I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2): $> R --vanilla x <- c(0L, -2e9:2e9) # > Segmentation fault Tried to reproduce on Linux but the above worked as expected. Not an issue merely with the length of the vector; for example, x <- rep_len(1:10, 1e10) works, though the altrep vector must be long to reproduce: x <- c(0L, -1e9:1e9) #ok Segmentation faults occur with the following too: x <- (-2e9:2e9) + 1L
Operations with long altrep vectors cause segfaults on Windows
20 messages · Martin Maechler, iuke-tier@ey m@iii@g oii uiow@@edu, Jeroen Ooms +2 more
Hugh Parsonage
on Tue, 8 Sep 2020 18:08:11 +1000 writes:
> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2):
> $> R --vanilla
> x <- c(0L, -2e9:2e9)
> # > Segmentation fault
> Tried to reproduce on Linux but the above worked as expected. Not an
> issue merely with the length of the vector; for example, x <-
> rep_len(1:10, 1e10) works, though the altrep vector must be long to
> reproduce:
> x <- c(0L, -1e9:1e9) #ok
> Segmentation faults occur with the following too:
> x <- (-2e9:2e9) + 1L
Your operation would "need" (not in theory, but in practice)
to go from altrep to regular vectors.
I guess the segfault occurs because of something like this :
R asks Windows to hand it a huge amount of memory and Windows replies
"ok, here is the memory pointer"
and then R tries to write to there, but illegally (because
Windows should have told R that it does not really have enough
memory for that ..).
I cannot reproduce the segmentation fault .. but I can confirm
there is a bug there that shows for me on Windows but not on
Linux:
"My" Windows is on a terminalserver not with too many GB of memory
(but then in a version of Windows that recognizes that it cannot
get so much memory):
------------------------- Here some transcript (thanks to
using Emacs w/ ESS also on Windows) ------------------
R Under development (unstable) (2020-08-24 r79074) -- "Unsuffered Consequences"
Copyright (C) 2020 The R Foundation for Statistical Computing
Platform: x86_64-w64-mingw32/x64 (64-bit)
R ist freie Software und kommt OHNE JEGLICHE GARANTIE.
Sie sind eingeladen, es unter bestimmten Bedingungen weiter zu verbreiten.
Tippen Sie 'license()' or 'licence()' f?r Details dazu.
R ist ein Gemeinschaftsprojekt mit vielen Beitragenden.
Tippen Sie 'contributors()' f?r mehr Information und 'citation()',
um zu erfahren, wie R oder R packages in Publikationen zitiert werden k?nnen.
Tippen Sie 'demo()' f?r einige Demos, 'help()' f?r on-line Hilfe, oder
'help.start()' f?r eine HTML Browserschnittstelle zur Hilfe.
Tippen Sie 'q()', um R zu verlassen.
x <- (-2e9:2e9) + 1L
Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
y <- c(0L, -2e9:2e9)
Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
Sys.setenv(LANGUAGE="en") y <- c(0L, -2e9:2e9)
Error: cannot allocate vector of size 14.9 Gb
y <- -1e9:4e9 .Internal(inspect(y))
@0x00000000195a6808 14 REALSXP g0c0 [REF(65535)] -1000000000 : -294967296 (compact)
.Machine$integer.max / 1e9
[1] 2.147484
y <- -1e6:2.2e9 .Internal(inspect(y))
@0x000000000a11a5d8 14 REALSXP g0c0 [REF(65535)] -1000000 : -2094967296 (compact)
y <- -1e6:2e9 .Internal(inspect(y))
@0x000000000a13adf0 13 INTSXP g0c0 [REF(65535)] -1000000 : 2000000000 (compact)
------------------------- end of transcript ----------------------------------- So indeed, no seg.fault, R notices that it can't get 15 GB of memory. But the bug is bad news: We have *silent* integer overflow happening according to what .Internal(inspect(y)) shows... .... less bad new: Probably the bug is only in the 'internal inspect' code where a format specifier is used in C's printf() that does not work correctly on Windows, at least the way it is currently compiled .. On (64-bit) Linux, I get
y <- -1e9:4e9 ; .Internal(inspect(y))
@7d86388 14 REALSXP g0c0 [REF(65535)] -1000000000 : 4000000000 (compact)
y <- c(0L, y)
Error: cannot allocate vector of size 37.3 Gb which seems much better ... until I do find a bug, may again only in the C code underlying .Internal(inspect(.)) :
y <- -1e9:2e9 ; .Internal(inspect(y))
@7d86ac0 13 INTSXP g0c0 [REF(65535)] Error: long vectors not supported yet: ../../../R/src/main/altclasses.c:139
Martin Maechler
on Tue, 8 Sep 2020 10:40:24 +0200 writes:
Hugh Parsonage
on Tue, 8 Sep 2020 18:08:11 +1000 writes:
>> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2):
>> $> R --vanilla
>> x <- c(0L, -2e9:2e9)
>> # > Segmentation fault
>> Tried to reproduce on Linux but the above worked as expected. Not an
>> issue merely with the length of the vector; for example, x <-
>> rep_len(1:10, 1e10) works, though the altrep vector must be long to
>> reproduce:
>> x <- c(0L, -1e9:1e9) #ok
>> Segmentation faults occur with the following too:
>> x <- (-2e9:2e9) + 1L
> Your operation would "need" (not in theory, but in practice)
> to go from altrep to regular vectors.
> I guess the segfault occurs because of something like this :
> R asks Windows to hand it a huge amount of memory and Windows replies
> "ok, here is the memory pointer"
> and then R tries to write to there, but illegally (because
> Windows should have told R that it does not really have enough
> memory for that ..).
> I cannot reproduce the segmentation fault .. but I can confirm
> there is a bug there that shows for me on Windows but not on
> Linux:
> "My" Windows is on a terminalserver not with too many GB of memory
> (but then in a version of Windows that recognizes that it cannot
> get so much memory):
> ------------------------- Here some transcript (thanks to
> using Emacs w/ ESS also on Windows) ------------------
> R Under development (unstable) (2020-08-24 r79074) -- "Unsuffered Consequences"
> Copyright (C) 2020 The R Foundation for Statistical Computing
> Platform: x86_64-w64-mingw32/x64 (64-bit)
> R ist freie Software und kommt OHNE JEGLICHE GARANTIE.
> Sie sind eingeladen, es unter bestimmten Bedingungen weiter zu verbreiten.
> Tippen Sie 'license()' or 'licence()' f?r Details dazu.
> R ist ein Gemeinschaftsprojekt mit vielen Beitragenden.
> Tippen Sie 'contributors()' f?r mehr Information und 'citation()',
> um zu erfahren, wie R oder R packages in Publikationen zitiert werden k?nnen.
> Tippen Sie 'demo()' f?r einige Demos, 'help()' f?r on-line Hilfe, oder
> 'help.start()' f?r eine HTML Browserschnittstelle zur Hilfe.
> Tippen Sie 'q()', um R zu verlassen.
>> x <- (-2e9:2e9) + 1L
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> y <- c(0L, -2e9:2e9)
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> Sys.setenv(LANGUAGE="en")
>> y <- c(0L, -2e9:2e9)
> Error: cannot allocate vector of size 14.9 Gb
>> y <- -1e9:4e9
>> .Internal(inspect(y))
> @0x00000000195a6808 14 REALSXP g0c0 [REF(65535)] -1000000000 : -294967296 (compact)
>> .Machine$integer.max / 1e9
> [1] 2.147484
>> y <- -1e6:2.2e9
>> .Internal(inspect(y))
> @0x000000000a11a5d8 14 REALSXP g0c0 [REF(65535)] -1000000 : -2094967296 (compact)
>> y <- -1e6:2e9
>> .Internal(inspect(y))
> @0x000000000a13adf0 13 INTSXP g0c0 [REF(65535)] -1000000 : 2000000000 (compact)
>>
> ------------------------- end of transcript -----------------------------------
> So indeed, no seg.fault, R notices that it can't get 15 GB of
> memory.
> But the bug is bad news: We have *silent* integer overflow happening
> according to what .Internal(inspect(y)) shows...
> .... less bad new: Probably the bug is only in the 'internal inspect' code
> where a format specifier is used in C's printf() that does not work
> correctly on Windows, at least the way it is currently compiled ..
> On (64-bit) Linux, I get
>> y <- -1e9:4e9 ; .Internal(inspect(y))
> @7d86388 14 REALSXP g0c0 [REF(65535)] -1000000000 : 4000000000 (compact)
>> y <- c(0L, y)
> Error: cannot allocate vector of size 37.3 Gb
> which seems much better ... until I do find a bug, may again
> only in the C code underlying .Internal(inspect(.)) :
>> y <- -1e9:2e9 ; .Internal(inspect(y))
> @7d86ac0 13 INTSXP g0c0 [REF(65535)] Error: long vectors not supported yet: ../../../R/src/main/altclasses.c:139
>>
Indeed, the purported "integer overflow" (above) does not
happen.
