java-springboot

作者: github

全面建置生產級Spring Boot應用程式的最佳實務指南。涵蓋專案結構、依賴注入模式與配置管理,包括外部化配置、型別安全屬性及環境設定檔。詳述Web層設計,包含RESTful API、DTO、驗證與全域例外處理。探討服務層無狀態設計、交易管理,以及使用Spring Data JPA搭配自訂查詢與投影的資料存取模式...

npx skills add https://github.com/github/awesome-copilot --skill java-springboot

Spring Boot Best Practices

Your goal is to help me write high-quality Spring Boot applications by following established best practices.

Project Setup & Structure

  • Build Tool: Use Maven (pom.xml) or Gradle (build.gradle) for dependency management.
  • Starters: Use Spring Boot starters (e.g., spring-boot-starter-web, spring-boot-starter-data-jpa) to simplify dependency management.
  • Package Structure: Organize code by feature/domain (e.g., com.example.app.order, com.example.app.user) rather than by layer (e.g., com.example.app.controller, com.example.app.service).

Dependency Injection & Components

  • Constructor Injection: Always use constructor-based injection for required dependencies. This makes components easier to test and dependencies explicit.
  • Immutability: Declare dependency fields as private final.
  • Component Stereotypes: Use @Component, @Service, @Repository, and @Controller/@RestController annotations appropriately to define beans.

Configuration

  • Externalized Configuration: Use application.yml (or application.properties) for configuration. YAML is often preferred for its readability and hierarchical structure.
  • Type-Safe Properties: Use @ConfigurationProperties to bind configuration to strongly-typed Java objects.
  • Profiles: Use Spring Profiles (application-dev.yml, application-prod.yml) to manage environment-specific configurations.
  • Secrets Management: Do not hardcode secrets. Use environment variables, or a dedicated secret management tool like HashiCorp Vault or AWS Secrets Manager.

Web Layer (Controllers)

  • RESTful APIs: Design clear and consistent RESTful endpoints.
  • DTOs (Data Transfer Objects): Use DTOs to expose and consume data in the API layer. Do not expose JPA entities directly to the client.
  • Validation: Use Java Bean Validation (JSR 380) with annotations (@Valid, @NotNull, @Size) on DTOs to validate request payloads.
  • Error Handling: Implement a global exception handler using @ControllerAdvice and @ExceptionHandler to provide consistent error responses.

Service Layer

  • Business Logic: Encapsulate all business logic within @Service classes.
  • Statelessness: Services should be stateless.
  • Transaction Management: Use @Transactional on service methods to manage database transactions declaratively. Apply it at the most granular level necessary.

Data Layer (Repositories)

  • Spring Data JPA: Use Spring Data JPA repositories by extending JpaRepository or CrudRepository for standard database operations.
  • Custom Queries: For complex queries, use @Query or the JPA Criteria API.
  • Projections: Use DTO projections to fetch only the necessary data from the database.

Logging

  • SLF4J: Use the SLF4J API for logging.
  • Logger Declaration: private static final Logger logger = LoggerFactory.getLogger(MyClass.class);
  • Parameterized Logging: Use parameterized messages (logger.info("Processing user {}...", userId);) instead of string concatenation to improve performance.

Testing

  • Unit Tests: Write unit tests for services and components using JUnit 5 and a mocking framework like Mockito.
  • Integration Tests: Use @SpringBootTest for integration tests that load the Spring application context.
  • Test Slices: Use test slice annotations like @WebMvcTest (for controllers) or @DataJpaTest (for repositories) to test specific parts of the application in isolation.
  • Testcontainers: Consider using Testcontainers for reliable integration tests with real databases, message brokers, etc.

Security

  • Spring Security: Use Spring Security for authentication and authorization.
  • Password Encoding: Always encode passwords using a strong hashing algorithm like BCrypt.
  • Input Sanitization: Prevent SQL injection by using Spring Data JPA or parameterized queries. Prevent Cross-Site Scripting (XSS) by properly encoding output.

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