>>>>> "HenrikB" == Henrik Bengtsson <[EMAIL PROTECTED]>
>>>>> on Fri, 15 Jul 2005 10:01:05 +0200 writes:
HenrikB> I'm trying to troubleshoot a case where R crashes on Windows. It
does
HenrikB> not occur at all with my R v2.1.0 patched (2005-05-09), but
happens on R
HenrikB> v2.1.1 (patched or non-patched) in many different cases. The R
HenrikB> v2.2.0dev (2005-07-15) also got this problem (although it won't
crash on
HenrikB> the below example). I previously reported this
HenrikB> (https://stat.ethz.ch/pipermail/r-devel/2005-June/033772.html) and
HenrikB> Duncan Murdoch kindly offered to look into the problem, but it is
HenrikB> tricky. Now I would like to track down in what patched R v2.1.0
the
HenrikB> problem first occurs and are now looking for reports from newer
version,
HenrikB> but pre-Rv2.1.1.
HenrikB> If you've got R v2.1.0 patched for Windows *after 2005-05-09*,
could you
HenrikB> please try the following in that version of R?
HenrikB> install.packages("R.oo")
HenrikB> library(R.oo)
HenrikB> author <- "dummy"
HenrikB> rdocFile <- system.file("misc", "Exception.R", package="R.oo")
HenrikB> cat("# Empty example code\n", file="Exception.Rex")
HenrikB> Rdoc$compile(rdocFile, destPath=tempdir())
HenrikB> print("successful!")
HenrikB> If you see "successful!", that version is "ok", otherwise R will
crash
HenrikB> (or alternatively incorrectly complain about an invalid regular
HenrikB> expression; rerun and it will crash the 2nd time). I would
appreciate a
HenrikB> lot if you report to me what you get and what is your version of
R?
HenrikB> Thanks a lot!
HenrikB> Note that this is most likely *not* due to R.oo (no
HenrikB> native code) - my wild guess is that it has to do
HenrikB> with a memory leak in the code for environments or
HenrikB> regular expressions.
but why would that only affect Windows ??
I've tried your example code also in Linux, and indeed I do see
quite some memory growth of the R process, particularly if I run
for(i in 1:40) Rdoc$compile(rdocFile, destPath=tempdir())
## which takes a few minutes
my R process size grows considerably (50% - 100% depending on
the measure I use in 'ps').
So I can confirm that your guess about memory leakage {or
something close} seems quite on target.
But please don't ask me to dig further here - not for the time
being, at least.
BTW, I get 10 warnings, both in R 2.1.0 and in 2.1.1 patched
(see below) --- but that's probably something not really
relevant here.
Martin
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