It is "only" a 'printf' related bug inside .Internal(inspect(.)) on Windows.
*interestingly*, the above bug I've noticed on (64-bit) Linux
does *not* show on Windows (64-bit), at least not for that case:
On Windows, things are fine as long as they remain (compacted
aka 'ALTREP') INTSXP:
> y <- -1e3:2e9 ;.Internal(inspect(y))
@0x000000000a285648 13 INTSXP g0c0 [REF(65535)] -1000 : 2000000000 (compact)
> y <- -1e3:2.1e9 ;.Internal(inspect(y))
@0x0000000019925930 13 INTSXP g0c0 [REF(65535)] -1000 : 2100000000 (compact)
and here, y is correct, just the printing from
.Internal(inspect(y)) is bugous (probably prints the double as an integer):
> y <- -1e3:2.2e9 ; .Internal(inspect(y))
@0x00000000195c0178 14 REALSXP g0c0 [REF(65535)] -1000 : -2094967296 (compact)
> length(y)
[1] 2200001001
> tail(y)
[1] 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09
> tail(y) - 2.2e9
[1] -5 -4 -3 -2 -1 0
>
Thanks Martin. On further testing, it seems that the segmentation fault can only occur when the amount of obtainable memory is sufficiently high. On my machine (admittedly with other processes running): $ R --vanilla --max-mem-size=30G -e "x <- c(0L, -2e9:2e9)" Segmentation fault $ R --vanilla --max-mem-size=29G -e "x <- c(0L, -2e9:2e9)" Error: cannot allocate vector of size 14.9 Gb Execution halted
On Tue, 8 Sep 2020 at 18:52, Martin Maechler <maechler at stat.math.ethz.ch> wrote:
Martin Maechler
on Tue, 8 Sep 2020 10:40:24 +0200 writes:
Hugh Parsonage
on Tue, 8 Sep 2020 18:08:11 +1000 writes:
>> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2):
>> $> R --vanilla
>> x <- c(0L, -2e9:2e9)
>> # > Segmentation fault
>> Tried to reproduce on Linux but the above worked as expected. Not an
>> issue merely with the length of the vector; for example, x <-
>> rep_len(1:10, 1e10) works, though the altrep vector must be long to
>> reproduce:
>> x <- c(0L, -1e9:1e9) #ok
>> Segmentation faults occur with the following too:
>> x <- (-2e9:2e9) + 1L
> Your operation would "need" (not in theory, but in practice)
> to go from altrep to regular vectors.
> I guess the segfault occurs because of something like this :
> R asks Windows to hand it a huge amount of memory and Windows replies
> "ok, here is the memory pointer"
> and then R tries to write to there, but illegally (because
> Windows should have told R that it does not really have enough
> memory for that ..).
> I cannot reproduce the segmentation fault .. but I can confirm
> there is a bug there that shows for me on Windows but not on
> Linux:
> "My" Windows is on a terminalserver not with too many GB of memory
> (but then in a version of Windows that recognizes that it cannot
> get so much memory):
> ------------------------- Here some transcript (thanks to
> using Emacs w/ ESS also on Windows) ------------------
> R Under development (unstable) (2020-08-24 r79074) -- "Unsuffered Consequences"
> Copyright (C) 2020 The R Foundation for Statistical Computing
> Platform: x86_64-w64-mingw32/x64 (64-bit)
> R ist freie Software und kommt OHNE JEGLICHE GARANTIE.
> Sie sind eingeladen, es unter bestimmten Bedingungen weiter zu verbreiten.
> Tippen Sie 'license()' or 'licence()' f?r Details dazu.
> R ist ein Gemeinschaftsprojekt mit vielen Beitragenden.
> Tippen Sie 'contributors()' f?r mehr Information und 'citation()',
> um zu erfahren, wie R oder R packages in Publikationen zitiert werden k?nnen.
> Tippen Sie 'demo()' f?r einige Demos, 'help()' f?r on-line Hilfe, oder
> 'help.start()' f?r eine HTML Browserschnittstelle zur Hilfe.
> Tippen Sie 'q()', um R zu verlassen.
>> x <- (-2e9:2e9) + 1L
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> y <- c(0L, -2e9:2e9)
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> Sys.setenv(LANGUAGE="en")
>> y <- c(0L, -2e9:2e9)
> Error: cannot allocate vector of size 14.9 Gb
>> y <- -1e9:4e9
>> .Internal(inspect(y))
> @0x00000000195a6808 14 REALSXP g0c0 [REF(65535)] -1000000000 : -294967296 (compact)
>> .Machine$integer.max / 1e9
> [1] 2.147484
>> y <- -1e6:2.2e9
>> .Internal(inspect(y))
> @0x000000000a11a5d8 14 REALSXP g0c0 [REF(65535)] -1000000 : -2094967296 (compact)
>> y <- -1e6:2e9
>> .Internal(inspect(y))
> @0x000000000a13adf0 13 INTSXP g0c0 [REF(65535)] -1000000 : 2000000000 (compact)
>>
> ------------------------- end of transcript -----------------------------------
> So indeed, no seg.fault, R notices that it can't get 15 GB of
> memory.
> But the bug is bad news: We have *silent* integer overflow happening
> according to what .Internal(inspect(y)) shows...
> .... less bad new: Probably the bug is only in the 'internal inspect' code
> where a format specifier is used in C's printf() that does not work
> correctly on Windows, at least the way it is currently compiled ..
> On (64-bit) Linux, I get
>> y <- -1e9:4e9 ; .Internal(inspect(y))
> @7d86388 14 REALSXP g0c0 [REF(65535)] -1000000000 : 4000000000 (compact)
>> y <- c(0L, y)
> Error: cannot allocate vector of size 37.3 Gb
> which seems much better ... until I do find a bug, may again
> only in the C code underlying .Internal(inspect(.)) :
>> y <- -1e9:2e9 ; .Internal(inspect(y))
> @7d86ac0 13 INTSXP g0c0 [REF(65535)] Error: long vectors not supported yet: ../../../R/src/main/altclasses.c:139
>>
Indeed, the purported "integer overflow" (above) does not happen. It is "only" a 'printf' related bug inside .Internal(inspect(.)) on Windows. *interestingly*, the above bug I've noticed on (64-bit) Linux does *not* show on Windows (64-bit), at least not for that case: On Windows, things are fine as long as they remain (compacted aka 'ALTREP') INTSXP:
> y <- -1e3:2e9 ;.Internal(inspect(y))
@0x000000000a285648 13 INTSXP g0c0 [REF(65535)] -1000 : 2000000000 (compact)
> y <- -1e3:2.1e9 ;.Internal(inspect(y))
@0x0000000019925930 13 INTSXP g0c0 [REF(65535)] -1000 : 2100000000 (compact) and here, y is correct, just the printing from .Internal(inspect(y)) is bugous (probably prints the double as an integer):
> y <- -1e3:2.2e9 ; .Internal(inspect(y))
@0x00000000195c0178 14 REALSXP g0c0 [REF(65535)] -1000 : -2094967296 (compact)
> length(y)
[1] 2200001001
> tail(y)
[1] 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09
> tail(y) - 2.2e9
[1] -5 -4 -3 -2 -1 0
>
On Tue, 8 Sep 2020, Hugh Parsonage wrote:
Thanks Martin. On further testing, it seems that the segmentation fault can only occur when the amount of obtainable memory is sufficiently high. On my machine (admittedly with other processes running): $ R --vanilla --max-mem-size=30G -e "x <- c(0L, -2e9:2e9)" Segmentation fault $ R --vanilla --max-mem-size=29G -e "x <- c(0L, -2e9:2e9)" Error: cannot allocate vector of size 14.9 Gb Execution halted
Unfortunately I don't have access to a Windows machine with enough memory to get to the point of failure. If you have rtools and gdb installed can you run in gdb and see where the segfault is happening? Best, luke
On Tue, 8 Sep 2020 at 18:52, Martin Maechler <maechler at stat.math.ethz.ch> wrote:
Martin Maechler
on Tue, 8 Sep 2020 10:40:24 +0200 writes:
Hugh Parsonage
on Tue, 8 Sep 2020 18:08:11 +1000 writes:
>> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2):
>> $> R --vanilla >> x <- c(0L, -2e9:2e9)
>> # > Segmentation fault
>> Tried to reproduce on Linux but the above worked as expected. Not an >> issue merely with the length of the vector; for example, x <- >> rep_len(1:10, 1e10) works, though the altrep vector must be long to >> reproduce:
>> x <- c(0L, -1e9:1e9) #ok
>> Segmentation faults occur with the following too:
>> x <- (-2e9:2e9) + 1L
> Your operation would "need" (not in theory, but in practice) > to go from altrep to regular vectors. > I guess the segfault occurs because of something like this :
> R asks Windows to hand it a huge amount of memory and Windows replies > "ok, here is the memory pointer" > and then R tries to write to there, but illegally (because > Windows should have told R that it does not really have enough > memory for that ..).
