issue_comments

Table actions

1 row where issue = 967854972 and user = 10194086 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: updated_at (date)

user 1

  • mathause · 1 ✖

issue 1

  • Ask PRs to annotate tests · 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
897881142 https://github.com/pydata/xarray/pull/5694#issuecomment-897881142 https://api.github.com/repos/pydata/xarray/issues/5694 IC_kwDOAMm_X841hJQ2 mathause 10194086 2021-08-12T18:42:52Z 2021-08-12T18:42:52Z MEMBER

An alternative would be to use check_untyped_defs. However, this would be much more strict. (I tried that once but ran into mypy errors I could not fix, so I gave up.) 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Ask PRs to annotate tests 967854972

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]);