** Changed in: openobject-client
Milestone: 6.0-rc2 => None
--
Client memory leaks and long lists (the list is never freed)
https://bugs.launchpad.net/bugs/575018
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sa GTK client R&D, which is a bug assignee.
Status in OpenObject GTK Client: Confirmed
Bug description:
The GTK client (the web client may be affected too, see bug 574778) doesn't
seem to free the records from the views, making impossible to python to free
memory.
If a list view (form view in tree mode) with lots of records is shown, it uses
a lot of memory (which is expected) that is never freed after the view is
closed (ouch!). So, after a while working with the GTK client it consumes all
the memory and the system becomes unresponsive (swapping) or dies (out of
memory).
Note: The size of the list doesn't matter, but obviously you would have to open
lots of small (80 records) views for the problem to be noticeable.
HOW TO REPRODUCE:
- Connect the GTK client to an OpenERP database with a lot of accounting
records (any other big list would do the job). On our example we had 20000
account move lines.
- Go to "Financial Management -> Reporting -> Search Entries -> Entry Lines".
Change the search parameters so all the records (20000) are displayed. It takes
a while to load the list (this is expected) and it uses 264MB of memory.
- Close the view, disconnect from the server (but don't close the client): No
memory is freed!!! (still 264MB).
- Open the Entry Lines list and show all the records again => Now the GTK
client uses 483MB
- Close the Entry Lines view again: No memory is freed! (still 483MB)
- Open the Entry Lines view and show all the records again => Now the GTK
client uses 692MB
- Close the Entry Lines view again: No memory is freed! (still 692MB)
...
- Open the Entry Lines view and show all the records again => Swapping... and
eventually (if the user does not get bored before) a "not enough memory" error.
So, each time the list is shown, a new 220MB of memory are consumed that will
never be freed.
COMMENTS:
We tried forcing the garbage collector to do its job:
ipdb> import gc
ipdb> gc.get_count()
(465, 9, 0)
ipdb> gc.collect()
167
ipdb> gc.get_count()
(7, 0, 0)
ipdb> gc.garbage
[]
ipdb> len(gc.get_objects())
1132991
But just an insignificant bit of memory is freed.
The length of the objects (gc.get_objects()) grows each time we open a view,
but doesn't go down when the view is closed; and the gc.garbace list is not
growing. That means that the items from the views (or the whole view) simply
aren't being unreferenced when the view is closed.
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