> I cannot reproduce the segmentation fault .. but I can confirm > there is a bug there that shows for me on Windows but not on > Linux:
> "My" Windows is on a terminalserver not with too many GB of memory > (but then in a version of Windows that recognizes that it cannot > get so much memory):
> ------------------------- Here some transcript (thanks to > using Emacs w/ ESS also on Windows) ------------------
> R Under development (unstable) (2020-08-24 r79074) -- "Unsuffered Consequences" > Copyright (C) 2020 The R Foundation for Statistical Computing > Platform: x86_64-w64-mingw32/x64 (64-bit)
> R ist freie Software und kommt OHNE JEGLICHE GARANTIE. > Sie sind eingeladen, es unter bestimmten Bedingungen weiter zu verbreiten. > Tippen Sie 'license()' or 'licence()' f?r Details dazu.
> R ist ein Gemeinschaftsprojekt mit vielen Beitragenden. > Tippen Sie 'contributors()' f?r mehr Information und 'citation()', > um zu erfahren, wie R oder R packages in Publikationen zitiert werden k?nnen.
> Tippen Sie 'demo()' f?r einige Demos, 'help()' f?r on-line Hilfe, oder > 'help.start()' f?r eine HTML Browserschnittstelle zur Hilfe. > Tippen Sie 'q()', um R zu verlassen.
>> x <- (-2e9:2e9) + 1L
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> y <- c(0L, -2e9:2e9)
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> Sys.setenv(LANGUAGE="en") >> y <- c(0L, -2e9:2e9)
> Error: cannot allocate vector of size 14.9 Gb
>> y <- -1e9:4e9 >> .Internal(inspect(y))
> @0x00000000195a6808 14 REALSXP g0c0 [REF(65535)] -1000000000 : -294967296 (compact)
>> .Machine$integer.max / 1e9
> [1] 2.147484
>> y <- -1e6:2.2e9 >> .Internal(inspect(y))
> @0x000000000a11a5d8 14 REALSXP g0c0 [REF(65535)] -1000000 : -2094967296 (compact)
>> y <- -1e6:2e9 >> .Internal(inspect(y))
> @0x000000000a13adf0 13 INTSXP g0c0 [REF(65535)] -1000000 : 2000000000 (compact)
>>
> ------------------------- end of transcript -----------------------------------
> So indeed, no seg.fault, R notices that it can't get 15 GB of > memory.
> But the bug is bad news: We have *silent* integer overflow happening > according to what .Internal(inspect(y)) shows...
> .... less bad new: Probably the bug is only in the 'internal inspect' code > where a format specifier is used in C's printf() that does not work > correctly on Windows, at least the way it is currently compiled ..
> On (64-bit) Linux, I get
>> y <- -1e9:4e9 ; .Internal(inspect(y))
> @7d86388 14 REALSXP g0c0 [REF(65535)] -1000000000 : 4000000000 (compact)
>> y <- c(0L, y)
> Error: cannot allocate vector of size 37.3 Gb
> which seems much better ... until I do find a bug, may again > only in the C code underlying .Internal(inspect(.)) :
>> y <- -1e9:2e9 ; .Internal(inspect(y))
> @7d86ac0 13 INTSXP g0c0 [REF(65535)] Error: long vectors not supported yet: ../../../R/src/main/altclasses.c:139
>>
Indeed, the purported "integer overflow" (above) does not happen. It is "only" a 'printf' related bug inside .Internal(inspect(.)) on Windows. *interestingly*, the above bug I've noticed on (64-bit) Linux does *not* show on Windows (64-bit), at least not for that case: On Windows, things are fine as long as they remain (compacted aka 'ALTREP') INTSXP:
> y <- -1e3:2e9 ;.Internal(inspect(y))
@0x000000000a285648 13 INTSXP g0c0 [REF(65535)] -1000 : 2000000000 (compact)
> y <- -1e3:2.1e9 ;.Internal(inspect(y))
@0x0000000019925930 13 INTSXP g0c0 [REF(65535)] -1000 : 2100000000 (compact) and here, y is correct, just the printing from .Internal(inspect(y)) is bugous (probably prints the double as an integer):
> y <- -1e3:2.2e9 ; .Internal(inspect(y))
@0x00000000195c0178 14 REALSXP g0c0 [REF(65535)] -1000 : -2094967296 (compact)
> length(y)
[1] 2200001001
> tail(y)
[1] 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09
> tail(y) - 2.2e9
[1] -5 -4 -3 -2 -1 0
>
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Luke Tierney
Ralph E. Wareham Professor of Mathematical Sciences
University of Iowa Phone: 319-335-3386
Department of Statistics and Fax: 319-335-3017
Actuarial Science
241 Schaeffer Hall email: luke-tierney at uiowa.edu
Iowa City, IA 52242 WWW: http://www.stat.uiowa.edu
On Tue, 8 Sep 2020, Martin Maechler wrote:
Martin Maechler
on Tue, 8 Sep 2020 10:40:24 +0200 writes:
Hugh Parsonage
on Tue, 8 Sep 2020 18:08:11 +1000 writes:
>> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2):
>> $> R --vanilla >> x <- c(0L, -2e9:2e9)
>> # > Segmentation fault
>> Tried to reproduce on Linux but the above worked as expected. Not an >> issue merely with the length of the vector; for example, x <- >> rep_len(1:10, 1e10) works, though the altrep vector must be long to >> reproduce:
>> x <- c(0L, -1e9:1e9) #ok
>> Segmentation faults occur with the following too:
>> x <- (-2e9:2e9) + 1L
> Your operation would "need" (not in theory, but in practice) > to go from altrep to regular vectors. > I guess the segfault occurs because of something like this :
> R asks Windows to hand it a huge amount of memory and Windows replies > "ok, here is the memory pointer" > and then R tries to write to there, but illegally (because > Windows should have told R that it does not really have enough > memory for that ..).
> I cannot reproduce the segmentation fault .. but I can confirm > there is a bug there that shows for me on Windows but not on > Linux:
> "My" Windows is on a terminalserver not with too many GB of memory > (but then in a version of Windows that recognizes that it cannot > get so much memory):
> ------------------------- Here some transcript (thanks to > using Emacs w/ ESS also on Windows) ------------------
> R Under development (unstable) (2020-08-24 r79074) -- "Unsuffered Consequences" > Copyright (C) 2020 The R Foundation for Statistical Computing > Platform: x86_64-w64-mingw32/x64 (64-bit)
> R ist freie Software und kommt OHNE JEGLICHE GARANTIE. > Sie sind eingeladen, es unter bestimmten Bedingungen weiter zu verbreiten. > Tippen Sie 'license()' or 'licence()' f?r Details dazu.
> R ist ein Gemeinschaftsprojekt mit vielen Beitragenden. > Tippen Sie 'contributors()' f?r mehr Information und 'citation()', > um zu erfahren, wie R oder R packages in Publikationen zitiert werden k?nnen.
> Tippen Sie 'demo()' f?r einige Demos, 'help()' f?r on-line Hilfe, oder > 'help.start()' f?r eine HTML Browserschnittstelle zur Hilfe. > Tippen Sie 'q()', um R zu verlassen.
>> x <- (-2e9:2e9) + 1L
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> y <- c(0L, -2e9:2e9)
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> Sys.setenv(LANGUAGE="en") >> y <- c(0L, -2e9:2e9)
> Error: cannot allocate vector of size 14.9 Gb
>> y <- -1e9:4e9 >> .Internal(inspect(y))
> @0x00000000195a6808 14 REALSXP g0c0 [REF(65535)] -1000000000 : -294967296 (compact)
>> .Machine$integer.max / 1e9
> [1] 2.147484
>> y <- -1e6:2.2e9 >> .Internal(inspect(y))
> @0x000000000a11a5d8 14 REALSXP g0c0 [REF(65535)] -1000000 : -2094967296 (compact)
>> y <- -1e6:2e9 >> .Internal(inspect(y))
> @0x000000000a13adf0 13 INTSXP g0c0 [REF(65535)] -1000000 : 2000000000 (compact)
>>
> ------------------------- end of transcript -----------------------------------
> So indeed, no seg.fault, R notices that it can't get 15 GB of > memory.
> But the bug is bad news: We have *silent* integer overflow happening > according to what .Internal(inspect(y)) shows...
> .... less bad new: Probably the bug is only in the 'internal inspect' code > where a format specifier is used in C's printf() that does not work > correctly on Windows, at least the way it is currently compiled ..
