Resizing a named vector crashes R with gctorture(TRUE) (PR#13837)
Duncan Murdoch wrote:
On 16/07/2009 5:06 PM, Herv? Pag?s wrote:
Duncan Murdoch wrote:
On 7/16/2009 2:34 PM, Herv? Pag?s wrote:
Duncan Murdoch wrote:
On 15/07/2009 10:15 PM, Herv? Pag?s wrote:
I have to confess that I'm a little bit puzzled by how the PROTECT/UNPROTECT mechanism is used in the C code of R. Duncan, you say the problem you just fixed was an easy one. I looked at the C code too and was able to recognize a pattern that is indeed easy to identify as problematic: an unprotected call to allocVector() followed by a call that can trigger garbage collection (in that case another call to allocVector()) It only took me 1 minute to find another occurrence of this pattern. It's in the do_grep() function (src/main/character.c, line 1168):
> gctorture(TRUE)
> grep("b", c(A="aa", B="aba"), value=TRUE)
B "B" Given that the overhead of PROTECTing the SEXP returned by allocVector() can really be considered 0 (or almost), I'm wondering why this is not done in a more systematic way.
This is an explanation, not a justification: If you look at the history of that file, you'll see a hint: line 1168 was written in 1998, the other lines were written later, by other people. It is simply a matter of someone thinking something was safe when it wasn't, and it's not clear who was wrong: it may have been safe when written, but susceptible to later changes.
Even when nothing between PROTECT(allocVector()) and the corresponding UNPROTECT could trigger garbage collection (e.g. PROTECT(allocVector()) is close to the return statement). Because making exceptions like this can make your code really hard to maintain in the long term.
There are a lot of people who object to anything that slows R at all. That puts pressure on anyone writing code to do it in a way that wastes as few cycles as possible. That in turn makes it harder for someone else to analyze the code. And overuse of PROTECT also makes the code harder to read.
Most of the calls to allocVector() are currently protected. There is a very small percentage of calls to allocVector() that are not. Most of the times because people apparently decided that, at the time they wrote the code, it didn't seem necessary. It doesn't matter if they were wrong or write. My point is that this game is not worth it. I bet if you protected all the calls to allocVector() you wouldn't notice any slow down in R. What is guaranteed though is that you end up with code that sooner or later will break because of some changes that are made to the function itself or to another function called by your function (because this other function is now calling gc and you were assuming that it wouldn't do that). And this kind of breakage is one of the worst kinds: if you are lucky, you get a segfault, but if you are not, you don't notice anything and get the wrong answer, like in the length<-() and grep() examples (and you can safely assume that there are many other places like this in R). I guess 99.999% of R users would happily trade a 0.001% slow down for a correct result. First make it right, then make it fast. And sorry, but you're not going to make it fast by saving a few calls to PROTECT() here and here.
As I said, I gave you an explanation, not a justification. I
generally agree with you, but not everyone does. For example, after
posting the first patch I received a private email suggesting that
the following PROTECT on xnames could be removed. I didn't remove
it, because I think it is mostly harmless, and it's not worth my time
to analyze whether any particular PROTECT is unneeded.
I generally agree with you, but I don't totally agree with you. The
protection stack is not infinite, so any time you add a PROTECT you
have to be sure it will be removed in a relatively short time. You
can't have something like
for (i=0; i < n; i++) { PROTECT( ans <- allocVector(...) ) ; ... }
UNPROTECT(n);
because you are likely to blow the stack when n is large. You need
the UNPROTECTs within the loop, but still after ans stops being
vulnerable to garbage collection.
Indeed, putting the UNPROTECT out of the loop would be a bad idea. The only reason I see people would do this is because they have some continue, break or return statements inside the loop and they don't want to put the UNPROTECT before each of them. But most of the times, it should be clear where to put the UNPROTECT, and, if this is not the case, then that means that it was not clear either that ans didn't need to be protected in the first place!
It's hard to place them automatically. And every extra function/macro call adds to the obscurity of the code, so it's harder to read it and know whether it really does what you wanted it to. My inclination is to over-PROTECT things, but not to PROTECT everything.
I didn't say everything should be protected. Just that PROTECT(allocVector()) could be used in a more systematic way.
Tell me the system.
OK, the system is the following. Here "you" is not you Duncan, but the developer that is facing a protect-or-not-protect dilemma. Every time you are tempted to write x = allocVector(); think about what will happen the day someone will come and add the following line right after your line: y = allocVector(); Then cross your finger that s/he will remember to fix your code. Alternatively you have the option to anticipate and make your code safer in the long run. It's easy and at the same time you show that you care more about long term maintainability than saving an insignificant number of CPU cycles. It's easy to imagine that people will be reluctant to change things like: ans_elt = allocVector(); SET_VECTOR_ELT(ans, i, ans_elt); but I still think that the following is as good and not a lot harder to read: PROTECT(ans_elt = allocVector()); SET_VECTOR_ELT(ans, i, ans_elt); UNPROTECT(1); But maybe you can have a short list of authorized exceptions to the rule for these very simple cases. Otherwise, when you see code like /* No protection needed as ExtractSubset does not allocate */ result = allocVector(mode, n); PROTECT(result = ExtractSubset(x, result, indx, call)); it's nice to have a comment, but since 'result' gets finally protected (ExtractSubset returns the same 'result' that was passed to it), then why not just do: PROTECT(result = allocVector(mode, n)); result = ExtractSubset(x, result, indx, call); so you don't need to comment anything and the day someone decides to allocate in ExtractSubset you are still good. More generally, when a function is changed from being non-allocating to be allocating, is the person in charge of this change also supposed to come to every place where the function is called and add the missing PROTECT/UNPROTECT? Even worse, if it's a low-level routine that becomes an allocating function, it could be that dozens or hundreds of higher level functions now become allocating (being an allocating function is a property that propagates to the parents of the function), so the person can end up having to check hundreds of places! The task might just become impossible. H.
