content-type values are parsed as media types, e.g., application/json or text/plain;charset=UTF-8. MIME types are especially useful for indicating how to convert to String or byte[] content. Spring Cloud Stream also uses MIME type format to represent Java types, using the general type application/x-java-object with a type parameter. For example, application/x-java-object;type=java.util.Map or application/x-java-object;type=com.bar.Foo can be set as the content-type property of an input binding. In addition, Spring Cloud Stream provides custom MIME types, notably, application/x-spring-tuple to specify a Tuple.

The type conversions Spring Cloud Stream provides out of the box are summarized in the following table:

Conversion applies to payloads that require type conversion. For example, if a module produces an XML string with outputType=application/json, the payload will not be converted from XML to JSON. This is because the payload at the module’s output channel is already a String so no conversion will be applied at runtime.

While conversion is supported for both input and output channels, it is especially recommended to be used for the conversion of outbound messages. For the conversion of inbound messages, especially when the target is a POJO, the @StreamListener support will perform the conversion automatically.

Besides the conversions that it supports out of the box, Spring Cloud Stream also supports registering your own message conversion implementations. This allows you to send and receive data in a variety of custom formats, including binary, and associate them with specific contentTypes. In order to do so, you can create a class that extends AbstractMessageConverter

Spring Cloud Stream provides support for schema-based message converters through its spring-cloud-stream-schema module. Currently, the only serialization format supported out of the box is Apache Avro, with more formats to be added in future versions.

@EnableBinding(Sink.class)
@SpringBootApplication
public static class SinkApplication {

  ...

  @Bean
  public MessageConverter userMessageConverter() throws IOException {
    AvroSchemaMessageConverter avroSchemaMessageConverter {
      return new AvroSchemaMessageConverter(MimeType.valueOf("avro/bytes");
  }
}

@EnableBinding(Sink.class)
@SpringBootApplication
public static class SinkApplication {

  ...

  @Bean
  public MessageConverter userMessageConverter() throws IOException {
    AvroSchemaMessageConverter avroSchemaMessageConverter {
      MessageConverter converter = new AvroSchemaMessageConverter(MimeType.valueOf("avro/bytes");
      converter.setSchemaLocation("classpath:schemas/User.avro");
      return converter;
  }
}

Most serialization models, especially the ones that aim for portability across different platforms and languages, rely on a schema that describes how the data is serialized in the binary payload. In order to serialize the data and then to interpret it, both the sending and receiving sides must have access to a schema that describes the binary format. In certain cases, the schema can be inferred from the payload type on serialization, or from the target type on deserialization, but in a lot of cases applications benefit from having access to an explicit schema that describes the binary data format. A schema registry allows you to store schema information in a textual format (typically JSON) and makes that information accessible to various applications that need it to receive and send data in binary format. A schema is referenceable as a tuple consisting of:

@SpringBootApplication
@EnableSchemaRegistryServer
public class SchemaRegistryServerApplication {
	public static void main(String[] args) {
		SpringApplication.run(SchemaRegistryServerApplication.class, args);
	}
}

public interface SchemaRegistryClient {

	SchemaRegistrationResponse register(String subject, String format, String schema);

	String fetch(SchemaReference schemaReference);

	String fetch(Integer id);

}

  @EnableBinding(Sink.class)
  @SpringBootApplication
  @EnableSchemaRegistryClient
  public static class AvroSinkApplication {
    ...
  }

spring.cloud.stream.bindings.output.contentType=application/*+avro

The @StreamListener annotation provides a convenient way for converting incoming messages without the need to specify the content type of an input channel. During the dispatching process to methods annotated with @StreamListener, a conversion will be applied automatically if the argument requires it.

For example, let’s consider a message with the String content {"greeting":"Hello, world"} and a content-type header of application/json is received on the input channel. Let us consider the following application that receives it:

public class GreetingMessage {

  String greeting;

  public String getGreeting() {
    return greeting;
  }

  public void setGreeting(String greeting) {
    this.greeting = greeting;
  }
}

@EnableBinding(Sink.class)
@EnableAutoConfiguration
public static class GreetingSink {

		@StreamListener(Sink.INPUT)
		public void receive(Greeting greeting) {
			// handle Greeting
		}
	}

The argument of the method will be populated automatically with the POJO containing the unmarshalled form of the JSON String.