issue_comments
1 row where issue = 324835838 and user = 296686 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Handle spatialite geometry columns better · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
744461856 | https://github.com/simonw/datasette/issues/276#issuecomment-744461856 | https://api.github.com/repos/simonw/datasette/issues/276 | MDEyOklzc3VlQ29tbWVudDc0NDQ2MTg1Ng== | robintw 296686 | 2020-12-14T14:04:57Z | 2020-12-14T14:04:57Z | NONE | I'm looking into using datasette with a database with spatialite geometry columns, and came across this issue. Has there been any progress on this since 2018? In one of my tables I'm just storing lat/lon points in a spatialite point geometry, and I've managed to make datasette-cluster-map display the points by extracting the lat and lon in SQL - using something like |
{ "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Handle spatialite geometry columns better 324835838 |
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