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> From: pytables-users-boun...@lists.sourceforge.net
> Subject: Auto-discard notification
> Date: March 6, 2012 2:55:54 PM PST
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> From: Daπid <davidmen...@gmail.com>
> Subject: Merging multiple DB
> Date: March 6, 2012 2:55:27 PM PST
> To: pytables-users@lists.sourceforge.net
>
>
> Hello.
>
> First of all, I have to warn I am an absolute newbie to PyTables and
> DB, so please forgive my conceptual holes.
>
> I am running a Monte Carlo simulation of an embarrassingly
> parallelizable problem. The calculations are being done on a grid of
> 10 computers QuadCore, running each one four independent processes. I
> assume the safer is to generate one DB per process, ending up with
> forty different (but equivalent) DB. My question is: is there any easy
> way of merging all of them?
>
> The final size of the DB will be around ten columns of numbers by a
> few million rows, relatively small, so I compression is not required
> and reading optimization is not vital.
>
> The simplest -and maybe shabby- way I can think of is to output every
> thread on different ASCII, read them all and insert them in a master
> DB, but this looks inefficient and cumbersome to me.
>
>
> Thank you very much,
>
> David.
>
>
>
-- Francesc Alted
------------------------------------------------------------------------------
Virtualization & Cloud Management Using Capacity Planning
Cloud computing makes use of virtualization - but cloud computing
also focuses on allowing computing to be delivered as a service.
http://www.accelacomm.com/jaw/sfnl/114/51521223/
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