[Rd] [External] Re: Is it a good choice to increase the NCONNECTION value?

iuke-tier@ey m@iii@g oii uiow@@edu iuke-tier@ey m@iii@g oii uiow@@edu
Wed Aug 25 03:45:08 CEST 2021

We do need to be careful about using too many file descriptors.  The
standard soft limit on Linux is fairly low (1024; the hard limit is
usually quite a bit higher). Hitting that limit, e.g. with runaway
with code allocating lots of connections, can cause other things, like
loading packages, to fail with hard to diagnose error messages. A
static connection limit is a crude way to guard against that. Doing
anything substantially better is probably a lot of work. A simple
option that may be worth pursuing is to allow the limit to be adjusted
at runtime. Users who want to go higher would do so at their own risk
and may need to know how to adjust the soft limit on the process.



On Wed, 25 Aug 2021, Simon Urbanek wrote:

> Martin,
> I don't think static connection limit is sensible. Recall that connections can be anything, not just necessarily sockets or file descriptions so they are not linked to the system fd limit. For example, if you use a codec then you will need twice the number of connections than the fds. To be honest the connection limit is one of the main reasons why in our big data applications we have always avoided R connections and used C-level sockets instead (others were lack of control over the socket flags, but that has been addressed in the last release). So I'd vote for at the very least increasing the limit significantly (at least 1k if not more) and, ideally, make it dynamic if memory footprint is an issue.
> Cheers,
> Simon
>> On Aug 25, 2021, at 8:53 AM, Martin Maechler <maechler using stat.math.ethz.ch> wrote:
>>>>>>> GILLIBERT, Andre
>>>>>>>    on Tue, 24 Aug 2021 09:49:52 +0000 writes:
>>> RConnection is a pointer to a Rconn structure. The Rconn
>>> structure must be allocated independently (e.g. by
>>> malloc() in R_new_custom_connection).  Therefore,
>>> increasing NCONNECTION to 1024 should only use 8
>>> kilobytes on 64-bits platforms and 4 kilobytes on 32
>>> bits platforms.
>> You are right indeed, and I was wrong.
>>> Ideally, it should be dynamically allocated : either as
>>> a linked list or as a dynamic array
>>> (malloc/realloc). However, a simple change of
>>> NCONNECTION to 1024 should be enough for most uses.
>> There is one important other problem I've been made aware
>> (similarly to the number of open DLL libraries, an issue 1-2
>> years ago) :
>> The OS itself has limits on the number of open files
>> (yes, I know that there are other connections than files) and
>> these limits may quite differ from platform to platform.
>> On my Linux laptop, in a shell, I see
>>  $ ulimit -n
>>  1024
>> which is barely conformant with your proposed 1024 NCONNECTION.
>> Now if NCONNCECTION is larger than the max allowed number of
>> open files and if R opens more files than the OS allowed, the
>> user may get quite unpleasant behavior, e.g. R being terminated brutally
>> (or behaving crazily) without good R-level warning / error messages.
>> It's also not at all sufficient to check for the open files
>> limit at compile time, but rather at R process startup time
>> So this may need considerably more work than you / we have
>> hoped, and it's probably hard to find a safe number that is
>> considerably larger than 128  and less than the smallest of all
>> non-crazy platforms' {number of open files limit}.
>>> Sincerely
>>  [............]
>> ______________________________________________
>> R-devel using r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-devel
> ______________________________________________
> R-devel using 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 using uiowa.edu
Iowa City, IA 52242                 WWW:  http://www.stat.uiowa.edu

More information about the R-devel mailing list