dhirajkukreja / Payment-Choreography-Saga

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Choreography Saga Pattern - Payment Microservices

Medium Article - Explanation In Depth

Implemented with

  • 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.

System Design

To start ZooKeeper and Kafka Brokers

cd docker
  • Run

docker-compose up

Alternatively run Kafka locally by download binaries

Kafka Binary Distribution Download.

Kafka Docker

  • 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

Topics

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

Run

  • 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

Data Flow

  • 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

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