Database Architecture
Database in Backend Architecture
Application Server
|
+--> Connection Pool
|
+--> Database Driver (JDBC)
|
+--> Database Server
|
+--> Memory Buffer
|
+--> Disk Storage
Database Types
| Type | Examples | Use Case |
|---|---|---|
| Relational | PostgreSQL, MySQL | Structured data, ACID |
| Document | MongoDB | Flexible schemas |
| Key-Value | Redis | Caching, sessions |
| Column | Cassandra | Time-series, analytics |
| Graph | Neo4j | Relationships |
Database Best Practices
Design Principles
- Normalize to 3NF, denormalize for performance
- Use appropriate data types
- Add indexes for frequent queries
- Implement proper constraints
Query Optimization
- Use EXPLAIN ANALYZE
- Avoid SELECT *
- Use JOIN instead of subqueries
- Implement pagination
Operations
- Regular backups
- Monitor slow queries
- Implement connection pooling
- Use read replicas for scaling
Key Points
- Understanding Backend Database Architecture 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 Backend Database Architecture in a backend system. Consider scalability, error handling, and production readiness.
Solution
// Backend Database Architecture implementation
// Key aspects: validation, error handling, logging, testing
public class BackendDatabaseArchitecture {
// Production-ready implementation
}Identify and handle edge cases for Backend Database Architecture. 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 Backend Database Architecture. 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. Which database type provides ACID transactions?
2. What is a connection pool?
3. What is the primary purpose of Backend Database Architecture?
4. What is a common mistake when implementing Backend Database Architecture?
Flashcards
Question
Best DB for ACID?
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Answer
PostgreSQL, MySQL
Question
Connection pool?
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Answer
Reusable set of database connections
Question
What is Backend Database Architecture?
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Answer
Backend Database Architecture is a key concept in backend development.
Question
When to use Backend Database Architecture?
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Answer
Use Backend Database Architecture when building production systems that require reliability, scalability, and maintainability.
Question
Backend Database Architecture 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.Choose DB type based on data model
- 2.Relational for ACID, NoSQL for flexibility
- 3.Connection pooling is essential
Interview Tips
- •Know DB type selection
- •Explain connection pooling
Cheat Sheet
DB Architecture
- SQL: PostgreSQL/MySQL (ACID)
- NoSQL: MongoDB (flexible), Redis (cache)
- Connection Pool: Reuse connections