spring-cloud-stream-samples

== Spring Cloud Stream Multibinder Application with Different Systems



This example shows how to run a Spring Cloud Stream application with the same binder type configured for two separate Kafka clusters.





## Running the application



The following instructions assume that you are running Kafka as a Docker image.



* Go to the application root

* `docker-compose up -d`



This brings up two Kafka clusters in docker containers.

Local ports mapped for kafka are 9092 and 9093 (Zookeeper local parts mapped are 2181 and 2182).



* `./mvnw clean package`



The sample comes with a convenient test producer and consumer to see the processor in action.

After running the program, watch your console, every second some data is sent to Kafka cluster 1 and it is received through Kafka cluster 2.



To run the example, command line parameters for the Zookeeper ensembles and Kafka clusters must be provided, as in the following example:

```

java -jar target/multibinder-differentsystems-0.0.1-SNAPSHOT.jar --kafkaBroker1=localhost:9092 --zk1=localhost:2181 --kafkaBroker2=localhost:9093 --zk2=localhost:2182

```



Alternatively, the default values of `localhost:9092` and `localhost:2181` can be provided for both clusters.



Assuming you are running two dockerized Kafka clusters as above.



Issue the following commands:



`docker exec -it kafka-multibinder-1 /opt/kafka/bin/kafka-console-producer.sh --broker-list 127.0.0.1:9092 --topic dataIn`



On another terminal:



`docker exec -it kafka-multibinder-2 /opt/kafka/bin/kafka-console-consumer.sh --bootstrap-server 127.0.0.1:9093 --topic dataOut`



Enter some text on the first one and the same text appears on the second one.