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Home/ Questions/Q 1078731
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Editorial Team
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Editorial Team
Asked: May 16, 20262026-05-16T21:45:58+00:00 2026-05-16T21:45:58+00:00

I’ve read at many places that .net Threadpool is meant for short time span

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I’ve read at many places that .net Threadpool is meant for short time span tasks (may be not more than 3secs). In all these mentioning I’ve not found a concrete reason why it should be not be used.

Even some people said that it leads to nasty results if we use for long time tasks and also leads to deadlocks.

Can somebody explain it in plain english with technical reason why we should not use thread pool for long time span tasks?

To be specific, I would even like to give a scenario and want to to know why ThreadPool should not be used in this scenario with proper reasons behind it.

Scenario: I need to process some thousands of user’s data. User’s processing data is retrieved from a local database and using that information I need to connect to an API hosted on some other location and the response from API will be stored in the local database after processing it.

If someone can explain me pitfalls in this scenario if I use ThreadPool with thread limit of 20? Processing time of each user may range from 3 sec to 1 min (or more).

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  1. Editorial Team
    Editorial Team
    2026-05-16T21:45:58+00:00Added an answer on May 16, 2026 at 9:45 pm

    The point of the threadpool is to avoid the situation where the time spent creating the thread is longer than the time spent using it. By reusing existing threads, we get to avoid that overhead.

    The downside is that the threadpool is a shared resource: if you’re using a thread, something else can’t. So if you have lots of long-running tasks, you could end up with thread-pool starvation, possibly even leading to deadlock.

    Don’t forget that your application’s code may not be the only code using the thread pool… the system code uses it a lot too.

    It sounds like you might want to have your own producer/consumer queue, with a small number of threads processing it. Alternatively, if you could talk to your other service using an asynchronous API, you may find that each bit of processing on your computer would be short-lived.

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