Re: Suggestions wanted for 7.2.4 query - Mailing list pgsql-performance

From Josh Berkus
Subject Re: Suggestions wanted for 7.2.4 query
Date
Msg-id 200305041059.41468.josh@agliodbs.com
Whole thread Raw
In response to Re: Suggestions wanted for 7.2.4 query  (Tom Lane <tgl@sss.pgh.pa.us>)
Responses Re: Suggestions wanted for 7.2.4 query
List pgsql-performance
Tom,

> I have to take that back (must have been out too late last night ;-)).
> The EXISTS subquery *is* getting pushed down to become a restriction on
> events alone; that's what the "SubPlan" is.  However, it'd still be
> worth looking for another way to express it, because the planner is
> pretty clueless about the selectivity of EXISTS restrictions.  That's
> what's causing it to drastically overestimate the number of rows taken
> from "events" (14812 vs 1919), which in turn drives it away from using
> the nestloop-with-inner-indexscan join style for joining to "cases".

That may be solvable without forcing a seq scan on "events", simply by
overdetermining the criteria on date.  That is, I can't apply the date
criteria to "events" because that would require running date calucations on
each row forcing a seq scan ( i.e. (event_date + duration) between date_one
and date_two would require a seq scan), but I can apply a broadend version of
the criteria to "events" ( i.e. event_date between (date_one - 1 month) and
(date_two + 1 day)) which would give the planner the idea that it is
returning a minority of rows from "events".

Someday, we have to come up with a way of indexing simple multi-column
calculations.   Unless someone did that in current source while I was behind
on -hackers?

> Right.  The nestloop/indexscan style only wins if there are not too many
> outer rows.  If the EXISTS constraint actually did succeed for 14812
> "events" rows, the planner would probably be making the right choice to
> use a hash join.

Hmm.   Any hope of improving this in the future?  Like the IN() functionality
improvements in 7.4?

> BTW, have you tried lowering the value of "random_page_cost"?  Looking
> at the relative costs in these examples makes me think most of your
> tables are cached in memory.  Of course, if that's not true during
> day-to-day production then you need to be wary about reducing the setting.

No, we're probably cached ... the machine has 1gb of RAM.   Also it has a
really fast RAID array, at least for block disk reads, although random seek
times suck.   I can tweak a little.   The problem is that it's a production
machine in use 70 hours a week, so there isn't a lot of time we can test
performance settings that might cause problems.

Thanks for the advice!

--
Josh Berkus
Aglio Database Solutions
San Francisco


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