Retryable Jobs
Spring Retry
@Service
public class PaymentJob {
@Retryable(maxAttempts = 3, backoff = @Backoff(delay = 1000))
public void processPayment(PaymentRequest request) {
paymentGateway.charge(request);
}
@Recover
public void recover(Exception e, PaymentRequest request) {
log.error("Payment failed after retries", e);
deadLetterService.send(request);
}
}
Key Points
- Understanding Retryable Jobs 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 Retryable Jobs 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 Retryable Jobs in a backend system. Consider scalability, error handling, and production readiness.
Solution
// Retryable Jobs implementation
// Key aspects: validation, error handling, logging, testing
public class RetryableJobs {
// Production-ready implementation
}Identify and handle edge cases for Retryable Jobs. 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 Retryable Jobs. 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. @Retryable retries?
2. @Recover called when?
3. What is the primary purpose of Retryable Jobs?
4. What is a common mistake when implementing Retryable Jobs?
Flashcards
Question
@Retryable retries?
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Answer
Up to configured max attempts
Question
@Recover?
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Answer
Called after all retries exhausted
Question
What is Retryable Jobs?
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Answer
Retryable Jobs is a key concept in backend development.
Question
When to use Retryable Jobs?
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Answer
Use Retryable Jobs when building production systems that require reliability, scalability, and maintainability.
Question
Retryable Jobs 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.@Retryable for automatic retry
- 2.Configure max attempts and backoff
- 3.@Recover for fallback after retries
- 4.Use for transient failures
Interview Tips
- •Implement retryable jobs
- •Know @Retryable and @Recover
Cheat Sheet
Retryable Jobs
- @Retryable(maxAttempts=3)
- @Backoff(delay=1000)
- @Recover: fallback after all retries
- Use for: transient failures