issue_comments
1 row where issue = 1170497629 and "updated_at" is on date 2022-03-19 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- [feature request] Publish to fully static website · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1072905467 | https://github.com/simonw/datasette/issues/1662#issuecomment-1072905467 | https://api.github.com/repos/simonw/datasette/issues/1662 | IC_kwDOBm6k_c4_8zz7 | simonw 9599 | 2022-03-19T00:42:23Z | 2022-03-19T00:42:23Z | OWNER | Those client-side SQLite tricks are really neat.
If you're not going to run any server-side code at all you don't need Datasette for this - you can upload the SQLite database file to any static hosting with CORS headers and load it into the client that way. In terms of static publishing, I do think there's something interesting about using Datasette to generate static sites. There's an issue discussing options for that over here:
|
{
"total_count": 0,
"+1": 0,
"-1": 0,
"laugh": 0,
"hooray": 0,
"confused": 0,
"heart": 0,
"rocket": 0,
"eyes": 0
} |
[feature request] Publish to fully static website 1170497629 |
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