| From: | Stephan Szabo <sszabo(at)megazone(dot)bigpanda(dot)com> |
|---|---|
| To: | Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us> |
| Cc: | <pgsql-hackers(at)postgresql(dot)org> |
| Subject: | Re: Question with hashed IN |
| Date: | 2003-08-17 05:40:30 |
| Message-ID: | 20030816223402.A78105-201000@megazone.bigpanda.com |
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| Lists: | pgsql-hackers |
On Sun, 17 Aug 2003, Tom Lane wrote:
> Stephan Szabo <sszabo(at)megazone(dot)bigpanda(dot)com> writes:
> > Basically, the first thing I noticed was that changing reltuples
> > on the pg_class row for a table affected the speed of
> > explain analyze select * from othertable where foo not in (select bar from
> > table);
> > even when the plan wasn't changing, seqscan + filter on hashed subquery.
>
> That doesn't make any sense to me --- AFAICS, only the planner pays any
> attention to reltuples, so it could only affect things via changing the
> plan. Could we see details?
I've included a perl file that generates data like that I was using and
the output of the commands from that through psql -E on my machine. The
times seem pretty repeatable in any order so caching and such doesn't seem
to be playing a big part.
> > Then I noted that changing sort_mem changed the point at which it would
> > choose a hashed subquery in the initial plan based on the estimated
> > tuples, but didn't seem to actually affect the real memory usage,
>
> Yeah, the hashed=subquery code doesn't make any attempt to spill to
> disk. So if the planner's estimate is badly off, you could see actual
> usage well in excess of sort_mem.
Ah, that makes sense then.
| Attachment | Content-Type | Size |
|---|---|---|
| hashtest.pl | application/x-perl | 1.2 KB |
| hashtest.out | text/plain | 4.6 KB |
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