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1 row where author_association = "MEMBER", issue = 170259709 and user = 5635139 sorted by updated_at descending

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  • max-sixty · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
238724079 https://github.com/pydata/xarray/issues/956#issuecomment-238724079 https://api.github.com/repos/pydata/xarray/issues/956 MDEyOklzc3VlQ29tbWVudDIzODcyNDA3OQ== max-sixty 5635139 2016-08-09T23:32:01Z 2016-08-09T23:32:01Z MEMBER

Another option is to fully disallow non-unique indexes. Not sure how big a use case this is, so this might be a non-starter.

But two wondrous features of xarray: - Smaller & more defined surface than pandas, so not forced to have all these work arounds - Coords that aren't dimensions, so labels are possible in place of indexes

 
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}
   Skip identical indexes with non-unique values in align? 170259709

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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,
   [performed_via_github_app] TEXT,
   [issue] INTEGER REFERENCES [issues]([id])
);
CREATE INDEX [idx_issue_comments_issue]
    ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
    ON [issue_comments] ([user]);