Re: multivariate statistics v14
Simon Riggs <simon@2ndquadrant.com>
From: Simon Riggs <simon@2ndQuadrant.com>
To: Tatsuo Ishii <ishii@postgresql.org>
Cc: Tomas Vondra <tomas.vondra@2ndquadrant.com>, Robert Haas <robertmhaas@gmail.com>, David Steele <david@pgmasters.net>, Tom Lane <tgl@sss.pgh.pa.us>, Álvaro Herrera <alvherre@2ndquadrant.com>, Petr Jelinek <petr@2ndquadrant.com>, Jeff Janes <jeff.janes@gmail.com>, PostgreSQL-development <pgsql-hackers@postgresql.org>
Date: 2016-04-10T08:25:48Z
Lists: pgsql-hackers
On 9 April 2016 at 18:37, Tatsuo Ishii <ishii@postgresql.org> wrote: > > But I still think it wouldn't move the patch any closer to committable > > state, because what it really needs is review whether the catalog > > definition makes sense, whether it should be more like pg_statistic, > > and so on. Only then it makes sense to describe the catalog structure > > in the SGML docs, I think. That's why I added some basic SGML docs for > > CREATE/DROP/ALTER STATISTICS, which I expect to be rather stable, and > > not the catalog and other low-level stuff (which is commented heavily > > in the code anyway). > > Without "user-level docs" (now I understand that the term means all > SGML docs for you), it is very hard to find a visible > characteristics/behavior of the patch. CREATE/DROP/ALTER STATISTICS > just defines a user interface, and does not help how it affects to the > planning. The READMEs do not help either. > > In this case reviewing your code is something like reviewing a program > which has no specification. > > That's the reason why I said before below, but it was never seriously > considered. > I would likely have said this myself but didn't even get that far. Your contribution was useful and went further than anybody else's review, so thank you. -- Simon Riggs http://www.2ndQuadrant.com/ <http://www.2ndquadrant.com/> PostgreSQL Development, 24x7 Support, Remote DBA, Training & Services
Commits
-
Collect and use multi-column dependency stats
- 2686ee1b7ccf 10.0 landed
-
Implement SortSupport for macaddr data type
- f90d23d0c518 10.0 cited
-
Implement multivariate n-distinct coefficients
- 7b504eb282ca 10.0 landed
-
Generate fmgr prototypes automatically
- 352a24a1f9d6 10.0 cited