Async/await in C# is a framework used for writing asynchronous C# code that is both readable and maintainable. These tips will help you to integrate async/await
Async/await in C# is a framework used for writing asynchronous C# code that is both readable and maintainable. These tips will help you to integrate async/await programming more effectively in the # projects: 1.
ValueTask for Lightweight Operations Use ValueTask instead of Task for asynchronous methods that often complete synchronously, reducing the allocation overhead. public async ValueTask GetResultAsync { if return cachedResult; int result=await ComputeResultAsync; cachedResult=result; return result; } 2. ConfigureAwait for Library Code Use ConfigureAwait in the library code to avoid deadlocks by not capturing the synchronization context. public async Task SomeLibraryMethodAsync { await SomeAsyncOperation.ConfigureAwait; } 3. Avoiding async void Prefer async Task over async void except for event handlers, as async void can lead to unhandled exceptions and is harder to test. public async Task EventHandlerAsync { await PerformOperationAsync; } 4. Using IAsyncDisposable For asynchronous cleanup, implement IAsyncDisposable and use await to ensure resources are released properly. public async ValueTask DisposeAsync { await DisposeAsyncCore; } private async ValueTask DisposeAsyncCore { if { await resource.DisposeAsync; } } 5. Efficiently Combine Tasks Use Task.WhenAll for running multiple tasks in parallel and waiting for all to complete, which is more efficient than awaiting each task sequentially public async Task ProcessTasksAsync { Task task1=DoTask1Async; Task task2=DoTask2Async; await Task.WhenAll; } 6. Cancellation Support Support cancellation in asynchronous methods using CancellationToken. public async Task DoOperationAsync { await LongRunningOperationAsync; cancellationToken.ThrowIfCancellationRequested; } 7. State Machine Optimization For performance-critical code, consider structuring your async methods to minimize the creation of state machines by separating synchronous and asynchronous paths. public async Task FastPathAsync { if ) { return result; } return await ComputeResultAsync; } 8. Avoid Blocking Calls Avoid blocking on async code with .Result or .Wait. Instead, use asynchronous waiting through the stack. public async Task WrapperMethodAsync { int result=await GetResultAsync; } 9. Eliding Async/Await In simple passthrough scenarios or when returning a task directly, you can elide the async and await keywords for slightly improved performance. public Task GetResultAsync=>ComputeResultAsync; 10. Custom Task Schedulers For advanced scenarios, like limiting concurrency or capturing synchronization contexts, consider implementing a custom TaskScheduler. public sealed class LimitedConcurrencyLevelTaskScheduler : TaskScheduler { // Implement the scheduler logic here. } 11. Using Asynchronous Streams Leverage asynchronous streams with IAsyncEnumerable for processing sequences of data asynchronously, introduced in C# 8.0. public async IAsyncEnumerable GetNumbersAsync { for =>await DoWorkAsync; // After optimization public async Task DoWorkMethodAsync { await DoWorkAsync; } 13. Use SemaphoreSlim for Async Coordination SemaphoreSlim can be used for async coordination, such as limiting access to a resource in a thread-safe manner. private readonly SemaphoreSlim semaphore=new SemaphoreSlim; public async Task UseResourceAsync { await semaphore.WaitAsync; try { // Access the resource } finally { semaphore.Release; } } 14. Task.Yield for UI Responsiveness Use await Task.Yield in UI applications to ensure the UI remains responsive by allowing other operations to process. public async Task LoadDataAsync { await Task.Yield; // Return control to the UI thread // Load data here } 15. Asynchronous Lazy Initialization Use Lazy>for asynchronous lazy initialization, ensuring the initialization logic runs only once and is thread-safe. private readonly Lazy>lazyObject=new Lazy>=>{ return await InitializeAsync; }); public async Task GetObjectAsync=>await lazyObject.Value; 16. Combining async and LINQ Be cautious when combining async methods with LINQ queries; consider using asynchronous streams or explicitly unwrapping tasks when necessary. public async Task>ProcessDataAsync { var data=await GetDataAsync; // Assume this returns Task>return data.Where; } 17. Error Handling in Async Streams Handle errors gracefully in asynchronous streams by encapsulating the yielding loop in a try-catch block. public async IAsyncEnumerable GetNumbersWithErrorsAsync { try { for ; }); 22. Avoid Excessive Async/Await in High-Performance Code In performance-critical sections, minimize the use of async/await. Instead, consider using Task.ContinueWith with caution or redesigning the workflow to reduce asynchronous calls. Task task=ComputeAsync; task.ContinueWith); 23. Async Main Method Utilize the async entry point for console applications introduced in C# 7.1 to simplify initialization code. public static async Task Main { await StartApplicationAsync; } 24. Optimize Async Loops For loops performing asynchronous operations, consider batching or parallelizing tasks to improve throughput. var tasks=new List; for { tasks.Add); } await Task.WhenAll; More Cheatsheets Cheat Sheets - .Net C# Programming🚀 Thank you for being a part of the C# community! Before you leave: Follow us: | | | Visit our other platforms: More content at Youtube X LinkedIn Dev.to GitHub C# Programming Also published . here
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