Event Sourcing and CQRS
Event Sourcing is a pattern where instead of storing the current state of an entity, we store a series of events that describe changes to that entity over time. This allows us to reconstruct the current state of the entity by replaying the events.
For example, let's say we have an Order
entity. Instead of storing the current state of the order (e.g., order details, order status), we store a series of events that represent the changes to the order. Each event contains the type of change (e.g., OrderCreated
, OrderUpdated
, OrderCancelled
) and the relevant data (e.g., orderId
, orderDetails
).
1// Example of an Event
2Event event = new Event("OrderCreated", "orderId=123");
3
4// Store the event
5EventStore.storeEvent(event);
6
7// Retrieve all events for an entity
8List<Event> events = EventStore.getEvents("orderId=123");
9
10// Replay events to reconstruct the current state
11Order order = new Order();
12for (Event e : events) {
13 order.applyEvent(e);
14}
CQRS (Command Query Responsibility Segregation) is a pattern that complements Event Sourcing. It separates the write operations (commands) from the read operations (queries), allowing for different models and strategies to handle each operation.
In the write side of CQRS, we have command handlers that handle the creation, update, and deletion of entities. Each command handler receives a command (e.g., CreateOrderCommand
, UpdateOrderCommand
, DeleteOrderCommand
) and performs the necessary actions to handle the command.
1// Write Side
2OrderCommandHandler commandHandler = new OrderCommandHandler();
3commandHandler.createOrder("orderId=123");
In the read side of CQRS, we have query services that handle the retrieval of data for queries. Query services receive a query (e.g., GetOrderQuery
, SearchOrderQuery
) and return the relevant data (e.g., OrderDto
, OrderSearchResult
).
1// Read Side
2OrderQueryService queryService = new OrderQueryService();
3OrderDto orderDto = queryService.getOrder("orderId=123");
By combining Event Sourcing and CQRS, we can design scalable and flexible microservices architectures that are capable of handling a high volume of events and complex data operations.
xxxxxxxxxx
}
class Main {
public static void main(String[] args) {
// Event Sourcing
System.out.println("Event Sourcing is a pattern where instead of storing the current state of an entity, we store a series of events that describe changes to that entity over time.");
// Example of an Event
Event event = new Event("OrderCreated", "orderId=123");
// Store the event
EventStore.storeEvent(event);
// Retrieve all events for an entity
List<Event> events = EventStore.getEvents("orderId=123");
// Replay events to reconstruct the current state
Order order = new Order();
for (Event e : events) {
order.applyEvent(e);
}
// CQRS
System.out.println("CQRS stands for Command Query Responsibility Segregation. It separates the write operations (commands) from the read operations (queries).");
// Write Side
OrderCommandHandler commandHandler = new OrderCommandHandler();
commandHandler.createOrder("orderId=123");
// Read Side
OrderQueryService queryService = new OrderQueryService();