Re: can stored procedures with computational sql queries improve API performance?
Juan Rodrigo Alejandro Burgos Mella <rodrigoburgosmella@gmail.com>
From: Juan Rodrigo Alejandro Burgos Mella <rodrigoburgosmella@gmail.com>
To: Ron Johnson <ronljohnsonjr@gmail.com>
Cc: pgsql-general <pgsql-general@postgresql.org>
Date: 2024-07-10T20:37:01Z
Lists: pgsql-general
Great tip!!! Thx El mié, 10 de jul de 2024, 16:17, Ron Johnson <ronljohnsonjr@gmail.com> escribió: > On Tue, Jul 9, 2024 at 8:58 PM Krishnakant Mane <kkproghub@gmail.com> > wrote: > >> Hello. >> >> I have a straight forward question, but I am just trying to analyze the >> specifics. >> >> So I have a set of queries depending on each other in a sequence to >> compute some results for generating financial report. >> >> It involves summing up some amounts from tuns or of rows and also on >> certain conditions it categorizes the amounts into types (aka Debit >> Balance, Credit balance etc). >> >> There are at least 6 queries in this sequence and apart from 4 input >> parameters. these queries never change. >> >> So will I get any performance benefit by having them in a stored >> procedure rather than sending the queries from my Python based API? > > > One problem is that the query planner reverts to a generic query plan if > you execute the same query over and over in a loop in the SP. > > That bit us once. A big SP that had been running "normally" for months > suddenly went from about 20 minutes to six hours. The solution (given by > someone on this list a couple of years ago) was to add "set plan_cache_mode > = force_custom_plan;" above the call. > > That way, the query plan was updated every time. Performance dropped to > about 8 minutes IIRC. > >