application.yml
YAML Format
server:
port: 8080
servlet:
context-path: /api
spring:
datasource:
url: jdbc:postgresql://localhost:5432/mydb
username: user
password: pass
jpa:
hibernate:
ddl-auto: update
show-sql: true
logging:
level:
root: INFO
com.example: DEBUG
YAML vs Properties
| Feature | YAML (.yml) | Properties |
|---|---|---|
| Readability | Better (hierarchical) | Flat |
| Nesting | Natural | Prefix-based |
| Lists | Native support | Indexed |
| Comments | Yes | Yes |
| Multi-line | Literal/folded | Escape characters |
Multi-line Strings
app:
welcome-message: |
Welcome to our application!
This is a multi-line message.
query: >
SELECT * FROM users
WHERE active = true
Lists in YAML
app:
supported-languages:
- en
- es
- fr
# Or inline
supported-languages: [en, es, fr]
servers:
- host: server1.example.com
port: 8080
- host: server2.example.com
port: 8081
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 application.yml 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 application.yml in a backend system. Consider scalability, error handling, and production readiness.
Solution
// application.yml implementation
// Key aspects: validation, error handling, logging, testing
public class applicationyml {
// Production-ready implementation
} Identify and handle edge cases for application.yml. 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 Write a testing strategy for application.yml. 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. What is the main advantage of YAML over properties?
2. How do you represent a list in YAML?
3. What is a common mistake when implementing application.yml?
Flashcards
Question
YAML vs properties format?
Click to reveal answer
Answer
YAML: hierarchical, readable. Properties: flat, prefix-based
Question
Multi-line string in YAML?
Click to reveal answer
Answer
Use | for literal (preserves newlines) or > for folded
Question
application.yml best practices
Click to reveal answer
Answer
Follow SOLID principles, write clean code, test thoroughly, document decisions, and monitor in production.
Revision Notes
Key Takeaways
- 1. YAML provides better readability for nested config
- 2. application.yml replaces application.properties
- 3. Multi-line: | literal, > folded
- 4. Lists: dash syntax or inline brackets
Interview Tips
- • Know YAML syntax for Spring Boot config
- • Compare YAML vs properties
Cheat Sheet
application.yml
- Structure: Indentation-based hierarchy
- Lists:
- itemor[item1, item2] - Multi-line:
|literal,>folded - vs Properties: More readable for nested config