Applications and Problems of Design Patterns in Java Development Application Cases: Singleton Pattern: Ensure that a class has only one instance Factory Pattern: Flexibly create complex objects Proxy Pattern: Provide object replacement for access control, caching or delayed loading strategy pattern : Dynamically change the algorithm Observer pattern: Difficulties in implementing loosely coupled event processing: Over-design: Applying too many patterns leads to complex code Improper selection: Wrong pattern selection makes the code difficult to maintain Pattern conflict: Some patterns conflict with each other, the application needs to be cautious and difficult to test : Code testing with complex patterns is difficult
Introduction
Design patterns are libraries of proven, reusable solutions designed to solve common programming problems. They are designed to improve code maintainability, reusability, and extensibility. Design patterns are particularly important in Java development because it is an object-oriented language that provides a powerful and flexible framework for applying design patterns.
Actual cases of design patterns
The following are some Java design patterns that are widely used in actual projects:
The Dilemma of Design Patterns
Although design patterns are very useful, there are also some challenges in practical application:
Example: Application of proxy mode in caching
Consider an e-commerce website that needs to cache product data to improve performance. To avoid accessing the database directly, we can use proxy mode:
// 缓存代理类 public class CacheProxy implements ProductRepository { private ProductRepository realRepository; private Map<Long, Product> cache = new HashMap<>(); public CacheProxy(ProductRepository realRepository) { this.realRepository = realRepository; } @Override public Product findById(Long id) { Product product = cache.get(id); if (product != null) { return product; } product = realRepository.findById(id); cache.put(id, product); return product; } } // 使用缓存代理的客户端 public class ProductController { private ProductRepository productRepository; public ProductController(ProductRepository productRepository) { this.productRepository = productRepository; } public Product getProductById(Long id) { return productRepository.findById(id); } }
By using a caching proxy, we can avoid querying the database every time, thereby improving performance. When product data changes, you can keep the data consistent by clearing the cache.
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