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?
Thanks,
Brian
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