spring-cloud-stream

来源： https://stackoverflow.com/questions/64652314/fail-to-setup-multiple-bindings-to-the-same-destination-and-group-on-the-consume

来源： https://stackoverflow.com/questions/64669208/spring-cloud-stream-dependency-issue

来源： https://stackoverflow.com/questions/62641008/how-to-configure-spring-cloud-streambridge-to-produce-avro

来源： https://stackoverflow.com/questions/63779394/programmatic-way-to-read-message-using-spring-cloud-stream-kafka

来源： https://stackoverflow.com/questions/63211414/spring-cloud-dataflow-does-not-flow

来源： https://stackoverflow.com/questions/63211414/spring-cloud-dataflow-does-not-flow

来源： https://stackoverflow.com/questions/63211414/spring-cloud-dataflow-does-not-flow

问题 I'm trying to expose Spring Boot actuator endpoint for my binding configuration. My app is quite simple just with couple of KStream bindings. It is written in functional way without any "binding" annotations like @EnableBinding or @StreamListener . It is up and running and when I access /actuator/bindings it crashes with following exception: Binding implementation `org.springframework.cloud.stream.binder.DefaultBinding` must implement this operation before it is called (through reference

问题 I'm trying to expose Spring Boot actuator endpoint for my binding configuration. My app is quite simple just with couple of KStream bindings. It is written in functional way without any "binding" annotations like @EnableBinding or @StreamListener . It is up and running and when I access /actuator/bindings it crashes with following exception: Binding implementation `org.springframework.cloud.stream.binder.DefaultBinding` must implement this operation before it is called (through reference

问题 I am working on Kafka Streams using Spring Cloud Stream. In the message processing application, there may be a chance that it will produce an error. So the message should not be commited and retried again. My application method - @Bean public Function<KStream<Object, String>, KStream<String, Long>> process() { return (input) -> { KStream<Object, String> kt = input.flatMapValues(v -> Arrays.asList(v.toUpperCase().split("\\W+"))); KGroupedStream<String, String> kgt =kt.map((k, v) -> new