> On Jan 29, 2016, at 10:11 AM, Brian Bolt <br...@mcneilco.com> wrote: > > I have a non-CRAN package that has a large number of dependencies and as > such, the memory footprint from loading my package in R is becoming larger. > I use Rapache often to pre-load my package and provide web services for my > code, so the consistent memory footprint is hurting other processes on the > machine. > > I have created an R docker container and when I start R, the memory footprint > is 27.89MB, after loading the car package, the memory footprint shoots up to > 131.4MB. A difference of 103.51MB. For comparison, loading ggplot2 only > gives a difference of 9.32MB. > > Is there something I can do, without removing dependencies, that could > relieve some of my memory footprint? To be clear, I am not just asking about > the car package but reducing memory dependence in general. Can I force the R > package loader to only load functions from packages that I am dependent on? > Is there a way to not load all of the datasets?
You could be more specific about which functions you need. > > Thanks, > Brian > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. David Winsemius Alameda, CA, USA ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
