Also, I've pointed at two of those limits that worry me some - namely number of classes and number of co-routines, and had not seen so far any feedback even whether they actually make sense.
A simple data analysis tasks that create a co-routine per row, and submit those for workers with more than 1 million rows is something that just works today, and is not even a burden in a desktop machine would hit such limits. Is there an easy way to locate the data-structures that would be changed on cpython that would need to be changed to limit classes and co-routines? I'd like to have at least a little more concrete idea of what could possibly be optimized if they were capped. js -><- On Mon, 9 Dec 2019 at 11:22, Chris Angelico <ros...@gmail.com> wrote: > On Tue, Dec 10, 2019 at 1:09 AM Mark Shannon <m...@hotpy.org> wrote: > > Bear in mind that the costs of higher limits are paid by everyone, but > > the benefits are gained by few. > > Can we get some stats on what the costs of higher limits (or having no > limit at all) is? Or, putting it the other way: Since CPython > currently does not enforce limits, what are the benefits of placing > those limits? Merely having a limit doesn't in itself give a benefit > (and is a (minor) cost); it would help the discussion if we knew > exactly WHAT the costs of the higher limits were. > > ChrisA > _______________________________________________ > Python-Dev mailing list -- python-dev@python.org > To unsubscribe send an email to python-dev-le...@python.org > https://mail.python.org/mailman3/lists/python-dev.python.org/ > Message archived at > https://mail.python.org/archives/list/python-dev@python.org/message/4IKBEMNGC5DZXOAR555ZUGNJGWSFV3QI/ > Code of Conduct: http://python.org/psf/codeofconduct/ >
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