== 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.
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