From: | John Naylor <john(dot)naylor(at)enterprisedb(dot)com> |
---|---|
To: | Ashutosh Bapat <ashutosh(dot)bapat(dot)oss(at)gmail(dot)com> |
Cc: | David Rowley <dgrowleyml(at)gmail(dot)com>, Ashutosh Bapat <ashutosh(dot)bapat(at)enterprisedb(dot)com>, Robert Haas <robertmhaas(at)gmail(dot)com>, PostgreSQL Hackers <pgsql-hackers(at)lists(dot)postgresql(dot)org> |
Subject: | Re: disfavoring unparameterized nested loops |
Date: | 2021-06-18 16:32:29 |
Message-ID: | CAFBsxsGYd0kYx_C80LuHNE1=fQdpNA9McFEF9hA+=MrwwowZ4g@mail.gmail.com |
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On Fri, Jun 18, 2021 at 6:20 AM Ashutosh Bapat <ashutosh(dot)bapat(dot)oss(at)gmail(dot)com>
wrote:
> I have not come across many papers which leverage this idea. Googling
> "selectivity estimation confidence interval", does not yield many
> papers. Although I found [1] to be using a similar idea. So may be
> there's not merit in this idea, thought theoretically it sounds fine
> to me.
>
>
> [1]
https://pi3.informatik.uni-mannheim.de/~moer/Publications/vldb18_smpl_synop.pdf
Well, that paper's title shows it's a bit too far forward for us, since we
don't use samples during plan time (although that's a separate topic worth
considering). From the references, however, this one gives some
mathematical framing of the problem that lead to the thread subject,
although I haven't read enough to see if we can get practical advice from
it:
Y. E. Ioannidis and S. Christodoulakis. On the propagation of errors in the
size of join results.
https://www.csd.uoc.gr/~hy460/pdf/p268-ioannidis.pdf
--
John Naylor
EDB: http://www.enterprisedb.com
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