On Apr 11, 2005 4:55 PM, Ricardo Martinez <rmartinez@redvoiss.net> wrote:

Hello list.
        Regarding to this issue.  These are the results for my "production"
machine after upgrade the Python from 2.3 to 2.4.1.

Since Friday the %MEM is 0.5, as the output of the "top" command indicate :

  PID USER     PRI  NI  SIZE  RSS SHARE STAT %CPU %MEM   TIME CPU COMMAND
6131 root      15   0  5460 5460  2492 S     9.9  0.5 119:04   0
mediaproxy.py

So, it works!.  For the record i'm using :

OS : Red Hat 9.0
Python : 2.4.1
SER: 0.8.14
mediaproxy : 1.2.1

Regards,
Ricardo Martinez.-

> -----Mensaje original-----
> De: Ricardo Martinez [mailto:rmartinez@redvoiss.net]
> Enviado el: Viernes, 08 de Abril de 2005 18:18
> Para: 'Lucas Aimaretto'; serusers@lists.iptel.org
> Asunto: RE: [Serusers] Mediaproxy still consuming a lot of
> RAM resources.
>
>
> Regarding to this issue
>       Well, thanks to Lucas, just to test i changed the
> pyhton version in
> my "lab" server from python2.3 to pyhton2.4.1.  I made the
> same test with
> the rtpgenerator and "voila".
>
>       Check it out :
>
>       Before 80 simultaneus calls :
>
>   PID USER     PRI  NI  SIZE  RSS SHARE STAT %CPU %MEM   TIME COMMAND
> 13915 root      15   0  4628 4628  2068 S     1.0  0.9   0:00
> mediaproxy.py
>
>       During the test :
>
>   PID USER     PRI  NI  SIZE  RSS SHARE STAT %CPU %MEM   TIME COMMAND
> 13915 root      25   0  4864 4864  2068 R    99.9  0.9   0:31
> mediaproxy.py
>
>       After the test :
>
>   PID USER     PRI  NI  SIZE  RSS SHARE STAT %CPU %MEM   TIME COMMAND
>      3356 root      15   0  1600 1600  1036 S     0.0  0.3   0:00 bash
> 13915 root      15   0  4864 4864  2068 S     0.0  0.9   0:44
> mediaproxy.py
>
> 0.9 % !!!!!
>
> I made the test a couples of times later and the %MEM used is
> still 0.9%.
> I guess that it was maybe a problem between the python2.3 and the
> mediaproxy? Don't know...
>
> I'm going to change the python version in my production
> machine. i'm going
> to keep you inform about the results...
>
> Thanks to Lucas...again.
>
> Best Regards,
>
> Ricardo Martinez.-
>
> > -----Mensaje original-----
> > De: Ricardo Martinez [mailto:rmartinez@redvoiss.net]
> > Enviado el: Viernes, 08 de Abril de 2005 17:33
> > Para: 'Lucas Aimaretto'; serusers@lists.iptel.org
> > Asunto: RE: [Serusers] Mediaproxy still consuming a lot of
> > RAM resources.
> >
> >
> > For example now i have 14 simultaneus calls.
> >
> >   PID USER     PRI  NI  SIZE  RSS SHARE STAT %CPU %MEM   TIME
> > CPU COMMAND
> > 11760 root      15     0  601M  518M  2396       R     7.2
>      51.4
> > 69:10   0 mediaproxy.py
> >
> >
> > When the active calls are 0 again the CPU % reach 0.2%, but
> > the %MEM is
> > greater than 51.4%, and always increasing..
> > A couple of questions.
> > How you launch mediaproxy?.  And in your last mail what are
> the pyhton
> > proccess running.. i don't see the mediaproxy process running.
> > Thanks again.
> >
> > Ricardo.-
> >
> > > -----Mensaje original-----
> > > De: Lucas Aimaretto [mailto:lucas@cyneric.com]
> > > Enviado el: Viernes, 08 de Abril de 2005 17:20
> > > Para: 'Ricardo Martinez'; serusers@iptel.org
> > > Asunto: RE: [Serusers] Mediaproxy still consuming a lot of
> > > RAM resources.
> > >
> > >
> > > > But when you check the use of RAM memory in your machine...
> > > > (maybe with the command "top" or the command "free") don't
> > > > you notice a increasing amount of RAM used without being
> > > > released? As i mentioned i have this problem.. this is a
> > > > snippet of the output of the "top" command in my machine:
> > > >
> > > >  PID USER     PRI  NI  SIZE  RSS SHARE STAT %CPU %MEM   TIME
> > > > CPU COMMAND
> > > > 11760 root      15   0    590M 516M  2396        S     0.9
> > >      51.2
> > > > 68:15   0   mediaproxy.py
> > > >
> > > > 51.2% of memory used?  What version of pyhton are you using?,
> > > > what OS are you using?. Thanks!
> > >
> > > Hey!, how many calls where you proxying when you had that usage of
> > > memmory ?
> > >
> > > Regards,
> > >
> > > Lucas
> > >
> > > --
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> > 07/04/2005
> > >
> > >
> >
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