issue_comments
1 row where "created_at" is on date 2019-05-20, issue = 445868234, reactions = "{"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}" and user = 9599 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Make it so Docker build doesn't delay PyPI release · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
494064566 | https://github.com/simonw/datasette/issues/478#issuecomment-494064566 | https://api.github.com/repos/simonw/datasette/issues/478 | MDEyOklzc3VlQ29tbWVudDQ5NDA2NDU2Ng== | simonw 9599 | 2019-05-20T16:43:51Z | 2019-05-20T16:43:51Z | OWNER | The fix from @glasnt looks exactly right, I'll test it out next time I ship a minor release. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Make it so Docker build doesn't delay PyPI release 445868234 |
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