From: | AYahorau(at)ibagroup(dot)eu |
---|---|
To: | nunks <nunks(dot)lol(at)gmail(dot)com> |
Cc: | MikalaiKeida(at)ibagroup(dot)eu, pgsql-admin(at)postgresql(dot)org |
Subject: | Re: A question regarding postgresql log messages, |
Date: | 2019-03-21 14:03:58 |
Message-ID: | OF5AC574FB.8DF0E559-ON432583C4.004C1A5C-432583C4.004D44F5@iba.by |
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Thread: | |
Lists: | pgsql-admin |
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
--
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“Life beats down and crushes the soul and art reminds you that you have
one.”
- Stella Adler
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