Re: multivariate statistics (v25)
От | Sven R. Kunze |
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Тема | Re: multivariate statistics (v25) |
Дата | |
Msg-id | 48c43f17-ecde-d582-6442-34516dd35a99@mail.de обсуждение исходный текст |
Ответ на | Re: multivariate statistics (v25) (Tomas Vondra <tomas.vondra@2ndquadrant.com>) |
Список | pgsql-hackers |
Thanks Tomas and David for hacking on this patch. On 04.04.2017 20:19, Tomas Vondra wrote: > I'm not sure we still need the min_group_size, when evaluating > dependencies. It was meant to deal with 'noisy' data, but I think it > after switching to the 'degree' it might actually be a bad idea. > > Consider this: > > create table t (a int, b int); > insert into t select 1, 1 from generate_series(1, 10000) s(i); > insert into t select i, i from generate_series(2, 20000) s(i); > create statistics s with (dependencies) on (a,b) from t; > analyze t; > > select stadependencies from pg_statistic_ext ; > stadependencies > -------------------------------------------- > [{1 => 2 : 0.333344}, {2 => 1 : 0.333344}] > (1 row) > > So the degree of the dependency is just ~0.333 although it's obviously > a perfect dependency, i.e. a knowledge of 'a' determines 'b'. The > reason is that we discard 2/3 of rows, because those groups are only a > single row each, except for the one large group (1/3 of rows). Just for me to follow the comments better. Is "dependency" roughly the same as when statisticians speak about " conditional probability"? Sven
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