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My web2py instance gradually eats memory, during day the consumption
grows up to several gigs, so I have to restart often. According to guppy
most of memory is occupied by gluon.dal.Field and other classes of dal:
Partition of a set of 3231760 objects. Total size = 443724152 bytes.
Index Count % Size % Cumulative % Kind
0 113419 4 189636568 43 189636568 43 dict of gluon.dal.Field
1 1324208 41 80561096 18 270197664 61 str
2 328642 10 15982732 4 286180396 64 tuple
3 26637 1 13851240 3 300031636 68 dict of
gluon.validators.IS_IN_DB
4 98796 3 13436256 3 313467892 71 dict of gluon.dal.Set
5 20042 1 13344464 3 326812356 74 dict (no owner)
6 8199 0 11860464 3 338672820 76 gluon.dal.Row
7 16615 1 11482224 3 350155044 79 gluon.dal.Table
8 63682 2 8660752 2 358815796 81 dict of gluon.dal.Query
9 137779 4 7363776 2 366179572 83 list
<2282 more rows. Type e.g. '_.more' to view.>
The proportion is relatively stable. It seems that model definition
remains in memory after each request. It is probably caused by a weird
reference, but I'm not sure how to track it. Please do you have any ideas?
Thanks :)
David
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