Everything-claude-code-zh springboot-patterns
Spring Boot 架构模式、REST API 设计、分层服务、数据访问、缓存、异步处理与日志。适用于 Java Spring Boot 后端开发。
install
source · Clone the upstream repo
git clone https://github.com/xu-xiang/everything-claude-code-zh
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/xu-xiang/everything-claude-code-zh "$T" && mkdir -p ~/.claude/skills && cp -r "$T/docs/ja-JP/skills/springboot-patterns" ~/.claude/skills/xu-xiang-everything-claude-code-zh-springboot-patterns && rm -rf "$T"
manifest:
docs/ja-JP/skills/springboot-patterns/SKILL.mdsource content
Spring Boot 开发模式
为构建可扩展的生产级服务提供的 Spring Boot 架构与 API 模式。
REST API 结构
@RestController @RequestMapping("/api/markets") @Validated class MarketController { private final MarketService marketService; MarketController(MarketService marketService) { this.marketService = marketService; } @GetMapping ResponseEntity<Page<MarketResponse>> list( @RequestParam(defaultValue = "0") int page, @RequestParam(defaultValue = "20") int size) { Page<Market> markets = marketService.list(PageRequest.of(page, size)); return ResponseEntity.ok(markets.map(MarketResponse::from)); } @PostMapping ResponseEntity<MarketResponse> create(@Valid @RequestBody CreateMarketRequest request) { Market market = marketService.create(request); return ResponseEntity.status(HttpStatus.CREATED).body(MarketResponse::from(market)); } }
仓库模式(Repository Pattern, Spring Data JPA)
public interface MarketRepository extends JpaRepository<MarketEntity, Long> { @Query("select m from MarketEntity m where m.status = :status order by m.volume desc") List<MarketEntity> findActive(@Param("status") MarketStatus status, Pageable pageable); }
带事务的服务层
@Service public class MarketService { private final MarketRepository repo; public MarketService(MarketRepository repo) { this.repo = repo; } @Transactional public Market create(CreateMarketRequest request) { MarketEntity entity = MarketEntity.from(request); MarketEntity saved = repo.save(entity); return Market.from(saved); } }
DTO 与校验(Validation)
public record CreateMarketRequest( @NotBlank @Size(max = 200) String name, @NotBlank @Size(max = 2000) String description, @NotNull @FutureOrPresent Instant endDate, @NotEmpty List<@NotBlank String> categories) {} public record MarketResponse(Long id, String name, MarketStatus status) { static MarketResponse from(Market market) { return new MarketResponse(market.id(), market.name(), market.status()); } }
异常处理(Exception Handling)
@ControllerAdvice class GlobalExceptionHandler { @ExceptionHandler(MethodArgumentNotValidException.class) ResponseEntity<ApiError> handleValidation(MethodArgumentNotValidException ex) { String message = ex.getBindingResult().getFieldErrors().stream() .map(e -> e.getField() + ": " + e.getDefaultMessage()) .collect(Collectors.joining(", ")); return ResponseEntity.badRequest().body(ApiError.validation(message)); } @ExceptionHandler(AccessDeniedException.class) ResponseEntity<ApiError> handleAccessDenied() { return ResponseEntity.status(HttpStatus.FORBIDDEN).body(ApiError.of("Forbidden")); } @ExceptionHandler(Exception.class) ResponseEntity<ApiError> handleGeneric(Exception ex) { // 记录带堆栈轨迹的非预期错误日志 return ResponseEntity.status(HttpStatus.INTERNAL_SERVER_ERROR) .body(ApiError.of("Internal server error")); } }
缓存(Caching)
需要在配置类中使用
@EnableCaching。
@Service public class MarketCacheService { private final MarketRepository repo; public MarketCacheService(MarketRepository repo) { this.repo = repo; } @Cacheable(value = "market", key = "#id") public Market getById(Long id) { return repo.findById(id) .map(Market::from) .orElseThrow(() -> new EntityNotFoundException("Market not found")); } @CacheEvict(value = "market", key = "#id") public void evict(Long id) {} }
异步处理
需要在配置类中使用
@EnableAsync。
@Service public class NotificationService { @Async public CompletableFuture<Void> sendAsync(Notification notification) { // 发送邮件/短信 return CompletableFuture.completedFuture(null); } }
