Overview of C# CQRS (Command Query Responsibility Segregation)
CQRS (Command Query Responsibility Segregation) is a software architectural pattern that separates the handling of read (query) and write (command) operations for a data store, leading to optimised and decoupled solutions. In the context of C#, implementing CQRS often involves leveraging the language's object-oriented features, libraries, and frameworks like ASP.NET Core.
Core Concepts of CQRS
- Segregation of Commands and Queries:
- Commands: Modify the application's state (e.g., creating, updating, or deleting data).
- Queries: Retrieve data without modifying it.
Each of these operations typically has its model and pathway in the system, avoiding a single model or service trying to do both.
- Separate Models for Read and Write:
- Write Model: Handles the domain logic and is responsible for validating and processing commands.
- Read Model: Focuses on returning data optimised for client needs, often through simpler, denormalised models.
- Event Sourcing (Optional):
- CQRS is often used alongside event sourcing, representing state changes as events stored in an event store. The system's current state can be reconstructed from these events.
- Scalability:
- By separating the read and write operations, each side can be scaled independently, optimising performance and resource usage.
Benefits of CQRS in C#
- Clear Separation of Concerns:
- Improves maintainability and reduces complexity by decoupling the read and write responsibilities.
- Performance Optimisation:
- Queries can be optimised independently by leveraging caching, denormalised tables, or database views.
- Flexibility for Complex Domains:
- CQRS shines in systems with complex business rules or scalability requirements, allowing each concern to evolve independently.
- Enhanced Testing:
- Commands and queries are independently testable due to their separation.
Implementation in C#
1. Command Implementation
A command represents an intent to change the state. In C#, it is usually a simple class:
public class CreateOrderCommand
{
public Guid OrderId { get; set; }
public string CustomerName { get; set; }
public List<OrderItem> Items { get; set; }
}
Command Handlers process commands:
public class CreateOrderCommandHandler : ICommandHandler<CreateOrderCommand>
{
private readonly IOrderRepository _orderRepository;
public CreateOrderCommandHandler(IOrderRepository orderRepository)
{
_orderRepository = orderRepository;
}
public async Task Handle(CreateOrderCommand command)
{
var order = new Order(command.OrderId, command.CustomerName, command.Items);
await _orderRepository.AddAsync(order);
}
}
2. Query Implementation
Queries retrieve data without modifying state. Similar to commands, they are represented by simple classes:
public class GetOrderByIdQuery
{
public Guid OrderId { get; set; }
}
Query Handlers process queries:
public class GetOrderByIdQueryHandler : IQueryHandler<GetOrderByIdQuery, OrderDto>
{
private readonly IOrderReadRepository _readRepository;
public GetOrderByIdQueryHandler(IOrderReadRepository readRepository)
{
_readRepository = readRepository;
}
public async Task<OrderDto> Handle(GetOrderByIdQuery query)
{
return await _readRepository.GetOrderByIdAsync(query.OrderId);
}
}
3. MediatR for CQRS (optional)
Using libraries like MediatR simplifies CQRS by abstracting the handler registration and dispatching:
- Command/Query Dispatching:
· public class OrdersController : ControllerBase
· {
· private readonly IMediator _mediator;
·
· public OrdersController(IMediator mediator)
· {
· _mediator = mediator;
· }
·
· [HttpPost]
· public async Task<IActionResult> CreateOrder(CreateOrderCommand command)
· {
· await _mediator.Send(command);
· return Ok();
· }
·
· [HttpGet("{id}")]
· public async Task<ActionResult<OrderDto>> GetOrderById(Guid id)
· {
· return Ok(await _mediator.Send(new GetOrderByIdQuery { OrderId = id }));
· }
· }
Best Practices
- Keep Handlers Simple:
- Avoid mixing business logic in handlers. Delegate complex logic to domain services or entities.
- Use Dependency Injection:
- Leverage DI in ASP.NET Core to manage services and repositories in handlers.
- Optimise Read Models:
- Tailor read models to client requirements, ensuring they efficiently return the data in the desired format.
- Consider Eventual Consistency:
- Be mindful that in distributed systems, read and write models might not always be immediately synchronised.
- Logging and Monitoring:
- Track command and query execution for better debugging and monitoring.
When to Use CQRS
- Suitable for complex domains with high scalability or performance requirements.
- Ideal for systems with distinct read and write workloads.
- Overhead may not be justified for simple CRUD applications.
By using CQRS effectively in C#, developers can build scalable, maintainable, and optimised systems that cater to complex domain logic and high-performance requirements.