> On (64-bit) Linux, I get
>> y <- -1e9:4e9 ; .Internal(inspect(y))
> @7d86388 14 REALSXP g0c0 [REF(65535)] -1000000000 : 4000000000 (compact)
>> y <- c(0L, y)
> Error: cannot allocate vector of size 37.3 Gb
> which seems much better ... until I do find a bug, may again > only in the C code underlying .Internal(inspect(.)) :
>> y <- -1e9:2e9 ; .Internal(inspect(y))
> @7d86ac0 13 INTSXP g0c0 [REF(65535)] Error: long vectors not supported yet: ../../../R/src/main/altclasses.c:139
>>
Indeed, the purported "integer overflow" (above) does not happen. It is "only" a 'printf' related bug inside .Internal(inspect(.)) on Windows. *interestingly*, the above bug I've noticed on (64-bit) Linux does *not* show on Windows (64-bit), at least not for that case: On Windows, things are fine as long as they remain (compacted aka 'ALTREP') INTSXP:
> y <- -1e3:2e9 ;.Internal(inspect(y))
@0x000000000a285648 13 INTSXP g0c0 [REF(65535)] -1000 : 2000000000 (compact)
> y <- -1e3:2.1e9 ;.Internal(inspect(y))
@0x0000000019925930 13 INTSXP g0c0 [REF(65535)] -1000 : 2100000000 (compact) and here, y is correct, just the printing from .Internal(inspect(y)) is bugous (probably prints the double as an integer):
It's a '%ld' that probably needs to be '%lld' for Windows. Will fix sometime soon. Best, luke
> y <- -1e3:2.2e9 ; .Internal(inspect(y))
@0x00000000195c0178 14 REALSXP g0c0 [REF(65535)] -1000 : -2094967296 (compact)
> length(y)
[1] 2200001001
> tail(y)
[1] 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09
> tail(y) - 2.2e9
[1] -5 -4 -3 -2 -1 0
>
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
Luke Tierney
Ralph E. Wareham Professor of Mathematical Sciences
University of Iowa Phone: 319-335-3386
Department of Statistics and Fax: 319-335-3017
Actuarial Science
241 Schaeffer Hall email: luke-tierney at uiowa.edu
Iowa City, IA 52242 WWW: http://www.stat.uiowa.edu
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
On Wed, 9 Sep 2020 at 00:32, <luke-tierney at uiowa.edu> wrote:
On Tue, 8 Sep 2020, Hugh Parsonage wrote:
Thanks Martin. On further testing, it seems that the segmentation fault can only occur when the amount of obtainable memory is sufficiently high. On my machine (admittedly with other processes running): $ R --vanilla --max-mem-size=30G -e "x <- c(0L, -2e9:2e9)" Segmentation fault $ R --vanilla --max-mem-size=29G -e "x <- c(0L, -2e9:2e9)" Error: cannot allocate vector of size 14.9 Gb Execution halted
Unfortunately I don't have access to a Windows machine with enough memory to get to the point of failure. If you have rtools and gdb installed can you run in gdb and see where the segfault is happening? Best, luke
On Tue, 8 Sep 2020 at 18:52, Martin Maechler <maechler at stat.math.ethz.ch> wrote:
Martin Maechler
on Tue, 8 Sep 2020 10:40:24 +0200 writes:
Hugh Parsonage
on Tue, 8 Sep 2020 18:08:11 +1000 writes:
>> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2):
>> $> R --vanilla >> x <- c(0L, -2e9:2e9)
>> # > Segmentation fault
>> Tried to reproduce on Linux but the above worked as expected. Not an >> issue merely with the length of the vector; for example, x <- >> rep_len(1:10, 1e10) works, though the altrep vector must be long to >> reproduce:
>> x <- c(0L, -1e9:1e9) #ok
>> Segmentation faults occur with the following too:
>> x <- (-2e9:2e9) + 1L
> Your operation would "need" (not in theory, but in practice) > to go from altrep to regular vectors. > I guess the segfault occurs because of something like this :
> R asks Windows to hand it a huge amount of memory and Windows replies > "ok, here is the memory pointer" > and then R tries to write to there, but illegally (because > Windows should have told R that it does not really have enough > memory for that ..).
> I cannot reproduce the segmentation fault .. but I can confirm > there is a bug there that shows for me on Windows but not on > Linux:
> "My" Windows is on a terminalserver not with too many GB of memory > (but then in a version of Windows that recognizes that it cannot > get so much memory):
> ------------------------- Here some transcript (thanks to > using Emacs w/ ESS also on Windows) ------------------
> R Under development (unstable) (2020-08-24 r79074) -- "Unsuffered Consequences" > Copyright (C) 2020 The R Foundation for Statistical Computing > Platform: x86_64-w64-mingw32/x64 (64-bit)
> R ist freie Software und kommt OHNE JEGLICHE GARANTIE. > Sie sind eingeladen, es unter bestimmten Bedingungen weiter zu verbreiten. > Tippen Sie 'license()' or 'licence()' f?r Details dazu.
> R ist ein Gemeinschaftsprojekt mit vielen Beitragenden. > Tippen Sie 'contributors()' f?r mehr Information und 'citation()', > um zu erfahren, wie R oder R packages in Publikationen zitiert werden k?nnen.
> Tippen Sie 'demo()' f?r einige Demos, 'help()' f?r on-line Hilfe, oder > 'help.start()' f?r eine HTML Browserschnittstelle zur Hilfe. > Tippen Sie 'q()', um R zu verlassen.
>> x <- (-2e9:2e9) + 1L
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> y <- c(0L, -2e9:2e9)
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> Sys.setenv(LANGUAGE="en") >> y <- c(0L, -2e9:2e9)
> Error: cannot allocate vector of size 14.9 Gb
>> y <- -1e9:4e9 >> .Internal(inspect(y))
> @0x00000000195a6808 14 REALSXP g0c0 [REF(65535)] -1000000000 : -294967296 (compact)
>> .Machine$integer.max / 1e9
> [1] 2.147484
>> y <- -1e6:2.2e9 >> .Internal(inspect(y))
> @0x000000000a11a5d8 14 REALSXP g0c0 [REF(65535)] -1000000 : -2094967296 (compact)
>> y <- -1e6:2e9 >> .Internal(inspect(y))
> @0x000000000a13adf0 13 INTSXP g0c0 [REF(65535)] -1000000 : 2000000000 (compact)
>>
> ------------------------- end of transcript -----------------------------------
> So indeed, no seg.fault, R notices that it can't get 15 GB of > memory.
> But the bug is bad news: We have *silent* integer overflow happening > according to what .Internal(inspect(y)) shows...
> .... less bad new: Probably the bug is only in the 'internal inspect' code > where a format specifier is used in C's printf() that does not work > correctly on Windows, at least the way it is currently compiled ..
> On (64-bit) Linux, I get
>> y <- -1e9:4e9 ; .Internal(inspect(y))
> @7d86388 14 REALSXP g0c0 [REF(65535)] -1000000000 : 4000000000 (compact)
>> y <- c(0L, y)
> Error: cannot allocate vector of size 37.3 Gb
> which seems much better ... until I do find a bug, may again > only in the C code underlying .Internal(inspect(.)) :
>> y <- -1e9:2e9 ; .Internal(inspect(y))
> @7d86ac0 13 INTSXP g0c0 [REF(65535)] Error: long vectors not supported yet: ../../../R/src/main/altclasses.c:139
>>
Indeed, the purported "integer overflow" (above) does not happen. It is "only" a 'printf' related bug inside .Internal(inspect(.)) on Windows. *interestingly*, the above bug I've noticed on (64-bit) Linux does *not* show on Windows (64-bit), at least not for that case: On Windows, things are fine as long as they remain (compacted aka 'ALTREP') INTSXP:
> y <- -1e3:2e9 ;.Internal(inspect(y))
@0x000000000a285648 13 INTSXP g0c0 [REF(65535)] -1000 : 2000000000 (compact)
> y <- -1e3:2.1e9 ;.Internal(inspect(y))
@0x0000000019925930 13 INTSXP g0c0 [REF(65535)] -1000 : 2100000000 (compact) and here, y is correct, just the printing from .Internal(inspect(y)) is bugous (probably prints the double as an integer):
> y <- -1e3:2.2e9 ; .Internal(inspect(y))
@0x00000000195c0178 14 REALSXP g0c0 [REF(65535)] -1000 : -2094967296 (compact)
> length(y)
[1] 2200001001
> tail(y)
[1] 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09
> tail(y) - 2.2e9
[1] -5 -4 -3 -2 -1 0
>
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
--
Luke Tierney
Ralph E. Wareham Professor of Mathematical Sciences
University of Iowa Phone: 319-335-3386
Department of Statistics and Fax: 319-335-3017
Actuarial Science
241 Schaeffer Hall email: luke-tierney at uiowa.edu
Iowa City, IA 52242 WWW: http://www.stat.uiowa.edu
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)). Tomas
On Wed, 9 Sep 2020 at 00:32, <luke-tierney at uiowa.edu> wrote:
On Tue, 8 Sep 2020, Hugh Parsonage wrote:
Thanks Martin. On further testing, it seems that the segmentation fault can only occur when the amount of obtainable memory is sufficiently high. On my machine (admittedly with other processes running): $ R --vanilla --max-mem-size=30G -e "x <- c(0L, -2e9:2e9)" Segmentation fault $ R --vanilla --max-mem-size=29G -e "x <- c(0L, -2e9:2e9)" Error: cannot allocate vector of size 14.9 Gb Execution halted
Unfortunately I don't have access to a Windows machine with enough memory to get to the point of failure. If you have rtools and gdb installed can you run in gdb and see where the segfault is happening? Best, luke
On Tue, 8 Sep 2020 at 18:52, Martin Maechler <maechler at stat.math.ethz.ch> wrote:
Martin Maechler
on Tue, 8 Sep 2020 10:40:24 +0200 writes:
Hugh Parsonage
on Tue, 8 Sep 2020 18:08:11 +1000 writes:
>> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2):
>> $> R --vanilla
>> x <- c(0L, -2e9:2e9)
>> # > Segmentation fault
>> Tried to reproduce on Linux but the above worked as expected. Not an
>> issue merely with the length of the vector; for example, x <-
>> rep_len(1:10, 1e10) works, though the altrep vector must be long to
>> reproduce:
>> x <- c(0L, -1e9:1e9) #ok
>> Segmentation faults occur with the following too:
>> x <- (-2e9:2e9) + 1L
> Your operation would "need" (not in theory, but in practice)
> to go from altrep to regular vectors.
