issue_comments
1 row where "created_at" is on date 2019-11-08, issue = 519613116 and "updated_at" is on date 2019-11-11
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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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551349770 | https://github.com/simonw/datasette/issues/617#issuecomment-551349770 | https://api.github.com/repos/simonw/datasette/issues/617 | MDEyOklzc3VlQ29tbWVudDU1MTM0OTc3MA== | simonw 9599 | 2019-11-08T01:59:20Z | 2019-11-11T00:53:42Z | OWNER | This is what the code does: - Check if the table name is actually a canned query - if so execute that - Check for other parameters that need to be redirected - e.g. `?_filter_column=x` or `_sort_by_desc=y` - Turn the table + querystring parameters (`?foo=bar`, `?bar__contains=baz`, `?_where=`, `_sort=` etc) into a SQL query - Figure out pagination (apply limit, and handle [keyset pagination](https://simonwillison.net/2018/Oct/4/datasette-ideas/#Keyset_pagination)) - Calculate suggested facets against the non-paginated version of the query - Calculate facet counts against the non-paginated version of the query - Execute the query - Expand any foreign key references from the results | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Refactor TableView.data() method 519613116 |
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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]);