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Database Testing

Test database operations with test containers and fixtures.

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Database Testing

DB Test with Testcontainers

@SpringBootTest
class DatabaseTest {

    @Container
    static PostgreSQLContainer<?> db = new PostgreSQLContainer<>("postgres:15");

    @Autowired private UserRepository userRepository;

    @Test
    @Transactional
    void shouldPersistUser() {
        User user = new User("alice", "alice@example.com");
        userRepository.save(user);

        Optional<User> found = userRepository.findByUsername("alice");
        assertThat(found).isPresent();
        assertThat(found.get().getEmail()).isEqualTo("alice@example.com");
    }
}

Testing Strategies

Testing Pyramid

     /  E2E  \
    /----------\
   / Integration \
  /----------------\
 /      Unit        \
/--------------------

Test Types

  • Unit: Individual components
  • Integration: Component interactions
  • E2E: Full user workflows
  • Performance: Load/stress testing

Best Practices

  • Write tests first (TDD)
  • Aim for 80% coverage
  • Test edge cases
  • Keep tests fast and isolated

Key Points

  • Understanding Database Testing 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 Database Testing

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

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

public class DatabaseTesting {
    // Production-ready implementation
}
Database Testing Edge Cases

Identify and handle edge cases for Database Testing. 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
Database Testing Testing Strategy

Write a testing strategy for Database Testing. 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. @Transactional on test does?

Question 1 options

2. Database testing verifies?

Question 2 options

3. What is the primary purpose of Database Testing?

Question 3 options

4. What is a common mistake when implementing Database Testing?

Question 4 options

Flashcards

Question

@Transactional on test?

Answer

Rolls back after test

Question

Database testing verifies?

Answer

Data persistence and queries

Question

What is Database Testing?

Answer

Database Testing is a key concept in backend development.

Question

When to use Database Testing?

Answer

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

Question

Database Testing best practices

Answer

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

Revision Notes

Key Takeaways

  • 1.Test data persistence and queries
  • 2.@Transactional rolls back after test
  • 3.Testcontainers for real DB
  • 4.Verify both read and write operations

Interview Tips

  • Test database layer
  • Use Testcontainers

Cheat Sheet

Database Testing

  • Verify: persistence and queries
  • @Transactional: rollback after test
  • Testcontainers: real DB
  • Test: read and write ops