[Python-Dev] Python 3.3 vs. Python 2.7 benchmark results (again, but this time more solid numbers) (original) (raw)
Gregory P. Smith greg at krypto.org
Sun Oct 28 04:38:58 CET 2012
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One word: profile.
Looking at stat counts alone rather than measuring the total time spent in all types of system calls from strace and profiling is not really useful. ;)
Another thing to keep an eye out for within a startup profile: how often does the gc collect? our default gc collection thresholds haven't been tuned in ages afaik [or am i forgetting something] and I know of pathological cases at work where simply doing a gc.disable() before importing a bunch of modules (tons of generated protocol buffer code) and re-enabling it afterwards speeds up this application's startup way more significantly than seems healthy in 2.x... that could be related to the particulars of the protobuf module code though.
-gps
On Sat, Oct 27, 2012 at 4:00 PM, Antoine Pitrou <solipsis at pitrou.net> wrote:
On Sun, 28 Oct 2012 01:39:42 +0300 Serhiy Storchaka <storchaka at gmail.com> wrote:
> On 28.10.12 01:06, Brett Cannon wrote: > > I really doubt that as the amount of stat calls is significantly reduced > > in Python 3.3 compared to Python 3.2 (startup benchmarks show Python 3.3 > > is roughly 1.66x faster than 3.2 thanks to caching filenames in a > > directory). > > $ strace ./python -c '' 2>&1 | grep -c stat > > Python 2.7 - 161 stats > Python 3.2 - 555 stats > Python 3.3 - 243 stats This will probably depend on the length of sys.path: $ strace -e stat python2.7 -Sc "" 2>&1 | wc -l 35 $ strace -e stat python3.2 -Sc "" 2>&1 | wc -l 298 $ strace -e stat python3.3 -Sc "" 2>&1 | wc -l 106 $ strace -e stat python2.7 -c "" 2>&1 | wc -l 200 $ strace -e stat python3.2 -c "" 2>&1 | wc -l 726 $ strace -e stat python3.3 -c "" 2>&1 | wc -l 180 Regards Antoine.
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