Error: C stack usage 7974692 is too close to the limit with

[dougfir]

When typing this Q I found several other posts around this, looks like it's pretty unanswerable

Error: C stack usage is too close to the limit when using options( shiny.trace =T)

I am getting this memory error only when using shiny.trace=T The app runs without error , but not behaving as expected ( hence the need for trace!) any suggestions on how to increase the available memory ( windows 10 PC has 12GB RAM) or otherwise work around. thanks

R mapping (C stack usage 7971616 is too close to the limit)

Dear all, I got the feedback as below when processed plot(world). I have installed and activated sf package under Rstudio. Could someone help. Thanks! C stack usage 7971616 is too close to the limit

Error when moving to 3.5 : C stack usage ... is too close to the limit

Dear Andrie, Following your suggestion, we installed R from source for version 3.5.1 and then for 3.4.4 however it did not work and had the same issue. We went back to the previous working version R 3.4.1 and got the same issue. I wonder if we need to go back to the same GCC compiler version? The problem is our shiny app works fine for few hours and then randomly crashes with error in the log file like this: Loading required package: rcdk Loading required package: rcdklibs Loading required package: rJava Loading required package: fingerprint Loading required package: rcellminerData Error: C stack usage 82761618932 is too close to the limit Execution halted **** caught segfault ***…

R error: C stack usage 7970960 is too close to the limit

I tried to compute for simple exponential function in my R studio as, > exp(1) And I received following error message as follows, Error: C stack usage 7970960 is too close to the limit Now I can't run any exponential computing in R studio anymore but last night it was all good! I tried to do it in regular R and it works. So weird. I tried to expand the limit in terminal (I am using Mac) but that seems not to stay permanent.. What happens to computation? Does anyone know how to remove this error? Thank you!

I'm posting this question on the back of a SO post over here.

I'm running rstudio in a docker container rocker/tidyverse.

Simple r block:

strtime_to_dt <- function(x) {format(strtime_to_dt(x), "%F %H:%M:%OS3")}
v1 <- c("1605859226452", "1605859226461", "1605859248803", "1605859261112",  "1605859283839", "1605859471370")
format(strtime_to_dt(v1), "%F %H:%M:%OS3")
Error: C stack usage  7972180 is too close to the limit

Goal it to get datetime vector returned to the millisecond.

sessionInfo()
R version 4.0.3 (2020-10-10)
Platform: x86_64-pc-linux-gnu (64-bit)
Running under: Ubuntu 20.04 LTS

Matrix products: default
BLAS/LAPACK: /usr/lib/x86_64-linux-gnu/openblas-pthread/libopenblasp-r0.3.8.so

locale:
 [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C               LC_TIME=en_US.UTF-8        LC_COLLATE=en_US.UTF-8    
 [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=C              LC_PAPER=en_US.UTF-8       LC_NAME=C                 
 [9] LC_ADDRESS=C               LC_TELEPHONE=C             LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       

attached base packages:
[1] stats     graphics  grDevices utils     datasets  methods   base     

loaded via a namespace (and not attached):
[1] compiler_4.0.3 tools_4.0.3    tinytex_0.27   xfun_0.19     

Not sure what other info to provide. Is there any other way to get the result I'm looking for?

[technocrat]

In the unices there is an environment variable ulimit that increases the amount of RAM made available to programs; the default is often near 8GB. A search for ulimit windows 10 may help. I can't answer questions specifically related to WIN

[dougfir]

Thanks for the info but I'm on Ubuntu not Win!

[technocrat]

Good on you. Check

man ulimit

on upping the constraint. Come back with more questions.

[nirgrahamuk]

@dougfir

strtime_to_dt <- function(x) {format(strtime_to_dt(x), "%F %H:%M:%OS3")}

This is a recursive function that calls it self and therefore would blow any stack