On 7/3/2024 17:32, David Rowley wrote:
On Thu, 7 Mar 2024 at 21:17, Andrei Lepikhov <a.lepik...@postgrespro.ru> wrote:
I would like to ask David why the var_eq_const estimator doesn't have an
option for estimation with a histogram. Having that would relieve a
problem with skewed data. Detecting the situation with incoming const
that is out of the covered area would allow us to fall back to ndistinct
estimation or something else. At least, histogram usage can be
restricted by the reltuples value and ratio between the total number of
MCV values and the total number of distinct values in the table.
If you can think of a way how to calculate it, you should propose a patch.
IIRC, we try to make the histogram buckets evenly sized based on the
number of occurrences. I've not followed the code in default, I'd
guess that doing that allows us to just subtract off the MCV
frequencies and assume the remainder is evenly split over each
histogram bucket, so unless we had an n_distinct per histogram bucket,
or at the very least n_distinct_for_histogram_values, then how would
the calculation look for what we currently record?
Yeah, It is my mistake; I see nothing special here with such a kind of
histogram: in the case of a coarse histogram net, the level of
uncertainty in one bin is too high to make a better estimation. I am
just pondering detection situations when estimation constant is just out
of statistics scope to apply to alternative, more expensive logic
involving the number of index pages out of the boundary, index tuple
width, and distinct value. The Left and right boundaries of the
histogram are suitable detectors for such a situation.
--
regards,
Andrei Lepikhov
Postgres Professional
