Home Java javaTutorial Common design patterns in Java frameworks

Common design patterns in Java frameworks

Jun 02, 2024 am 10:57 AM
Design Patterns java framework

Design patterns in Java framework are used to enhance the scalability, maintainability and reusability of code. Commonly used patterns include: Singleton Pattern: Ensures that only one instance of a class exists and accesses it throughout the application. Factory method pattern: Create an interface for objects, and the subclass decides which object to instantiate. Observer pattern: Define a one-to-many dependency relationship. When one object changes, other objects receive notifications and update their status. Strategy pattern: Define a series of algorithms and make them interchangeable, making the algorithm class independent of the client class.

Common design patterns in Java frameworks

Commonly used design patterns in Java frameworks

In the software development process, design patterns are a proven code organization Structures for solving common problems. In Java frameworks, design patterns are widely used to enhance the scalability, maintainability, and reusability of code. The following are some of the most commonly used design patterns in Java frameworks:

Singleton pattern

  • Purpose: Ensure a Only one instance of a class exists, and that instance is accessed throughout the application.

    public class Singleton {
      private static Singleton instance;
    
      private Singleton() { /* Private constructor to prevent instantiation */ }
    
      public static Singleton getInstance() {
          if (instance == null) {
              instance = new Singleton();
          }
          return instance;
      }
    }
    Copy after login

Factory method pattern

  • ##Purpose: Define an interface for creating objects, let The subclass determines which class is instantiated.

    public interface ShapeFactory {
      Shape createShape();
    }
    
    public class CircleFactory implements ShapeFactory {
      @Override
      public Shape createShape() {
          return new Circle();
      }
    }
    
    public class SquareFactory implements ShapeFactory {
      @Override
      public Shape createShape() {
          return new Square();
      }
    }
    Copy after login

Observer Pattern

  • ##Purpose:

    Define one-to-many between objects Dependencies, when one object changes, other objects are notified and update their state.

    public interface Observer {
      void update(Subject subject);
    }
    
    public class Subject {
      private List<Observer> observers = new ArrayList<>();
    
      public void addObserver(Observer observer) {
          observers.add(observer);
      }
    
      public void removeObserver(Observer observer) {
          observers.remove(observer);
      }
    
      public void notifyObservers() {
          for (Observer observer : observers) {
              observer.update(this);
          }
      }
    }
    Copy after login

Strategy pattern

    ##Purpose:
  • Define a series of algorithms, encapsulate them and make them They are interchangeable. This pattern makes algorithm classes independent of the client classes that use them.

    public interface Strategy {
      int calculate(int num1, int num2);
    }
    
    public class AdditionStrategy implements Strategy {
      @Override
      public int calculate(int num1, int num2) {
          return num1 + num2;
      }
    }
    
    public class SubtractionStrategy implements Strategy {
      @Override
      public int calculate(int num1, int num2) {
          return num1 - num2;
      }
    }
    Copy after login

  • Practical case: Observer pattern in Spring Framework

Spring Framework uses the observer pattern to notify bean events. When a bean is created, destroyed, or changed, Spring publishes events that applications can subscribe to and act accordingly.

@EventListener(ApplicationReadyEvent.class)
public void handleApplicationReadyEvent() {
    // 在应用程序启动时执行的操作
}
Copy after login

The above is the detailed content of Common design patterns in Java frameworks. For more information, please follow other related articles on the PHP Chinese website!

Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn

Hot AI Tools

Undresser.AI Undress

Undresser.AI Undress

AI-powered app for creating realistic nude photos

AI Clothes Remover

AI Clothes Remover

Online AI tool for removing clothes from photos.

