0Pricing
Clean Architecture & Design Patterns in Practice · Leçon

Architecture propre pilotée par les événements

Intégrez des modèles pilotés par les événements à l'architecture propre et utilisez les événements du domaine pour renforcer le découplage et la capacité de montée en charge.

Architecture propre pilotée par les événements est une leçon Clean Architecture & Design Patterns in Practice gratuite sur CoddyKit. Ceci est la leçon 2 sur 4. Tu peux lire la leçon complète ci-dessous gratuitement — puis la pratiquer en direct dans le navigateur avec un éditeur de code intégré et un tuteur IA 24/7. Elle fait partie du parcours d'apprentissage Clean Architecture & Design Patterns in Practice, et ta progression se synchronise sur le web et l'application CoddyKit. Le cours Clean Architecture & Design Patterns in Practice comprend 4 leçons au total.

Certaines parties de cette leçon n'ont pas encore été traduites et s'affichent en anglais.

Intro to Event-Driven Clean Arch

Welcome to Event-Driven Clean Architecture! In complex systems, parts often need to react to things happening elsewhere without being tightly coupled.

This lesson explores how to integrate event-driven patterns into your Clean Architecture, using domain events to enhance decoupling and scalability, while strictly adhering to the Dependency Rule.

What are Domain Events?

A Domain Event is something that happened in the domain that domain experts care about. It's an immutable fact, a record of an occurrence, like 'Order Placed' or 'User Registered'.

  • They represent a change in the state of the domain.
  • They are typically named in the past tense (e.g., OrderPlaced).
  • They should be simple data structures, containing only relevant information about the event.

Events and the Dependency Rule

In Clean Architecture, the Dependency Rule states that dependencies must flow inwards. Domain events fit perfectly:

  • Entities can raise events, but don't know who handles them.
  • Use Cases orchestrate entities and can publish events after an operation.
  • Interface Adapters (e.g., presenters, external service gateways) can subscribe to and handle events from inner layers.

This maintains strict separation, as inner layers remain unaware of outer layer specifics.

Implementing a Domain Event

A domain event is essentially a data transfer object (DTO) that carries information about what happened. It's good practice to have a common interface for all domain events.

Here's a simple Java interface:

public interface DomainEvent {
  long occurredOn();
}

Code: Concrete Domain Event

Let's create a specific domain event: OrderPlacedEvent. It holds the orderId and the timestamp of when it occurred.

Try running this simple definition:

public class OrderPlacedEvent implements DomainEvent {
  private final String orderId;
  private final long occurredOn;

  public OrderPlacedEvent(String orderId) {
    this.orderId = orderId;
    this.occurredOn = System.currentTimeMillis();
  }

  public String getOrderId() {
    return orderId;
  }

  @Override
  public long occurredOn() {
    return occurredOn;
  }

  public static void main(String[] args) {
    OrderPlacedEvent event = new OrderPlacedEvent("ORD-123");
    System.out.println("Order event for: " + event.getOrderId());
  }
}

The Event Publisher

To publish events, we need an Event Publisher (also known as an Event Dispatcher or Event Bus). This component takes a domain event and dispatches it to all registered handlers.

It acts as a mediator, decoupling the event source from its consumers. The Use Case will depend on this publisher interface, not on specific handlers.

Code: Event Publisher Interface

Here's an interface for our EventPublisher. We'll also need a way for handlers to register themselves.

public interface EventPublisher {
  void publish(DomainEvent event);
  <T extends DomainEvent> void subscribe(Class<T> eventType, EventHandler<T> handler);
}

Code: In-Memory Event Publisher

A simple in-memory implementation for demonstration purposes. In a real application, this might use a message queue (e.g., Kafka, RabbitMQ) for persistence and distribution.

