Ron Mayer <[EMAIL PROTECTED]> writes:

> It's common here for queries to vastly overestimate the
> number of pages that would need to be read because
> postgresql's guess at the correlation being practically 0
> despite the fact that the distinct values for any given
> column are closely packed on a few pages.

I think we need a serious statistics jock to pipe up with some standard
metrics that do what we need. Otherwise we'll never have a solid footing for
the predictions we make and will never know how much we can trust them.

That said I'm now going to do exactly what I just said we should stop doing
and brain storm about an ad-hoc metric that might help:

I wonder if what we need is something like: sort the sampled values by value
and count up the average number of distinct blocks per value. That might let
us predict how many pages a fetch of a specific value would retrieve. Or
perhaps we need a second histogram where the quantities are of distinct pages
rather than total records.

We might also need a separate "average number of n-block spans per value"
metric to predict how sequential the i/o will be in addition to how many pages
will be fetched.

  Gregory Stark

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