On Tue, Feb 2, 2010 at 5:06 AM, Yeb Havinga <yebhavinga@xxxxxxxxx> wrote: > I believe it does for (re) binding of parameter values to prepared > statements, but not in the case of an sql function. To test an idea, there > might be a workaround where you could write a pl/pgsql function that makes a > string with the query and actual parameter values and executes that new > query everytime. It's not as pretty as a sql function, but would give an > idea of how fast things would run with each loop replanned. Another idea is That, or just have the code generate a function on the fly, and then delete it. For example: CREATE FUNCTION tmp_highscores_for_steps_and_card_PID(steps_id int) RETURNS SETOF INTEGER LANGUAGE SQL AS $$ SELECT r.id FROM stomp_round r WHERE ($1 IS NULL OR r.steps_id = $1) AND r.user_card_id = 591 ORDER BY r.score DESC LIMIT 1 $$; SELECT tmp_highscores_for_steps_and_card_PID(s.id) FROM stomp_steps s; DROP FUNCTION tmp_highscores_for_steps_and_card_PID(int); An ugly hack, but it'd unblock things, at least. (Or, I hope so. I do have other variants of this, for things like "high scores in your country", "your 5 most recent high scores", etc. That's why I'm doing this dynamically like this, and not just caching high scores in another table.) > With indeed is not a solution because the with query is executed once, so it > cannot take a parameter. What about a window function on a join of > stomp_steps and stomp_round with partition by on steps_id and user_card is > and order by score and with row_number() < your third parameter. From the > docs I read that window functions cannot be part of the where clause: an > extra subselect leven is needed then to filter the correct row numbers. Someone suggested window functions for this back when I was designing it, and I looked at them. I recall it being very slow, always doing a seq scan, and it seemed like this wasn't quite what windowing was designed for... -- Glenn Maynard -- Sent via pgsql-performance mailing list (pgsql-performance@xxxxxxxxxxxxxx) To make changes to your subscription: http://www.postgresql.org/mailpref/pgsql-performance