== What is this app? This is an example of a Spring Cloud Stream processor using Kafka Streams support. The application uses two inputs - one KStream for user-clicks and a GlobalKTable for user-regions. Then it joins the information from stream to table to find out total clicks per region. You could compare the this with ktable join sample. === Running the app: Go to the root of the repository. `docker-compose up -d` `./mvnw clean package` `java -jar target/kafka-streams-global-table-join-0.0.1-SNAPSHOT.jar` `docker exec -it kafka-join-1 /opt/kafka/bin/kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092 --topic user-regions --key-deserializer org.apache.kafka.common.serialization.StringDeserializer --value-deserializer org.apache.kafka.common.serialization.StringDeserializer --property print.key=true --property key.separator="-"` `docker exec -it kafka-join-1 /opt/kafka/bin/kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9092 --topic output-topic --key-deserializer org.apache.kafka.common.serialization.StringDeserializer --value-deserializer org.apache.kafka.common.serialization.LongDeserializer --property print.key=true --property key.separator="-"` Run the stand-alone `Producers` application to generate some data and watch the output on the console consumer above.