From: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
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To: | Julius Tuskenis <julius(dot)tuskenis(at)gmail(dot)com> |
Cc: | "pgsql-performance(at)postgresql(dot)org" <pgsql-performance(at)postgresql(dot)org> |
Subject: | Re: performance of sql and plpgsql functions |
Date: | 2024-06-17 14:24:07 |
Message-ID: | 3174751.1718634247@sss.pgh.pa.us |
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Lists: | pgsql-performance |
Julius Tuskenis <julius(dot)tuskenis(at)gmail(dot)com> writes:
> EXPLAIN (ANALYZE, BUFFERS, VERBOSE)
> SELECT
> COALESCE(sum(mok_nepadengta), 0)
> FROM
> public.b_pardavimai
> JOIN public.b_mokejimai ON (mok_pardavimas = pard_id)
> WHERE
> (pard_tipas = ANY('{1, 2, 6, 7}'))
> AND (mok_saskaita = 7141968)
I believe that the SQL-language function executor always uses generic
plans for parameterized queries (which is bad, but nobody's gotten
round to improving it). So the above is a poor way of investigating
what will happen, because it corresponds to a custom plan for the
value 7141968. You should try something like
PREPARE p(integer) AS
SELECT COALESCE ...
... AND (mok_saskaita = $1);
SET plan_cache_mode TO force_generic_plan;
EXPLAIN ANALYZE EXECUTE p(7141968);
What I suspect is that the statistics for mok_saskaita are
highly skewed and so with a generic plan the planner will
not risk using a plan that depends on the parameter value
being infrequent, as the one you're showing does.
regards, tom lane
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