Question

Spring Cloud Stream是否可以使用ReplyingKafkaTemplate？要使用配置，是否有任何代码示例？

Answer 1

这一切都在一个应用程序中，但说明了它是如何工作的...

@SpringBootApplication
@EnableBinding(Processor.class)
public class So57380643Application {

    public static void main(String[] args) {
        SpringApplication.run(So57380643Application.class, args).close();
    }

    @Bean
    public ReplyingKafkaTemplate<byte[], byte[], byte[]> replyer(ProducerFactory<byte[], byte[]> pf,
            ConcurrentMessageListenerContainer<byte[], byte[]> replyContainer) {

        return new ReplyingKafkaTemplate<>(pf, replyContainer);
    }

    @Bean
    public ConcurrentMessageListenerContainer<byte[], byte[]> replyContainer(
            ConcurrentKafkaListenerContainerFactory<byte[], byte[]> factory) {

        ConcurrentMessageListenerContainer<byte[], byte[]> container = factory.createContainer("replyTopic");
        container.getContainerProperties().setGroupId("replies.group");
        return container;
    }

    @StreamListener(Processor.INPUT)
    @SendTo(Processor.OUTPUT)
    public String listen(String in) {
        return in.toUpperCase();
    }

    @Bean
    public ApplicationRunner runner(ReplyingKafkaTemplate<byte[], byte[], byte[]> replyer) {
        return args -> {
            ProducerRecord<byte[], byte[]> record = new ProducerRecord<>("requestTopic", "foo".getBytes());
            RequestReplyFuture<byte[], byte[], byte[]> future = replyer.sendAndReceive(record);
            RecordMetadata meta = future.getSendFuture().get(10, TimeUnit.SECONDS).getRecordMetadata();
            System.out.println(meta);
            ConsumerRecord<byte[], byte[]> consumerRecord = future.get(10, TimeUnit.SECONDS);
            System.out.println(new String(consumerRecord.value()));
        };
    }

}

和

spring:
  kafka:
    consumer:
      enable-auto-commit: false
      auto-offset-reset: earliest
  cloud:
    stream:
      bindings:
        input:
          destination: requestTopic
          group: so57380643
        output:
          destination: replyTopic

结果：

requestTopic-0@3
FOO

Spring Cloud Streaming的ReplyingKafkaTemplate

1 个答案: