issue_comments
1 row where user = 236498
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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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712397537 | https://github.com/simonw/datasette/issues/1032#issuecomment-712397537 | https://api.github.com/repos/simonw/datasette/issues/1032 | MDEyOklzc3VlQ29tbWVudDcxMjM5NzUzNw== | saulpw 236498 | 2020-10-19T19:37:55Z | 2020-10-19T19:37:55Z | NONE | python-dateutil is awesome, but it can only guess at one date at a time. So if you have a column of dates that are (presumably) in the same format, it can't use the full set of dates to deduce the format. Also, once it has parsed a date, you can't get the format it used, whether to parse or render other dates. These limitations prevent it from being a silver bullet for date parsing, though they're not enough for me to stop using it! | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Bring date parsing into Datasette core 724878151 |
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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]);