Undress AI Tool

Undress AI Tool

Undress images for free

Clothoff.io

Clothoff.io

AI clothes remover

Video Face Swap

Video Face Swap

Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Tools

Notepad++7.3.1

Notepad++7.3.1

Easy-to-use and free code editor

SublimeText3 Chinese version

SublimeText3 Chinese version

Chinese version, very easy to use

Zend Studio 13.0.1

Zend Studio 13.0.1

Powerful PHP integrated development environment

Dreamweaver CS6

Dreamweaver CS6

Visual web development tools

SublimeText3 Mac version

SublimeText3 Mac version

God-level code editing software (SublimeText3)

Hot Topics

Java Tutorial
1664
14
PHP Tutorial
1266
29
C# Tutorial
1239
24
Performance comparison of different Java frameworks Performance comparison of different Java frameworks Jun 05, 2024 pm 07:14 PM

Performance comparison of different Java frameworks: REST API request processing: Vert.x is the best, with a request rate of 2 times SpringBoot and 3 times Dropwizard. Database query: SpringBoot's HibernateORM is better than Vert.x and Dropwizard's ORM. Caching operations: Vert.x's Hazelcast client is superior to SpringBoot and Dropwizard's caching mechanisms. Suitable framework: Choose according to application requirements. Vert.x is suitable for high-performance web services, SpringBoot is suitable for data-intensive applications, and Dropwizard is suitable for microservice architecture.

In-depth comparison: best practices between Java frameworks and other language frameworks In-depth comparison: best practices between Java frameworks and other language frameworks Jun 04, 2024 pm 07:51 PM

Java frameworks are suitable for projects where cross-platform, stability and scalability are crucial. For Java projects, Spring Framework is used for dependency injection and aspect-oriented programming, and best practices include using SpringBean and SpringBeanFactory. Hibernate is used for object-relational mapping, and best practice is to use HQL for complex queries. JakartaEE is used for enterprise application development, and the best practice is to use EJB for distributed business logic.

The combination of Java framework and front-end Angular framework The combination of Java framework and front-end Angular framework Jun 05, 2024 pm 06:37 PM

Answer: Java backend framework and Angular frontend framework can be integrated to provide a powerful combination for building modern web applications. Steps: Create Java backend project, select SpringWeb and SpringDataJPA dependencies. Define model and repository interfaces. Create a REST controller and provide endpoints. Create an Angular project. Add SpringBootJava dependency. Configure CORS. Integrate Angular in Angular components.

Common problems and solutions in asynchronous programming in Java framework Common problems and solutions in asynchronous programming in Java framework Jun 04, 2024 pm 05:09 PM

3 common problems and solutions in asynchronous programming in Java frameworks: Callback Hell: Use Promise or CompletableFuture to manage callbacks in a more intuitive style. Resource contention: Use synchronization primitives (such as locks) to protect shared resources, and consider using thread-safe collections (such as ConcurrentHashMap). Unhandled exceptions: Explicitly handle exceptions in tasks and use an exception handling framework (such as CompletableFuture.exceptionally()) to handle exceptions.

What are the benefits of template method pattern in java framework? What are the benefits of template method pattern in java framework? Jun 05, 2024 pm 08:45 PM

The Template Method pattern defines an algorithm framework with specific steps implemented by subclasses. Its advantages include extensibility, code reuse, and consistency. In a practical case, the beverage production framework uses this pattern to create customizable beverage production algorithms, including coffee and tea classes, which can customize brewing and flavoring steps while maintaining consistency.

Integrated application of java framework and artificial intelligence Integrated application of java framework and artificial intelligence Jun 05, 2024 pm 06:50 PM

Java frameworks integrated with AI enable applications to take advantage of AI technologies, including automating tasks, delivering personalized experiences, and supporting decision-making. By directly calling or using third-party libraries, the Java framework can be seamlessly integrated with frameworks such as H2O.ai and Weka to achieve functions such as data analysis, predictive modeling, and neural network training, and be used for practical applications such as personalized product recommendations.

Analysis of the advantages and disadvantages of java framework Analysis of the advantages and disadvantages of java framework Jun 05, 2024 pm 02:48 PM

The Java framework provides predefined components with the following advantages and disadvantages: Advantages: code reusability, modularity, testability, security, and versatility. Disadvantages: Learning curve, performance overhead, limitations, complexity, and vendor lock-in.

The trend of combining java framework and edge computing The trend of combining java framework and edge computing Jun 05, 2024 pm 10:06 PM

Java frameworks are combined with edge computing to enable innovative applications. They create new opportunities for the Internet of Things, smart cities and other fields by reducing latency, improving data security, and optimizing costs. The main integration steps include selecting an edge computing platform, deploying Java applications, managing edge devices, and cloud integration. Benefits of this combination include reduced latency, data localization, cost optimization, scalability and resiliency.

See all articles