On Oct 1, 2006, at 9:48 AM, Fredrik Lundh wrote: > charlie strauss wrote: > >> level0: newly created objects >> level1: objects that survived 1 round of garbage collection >> level2: objects that survivied 2+ rounds of gargbage collection >> >> Since all of my numerous objects are level2 objects, and none of >> them are every deallocated, then I should never trip the GC for >> these. > > your understanding of generational GC is a bit fuzzy, it seems. > that an > object is promoted to a higher level means that it's not inspected > quite > as often as lower-level objects, not that it's never inspected at all.
As I understand it, level2 (and level1) objects only undergo gc when more than 10 of them is deallocated. Since I never deallocate, this should not be tripped right? In any case regarding your other comments: >> Could you clarify that for me. GC really has three components >> two it: 1) finding and freeing unrefernced memory by refer >> refer counts 2) cycle removal and 3) defragementing the >> storage stack. If I turn off GC, don't I lose all of these? >> > > CPython always does (1), only does (2) if cycle-breaking GC isn't > disabled, and never does (3). Never does 3? then how does it compact it's memory allocation area? Surely it does not rely on the OS to manage every small object as a separate memory allocation. And just to be clear: are you saying that when I do a gc.disable this only turns off 2 and not 1? The docs don't say that as far as I can tell. > in your case, it's (2) that takes more and more time, simply because > you're creating tons of non-trivial objects. to see what's going > on in > there, add > > import gc > gc.set_debug(gc.DEBUG_STATS) > > to the top of your program, and look at the status messages that > appear > just before each "Big Gap" message. Could you be a bit more explicit. I'm new to the gc module. Sorry to be slow but I don't know what "looking at the status message" means. > > </F> > > -- > http://mail.python.org/mailman/listinfo/python-list -- http://mail.python.org/mailman/listinfo/python-list
