Hi all,
> Hi Anthony,
>
> Il giorno 16/ott/2012, alle ore 02:04, Anthony Scopatz <scop...@gmail.com> ha
> scritto:
>
> > Hello Ernesto,
> >
> > So you are actually asking two different questions, one on reading and the
> > other on writing. In general reading, or querying, with multiprocessing
> > works very well. Writing to a single file with multiple processes is
> > destined to failure though. So the strategy that many people have adopted
> > is to have multiple processes create the data and then have a master
> > process which acts as a queue for writing out the data. Please see the
> > example here for more inspiration [1]. Note that we have been having
> > problems recently with multiprocess writing out to multiple files, but that
> > is not what you want to do.
> >
> > Be Well
> > Anthony
> >
> > 1.
> > https://github.com/PyTables/PyTables/blob/develop/examples/multiprocess_access_queues.py
>
> It seems that the topic PyTables + multiprocessing became very popular since
> some time.
>
> Probably we should add a FAQ entry and provide a more extended tutorial based
> on the example provided by Josh.
> I agree. This is something that we should advertise a little more.
I think that this could be very useful especially for non computer scientists
as me !
Best,
Ernesto
> Be Well
> Anthony
>
>
>
> cheers
>
> --
> Antonio Valentino
>
> ------------------------------------------------------------------------------
> Everyone hates slow websites. So do we.
> Make your web apps faster with AppDynamics
> Download AppDynamics Lite for free today:
> http://p.sf.net/sfu/appdyn_sfd2d_oct
> _______________________________________________
> Pytables-users mailing list
> Pytables-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/pytables-users
>
> ------------------------------------------------------------------------------
> Everyone hates slow websites. So do we.
> Make your web apps faster with AppDynamics
> Download AppDynamics Lite for free today:
> http://p.sf.net/sfu/appdyn_sfd2d_oct_______________________________________________
> Pytables-users mailing list
> Pytables-users@lists.sourceforge.net
> https://lists.sourceforge.net/lists/listinfo/pytables-users
------------------------------------------------------------------------------
Everyone hates slow websites. So do we.
Make your web apps faster with AppDynamics
Download AppDynamics Lite for free today:
http://p.sf.net/sfu/appdyn_sfd2d_oct
_______________________________________________
Pytables-users mailing list
Pytables-users@lists.sourceforge.net
https://lists.sourceforge.net/lists/listinfo/pytables-users