From: | Stephan Szabo <sszabo(at)megazone(dot)bigpanda(dot)com> |
---|---|
To: | Phil Endecott <spam_from_postgresql_lists(at)chezphil(dot)org> |
Cc: | pgsql-performance(at)postgresql(dot)org |
Subject: | Re: Optimisation of INTERSECT expressions |
Date: | 2004-03-23 15:14:46 |
Message-ID: | 20040323071350.Y86816@megazone.bigpanda.com |
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Thread: | |
Lists: | pgsql-performance |
On Tue, 23 Mar 2004, Stephan Szabo wrote:
> On Tue, 23 Mar 2004, Phil Endecott wrote:
>
> > Dear PostgresQL Experts,
> >
> > I am trying to get to the bottom of some efficiency problems and hope that
> > you can help. The difficulty seems to be with INTERSECT expressions.
> >
> > I have a query of the form
> > select A from T where C1 intersect select A from T where C2;
> > It runs in about 100 ms.
> >
> > But it is equivalent to this query
> > select A from T where C1 and C2;
> > which runs in less than 10 ms.
> >
> > Looking at the output of "explain analyse" on the first query, it seems
> > that PostgresQL always computes the two sub-expressions and then computes
> > an explicit intersection on the results. I had hoped that it would notice
> > that both subexpressions are scanning the same input table T and convert
> > the expression to the second form.
> >
> > Is there a reason why it can't do this transformation?
>
> Probably because noone's bothered to try to prove under what conditions
> it's the same.
>
> For example, given a non-unique A, the two queries can give different
> answers (if say the same two A values match both C1 and C2 in different
> rows how many output rows does each give? *), also given a non-stable A
> (for example random) the two queries are not necessarily equivalent.
Ugh, the example got trimmed out for the *
Given a non-unique A, C1 as B>5, c2 as C>5 and the data:
A | B | C
1 | 6 | 1
1 | 1 | 6
The intersect gives 1 row, the and query gives 0 AFAICS.
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