issue_comments

Table actions

1 row where author_association = "MEMBER", issue = 551680561 and user = 5635139 sorted by updated_at descending

✎ View and edit SQL

This data as json, CSV (advanced)

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

These facets timed out: author_association, issue

user 1

  • max-sixty · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
589874060 https://github.com/pydata/xarray/pull/3706#issuecomment-589874060 https://api.github.com/repos/pydata/xarray/issues/3706 MDEyOklzc3VlQ29tbWVudDU4OTg3NDA2MA== max-sixty 5635139 2020-02-21T23:05:37Z 2020-02-21T23:05:37Z MEMBER

Although, I had interpreted @max-sixty's comment #3238 (comment) to mean that dtypes are compared, it appears from @shoyer's comment #3706 (comment) that this not the case.

I was wrong; I should have at least realized I didn't know. Apologies if that caused wasted time @jthielen

Separately: should assert_identical assert that the dtypes are the same? I'd have thought there should be some way of testing whether dtypes are consistent with expectations, and I'd have thought assert_identical would be it? 

{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Pint support for variables 551680561

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]);