> I guess the segfault occurs because of something like this :
> R asks Windows to hand it a huge amount of memory and Windows replies
> "ok, here is the memory pointer"
> and then R tries to write to there, but illegally (because
> Windows should have told R that it does not really have enough
> memory for that ..).
> I cannot reproduce the segmentation fault .. but I can confirm
> there is a bug there that shows for me on Windows but not on
> Linux:
> "My" Windows is on a terminalserver not with too many GB of memory
> (but then in a version of Windows that recognizes that it cannot
> get so much memory):
> ------------------------- Here some transcript (thanks to
> using Emacs w/ ESS also on Windows) ------------------
> R Under development (unstable) (2020-08-24 r79074) -- "Unsuffered Consequences"
> Copyright (C) 2020 The R Foundation for Statistical Computing
> Platform: x86_64-w64-mingw32/x64 (64-bit)
> R ist freie Software und kommt OHNE JEGLICHE GARANTIE.
> Sie sind eingeladen, es unter bestimmten Bedingungen weiter zu verbreiten.
> Tippen Sie 'license()' or 'licence()' f?r Details dazu.
> R ist ein Gemeinschaftsprojekt mit vielen Beitragenden.
> Tippen Sie 'contributors()' f?r mehr Information und 'citation()',
> um zu erfahren, wie R oder R packages in Publikationen zitiert werden k?nnen.
> Tippen Sie 'demo()' f?r einige Demos, 'help()' f?r on-line Hilfe, oder
> 'help.start()' f?r eine HTML Browserschnittstelle zur Hilfe.
> Tippen Sie 'q()', um R zu verlassen.
>> x <- (-2e9:2e9) + 1L
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> y <- c(0L, -2e9:2e9)
> Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> Sys.setenv(LANGUAGE="en")
>> y <- c(0L, -2e9:2e9)
> Error: cannot allocate vector of size 14.9 Gb
>> y <- -1e9:4e9
>> .Internal(inspect(y))
> @0x00000000195a6808 14 REALSXP g0c0 [REF(65535)] -1000000000 : -294967296 (compact)
>> .Machine$integer.max / 1e9
> [1] 2.147484
>> y <- -1e6:2.2e9
>> .Internal(inspect(y))
> @0x000000000a11a5d8 14 REALSXP g0c0 [REF(65535)] -1000000 : -2094967296 (compact)
>> y <- -1e6:2e9
>> .Internal(inspect(y))
> @0x000000000a13adf0 13 INTSXP g0c0 [REF(65535)] -1000000 : 2000000000 (compact)
>>
> ------------------------- end of transcript -----------------------------------
> So indeed, no seg.fault, R notices that it can't get 15 GB of
> memory.
> But the bug is bad news: We have *silent* integer overflow happening
> according to what .Internal(inspect(y)) shows...
> .... less bad new: Probably the bug is only in the 'internal inspect' code
> where a format specifier is used in C's printf() that does not work
> correctly on Windows, at least the way it is currently compiled ..
> On (64-bit) Linux, I get
>> y <- -1e9:4e9 ; .Internal(inspect(y))
> @7d86388 14 REALSXP g0c0 [REF(65535)] -1000000000 : 4000000000 (compact)
>> y <- c(0L, y)
> Error: cannot allocate vector of size 37.3 Gb
> which seems much better ... until I do find a bug, may again
> only in the C code underlying .Internal(inspect(.)) :
>> y <- -1e9:2e9 ; .Internal(inspect(y))
> @7d86ac0 13 INTSXP g0c0 [REF(65535)] Error: long vectors not supported yet: ../../../R/src/main/altclasses.c:139
>>
Indeed, the purported "integer overflow" (above) does not happen. It is "only" a 'printf' related bug inside .Internal(inspect(.)) on Windows. *interestingly*, the above bug I've noticed on (64-bit) Linux does *not* show on Windows (64-bit), at least not for that case: On Windows, things are fine as long as they remain (compacted aka 'ALTREP') INTSXP:
> y <- -1e3:2e9 ;.Internal(inspect(y))
@0x000000000a285648 13 INTSXP g0c0 [REF(65535)] -1000 : 2000000000 (compact)
> y <- -1e3:2.1e9 ;.Internal(inspect(y))
@0x0000000019925930 13 INTSXP g0c0 [REF(65535)] -1000 : 2100000000 (compact) and here, y is correct, just the printing from .Internal(inspect(y)) is bugous (probably prints the double as an integer):
> y <- -1e3:2.2e9 ; .Internal(inspect(y))
@0x00000000195c0178 14 REALSXP g0c0 [REF(65535)] -1000 : -2094967296 (compact)
> length(y)
[1] 2200001001
> tail(y)
[1] 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09
> tail(y) - 2.2e9
[1] -5 -4 -3 -2 -1 0
>
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
--
Luke Tierney
Ralph E. Wareham Professor of Mathematical Sciences
University of Iowa Phone: 319-335-3386
Department of Statistics and Fax: 319-335-3017
Actuarial Science
241 Schaeffer Hall email: luke-tierney at uiowa.edu
Iowa City, IA 52242 WWW: http://www.stat.uiowa.edu
______________________________________________ R-devel at r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
luke-tierney
on Tue, 8 Sep 2020 09:42:43 -0500 (CDT) writes:
> On Tue, 8 Sep 2020, Martin Maechler wrote:
>>>>>>> Martin Maechler
>>>>>>> on Tue, 8 Sep 2020 10:40:24 +0200 writes:
>>
>>>>>>> Hugh Parsonage
>>>>>>> on Tue, 8 Sep 2020 18:08:11 +1000 writes:
>>
>> >> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2):
>>
>> >> $> R --vanilla
>> >> x <- c(0L, -2e9:2e9)
>>
>> >> # > Segmentation fault
>>
>> >> Tried to reproduce on Linux but the above worked as expected. Not an
>> >> issue merely with the length of the vector; for example, x <-
>> >> rep_len(1:10, 1e10) works, though the altrep vector must be long to
>> >> reproduce:
>>
>> >> x <- c(0L, -1e9:1e9) #ok
>>
>> >> Segmentation faults occur with the following too:
>>
>> >> x <- (-2e9:2e9) + 1L
>>
>> > Your operation would "need" (not in theory, but in practice)
>> > to go from altrep to regular vectors.
>> > I guess the segfault occurs because of something like this :
>>
>> > R asks Windows to hand it a huge amount of memory and Windows replies
>> > "ok, here is the memory pointer"
>> > and then R tries to write to there, but illegally (because
>> > Windows should have told R that it does not really have enough
>> > memory for that ..).
>>
>> > I cannot reproduce the segmentation fault .. but I can confirm
>> > there is a bug there that shows for me on Windows but not on
>> > Linux:
>>
>> > "My" Windows is on a terminalserver not with too many GB of memory
>> > (but then in a version of Windows that recognizes that it cannot
>> > get so much memory):
>>
>> > ------------------------- Here some transcript (thanks to
>> > using Emacs w/ ESS also on Windows) ------------------
>>
>> > R Under development (unstable) (2020-08-24 r79074) -- "Unsuffered Consequences"
>> > Copyright (C) 2020 The R Foundation for Statistical Computing
>> > Platform: x86_64-w64-mingw32/x64 (64-bit)
>>
>> > R ist freie Software und kommt OHNE JEGLICHE GARANTIE.
>> > Sie sind eingeladen, es unter bestimmten Bedingungen weiter zu verbreiten.
>> > Tippen Sie 'license()' or 'licence()' f?r Details dazu.
>>
>> > R ist ein Gemeinschaftsprojekt mit vielen Beitragenden.
>> > Tippen Sie 'contributors()' f?r mehr Information und 'citation()',
>> > um zu erfahren, wie R oder R packages in Publikationen zitiert werden k?nnen.
