Yeah, not very clean, but you could run dummy queries there that just exercised the hot code paths.
It would be interesting to see if it worked though -- have a function that runs much faster after jit, warm it like this, then see if behaves the same after gunicorn forks the worker process. m On Wed, Mar 21, 2018 at 09:06:20AM +0100, Nagy, Attila wrote: > On 03/18/2018 11:14 PM, Matt Billenstein wrote: > > Seems you need to just trigger whatever heuristic causes the JIT to run on > > the > > interesting codepaths during application startup. > > > > Would having a small for loop in a module global namespace that called down > > through your stack do the trick? > > > > ===== somemodule.py > > > > def foo(...): > > # maybe this function calls through several layers of code in other > > # modules... > > ... > > > > for i in range(20): > > foo(...) # prewarm foo... > > > > ===== > > > > > That would be hard, I guess. For example I couldn't reach the processing > layer of a connection object this way, only with real queries. -- Matt Billenstein m...@vazor.com http://www.vazor.com/ _______________________________________________ pypy-dev mailing list pypy-dev@python.org https://mail.python.org/mailman/listinfo/pypy-dev