14
Anyone having acceptable performance with SQL Server + odbc?
(programming.dev)
Welcome to the main community in programming.dev! Feel free to post anything relating to programming here!
Cross posting is strongly encouraged in the instance. If you feel your post or another person's post makes sense in another community cross post into it.
Hope you enjoy the instance!
Rules
Follow the wormhole through a path of communities !webdev@programming.dev
Hobbyist here, Is it normal for businesses to be having 50 mil rows to insert into a 50 columns wide database via a 2100+ parameters query, 15000 inserts at a time to a single DB?
It definitely seems unusual and poorly optimized...
Oh buddy, enjoy your life & don't touch Microsoft even with a 10 meters stick
Inserting 15k rows of 50 columns into a 50M table is something we do every day.
2100 params on a query sounds like spaghetti code.
I suspect OP is using single row insert statements when they need a bulk insert to be performant.
I am using SqlBulkInsert, given how bad MS is with naming things, that might as well be row inserts instead of bulks
2100 parameters is a documented ODBC limitation( which applies on all statements in a batch)
This means that a
"insert into (c1, c2) values (?,?), (?,?)..." can only have 2100 bound parameters, and has nothing to do with code, and even less that surrounding code is "spaghetti"
The tables ARE normalised, the fact that there are 50 colums is because underlying market - data calibration functions expects dozens of parameters, and returns back dozens of other results, such as volatility, implied durations, forward duration and more
The amount of immaturity, inexperience, and ignorance coming from 2 people here is astounding
Blocked
No. This seems like a poorly designed system. Definitely sounds like a nosql database would be a much better fit for this task.
And that many parameters seems like madness haha
Please enlighten us? You barely know anything about the system or usage, and you have deduced nosql is better? Lol
A flat 50 column table is usually an indicator of bad design and lack of normalization.
Nosql is absolutely ideal for flat data with lots of columns and huge amounts of rows. It's like one of its main use cases.
That many parameters is an indicator of poorly structured queries and spaghetti code. There is no way that's the best way the data can be structured.
You should take a break from trolling