple, refactor as needed
  • Use established patterns
  • Consider trade-offs
  • Review with peers

Continuous Improvement

  • Learn from incidents
  • Update documentation
  • Share knowledge
  • Mentor others

Key Points

  • Understanding Repository is essential for production systems
  • Always consider scalability and maintainability
  • Test thoroughly before deploying to production
  • Monitor performance and set up alerting

Common Patterns

  1. Validation: Always validate input at the boundary
  2. Error Handling: Use structured error responses
  3. Logging: Log key events for debugging
  4. Testing: Unit, integration, and load tests
  5. Documentation: Keep docs updated with code changes

Practice Problems

0/3solved
Implement Repository

Design and implement a solution for Repository in a backend system. Consider scalability, error handling, and production readiness.

Solution
// Repository implementation
// Key aspects: validation, error handling, logging, testing

public class Repository {
    // Production-ready implementation
}
Repository Edge Cases

Identify and handle edge cases for Repository. What happens under high load, with invalid input, or during failures?

Solution
// Edge case handling:
// 1. Null/empty input -> validation
// 2. High load -> rate limiting, queuing
// 3. Failures -> retries, circuit breaker
// 4. Concurrent access -> locks, idempotency
Repository Testing Strategy

Write a testing strategy for Repository. Include unit tests, integration tests, and performance tests.

Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injection

Quiz

1. What does extending JpaRepository give you?

Question 1 options

2. How does Spring Data JPA derive queries from method names?

Question 2 options

3. What is the primary purpose of Repository?

Question 3 options

4. What is a common mistake when implementing Repository?

Question 4 options

Flashcards

Question

What does JpaRepository provide?

Answer

All CRUD operations, pagination, and sorting for free

Question

What is JPQL?

Answer

Java Persistence Query Language — uses entity/field names instead of table/column names

Question

What is Repository?

Answer

Repository is a key concept in backend development.

Question

When to use Repository?

Answer

Use Repository when building production systems that require reliability, scalability, and maintainability.

Question

Repository best practices

Answer

Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.

Revision Notes

Key Takeaways

  • 1.Extend JpaRepository to get all CRUD operations, pagination, and sorting for free
  • 2.Spring Data JPA derives queries from method names (findBy, findByNameContainingIgnoreCase)
  • 3.Use @Query annotation with JPQL for complex queries (entity/field names, not table/column)
  • 4.Native SQL queries use nativeQuery = true parameter
  • 5.Repository methods return Optional for single results, List for multiple results

Interview Tips

  • Explain how Spring Data JPA derives queries from method names
  • Know the difference between JPQL and native SQL queries
  • Discuss when to use custom repository implementations vs standard methods

Cheat Sheet

Repository Layer

  • Extend JpaRepository<Entity, ID> for CRUD operations
  • Auto-generated methods: save, findById, findAll, deleteById, count
  • Query derivation: findByName, findByPriceBetween, findByNameContainingIgnoreCase
  • @Query("SELECT p FROM Product p WHERE ...") for JPQL
  • @Query(value = "SELECT * FROM ...", nativeQuery = true) for native SQL
  • Return types: Optional for single, List for multiple
  • Use @Param for named parameters in queries