Validation Design
Validation Rules
| Field | Rules |
|---|---|
| name | Required, 2-100 chars |
| price | Required, positive |
| Valid format | |
| sku | Required, unique pattern |
Error Response
{
"error": "VALIDATION_ERROR",
"details": [
{"field": "name", "message": "Required, 2-100 chars"},
{"field": "price", "message": "Must be positive"}
]
}
Key Points
- Understanding API Design: Validation 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
API Best Practices
Design Principles
- Use nouns, not verbs
- Plural resource names
- Consistent naming conventions
- Proper HTTP status codes
Versioning
- URI versioning (/v1/resource)
- Header versioning
- Deprecation policy
Documentation
- OpenAPI/Swagger specs
- Request/Response examples
- Error code documentation
- Rate limit documentation
Key Points
- Understanding API Design: Validation 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 API Design: Validation in a backend system. Consider scalability, error handling, and production readiness.
Solution
// API Design: Validation implementation
// Key aspects: validation, error handling, logging, testing
public class APIDesignValidation {
// Production-ready implementation
}Identify and handle edge cases for API Design: Validation. 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 API Design: Validation. 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. Validation errors return?
2. Validation should happen?
3. What is the primary purpose of API Design: Validation?
4. What is a common mistake when implementing API Design: Validation?
Flashcards
Question
Validation error status?
Click to reveal answer
Answer
400 or 422
Question
Validate where?
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Answer
Both client and server
Question
What is API Design: Validation?
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Answer
API Design: Validation is a key concept in backend development.
Question
When to use API Design: Validation?
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Answer
Use API Design: Validation when building production systems that require reliability, scalability, and maintainability.
Question
API Design: Validation 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.Define validation rules for each field
- 2.Return 400/422 with detailed errors
- 3.Validate on both client and server
- 4.Include field-level error messages
Interview Tips
- •Design validation rules
- •Handle validation errors
Cheat Sheet
Validation
- Rules: per field (required, min, max)
- Errors: 400/422 with details
- Validate: client + server
- Response: field-level messages