日志(Logging, SLF4J)
@Service public class ReportService { private static final Logger log = LoggerFactory.getLogger(ReportService.class); public Report generate(Long marketId) { log.info("generate_report marketId={}", marketId); try { // 业务逻辑 } catch (Exception ex) { log.error("generate_report_failed marketId={}", marketId, ex); throw ex; } return new Report(); } }
中间件 / 过滤器(Middleware / Filter)
@Component public class RequestLoggingFilter extends OncePerRequestFilter { private static final Logger log = LoggerFactory.getLogger(RequestLoggingFilter.class); @Override protected void doFilterInternal(HttpServletRequest request, HttpServletResponse response, FilterChain filterChain) throws ServletException, IOException { long start = System.currentTimeMillis(); try { filterChain.doFilter(request, response); } finally { long duration = System.currentTimeMillis() - start; log.info("req method={} uri={} status={} durationMs={}", request.getMethod(), request.getRequestURI(), response.getStatus(), duration); } } }
分页与排序
PageRequest page = PageRequest.of(pageNumber, pageSize, Sort.by("createdAt").descending()); Page<Market> results = marketService.list(page);
具备容错能力的外部调用(Resilient External Calls)
public <T> T withRetry(Supplier<T> supplier, int maxRetries) { int attempts = 0; while (true) { try { return supplier.get(); } catch (Exception ex) { attempts++; if (attempts >= maxRetries) { throw ex; } try { Thread.sleep((long) Math.pow(2, attempts) * 100L); } catch (InterruptedException ie) { Thread.currentThread().interrupt(); throw ex; } } } }
限流(Rate Limiting, Filter + Bucket4j)
安全提示:
X-Forwarded-For 请求头默认不可信,因为客户端可以伪造它。
仅在以下情况下使用转发请求头:
- 应用程序部署在受信任的反向代理(如 nginx, AWS ALB 等)后
- 已将
注册为 BeanForwardedHeaderFilter - 在 application properties 中设置了
或server.forward-headers-strategy=NATIVEFRAMEWORK - 代理服务器已配置为重写(而不是追加)
请求头X-Forwarded-For
如果正确配置了
ForwardedHeaderFilter,request.getRemoteAddr() 将自动从转发请求头中返回正确的客户端 IP。如果没有此配置,请直接使用 request.getRemoteAddr(),它将返回直连 IP,这是唯一可信的值。
@Component public class RateLimitFilter extends OncePerRequestFilter { private final Map<String, Bucket> buckets = new ConcurrentHashMap<>(); /* * 安全提示: 此过滤器使用 request.getRemoteAddr() 识别客户端以进行限流。 * * 如果应用程序部署在反向代理(如 nginx, AWS ALB 等)后,需要正确配置 Spring * 处理转发请求头,以确保能够准确检测客户端 IP: * * 1. 在 application.properties/yaml 中设置 server.forward-headers-strategy=NATIVE * (适用于云平台)或 FRAMEWORK * 2. 如果使用 FRAMEWORK 策略,请注册 ForwardedHeaderFilter: * * @Bean * ForwardedHeaderFilter forwardedHeaderFilter() { * return new ForwardedHeaderFilter(); * } * * 3. 确保代理服务器会重写(覆盖) X-Forwarded-For 请求头以防止伪造 * 4. 根据容器类型设置 server.tomcat.remoteip.trusted-proxies 或同等配置 * * 如果没有这些配置,request.getRemoteAddr() 将返回代理服务器的 IP 而不是客户端 IP。 * 切勿直接读取 X-Forwarded-For,在没有受信任的代理处理机制下,该头很容易被伪造。 */ @Override protected void doFilterInternal(HttpServletRequest request, HttpServletResponse response, FilterChain filterChain) throws ServletException, IOException { // 如果配置了 ForwardedHeaderFilter,getRemoteAddr() 将返回正确的客户端 IP。 // 否则返回直连 IP。在没有适当代理配置的情况下,不要直接信任 X-Forwarded-For 请求头。 String clientIp = request.getRemoteAddr(); Bucket bucket = buckets.computeIfAbsent(clientIp, k -> Bucket.builder() .addLimit(Bandwidth.classic(100, Refill.greedy(100, Duration.ofMinutes(1)))) .build()); if (bucket.tryConsume(1)) { filterChain.doFilter(request, response); } else { response.setStatus(HttpStatus.TOO_MANY_REQUESTS.value()); } } }
后台任务
使用 Spring 的
@Scheduled 或集成消息队列(Kafka, SQS, RabbitMQ 等)。保持处理器(Handler)幂等且可观测。
可观测性(Observability)
- 结构化日志(JSON):通过 Logback encoder 实现
- 指标(Metrics):Micrometer + Prometheus/OTel
- 链路追踪(Tracing):Micrometer Tracing 配合 OpenTelemetry 或 Brave 后端
生产环境默认实践
- 优先使用构造函数注入,避免字段注入(Field Injection)
- 启用
以支持 RFC 7807 错误详情(Spring Boot 3+)spring.mvc.problemdetails.enabled=true - 根据工作负载配置 HikariCP 连接池大小并设置超时
- 为查询操作使用
@Transactional(readOnly = true) - 使用
和@NonNull
强制执行 null 安全性Optional
请记住:保持 Controller 层轻量,Service 层专注,Repository 层简单,并集中处理异常。为可维护性和可测试性进行优化。