issue_comments

Table actions

1 row where issue = 1471685307 and user = 5635139 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

Suggested facets: updated_at (date)

user 1

  • max-sixty · 1 ✖

issue 1

  • Disable bottleneck by default? · 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
1334523276 https://github.com/pydata/xarray/issues/7344#issuecomment-1334523276 https://api.github.com/repos/pydata/xarray/issues/7344 IC_kwDOAMm_X85PizWM max-sixty 5635139 2022-12-01T22:22:02Z 2022-12-01T22:22:02Z MEMBER

I'd be fine with disabling, since bottleneck doesn't seem to be actively maintained.

Though I would say it's numerically unstable rather than incorrect! I would always want it enabled, but it does make sense to default to the conservative option.

I had dreams of making numbagg into a better bottleneck — it's just as fast, much more flexible, and integrates really well with xarray. But those dreams have not come to pass (yet!).

 
{
    "total_count": 2,
    "+1": 2,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Disable bottleneck by default? 1471685307

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]);