[R-pkg-devel] Trouble with long-running tests on CRAN debian server
Thanks Dirk and Ivan,
I took a slightly different work-around of forcing the number of threads to
1 when running functions of the test dataset in the package, by adding the
following to each user facing function:
```
# Check if running on package test_data, and if so, force data.table to
be
# single threaded so that we can avoid a NOTE on CRAN submission
if (isTRUE(all.equal(x, ukbnmr::test_data))) {
registered_threads <- getDTthreads()
setDTthreads(1)
on.exit({ setDTthreads(registered_threads) }) # re-register so no
unintended side effects for users
}
```
(i.e. here x is the input argument to the function)
It took some trial and error to get to pass the CRAN tests; the number of
columns in the input data was also contributing to the problem.
Best,
Scott
On Mon, 21 Aug 2023 at 14:38, Dirk Eddelbuettel <edd at debian.org> wrote:
On 21 August 2023 at 16:05, Ivan Krylov wrote: | Dirk is probably right that it's a good idea to have OMP_THREAD_LIMIT=2 | set on the CRAN check machine. Either that, or place the responsibility | on data.table for setting the right number of threads by default. But | that's a policy question: should a CRAN package start no more than two | threads/child processes even if it doesn't know it's running in an | environment where the CPU time / elapsed time limit is two? Methinks that given this language in the CRAN Repository Policy If running a package uses multiple threads/cores it must never use more than two simultaneously: the check farm is a shared resource and will typically be running many checks simultaneously. it would indeed be nice if this variable, and/or equivalent ones, were set. As I mentioned before, I had long added a similar throttle (not for data.table) in a package I look after (for work, even). So a similar throttler with optionality is below. I'll add this to my `dang` package collecting various functions. A usage example follows. It does nothing by default, ensuring 'full power' but reflects the minimum of two possible options, or an explicit count:
> dang::limitDataTableCores(verbose=TRUE)
Limiting data.table to '12'.
> Sys.setenv("OMP_THREAD_LIMIT"=3);
dang::limitDataTableCores(verbose=TRUE)
Limiting data.table to '3'.
> options(Ncpus=2); dang::limitDataTableCores(verbose=TRUE)
Limiting data.table to '2'.
> dang::limitDataTableCores(1, verbose=TRUE)
Limiting data.table to '1'.
>
That makes it, in my eyes, preferable to any unconditional 'always pick 1
thread'.
Dirk
##' Set threads for data.table respecting possible local settings
##'
##' This function set the number of threads \pkg{data.table} will use
##' while reflecting two possible machine-specific settings from the
##' environment variable \sQuote{OMP_THREAD_LIMIT} as well as the R
##' option \sQuote{Ncpus} (uses e.g. for parallel builds).
##' @title Set data.table threads respecting default settingss
##' @param ncores A numeric or character variable with the desired
##' count of threads to use
##' @param verbose A logical value with a default of \sQuote{FALSE} to
##' operate more verbosely
##' @return The return value of the \pkg{data.table} function
##' \code{setDTthreads} which is called as a side-effect.
##' @author Dirk Eddelbuettel
##' @export
limitDataTableCores <- function(ncores, verbose = FALSE) {
if (missing(ncores)) {
## start with a simple fallback: 'Ncpus' (if set) or else 2
ncores <- getOption("Ncpus", 2L)
## also consider OMP_THREAD_LIMIT (cf Writing R Extensions), gets
NA if envvar unset
ompcores <- as.integer(Sys.getenv("OMP_THREAD_LIMIT"))
## and then keep the smaller
ncores <- min(na.omit(c(ncores, ompcores)))
}
stopifnot("Package 'data.table' must be installed." =
requireNamespace("data.table", quietly=TRUE))
stopifnot("Argument 'ncores' must be numeric or character" =
is.numeric(ncores) || is.character(ncores))
if (verbose) message("Limiting data.table to '", ncores, "'.")
data.table::setDTthreads(ncores)
}
|
| --
| Best regards,
| Ivan
|
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--
dirk.eddelbuettel.com | @eddelbuettel | edd at debian.org