issue_comments

Table actions

1 row where author_association = "NONE" and issue = 964400482 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

issue 1

  • `sqlite-utils insert --flatten` option to flatten nested JSON · 1 ✖

author_association 1

  • NONE · 1 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
944918759 https://github.com/simonw/sqlite-utils/issues/310#issuecomment-944918759 https://api.github.com/repos/simonw/sqlite-utils/issues/310 IC_kwDOCGYnMM44UlDn rdtq 22523840 2021-10-16T13:54:56Z 2021-10-16T13:54:56Z NONE

It would be cool if --flatten worked with sqlite-utils memory as well.

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 `sqlite-utils insert --flatten` option to flatten nested JSON 964400482  

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]);