Re: can stored procedures with computational sql queries improve API performance? - Mailing list pgsql-general

From Guyren Howe
Subject Re: can stored procedures with computational sql queries improve API performance?
Date
Msg-id DD4467BE-F9EE-4869-B3A7-E0EA1FD82715@gmail.com
Whole thread Raw
In response to Re: can stored procedures with computational sql queries improve API performance?  (Krishnakant Mane <kkproghub@gmail.com>)
List pgsql-general
On 7/10/24 06:44, Guyren Howe wrote:
>> On Jul 9, 2024, at 17:58, 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
intotypes (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
Pythonbased API? 
>> Almost certainly.
>>
>> Doing it all in a stored procedure or likely even better a single query will remove all of the latency involved in
goingback and forth between your app and the database. 
>>
>> Insofar as the queries you are running separately access similar data, a single query will be able to do that work
once.
>>
>> There are other potential benefits (a smaller number of queries reduces planning time, for example).
>
>
> Basically there are if else conditions and it's not just the queries but the conditional sequence in which they
execute.
>
> So one single query won't do the job.

You might be surprised what you can do in one query. Feel free to share.




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