>>
>> > Tippen Sie 'demo()' f?r einige Demos, 'help()' f?r on-line Hilfe, oder
>> > 'help.start()' f?r eine HTML Browserschnittstelle zur Hilfe.
>> > Tippen Sie 'q()', um R zu verlassen.
>>
>> >> x <- (-2e9:2e9) + 1L
>> > Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> >> y <- c(0L, -2e9:2e9)
>> > Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> >> Sys.setenv(LANGUAGE="en")
>> >> y <- c(0L, -2e9:2e9)
>> > Error: cannot allocate vector of size 14.9 Gb
>> >> y <- -1e9:4e9
>> >> .Internal(inspect(y))
>> > @0x00000000195a6808 14 REALSXP g0c0 [REF(65535)] -1000000000 : -294967296 (compact)
>> >> .Machine$integer.max / 1e9
>> > [1] 2.147484
>> >> y <- -1e6:2.2e9
>> >> .Internal(inspect(y))
>> > @0x000000000a11a5d8 14 REALSXP g0c0 [REF(65535)] -1000000 : -2094967296 (compact)
>> >> y <- -1e6:2e9
>> >> .Internal(inspect(y))
>> > @0x000000000a13adf0 13 INTSXP g0c0 [REF(65535)] -1000000 : 2000000000 (compact)
>> >>
>> > ------------------------- end of transcript -----------------------------------
>>
>> > So indeed, no seg.fault, R notices that it can't get 15 GB of
>> > memory.
>>
>> > But the bug is bad news: We have *silent* integer overflow happening
>> > according to what .Internal(inspect(y)) shows...
>>
>> > .... less bad new: Probably the bug is only in the 'internal inspect' code
>> > where a format specifier is used in C's printf() that does not work
>> > correctly on Windows, at least the way it is currently compiled ..
>>
>>
>> > On (64-bit) Linux, I get
>>
>> >> y <- -1e9:4e9 ; .Internal(inspect(y))
>> > @7d86388 14 REALSXP g0c0 [REF(65535)] -1000000000 : 4000000000 (compact)
>>
>> >> y <- c(0L, y)
>> > Error: cannot allocate vector of size 37.3 Gb
>>
>> > which seems much better ... until I do find a bug, may again
>> > only in the C code underlying .Internal(inspect(.)) :
>>
>> >> y <- -1e9:2e9 ; .Internal(inspect(y))
>> > @7d86ac0 13 INTSXP g0c0 [REF(65535)] Error: long vectors not supported yet: ../../../R/src/main/altclasses.c:139
>> >>
>>
>> Indeed, the purported "integer overflow" (above) does not
>> happen.
>> It is "only" a 'printf' related bug inside .Internal(inspect(.)) on Windows.
>>
>> *interestingly*, the above bug I've noticed on (64-bit) Linux
>> does *not* show on Windows (64-bit), at least not for that case:
>>
>> On Windows, things are fine as long as they remain (compacted
>> aka 'ALTREP') INTSXP:
>>
>> > y <- -1e3:2e9 ;.Internal(inspect(y))
>> @0x000000000a285648 13 INTSXP g0c0 [REF(65535)] -1000 : 2000000000 (compact)
>> > y <- -1e3:2.1e9 ;.Internal(inspect(y))
>> @0x0000000019925930 13 INTSXP g0c0 [REF(65535)] -1000 : 2100000000 (compact)
>>
>> and here, y is correct, just the printing from
>> .Internal(inspect(y)) is bugous (probably prints the double as an integer):
> It's a '%ld' that probably needs to be '%lld' for Windows. Will fix
> sometime soon.
> Best,
> luke
I had guessed at something like that .. but "interestingly" it
was quite different:
Our code use int n = LENGTH(.);
and the error message above was triggered there.
I've committed a fix to both R-devel and R-patched (and added a
regression test),
but I still wonder why the above error had not triggered on Windows...
Martin
>>
>> > y <- -1e3:2.2e9 ; .Internal(inspect(y))
>> @0x00000000195c0178 14 REALSXP g0c0 [REF(65535)] -1000 : -2094967296 (compact)
>> > length(y)
>> [1] 2200001001
>> > tail(y)
>> [1] 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09
>> > tail(y) - 2.2e9
>> [1] -5 -4 -3 -2 -1 0
>> >
>>
>> ______________________________________________
>> R-devel at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-devel
>>
> --
> Luke Tierney
> Ralph E. Wareham Professor of Mathematical Sciences
> University of Iowa Phone: 319-335-3386
> Department of Statistics and Fax: 319-335-3017
> Actuarial Science
> 241 Schaeffer Hall email: luke-tierney at uiowa.edu
> Iowa City, IA 52242 WWW: http://www.stat.uiowa.edu
On Tue, 8 Sep 2020, Martin Maechler wrote:
luke-tierney
on Tue, 8 Sep 2020 09:42:43 -0500 (CDT) writes:
> On Tue, 8 Sep 2020, Martin Maechler wrote:
>>>>>>> Martin Maechler >>>>>>> on Tue, 8 Sep 2020 10:40:24 +0200 writes:
>>
>>>>>>> Hugh Parsonage >>>>>>> on Tue, 8 Sep 2020 18:08:11 +1000 writes:
>>
>> >> I can only reproduce on Windows, but reliably (both 4.0.0 and 4.0.2):
>>
>> >> $> R --vanilla >> >> x <- c(0L, -2e9:2e9)
>>
>> >> # > Segmentation fault
>>
>> >> Tried to reproduce on Linux but the above worked as expected. Not an >> >> issue merely with the length of the vector; for example, x <- >> >> rep_len(1:10, 1e10) works, though the altrep vector must be long to >> >> reproduce:
>>
>> >> x <- c(0L, -1e9:1e9) #ok
>>
>> >> Segmentation faults occur with the following too:
>>
>> >> x <- (-2e9:2e9) + 1L
>>
>> > Your operation would "need" (not in theory, but in practice) >> > to go from altrep to regular vectors. >> > I guess the segfault occurs because of something like this :
>>
>> > R asks Windows to hand it a huge amount of memory and Windows replies >> > "ok, here is the memory pointer" >> > and then R tries to write to there, but illegally (because >> > Windows should have told R that it does not really have enough >> > memory for that ..).
>>
>> > I cannot reproduce the segmentation fault .. but I can confirm >> > there is a bug there that shows for me on Windows but not on >> > Linux:
>>
>> > "My" Windows is on a terminalserver not with too many GB of memory >> > (but then in a version of Windows that recognizes that it cannot >> > get so much memory):
>>
>> > ------------------------- Here some transcript (thanks to >> > using Emacs w/ ESS also on Windows) ------------------
>>
>> > R Under development (unstable) (2020-08-24 r79074) -- "Unsuffered Consequences" >> > Copyright (C) 2020 The R Foundation for Statistical Computing >> > Platform: x86_64-w64-mingw32/x64 (64-bit)
>>
>> > R ist freie Software und kommt OHNE JEGLICHE GARANTIE. >> > Sie sind eingeladen, es unter bestimmten Bedingungen weiter zu verbreiten. >> > Tippen Sie 'license()' or 'licence()' f?r Details dazu.
>>
>> > R ist ein Gemeinschaftsprojekt mit vielen Beitragenden. >> > Tippen Sie 'contributors()' f?r mehr Information und 'citation()', >> > um zu erfahren, wie R oder R packages in Publikationen zitiert werden k?nnen.
>>
>> > Tippen Sie 'demo()' f?r einige Demos, 'help()' f?r on-line Hilfe, oder >> > 'help.start()' f?r eine HTML Browserschnittstelle zur Hilfe. >> > Tippen Sie 'q()', um R zu verlassen.
>>
>> >> x <- (-2e9:2e9) + 1L
>> > Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> >> y <- c(0L, -2e9:2e9)
>> > Fehler: kann Vektor der Gr??e 14.9 GB nicht allozieren
>> >> Sys.setenv(LANGUAGE="en") >> >> y <- c(0L, -2e9:2e9)
>> > Error: cannot allocate vector of size 14.9 Gb
>> >> y <- -1e9:4e9 >> >> .Internal(inspect(y))
>> > @0x00000000195a6808 14 REALSXP g0c0 [REF(65535)] -1000000000 : -294967296 (compact)
>> >> .Machine$integer.max / 1e9
>> > [1] 2.147484
>> >> y <- -1e6:2.2e9 >> >> .Internal(inspect(y))
>> > @0x000000000a11a5d8 14 REALSXP g0c0 [REF(65535)] -1000000 : -2094967296 (compact)
>> >> y <- -1e6:2e9 >> >> .Internal(inspect(y))
>> > @0x000000000a13adf0 13 INTSXP g0c0 [REF(65535)] -1000000 : 2000000000 (compact)
>> >>
>> > ------------------------- end of transcript -----------------------------------
>>
>> > So indeed, no seg.fault, R notices that it can't get 15 GB of >> > memory.
>>
>> > But the bug is bad news: We have *silent* integer overflow happening >> > according to what .Internal(inspect(y)) shows...
