>
>
>
> In general, if you're writing performance-sensitive code, you should
> not use deferToThread. Instead, you should use deferToThreadPool:
>
>
> https://twistedmatrix.com/documents/current/api/twisted.internet.threads.html#deferToThreadPool
>
> That's because the reactor's threadpool, which deferToThread uses,
> also handles things like DNS lookups. That means other parts of your
> Twisted program will compete with your performance-sensitive code. To
> ensure that your performance-sensitive code gets the best chance to
> run it should be given its own thread pool, which *only* runs that
> code. I'll use such a thread pool in my version of your test program.
>
>
>
>
> https://gist.github.com/markrwilliams/2e40ed0fa06a9e653609dd61fd80ca95#file-simple_threadpool-py
>
>
>
>
Hi Mark
You mentioned deferToThreadPool. I am curious whether the standard
threadpool in multipleprocessing.dummy works with twisted.
Regards
gelin yan
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