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1 row where issue = 1169750048 and user = 39301725 sorted by updated_at descending

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  • thomas-fred · 1 ✖

issue 1

  • Multidimensional `interpolate_na()` · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1511131414 https://github.com/pydata/xarray/issues/6360#issuecomment-1511131414 https://api.github.com/repos/pydata/xarray/issues/6360 IC_kwDOAMm_X85aEgkW thomas-fred 39301725 2023-04-17T11:01:14Z 2023-04-17T11:01:14Z NONE

I'd also find this very useful

 
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   Multidimensional `interpolate_na()` 1169750048

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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]);