I’m optimizing the memory load (~2GB, offline accounting and analysis routine) of this line:
l2 = Photograph.objects.filter(**(movie.get_selectors())).values()
Is there a way to convince django to skip certain columns when fetching values()?
Specifically, the routine obtains all rows of the table matching certain criteria (db is optimized and performs it very quickly), but it is a bit too much for python to handle – there is a long string referenced in each row, storing the urls for thumbnails.
I only really need three fields from each row, but, if all the fields are included, it suddenly consumes about 5kB/row which sadly pushes the RAM to the limit.
The
values(*fields)function allows you to specify which fields you want.