[R-pkg-devel] Slowdown running examples since 4.2 on Windows
Greg Hunt
greg @end|ng |rom ||rm@n@y@h@com
Fri Jul 1 00:31:15 CEST 2022
Tomas,
Do you have any logging in the build environment that could tell you
whether the environment is running into resource constraints? I can
imagine IO (disk or network) or CPU contention with that kind of workload
and memory pressure would be easy to identify.
Greg
On Fri, 1 Jul 2022 at 01:45, Barbara Lerner <blerner using mtholyoke.edu> wrote:
> Thanks for these suggestions. I attempted to submit a slightly earlier
> version of my package a few weeks ago and saw the slowdown on winbuilder
> then, too. I did not look into any further at that point.
>
> I have tested it on a local Windows computer running 4.2.0 and I did not
> see the slowdown there. Here are those results:
>
> Name user system elapsed
>
> prov.json 1.11 0.24 2.19
>
> prov.run 0.99 0.06 1.93
>
> version R version 4.2.0 (2022-04-22 ucrt)
>
> os Windows 10 x64 (build 19044)
>
> system x86_64, mingw32
>
>
> Tomas Kalibera wrote on 6/30/22 10:09 AM:
> >
> > On 6/29/22 22:25, Barbara Lerner wrote:
> >> I have a package that I want to submit an updated version for but the
> >> examples run too slowly on win-builder since 4.2 came out. I just
> >> submitted the exact same tar.gz file to all 3 versions of R available on
> >> win-builder and got the results shown below. Notice the dramatic
> >> slowdown from 4.1.3 to 4.2.1.
> >>
> >> I don't know how to go about tracking down the cause of this slowdown.
> >> The examples are quite small. I am reluctant to use \dontrun, but I am
> >> not sure what else to do.
> >
> > Could you perhaps submit to Winbuilder several times (with some
> > non-trivial delay between the runs) to see if the very long execution
> > is reproducible?
> >
> > If so, the next step could be trying on a Windows machine with
> > interactive access, to reproduce, and if it is still so slow, checking
> > where the time is spent, using an R profiler, using some C profiler
> > (e.g. VerySleepy is free), comparing possibly to 4.1.3. It might be
> > useful or necessary to also do the profiling with a debug build of
> > Windows and/or the package, while the performance numbers will be
> > skewed, one would see the symbol names.
> >
> > If you wanted specific help, please send a reproducible example -
> > instructions how to run the code and which code.
> >
> > Best
> > Tomas
> >
> >>
> >> June 29 2:33 PM - old release
> >> * using R version 4.1.3 (2022-03-10)
> >> i386 timings
> >> name user system elapsed
> >> prov.json 3.28 0.33 5.19
> >> prov.run 2.70 0.27 4.18
> >>
> >> x64 timings
> >> name user system elapsed
> >> prov.json 3.51 0.27 4.93
> >> prov.run 3.05 0.28 4.48
> >>
> >>
> >> June 29 2:19 PM - release
> >> * using R version 4.2.1 (2022-06-23 ucrt)
> >> * using platform: x86_64-w64-mingw32 (64-bit)
> >> name user system elapsed
> >> prov.json 16.98 8.81 26.82
> >> prov.run 3.53 0.42 4.89
> >>
> >>
> >> June 29 1:52 PM - devel
> >> * using R Under development (unstable) (2022-06-28 r82534 ucrt)
> >> * using platform: x86_64-w64-mingw32 (64-bit)
> >> name user system elapsed
> >> prov.json 16.60 9.09 26.66
> >> prov.run 3.57 0.22 4.70 I then ran the same timing script as
> >> win-builder uses on my Mac,
> >> using Rscript and got these results: name user system elapsed
> >> prov.json 1.105 0.159 1.329 prov.run 0.890 0.103
> >> 1.053 session_info reports: version R version 4.2.0 (2022-04-22)
> >> os macOS Catalina 10.15.7 system x86_64, darwin17.0 I then
> >> installed 4.2.1 on my Mac. The time is a little slower but nothing like
> >> the slowdown on Windows.
> >> name user system elapsed prov.json 1.286 0.230 3.080
> >> prov.run 0.940 0.108 1.131 version R version 4.2.1
> >> (2022-06-23) os macOS Catalina 10.15.7 system x86_64,
> >> darwin17.0
> >>
>
> --
> <http://www.getpostbox.com>Barbara Lerner (she / her)
> Professor
> Computer Science Department
> Mount Holyoke College
>
> <http://www.getpostbox.com>
>
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>
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