The Unit of Work (UoW) pattern is a design pattern that allows managing multiple operations that should be treated as a single transaction.
In this blog post, we'll explore the Unit of Work pattern and how it can be implemented in Entity Framework Core (EF Core).
In EF Core, the Unit of Work pattern typically wraps the DbContext, providing an abstraction layer that coordinates the work of multiple repositories by collecting their operations into a single transaction.
Once all the operations are ready, the Unit of Work commits them to the database in one go, ensuring that either all operations succeeded or none of them.
This ensures data consistency.
The Unit of Work pattern is especially useful in scenarios where multiple operations must be completed together.
If you have multiple entities, you might have a repository per each entity.
Even if entities are related with each other - you shouldn't create a single monstrous repository.
Unit of Work pattern can handle data from multiple repositories ensuring that all changes are persisted together, avoiding partial updates that could leave your data in an inconsistent state.
This pattern also has a good scalability.
As your application grows and the number of repositories increases, the Unit of Work pattern helps manage the complexity by coordinating the operations across repositories, ensuring they all participate in the same transaction.
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When to use Unit of Work Pattern:
- Complex Transactions: when your application performs multiple operations on multiple entities that must be committed as a single transaction.
- Multiple Repositories: if your architecture involves multiple repositories, the Unit of Work pattern can help manage the coordination between them.
- Undo or Rollback Support: if there's a need to undo or roll back changes if something goes wrong during a transaction.
Implementing the Unit of Work Pattern in EF Core
Today I'll show you how to implement Unit Of Work pattern for a Shipping Application that is responsible for creating and updating customers, orders and shipments for ordered products.
This application has the following entities:
- Customers
- Orders, OrderItems
- Shipments, ShipmentItems
I am using Domain Driven Design practices for my entities.
Let's explore a few entities:
public class Customer
{
public Guid Id { get; private set; }
public string FirstName { get; private set; }
public string LastName { get; private set; }
public string Email { get; private set; }
public string PhoneNumber { get; private set; }
public IReadOnlyList<Order> Orders => _orders.AsReadOnly();
private readonly List<Order> _orders = [];
private Customer() { }
public static Customer Create(
string firstName,
string lastName,
string email,
string phoneNumber)
{
return new Customer
{
Id = Guid.NewGuid(),
FirstName = firstName,
LastName = lastName,
Email = email,
PhoneNumber = phoneNumber
};
}
public void AddOrder(Order order)
{
_orders.Add(order);
}
}
public class Order
{
public Guid Id { get; private set; }
public string OrderNumber { get; private set; }
public Guid CustomerId { get; private set; }
public Customer Customer { get; private set; }
public DateTime Date { get; private set; }
public IReadOnlyList<OrderItem> Items => _items.AsReadOnly();
private readonly List<OrderItem> _items = new();
private Order() { }
public static Order Create(string orderNumber, Customer customer, List<OrderItem> items)
{
return new Order
{
Id = Guid.NewGuid(),
OrderNumber = orderNumber,
Customer = customer,
CustomerId = customer.Id,
Date = DateTime.UtcNow
}.AddItems(items);
}
private Order AddItems(List<OrderItem> items)
{
_items.AddRange(items);
return this;
}
}
public class OrderItem
{
public Guid Id { get; private set; }
public string Product { get; private set; } = null!;
public int Quantity { get; private set; }
public Guid OrderId { get; private set; }
public Order Order { get; private set; } = null!;
private OrderItem() { }
public OrderItem(string productName, int quantity)
{
Id = Guid.NewGuid();
Product = productName;
Quantity = quantity;
}
}
In my projects, I like using a combination of Clean Architecture and Vertical Slices.
I like having a Domain and Infrastructure projects from the Clean Architecture and combine Application and Presentation Layer into Vertical Slices.
In some cases, I can even combine Infrastructure, Application and Presentation into Vertical Slices.
For these entities, I have the respecting repositories and their implementations:
public interface ICustomerRepository
{
Task AddAsync(Customer customer, CancellationToken cancellationToken);
Task UpdateAsync(Customer customer, CancellationToken cancellationToken);
Task<Customer?> GetByIdAsync(Guid customerId, CancellationToken cancellationToken);
Task<bool> ExistsByEmailAsync(string email, CancellationToken cancellationToken);
}
public interface IOrderRepository
{
Task AddAsync(Order order, CancellationToken cancellationToken);
Task UpdateAsync(Order order, CancellationToken cancellationToken);
Task<Order?> GetByNumberAsync(string orderNumber, CancellationToken cancellationToken);
Task<bool> ExistsByNumberAsync(string orderNumber, CancellationToken cancellationToken);
}
public interface IShipmentRepository
{
Task<bool> ExistsByOrderIdAsync(Guid orderId, CancellationToken cancellationToken);
Task AddAsync(Shipment shipment, CancellationToken cancellationToken);
Task<Shipment?> GetByNumberAsync(string shipmentNumber, CancellationToken cancellationToken);
}
I grouped together Order and OrderItems into a single repository, as well as Shipment and ShipmentItem.
