Re: parsing audit table
От | M. D. |
---|---|
Тема | Re: parsing audit table |
Дата | |
Msg-id | 4E4AE5BB.309@turnkey.bz обсуждение исходный текст |
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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