RE: Poor row estimates from planner, stat `most_common_elems` sometimes missing for a text[] column
От | Mark Frost |
---|---|
Тема | RE: Poor row estimates from planner, stat `most_common_elems` sometimes missing for a text[] column |
Дата | |
Msg-id | PH3PPF1C905D6E61EEB89CF46C1F572D402E16EA@PH3PPF1C905D6E6.namprd15.prod.outlook.com обсуждение исходный текст |
Ответ на | Re: Poor row estimates from planner, stat `most_common_elems` sometimes missing for a text[] column (Frédéric Yhuel <frederic.yhuel@dalibo.com>) |
Ответы |
Re: Poor row estimates from planner, stat `most_common_elems` sometimes missing for a text[] column
|
Список | pgsql-performance |
> On 6/5/25 17:42, Mark Frost wrote:
> > Is there any good explanation for this behaviour? Preferably we’d like
> > some way for proper `most_common_elems` statistics to be collected in
> > our production database, in the hope that influences a good query plan
> > to always be selected.
> most_common_elems has a limited size, and if all the elements have the
> same freq, there's nothing we can do.
> You could do: alter table test alter column tags set statistics X;
> However, X is capped at 10000…
Actually *any* most_common_elems stats would be fine, because the reasoning is:
- If the searched element is in most_common_elems we know it’s frequency
- If it’s not, it’s less frequent than the least most_common_elems
So in our case when every row is unique, we’d only actually need stats to record a single most_common_elems (if only it would record one)
IBM United Kingdom Limited
Registered in England and Wales with number 741598
Registered office: Building C, IBM Hursley Office, Hursley Park Road, Winchester, Hampshire SO21 2JN
В списке pgsql-performance по дате отправления: