From: | Ron <ronljohnsonjr(at)gmail(dot)com> |
---|---|
To: | pgsql-admin(at)lists(dot)postgresql(dot)org |
Subject: | Re: A question regarding postgresql log messages, |
Date: | 2019-03-21 15:07:05 |
Message-ID: | 4a4ba715-ad82-6767-a5f9-225c985deb23@gmail.com |
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Thread: | |
Lists: | pgsql-admin |
If you see many of these errors, it could very well be an indication of a
hack attempt.
On 3/21/19 9:03 AM, AYahorau(at)ibagroup(dot)eu wrote:
> Thank you for your response.
>
> I agree with you concerning the significance of messages.
> I also consider that there is no need to pay attention to such type of errors:
> *28P01 FATAL : password authentication failed for user "user1"*
> despite its FATAL severity.
>
> But how can I distinguish between really significant errors and the errors
> which can be ignored?
> Is there some kind of indicator for it?
>
> Best regards,
> Andrei Yahorau
>
>
>
> From: nunks <nunks(dot)lol(at)gmail(dot)com>
> To: AYahorau(at)ibagroup(dot)eu,
> Cc: pgsql-admin(at)postgresql(dot)org, MikalaiKeida(at)ibagroup(dot)eu
> Date: 21/03/2019 16:31
> Subject: Re: A question regarding postgresql log messages,
> ----------------------------------------------------------------------------
>
>
>
> I think the error codes are documented mainly to be used in a
> development environment, like when writing a function that needs to
> listen to abnormal behaviour. If you're doing log based monitoring, I
> think it's safe to rely on the severity shown in the log file itself.
>
> The multiple possible severity levels for an error code are probably
> due to PostgreSQL's modular architecture: maybe an error is relatively
> negligible when raised to a client backend process, but a very severe
> one when coming from the postmaster.
>
> On 3/21/19, AYahorau(at)ibagroup(dot)eu <AYahorau(at)ibagroup(dot)eu> wrote:
> > Hello PostgreSQL Community!
> >
> > I have a question regarding PostgreSQL log messages.
> >
> > Operating with PostgreSQL and configuring it we need to understand that
> > everything goes well. To do this we monitor PostgreSQL log to be sure
> > that database works properly indeed.
> > We can do it based on error codes described here:
> > https://www.postgresql.org/docs/11/errcodes-appendix.html
> > and based on these error codes we can see if something is wrong.
> >
> > But in my view this is not enough. For example a message
> > 53400 configuration_limit_exceeded
> > can be represented in log with different severities: PANIC/ERROR/WARNING.
> > And there are a number of other similar examples.
> >
> > So, the problem is that it is not easy to understand if the error is
> > really critical for system or not.
> >
> > As far as I know a number of object-relational database management systems
> > provide full list of possible messages and relations between them.
> > It helps to understand that some critical error is not active any more and
> > the database works properly.
> >
> > Is there such a list for PostgreSQL which contains all the possible events
> > and their error codes. Is there a tool which helps to realize that some
> > FATAL/PANIC message is not actual now?
> >
> > Thank You in advance,
> > Andrei Yahorau
>
>
> --
> ----------
> “Life beats down and crushes the soul and art reminds you that you have one.”
>
>
> - Stella Adler
>
--
Angular momentum makes the world go 'round.
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