issue_comments
1 row where issue = 440134714, "updated_at" is on date 2019-06-04 and user = 9599 sorted by updated_at descending
This data as json, CSV (advanced)
issue 1
- Define mechanism for plugins to return structured data · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
498838841 | https://github.com/simonw/datasette/issues/446#issuecomment-498838841 | https://api.github.com/repos/simonw/datasette/issues/446 | MDEyOklzc3VlQ29tbWVudDQ5ODgzODg0MQ== | simonw 9599 | 2019-06-04T20:51:37Z | 2019-06-04T20:51:37Z | OWNER | So the Python 3.7 way to do this would be dataclasses, but I still want to support 3.5. This excellent essay has made me think attrs might be the way to go: https://www.revsys.com/tidbits/dataclasses-and-attrs-when-and-why/ |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Define mechanism for plugins to return structured data 440134714 |
Advanced export
JSON shape: default, array, newline-delimited, object
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