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On Sun, 14 Jul 2024, 6:15 am Krishnakant Mane, <[email protected]> wrote:

> Hello.
>
> I am seasoned SQLAlchemy user and quite good in node's sequelise ORM.
>
> But I am new to the one with Django.So here's my situation.
>
> I am developing an accounting (book keeping ) automation software service.
>
> So there are accounting rules (Debit = Dr and credit = Cr) for double
> entry book keeping.
>
> Every transaction will have 2 or more amounts, at least 1 each for dr or
> Cr.
>
> These entries are called vouchers.
>
> We also store retail bills, receipts and payments again all in different
> tables.
>
> But the bills and receipt&payment tables are connected to the voucher
> table.
>
> The software generates reports such as cash flow, meaning day's opening
> balance, total Drs, total crs, and final closing balance (DRs - Crs).
>
> then there are Profit and Loss as well as balance sheet reports.
>
> All this needs a lot of aggregations (sum and counts ) and also joining
> of invoice + voucher and recept&payment + voucher tables.
>
> so here are my questions.
>
> 1: given the fact that I have created materialised views in Postgresql,
> should I even care to model them and use the ORM syntax instead of raw
> query?  What would perform better?
>
> 2: datasets are going to be huge some times in terms of shear rows (all
> transactions aka vouchers ) or some times sum and count will be used in
> complex queries on a huge dataset.
>
> Again, should I rely on raw queries or will ORM plan the queries for me
> better?  Should I instead create stored procedures and call them from my
> REST API?
>
> talking of which,
>
> 3: I am using Django REST Framework and serialising records is an option
> to get json output.
>
> Should I use it or just go with raw queries and convert output to JSON
> as required?
>
> Again performance is a question.
>
> Tip, My team is very proficient in SQL and yours truely can modestly
> call himself an expert in the same, so maintenance is not an issue here.
>
> Regards.
>
> Krishnakant.
>
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