issue_comments

Table actions

1 row where author_association = "NONE", issue = 1688781350 and user = 40734014 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: created_at (date), updated_at (date)

user 1

  • trexfeathers · 1 ✖

issue 1

  • [skip-ci] Add cftime groupby, resample benchmarks · 1 ✖

author_association 1

  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1561481756 https://github.com/pydata/xarray/pull/7795#issuecomment-1561481756 https://api.github.com/repos/pydata/xarray/issues/7795 IC_kwDOAMm_X85dElIc trexfeathers 40734014 2023-05-24T16:07:58Z 2023-05-24T16:07:58Z NONE

If you're curious what happened, we had the same problem: https://github.com/SciTools/iris/issues/5280#issuecomment-1525802077

Just wish I'd spotted this sooner but it's quite hard to follow two organisations' repos 😆

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   [skip-ci] Add cftime groupby, resample benchmarks 1688781350

Advanced export

JSON shape: default, array, newline-delimited, object

CSV options: 

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]);