eventuate-tram-sagas

= An Eventuate project

image::https://eventuate.io/i/logo.gif[]

This project is part of http://eventuate.io[Eventuate], which is a microservices collaboration platform.

= Eventuate Tram Sagas

[cols="5%,20%a"] [cols="a,a"] |=== | Spring/Micronaut | image::https://img.shields.io/maven-central/v/io.eventuate.tram.sagas/eventuate-tram-sagas-bom[link="https://search.maven.org/search?q=io.eventuate.tram.sagas"] | Quarkus | image::https://img.shields.io/maven-central/v/io.eventuate.tram.sagas/eventuate-tram-sagas-quarkus-bom[link="https://search.maven.org/search?q=io.eventuate.tram.sagas"] |===

The Eventuate Tram Sagas framework is a saga framework for Java microservices that use JDBC/JPA and Spring Boot/Micronaut.

A major challenge when implementing business applications using the microservice architecture is maintaining data consistency across services. Each service has its own private data and you can't use distributed transactions. The solution is to use sagas.

A http://microservices.io/patterns/data/saga.html[saga] maintains consistency across multiple microservices by using a series of a local transactions that are coordinated using messages or events. A saga consists of a series of steps. Each step consists of either transaction, a compensating transaction or both. Each transaction is the invocation of a saga participant using a command message. A saga executes the forward transactions sequentially. If one of them fails then the saga executes the compensating transactions in reverse order to rollback the saga.

Eventuate Tram Sagas is a saga orchestration framework for Spring Boot, Micronaut and Quarkus (using https://github.com/eventuate-tram/eventuate-tram-sagas-quarkus[Eventuate Tram for Quarkus]) applications. It is built on the https://github.com/eventuate-tram/eventuate-tram-core[Eventuate Tram framework], which enables an application to atomically update a database and publish a message without using JTA. Eventuate Tram Sagas is described in more detail in my book https://www.manning.com/books/microservice-patterns[Microservice Patterns].

== Learn more

Presentations, videos and articles:

• Article https://chrisrichardson.net/post/sagas/2019/12/12/developing-sagas-part-4.html[Managing data consistency in a microservice architecture using Sagas - Implementing an orchestration-based saga]
• Slides and video https://microservices.io/microservices/sagas/2019/07/09/microcph-sagas.html[MicroCPH - Managing data consistency in a microservice architecture using Sagas ]

Example applications:

• https://github.com/eventuate-tram/eventuate-tram-sagas-examples-customers-and-orders[Spring Boot Customers and Orders]
• https://github.com/eventuate-tram-examples/eventuate-tram-examples-micronaut-customers-and-orders[Micronaut Customers and Orders]
• https://github.com/microservice-patterns/ftgo-application[FTGO Example application for Microservice Patterns book]

== Writing an orchestrator

The https://github.com/eventuate-tram/eventuate-tram-sagas-examples-customers-and-orders[Customers and Orders] uses a saga to create an Order in the Order Service and reserve credit in the Customer Service. The CreateOrderSaga consists of the following three steps:

1. The CreateOrderSaga is instantiated after the Order is created. Consequently, the first step is simply a compensating transaction, which is executed in the credit cannot be reserved to reject the order.
2. Requests the CustomerService to reserve credit for the order. If the reservation is success, the next step is executed. Otherwise, the compensating transactions are executed to roll back the saga.
3. Approves the order, if the credit is reserved.

Here is part of the definition of CreateOrderSaga.

…

The reserveCredit() creates a message to send to the Customer Service to reserve credit.

== Creating an saga orchestrator

The OrderService creates the saga:

public class OrderService {

  @Autowired
  private SagaManager createOrderSagaManager;

  @Autowired
  private OrderRepository orderRepository;

  @Transactional
  public Order createOrder(OrderDetails orderDetails) {
    ResultWithEvents oe = Order.createOrder(orderDetails);
    Order order = oe.result;
    orderRepository.save(order);
    CreateOrderSagaData data = new CreateOrderSagaData(order.getId(), orderDetails);
    createOrderSagaManager.create(data, Order.class, order.getId());
    return order;
  }

}

== Writing a saga participant

Here is the CustomerCommandHandler, which handles the command to reserve credit:

public class CustomerCommandHandler {

  @Autowired
  private CustomerRepository customerRepository;

  public CommandHandlers commandHandlerDefinitions() {
    return SagaCommandHandlersBuilder
            .fromChannel("customerService")
            .onMessage(ReserveCreditCommand.class, this::reserveCredit)
            .build();
  }

  public Message reserveCredit(CommandMessage cm) {
     ...
  }
  ...

== Maven/Gradle artifacts

The artifacts are in https://bintray.com/eventuateio-oss/eventuate-maven-release/eventuate-tram-sagas[JCenter]. The latest version is:

[cols="5%,20%a"] |=== | Release | image::https://api.bintray.com/packages/eventuateio-oss/eventuate-maven-release/eventuate-tram-sagas/images/download.svg[link="https://bintray.com/eventuateio-oss/eventuate-maven-release/eventuate-tram-sagas/_latestVersion"] | RC | image::https://api.bintray.com/packages/eventuateio-oss/eventuate-maven-rc/eventuate-tram-sagas/images/download.svg[link="https://bintray.com/eventuateio-oss/eventuate-maven-rc/eventuate-tram-sagas/_latestVersion"] |===

If you are writing a Saga orchestrator add this dependency to your project:

• io.eventuate.tram.sagas:eventuate-tram-sagas-orchestration-simple-dsl:$eventuateTramSagasVersion

If you are writing a saga participant then add this dependency:

• io.eventuate.tram.sagas:eventuate-jpa-sagas-framework:$eventuateTramSagasVersion

You must also include one of the https://github.com/eventuate-tram/eventuate-tram-core[Eventuate Tram] 'implementation' artifacts:

• io.eventuate.tram.core:eventuate-tram-jdbc-kafka:$eventuateTramVersion - JDBC database and Apache Kafka message broker
• io.eventuate.tram.core:eventuate-tram-in-memory:$eventuateTramVersion - In-memory JDBC database and in-memory messaging for testing

== Running the CDC service

In addition to a database and message broker, you will need to run the Eventuate Tram CDC service. It reads messages and events inserted into the database and publishes them to Apache Kafka. It is written using Spring Boot. The easiest way to run this service during development is to use Docker Compose. The https://github.com/eventuate-tram/eventuate-tram-core-examples-basic[Eventuate Tram Code Basic examples] project has an example https://github.com/eventuate-tram/eventuate-tram-core-examples-basic/blob/master/docker-compose.yml[docker-compose.yml file].

== Contributing

Contributions are welcome.

Please sign a https://chrisrichardson.net/legal/[contributor license agreement].