Event Sourcing and CQRS in a Mobile Client with .NET MAUI and LiteDB
π§© Event Sourcing and CQRS in a Mobile Client
Using .NET MAUI and LiteDB for Offline-First Architectures
Modern mobile applications are becoming increasingly sophisticated. Users expect:
- β‘ Instant UI updates
- πΆ Offline support
- π Reliable synchronization
- π§ State consistency across sessions Traditional CRUD architectures often struggle to deliver these requirements cleanlyβespecially in offline-first mobile environments. Thatβs where CQRS and Event Sourcing become incredibly powerful. In this guide, weβll explore how to implement:
- π§© CQRS (Command Query Responsibility Segregation)
- π Event Sourcing
- πΎ Local persistence with LiteDB
- π± Integration inside .NET MAUI The goal is not just architectural eleganceβitβs building resilient mobile applications.
π§ Why Event Sourcing on Mobile?
Most mobile apps store only the current state:
Balance = 150
With Event Sourcing, instead of storing state directly, we store events:
MoneyDeposited(100)
MoneyDeposited(50)
π Current state becomes the result of replaying events.
β‘ Benefits for Mobile Apps
β Offline-First Support
Events can be queued locally and synced later.
β Full Audit History
Every state change is preserved π
β Easier Conflict Resolution
Events are easier to merge than raw state.
β Reactive UI
UI updates naturally from event streams.
π§© Understanding CQRS
CQRS separates:
- βοΈ Commands (write operations)
- π Queries (read operations)
ποΈ Architecture
UI
β
Commands β Event Store β Projections
β
Queries β Read Models
π§ Why CQRS Fits Mobile So Well
Mobile apps often need:
- Optimized local reads β‘
- Background sync π
- Cached projections πΎ CQRS makes this clean and scalable.
π¦ Why LiteDB?
LiteDB is ideal because:
- Single-file embedded DB π
- No server required
- Very lightweight
- Works great in MAUI
π§ Step 1: Install LiteDB
dotnet add package LiteDB
π§© Step 2: Define Base Event
public abstract class DomainEvent
{
public Guid Id { get; set; } = Guid.NewGuid();
public DateTime Timestamp { get; set; } = DateTime.UtcNow;
}
π Example Event
public class CounterIncrementedEvent : DomainEvent
{
public int Amount { get; set; }
}
πΎ Step 3: Create Event Store
using LiteDB;
public class EventStore
{
private readonly LiteDatabase _database;
public EventStore(string path)
{
_database = new LiteDatabase(path);
}
public void Append(DomainEvent @event)
{
var collection = _database.GetCollection<DomainEvent>("events");
collection.Insert(@event);
}
public IEnumerable<DomainEvent> GetAll()
{
return _database.GetCollection<DomainEvent>("events")
.FindAll();
}
}
βοΈ Step 4: Commands
Commands express intent:
public class IncrementCounterCommand
{
public int Amount { get; set; }
}
π§ Command Handler
public class IncrementCounterHandler
{
private readonly EventStore _eventStore;
public IncrementCounterHandler(EventStore eventStore)
{
_eventStore = eventStore;
}
public void Handle(IncrementCounterCommand command)
{
var @event = new CounterIncrementedEvent
{
Amount = command.Amount
};
_eventStore.Append(@event);
}
}
π Step 5: Projections (Read Models)
Instead of recalculating every time:
public class CounterProjection
{
public int CurrentValue { get; private set; }
public void Apply(CounterIncrementedEvent @event)
{
CurrentValue += @event.Amount;
}
}
π Rebuilding State
var projection = new CounterProjection();
foreach (var @event in eventStore.GetAll())
{
if (@event is CounterIncrementedEvent incremented)
{
projection.Apply(incremented);
}
}
π± Integrating with .NET MAUI
π§© Dependency Injection
builder.Services.AddSingleton<EventStore>(_ =>
new EventStore(Path.Combine(
FileSystem.AppDataDirectory,
"events.db")));
builder.Services.AddSingleton<IncrementCounterHandler>();
π¨ ViewModel Integration
public partial class MainViewModel : ObservableObject
{
private readonly IncrementCounterHandler _handler;
[ObservableProperty]
private int counter;
public MainViewModel(IncrementCounterHandler handler)
{
_handler = handler;
}
[RelayCommand]
public void Increment()
{
_handler.Handle(new IncrementCounterCommand
{
Amount = 1
});
Counter++;
}
}
βοΈ Traditional CRUD vs Event Sourcing
π Comparative Table
| Feature | CRUD ποΈ | Event Sourcing π |
|---|---|---|
| Audit History | β | β |
| Offline Sync | β οΈ Difficult | β |
| State Reconstruction | β | β |
| Complexity | β | ββββ |
| Scalability | ββ | βββββ |
π§ Mobile-Specific Challenges
β οΈ Storage Growth
Events grow indefinitely.
Solution:
- Snapshots πΈ
- Event compaction
β οΈ Sync Conflicts
Devices may diverge.
Solution:
- Event versioning
- Conflict resolution strategies
β οΈ Performance
Replaying thousands of events is expensive.
Solution:
- Cached projections
- Incremental rebuilds
π§± Advanced Patterns (PRO Level)
πΈ Snapshots
Store periodic state:
public class CounterSnapshot
{
public int Value { get; set; }
public int Version { get; set; }
}
π Synchronization Queue
public class PendingSyncEvent
{
public DomainEvent Event { get; set; }
public bool Synced { get; set; }
}
π‘ Remote Event Sync
Sync events to:
- REST APIs π
- SignalR hubs β‘
- Cloud event stores βοΈ
π§ Why This Architecture Is Powerful
Traditional mobile apps store:
"What the state is"
Event Sourcing stores:
"How the state became what it is"
That difference changes everything.
π Reference Links
π Key Takeaways
- CQRS + Event Sourcing fit mobile surprisingly well π±
- LiteDB provides lightweight local persistence πΎ
- Offline-first architectures become much cleaner β‘
- Complexity increasesβbut scalability and resilience improve dramatically
π§© Final Thoughts
Event Sourcing on mobile may sound excessive at firstβbut once your app requires:
- Offline support
- Reliable synchronization
- State traceability
- Complex workflows
β¦it starts making a lot of sense.
With .NET MAUI and LiteDB, you can bring enterprise-grade architectural patterns directly into mobile development. And that opens the door to a completely different class of applications. π