Duncan Murdoch
Thanks, H.
Duncan Murdoch
Cheers, H.
As an example: just below line 1168 there's another unprotected allocVector of nm, but I think that one is safe, because it is attached as an attribute to ans (which is now PROTECT'd) before anything is done that could trigger gc. And a few lines below that, on another branch of the if, another unprotected but safe-looking allocation. Should I protect those? Then I'd also need to call UNPROTECT again, or keep a counter of PROTECT calls, and the code would be a little harder to read. Thanks for tracking down these two bugs; I'll fix the grep bug too. If you feel like looking for more, it would be appreciated. (Writing an automatic tool to analyze code and determine where new ones are needed and where existing ones could be eliminated might be a fun project, but there are too many fun projects.) Duncan Murdoch
Cheers, H. Herv? Pag?s wrote:
murdoch at stats.uwo.ca wrote:
On 15/07/2009 8:30 PM, murdoch at stats.uwo.ca wrote:
On 15/07/2009 8:08 PM, Herv? Pag?s wrote:
Hi,
> x <- c(a=10, b=20) > length(x) <- 1 > x
a 10 But with gctorture turned on, I get:
> gctorture(TRUE) > x <- c(a=10, b=20) > length(x) <- 1 > x
a "a" <---- ???
> x <- c(a=10, b=20) > length(x) <- 3
*** caught segfault ***
address (nil), cause 'unknown'
Possible actions:
1: abort (with core dump, if enabled)
2: normal R exit
3: exit R without saving workspace
4: exit R saving workspace
This seems to have been around for a while (I get this with R
2.10,
2.9 and 2.8). Note that I don't get this with an unnamed vector.
This problem affects the methods package. I found it while
troubleshooting the "Protection stack overflow" I reported
earlier
(see
https://stat.ethz.ch/pipermail/r-devel/2009-July/054030.html)
but I can't tell yet whether the 2 issues are related or not.
That's clearly a bug (reproducible in today's R-devel build); I've cc'd this reply to r-bugs. I'll take a look and see if I can track it down.
That's got to be the easiest low-level bug I've worked on in a while. Just a missing PROTECT. Now fixed, about to be committed to R-devel.
Thanks Duncan! And the "Protection stack overflow" issue that was affecting the methods package is gone now :) Cheers, H.
Duncan Murdoch
It would be nice to see some reaction from the R developers about these issues. Thanks in advance!
You should post them as bug reports if they are as clearly bugs as this one; otherwise they can easily get lost in the noise. I'm not going to offer to look into the other one; I don't know the insides of the methods package. Duncan Murdoch
H. hpages at fhcrc.org wrote:
Hi,
> gctorture(TRUE)
> setGeneric("foo", function(x, y) standardGeneric("foo"))
[1] "foo"
> setMethod("foo", c("ANY", "ANY"),
+ function(x, y) cat("calling foo,ANY,ANY method\n")
+ )
Error: protect(): protection stack overflow
Sorry this is something I already reported one week ago here
https://stat.ethz.ch/pipermail/r-devel/2009-July/053973.html
but I just had a 2nd look at it and realized that the problem
can in fact be reproduced out of the .onLoad() hook. So I'm
reporting it again with a different subject.
See my sessionInfo() below. Thanks!
H.
sessionInfo()
R version 2.10.0 Under development (unstable) (2009-06-26 r48837) x86_64-unknown-linux-gnu locale: [1] LC_CTYPE=en_CA.UTF-8 LC_NUMERIC=C [3] LC_TIME=en_CA.UTF-8 LC_COLLATE=en_CA.UTF-8 [5] LC_MONETARY=C LC_MESSAGES=en_CA.UTF-8 [7] LC_PAPER=en_CA.UTF-8 LC_NAME=C [9] LC_ADDRESS=C LC_TELEPHONE=C [11] LC_MEASUREMENT=en_CA.UTF-8 LC_IDENTIFICATION=C attached base packages: [1] stats graphics grDevices utils datasets methods base
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Herv? Pag?s Program in Computational Biology Division of Public Health Sciences Fred Hutchinson Cancer Research Center 1100 Fairview Ave. N, M2-B876 P.O. Box 19024 Seattle, WA 98109-1024 E-mail: hpages at fhcrc.org Phone: (206) 667-5791 Fax: (206) 667-1319