Spring Avro Consumer消息转换器异常

时间:2019-10-09 10:00:28

标签: spring-boot apache-kafka avro confluent

我有一个Spring Cloud应用程序。这是消费者应用程序属性

cloud:
   stream:
     default:
       producer:
         useNativeEncoding: true
       consumer:
         useNativeEncoding: true
     bindings:
       inputtest:
         destination: test
         content-type: application/*+avro
       outputtest:
         destination: test
         content-type: application/*+avro

     kafka:
       streams:
         binder:
           configuration:
             application:
               server: localhost:8082
       binder:
         producer-properties:
           key.serializer: org.apache.kafka.common.serialization.StringSerializer
           value.serializer: io.confluent.kafka.serializers.KafkaAvroSerializer
           schema.registry.url: http://localhost:8081
         consumer-properties:
           key.deserializer: org.apache.kafka.common.serialization.StringDeserializer
           value.deserializer: io.confluent.kafka.serializers.KafkaAvroDeserializer
           schema.registry.url: http://localhost:8081
           specific.avro.reader: true
       schema:
         avro:
           dynamicSchemaGenerationEnabled: true

还配置了StreamListener

    public void consumeDetails(GenericRecord message) {

        System.out.println(message);
    }

它能够获取Genericrecord,但是当我将任何Java类放在通用记录的地方时,它会抛出异常

@StreamListener(CreateMessageSink.INPUT)
    public void consumeDetails(**TestMessage** message) {
        System.out.println(message);
    }

例外是我正在接收消息是

org.springframework.messaging.converter.MessageConversionException: Cannot convert from [com.dataset.CreateMessage] to [com.notebook..TestMessge] for GenericMessage [payload={ "time": 1570614318582, "task": "Create", "userId": "-1", "status": "Success", "severity": "INFO", "details": {"notebookId": "1", "datasetId": "1"}}, headers={kafka_offset=59, kafka_consumer=org.apache.kafka.clients.consumer.KafkaConsumer@745a009e, deliveryAttempt=3, kafka_timestampType=CREATE_TIME, kafka_receivedMessageKey=null, kafka_receivedPartitionId=0, kafka_receivedTopic=dataset-create-test, kafka_receivedTimestamp=1570614318587, contentType=application/*+avro}], failedMessage=GenericMessage [payload={"tenantId": "-1", "time": 1570614318582, "task": "CreateDataset", "userId": "-1", "status": "Success", "source": "dataset-svc", "severity": "INFO", "details": {"notebookId": "d02fd508-f6cc-4d2f-a713-4298bca4e216", "datasetId": "5d9dac2eb7420146d6a79d30"}}, headers={kafka_offset=59, kafka_consumer=org.apache.kafka.clients.consumer.KafkaConsumer@745a009e, deliveryAttempt=3, kafka_timestampType=CREATE_TIME, kafka_receivedMessageKey=null, kafka_receivedPartitionId=0, kafka_receivedTopic=dataset-create-test, kafka_receivedTimestamp=1570614318587, contentType=application/*+avro}]
    at org.springframework.cloud.stream.config.SmartPayloadArgumentResolver.resolveArgument(SmartPayloadArgumentResolver.java:126)
    at org.springframework.messaging.handler.invocation.HandlerMethodArgumentResolverComposite.resolveArgument(HandlerMethodArgumentResolverComposite.java:117)

0 个答案:

没有答案