On Fri, 2002-11-29 at 13:22, Tom Lane wrote:
> Mike Benoit <mikeb@netnation.com> writes:
> > I'm just curious, will your proposed in/exists optimizations help for
> > queries like:
>
> > db=# explain delete from dns_expired_domains where domain_id in (select
> > domain_id from dns_expired_domains group by domain_id having count(*)=14
> > );
>
> Probably, but I'm more than a tad curious about why you're concerned
> about the efficiency of this particular example. Why would "count=14"
> be an interesting condition for deleting groups?
The count=14 isn't really that significate, basically I'm just looking
for faster execution of queries like:
(delete|select) from table where id in (select id from large_table2)
For cases where EXISTS won't work properly, and large_table2 has more
then ~50,000 rows.
>
> > Seq Scan on dns_expired_domains (cost=0.00..55448724329.92 rows=324754
> > width=6)
> > SubPlan
> > -> Materialize (cost=85370.33..85370.33 rows=64951 width=4)
> > -> Aggregate (cost=82122.79..85370.33 rows=64951 width=4)
> > -> Group (cost=82122.79..83746.56 rows=649508 width=4)
> > -> Sort (cost=82122.79..82122.79 rows=649508
> > width=4)
> > -> Seq Scan on dns_expired_domains
> > (cost=0.00..10316.08 rows=649508 width=4)
>
> What are the *actual*, not estimated, row counts here --- ie, how many
> rows in the table, and how many distinct domain_ids are you typically
> deleting?
650,000 actual rows in the table. 40,000 or so are returned by the
subquery. About 500,000 rows should end up being deleted.
>
> regards, tom lane
>
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--
Best Regards,
Mike Benoit
NetNation Communication Inc.
Systems Engineer
Tel: 604-684-6892 or 888-983-6600---------------------------------------Disclaimer: Opinions expressed here are my own
andnot necessarily those of my employer
