issue_comments
1 row where author_association = "OWNER" and issue = 411257981 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Linked Data(sette) · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
473158506 | https://github.com/simonw/datasette/issues/412#issuecomment-473158506 | https://api.github.com/repos/simonw/datasette/issues/412 | MDEyOklzc3VlQ29tbWVudDQ3MzE1ODUwNg== | simonw 9599 | 2019-03-15T04:53:53Z | 2019-03-15T04:53:53Z | OWNER | I've been thinking about how Datasette instances could query each other for a while - it's a really interesting direction. There are some tricky problems to solve to get this to work. There's a SQLite mechanism called "virtual table functions" which can implement things like this, but it's not supported by Python's https://github.com/coleifer/sqlite-vtfunc is a library that enables this feature. I experimented with using that to implement a function that scrapes HTML content (with an eye to accessing data from other APIs and Datasette instances) a while ago: https://github.com/coleifer/sqlite-vtfunc/issues/6 The bigger challenge is how to get this kind of thing to behave well within a Python 3 async environment. I have some ideas here but they're going to require some very crafty engineering. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Linked Data(sette) 411257981 |
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