Run this to see the basic publisher in action:

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

public interface DomainEvent { long occurredOn(); }
public interface EventHandler<T extends DomainEvent> { void handle(T event); }

public class OrderPlacedEvent implements DomainEvent {
  private final String orderId; private final long occurredOn;
  public OrderPlacedEvent(String orderId) {
    this.orderId = orderId; this.occurredOn = System.currentTimeMillis();
  }
  public String getOrderId() { return orderId; }
  @Override public long occurredOn() { return occurredOn; }
}

public class SimpleEventPublisher implements EventPublisher {
  private final Map<Class<? extends DomainEvent>, List<EventHandler<?>>> subscribers = new HashMap<>();

  @Override
  public void publish(DomainEvent event) {
    List<EventHandler<?>> handlers = subscribers.get(event.getClass());
    if (handlers != null) {
      for (EventHandler handler : handlers) {
        // Unchecked cast is safe due to type checking during subscription
        ((EventHandler<DomainEvent>) handler).handle(event);
      }
    }
  }

  @Override
  public <T extends DomainEvent> void subscribe(Class<T> eventType, EventHandler<T> handler) {
    subscribers.computeIfAbsent(eventType, k -> new ArrayList<>()).add(handler);
  }

  public static void main(String[] args) {
    SimpleEventPublisher publisher = new SimpleEventPublisher();
    publisher.subscribe(OrderPlacedEvent.class, event -> {
      System.out.println("Handler 1: Order " + event.getOrderId() + " placed!");
    });
    publisher.subscribe(OrderPlacedEvent.class, event -> {
      System.out.println("Handler 2: Notifying ops for order " + event.getOrderId());
    });

    OrderPlacedEvent event = new OrderPlacedEvent("DEMO-456");
    publisher.publish(event);
  }
}

Integrating Use Cases & Handlers

Now, let's see how a Use Case publishes an event and how an Event Handler (residing in, for example, the Interface Adapters layer) reacts to it. The Use Case remains decoupled from the handler.

This design allows new handlers to be added without modifying the Use Case.

Code: Full Event-Driven Flow

This example demonstrates a PlaceOrderUseCase publishing an OrderPlacedEvent, which is then handled by an OrderEmailNotifier.

Notice how PlaceOrderUseCase only depends on EventPublisher, not the specific notifier.

import java.util.ArrayList;
import java.util.HashMap;
import java.util.List;
import java.util.Map;

// Domain Layer Interfaces & Classes
interface DomainEvent { long occurredOn(); }
class OrderPlacedEvent implements DomainEvent {
  private final String orderId; private final long occurredOn;
  public OrderPlacedEvent(String orderId) {
    this.orderId = orderId; this.occurredOn = System.currentTimeMillis();
  }
  public String getOrderId() { return orderId; }
  @Override public long occurredOn() { return occurredOn; }
}

// Application Layer Interfaces & Classes
interface EventPublisher {
  void publish(DomainEvent event);
  <T extends DomainEvent> void subscribe(Class<T> eventType, EventHandler<T> handler);
}
interface EventHandler<T extends DomainEvent> { void handle(T event); }

// Use Case (Application Layer)
class PlaceOrderUseCase {
  private final EventPublisher eventPublisher;

  public PlaceOrderUseCase(EventPublisher eventPublisher) {
    this.eventPublisher = eventPublisher;
  }

  public void execute(String orderDetails) {
    // Simulate order creation logic
    String newOrderId = "ORD-" + System.nanoTime();
    System.out.println("Order " + newOrderId + " created with details: " + orderDetails);

    // Publish domain event
    eventPublisher.publish(new OrderPlacedEvent(newOrderId));
  }
}

// Infrastructure/Interface Adapters Layer Implementation
class SimpleEventPublisher implements EventPublisher {
  private final Map<Class<? extends DomainEvent>, List<EventHandler<?>>> subscribers = new HashMap<>();

  @Override
  public void publish(DomainEvent event) {
    List<EventHandler<?>> handlers = subscribers.get(event.getClass());
    if (handlers != null) {
      for (EventHandler handler : handlers) {
        ((EventHandler<DomainEvent>) handler).handle(event);
      }
    }
  }

