Yes, the leak seems to be associated with rendering data in a view.
On Apr 2, 2014 3:57 AM, "Paolo Valleri" <paolo.vall...@gmail.com> wrote:

> I run nearly the same example:
> def f():
>     a=list(range(100000))
>     return 'ok'
> After about 200 downloads the web2py process grew up to 100M. Tested on a
> system with 8Gb ram, ubuntu 12.04
>
> paolo
>
> On Wednesday, April 2, 2014 5:57:51 AM UTC+2, Rick Ree wrote:
>>
>> Ubuntu 12.04 and 13.10. I'm running web2py from the git repo, but
>> observed this in 2.8.2 as well.
>>
>> On Tuesday, April 1, 2014 10:40:55 PM UTC-5, Massimo Di Pierro wrote:
>>>
>>> This should not be happening. What OS? What wev2py version?
>>>
>>> On Tuesday, 1 April 2014 10:00:08 UTC-5, Rick Ree wrote:
>>>>
>>>> Hi,
>>>>
>>>> If I create a new app and put a single function in default.py:
>>>>
>>>> def f():
>>>>     return dict(a=list(range(100000)))
>>>>
>>>> and then repeatedly call this using wget, e.g. wget
>>>> http://localhost:8000/default/f.html, then memory usage of web2py will
>>>> creep higher with each call. Is this a memory leak, or will the memory
>>>> eventually be reclaimed? Is there something I can do in f() to avoid this?
>>>>
>>>> thanks,
>>>> -Rick
>>>>
>>>  --
> Resources:
> - http://web2py.com
> - http://web2py.com/book (Documentation)
> - http://github.com/web2py/web2py (Source code)
> - https://code.google.com/p/web2py/issues/list (Report Issues)
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-- 
Resources:
- http://web2py.com
- http://web2py.com/book (Documentation)
- http://github.com/web2py/web2py (Source code)
- https://code.google.com/p/web2py/issues/list (Report Issues)
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