issue_comments
1 row where author_association = "NONE" and user = 5696346 sorted by updated_at descending
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id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
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512951374 | https://github.com/pydata/xarray/pull/3136#issuecomment-512951374 | https://api.github.com/repos/pydata/xarray/issues/3136 | MDEyOklzc3VlQ29tbWVudDUxMjk1MTM3NA== | alando46 5696346 | 2019-07-18T19:19:28Z | 2019-07-18T19:19:28Z | NONE | @dcherian that makes sense to me and shouldn't be difficult to do. I basically just tried to follow the existing design pattern for the other attributes. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Added suppport for geotiff colormap() colorinterp to be loaded into attrs 468937654 |
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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]);
user 1