issue_comments
1 row where issue = 1423312198 and user = 5635139 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Remove debugging slow assert statement · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1291388733 | https://github.com/pydata/xarray/pull/7221#issuecomment-1291388733 | https://api.github.com/repos/pydata/xarray/issues/7221 | IC_kwDOAMm_X85M-Qc9 | max-sixty 5635139 | 2022-10-26T01:58:00Z | 2022-10-26T01:58:00Z | MEMBER | Gosh, that's quite dramatic! Impressive find @hmaarrfk. (out of interest, how did you find this?) I can see how that's quadratic when looping like that. I wonder whether using Would be interesting to see whether this was covered by our existing asv benchmarks. Would be a good benchmark to add if we don't have one already. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Remove debugging slow assert statement 1423312198 |
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