issue_comments
1 row where user = 653549 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
1636134091 | https://github.com/simonw/datasette/issues/2087#issuecomment-1636134091 | https://api.github.com/repos/simonw/datasette/issues/2087 | IC_kwDOBm6k_c5hhWzL | adarshp 653549 | 2023-07-14T17:02:03Z | 2023-07-14T17:02:03Z | NONE | @asg017 - the docs say that the autodetection only occurs in configuration directory mode. I for one would also be interested in the For context, I am developing a large database for use with Datasette, but the database lives in a different network volume than my source code, since the volume in which my source code lives is aggressively backed up, while the location where the database lives is meant for temporary files and is not as aggressively backed up (since the backups would get unreasonably large). |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
`--settings settings.json` option 1765870617 |
Advanced export
JSON shape: default, array, newline-delimited, object
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]);
user 1