QUESTION: Is it possible to query number of active jobs running after launching them with parallel::mcparallel()?
For example, if I launch 3 jobs using: > library(parallel) > f <- lapply(1:3, FUN=mcparallel) then I can inspect them as: > str(f) List of 3 $ :List of 2 ..$ pid: int 142225 ..$ fd : int [1:2] 8 13 ..- attr(*, "class")= chr [1:3] "parallelJob" "childProcess" "process" $ :List of 2 ..$ pid: int 142226 ..$ fd : int [1:2] 10 15 ..- attr(*, "class")= chr [1:3] "parallelJob" "childProcess" "process" $ :List of 2 ..$ pid: int 142227 ..$ fd : int [1:2] 12 17 ..- attr(*, "class")= chr [1:3] "parallelJob" "childProcess" "process" However, if I launch them without "recording" them, or equivalently if I do: > f <- lapply(1:3, FUN=mcparallel) > rm(list="f") is there a function/mechanism in R/the parallel package allowing me to find the currently active/running processes? ... or at least query how many they are? I'd like to use this to prevent spawning of more than a maximum number of parallel processes. (Yes, I'm away of mclapply() and friends, but I'm looking at using more low-level mcparallel()/mccollect()). I'm trying to decide whether I should implement my own mechanism for keeping track of "jobs" or not. Thanks, Henrik ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel