issue_comments

Table actions

1 row where author_association = "MEMBER", issue = 393978873 and user = 6815844 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

  • fujiisoup · 1 ✖

issue 1

  • Add flake check to travis · 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
449818503 https://github.com/pydata/xarray/pull/2632#issuecomment-449818503 https://api.github.com/repos/pydata/xarray/issues/2632 MDEyOklzc3VlQ29tbWVudDQ0OTgxODUwMw== fujiisoup 6815844 2018-12-25T07:45:23Z 2018-12-25T07:45:23Z MEMBER

Thanks, @max-sixty. I personally like to have a separate CI to check pep8 violation, so that we can easily distinguish whether the tests or pep8 fail by the green check in the bottom.

Do you have any idea about the ci for pep8? Or we can simply use the general ci such as circle ci?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
   Add flake check to travis 393978873

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]);