dhirajkukreja / payment-choreography-saga Goto Github PK

• Spring Cloud Stream with Apache Kafka Binder
• Reactive Spring
• Using reactive programming to return Flux from the blocking JDBC API.

Operations persising to the database have a dedicated, well-tuned thread pool as it can isolate blocking IO calls separately from the application.

cd docker

• Run

docker-compose up

• Once the Kafka Docker containers are running, go onto localhost:9000 and create a cluster Click 'Add Cluster' with any name e.g. payment-saga.
• Under Cluster Zookeeper Hosts enter zoo:2181

• There are 3 topics which the Order and Payment Services use; these must be created before starting both applications.

- orders
- payments
- transactions

• Run the Order Service and the Payment Service application
• Make a POST Request to localhost:9192/orders/create with request body:

{
    "userId": 1,
    "productId": 1
}

• Make a GET Request to localhost:9192/orders/all and see the order status updated

• The Order Service application takes in an Order as a request, which creates and sends an OrderPurchaseEvent to the Kafka topic orders which is processed by OrderPurchaseEventHandler in the payment service.
• OrderPurchaseEventHandler processes the event and calculates if user has enough credit. If so, it sets the generated PaymentEvent status to APPROVED, otherwise DECLINED.
• A PaymentEvent is emitted to the Kafka topic payments, which the PaymentEventHandler in the Payment Service application listens for.
• If the PaymentEvent status is APPROVED, it saves the transaction in the TransactionRepository. A TransactionEvent is emitted to the transactions topic.
• The TransactionEventConsumer reads this in the order service, if successful, the OrderRepository saves this as ORDER_COMPLETED, else ORDER_FAILED