From: | Robert Haas <robertmhaas(at)gmail(dot)com> |
---|---|
To: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
Cc: | Andres Freund <andres(at)anarazel(dot)de>, Alvaro Herrera <alvherre(at)2ndquadrant(dot)com>, Corey Huinker <corey(dot)huinker(at)gmail(dot)com>, Antonin Houska <ah(at)cybertec(dot)at>, Pavel Stehule <pavel(dot)stehule(at)gmail(dot)com>, PostgreSQL Hackers <pgsql-hackers(at)postgresql(dot)org> |
Subject: | Re: More efficient RI checks - take 2 |
Date: | 2020-04-28 12:18:59 |
Message-ID: | CA+TgmobBUycTOafKafb-7ExAsW77Oi+bDqy4Cks+sJC_g7FuzQ@mail.gmail.com |
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On Thu, Apr 23, 2020 at 10:35 AM Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> wrote:
> I think we're failing to communicate here. I agree that if the goal
> is simply to re-implement what the RI triggers currently do --- that
> is, retail one-row-at-a-time checks --- then we could probably dispense
> with all the parser/planner/executor overhead and directly implement
> an indexscan using an API at about the level genam.c provides.
> (The issue of whether it's okay to require an index to be available is
> annoying, but we could always fall back to the old ways if one is not.)
>
> However, what I thought this thread was about was switching to
> statement-level RI checking. At that point, what we're talking
> about is performing a join involving a not-known-in-advance number
> of tuples on each side. If you think you can hard-wire the choice
> of join technology and have it work well all the time, I'm going to
> say with complete confidence that you are wrong. The planner spends
> huge amounts of effort on that and still doesn't always get it right
> ... but it does better than a hard-wired choice would do.
Oh, yeah. If we're talking about that, then getting by without using
the planner doesn't seem feasible. Sorry, I guess I didn't read the
thread carefully enough.
As you say, perhaps there's room for both things, but also as you say,
it's not obvious how to decide intelligently between them.
--
Robert Haas
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company
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