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MauroCL75 avatar MauroCL75 commented on June 10, 2024

The same thing happens for BYTE_ARRAY type. In that case the workaround is to cast to TEXT.

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WillAyd avatar WillAyd commented on June 10, 2024

Currently pantab doesn't support Tableau's numeric columns because there is no equivalent data type in the standard pandas type system, which was available at the time pantab was written. This could work if we made pyarrow a required dependency and mapped Tableau's numeric back to pyarrows decimal type.

Would need a community PR to make that happen - is that something you are interested in?

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MauroCL75 avatar MauroCL75 commented on June 10, 2024

I would say this would make pantab usable for my project. Many thanks.

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WillAyd avatar WillAyd commented on June 10, 2024

With pantab 4.0 this is getting closer to the realm of possibility. Would need the nanoarrow project to add Decimal functions as a pre-cursor first, which looks to be on the horizon

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WillAyd avatar WillAyd commented on June 10, 2024

Actually I was chatting with Tableau about this on their slack channel and as it turns out Numeric data types have a very limited implementation. The Tableau tool itself does not currently work with Numeric types, and Hyper as a database will not have the ability to store Numeric data until version 3 gets released (we are at 2 currently; I do not know when 3 will happen).

For now you can really only ever read NUMERIC types in Hyper as a result of a cast expression or algorithm

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