issue_comments
1 row where "created_at" is on date 2022-01-26 and reactions = "{"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}"
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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 |
---|---|---|---|---|---|---|---|---|---|---|---|
1021860694 | https://github.com/simonw/datasette/issues/1613#issuecomment-1021860694 | https://api.github.com/repos/simonw/datasette/issues/1613 | IC_kwDOBm6k_c486FtW | simonw 9599 | 2022-01-26T04:57:53Z | 2022-01-26T04:57:53Z | OWNER | The existing flow where you can apply filters to a table and then click "View and edit SQL" to see the query is a good starting point. Group by queries are both crucially important and difficult to assemble for beginners. Providing a way to see the query that was used by a facet (since facets are really just group-by-counts) would be very useful, which could come out of this: - #1080 | {"total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Improvements to help make Datasette a better tool for learning SQL 1114628238 |
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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 ✖