issue_comments

Table actions

1 row where issue = 1035496539 and user = 14371165 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: updated_at (date)

These facets timed out: author_association

user 1

  • Illviljan · 1 ✖

issue 1

  • Use importlib.resources to load files · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
951339173 https://github.com/pydata/xarray/pull/5896#issuecomment-951339173 https://api.github.com/repos/pydata/xarray/issues/5896 IC_kwDOAMm_X844tEil Illviljan 14371165 2021-10-25T21:17:23Z 2021-10-25T21:18:03Z MEMBER

Ah, I missed that #5845 had fixed this as well. I can close this one then. It never is as easy as I think...

 
{
    "total_count": 1,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 1
}
   Use importlib.resources to load files 1035496539

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]);