[Qbs] Qbs (way) faster than cmake (or benchmark issue)
abbapoh at gmail.com
Tue Jul 23 11:17:11 CEST 2019
Yeah, blog post would be nice. I'd wait for the product graph feature though so we could compare cmake buildgraph and Qbs build graphs as well.
> 23 июля 2019 г., в 4:49, Vincent Hui <vincenthk007 at gmail.com> написал(а):
> Hi Chris,
> Thank you for your benchmark.
> Would you mind writing a blog post to record your benchmark in order to promote Qbs?
> By the way, I think we need to come up with good ideas for promoting Qbs.
>> On Tue, 23 Jul 2019 at 07:31, Christian Gagneraud <chgans at gmail.com> wrote:
>> On Mon, 22 Jul 2019 at 22:10, Oswald Buddenhagen
>> <oswald.buddenhagen at gmx.de> wrote:
>> > On Mon, Jul 22, 2019 at 11:00:07AM +1200, Christian Gagneraud wrote:
>> > > At the 20 jobs mark, cmake start to stagnate, whereas qbs still make
>> > > use of parallelism, at the 30 jobs mark, cmake completely stopped
>> > > reducing overall build time, whereas qbs start to stagnate. At the 40
>> > > jobs mark, both systems are stale.
>> > >
>> > that means that qbs creates a build graph with fewer bottlenecks. cmake
>> > certainly could do that with relatively little effort as well, at the
>> > likely cost of slightly increased null rebuild times (due to the graph
>> > being bigger).
>> Should i plot qbs vs cmake null rebuild times? That would be funny if
>> qbs was faster again... :P
>> Just kidding...
>> I think the build graph generated by cmake is too big/complex.
>> By default, Qbs doesn't track dependencies on system header files for example.
>> We shouldn't see such a big difference b/w cmake/ninja and qbs.
>> Although i like Qbs very much, i do not believe that it implements
>> revolutionary algorithms compared to ninja.
>> Ninja website is actually very interesting (eg. w/ references to
>> http://gittup.org/tup/ and https://github.com/apenwarr/redo) and my
>> gut feeling is that this tool is really efficient in executing it's
>> I think (on of) the problem is what cmake generates, as mentioned in
>> an earlier email, I find suspicious that ninja has to call cmake to
>> handle moc. And this moc aggregation is certainly one of the
>> bottleneck (again, just gut feelings).
>> > some suggestions for making a diagram where the interesting stuff isn't
>> > crammed into a narrow strip at the bottom:
>> > - a logarithmic job count axis
>> Doesn't really help on it's own, but log on both axes kind of do, see
>> attached document.
>> > - build speed per job vs. job count
>> > - cpu utilization per core vs. job count
>> The main issue here is that i've used '-j' to control jobs, which is
>> not good, i should have used docker --cpus instead.
>> Nonetheless all the data is attached if someone fancy some data mining.
>> > - <your idea here>
>> I don't think i'll spend more time on this. But feel free to play with
>> that if you (or anyone else) want.
>> Nothing fancy really, it's just a Dockerfile and a build script.
>> I've attached the csv files, there's lot of potentially interesting
>> data in build-qtcreator-stats.csv (see
>> https://linux.die.net/man/1/time, i've dumped everything)
>> The other file (build-qtcreator-dstat.csv) is data collected by dstat
>> for the whole duration of the builds (see
>> https://linux.die.net/man/1/dstat, i've dumped disk, load and cpu
>> Again, it's full of potential useful data, it just needs some mining...
>> Docker command:
>> cd /path/to/qt-creator
>> git clone https://gitlab.com/chgans/cubicninjas.git
>> docker build -t cubicninjas cubicninjas
>> mkdir builds
>> docker run -it -v $PWD:$PWD -w $PWD --mount
>> type=tmpfs,destination=/tmp --mount type=tmpfs,destination=$PWD/builds
>> cubicninjas $PWD/cubicninjas/build.sh
>> basic gnuplot command for build-qtcreator-stats.csv:
>> set datafile separator ","
>> set logscale x
>> set logscale y
>> plot 'build-qtcreator-stats.csv' every 2::1 using 2:19 with
>> linespoints title 'ninja', '' every 2::0 using 2:19 with linespoints
>> title 'qbs'
>> Enjoy and my apologies for the grumpy email yesterday.
>> Qbs mailing list
>> Qbs at qt-project.org
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> Qbs at qt-project.org
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