spring-cloud-stream

I'am trying to send a simple message using "spring cloud stream" to the rabbitmq. Basically code looks like this: @EnableBinding(Source.class) @SpringBootApplication public class SourceApplication { public static void main(String[] args) { SpringApplication.run(SourceApplication.class, args); } @Autowired Source source; @PostConstruct public void init() { source.send(MessageBuilder.withPayload("payload").build()); } } then I get this error message: org.springframework.messaging.MessageDeliveryException: Dispatcher has no subscribers for channel 'unknown.channel.name'.; nested exception is org

I'm using Spring Cloud Stream with Spring Boot. My application is very simple: ExampleService.class: @EnableBinding(Processor1.class) @Service public class ExampleService { @StreamListener(Processor1.INPUT) @SendTo(Processor1.OUTPUT) public String dequeue(String message){ System.out.println("New message: " + message); return message; } @SendTo(Processor1.OUTPUT) public String queue(String message){ return message; } } Procesor1.class: public interface Processor1 { String INPUT = "input1"; String OUTPUT = "output1"; @Input(Processor1.INPUT) SubscribableChannel input1(); @Output(Processor1

I am creating KTable processing data from KStream. But when I trigger a tombstone messages with key and null payload, it is not removing message from KTable. sample - public KStream<String, GenericRecord> processRecord(@Input(Channel.TEST) KStream<GenericRecord, GenericRecord> testStream, KTable<String, GenericRecord> table = testStream .map((genericRecord, genericRecord2) -> KeyValue.pair(genericRecord.get("field1") + "", genericRecord2)) .groupByKey() reduce((genericRecord, v1) -> v1, Materialized.as("test-store")); GenericRecord genericRecord = new GenericData.Record(getAvroSchema(keySchema

I am using Spring Cloud Stream, with RabbitMQ binder. It works great with byte[] payload and Java native serialization, but I need to work with JSON payload. Here's my processor class. @EnableBinding(Processor.class) public class MessageProcessor { @ServiceActivator(inputChannel = Processor.INPUT, outputChannel = Processor.OUTPUT) public OutputDto handleIncomingMessage(InputDto inputDto) { // Run some job. return new OutputDto(); } } InputDto and OutputDto are POJOs with Jackson annotations. How do I configure JSON conversion strategy? How should message headers look like to be accepted and

Based on what I've seen, creating a stream in Spring Cloud Dataflow (SCDF) will deploy the underlying applications, bind the communication service (like RabbitMQ), set the Spring Cloud Stream environment variables, and start the applications. This could all be done manually easily using a cf push command. Meanwhile, I've been running into some drawbacks with Spring Cloud Dataflow: SCDF Server is a memory hog on PCF (I have a stream with only 6 applications, and yet I'm needing about 10GB for the server) No flexibility on application naming, memory, instances, etc. (All the things that you

i want to create a common project (using spring cloud stream) to route messages to different (consumer) projects dynamically according to message content. (rabbitmq as the message broker) does spring cloud stream support it? if not, any proposed way to accomplish that? thx You can achieve that by setting spring.cloud.stream.dynamicDestinations property to a list of destination names (if you know the name beforehand) or keeping it as empty. The BinderAwareChannelResolver takes care of dynamically creating/binding the outbound channel for these dynamic destinations. There is an out of the box