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  • Improvements to table label detection · 1 ✖

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id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
496367866 https://github.com/simonw/datasette/issues/485#issuecomment-496367866 https://api.github.com/repos/simonw/datasette/issues/485 MDEyOklzc3VlQ29tbWVudDQ5NjM2Nzg2Ng== simonw 9599 2019-05-28T05:14:06Z 2019-05-28T05:14:06Z OWNER

I'm going to generate statistics for every TEXT column.

Any column with more than 90% distinct rows (compared to the total count of rows) will be a candidate for the label.

I will then pick the candidate column with the shortest average length.

 
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 Improvements to table label detection  447469253  

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CREATE TABLE [issue_comments] (
   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
   [node_id] TEXT,
   [user] INTEGER REFERENCES [users]([id]),
   [created_at] TEXT,
   [updated_at] TEXT,
   [author_association] TEXT,
   [body] TEXT,
   [reactions] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
                ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
                ON [issue_comments] ([user]);