issue_comments

Table actions

1 row where user = 134771 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

  • dvhthomas · 1 ✖

author_association 1

id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
580075725 https://github.com/simonw/datasette/issues/661#issuecomment-580075725 https://api.github.com/repos/simonw/datasette/issues/661 MDEyOklzc3VlQ29tbWVudDU4MDA3NTcyNQ== dvhthomas 134771 2020-01-30T04:17:51Z 2020-01-30T04:17:51Z NONE

Thanks for the elegant solution to the problem as stated. I'm packaging right now :-)

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 --port option to expose a port other than 8001 in "datasette package" 555832585  

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]);