On 2011-09-22 00:08, Christian Marquardt wrote: > Laurent, > > is there an example for such a custom cleaner somewhere, or a documentation > on the interface?
For rpy2, the documentation is currently the unit tests (this is tested) and the (C) source (grep for "cleanup"). Since this is mostly a wrapper around R, the R documentation for it may come handy if after a more advance usage. > Also, is it possible to obtain the path to the temporary R directory on the > python side in order not to delete temporary directories of other, parallel R > sessions? This is an R question. I think that it is returned by the function tempdir(). > I've come across the same issue with several recent versions of R and rpy2, > though I haven't checked the most recent one yet. > > Thanks, > > Chris. > > > > On 21 Sep 2011, at 23:17, Laurent Gautier<lgaut...@gmail.com> wrote: > >> R itself _does_ create a temp directory each time it starts. >> >> Rpy2 has placeholders for custom callback cleaners, and it might >> interfere with the default cleanup made by an R console; this is >> currently a little-used (and little-documented) features and I can't >> tell with looking more into it. You could quickly fix it by writing a >> custom cleaner that does delete that directory. >> >> L. >> >> PS: The current release for rpy2 is 2.2.2. You do want to upgrade. >> >> >> >> On 2011-09-21 17:52, Christian Hudon wrote: >>> Hi, >>> >>> I'm running a server process that uses rpy2, on a VM with limited disk >>> space. Every time the process is restarted, a Rtmp directory is created >>> under /tmp. (Example name for the directory: "RtmpFThW0A"... this looks >>> similar to the result of calling the R tempdir() function.) This is a >>> problem for me, as said temporary directories accumulate and slowly fill >>> up the disk space. >>> >>> I've narrowed it down to the following simple Python code, which will >>> create said temporary directory for me (with rpy2 2.1.3): >>> >>> import rpy2.rinterface >>> rpy2.rinterface.initr() >>> >>> However, I can't find what's causing the temporary directory to be >>> created in the rpy2 source code. (Starting R by itself doesn't create a >>> temporary directory.) >>> >>> I have a couple of questions... Is this directory created by rpy2? If >>> so, where? Is it possible to disable its creation, or at least clean it >>> up on exit? If not, can I remove said tempdir without interfering with rpy2? >>> >>> Thanks in advance, >>> >>> Christian >>> >>> >>> >>> >>> ------------------------------------------------------------------------------ >>> All the data continuously generated in your IT infrastructure contains a >>> definitive record of customers, application performance, security >>> threats, fraudulent activity and more. Splunk takes this data and makes >>> sense of it. Business sense. IT sense. Common sense. >>> http://p.sf.net/sfu/splunk-d2dcopy1 >>> _______________________________________________ >>> rpy-list mailing list >>> rpy-list@lists.sourceforge.net >>> https://lists.sourceforge.net/lists/listinfo/rpy-list >> >> ------------------------------------------------------------------------------ >> All the data continuously generated in your IT infrastructure contains a >> definitive record of customers, application performance, security >> threats, fraudulent activity and more. Splunk takes this data and makes >> sense of it. Business sense. IT sense. Common sense. >> http://p.sf.net/sfu/splunk-d2dcopy1 >> _______________________________________________ >> rpy-list mailing list >> rpy-list@lists.sourceforge.net >> https://lists.sourceforge.net/lists/listinfo/rpy-list > ------------------------------------------------------------------------------ > All the data continuously generated in your IT infrastructure contains a > definitive record of customers, application performance, security > threats, fraudulent activity and more. Splunk takes this data and makes > sense of it. Business sense. IT sense. Common sense. > http://p.sf.net/sfu/splunk-d2dcopy1 > _______________________________________________ > rpy-list mailing list > rpy-list@lists.sourceforge.net > https://lists.sourceforge.net/lists/listinfo/rpy-list ------------------------------------------------------------------------------ All the data continuously generated in your IT infrastructure contains a definitive record of customers, application performance, security threats, fraudulent activity and more. Splunk takes this data and makes sense of it. Business sense. IT sense. Common sense. http://p.sf.net/sfu/splunk-d2dcopy1 _______________________________________________ rpy-list mailing list rpy-list@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/rpy-list
