随着技术的快速发展,现代Spring Boot项目通常采用以下技术组合:
使用Spring Initializr创建多模块Maven项目,选择以下依赖:
一个典型的电商系统可以拆分为以下微服务:
// 使用Spring Cloud Gateway配置路由
@Configuration
public class GatewayConfig {
@Bean
public RouteLocator routes(RouteLocatorBuilder builder) {
return builder.routes()
.route("user-service", r -> r.path("/api/users/**")
.uri("lb://user-service"))
.route("product-service", r -> r.path("/api/products/**")
.uri("lb://product-service"))
.build();
}
}
// 服务注册
@SpringBootApplication
@EnableEurekaClient
public class UserServiceApplication {
public static void main(String[] args) {
SpringApplication.run(UserServiceApplication.class, args);
}
}
Spring Boot 3支持响应式编程模型,提升系统吞吐量:
@RestController
@RequestMapping("/api/products")
public class ProductController {
private final ProductService productService;
public ProductController(ProductService productService) {
this.productService = productService;
}
@GetMapping
public Flux<Product> getAllProducts() {
return productService.findAll();
}
@GetMapping("/{id}")
public Mono<Product> getProductById(@PathVariable String id) {
return productService.findById(id);
}
@PostMapping
@ResponseStatus(HttpStatus.CREATED)
public Mono<Product> createProduct(@RequestBody Product product) {
return productService.save(product);
}
}
使用Spring Security OAuth2和JWT实现安全认证:
@Configuration
@EnableWebSecurity
public class SecurityConfig {
@Bean
public SecurityFilterChain securityFilterChain(HttpSecurity http) throws Exception {
http
.authorizeRequests()
.antMatchers("/api/auth/**").permitAll()
.anyRequest().authenticated()
.and()
.oauth2ResourceServer()
.jwt();
return http.build();
}
@Bean
public JwtDecoder jwtDecoder() {
return NimbusJwtDecoder.withJwkSetUri(jwkSetUri).build();
}
}
使用Kafka实现微服务间事件驱动通信:
@Service
public class OrderService {
private final KafkaTemplate<String, OrderEvent> kafkaTemplate;
@Autowired
public OrderService(KafkaTemplate<String, OrderEvent> kafkaTemplate) {
this.kafkaTemplate = kafkaTemplate;
}
@Transactional
public Order createOrder(Order order) {
// 保存订单
Order savedOrder = orderRepository.save(order);
// 发送订单创建事件
OrderEvent event = new OrderEvent(savedOrder.getId(), "ORDER_CREATED");
kafkaTemplate.send("order-events", event);
return savedOrder;
}
}
@Service
public class InventoryService {
@KafkaListener(topics = "order-events")
public void processOrderEvent(OrderEvent event) {
if ("ORDER_CREATED".equals(event.getType())) {
// 处理库存扣减逻辑
reduceInventory(event.getOrderId());
}
}
}
使用Seata框架处理分布式事务:
@GlobalTransactional
public Order createOrder(Order order) {
// 1. 保存订单
Order savedOrder = orderRepository.save(order);
// 2. 扣减库存
inventoryService.reduceInventory(order.getProductId(), order.getQuantity());
// 3. 创建支付记录
paymentService.createPaymentRecord(savedOrder.getId(), savedOrder.getTotalAmount());
return savedOrder;
}
Dockerfile示例:
FROM eclipse-temurin:17-jre-alpine
VOLUME /tmp
COPY target/user-service-0.0.1-SNAPSHOT.jar app.jar
ENTRYPOINT ["java","-jar","/app.jar"]
Kubernetes部署配置示例:
apiVersion: apps/v1
kind: Deployment
metadata:
name: user-service
spec:
replicas: 3
selector:
matchLabels:
app: user-service
template:
metadata:
labels:
app: user-service
spec:
containers:
- name: user-service
image: registry.example.com/user-service:latest
ports:
- containerPort: 8080
env:
- name: SPRING_PROFILES_ACTIVE
value: "prod"
- name: CONFIG_SERVER_URL
value: "http://config-server:8888"
集成Micrometer、Prometheus和Grafana进行监控:
@RestController
@RequestMapping("/api/metrics")
public class MetricsController {
private final Counter requestCounter;
@Autowired
public MetricsController(MeterRegistry registry) {
this.requestCounter = registry.counter("api.requests", "endpoint", "/api/metrics");
}
@GetMapping
public ResponseEntity<String> getMetrics() {
requestCounter.increment();
return ResponseEntity.ok("Metrics endpoint");
}
}
使用GitHub Actions实现自动化构建和部署:
name: CI/CD Pipeline
on:
push:
branches: [ main ]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v3
- name: Set up JDK 17
uses: actions/setup-java@v3
with:
java-version: '17'
distribution: 'temurin'
- name: Build with Maven
run: mvn clean package -DskipTests
- name: Upload artifact
uses: actions/upload-artifact@v3
with:
name: application
path: target/*.jar
deploy:
needs: build
runs-on: ubuntu-latest
steps:
- name: Download artifact
uses: actions/download-artifact@v3
with:
name: application
- name: Deploy to Kubernetes
uses: steebchen/kubectl@v2.0.0
with:
config: ${{ secrets.KUBE_CONFIG_DATA }}
command: |
kubectl set image deployment/user-service user-service=registry.example.com/user-service:${{ github.sha }}
通过上述技术组合,我们可以构建一个现代化、高可用的云原生电商平台。未来发展方向包括:
这种架构不仅适用于电商系统,也可以扩展到其他领域,如金融、医疗、教育等,为企业数字化转型提供有力支持。
Spring Boot 3, 微服务架构,云原生,电商平台,全流程构建,微服务实战,Spring Cloud, 容器化部署,Kubernetes,Docker, 微服务开发,电商架构,云原生技术,微服务治理,分布式系统
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。
原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。
如有侵权,请联系 cloudcommunity@tencent.com 删除。