As far as I remember, the main reason why we dropped this iterator thing being part of our API redisign efforts a year ago was that there is no easy (and performant) way to do batched database queries. The problem is: we don't have a 'stable' order of events, just think of a query which returns the last inserted events, if new events are inserted between requesting one page and the following, how should be handle them? Client side batching by using FindEventIds, slicing over the result and get the actual event objects on demand seems a much more reasonable approach.
-- Large requests increase memory usage considerably https://bugs.launchpad.net/bugs/624310 You received this bug notification because you are a member of Zeitgeist Framework Team, which is subscribed to Zeitgeist Framework. Status in Zeitgeist Framework: Confirmed Status in Zeitgeist Extensions: New Bug description: I'm seeing with standalone Sezen that after running it, mem usage of the zeitgeist-daemon process goes up from ~13MB to ~40MB, this is understandable as when Sezen is starting, it does one big query where it asks for everything grouped by most recent subjects and in my case this returns ~11 thousand events, so the extra 30MB can be explained by allocating memory for the DBus reply. Still, my question is whether Zeitgeist should be at mercy of the applications, where nothing prevents them from spiking the memory usage of the core process. (I already saw a couple of times zeitgeist using 80-100MB of memory on my system). Perhaps there's a way to tell python dbus to free its buffers? _______________________________________________ Mailing list: https://launchpad.net/~zeitgeist Post to : email@example.com Unsubscribe : https://launchpad.net/~zeitgeist More help : https://help.launchpad.net/ListHelp