issue_comments
1 row where "created_at" is on date 2020-10-31 and "updated_at" is on date 2022-07-10 sorted by issue
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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 |
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719996693 | https://github.com/simonw/datasette/issues/1048#issuecomment-719996693 | https://api.github.com/repos/simonw/datasette/issues/1048 | MDEyOklzc3VlQ29tbWVudDcxOTk5NjY5Mw== | simonw 9599 | 2020-10-31T22:32:09Z | 2022-07-10T16:22:48Z | OWNER | The `row_path` part of these really isn't very user friendly, since you need to properly URL-encode the values. The safest way to do so is by calling this obscure, undocumented utility function: https://github.com/simonw/datasette/blob/f0bd2d05f5f7832df4879822afb99d2096c00d48/datasette/utils/__init__.py#L84-L98 This feels like it should be improved before I turn it into a documented API. (Note that this API deals with a `row` that is a potentially-nested dictionary - not with a `sqlite3.Row` object.) | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Documentation and unit tests for urls.row() urls.row_blob() methods 728905098 |
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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]);
updated_at (date) 1 ✖