issue_comments
1 row where issue = 816526538 and user = 14294 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- sqlite-utils extract could handle nested objects · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
1236200834 | https://github.com/simonw/sqlite-utils/issues/239#issuecomment-1236200834 | https://api.github.com/repos/simonw/sqlite-utils/issues/239 | IC_kwDOCGYnMM5Jru2C | hubgit 14294 | 2022-09-03T21:26:32Z | 2022-09-03T21:26:32Z | NONE | I was looking for something like this today, for extracting columns containing objects (and arrays of objects) into separate tables. Would it make sense (especially for the fields containing arrays of objects) to create a one-to-many relationship, where each row of the newly created table would contain the id of the row that originally contained it? If the extracted objects have a unique id and are repeated, it could even create a many-to-many relationship, with a third table for the joins. |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
sqlite-utils extract could handle nested objects 816526538 |
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