issue_comments
1 row where issue = 1718572201 and "updated_at" is on date 2023-05-21
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
id ▼ | html_url | issue_url | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
1556228395 | https://github.com/simonw/sqlite-utils/issues/547#issuecomment-1556228395 | https://api.github.com/repos/simonw/sqlite-utils/issues/547 | IC_kwDOCGYnMM5cwikr | simonw 9599 | 2023-05-21T17:11:15Z | 2023-05-21T17:11:15Z | OWNER | This will be a cosmetic change to the CLI output only - the options to save data to the database and the Python API function will continue to return `[(None, 158)]`. I can add an optimization though to avoid running the SQL count query if we know that it's all `null`. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | No need to show common values if everything is null 1718572201 |
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]);