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Context

Example project to reproduce the issue describe here

How to reproduce

  1. Start a kafka broker by the way you like or with the included kafka/docker-compose.yml file by running docker-compose up --build -d, you'l also need to add 127.0.0.1 kafka to your hosts file
  2. Open your IDE (tested with Intellij)
  3. Create a Spring Boot Launch Configuration on the com.example.idkw.issue894.Issue894Application class
  4. Run the launch configuration
  5. Send an HTTP POST request on http://localhost:8080/example
    This will trigger the sending of a ProducerDto event into Kafka
    The @KafkaListener in ExampleService will then induce the consumption of this event
  6. Everything works fine and you should see the logs :
Sent event {} of class {}
Received event {} of class {}

Now, in the pom.xml file, uncomment the spring-boot-devtools dependency and reproduce the steps from step 4. You should get the following error :

2018-12-05 20:25:53.181 ERROR 1235 --- [ntainer#0-0-C-1] o.s.kafka.listener.LoggingErrorHandler   : Error while processing: ConsumerRecord(topic = example, partition = 0, offset = 0, CreateTime = 1544037945634, serialized key size = -1, serialized value size = 30, headers = RecordHeaders(headers = [], isReadOnly = false), key = null, value = com.example.idkw.issue894.ProducerDto@77313cdf)

