From: | Bertrand Drouvot <bertranddrouvot(dot)pg(at)gmail(dot)com> |
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To: | Andres Freund <andres(at)anarazel(dot)de> |
Cc: | Melanie Plageman <melanieplageman(at)gmail(dot)com>, Fujii Masao <masao(dot)fujii(at)oss(dot)nttdata(dot)com>, Guillaume Lelarge <guillaume(at)lelarge(dot)info>, Pg Hackers <pgsql-hackers(at)postgresql(dot)org>, Daniel Gustafsson <daniel(at)yesql(dot)se>, andrey(dot)chudnovskiy(at)microsoft(dot)com, Jelte Fennema-Nio <postgres(at)jeltef(dot)nl>, Jacob Champion <jacob(dot)champion(at)enterprisedb(dot)com> |
Subject: | Re: Log connection establishment timings |
Date: | 2025-02-28 05:14:17 |
Message-ID: | Z8FGKXiBcrYfHQwZ@ip-10-97-1-34.eu-west-3.compute.internal |
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Lists: | pgsql-hackers |
Hi,
On Thu, Feb 27, 2025 at 11:14:56AM -0500, Andres Freund wrote:
> I don't think the timing overhead is a relevant factor here - compared to the
> fork of a new connection or performing authentication the cost of taking a few
> timestamps is neglegible. A timestamp costs 10s to 100s of cycles, a fork many
> many millions. Even if you have a really slow timestamp function, it's still
> going to be way way cheaper.
That's a very good point, it has to be put in perspective. The difference in
scale is so significant that the timing collection shouldn't be a concern.
Fair point!
Now I'm thinking what about "if" the connection was on a multi-threaded model?
I think we could reach the same conclusion as thread creation overhead is
still substantial (allocating stack space, initializing thread state, and other
kernel-level operations) as compare to a really slow timestamp function.
Regards,
--
Bertrand Drouvot
PostgreSQL Contributors Team
RDS Open Source Databases
Amazon Web Services: https://aws.amazon.com
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