| From: | Robert Haas <robertmhaas(at)gmail(dot)com> |
|---|---|
| To: | Dean Rasheed <dean(dot)a(dot)rasheed(at)gmail(dot)com> |
| Cc: | John Naylor <jcnaylor(at)gmail(dot)com>, Simon Riggs <simon(at)2ndquadrant(dot)com>, Tom Lane <tgl(at)sss(dot)pgh(dot)pa(dot)us>, Jeff Janes <jeff(dot)janes(at)gmail(dot)com>, pgsql-hackers <pgsql-hackers(at)postgresql(dot)org> |
| Subject: | Re: MCV lists for highly skewed distributions |
| Date: | 2018-02-07 15:25:04 |
| Message-ID: | CA+TgmoaxBVa8UT-SSRVC+J+CpLZCZuR+my3UQ5id+bB=Y3C4GA@mail.gmail.com |
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| Lists: | pgsql-hackers |
On Wed, Feb 7, 2018 at 10:20 AM, Dean Rasheed <dean(dot)a(dot)rasheed(at)gmail(dot)com> wrote:
> One thing this new algorithm does do is improve the user's ability to
> get more MCVs by increasing the stats target. I'm not yet convinced
> there should be a separate knob for the RSE cutoff. For that to be
> useful, there would need to be some data distributions for which 10%
> (say) was clearly better, and some for which 20% was better. So far,
> there doesn't appear to be a massive difference between the two, and
> it's nothing that can't compensated for using the existing stats
> target knob.
Fair enough. Do you plan to press forward with this, then, or what's
the next step?
--
Robert Haas
EnterpriseDB: http://www.enterprisedb.com
The Enterprise PostgreSQL Company
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