issue_comments
1 row where author_association = "CONTRIBUTOR" and issue = 806436724 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- release 0.17.0 · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
780953464 | https://github.com/pydata/xarray/issues/4894#issuecomment-780953464 | https://api.github.com/repos/pydata/xarray/issues/4894 | MDEyOklzc3VlQ29tbWVudDc4MDk1MzQ2NA== | slevang 39069044 | 2021-02-18T00:51:04Z | 2021-02-18T00:51:04Z | CONTRIBUTOR | 4849 should be almost ready to go. Would be good for someone else to confirm the API makes sense. Additional features and performance enhancements could be added in later releases as long as the API is acceptable. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
release 0.17.0 806436724 |
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, [performed_via_github_app] TEXT, [issue] INTEGER REFERENCES [issues]([id]) ); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);
user 1