Lära Async Loops: Await in foreach and for | Async Loops and Processing Collections

When working with collections of data in C#, you often need to perform operations on each item—such as downloading a list of web pages or processing files. Making these operations asynchronous can improve responsiveness and efficiency, but there are important details to understand when using async/await inside loops. A common pitfall is assuming that simply adding await inside a loop will make all operations run in parallel, when in fact, it usually causes them to run sequentially. Understanding the difference between sequential and parallel execution in async loops is key to writing efficient, correct code.

Definition

sequential execution means each async operation completes before the next one starts.
parallel execution means multiple async operations are started and run at the same time, with their results awaited together.

Program.cs


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using System;
using System.Collections.Generic;
using System.Net.Http;
using System.Threading.Tasks;

namespace ConsoleApp
{
    public class Program
    {
        public static async Task Main(string[] args)
        {
            var urls = new List<string>
            {
                "https://example.com",
                "https://example.org",
                "https://example.net"
            };

            await ProcessUrlsSequentially(urls);
        }

        public static async Task ProcessUrlsSequentially(List<string> urls)
        {
            using var httpClient = new HttpClient();
            foreach (var url in urls)
            {
                Console.WriteLine($"Starting download: {url}");
                var content = await httpClient.GetStringAsync(url);
                Console.WriteLine($"Downloaded {url}: {content.Length} characters");
            }
        }
    }
}

In this example, each URL is downloaded one after the other. The await inside the foreach loop means that the next iteration will not start until the current one has completed. This is called sequential execution. While this approach is simple and easy to understand, it can lead to slow performance if each operation takes a long time, because the total time will be roughly the sum of all individual operations.

To process multiple items concurrently, you can start all the asynchronous operations first and then await their completion together. This is done using Task.WhenAll and LINQ's Select method, as shown below.

ParallelProcessingSample.cs


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using System;
using System.Collections.Generic;
using System.Linq;
using System.Net.Http;
using System.Threading.Tasks;

public class ParallelProcessingSample
{
    public async Task ProcessUrlsInParallel(List<string> urls)
    {
        using var httpClient = new HttpClient();
        var tasks = urls.Select(async url =>
        {
            Console.WriteLine($"Starting download: {url}");
            var content = await httpClient.GetStringAsync(url);
            Console.WriteLine($"Downloaded {url}: {content.Length} characters");
        });
        await Task.WhenAll(tasks);
    }
}

When deciding between sequential and parallel processing, weigh the trade-offs. Use sequential processing when order matters or when each operation depends on the previous one. Choose parallel processing for independent operations, but be careful not to start too many tasks at once. Sometimes, using a limited degree of parallelism (such as batching) is the best approach.

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