issue_comments
1 row where author_association = "NONE", "created_at" is on date 2019-05-23 and issue = 447408527 sorted by updated_at descending
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issue 1
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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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495034774 | https://github.com/simonw/datasette/issues/483#issuecomment-495034774 | https://api.github.com/repos/simonw/datasette/issues/483 | MDEyOklzc3VlQ29tbWVudDQ5NTAzNDc3NA== | jcmkk3 45919695 | 2019-05-23T01:38:32Z | 2019-05-23T01:43:04Z | NONE | I think that location information is one of the other common pieces of hierarchical data. At least one that is general enough that extra dimensions could be auto-generated. Also, I think this is an awesome project. Thank you for creating this. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Option to facet by date using month or year 447408527 |
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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