How to read such file and sumarize the data?

[huisky]

the number before @ is the process id in the linux server and it is
identical.
So i do NOT think distinguish each job's starting and ending time is
difficult in this case.

Huisky

On Nov 17, 11:38 pm, Tim Harig <user... at ilthio.net> wrote:
> On 2010-11-17, huisky <hui... at gmail.com> wrote:
>
> > I want to read this file and do the summarize how much total CPU time
> > consumed for each user.
> > Is Python able to do so or say easy to achieve this?, anybody can give
> > me some hints, appricate very much!
>
> The question is, is the information you want available in the data.
>
>
>
> > Example log file.
> > **************************************************************************************
> > LSTC license server version 224 started at Sun Dec  6 18:56:48 2009
> > using configuration file /usr/local/lstc/server_data
> > xyz 15... at trofast3.marin.ntnu.no LS-DYNA_971 NCPU=1 started Sun Dec  6
> > 18:57:40
> > 15... at trofast3.marin.ntnu.no completed Sun Dec  6 19:42:55
> > xyz 15... at trofast3.marin.ntnu.no LS-DYNA_971 NCPU=2 started Sun Dec  6
> > 20:17:02
> > 15... at trofast3.marin.ntnu.no completed Sun Dec  6 20:26:03
> > xyz 18... at trofast2.marin.ntnu.no LS-DYNA_971 NCPU=1 started Sun Dec  6
> > 21:01:17
> > 18... at trofast2.marin.ntnu.no completed Sun Dec  6 21:01:28
> > tanhoi 5... at iimt-tanhoi-w.ivt.ntnu.no LS-DYNA_971 NCPU=1 started Mon
> > Dec  7 09:31:00
> > 5... at iimt-tanhoi-w.ivt.ntnu.no presumed dead Mon Dec  7 10:36:48
> > sabril 18... at trofast2.marin.ntnu.no LS-DYNA_971 NCPU=2 started Mon
> > Dec  7 13:14:47
> > 18... at trofast2.marin.ntnu.no completed Mon Dec  7 13:24:07
> > sabril 18... at trofast2.marin.ntnu.no LS-DYNA_971 NCPU=2 started Mon
> > Dec  7 14:21:34
> > sabril 18... at trofast2.marin.ntnu.no LS-DYNA_971 NCPU=2 started Mon
> > Dec  7 14:28:42
> > 18... at trofast2.marin.ntnu.no killed Mon Dec  7 14:31:48
> > 18... at trofast2.marin.ntnu.no killed Mon Dec  7 14:32:06
>
> I see starts, completes, kills, and presumed deads.  The question is can
> the starts be matched to the completes and kills either from the numbers
> before @ or from a combination of the address and NCPU.  You will need to
> figure out whether or not you want to count the presumed deads in your
> calculations.
>
> Assuming that the starts and stops can be corrilated, it is a simple matter
> of finding the pairs and using the datetime module to find the difference
> in time between them.