Spring Cloud Stream消息驱动@SendTo和消

2020-01-10  本文已影响0人  普普通通的小斌

参考程序员DD大佬的文章,自己新建demo学习学习,由于需要消息回执,看到了@SendTo这个注解能够实现,下面开始学习demo,新建两个项目cloud-stream-consumer消费端 和 cloud-stream-consumer 生产端

public interface StreamReceive {

    @Input("MQRece")
    SubscribableChannel mqReceive();
}

添加一个StreamReceive接口,定义@input通道

@Component
@Slf4j
public class ReceiveListener {

    @StreamListener("MQRece")
    public byte[] receive(byte[] bytes){
        log.info("接受消息:"+new String(bytes));
        return "ok".getBytes();
    }

}

添加消息监听,接受消息定义为byte[]

添加application.properties配置文件信息

spring.cloud.stream.rocketmq.binder.namesrv-addr= 192.168.211.11:9876
spring.cloud.stream.bindings.MQRece.destination=message-topic
spring.cloud.stream.bindings.MQRece.group=rece-group
server.port=19999

为MQRece通道添加主题message-topic,组名rece-group

到此Stream 客户端消费就完成了,本节需要把@SendTo注解用起来,需要新建一个MessageChannel进行产生消息

public interface MsgBackPush {
    
    @Output("back-push")
    MessageChannel backPush();
}

然后在ReceiveListener添加@SendTo

@Component
@Slf4j
public class ReceiveListener {

    @StreamListener("MQRece")
    @SendTo("back-push")
    public byte[] receive(byte[] bytes){
        log.info("接受消息:"+new String(bytes));
        return "ok".getBytes();
    }

}

新增通道配置application.properties

spring.cloud.stream.bindings.back-push.destination=back-topic
spring.cloud.stream.bindings.back-push.group=back-group

SpringBoot启动类记得添加 @EnableBinding(value = {StreamReceive.class,MsgBackPush.class})

@SpringBootApplication
@EnableBinding(value = {StreamReceive.class,MsgBackPush.class})
public class CloudStreamConsumerApplication {

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

}

到此,cloud-stream-consumer这个demo就完成了

接下来看看 cloud-stream-producer

public interface StreamPush {

    @Output("MQPush")
    MessageChannel mqPush();
}

定义一个通道名为MQPush,进行消息生产

public interface ProducerReceive {


    @Input("producer-receive")
    SubscribableChannel producerReceive();
}

定义一个通道名为producer-receive,进行回执消息的消费

@Component
@Slf4j
public class ProducerListener {
    @StreamListener("producer-receive")
    public void producerReceive(byte[] bytes){
        log.info("come back message:"+new String(bytes));
    }
}

具体回执消息处理逻辑,再来看看application.properties

spring.cloud.stream.rocketmq.binder.namesrv-addr= 192.168.214.191:9876
spring.cloud.stream.bindings.MQPush.destination=message-topic
spring.cloud.stream.bindings.MQPush.group=push-group


spring.cloud.stream.bindings.producer-receive.destination=back-topic
spring.cloud.stream.bindings.producer-receive.group=back-group


server.port=20000

为通道设置topic和group,新建一个Http接口测试一下成果

@SpringBootApplication
@EnableBinding(value = {StreamPush.class,ProducerReceive.class})
@RestController
public class CloudStreamProducerApplication {

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

    @Autowired
    private StreamPush streamPush;

    @GetMapping("/sendMessage")
    public String sendMessage(){
        streamPush.mqPush().send(MessageBuilder.withPayload("message body".getBytes()).build());
        return "ok";
    }
}

访问http://localhost:20000/sendMessage,结果图如下

cloud-stream-consumer日志输出

file

cloud-stream-producer日志输出

file

学习@ServiceActivator这个注解,上面的项目cloud-stream-consumer ReceiveListener类中添加

@Component
@Slf4j
public class ReceiveListener {

    @StreamListener("MQRece")
    @SendTo("back-push")
    public byte[] receive(byte[] bytes){
        log.info("接受消息:"+new String(bytes));
                // 抛出异常
        if(1==1){
            throw new RuntimeException("Message consumer failed!");
        }
        return "ok".getBytes();
    }

    @Autowired
    private MsgBackPush msgBackPush;

    @ServiceActivator(inputChannel = "message-topic.rece-group.errors")
    public void error(Message<?> message){
        log.info("消费者消费消息失败:"+message);
        msgBackPush.backPush().send(MessageBuilder.withPayload("消息消费失败".getBytes()).build());
    }
}

通过使用@ServiceActivator(inputChannel = "test-topic.stream-exception-handler.errors")指定了某个通道的错误处理映射。其中,inputChannel的配置中对应关系如下:

访问http://localhost:20000/sendMessage,结果图如下

cloud-stream-consumer日志输出

file

cloud-stream-producer日志输出

file
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