>>
>> > .... less bad new: Probably the bug is only in the 'internal inspect' code >> > where a format specifier is used in C's printf() that does not work >> > correctly on Windows, at least the way it is currently compiled ..
>> >>
>> > On (64-bit) Linux, I get
>>
>> >> y <- -1e9:4e9 ; .Internal(inspect(y))
>> > @7d86388 14 REALSXP g0c0 [REF(65535)] -1000000000 : 4000000000 (compact)
>>
>> >> y <- c(0L, y)
>> > Error: cannot allocate vector of size 37.3 Gb
>>
>> > which seems much better ... until I do find a bug, may again >> > only in the C code underlying .Internal(inspect(.)) :
>>
>> >> y <- -1e9:2e9 ; .Internal(inspect(y))
>> > @7d86ac0 13 INTSXP g0c0 [REF(65535)] Error: long vectors not supported yet: ../../../R/src/main/altclasses.c:139
>> >>
>> >> Indeed, the purported "integer overflow" (above) does not >> happen. >> It is "only" a 'printf' related bug inside .Internal(inspect(.)) on Windows. >> >> *interestingly*, the above bug I've noticed on (64-bit) Linux >> does *not* show on Windows (64-bit), at least not for that case: >> >> On Windows, things are fine as long as they remain (compacted >> aka 'ALTREP') INTSXP: >>
>> > y <- -1e3:2e9 ;.Internal(inspect(y))
>> @0x000000000a285648 13 INTSXP g0c0 [REF(65535)] -1000 : 2000000000 (compact)
>> > y <- -1e3:2.1e9 ;.Internal(inspect(y))
>> @0x0000000019925930 13 INTSXP g0c0 [REF(65535)] -1000 : 2100000000 (compact) >> >> and here, y is correct, just the printing from >> .Internal(inspect(y)) is bugous (probably prints the double as an integer):
> It's a '%ld' that probably needs to be '%lld' for Windows. Will fix > sometime soon.
> Best, > luke
I had guessed at something like that .. but "interestingly" it was quite different: Our code use int n = LENGTH(.); and the error message above was triggered there. I've committed a fix to both R-devel and R-patched (and added a regression test), but I still wonder why the above error had not triggered on Windows...
It does for me without the fix, so no additional Windows quirk here at least. Best, luke
Martin
>>
>> > y <- -1e3:2.2e9 ; .Internal(inspect(y))
>> @0x00000000195c0178 14 REALSXP g0c0 [REF(65535)] -1000 : -2094967296 (compact)
>> > length(y)
>> [1] 2200001001
>> > tail(y)
>> [1] 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09 2.2e+09
>> > tail(y) - 2.2e9
>> [1] -5 -4 -3 -2 -1 0
>> >
>> >> ______________________________________________ >> R-devel at r-project.org mailing list >> https://stat.ethz.ch/mailman/listinfo/r-devel >>
> -- > Luke Tierney > Ralph E. Wareham Professor of Mathematical Sciences > University of Iowa Phone: 319-335-3386 > Department of Statistics and Fax: 319-335-3017 > Actuarial Science > 241 Schaeffer Hall email: luke-tierney at uiowa.edu > Iowa City, IA 52242 WWW: http://www.stat.uiowa.edu
Luke Tierney
Ralph E. Wareham Professor of Mathematical Sciences
University of Iowa Phone: 319-335-3386
Department of Statistics and Fax: 319-335-3017
Actuarial Science
241 Schaeffer Hall email: luke-tierney at uiowa.edu
Iowa City, IA 52242 WWW: http://www.stat.uiowa.edu
On Tue, Sep 8, 2020 at 5:20 PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)).
Debug builds for each revision are available from https://r-devel.github.io . To download the installer you need to click the github icon in the last column in the table. You need to be signed in with a (free) Github account in order to download builds (artifacts) from Github actions. It will show download links for both the regular installer and installer with debug symbols. In other news, the https://r-devel.github.io table also shows that the fix that martin committed is segfaulting on 32-bit.
On Tue, Sep 8, 2020 at 11:44 PM Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 5:20 PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)).
Debug builds for each revision are available from https://r-devel.github.io . To download the installer you need to click the github icon in the last column in the table. You need to be signed in with a (free) Github account in order to download builds (artifacts) from Github actions. It will show download links for both the regular installer and installer with debug symbols. In other news, the https://r-devel.github.io table also shows that the fix that martin committed is segfaulting on 32-bit.
Sorry that was inaccurate, it is not segfaulting at all, but the unit test is raising an error on 32-bit.
I am unable to set break or use gdb with any success when I use that version. On linux I would do R -d gdb but this gives "unknown option '-d' " while gdb R.exe (in the same directory as the debug version) gives the same output as before. I'm happy to help but I appreciate this list might not be the best place to get a tutorial on using gdb on Windows.
On Wed, 9 Sep 2020 at 07:47, Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 11:44 PM Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 5:20 PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)).
Debug builds for each revision are available from https://r-devel.github.io . To download the installer you need to click the github icon in the last column in the table. You need to be signed in with a (free) Github account in order to download builds (artifacts) from Github actions. It will show download links for both the regular installer and installer with debug symbols. In other news, the https://r-devel.github.io table also shows that the fix that martin committed is segfaulting on 32-bit.
Sorry that was inaccurate, it is not segfaulting at all, but the unit test is raising an error on 32-bit.
On 9/9/20 8:48 AM, Hugh Parsonage wrote:
I am unable to set break or use gdb with any success when I use that version. On linux I would do R -d gdb but this gives "unknown option '-d' " while gdb R.exe (in the same directory as the debug version) gives the same output as before. I'm happy to help but I appreciate this list might not be the best place to get a tutorial on using gdb on Windows.
Essentially, the steps are: build with DEBUG=T (to have debug symbols), possibly updating EOPTS in MkRules.local to disable optimizations, then run gdb loading RGui, "set solib-search-path", run RGui from gdb. Then you can break to debugger from RGui menu, or just run the code that segfaults, and you get to gdb and can print the stacktrace, etc. You can find some information in rw-FAQ (R for Windows FAQ), but yes, it is harder than on Linux. We can take care of this report, but of course in the longer term it would help if more people could take their time to setup debugging and analyze bugs even on Windows. Tomas
On Wed, 9 Sep 2020 at 07:47, Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 11:44 PM Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 5:20 PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)).
Debug builds for each revision are available from https://r-devel.github.io . To download the installer you need to click the github icon in the last column in the table. You need to be signed in with a (free) Github account in order to download builds (artifacts) from Github actions. It will show download links for both the regular installer and installer with debug symbols. In other news, the https://r-devel.github.io table also shows that the fix that martin committed is segfaulting on 32-bit.
Sorry that was inaccurate, it is not segfaulting at all, but the unit test is raising an error on 32-bit.
Thank you! I get Starting program: C:\R\R-devel-20200909\bin\x64\Rgui.exe [New Thread 19940.0x638c] [New Thread 19940.0x102c] [New Thread 19940.0x329c] [New Thread 19940.0x37dc] warning: Invalid parameter passed to C runtime function. Program received signal SIGSEGV, Segmentation fault. 0x000000006c72d206 in compact_intseq_Dataptr (x=0x12783350, writeable=<optimized out>) at altclasses.c:169 169 altclasses.c: No such file or directory.
On Wed, 9 Sep 2020 at 17:03, Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/9/20 8:48 AM, Hugh Parsonage wrote:
I am unable to set break or use gdb with any success when I use that version. On linux I would do R -d gdb but this gives "unknown option '-d' " while gdb R.exe (in the same directory as the debug version) gives the same output as before. I'm happy to help but I appreciate this list might not be the best place to get a tutorial on using gdb on Windows.
Essentially, the steps are: build with DEBUG=T (to have debug symbols), possibly updating EOPTS in MkRules.local to disable optimizations, then run gdb loading RGui, "set solib-search-path", run RGui from gdb. Then you can break to debugger from RGui menu, or just run the code that segfaults, and you get to gdb and can print the stacktrace, etc. You can find some information in rw-FAQ (R for Windows FAQ), but yes, it is harder than on Linux. We can take care of this report, but of course in the longer term it would help if more people could take their time to setup debugging and analyze bugs even on Windows. Tomas
On Wed, 9 Sep 2020 at 07:47, Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 11:44 PM Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 5:20 PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)).
Debug builds for each revision are available from https://r-devel.github.io . To download the installer you need to click the github icon in the last column in the table. You need to be signed in with a (free) Github account in order to download builds (artifacts) from Github actions. It will show download links for both the regular installer and installer with debug symbols. In other news, the https://r-devel.github.io table also shows that the fix that martin committed is segfaulting on 32-bit.
Sorry that was inaccurate, it is not segfaulting at all, but the unit test is raising an error on 32-bit.
