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intermediate Phase · Database Integration

Entity Mapping

Map Java entities to database tables with annotations.

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Entity Mapping

Complete Entity Example

@Entity
@Table(name = "products", indexes = {
    @Index(name = "idx_sku", columnList = "sku", unique = true)
})
public class Product {
    @Id
    @GeneratedValue(strategy = GenerationType.IDENTITY)
    private Long id;

    @Column(nullable = false, length = 100)
    private String name;

    @Column(unique = true, nullable = false)
    private String sku;

    @Enumerated(EnumType.STRING)
    private ProductStatus status;

    @CreationTimestamp
    private LocalDateTime createdAt;

    @Version
    private Long version;  // Optimistic locking
}

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 Entity Mapping 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 / 3 solved
Implement Entity Mapping

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

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

public class EntityMapping {
    // Production-ready implementation
}
Entity Mapping Edge Cases

Identify and handle edge cases for Entity Mapping. 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
Entity Mapping Testing Strategy

Write a testing strategy for Entity Mapping. 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. @CreationTimestamp does what?

Question 1 options

2. @Version is for?

Question 2 options

3. What is a common mistake when implementing Entity Mapping?

Question 3 options

Flashcards

Question

@CreationTimestamp?

Answer

Auto-sets creation timestamp on save

Question

@Version?

Answer

Optimistic locking - prevent lost updates

Question

Entity Mapping best practices

Answer

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

Revision Notes

Key Takeaways

  • 1. @Entity marks persistent class
  • 2. @Column configures column properties
  • 3. @Version enables optimistic locking

Interview Tips

  • Map entities to tables
  • Know column mapping options

Cheat Sheet

Entity Mapping

  • @Entity, @Table, @Column
  • @CreationTimestamp, @UpdateTimestamp
  • @Version: optimistic locking