Re: parsing audit table

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От M. D.
Тема Re: parsing audit table
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Msg-id 4E4AE5BB.309@turnkey.bz
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Ответ на parsing audit table  ("M. D." <lists@turnkey.bz>)
Список pgsql-admin
Yes, that does work (and I've been doing just that), but I was hoping
for some database function (in python preferably) that I could return a
row with it's columns and then query corresponding data to make more
sense out of it.
I see it as a complicated function, but if someone would have a similar
function, it would make it 10x easier to make sense of the audit table.
I think it could be made to query corresponding data from any table.


On 08/16/2011 03:08 PM, Hoover, Jeffrey wrote:
> If you reformat it like:
>
>     original,B04TaEsAAIG5bEEX5xBVPQ,2,jakew,mag,...,2011-07-05
>     new, B04TaEsAAIG5bEEX5xBVPQ,3,jakew,mag,...,2011-08-04
>
> you could probably load it into excel
>
>
>
> -----Original Message-----
> From: pgsql-admin-owner@postgresql.org [mailto:pgsql-admin-owner@postgresql.org] On Behalf Of M. D.
> Sent: Tuesday, August 16, 2011 5:03 PM
> To: pgsql-sql@postgresql.org; pgsql-admin@postgresql.org
> Subject: [ADMIN] parsing audit table
>
> Hi everyone,
>
> I'm a bit lazy, or actually in a bit of a crunch.  I added an audit
> recording a few months ago, but never really used it much, but today I'm
> seeing a bunch of suspicious activity by one user.  Does someone have
> any function to quickly parse this data?
>
> I followed this: http://wiki.postgresql.org/wiki/Audit_trigger - so I'm
> hoping someone else has something to parse that.
>
> original data:
>
"(B04TaEsAAIG5bEEX5xBVPQ,2,jakew,mag,"",2011-07-05,2011-07-05,,,7,528284,"",2011-07-05,13:20:59,2011-07-05,"",A04CQUUABSxYfxftPQqJlg,,JUfhSzwADKqAFSN1Cbv+mg,BUiZqlIABburW7jqdY9JJQ,HUZPx0gACfCxy1Y34QSTQw,,,0,N,Y,Y,919.9100,0.0000,0.0000,2011-07-05,2011-07-05)"
> new data:
>
"(B04TaEsAAIG5bEEX5xBVPQ,3,jakew,mag,"",2011-07-05,2011-07-05,,,7,528284,"",2011-07-05,13:20:59,2011-07-05,"",A04CQUUABSxYfxftPQqJlg,,JUfhSzwADKqAFSN1Cbv+mg,BUiZqlIABburW7jqdY9JJQ,HUZPx0gACfCxy1Y34QSTQw,,,0,N,N,Y,919.9100,919.9100,0.0000,,2011-08-04)"
>
> those 22 alphanumeric columns are IDs.
>
> Thanks for any help,
> Mark
>


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