issue_comments

Table actions

1 row where author_association = "CONTRIBUTOR", "updated_at" is on date 2022-10-26 and user = 7908073 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

  • chapmanjacobd · 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
1292401308 https://github.com/simonw/sqlite-utils/pull/499#issuecomment-1292401308 https://api.github.com/repos/simonw/sqlite-utils/issues/499 IC_kwDOCGYnMM5NCHqc chapmanjacobd 7908073 2022-10-26T17:54:26Z 2022-10-26T17:54:51Z CONTRIBUTOR

The problem with how it is currently is that the transformed fts table will return incorrect results (unless the table was only 1 row or something), even if create_triggers was enabled previously. Maybe the simplest solution is to disable fts on a transformed table rather than try to recreate it? Thoughts?

 
{
    "total_count": 0,
    "+1": 0,
    "-1": 0,
    "laugh": 0,
    "hooray": 0,
    "confused": 0,
    "heart": 0,
    "rocket": 0,
    "eyes": 0
}
 feat: recreate fts triggers after table transform 1405196044  

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]);