On 01/31/2018 06:39 PM, Ludwig Geistlinger wrote:
Hi,
I am currently considering the following snippet:
data.ids <- paste0("d", 1:5)
f <- function(x) paste("dataset", x, sep=" = ")
res <- BiocParallel::bplapply(data.ids, function(d) f(d))
Using a recent R-devel on both a Linux machine and a Mac machine, this works
fine.
However, on a Windows R-devel this throws:
Error: BiocParallel errors
element index: 1, 2, 3, 4, 5
first error: could not find function "f"
Is this a bug or is this related to the different ways in which parallel (for
windows here serial) computation is carried out?
Windows runs brand-new processes, whereas linux / mac use forked
processes that share the original process's memory. So Windows doesn't
know about the variables defined in the global environment. You can
mimick this on non Windows using SnowParam(), e.g.,
register(bpstart(SnowParam(2)) ## set up a cluster for the duration...
> res <- BiocParallel::bplapply(data.ids, function(d) f(d))
Error: BiocParallel errors
element index: 1, 2, 3, 4, 5
first error: could not find function "f"
The rule is that the environment of the FUN gets serialized to the
worker, up to the global environment. So
local({
f <- function(x) paste("dataset", x, sep=" = ")
BiocParallel::bplapply(data.ids, function(d) f(d))
})
works (FUN is defined in the local environment, the local environment
contains f and is serialized to the worker). This also implies that
BiocParallel will find functions that are in the same package as FUN.
A tweak
BiocParallel::bplapply(data.ids, f)
also works, because f (but not the .GlobalEnv in which it was defined)
is serialized.
You said 'for Windows here serial' but a SerialParam() just runs lapply
and would not have problems finding f.
Martin
Thanks,
Ludwig
--
Dr. Ludwig Geistlinger
CUNY School of Public Health
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