I would really like the bug fixed. At least this one, because I know
people in my institute using this function.
I understand your arguments about open source, but I also saw in this mail
list a proposal for a fix for this bug for which there were no answer from
the people who are able to include it in the distribution. It looks like if
there were interesting bugs and the other ones.
JLL
-----Message d'origine-----
De : Duncan Murdoch [mailto:murdoch.dun...@gmail.com]
Envoyé : mardi 4 juillet 2017 14:24
À : Lipatz Jean-Luc; r-devel@r-project.org
Objet : Re: [Rd] write.csv
On 04/07/2017 5:40 AM, Lipatz Jean-Luc wrote:
Hi all,
I am currently studying how to generalize the usage of R in my
statistical institute and I encountered a problem that I cannot declare on
bugzilla (cannot understand why).
Bugzilla was badly abused by spammers last year, so you need to have your
account created manually by one of the admins to post there. Write to me
privately if you'd like me to create an account for you. (If you want it
attached to a different email address, that's fine.)
Sorry for trying this mailing list but I am really worried about the
problem itself and the possible implications in using R in a professionnal
data production context.
The issue about 'write.csv' is that it just doesn't check if there is
enough space on disk and doesn't report failure to write data.
Example (R 3.4.0 windows 32 bits, but I reproduced the problem with older
versions and under Mac OS/X)
fwrite(as.list(1:1000000),"G:/Test")
Error in fwrite(as.list(1:1e+06), "G:/Test") :
No space left on device: 'G:/Test'
write.csv(1:1000000,"G:/Test")
I have a big concern here, because it means that you could save some
important data at one point of time and discover a long time after that you
actually lost them.
> I suppose that the fix is relatively straightforward, but how can we
be sure that there is no another function with the same bad properties?
R is open source. You could work out the patch for this bug, and in the
process see the pattern of coding that leads to it. Then you'll know if
other functions use the same buggy pattern.
Is the lesson that you should not use a R function, even from the core,
without having personnally tested it against extreme conditions?
I think the answer to that is yes. Most people never write such big
files that they fill their disk: if they did, all sorts of things would
go wrong on their systems. So this kind of extreme condition isn't
often tested. It's not easy to test in a platform independent way: R
would need to be able to create a volume with a small capacity. That's
a very system-dependent thing to do.
And wouldn't it be the work of the developpers to do such elementary
tests?
Again, R is open source. You can and should contribute code (and
therefore become one of the developers) if you are working in unusual
conditions.
R states quite clearly in the welcome message every time it starts: "R
is free software and comes with ABSOLUTELY NO WARRANTY." This is
essentially the same lack of warranty that you get with commercial
software, though it's stated a lot more clearly.
Duncan Murdoch