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Hello @skyhook88 , This is a scary feature 😅
Does of course not mean that the effort might not be worth it. Could I learn more about your usecase? Do you want to read or write these tables? How big are the tables you intend to pass / receive this way? Is it completely in memory or streamed? Are these tables the payload, or just a bunch of parameters? Currently this Artifact is all about (and only) connecting Arrow Arrays to ODBC bulk read/writes. It is by no means an abstraction of ODBC or a complete binding of the ODBC API. Intention is just table in/out as arrow over ODBC. |
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Hi @pacman82, are there any plans to support passing Table valued prams within arrow-odbc? Have been using pyarrow odbc and so far have found full coverage for what I need until now as I can't see passing TVP as been something currently possible.
https://github.com/mkleehammer/pyodbc/wiki/Working-with-Table-Valued-Parameters-(TVPs)
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