[R] Huge differences in Ram Consumption with different versions of R on the same scripts
er|cjberger @end|ng |rom gm@||@com
Mon May 8 12:37:20 CEST 2023
Assuming the vignettes are the same in both cases, try going back to
the system where it worked and introduce a single change? i.e.
a) previous linux system and R 4.2
b) Previous R version and Oracle Linux 8
Repeat the test for a) and b) and if one works fine and the other
fails at least that will narrow down the search.
On Mon, May 8, 2023 at 4:41 AM Robert Knight <bobby.knight using gmail.com> wrote:
> Hello R Help,
> I have some R vignettes that run fpp2 time series regressions. I have run
> these for a long time using R and a 12 core computer system. I ran each
> core using Linux to run a vignette on that core, so that all 12 could work
> concurrently. With 48GB of ram, the ram never filled up. I ran these
> regressions for hours, one data set right after the other on each core.
> Recently, I switched to Oracle Linux 8 and R 4.2 Now, with the same
> scripts, and the same data, the ram fills up and R reserves 4.2GB per
> instance in some cases. This results in all the ram being consumed and the
> swap space on the system activating constantly so that the performance is
> abysmal. It begins using 12Gb of swap space in addition to the ram
> consumed. It bogs the system so bad that one can't even establish new
> terminal sessions.
> Is there a way to specify a maximum ram allowance in an R vignette? If
> that’s not possible, what resources can you recommend to help identify the
> reason for the change in memory use? Why would a different version of
> R/Linux use 2GB per instance, while another uses 4.4GB? What kind of
> troubleshooting or programming techniques should I research for this kind
> of concern?
> Robert Knight
> [[alternative HTML version deleted]]
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