Thinking of it I somehow remember the iterator idea. Maybe this is something we 
should really look at. 
An extension with extra cursors for each iterator could be an idea, with an 
1) get_iterator(time_range, event_template, result_type, transaction_size) 
which returns an iterator object with next() and previous()
2) release_iterator(iterator_id)
This approach can be very useful in the sense of Sezen and Unity where we won't 
need to execute big queries at once , but rather in chunks and upon request.
Don't bash me for trying.

Large requests increase memory usage considerably
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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 

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?

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