issue_comments
2 rows where issue = 275135719
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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 345495046 | https://github.com/simonw/datasette/issues/127#issuecomment-345495046 | https://api.github.com/repos/simonw/datasette/issues/127 | MDEyOklzc3VlQ29tbWVudDM0NTQ5NTA0Ng== | simonw 9599 | 2017-11-19T06:17:42Z | 2017-11-19T06:17:42Z | OWNER | Maybe I should support `&_count=1` to handle this - that would be easy to Ajax-in in conjenction with the other filters. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Filtered tables should show count of all matching rows, if fast enough 275135719 | |
| 345538016 | https://github.com/simonw/datasette/issues/127#issuecomment-345538016 | https://api.github.com/repos/simonw/datasette/issues/127 | MDEyOklzc3VlQ29tbWVudDM0NTUzODAxNg== | simonw 9599 | 2017-11-19T18:22:45Z | 2017-11-19T18:22:45Z | OWNER | I implemented a basic version of this in f59c840e7db8870afcdeba7a53bdea07bb674334 for custom SQL. | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Filtered tables should show count of all matching rows, if fast enough 275135719 |
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]);