![]() In the meantime, the calling thread can handle user interaction in a desktop application or process other requests in a server application, instead of just idly waiting for the operation to complete. Whenever possible, it makes a lot of sense to use asynchronous I/O methods in favor of synchronous ones. they spend most of their time in input and output operations, such as file or network access. This means that these methods are I/O bound, i.e. NET Core uses Task to represent both concepts, there is a core difference in how it handles them internally.Īsynchronous methods run in the background while the calling thread is doing other work. Multithreaded CodeĬoncurrent programming is a broad term and we should start with it by examining the difference between asynchronous methods and actual multithreading.Īlthough. NET Core, tasks are the main abstraction for concurrent programming, but there other support classes that can make our job easier. However, concurrency can also help us improve performance of individual applications with asynchronous I/O operations and parallel processing. Since ASP.NET Core is heavily built around composition and dependency injection, let’s put that to use.Every computer that we buy today has a CPU with more than one core, allowing it to execute multiple instructions in parallel. Operating systems take advantage of this configuration by scheduling processes to different cores. So now you know how to use IHostedService in ASP.NET Core 2.0, it’s time to build our scheduler. Well, Spring approach actually - except for the fun in writing code (we never heard that joke before -)) the above sample will work in pretty much any Spring application.īefore we dive in, please read Steve’s post about using IHostedService in ASP.NET Core 2.0. So I thought of working on a system that would be more similar to the Kotlin approach above. Yes, it’s a more powerful way of handling this type of background work, but look at that Kotlin sample above! It’s short, simple, clean. Then earlier this week, I saw Steve Gordon blogged about using IHostedService in ASP.NET Core 2.0, and I noticed this was potentially the same. We have a few other occasions, but they all share one pattern: a simple background fetch of data, moving it outside of the request path. Twice a day, we fetch the list of employees for some other functionality. This same approach is taken in various other places of the application. We just tell our application to refresh the list of releases every two hours, without having to do this in a request path. ![]() While those approaches all work, they are all more complex than what we see in the above code sample. NET which is either coming up with our own scheduling system, or coming up with a crazy approach that uses timestamps, or use ObjectCache and check whether data expired or not. In this example, our bot uses the releasesList to return data about upcoming product releases when someone asks on Slack.įor this case, I kind of like the approach of being able to populate a list of data every 2 hours (or whetever the cron string dictates), instead of doing what we typically do in. Turns out that the attribute is part of the Spring framework and allows simple scheduling of background tasks. Wondering what it did, I asked around and did some research.
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