This directory contains a set of demo around reactive in Quarkus with Kafka. It demonstrates the elasticity and resilience of the system.

mvn clean package

Install Kafka locally for the Kafka tools e.g.

brew install kafka

Run Kafka with:

docker-compose up

In case of previous run, you can clean the state with

docker-compose down
docker-compose rm

Then, create the orders topic with ./create-topics.sh

You need to run:

• the coffee shop service
• the HTTP barista
• the Kafka barista

Im 3 terminals:

cd coffeeshop-service
mvn compile quarkus:dev

cd barista-http
java -jar target/barista-http-1.0-SNAPSHOT-runner.jar

cd barista-kafka
mvn compile quarkus:dev

The first part of the demo shows HTTP interactions:

• Barista code: me.escoffier.quarkus.coffeeshop.BaristaResource
• CoffeeShop code: me.escoffier.quarkus.coffeeshop.CoffeeShopResource.http
• Generated client: me.escoffier.quarkus.coffeeshop.http.BaristaService

Order coffees by opening http://localhost:8080. Select the HTTP method.

Stop the HTTP Barista, you can't order coffee anymore.

• Barista code: me.escoffier.quarkus.coffeeshop.KafkaBarista: Read from orders, write to queue

• Bridge in the CoffeeShop: me.escoffier.quarkus.coffeeshop.messaging.CoffeeShopResource#messaging just enqueue the orders in a single thread (one counter)

• Get prepared beverages on me.escoffier.quarkus.coffeeshop.dashboard.BoardResource and send to SSE

• Open browser to http://localhost:8080/

• Order coffee with Order coffees by opening http://localhost:8080. Select the messaging method.

1. Stop the Kafka barista
2. Continue to enqueue order
3. On the dashboard, the orders are in the "IN QUEUE" state
4. Restart the barista
5. They are processed

1. Build barista-kafka with native image:

   mvn package -Pnative

2. Start a second barista with:

   ./barista-kafka/target/barista-kafka-1.0-SNAPSHOT-runner -Dquarkus.http.port=9999

3. Order more coffee

The dashboard shows that the load is dispatched among the baristas.