Async Processing
CompletableFuture
CompletableFuture.supplyAsync(() -> fetchProduct(id))
.thenApply(product -> enrichProduct(product))
.thenAccept(product -> sendResponse(product))
.exceptionally(ex -> handleError(ex));
Spring @Async
@Service
public class NotificationService {
@Async
public void sendEmail(EmailRequest request) {
// Runs in separate thread
}
}
Key Points
- Understanding Async Processing is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Best Practices
Key Principles
- Follow SOLID principles
- Write clean, readable code
- Test thoroughly
- Document decisions
- 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 Async Processing is essential for production systems
- Always consider scalability and maintainability
- Test thoroughly before deploying to production
- Monitor performance and set up alerting
Common Patterns
- Validation: Always validate input at the boundary
- Error Handling: Use structured error responses
- Logging: Log key events for debugging
- Testing: Unit, integration, and load tests
- Documentation: Keep docs updated with code changes
Practice Problems
Design and implement a solution for Async Processing in a backend system. Consider scalability, error handling, and production readiness.
Solution
// Async Processing implementation
// Key aspects: validation, error handling, logging, testing
public class AsyncProcessing {
// Production-ready implementation
}Identify and handle edge cases for Async Processing. 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, idempotencyWrite a testing strategy for Async Processing. Include unit tests, integration tests, and performance tests.
Solution
// Test plan:
// - Unit: 80% coverage target
// - Integration: API contracts
// - Performance: latency, throughput
// - Chaos: failure injectionQuiz
1. CompletableFuture chains with?
2. @Async runs?
3. What is the primary purpose of Async Processing?
4. What is a common mistake when implementing Async Processing?
Flashcards
Question
CompletableFuture chaining?
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Answer
thenApply, thenAccept, exceptionally
Question
@Async?
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Answer
Runs in separate thread pool
Question
What is Async Processing?
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Answer
Async Processing is a key concept in backend development.
Question
When to use Async Processing?
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Answer
Use Async Processing when building production systems that require reliability, scalability, and maintainability.
Question
Async Processing best practices
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Answer
Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.
Revision Notes
Key Takeaways
- 1.CompletableFuture for async chaining
- 2.@Async for Spring async methods
- 3.Exceptionally for error handling
- 4.Use proper thread pools
Interview Tips
- •Implement async processing
- •Know CompletableFuture API
Cheat Sheet
Async Processing
- CompletableFuture: thenApply, thenAccept, exceptionally
- @Async: Spring async method
- Use proper thread pools
- Handle exceptions with exceptionally()