issue_comments
1 row where author_association = "OWNER", issue = 274264175 and user = 9599 sorted by updated_at descending
This data as json, CSV (advanced)
issue 1
- datasette publish elasticbeanstalk · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
754192267 | https://github.com/simonw/datasette/issues/102#issuecomment-754192267 | https://api.github.com/repos/simonw/datasette/issues/102 | MDEyOklzc3VlQ29tbWVudDc1NDE5MjI2Nw== | simonw 9599 | 2021-01-04T20:13:19Z | 2021-01-04T20:13:19Z | OWNER | I'm more likely to do Lambda than Elastic Beanstalk, especially now the size limit for Lambdas has been increased as part of their support for Docker. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
datasette publish elasticbeanstalk 274264175 |
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