Re: Add a greedy join search algorithm to handle large join problems
| От | Pavel Stehule |
|---|---|
| Тема | Re: Add a greedy join search algorithm to handle large join problems |
| Дата | |
| Msg-id | CAFj8pRCO5ocbr-wFWx5QsKdfkW-=XuQ6zkW5FES7ERQZQHtpwQ@mail.gmail.com обсуждение исходный текст |
| Ответ на | Re: Add a greedy join search algorithm to handle large join problems (John Naylor <johncnaylorls@gmail.com>) |
| Ответы |
Re: Add a greedy join search algorithm to handle large join problems
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| Список | pgsql-hackers |
čt 11. 12. 2025 v 3:53 odesílatel John Naylor <johncnaylorls@gmail.com> napsal:
On Wed, Dec 10, 2025 at 5:20 PM Tomas Vondra <tomas@vondra.me> wrote:
> I did however notice an interesting thing - running EXPLAIN on the 99
> queries (for 3 scales and 0/4 workers, so 6x 99) took this much time:
>
> master: 8s
> master/geqo: 20s
> master/goo: 5s
> It's nice that "goo" seems to be faster than "geqo" - assuming the plans
> are comparable or better. But it surprised me switching to geqo makes it
> slower than master. That goes against my intuition that geqo is meant to
> be cheaper/faster join order planning. But maybe I'm missing something.
Yeah, that was surprising. It seems that geqo has a large overhead, so
it takes a larger join problem for the asymptotic behavior to win over
exhaustive search.
If I understand correctly to design - geqo should be slower for any queries with smaller complexity. The question is how many queries in the tested model are really complex.
--
John Naylor
Amazon Web Services
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