On Aug 5, 1:20 am, "Chris Carlin" <[EMAIL PROTECTED]> wrote: > It might be more informative to see how memory usage scales with number of > item elements (to test Eric's theory). > > Vasili reports 72Mb for 7 registered users and 234 <item/> elements in all > roster files... anyone else want to throw in a datapoint? > > ~Chris
Running for about two weeks: PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ nFLT COMMAND 19123 jabber 18 0 983m 368m 704 D 0.0 73.1 3993:32 3.1m python During restart top shows PID USER PR NI VIRT RES SHR S %CPU %MEM TIME+ nFLT COMMAND 21116 jabber 15 0 970m 15m 2012 S 10.6 3.0 0:31.94 1 python but then goes to (with 34 online users connected immediately after restart) 21116 jabber 17 0 211m 15m 2092 S 0.7 3.1 0:48.86 1 python 912 users registered with the transport, 35055 roster items. --~--~---------~--~----~------------~-------~--~----~ You received this message because you are subscribed to the Google Groups "py-transports" group. To post to this group, send email to [email protected] To unsubscribe from this group, send email to [EMAIL PROTECTED] For more options, visit this group at http://groups.google.com/group/py-transports?hl=en -~----------~----~----~----~------~----~------~--~---