On 9/9/20 9:30 AM, Hugh Parsonage wrote:
Thank you! I get Starting program: C:\R\R-devel-20200909\bin\x64\Rgui.exe [New Thread 19940.0x638c] [New Thread 19940.0x102c] [New Thread 19940.0x329c] [New Thread 19940.0x37dc] warning: Invalid parameter passed to C runtime function. Program received signal SIGSEGV, Segmentation fault. 0x000000006c72d206 in compact_intseq_Dataptr (x=0x12783350, writeable=<optimized out>) at altclasses.c:169 169 altclasses.c: No such file or directory.
Thanks, would you know which svn version this is? Tomas
On Wed, 9 Sep 2020 at 17:03, Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/9/20 8:48 AM, Hugh Parsonage wrote:
I am unable to set break or use gdb with any success when I use that version. On linux I would do R -d gdb but this gives "unknown option '-d' " while gdb R.exe (in the same directory as the debug version) gives the same output as before. I'm happy to help but I appreciate this list might not be the best place to get a tutorial on using gdb on Windows.
Essentially, the steps are: build with DEBUG=T (to have debug symbols), possibly updating EOPTS in MkRules.local to disable optimizations, then run gdb loading RGui, "set solib-search-path", run RGui from gdb. Then you can break to debugger from RGui menu, or just run the code that segfaults, and you get to gdb and can print the stacktrace, etc. You can find some information in rw-FAQ (R for Windows FAQ), but yes, it is harder than on Linux. We can take care of this report, but of course in the longer term it would help if more people could take their time to setup debugging and analyze bugs even on Windows. Tomas
On Wed, 9 Sep 2020 at 07:47, Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 11:44 PM Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 5:20 PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)).
Debug builds for each revision are available from https://r-devel.github.io . To download the installer you need to click the github icon in the last column in the table. You need to be signed in with a (free) Github account in order to download builds (artifacts) from Github actions. It will show download links for both the regular installer and installer with debug symbols. In other news, the https://r-devel.github.io table also shows that the fix that martin committed is segfaulting on 32-bit.
Sorry that was inaccurate, it is not segfaulting at all, but the unit test is raising an error on 32-bit.
R Under development (unstable) (2020-09-08 r79165)
On Wed, 9 Sep 2020 at 18:00, Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/9/20 9:30 AM, Hugh Parsonage wrote:
Thank you! I get Starting program: C:\R\R-devel-20200909\bin\x64\Rgui.exe [New Thread 19940.0x638c] [New Thread 19940.0x102c] [New Thread 19940.0x329c] [New Thread 19940.0x37dc] warning: Invalid parameter passed to C runtime function. Program received signal SIGSEGV, Segmentation fault. 0x000000006c72d206 in compact_intseq_Dataptr (x=0x12783350, writeable=<optimized out>) at altclasses.c:169 169 altclasses.c: No such file or directory.
Thanks, would you know which svn version this is? Tomas
On Wed, 9 Sep 2020 at 17:03, Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/9/20 8:48 AM, Hugh Parsonage wrote:
I am unable to set break or use gdb with any success when I use that version. On linux I would do R -d gdb but this gives "unknown option '-d' " while gdb R.exe (in the same directory as the debug version) gives the same output as before. I'm happy to help but I appreciate this list might not be the best place to get a tutorial on using gdb on Windows.
Essentially, the steps are: build with DEBUG=T (to have debug symbols), possibly updating EOPTS in MkRules.local to disable optimizations, then run gdb loading RGui, "set solib-search-path", run RGui from gdb. Then you can break to debugger from RGui menu, or just run the code that segfaults, and you get to gdb and can print the stacktrace, etc. You can find some information in rw-FAQ (R for Windows FAQ), but yes, it is harder than on Linux. We can take care of this report, but of course in the longer term it would help if more people could take their time to setup debugging and analyze bugs even on Windows. Tomas
On Wed, 9 Sep 2020 at 07:47, Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 11:44 PM Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 5:20 PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)).
Debug builds for each revision are available from https://r-devel.github.io . To download the installer you need to click the github icon in the last column in the table. You need to be signed in with a (free) Github account in order to download builds (artifacts) from Github actions. It will show download links for both the regular installer and installer with debug symbols. In other news, the https://r-devel.github.io table also shows that the fix that martin committed is segfaulting on 32-bit.
Sorry that was inaccurate, it is not segfaulting at all, but the unit test is raising an error on 32-bit.
Thanks. Should be now fixed in 79169. Tomas
On 9/9/20 10:32 AM, Hugh Parsonage wrote:
R Under development (unstable) (2020-09-08 r79165) On Wed, 9 Sep 2020 at 18:00, Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/9/20 9:30 AM, Hugh Parsonage wrote:
Thank you! I get Starting program: C:\R\R-devel-20200909\bin\x64\Rgui.exe [New Thread 19940.0x638c] [New Thread 19940.0x102c] [New Thread 19940.0x329c] [New Thread 19940.0x37dc] warning: Invalid parameter passed to C runtime function. Program received signal SIGSEGV, Segmentation fault. 0x000000006c72d206 in compact_intseq_Dataptr (x=0x12783350, writeable=<optimized out>) at altclasses.c:169 169 altclasses.c: No such file or directory.
Thanks, would you know which svn version this is? Tomas
On Wed, 9 Sep 2020 at 17:03, Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/9/20 8:48 AM, Hugh Parsonage wrote:
I am unable to set break or use gdb with any success when I use that version. On linux I would do R -d gdb but this gives "unknown option '-d' " while gdb R.exe (in the same directory as the debug version) gives the same output as before. I'm happy to help but I appreciate this list might not be the best place to get a tutorial on using gdb on Windows.
Essentially, the steps are: build with DEBUG=T (to have debug symbols), possibly updating EOPTS in MkRules.local to disable optimizations, then run gdb loading RGui, "set solib-search-path", run RGui from gdb. Then you can break to debugger from RGui menu, or just run the code that segfaults, and you get to gdb and can print the stacktrace, etc. You can find some information in rw-FAQ (R for Windows FAQ), but yes, it is harder than on Linux. We can take care of this report, but of course in the longer term it would help if more people could take their time to setup debugging and analyze bugs even on Windows. Tomas
On Wed, 9 Sep 2020 at 07:47, Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 11:44 PM Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 5:20 PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)).
Debug builds for each revision are available from https://r-devel.github.io . To download the installer you need to click the github icon in the last column in the table. You need to be signed in with a (free) Github account in order to download builds (artifacts) from Github actions. It will show download links for both the regular installer and installer with debug symbols. In other news, the https://r-devel.github.io table also shows that the fix that martin committed is segfaulting on 32-bit.
Sorry that was inaccurate, it is not segfaulting at all, but the unit test is raising an error on 32-bit.
On 9/8/20 11:47 PM, Jeroen Ooms wrote:
On Tue, Sep 8, 2020 at 11:44 PM Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 5:20 PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)).
Debug builds for each revision are available from https://r-devel.github.io . To download the installer you need to click the github icon in the last column in the table. You need to be signed in with a (free) Github account in order to download builds (artifacts) from Github actions. It will show download links for both the regular installer and installer with debug symbols. In other news, the https://r-devel.github.io table also shows that the fix that martin committed is segfaulting on 32-bit.
Sorry that was inaccurate, it is not segfaulting at all, but the unit test is raising an error on 32-bit.
Now fixed, the test needs to be run only on 64-bit builds where such long vectors/sequences are allowed. Tomas
I can confirm the segmentation fault does not occur as of r79170.
On Wed, 9 Sep 2020 at 19:06, Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 11:47 PM, Jeroen Ooms wrote:
On Tue, Sep 8, 2020 at 11:44 PM Jeroen Ooms <jeroenooms at gmail.com> wrote:
On Tue, Sep 8, 2020 at 5:20 PM Tomas Kalibera <tomas.kalibera at gmail.com> wrote:
On 9/8/20 4:48 PM, Hugh Parsonage wrote:
Unfortunately I only get [Thread 21752.0x4aa8 exited with code 3221225477] [Thread 21752.0x4514 exited with code 3221225477] [Thread 21752.0x3f10 exited with code 3221225477] [Inferior 1 (process 21752) exited with code 030000000005] (I'm guessing I would need to build an instrumented version of R, or can R be debugged using gdb with an off-the-shelf installation?)
No, the default build lacks debug symbols. You need a build with debug symbols, and if you can reproduce in a build without compiler optimizations (-O0), the backtrace may be easier to interpret. Some bugs however "disappear" when optimizations are disabled. You can build R from source (and there may be debug builds provided by someone else (Jeroen?)).
Debug builds for each revision are available from https://r-devel.github.io . To download the installer you need to click the github icon in the last column in the table. You need to be signed in with a (free) Github account in order to download builds (artifacts) from Github actions. It will show download links for both the regular installer and installer with debug symbols. In other news, the https://r-devel.github.io table also shows that the fix that martin committed is segfaulting on 32-bit.
Sorry that was inaccurate, it is not segfaulting at all, but the unit test is raising an error on 32-bit.
Now fixed, the test needs to be run only on 64-bit builds where such long vectors/sequences are allowed. Tomas