issue_comments

Table actions

1 row where author_association = "MEMBER", issue = 485446209 and user = 10194086 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

  • mathause · 1 ✖

issue 1

  • Warnings in the test suite · 1 ✖

author_association 1

  • MEMBER · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions performed_via_github_app issue
704290169 https://github.com/pydata/xarray/issues/3266#issuecomment-704290169 https://api.github.com/repos/pydata/xarray/issues/3266 MDEyOklzc3VlQ29tbWVudDcwNDI5MDE2OQ== mathause 10194086 2020-10-06T14:01:57Z 2020-10-07T09:32:37Z MEMBER

Currently most warnings (> 1500 of 1900) stem from netCDF4. They should be fixed in the newest netCDF4 version (1.5.4). See https://github.com/Unidata/netcdf4-python/blob/master/Changelog (alen -> len and tostring -> tobytes). However, netCDF 1.5.4 can not be installed alongside pynio (conda-forge/pynio-feedstock#90).

Addendum: Removing pynio from the tests and thus using the newest version of netCDF4 brings the warnings down to 71 (from 1931), see #4492

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Warnings in the test suite 485446209

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]);