issue_comments

Table actions

1 row where author_association = "CONTRIBUTOR", issue = 792890765 and user = 7476523 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

  • bobwhitelock · 1 ✖

issue 1

  • ?_size=10 option for the arbitrary query page would be useful · 1 ✖

author_association 1

  • CONTRIBUTOR · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
777132761 https://github.com/simonw/datasette/issues/1200#issuecomment-777132761 https://api.github.com/repos/simonw/datasette/issues/1200 MDEyOklzc3VlQ29tbWVudDc3NzEzMjc2MQ== bobwhitelock 7476523 2021-02-11T00:29:52Z 2021-02-11T00:29:52Z CONTRIBUTOR

I'm probably missing something but what's the use case here - what would this offer over adding limit 10 to the query?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 ?_size=10 option for the arbitrary query page would be useful 792890765  

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,
   [issue] INTEGER REFERENCES [issues]([id])
, [performed_via_github_app] TEXT);
CREATE INDEX [idx_issue_comments_issue]
                ON [issue_comments] ([issue]);
CREATE INDEX [idx_issue_comments_user]
                ON [issue_comments] ([user]);