From: | Juan Rodrigo Alejandro Burgos Mella <rodrigoburgosmella(at)gmail(dot)com> |
---|---|
To: | Ron Johnson <ronljohnsonjr(at)gmail(dot)com> |
Cc: | pgsql-general <pgsql-general(at)postgresql(dot)org> |
Subject: | Re: can stored procedures with computational sql queries improve API performance? |
Date: | 2024-07-10 20:37:01 |
Message-ID: | CAHbZ42yitXv_73f1HpCK79g6AeGdpgNJfmQ52JAQmxVU_G9FJg@mail.gmail.com |
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Thread: | |
Lists: | pgsql-general |
Great tip!!! Thx
El mié, 10 de jul de 2024, 16:17, Ron Johnson <ronljohnsonjr(at)gmail(dot)com>
escribió:
> 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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