Re: Improving GEQO
От | Merlin Moncure |
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Тема | Re: Improving GEQO |
Дата | |
Msg-id | CAHyXU0zNs8Fsr2arGMjbcB2zNKqaiPkxPHTYrC0Y9EoJivvqLw@mail.gmail.com обсуждение исходный текст |
Ответ на | Improving GEQO (boix <boix@uclv.cu>) |
Ответы |
Re: Improving GEQO
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Список | pgsql-hackers |
On Wed, May 27, 2015 at 3:06 PM, boix <boix@uclv.cu> wrote: > Hello, my partner and me are working with the goal of improve the GEQO's > performance, we tried with Ant Colony Optimization, but it does not improve, > actually we are trying with a new variant of Genetic Algorithm, specifically > Micro-GA. This algorithm finds a better solution than GEQO in less time, > however the total query execution time is higher. The fitness is calculated > by geqo_eval function. Does anybody know why this happens? > > We attach the patch made with the changes in postgresql-9.2.0. can you submit more details? for example 'explain analyze' (perhaps here: http://explain.depesz.com/) of the plans generated GEQO vs GA vs stock? It sounds like you might be facing an estimation miss which is not really an issue a better planner could solve. That said, assuming you're getting 'better' plans in less time suggest you might be on to something. merlin
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