However, all the entities are related together, and it will be a bad decision to create a single monstrous repository for all of them.
When creating an order, we also need to create a respective shipment, we need to have both operations atomic.
If we implement two database calls, we can end up with inconsistent data if an order is created in the database and shipment is not:
await orderRepository.AddAsync(order, cancellationToken);
await shipmentRepository.AddAsync(shipment, cancellationToken);
In such a case we can use IUnitOfWork
to solve our consistency problem.
Let's implement it.
First, we need to define IUnitOfWork
interface:
public interface IUnitOfWork
{
Task<int> SaveChangesAsync(CancellationToken cancellationToken = default);
}
You have 2 ways for implementing IUnitOfWork
:
- create an implementation that receives EF Core DbContext as a constructor parameter
- or directly use EF Core DbContext as it already implements the IUnitOfWork pattern out of the box
Both approaches are fine, and I like using the 2nd approach.
I inherit my ShippingDbContext from the IUnitOfWork
interface:
public class ShippingDbContext(DbContextOptions<ShippingDbContext> options)
: DbContext(options), IUnitOfWork
{
public DbSet<Shipment> Shipments { get; set; }
public DbSet<ShipmentItem> ShipmentItems { get; set; }
public DbSet<Order> Orders { get; set; }
public DbSet<Customer> Customers { get; set; }
protected override void OnModelCreating(ModelBuilder modelBuilder)
{
base.OnModelCreating(modelBuilder);
modelBuilder.HasDefaultSchema("shipping");
modelBuilder.ApplyConfigurationsFromAssembly(typeof(ShippingDbContext).Assembly);
}
}
The signature of IUnitOfWork.SaveChangesAsync
is identical to the existing DbContext.SaveChangesAsync
method from the base class.
So you don't need to do anything else in the DbContext.
You need to register the IUnitOfWork
interface and resolve the ShippingDbContext
from the current scope:
services.AddScoped<IUnitOfWork>(c => c.GetRequiredService<ShippingDbContext>());
Now let's rework the AddAsync
methods of all our repositories and remove the SaveChangesAsync
call to the DbContext:
public async Task AddAsync(Order order, CancellationToken cancellationToken)
{
await context.Set<Order>().AddAsync(order, cancellationToken);
}
The saving changes is delegated to our Unit of Work, so we can update our code as follows:
await orderRepository.AddAsync(order, cancellationToken);
await shipmentRepository.AddAsync(shipment, cancellationToken);
await unitOfWork.SaveChangesAsync(cancellationToken);
The main idea is that all repositories make corresponding changes in the EF Core's Change Tracker and UnitOfWork saves them all in a single atomic transaction.
Here is the full code that handles the order creation:
public async Task<ErrorOr<OrderResponse>> Handle(
CreateOrderCommand request,
CancellationToken cancellationToken)
{
var customer = await customerRepository.GetByIdAsync(request.CustomerId, cancellationToken);
if (customer is null)
{
logger.LogWarning("Customer with ID '{CustomerId}' does not exist", request.CustomerId);
return Error.NotFound($"Customer with ID '{request.CustomerId}' does not exist");
}
var order = Order.Create(
orderNumber: GenerateNumber(),
customer,
request.Items.Select(x => new OrderItem(x.ProductName, x.Quantity)).ToList()
);
var shipment = Shipment.Create(
number: GenerateNumber(),
orderId: order.Id,
address: request.ShippingAddress,
carrier: request.Carrier,
receiverEmail: request.ReceiverEmail,
items: []
);
var shipmentItems = CreateShipmentItems(order.Items, shipment.Id).ToList();
shipment.AddItems(shipmentItems);
await orderRepository.AddAsync(order, cancellationToken);
await shipmentRepository.AddAsync(shipment, cancellationToken);
await unitOfWork.SaveChangesAsync(cancellationToken);
logger.LogInformation("Created order: {@Order} with shipment: {@Shipment}", order, shipment);
var response = order.MapToResponse();
return response;
}
In our application, we could have a use case when a new customer makes on order on the website, and we need to:
- create customer
- create an order with order items
- create shipment with shipment items
in a single operation.
With a UnitOfWork pattern it will be as easy as the following:
await customerRepository.AddAsync(customer, cancellationToken);
await orderRepository.AddAsync(order, cancellationToken);
await shipmentRepository.AddAsync(shipment, cancellationToken);
await unitOfWork.SaveChangesAsync(cancellationToken);
Summary:
The Unit of Work pattern is a powerful design pattern that can greatly enhance the integrity, maintainability, and testability of your EF Core-based applications.
By treating a set of operations as a single transaction, it ensures data consistency and reduces the complexity of transaction management across multiple repositories.
Now you should have a clear understanding on how to implement the Unit of Work pattern in EF Core in your applications.
On my website: antondevtips.com I share .NET and Architecture best practices.
Subscribe to become a better developer.
Download the source code for this blog post for free.
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