  @Override
  public <T extends DomainEvent> void subscribe(Class<T> eventType, EventHandler<T> handler) {
    subscribers.computeIfAbsent(eventType, k -> new ArrayList<>()).add(handler);
  }
}

class OrderEmailNotifier implements EventHandler<OrderPlacedEvent> {
  @Override
  public void handle(OrderPlacedEvent event) {
    System.out.println("Email Notifier: Sending email for order " + event.getOrderId());
  }
}

class InventoryUpdater implements EventHandler<OrderPlacedEvent> {
  @Override
  public void handle(OrderPlacedEvent event) {
    System.out.println("Inventory Updater: Updating inventory for order " + event.getOrderId());
  }
}

public class Main {
  public static void main(String[] args) {
    SimpleEventPublisher publisher = new SimpleEventPublisher();

    // Register handlers
    publisher.subscribe(OrderPlacedEvent.class, new OrderEmailNotifier());
    publisher.subscribe(OrderPlacedEvent.class, new InventoryUpdater());

    // Create use case with publisher dependency
    PlaceOrderUseCase placeOrderUseCase = new PlaceOrderUseCase(publisher);

    // Execute use case, which publishes the event
    placeOrderUseCase.execute("Laptop, Quantity: 1");
    placeOrderUseCase.execute("Keyboard, Quantity: 2");
  }
}

Quick Check: Domain Events

When integrating domain events into Clean Architecture, what is the primary benefit of having Use Cases publish events rather than directly calling other services?

Recap: Event-Driven Clean Arch

In this lesson, we explored Event-Driven Clean Architecture. You learned:

  • Domain Events are immutable facts representing significant occurrences.
  • They enable decoupling, allowing Use Cases to publish events without knowing their subscribers.
  • Event Publishers mediate event dispatch to Event Handlers.
  • This pattern supports scalability and extensibility, making systems easier to evolve while adhering to the Dependency Rule.

By leveraging domain events, your Clean Architecture can become even more robust and adaptable.

Questions Fréquemment Posées

La leçon « Architecture propre pilotée par les événements » est-elle gratuite ?

Oui — le texte complet de « Architecture propre pilotée par les événements » est gratuit à lire ici sur le web. Pour la pratiquer de manière interactive (un éditeur de code intégré et un tuteur IA 24/7) et déverrouiller le reste du cours Clean Architecture & Design Patterns in Practice, passe à CoddyKit PRO. Le cours Clean Architecture & Design Patterns in Practice comprend 4 leçons au total.

Qu'est-ce que j'apprendrai dans « Architecture propre pilotée par les événements » ?

Intégrez des modèles pilotés par les événements à l'architecture propre et utilisez les événements du domaine pour renforcer le découplage et la capacité de montée en charge. Tu pratiques Clean Architecture & Design Patterns in Practice avec du code pratique que tu exécutes directement dans le navigateur, et un tuteur IA 24/7 répond à tes questions au fur et à mesure que tu avances dans la leçon.

Dois-je avoir de l'expérience pour commencer Clean Architecture & Design Patterns in Practice ?

Aucune expérience préalable n'est requise. Clean Architecture & Design Patterns in Practice sur CoddyKit est structuré pour les débutants jusqu'aux apprenants avancés, donc tu peux commencer ici ou depuis le début et avancer à ton rythme. Ceci est la leçon 2 sur 4.

Combien de temps prend la leçon « Architecture propre pilotée par les événements » ?

La plupart des leçons CoddyKit prennent environ 5–10 minutes. Chacune est courte et interactive, tu progresses régulièrement et tu repiques exactement où tu t'es arrêté sur le web et l'app.

Peux-tu écrire et exécuter du code dans cette leçon Clean Architecture & Design Patterns in Practice ?

Oui. Chaque leçon Clean Architecture & Design Patterns in Practice inclut un éditeur de code intégré, tu écris et exécutes du vrai code directement dans ton navigateur et tu reçois des retours IA instantanés — aucune configuration locale requise.

Toutes les leçons de ce cours

  1. Gérer les préoccupations transversales
  2. Architecture propre pilotée par les événements
  3. Architecture propre dans les microservices
  4. CQRS au sein d’une architecture propre
← Retour à Clean Architecture & Design Patterns in Practice