This is due to the built in rocket server (it is not ment for production).
If you use Apache with mod_wsgi this will not happen.

--
Thadeus




2010/12/24 David Zejda <d...@atlas.cz>

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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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