Java 启动使用者时引发异常-(无法为微服务中的不同通道分配相同的组名)

Java 启动使用者时引发异常-(无法为微服务中的不同通道分配相同的组名),java,routing,rabbitmq,spring-cloud,spring-cloud-stream,Java,Routing,Rabbitmq,Spring Cloud,Spring Cloud Stream,我是Spring cloud stream和rabbitmq的新手。最近,我在启动一个微服务后遇到了一个异常。这说明无法注册对象,因为它已注册,我认为这是因为为每个通道分配的组名,请检查异常 2018-05-28 10:01:38.420 ERROR 10244 --- [ask-scheduler-2] o.s.cloud.stream.binding.BindingService : Failed to create consumer binding; retrying in 30 se

我是Spring cloud stream和rabbitmq的新手。最近,我在启动一个微服务后遇到了一个异常。这说明无法注册对象,因为它已注册,我认为这是因为为每个通道分配的组名,请检查异常

 2018-05-28 10:01:38.420 ERROR 10244 --- [ask-scheduler-2] o.s.cloud.stream.binding.BindingService  : Failed to create consumer binding; retrying in 30 seconds
 org.springframework.cloud.stream.binder.BinderException: Exception thrown while starting consumer: 
     at org.springframework.cloud.stream.binder.AbstractMessageChannelBinder.doBindConsumer(AbstractMessageChannelBinder.java:326) ~[spring-cloud-stream-2.0.0.RC3.jar:2.0.0.RC3]
     at org.springframework.cloud.stream.binder.AbstractMessageChannelBinder.doBindConsumer(AbstractMessageChannelBinder.java:77) ~[spring-cloud-stream-2.0.0.RC3.jar:2.0.0.RC3]
     at org.springframework.cloud.stream.binder.AbstractBinder.bindConsumer(AbstractBinder.java:129) ~[spring-cloud-stream-2.0.0.RC3.jar:2.0.0.RC3]
     at org.springframework.cloud.stream.binding.BindingService.lambda$rescheduleConsumerBinding$0(BindingService.java:154) ~[spring-cloud-stream-2.0.0.RC3.jar:2.0.0.RC3]
     at org.springframework.scheduling.support.DelegatingErrorHandlingRunnable.run(DelegatingErrorHandlingRunnable.java:54) ~[spring-context-5.0.5.RELEASE.jar:5.0.5.RELEASE]
     at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) ~[na:1.8.0_101]
     at java.util.concurrent.FutureTask.run(FutureTask.java:266) ~[na:1.8.0_101]
     at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.access$201(ScheduledThreadPoolExecutor.java:180) ~[na:1.8.0_101]
     at java.util.concurrent.ScheduledThreadPoolExecutor$ScheduledFutureTask.run(ScheduledThreadPoolExecutor.java:293) ~[na:1.8.0_101]
     at java.util.concurrent.ThreadPoolExecutor.runWorker(ThreadPoolExecutor.java:1142) ~[na:1.8.0_101]
     at java.util.concurrent.ThreadPoolExecutor$Worker.run(ThreadPoolExecutor.java:617) ~[na:1.8.0_101]
     at java.lang.Thread.run(Thread.java:745) ~[na:1.8.0_101]
 Caused by: java.lang.IllegalStateException: Could not register object [org.springframework.integration.handler.advice.ErrorMessageSendingRecoverer@70a0362b] under bean name 'org.nets.ups.alertService.errors.recoverer': there is already object [org.springframework.integration.handler.advice.ErrorMessageSendingRecoverer@cfd5cd2] bound
     at org.springframework.beans.factory.support.DefaultSingletonBeanRegistry.registerSingleton(DefaultSingletonBeanRegistry.java:126) ~[spring-beans-5.0.5.RELEASE.jar:5.0.5.RELEASE]
     at org.springframework.beans.factory.support.DefaultListableBeanFactory.registerSingleton(DefaultListableBeanFactory.java:932) ~[spring-beans-5.0.5.RELEASE.jar:5.0.5.RELEASE]
     at org.springframework.cloud.stream.binder.AbstractMessageChannelBinder.registerErrorInfrastructure(AbstractMessageChannelBinder.java:519) ~[spring-cloud-stream-2.0.0.RC3.jar:2.0.0.RC3]
     at org.springframework.cloud.stream.binder.AbstractMessageChannelBinder.registerErrorInfrastructure(AbstractMessageChannelBinder.java:478) ~[spring-cloud-stream-2.0.0.RC3.jar:2.0.0.RC3]
     at org.springframework.cloud.stream.binder.rabbit.RabbitMessageChannelBinder.createConsumerEndpoint(RabbitMessageChannelBinder.java:391) ~[spring-cloud-stream-binder-rabbit-2.0.0.RC3.jar:2.0.0.RC3]
     at org.springframework.cloud.stream.binder.rabbit.RabbitMessageChannelBinder.createConsumerEndpoint(RabbitMessageChannelBinder.java:104) ~[spring-cloud-stream-binder-rabbit-2.0.0.RC3.jar:2.0.0.RC3]
     at org.springframework.cloud.stream.binder.AbstractMessageChannelBinder.doBindConsumer(AbstractMessageChannelBinder.java:279) ~[spring-cloud-stream-2.0.0.RC3.jar:2.0.0.RC3]
     ... 11 common frames omitted
当我在这个微服务中为每个频道指定相同的组名时,这种情况就发生了。像这样的,

 spring:
   cloud:
     stream:
       bindings:
         useroperation:
           destination: org.nets.ups
           content-type: application/json
           group: alertService
         departmentoperation:
           destination: org.nets.ups
           content-type: application/json
           group: alertService
         roleoperation:
           destination: org.nets.ups
           content-type: application/json
           group: alertService
         rabbit:
           bindings:
             useroperation:
               consumer:
                 bindingRoutingKey: 'adminservice.user.#'
             departmentoperation:
                consumer:
                  bindingRoutingKey: 'adminservice.department.#'
             roleoperation:
               consumer:
                 bindingRoutingKey: 'adminservice.role.#'
我可以通过删除组名来删除此异常,但组名始终是获得已知队列名和更好负载平衡的最佳选择。如果我做错了什么,或者您需要java代码(它只是每个通道的一个流侦听器),请告诉我

谢谢。

您的YAML格式不正确。应该是

spring:
  cloud:
    stream:
      bindings:
        useroperation:
          destination: org.nets.ups
          content-type: application/json
          group: alertService
        departmentoperation:
          destination: org.nets.ups
          content-type: application/json
          group: alertService
        roleoperation:
          destination: org.nets.ups
          content-type: application/json
          group: alertService
      rabbit:
        bindings:
          useroperation:
            consumer:
              bindingRoutingKey: 'adminservice.user.#'
          departmentoperation:
            consumer:
              bindingRoutingKey: 'adminservice.department.#'
          roleoperation:
           consumer:
             bindingRoutingKey: 'adminservice.role.#'

编辑

哦,我明白了;是的,看起来像一只虫子;如果多个绑定使用相同的目标和组,则无法注册错误基础结构。请针对spring cloud stream打开github问题。我们应该添加另一个属性以允许使用同一组


解决的办法是在每个地方使用不同的组。

我可以说,像这样的组对于每个频道应该是不同的吗?组:alertservice.user(queue1)、组:alertservice.department(queue2)、组:alertservice.role(queue3),我只想确保我的理解正确与否。是的,为每个dest使用不同的组将起作用-请参阅我的编辑。对于那些通过谷歌来到这里的人,比如我。