== What is this app?
This is an example of a Spring Cloud Stream processor using Kafka Streams support.
This example is a Spring Cloud Stream adaptation of this Kafka Streams sample: https://github.com/confluentinc/kafka-streams-examples/tree/4.0.0-post/src/main/java/io/confluent/examples/streams/interactivequeries/kafkamusic
This sample demonstrates the concept of interactive queries in kafka streams.
There is a REST service provided as part of the application that can be used to query the store interactively.
=== Running the app:
We will run 2 instances of the processor application to demonstrate that regardless of which instance hosts the keys, the REST endpoint will serve the requests.
For more information on how this is done, please take a look at the application code.
1. `docker-compose up -d`
2. Start the confluent schema registry: The following command is based on the confluent platform and assume that you are at the root of the confluent platform's root directory.
`./bin/schema-registry-start ./etc/schema-registry/schema-registry.properties`
3. Go to the root of the repository and do: `./mvnw clean package`
4. `java -jar target/kafka-streams-interactive-query-advanced-0.0.1-SNAPSHOT.jar`
5. On another terminal session:
`java -jar target/kafka-streams-interactive-query-advanced-0.0.1-SNAPSHOT.jar --server.port=8082 --spring.cloud.stream.kafka.streams.binder.configuration.application.server=localhost:8082'
5. Run the stand-alone `Producers` application to generate data and start the processing.
Keep it running for a while.
6. Go to the URL: https://localhost:8080/charts/top-five?genre=Punk
keep refreshing the URL and you will see the song play count information changes.
Take a look at the console sessions for the applications and you will see that it may not be the processor started on 8080 that serves this request.
7. Go to the URL: https://localhost:8082/charts/top-five?genre=Punk
Take a look at the console sessions for the applications and you will see that it may not be the processor started on 8082 that serves this request.
8. Once you are done with running the sample, stop the docker containers and the schema registry.
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