From: | Ron Johnson <ronljohnsonjr(at)gmail(dot)com> |
---|---|
To: | pgsql-general <pgsql-general(at)postgresql(dot)org> |
Subject: | Re: can stored procedures with computational sql queries improve API performance? |
Date: | 2024-07-10 20:17:28 |
Message-ID: | CANzqJaCazZXsg4UuJhLOf8KC_1+bZLpA35R-MHA2n4Muky9Q0w@mail.gmail.com |
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Lists: | pgsql-general |
On Tue, Jul 9, 2024 at 8:58 PM Krishnakant Mane <kkproghub(at)gmail(dot)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.
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