How to Efficiently Execute Multiple Asynchronous Tasks in C#?

Efficiently execute multiple asynchronous tasks in C#

When dealing with asynchronous code, it is crucial to choose the most efficient method to perform multiple tasks concurrently. This article explores two common ways to achieve this: Parallel.ForEach combined with Wait() and Task.WaitAll().

Use Parallel.ForEach and Wait()

Parallel.ForEach() combined with Wait() can start multiple tasks in parallel, but will block each participating thread until the task is completed. This approach is inefficient when network operations take a large amount of time because each thread will be idle for a long time.

Use Task.WaitAll()

Task.WaitAll() also blocks the current thread until all tasks are completed. While this method ensures that all tasks are completed before continuing, it prevents the current thread from performing other work.

Recommended method: Task.WhenAll()

In order to efficiently execute multiple asynchronous tasks, it is recommended to use Task.WhenAll(). This method starts tasks concurrently without blocking any threads. As tasks complete, they automatically wait, allowing the current thread to continue processing.

The following is an example of using Task.WhenAll():

<code class="language-csharp">public async Task DoWork()
{
    int[] ids = new[] { 1, 2, 3, 4, 5 };
    await Task.WhenAll(ids.Select(i => DoSomething(1, i, blogClient)));
}</code>

By using Task.WhenAll(), the above method performs all tasks asynchronously without blocking the current thread. To further optimize performance, if there are no subsequent operations, you can avoid using await and return directly from the method.

More resources

For a more in-depth look at these alternatives, see the following blog post:

• How and where to use ASP.NET Web API for concurrent asynchronous I/O

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