[R] stopping functions with long execution times

Henrik Bengtsson hb at biostat.ucsf.edu
Thu Jul 18 12:43:24 CEST 2013


See evalWithTimeout() of R.utils, e.g.

tryCatch({
  evalWithTimeout({
    slowFunction();
  }, timeout=7*24*3600);
}, TimeoutException=function(ex) {
  cat("Timeout. Skipping.\n");
})

help("evalWithTimeout") have more information and cross links.

/Henrik

On Thu, Jul 18, 2013 at 11:37 AM, ONKELINX, Thierry
<Thierry.ONKELINX at inbo.be> wrote:
> Dear all,
>
> I am running the same model on several datasets, each dataset is a different species. The problem is that for some datasets the model is not converging. Currently I have an INLA model running for 35 days and still no results. The process still uses near 100% of the CPU and less than 1 GB RAM on virtual Ubuntu box with 8 GB RAM on a blade server.
>
> I can kill the process manual and make the script skip this model. However it would be more elegant if it was possible to automate this. E.g. let the model run but kill it automatically once it runs for more than 7 days. Once killed the model should throw an error so we can catch that in the error-handling.
>
> Any suggestions on how to do this?
>
> Best regards,
>
> Thierry
>
> ir. Thierry Onkelinx
> Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest
> team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
> Kliniekstraat 25
> 1070 Anderlecht
> Belgium
> + 32 2 525 02 51
> + 32 54 43 61 85
> Thierry.Onkelinx at inbo.be
> www.inbo.be
>
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>
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