issue_comments

Table actions

1 row where issue = 1125747268 and user = 14808389 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

  • keewis · 1 ✖

issue 1

  • Fix pickling issue · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
1031369013 https://github.com/pydata/xarray/pull/6249#issuecomment-1031369013 https://api.github.com/repos/pydata/xarray/issues/6249 IC_kwDOAMm_X849eXE1 keewis 14808389 2022-02-07T11:35:23Z 2022-02-07T11:45:09Z MEMBER

That's unrelated to this PR, you can safely ignore it.

scipy seems to have some issues with their setup (we're using their intersphinx registry, but the url for that returns a 404 error), so there's nothing we can do at the moment.

Edit: see #6250

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Fix pickling issue 1125747268

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]);