Re: k-neighbourhood search in databases
От | Oleg Bartunov |
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Тема | Re: k-neighbourhood search in databases |
Дата | |
Msg-id | Pine.LNX.4.64.1104102137260.9772@sn.sai.msu.ru обсуждение исходный текст |
Ответ на | Re: k-neighbourhood search in databases (Jesper Krogh <jesper@krogh.cc>) |
Список | pgsql-hackers |
On Sun, 10 Apr 2011, Jesper Krogh wrote: > On 2011-04-10 12:18, Oleg Bartunov wrote: >> Wow, custom solution for 2008 still much faster Denali 2011 solution. >> Also, what's about not spatial data types ? In our approach, we can provide >> knn for any datatype, which has GiST index and distance method. > > Can you share some insight about how it would > work if the distance method is "expensive" (as in 100ms)? I don't understand how does your question connected with my statement :) Slow distance calculation affects gist-based ordered heap output as well as seqscan output from heap, but in the first case you need to calculate just a few distances (something like height of gist tree), while in the naive way one have to calculate n^2 distances. Regards, Oleg _____________________________________________________________ Oleg Bartunov, Research Scientist, Head of AstroNet (www.astronet.ru), Sternberg Astronomical Institute, Moscow University, Russia Internet: oleg@sai.msu.su, http://www.sai.msu.su/~megera/ phone: +007(495)939-16-83, +007(495)939-23-83
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