SpringCloud Stream笔记整理

yicj2024-03-15 14:53

添加kafka stream依赖

xml 复制代码

<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-stream</artifactId>
</dependency>
<dependency>
    <groupId>org.springframework.cloud</groupId>
    <artifactId>spring-cloud-stream-binder-kafka</artifactId>
</dependency>

application.yml中添加配置

yml 复制代码

--- #stream config
spring:
  cloud:
    stream:
      binders:
        myKafka1:
          type: kafka
          environment:
            spring:
              kafka:
                bootstrap-servers: 127.0.0.1:9092
      bindings:
        helloFunc-in-0:
          destination: hello-topic
          group: hello-local-test-10
          binder: myKafka1
          consumer:
            batch-mode: true
        helloFunc-out-0:
          destination: hello-topic
          group: hello-local-test-10
          binder: myKafka1
          consumer:
            batch-mode: true
    # 注意 function 节点与stream 同级，而非子节点
    function:
      definition: helloFunc;

编写消费者:

java 复制代码

@Slf4j
@Component
@RequiredArgsConstructor
public class HelloConsumer {
    @Bean
    public Consumer<Message<List<String>>> helloFunc() {
        return message -> {
            log.info("---------------------> ");
            List<String> list = message.getPayload();
            boolean result = this.handle(list);
            if (result) {
                Acknowledgment acknowledgment = message.getHeaders().get(KafkaHeaders.ACKNOWLEDGMENT, Acknowledgment.class);
                if (acknowledgment != null) {
                    acknowledgment.acknowledge();
                }
            } else {
                throw new RuntimeException("消费数据出错!");
            }
        };
    }

    private boolean handle(List<String> list){
        log.info("list size : {}", list.size());
        if (!CollectionUtils.isEmpty(list)){
            log.info("group first message : {}", list.get(0));
        }
        return true ;
    }
}