>>>>> Qin Zhu <qin...@outlook.com>
>>>>> on Mon, 2 May 2016 16:19:44 -0400 writes:
> Hi,
> I’m working on a Shiny app for statistical analysis. I ran into this
"maximal number of DLLs reached" issue recently because my app requires
importing many other packages.
> I’ve posted my question on stackoverflow
(http://stackoverflow.com/questions/36974206/r-maximal-number-of-dlls-reached
<http://stackoverflow.com/questions/36974206/r-maximal-number-of-dlls-reached>).
> I’m just wondering is there any reason to set the maximal number of DLLs
to be 100, and is there any plan to increase it/not hardcoding it in the
future? It seems many people are also running into this problem. I know I can
work around this problem by modifying the source, but since my package is going
to be used by other people, I don’t think this is a feasible solution.
> Any suggestions would be appreciated. Thanks!
> Qin
Increasing that number is of course "possible"... but it also
costs a bit (adding to the fixed memory footprint of R).
I did not set that limit, but I'm pretty sure it was also meant
as reminder for the useR to "clean up" a bit in her / his R
session, i.e., not load package namespaces unnecessarily. I
cannot yet imagine that you need > 100 packages | namespaces
loaded in your R session. OTOH, some packages nowadays have a
host of dependencies, so I agree that this at least may happen
accidentally more frequently than in the past.
The real solution of course would be a code improvement that
starts with a relatively small number of "DLLinfo" structures
(say 32), and then allocates more batches (of size say 32) if
needed.
Patches to the R sources (development trunk in subversion at
https://svn.r-project.org/R/trunk/ ) are very welcome!
Martin Maechler
ETH Zurich & R Core Team
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