What's the Most Efficient Way to Handle Multiple Async Tasks in C#?

Efficiently handle multiple asynchronous tasks in C#

When dealing with asynchronous API clients, it is crucial to determine the most efficient way to launch multiple tasks and synchronize their completion. This article will explore two common techniques and introduce a recommended alternative for maximum performance.

Common methods

1. Use Parallel.ForEach and .Wait():

   <code class="language-csharp"> Parallel.ForEach(ids, i => DoSomething(1, i, blogClient).Wait());</code>

   This approach runs operations in parallel but blocks each task's thread until it completes. Therefore, if a network call takes a lot of time, the thread will remain idle.

2. Use Task.WaitAll:

   <code class="language-csharp"> Task.WaitAll(ids.Select(i => DoSomething(1, i, blogClient)).ToArray());</code>

   This code waits for all tasks to complete, blocking the current thread until all operations are completed.

Recommended method

For optimal asynchronous execution, it is recommended to use 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>

This method starts tasks in parallel and allows the current thread to continue executing other tasks while waiting for them to complete. This optimizes CPU usage and maintains responsiveness.

For maximum simplicity of code, without waiting, the following code is enough:

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

By using Task.WhenAll, you can efficiently run multiple asynchronous operations in parallel without sacrificing thread efficiency or system responsiveness.

The above is the detailed content of What's the Most Efficient Way to Handle Multiple Async Tasks in C#?. For more information, please follow other related articles on the PHP Chinese website!