issue_comments
1 row where "updated_at" is on date 2021-12-16 and user = 3556 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 | issue | performed_via_github_app |
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996229007 | https://github.com/simonw/datasette/issues/1552#issuecomment-996229007 | https://api.github.com/repos/simonw/datasette/issues/1552 | IC_kwDOBm6k_c47YT-P | davidbgk 3556 | 2021-12-16T22:04:39Z | 2021-12-16T22:04:39Z | CONTRIBUTOR | Wow, that was fast, thank you so much @simonw !
I agree that it's not ideal, my initial naive approach was to detect if it's an array, like what is done here: But it requires an extra query to determine the type, which is a bit problematic, especially for big tables I guess. Taking a look at #510, I wonder if a To be consistent with the Throwing a lot of ideas without knowing the big picture… but sometimes newcomers have superpowers :). |
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Allow to set `facets_array` in metadata (like current `facets`) 1078702875 |
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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]);
user 1