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1 row where author_association = "MEMBER", issue = 365367839 and user = 1217238 sorted by updated_at descending

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  • shoyer · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
427554497 https://github.com/pydata/xarray/pull/2449#issuecomment-427554497 https://api.github.com/repos/pydata/xarray/issues/2449 MDEyOklzc3VlQ29tbWVudDQyNzU1NDQ5Nw== shoyer 1217238 2018-10-06T07:49:55Z 2018-10-06T07:49:55Z MEMBER

I'm happy to defer to Iris users (like you) on what they would expect for converting to/from an xarray.Dataset.

 
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   Add 'to_iris' and 'from_iris' to methods Dataset 365367839

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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]);