== What is this app? This is an example of a Spring Cloud Stream processor using Kafka Streams support. The example is based on the word count application from the https://github.com/confluentinc/examples/blob/3.2.x/kafka-streams/src/main/java/io/confluent/examples/streams/WordCountLambdaExample.java[reference documentation]. The application has two inputs one as a KStream and another one with the binding for a message channel. === Running the app: Go to the root of the repository and do: `docker-compose up -d` `./mvnw clean package` `java -jar target/kafka-streams-message-channel-0.0.1-SNAPSHOT.jar` Issue the following commands: `docker exec -it kafka-mc /opt/kafka/bin/kafka-console-producer.sh --broker-list 127.0.0.1:9092 --topic words` On another terminal: `docker exec -it kafka-mc /opt/kafka/bin/kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092 --topic counts` Enter some text in the console producer and watch the output in the console consumer. Also watch the console for logging statements from the regular sink StreamListener method. The default time window is configured for 5 seconds and you can change that using the following property. `spring.cloud.stream.kafka.streams.timeWindow.length` (value is expressed in milliseconds) In order to switch to a hopping window, you can use the `spring.cloud.stream.kafka.streams.timeWindow.advanceBy` (value in milliseconds). This will create an overlapped hopping windows depending on the value you provide. Here is an example with 2 overlapping windows (window length of 10 seconds and a hop (advance) by 5 seconds: `java -jar target/kafka-streams-message-channel-0.0.1-SNAPSHOT.jar --spring.cloud.stream.kafka.streams.timeWindow.length=10000 --spring.cloud.stream.kafka.streams.timeWindow.advanceBy=5000`