spring-cloud-stream

问题 I would like to know the exactly meaning of "concurrency" when using spring.cloud.stream.default.consumer.concurrency property. Documentation (https://docs.spring.io/spring-cloud-stream/docs/Chelsea.RELEASE/reference/html/_configuration_options.html) says "The concurrency of the inbound consumer" and this can be interpreted in several ways. What kind of thread executor is created behind the scenes? Thanks! 回答1: The semantics of concurrency is dependent on the actual binder implementation. For

问题 I use Spring Cloud Data Flow to set up a stream that read a CSV file, transform it using a custom processor and log it : stream create --name testsourcecsv --definition "file --mode=lines --directory=D:/toto/ --file.filename-pattern=adresses-28.csv --maxMessages=1000 | csvToMap --spring.cloud.stream.bindings.output.content-type=application/json | log --spring.cloud.stream.bindings.input.content-type=application/json" --deploy The file and csvToMap applications work fine, but in the log

问题 I have the following properties for my Spring Cloud Stream application that uses Kafka Streams Binder: spring.cloud.stream.bindings: windowStream-in-0: destination: input windowStream-out-0: destination: window1 hint1Stream-in-0: destination: window1 hint1Stream-out-0: destination: hints realityStream-in-0: destination: input realityStream-in-1: destination: window1 consumer: timestampExtractorBeanName: anotherTimestampExtractor realityStream-out-0: destination: hints countStream-in-0:

问题 I have the following properties for my Spring Cloud Stream application that uses Kafka Streams Binder: spring.cloud.stream.bindings: windowStream-in-0: destination: input windowStream-out-0: destination: window1 hint1Stream-in-0: destination: window1 hint1Stream-out-0: destination: hints realityStream-in-0: destination: input realityStream-in-1: destination: window1 consumer: timestampExtractorBeanName: anotherTimestampExtractor realityStream-out-0: destination: hints countStream-in-0:

问题 I am trying to create an aggregator wherein I listen for multiple records and consolidate them into one. After consolidation, I wait for a process event by joining a stream and aggregated application in listen() method. On arrival of the process event, some business logic is triggered. I have defined both aggregator and process listener in a single spring boot project. @Bean public Function<KStream<FormUUID, FormData>, KStream<UUID, Application>> process() { return formEvent -> formEvent

问题 I am trying to create an aggregator wherein I listen for multiple records and consolidate them into one. After consolidation, I wait for a process event by joining a stream and aggregated application in listen() method. On arrival of the process event, some business logic is triggered. I have defined both aggregator and process listener in a single spring boot project. @Bean public Function<KStream<FormUUID, FormData>, KStream<UUID, Application>> process() { return formEvent -> formEvent

问题 Using Kafka as a messaging system in a microservice architecture what are the benefits of using spring-kafka vs. spring-cloud-stream + spring-cloud-starter-stream-kafka ? The spring cloud stream framework supports more messaging systems and has therefore a more modular design. But what about the functionality ? Is there a gap between the functionality of spring-kafka and spring-cloud-stream + spring-cloud-starter-stream-kafka ? Which API is better designed? Looking forward to read about your

问题 I am looking for a way to intercept the @Input annotation and add an interceptor for my Subscribable Channel Something like below @Around("@annotation(org.springframework.cloud.stream.annotation.Input)") public Object interceptInput(ProceedingJoinPoint joinPoint) throws Throwable { LOG.debug("Intercepted @Input from method : {}", joinPoint.getSignature()); Object returnValue = null; try { returnValue = joinPoint.proceed(); // add the interceptor for input channel } catch (Exception e) { LOG

问题 I have a Service that is Producing and Consuming messages from different Spring Cloud Stream Channels (bound to EventHub/Kafka topics). There are several such Services which are setup similarly. The configuration looks like below public interface MessageStreams { String WORKSPACE = "workspace"; String UPLOADNOTIFICATION = "uploadnotification"; String BLOBNOTIFICATION = "blobnotification"; String INGESTIONSTATUS = "ingestionstatusproducer"; @Input(WORKSPACE) SubscribableChannel

问题 I am working on Spring Cloud Stream Apache Kafka example. I am developing code taking reference from : https://www.youtube.com/watch?v=YPDzcmqwCNo. org.springframework.messaging.MessageDeliveryException: failed to send Message to channel 'pvout'; nested exception is org.springframework.messaging.converter.MessageConversionException: Could not write JSON: No serializer found for class org.springframework.core.convert.support.DefaultConversionService and no properties discovered to create