Thank you Nyall for your reply!
This gives me some more insights about how algorithm execution is
implemented in models. I will try to test this issue with other
processing algorithms (also other plugin algorithms). Maybe this gives
some insight on whether it is a plugin or QGIS related issue.
Best,
Clemens
On 26.08.19 01:15, Nyall Dawson wrote:
On Sun, 25 Aug 2019 at 00:39, Clemens Raffler <[email protected]> wrote:
Dear QGIS Devs,
Recently, I received two messages from users concerning the speed of
processing algorithms which are implemented in the QNEAT3 plugin. More
specifically, they report that the execution time of algorithms slow
down up to 10 times when the algorithm is used in the graphical modeler
compared to manual execution from the processing toolbox (used
algorithm: OD Matrix from Layers as Lines (m:n)). I link the ticket from
the QNEAT3 repository here for reference:
https://github.com/root676/QNEAT3/issues/21
I would like to identify the cause of this problem because on the first
look I can't relate it to any implementation flaws on the plugin side.
Has anyone else experienced this problem with other processing plugins
or core algorithms? I didn't have time yet to check if core algorithms
are affected too. Could it be some kind of bug related to the graphical
modeler? Do you have any hints what could cause this problem on the
plugin side so I can fix it? Tanks in advance!
The only difference I can think of between running them in the toolbox
vs models is that when you run a model it's always run in the main
thread, including all the child algorithms inside that model. When you
run direct from the toolbox then **some** algorithms are flagged as
safe to run in background threads and won't be run on the main thread.
So potentially they are seeing a slowdown due to this, and other stuff
clogging up the main thread and slowing down the execution...
Nyall
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