My group is working with datasets between 100 Mb and 1 GB in size, using
multiple log ins. From the documentation, it appears that vsize is limited
to 2^30-1, which tends to prove too restrictive for our use. When we drop
that restriction (set vsize = NA) we end up hanging the server, which
requires a restart. Is there any way to increase the memory limits on R
while keeping our jobs from hanging? Having to restart the server is a
major inconvenience, second only to memory limitations in R.
> mem.limits()
nsize vsize
100000000 NA
> mem.limits(vsize=2^30)
nsize vsize
100000000 1073741824
> mem.limits(vsize=2^31)
nsize vsize
100000000 1073741824
Warning message:
In structure(.Internal(mem.limits(as.integer(nsize), as.integer(vsize))), :
NAs introduced by coercion
--Nathan
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