
Deep dive into asynchronous programming in C# covering async/await patterns, deadlock prevention, concurrent operations, and optimization strategies.
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Asynchronous programming is one of the most powerful features in modern C#, but it's also where I've encountered some of the most subtle and devastating bugs.
Async/await is syntactic sugar around Tasks and continuations. When you write await, you're telling C# to suspend execution and resume later when the operation completes.
// BAD - Deadlock risk
public IActionResult GetOrder(int id)
{
var order = _orderService.GetOrderAsync(id).Result;
return Ok(order);
}
// GOOD - Truly async
public async Task<IActionResult> GetOrder(int id)
{
var order = await _orderService.GetOrderAsync(id);
return Ok(order);
}
// BAD - Sequential when independent
var payment = await _paymentService.ProcessAsync();
var inventory = await _inventoryService.ReserveAsync();
// GOOD - Parallel for independent operations
var paymentTask = _paymentService.ProcessAsync();
var inventoryTask = _inventoryService.ReserveAsync();
var results = await Task.WhenAll(paymentTask, inventoryTask);
// BAD - Unbounded task creation
var tasks = userIds.Select(id => FetchUserAsync(id)).ToList();
await Task.WhenAll(tasks);
// GOOD - Limit concurrency with SemaphoreSlim
var semaphore = new SemaphoreSlim(50);
var tasks = userIds.Select(async id =>
{
await semaphore.WaitAsync();
try
{
return await FetchUserAsync(id);
}
finally
{
semaphore.Release();
}
});
// BAD - Never use async void except for events
public async void BadAsyncVoid()
{
await SomeOperationAsync();
}
// GOOD - Return Task instead
public async Task GoodAsyncTask()
{
await SomeOperationAsync();
}
// In library code
public async Task<User> GetUserAsync(int userId)
{
var response = await _httpClient.GetAsync($"/api/users/{userId}")
.ConfigureAwait(false);
return await response.Content.ReadAsAsync<User>()
.ConfigureAwait(false);
}
Mastering async/await transforms how you build scalable systems. The patterns I've shared aren't theoretical—they come from debugging production issues.
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