Re: "Big O" notation for postgres?
От | H. Hall |
---|---|
Тема | Re: "Big O" notation for postgres? |
Дата | |
Msg-id | 483474AB.4040807@reedyriver.com обсуждение исходный текст |
Ответ на | Re: "Big O" notation for postgres? (PFC <lists@peufeu.com>) |
Список | pgsql-performance |
PFC wrote: > On Wed, 21 May 2008 16:10:53 +0200, H. Hall wrote: > >> Does anyone know if there is a source that provides "Big O" notation >> for postgres's aggregate functions and operations? For example is >> count(*) = O(1) or O(n)? >> >> Do the developers for postgres use Big O when selecting algorithms? >> If so, is the info easily available? > > You can't do any better than O( n rows examined by the aggregate ) > except for max() and min() on an indexed expression, which in this > case aren't really aggrgates anymore since they are internally > rewritten as an index lookup to get the value you want... but stuff > like sum() or avg() or count() will always have to see all the rows > selected (and some more) unless you use clever hacks like materialized > views etc, in which case the thing in the O() will change, or at least > the O() constant will change... > Thank you PFC and also Jonah, and Richard for your replies. It occurs to me that Big O might be a useful way to understand/explain what is happening with situations like Albert's earlier today: I've got a query similar to this: > > > > select * from t1, t2 where t1.id > 158507 and t1.id = t2.id; > > > > That took > 84 minutes (the query was a bit longer but this is the part > > that made the difference) after a little change the query took ~1 second: > > > > select * from t1, t2 where t1.id > 158507 and t2.id > 158507 and t1.id = > > t2.id; BTW, anyone reading this and not familiar with Big O notation might want to check out these links. All are intro type articles: * An informal introduction to O(N) notation: http://www.perlmonks.org/?node_id=227909 * Analysis of Algorithms and Selection of Algorithms: http://www.cs.utk.edu/~parker/Courses/CS302-Fall06/Notes/complexity.html * Complexity and Big-O Notation http://pages.cs.wisc.edu/~hasti/cs367-common/notes/COMPLEXITY.html -- H. Hall ReedyRiver Group LLC http://www.reedyriver.com
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