多个@EnableBinding 与 Kafka Spring Cloud Stream [英] Multiple @EnableBinding with Kafka Spring Cloud Stream

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本文介绍了多个@EnableBinding 与 Kafka Spring Cloud Stream的处理方法,对大家解决问题具有一定的参考价值,需要的朋友们下面随着小编来一起学习吧!

问题描述

我正在尝试设置一个 Spring Boot 应用程序来监听 Kafka.

I'm trying to set an Spring Boot Application listening to Kafka.

我正在使用 Kafka Streams Binder.

I'm using Kafka Streams Binder.

用一个简单的@EnableBinding

@EnableBinding(StreamExample.StreamProcessor.class)
public class StreamExample {

    @StreamListener(StreamProcessor.INPUT)
    @SendTo(StreamProcessor.OUTPUT)
    public KStream<String, String> process(KStream<String, String> input) {

        logger.info("Stream listening");

        return input
                .peek(((key, value) -> logger.info("key = {} value = {}", key, value)));
    }

    interface StreamProcessor {

        String INPUT = "input_1";
        String OUTPUT = "output_1";

        @Input(INPUT)
        KStream<String, String> input();

        @Output(OUTPUT)
        KStream<String, String> outputProcessed();
    }
}

application.yml

spring:
  cloud:
    stream:
      kafka:
        streams:
          binder:
            brokers: localhost:29092
      bindings:
         input_1:
           destination: mytopic1
           group: readgroup
         output_1:
           destination: mytopic2
         input_2:
           destination: mytopic3
           group: readgroup
         output_2:
           destination: mytopic4
  application:
    name: stream_s1000_app

一切正常.

但是如果我尝试添加具有其他绑定的第二个类,则会出现以下错误:

But if I try to add a second class with other binding, the following error occurs:

以下订阅的主题未分配给任何成员:[mytopic1]

第二个绑定示例:

@EnableBinding(StreamExampleBindingTwo.StreamProcessor.class)
public class StreamExampleBindingTwo {

    @StreamListener(StreamProcessor.INPUT)
    @SendTo(StreamProcessor.OUTPUT)
    public KStream<String, String> process(KStream<String, String> input) {

        logger.info("Stream listening binding two");

        return input
                .peek(((key, value) -> logger.info("key = {} value = {}", key, value)));
    }

    interface StreamProcessor {

        String INPUT = "input_2";
        String OUTPUT = "output_2";

        @Input(INPUT)
        KStream<String, String> input();

        @Output(OUTPUT)
        KStream<String, String> outputProcessed();
    }
}

我错过了什么?我不能在同一个应用程序中使用多个输入主题和多个输出吗?有与application.name相关的东西吗?

What I'm missing? Can't I use multiple input topics and multiple output in the same application? There is something related to application.name?

推荐答案

我刚刚尝试了一个应用,效果很好.当您在同一个应用程序中有多个处理器时,您需要确保每个处理器都有自己的应用程序 ID.请参阅下面我如何为 application.yml 中的两个输入设置 2 个不同的应用程序 ID.

I just tried an app and that worked. When you have multiple processors in the same application, you need to make sure that each processor gets its own application id. See below how I have 2 distinct application id's for both inputs in the application.yml.

我看到两个处理器都登录到控制台.此外,还看到了关于输出主题的消息.

I saw both processors are getting logged on the console. Also, saw the messages on the output topics.

@SpringBootApplication
@EnableBinding({So54522918Application.StreamProcessor1.class, So54522918Application.StreamProcessor2.class})
public class So54522918Application {

    public static void main(String[] args) {
        SpringApplication.run(So54522918Application.class, args);
    }

    @StreamListener(StreamProcessor1.INPUT)
    @SendTo(StreamProcessor1.OUTPUT)
    public KStream<String, String> process1(KStream<String, String> input) {

        System.out.println("Stream listening");

        return input
                .peek(((key, value) -> System.out.println("key = " + key +", value = " + value)));
    }

    @StreamListener(StreamProcessor2.INPUT)
    @SendTo(StreamProcessor2.OUTPUT)
    public KStream<String, String> process2(KStream<String, String> input) {

        System.out.println("Stream listening binding two");

        return input
                .peek(((key, value) -> System.out.println("key = " + key +", value = " + value)));
    }

    interface StreamProcessor1 {

        String INPUT = "input_1";
        String OUTPUT = "output_1";

        @Input(INPUT)
        KStream<String, String> input();

        @Output(OUTPUT)
        KStream<String, String> outputProcessed();
    }

    interface StreamProcessor2 {

        String INPUT = "input_2";
        String OUTPUT = "output_2";

        @Input(INPUT)
        KStream<String, String> input();

        @Output(OUTPUT)
        KStream<String, String> outputProcessed();
    }

}

application.yml 的相关部分

Relevant part of application.yml

spring.cloud.stream.kafka.streams.binder.configuration.commit.interval.ms: 1000
spring.cloud.stream.kafka.streams:
  binder.configuration:
    default.key.serde: org.apache.kafka.common.serialization.Serdes$StringSerde
    default.value.serde: org.apache.kafka.common.serialization.Serdes$StringSerde
  bindings.input_1.consumer.application-id: process-1
  bindings.input_2.consumer.application-id: process-2
spring.cloud.stream.bindings.input_1:
  destination: mytopic1
spring.cloud.stream.bindings.output_1:
  destination: mytopic2
spring.cloud.stream.bindings.input_2:
  destination: mytopic3
spring.cloud.stream.bindings.output_2:
  destination: mytopic4

这篇关于多个@EnableBinding 与 Kafka Spring Cloud Stream的文章就介绍到这了,希望我们推荐的答案对大家有所帮助,也希望大家多多支持IT屋!

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