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  • Creating tables with custom datatypes · 3 ✖

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  • NONE · 3 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1248440137 https://github.com/simonw/sqlite-utils/issues/406#issuecomment-1248440137 https://api.github.com/repos/simonw/sqlite-utils/issues/406 IC_kwDOCGYnMM5Kaa9J psychemedia 82988 2022-09-15T18:13:50Z 2022-09-15T18:13:50Z NONE

I was wondering if you have any more thoughts on this? I have a tangible use case now: adding a "vector" column to a database to support semantic search using doc2vec embeddings (example; note that the vtfunc package may no longer be reliable...).

 
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 Creating tables with custom datatypes 1128466114  
1041363433 https://github.com/simonw/sqlite-utils/issues/406#issuecomment-1041363433 https://api.github.com/repos/simonw/sqlite-utils/issues/406 IC_kwDOCGYnMM4-EfHp psychemedia 82988 2022-02-16T10:57:03Z 2022-02-16T10:57:19Z NONE

Wondering if this actually relates to https://github.com/simonw/sqlite-utils/issues/402 ?

I also wonder if this would be a sensible approach for eg registering pint based quantity conversions into and out of the db, perhaps storing the quantity as a serialised magnitude measurement single column string?

 
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 Creating tables with custom datatypes 1128466114  
1041313679 https://github.com/simonw/sqlite-utils/issues/406#issuecomment-1041313679 https://api.github.com/repos/simonw/sqlite-utils/issues/406 IC_kwDOCGYnMM4-ES-P psychemedia 82988 2022-02-16T09:59:51Z 2022-02-16T10:00:10Z NONE

The CustomColumnType() approach looks good. This pushes you into the mindspace that you are defining and working with a custom column type.

When creating the table, you could then error, or at least warn, if someone wasn't setting a column on a type or a custom column type, which I guess is where mypy comes in?

 
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 Creating tables with custom datatypes 1128466114  

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