org.springframework.kafka.listener.ListenerExecutionFailedException: Listener method could not be invoked with the incoming message
Endpoint handler details:
Method [public void com.example.idkw.issue894.ExampleService.onConsumerExample(com.example.idkw.issue894.ConsumerDto)]
Bean [com.example.idkw.issue894.ExampleService@25a84167]; nested exception is org.springframework.messaging.converter.MessageConversionException: Cannot handle message; nested exception is org.springframework.messaging.converter.MessageConversionException: Cannot convert from [com.example.idkw.issue894.ProducerDto] to [com.example.idkw.issue894.ConsumerDto] for GenericMessage [payload=com.example.idkw.issue894.ProducerDto@77313cdf, headers={kafka_offset=0, kafka_consumer=org.apache.kafka.clients.consumer.KafkaConsumer@5cede6f9, kafka_timestampType=CREATE_TIME, kafka_receivedMessageKey=null, kafka_receivedPartitionId=0, kafka_receivedTopic=example, kafka_receivedTimestamp=1544037945634}], failedMessage=GenericMessage [payload=com.example.idkw.issue894.ProducerDto@77313cdf, headers={kafka_offset=0, kafka_consumer=org.apache.kafka.clients.consumer.KafkaConsumer@5cede6f9, kafka_timestampType=CREATE_TIME, kafka_receivedMessageKey=null, kafka_receivedPartitionId=0, kafka_receivedTopic=example, kafka_receivedTimestamp=1544037945634}]
	at org.springframework.kafka.listener.adapter.MessagingMessageListenerAdapter.invokeHandler(MessagingMessageListenerAdapter.java:292) ~[spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.adapter.RecordMessagingMessageListenerAdapter.onMessage(RecordMessagingMessageListenerAdapter.java:79) ~[spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.adapter.RecordMessagingMessageListenerAdapter.onMessage(RecordMessagingMessageListenerAdapter.java:50) ~[spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.doInvokeOnMessage(KafkaMessageListenerContainer.java:1207) [spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.invokeOnMessage(KafkaMessageListenerContainer.java:1200) [spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.doInvokeRecordListener(KafkaMessageListenerContainer.java:1161) [spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.doInvokeWithRecords(KafkaMessageListenerContainer.java:1142) [spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.invokeRecordListener(KafkaMessageListenerContainer.java:1083) [spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.invokeListener(KafkaMessageListenerContainer.java:911) [spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.pollAndInvoke(KafkaMessageListenerContainer.java:727) [spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.KafkaMessageListenerContainer$ListenerConsumer.run(KafkaMessageListenerContainer.java:676) [spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:511) [na:1.8.0_191]
	at java.util.concurrent.FutureTask.run$$$capture(FutureTask.java:266) [na:1.8.0_191]
	at java.util.concurrent.FutureTask.run(FutureTask.java) [na:1.8.0_191]
	at java.lang.Thread.run(Thread.java:748) [na:1.8.0_191]
Caused by: org.springframework.messaging.converter.MessageConversionException: Cannot handle message; nested exception is org.springframework.messaging.converter.MessageConversionException: Cannot convert from [com.example.idkw.issue894.ProducerDto] to [com.example.idkw.issue894.ConsumerDto] for GenericMessage [payload=com.example.idkw.issue894.ProducerDto@77313cdf, headers={kafka_offset=0, kafka_consumer=org.apache.kafka.clients.consumer.KafkaConsumer@5cede6f9, kafka_timestampType=CREATE_TIME, kafka_receivedMessageKey=null, kafka_receivedPartitionId=0, kafka_receivedTopic=example, kafka_receivedTimestamp=1544037945634}], failedMessage=GenericMessage [payload=com.example.idkw.issue894.ProducerDto@77313cdf, headers={kafka_offset=0, kafka_consumer=org.apache.kafka.clients.consumer.KafkaConsumer@5cede6f9, kafka_timestampType=CREATE_TIME, kafka_receivedMessageKey=null, kafka_receivedPartitionId=0, kafka_receivedTopic=example, kafka_receivedTimestamp=1544037945634}]
	... 15 common frames omitted
Caused by: org.springframework.messaging.converter.MessageConversionException: Cannot convert from [com.example.idkw.issue894.ProducerDto] to [com.example.idkw.issue894.ConsumerDto] for GenericMessage [payload=com.example.idkw.issue894.ProducerDto@77313cdf, headers={kafka_offset=0, kafka_consumer=org.apache.kafka.clients.consumer.KafkaConsumer@5cede6f9, kafka_timestampType=CREATE_TIME, kafka_receivedMessageKey=null, kafka_receivedPartitionId=0, kafka_receivedTopic=example, kafka_receivedTimestamp=1544037945634}]
	at org.springframework.messaging.handler.annotation.support.PayloadArgumentResolver.resolveArgument(PayloadArgumentResolver.java:144) ~[spring-messaging-5.1.3.RELEASE.jar:5.1.3.RELEASE]
	at org.springframework.messaging.handler.invocation.HandlerMethodArgumentResolverComposite.resolveArgument(HandlerMethodArgumentResolverComposite.java:117) ~[spring-messaging-5.1.3.RELEASE.jar:5.1.3.RELEASE]
	at org.springframework.messaging.handler.invocation.InvocableHandlerMethod.getMethodArgumentValues(InvocableHandlerMethod.java:147) ~[spring-messaging-5.1.3.RELEASE.jar:5.1.3.RELEASE]
	at org.springframework.messaging.handler.invocation.InvocableHandlerMethod.invoke(InvocableHandlerMethod.java:116) ~[spring-messaging-5.1.3.RELEASE.jar:5.1.3.RELEASE]
	at org.springframework.kafka.listener.adapter.HandlerAdapter.invoke(HandlerAdapter.java:48) ~[spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	at org.springframework.kafka.listener.adapter.MessagingMessageListenerAdapter.invokeHandler(MessagingMessageListenerAdapter.java:283) ~[spring-kafka-2.2.2.RELEASE.jar:2.2.2.RELEASE]
	... 14 common frames omitted

When the envent is sent into kafka, if you debug the class org.springframework.kafka.support.converter.AbstractJavaTypeMapper you should see that on line 142 the clazz parameter is of class com.example.idkw.issue894.ProducerDto with class loader RestartClassLoader whereas what was stored in the classIdMapping map is the same class but with the class loader Launcher$AppClassLoader

This class loader mismatch makes the mapper ignores the type mapping we've configured, and the ProducerDto event is serialized and sent to kafka without a proper type id header. Thus on the consumer side, it is not converted to a ConsumerDto.

This issue occurs when using spring-boot-devtools which uses two class loaders to implement the hot restart feature. The issue can be prevented by setting System.setProperty("spring.devtools.restart.enabled", "false"); as mentionned in the documentation but this then prevents the use of the dev tools restart feature.

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