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Posted to notifications@superset.apache.org by "xavier-GitHub76 (via GitHub)" <gi...@apache.org> on 2023/10/18 12:07:01 UTC
[I] Error message: data type 'integer' not understood [superset]
xavier-GitHub76 opened a new issue, #25690:
URL: https://github.com/apache/superset/issues/25690
With supserset v3.0.0, I want to upload csv file with Column Data Types setted (on "COM" column)
On the screen, the help message is :
A dictionary with column names and their data types if you need to change the defaults. Example: {"user_id":"integer"}
but with {"COM":"integer"}, I have the error message "data type 'integer' not understood"
The import succeded with {"COM":"int"}
I don't find documentation about the format keywords for types
I test with :
- {"COM":"str"} ✔
- {"COM":"string"} ✔
- {"COM":"int"} ✔
- {"COM":"integer"} ❌
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Re: [I] fix: Error message: data type 'integer' not understood [superset]
Posted by "xavier-GitHub76 (via GitHub)" <gi...@apache.org>.
xavier-GitHub76 commented on issue #25690:
URL: https://github.com/apache/superset/issues/25690#issuecomment-1970916578
Not seeing how to reopen this anomaly, I declared a new one
https://github.com/apache/superset/issues/27305
I hope this is good practice
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Re: [I] fix: Error message: data type 'integer' not understood [superset]
Posted by "xavier-GitHub76 (via GitHub)" <gi...@apache.org>.
xavier-GitHub76 commented on issue #25690:
URL: https://github.com/apache/superset/issues/25690#issuecomment-1970900941
Hello,
Thanks for precision and link to Pandas dtypes.
The example displayed on the import screen is therefore misleading.
It should be: Example: {"user_id":"int"}
Best regards
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Re: [I] fix: Error message: data type 'integer' not understood [superset]
Posted by "xavier-GitHub76 (via GitHub)" <gi...@apache.org>.
xavier-GitHub76 commented on issue #25690:
URL: https://github.com/apache/superset/issues/25690#issuecomment-1790970008
Thanks for your action
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Re: [I] fix: Error message: data type 'integer' not understood [superset]
Posted by "DarkCoffeeLake (via GitHub)" <gi...@apache.org>.
DarkCoffeeLake commented on issue #25690:
URL: https://github.com/apache/superset/issues/25690#issuecomment-2019930656
> The supported data types come from [Pandas dtypes](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dtypes.html) and not from the database. That's why you can't import using `integer` but can with `int` 😉
As you mentioned I used the data type 'datetime' as referenced in Pandas dtypes but i still got the same error (I need both date and timestamp data type).
`apache superset error message: data type 'datetime' not understood`
I still can't fathom how the data types work and it should be mentioned in the documentation the different supported data types.
@michael-s-molina
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Re: [I] fix: Error message: data type 'integer' not understood [superset]
Posted by "michael-s-molina (via GitHub)" <gi...@apache.org>.
michael-s-molina closed issue #25690: fix: Error message: data type 'integer' not understood
URL: https://github.com/apache/superset/issues/25690
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Re: [I] fix: Error message: data type 'integer' not understood [superset]
Posted by "michael-s-molina (via GitHub)" <gi...@apache.org>.
michael-s-molina commented on issue #25690:
URL: https://github.com/apache/superset/issues/25690#issuecomment-1872314954
The supported data types come from [Pandas dtypes](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.dtypes.html) and not from the database. That's why you can't import using `integer` but can with `int` 😉
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