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<
dstufft >
as in, it is deployed and running
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<
dstufft >
So far memory usage is double :P
00:56
<
dstufft >
Looks like latency is up too
00:58
<
dstufft >
gonna let it run a few days and see if it ends up going back down, maybe this is normal around this time i dunno
00:59
<
simpson >
The memory usage probably won't improve over time, but I'd expect the daemon's serving latency to drop as the JIT warms up.
01:02
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dstufft >
simpson: yea, I don't mind the memory usage
01:02
<
dstufft >
I can throw ram at things, that's cool
01:04
<
dstufft >
more concerned about the latency, not sure how long I should expect it to take for the JIT to warm up, it's been about an hour but ATM the bulk of Warehouse's traffic is being served directly from Fastly instead of hitting the origin servers
01:06
<
njs >
that is a bit odd... in smallish CPU-bound benchmarks it usually warms up in a few seconds. Obviously warehouse's codebase is a totally different thing though
01:07
<
njs >
you could try pointing wrk at the origin server and see what happens :-)
01:08
<
dstufft >
sounds like more effort than I'm going to put into it at 9pm on a Friday ;) If it's still got higher latency tomorrow ro so I'll try that
01:09
<
dstufft >
It's much easier to whine on #pypy and expect the pypy fairies to make Warehouse super fast without zero effort on my part ;)
01:09
<
dstufft >
with zero*
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<
njs` >
dstufft: yes, I recommend it
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<
njs >
Incidentally we've twice had pypy3 nightly builds lock up during tests on travis during the last few days... there might be some intermittent bug that's snuck in
01:57
<
njs >
I don't have any more details than that because I haven't managed to reproduce it locally yet, but throwing it out there in case anyone else has seen something similar
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<
tos9 >
dstufft: if you want another point of reference, our largest prod app takes 7 minutes to JIT to an acceptable amount of latency, and ~2 hours to get to nice-ish amounts of latency
02:09
<
dstufft >
tos9: interesting. Presumably you're getting more traffic than Warehouse is too atm :)
02:09
<
tos9 >
dstufft: About 400 QPS per process
02:09
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tos9 >
Of course that depends on the number of loops in the app too, but yeah, just a rough number :)
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<
dw >
dstufft: consider having a little script to throw a few thousand requests at various common endpoints?
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della >
hey, a simple question: is scipy supported by pypy3?
15:26
<
della >
hello everybody :)
15:33
<
LarstiQ >
della: for pypy3, give it a try?
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<
della >
LarstiQ: got it, thanks. it complains about not finding blas/lapack
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<
LarstiQ >
della: do you have those installed?
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<
dstufft >
huh, interesting, memory usage is now up to 3x the original. Gonna need bigger dynos
15:44
<
della >
LarstiQ: yes, I do because the official py3 has scipy installed but maybe it's not finding the libraries
15:45
<
antocuni >
della: I think that scipy bundles them at compilation time
15:45
<
antocuni >
so, to recompile scipy, you need the *-dev packages
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<
kenaan >
arigo py3.5 70d5dcb50915 /: Fixes for test_descr
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<
kenaan >
arigo py3.5 9d66d935ba76 /pypy/module/_io/test/test_fileio.py: Add a failing test. Unsure how to fix it---I can't quite follow the mess of buffers and memoryviews for now...
16:27
<
kenaan >
arigo py3.5 19f65d747b8e /pypy/module/pypyjit/test_pypy_c/test_weakref.py: Fix test
16:27
<
kenaan >
arigo py3.5 3351108873e1 /pypy/module/pypyjit/test_pypy_c/test_string.py: Improve test, now not passing for maybe a good reason
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<
kenaan >
arigo default 2e1b4bdca21f /rpython/rlib/rstring.py: Add "can_be_None=False" in the result annotation of these methods
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<
kenaan >
arigo py3.5 d7d9692a9f74 /: hg merge default
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