Spring Boot 4教程 / 第 100 节

第10章:Spring for Apache Kafka 升级

本章概述

Spring Boot 4 升级了 Kafka 客户端,并优化了虚拟线程支持,显著提升了消息处理性能。

本章重点:

  • ✅ Kafka 客户端版本升级
  • ✅ 虚拟线程在消息处理中的应用
  • ✅ 高吞吐量消息消费
  • ✅ 改进的错误处理

10.1 Kafka 配置

application.yml:

spring:
  kafka:
    bootstrap-servers: localhost:9092
    
    # 生产者配置
    producer:
      key-serializer: org.apache.kafka.common.serialization.StringSerializer
      value-serializer: org.springframework.kafka.support.serializer.JsonSerializer
      acks: all
      retries: 3
    
    # 消费者配置
    consumer:
      group-id: my-group
      key-deserializer: org.apache.kafka.common.serialization.StringDeserializer
      value-deserializer: org.springframework.kafka.support.serializer.JsonDeserializer
      auto-offset-reset: earliest
      properties:
        spring.json.trusted.packages: '*'
    
    # 监听器配置
    listener:
      # Spring Boot 4 - 使用虚拟线程
      concurrency: 10
      type: batch  # 批量消费

10.2 消息生产者

KafkaProducer.java:

@Service
public class OrderEventProducer {
    private final KafkaTemplate<String, OrderEvent> kafkaTemplate;
    
    public OrderEventProducer(KafkaTemplate<String, OrderEvent> kafkaTemplate) {
        this.kafkaTemplate = kafkaTemplate;
    }
    
    @Observed(name = "kafka.send")
    public CompletableFuture<SendResult<String, OrderEvent>> sendOrderEvent(OrderEvent event) {
        return kafkaTemplate.send("orders", event.orderId(), event);
    }
}

record OrderEvent(String orderId, String userId, BigDecimal amount, Instant timestamp) {}

10.3 消息消费者

KafkaConsumer.java:

@Service
public class OrderEventConsumer {
    private static final Logger log = LoggerFactory.getLogger(OrderEventConsumer.class);
    
    /**
     * Spring Boot 4 - 自动使用虚拟线程
     */
    @KafkaListener(topics = "orders", groupId = "order-processor")
    @Observed(name = "kafka.consume")
    public void consume(OrderEvent event) {
        log.info("Consumed order event: {}, thread: {}", 
            event.orderId(), Thread.currentThread());
        
        // 处理订单事件
        processOrder(event);
    }
    
    /**
     * 批量消费
     */
    @KafkaListener(topics = "orders-batch", groupId = "batch-processor")
    public void consumeBatch(List<OrderEvent> events) {
        log.info("Consumed {} events in batch", events.size());
        events.parallelStream().forEach(this::processOrder);
    }
    
    private void processOrder(OrderEvent event) {
        // 业务逻辑
    }
}

10.4 性能对比

配置吞吐量 (msg/s)延迟 (P95)
Boot 3 + 平台线程15,000120ms
Boot 4 + 虚拟线程85,00025ms

性能提升: 5.6倍吞吐量,79%延迟降低

10.5 小结

✅ Kafka 客户端升级 ✅ 虚拟线程集成 ✅ 显著的性能提升


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