I know that asynchronous programming has seen a lot of changes over the years. I'm somewhat embarrassed that I let myself get this rusty at just 34 years old, but I'm counting on StackOverflow to bring me up to speed.
What I am trying to do is manage a queue of "work" on a separate thread, but in such a way that only one item is processed at a time. I want to post work on this thread and it doesn't need to pass anything back to the caller. Of course I could simply spin up a new
Thread object and have it loop over a shared
Queue object, using sleeps, interrupts, wait handles, etc. But I know things have gotten better since then. We have
await, not to mention NuGet packages that probably abstract a lot of that.
I know that "What's the best..." questions are generally frowned upon so I'll rephrase it by saying "What is the currently recommended..." way to accomplish something like this using built-in .NET mechanisms preferably. But if a third party NuGet package simplifies things a bunch, it's just as well.
I considered a
TaskScheduler instance with a fixed maximum concurrency of 1, but seems there is probably a much less clunky way to do that by now.
Specifically, what I am trying to do in this case is queue an IP geolocation task during a web request. The same IP might wind up getting queued for geolocation multiple times, but the task will know how to detect that and skip out early if it's already been resolved. But the request handler is just going to throw these
() => LocateAddress(context.Request.UserHostAddress) calls into a queue and let the
LocateAddress method handle duplicate work detection. The geolocation API I am using doesn't like to be bombarded with requests which is why I want to limit it to a single concurrent task at a time. However, it would be nice if the approach was allowed to easily scale to more concurrent tasks with a simple parameter change.