Re: [PATCHES] Better default_statistics_target

On Jan 30, 2008 5:58 PM, Decibel! <decibel@decibel.org> wrote:
>
> On Mon, Jan 28, 2008 at 11:14:05PM +0000, Christopher Browne wrote:
> > On Dec 6, 2007 6:28 PM, Decibel! <decibel@decibel.org> wrote:
> > > FWIW, I've never seen anything but a performance increase or no change
> > > when going from 10 to 100. In most cases there's a noticeable
> > > improvement since it's common to have over 100k rows in a table, and
> > > there's just no way to capture any kind of a real picture of that with
> > > only 10 buckets.
> >
> > I'd be more inclined to try to do something that was at least somewhat
> > data aware.
> >
> > The "interesting theory" that I'd like to verify if I had a chance
> > would be to run through a by-column tuning using a set of heuristics.
> > My "first order approximation" would be:
> >
> > - If a column defines a unique key, then we know there will be no
> > clustering of values, so no need to increase the count...
> >
> > - If a column contains a datestamp, then the distribution of values is
> > likely to be temporal, so no need to increase the count...
> >
> > - If a column has a highly constricted set of values (e.g. - boolean),
> > then we might *decrease* the count.
> >
> > - We might run a query that runs across the table, looking at
> > frequencies of values, and if it finds a lot of repeated values, we'd
> > increase the count.
> >
> > That's a bit "hand-wavy," but that could lead to both increases and
> > decreases in the histogram sizes.  Given that, we can expect the
> > overall stat sizes to not forcibly need to grow *enormously*, because
> > we can hope for there to be cases of shrinkage.
>
> I think that before doing any of that you'd be much better off
> investigating how much performance penalty there is for maxing out
> default_statistict_target. If, as I suspect, it's essentially 0 on
> modern hardware, then I don't think it's worth any more effort.
>
> BTW, that investigation wouldn't just be academic either; if we could
> convince ourselves that there normally wasn't any cost associated with a
> high default_statistics_target, we could increase the default, which
> would reduce the amount of traffic we'd see on -performance about bad
> query plans.

There seems to be *plenty* of evidence out there that the performance
penalty would NOT be "essentially zero."

Tom points out:  eqjoinsel(), for one, is O(N^2) in the number of MCV values kept.

It seems to me that there are cases where we can *REDUCE* the
histogram width, and if we do that, and then pick and choose the
columns where the width increases, the performance penalty may be
"yea, verily *actually* 0."

This fits somewhat with Simon Riggs' discussion earlier in the month
about Segment Exclusion; these both represent cases where it is quite
likely that there is emergent data in our tables that can help us to
better optimize our queries.
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