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Async/Await with Asynchronous Operations: The Details of Speeding Up Tasks

Recently, while working on a project, my excitement to go camping again was reignited. You know that youthful thrill of grabbing a backpack and venturing into the wild, right? Back then, the programming world wasn’t as colorful as it is now, but I was just as eager to try and experiment with everything, like designing a circuit. It was incredibly simple, but it just didn’t work as I wanted. I spent days, as if an invisible hand was messing everything up. In the end, I realized I had connected the wire to the wrong pin on a component. It’s like… well, you get the idea 🙂

Such simple mistakes can sometimes take days and stress us out, but the satisfaction that comes after finding and fixing that error is incomparable. Anyway, back to our topic. Today, I will talk about async/await and asynchronous operations. You know that magic touch that allows tasks to run in parallel and prevents our program from freezing? That’s what I mean.

This is especially important for web developers. Imagine a user requests data from you, and you need several processes to fetch that data. You’ll connect to a database, retrieve the information, maybe get some additional data from another service, then combine everything before sending to the user. If you do these steps one by one, sequentially, the user will get tired of waiting, possibly close the page. Isn’t it great if our program can do other things while working in the background? It improves user experience and makes our job easier.

That’s where async and await come into play. They allow you to continue doing other things while an operation is still ongoing, instead of making your program wait for it to finish. Of course, this is not possible in a synchronous process. In a synchronous process, you can’t move to the next task before the current one is done. It’s like going camping—you set up the tent, gather firewood, then light the fire. All in sequence, right?

The point of async and await is exactly this. When you define an async method, you declare that it will run asynchronously. It’s like saying, “My job might take a while; go do something else, and I’ll inform you when I’m done.” Await manages the “inform me” part. When you use await inside an async method, you pause at that line, but the rest of the program continues to run. It’s like going to a restaurant, waiting for your food while strolling around on your phone—that’s how it works.

So, how does a practical example look? Let’s say we want to fetch data from an API. Normally, with HttpClient, we’d use the GetAsync method. But that method doesn’t give us the result directly; it returns a Task. We need to wait for that Task to complete. That’s where await is useful. Let’s look at a simple example:

First, consider a standard, synchronous approach:

“`csharp // WRONG APPROACH: Synchronous and Blocking public string FetchDataSync() { using (HttpClient client = new HttpClient()) { HttpResponseMessage response = client.GetAsync(“https://jsonplaceholder.typicode.com/todos/1”).Result; response.EnsureSuccessStatusCode(); string responseBody = response.Content.ReadAsStringAsync().Result; return responseBody; } } “`

As you see, we used .Result. This causes the method to wait until completion, freezing the whole program. It’s like waiting for your food to be ready while you can’t even check your messages on your phone. This especially causes your application to freeze, particularly in UI applications. I’ve seen many people live through this. My own program froze in class 🙂

Now, let’s get to the crucial part—how to do this more elegantly with async and await:

“`csharp // CORRECT APPROACH: Asynchronous and Non-Blocking public async Task<string> FetchDataAsync() { using (HttpClient client = new HttpClient()) { HttpResponseMessage response = await client.GetAsync(“https://jsonplaceholder.typicode.com/todos/1”); response.EnsureSuccessStatusCode(); string responseBody = await response.Content.ReadAsStringAsync(); return responseBody; } } “`

See how simple it is? We added await before GetAsync and ReadAsStringAsync. Thanks to this, our program can continue doing other work while these tasks are running. The method’s return type is now Task<string>. This indicates that the method, upon completion of a long-running operation, will return a string. To display or process this data, you might also need to write another async method, but for now, this is enough.

In short, this async/await structure saves the day, especially during heavy network or disk I/O operations. It keeps your application responsive and greatly enhances user experience. It’s like speeding up and making your tasks smarter. Thanks to this technology, you can download data in the background while showing animations to the user, for example.

To better understand the topic, you can search online for examples of async/await in C#. Usually, many good resources are available. There are also very detailed tutorials on YouTube, check them out.

Ultimately, async and await are indispensable in modern programming. Knowing these in the C# and .NET ecosystem will significantly boost the performance and user satisfaction of your applications. It might seem confusing at first, but after a few trials, you’ll grasp the logic. I believe practicing is the best way for every developer to learn this.

By the way, just thinking out loud—by using these techniques, you can list products in an e-commerce site while simultaneously fetching ads in the background. It’s like… well, you get the idea 🙂 Imagine a user browsing a product list while ads load in the background tailored to their interests. These kinds of optimizations significantly improve the user experience.

In summary, with async/await, we perform tasks in parallel. While waiting for one, we handle others. This makes our programs faster, more fluid, and more user-friendly. I think that’s enough detail for now. There’s much more to tell, but I must respect the token limit 🙂

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