| From: | Guyren Howe <guyren(at)gmail(dot)com> |
|---|---|
| To: | Krishnakant Mane <kkproghub(at)gmail(dot)com> |
| Cc: | "pgsql-general(at)lists(dot)postgresql(dot)org" <pgsql-general(at)lists(dot)postgresql(dot)org> |
| Subject: | Re: can stored procedures with computational sql queries improve API performance? |
| Date: | 2024-07-10 02:38:37 |
| Message-ID: | DD4467BE-F9EE-4869-B3A7-E0EA1FD82715@gmail.com |
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| Lists: | pgsql-general |
On 7/10/24 06:44, Guyren Howe wrote:
>> On Jul 9, 2024, at 17:58, 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?
>> Almost certainly.
>>
>> Doing it all in a stored procedure or likely even better a single query will remove all of the latency involved in going back 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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