issue_comments
1 row where author_association = "MEMBER", issue = 954574705 and user = 6628425 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Fix performance bug from cftime import · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
916860922 | https://github.com/pydata/xarray/pull/5640#issuecomment-916860922 | https://api.github.com/repos/pydata/xarray/issues/5640 | IC_kwDOAMm_X842pi_6 | spencerkclark 6628425 | 2021-09-10T12:16:45Z | 2021-09-10T12:16:45Z | MEMBER | Thanks for catching that additional spot.
Yes, understood. I just prefer that we are consistent across the code base -- either we use this pattern only where absolutely necessary or we use it everywhere. In light of that do you mind introducing this pattern in I think we don't have to worry about the tests, because they already follow this pattern to an extent; in building the After that, just fix the linting error and add a what's new entry, and I think this should be ready to go from my perspective. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Fix performance bug from cftime import 954574705 |
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