== 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]. It uses a single input and a single output. In essence, the application receives text messages from an input topic and computes word occurrence counts in a configurable time window and report that in an output topic. This sample uses lambda expressions and thus requires Java 8+. The sample uses a default timewindow of 30 seconds. === Running the app: Go to the root of the repository. `docker-compose up -d` `./mvnw clean package` `java -jar target/kafka-streams-word-count-0.0.1-SNAPSHOT.jar` Assuming you are running the dockerized Kafka cluster as above. Issue the following commands: `docker exec -it kafka-wordcount /opt/kafka/bin/kafka-console-producer.sh --broker-list 127.0.0.1:9092 --topic words` On another terminal: `docker exec -it kafka-wordcount /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. Once you are done, stop the Kafka cluster: `docker-compose down`