issue_comments
1 row where author_association = "MEMBER", issue = 615626118 and "updated_at" is on date 2020-05-11 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Try out ExifReader · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
626941278 | https://github.com/dogsheep/dogsheep-photos/issues/22#issuecomment-626941278 | https://api.github.com/repos/dogsheep/dogsheep-photos/issues/22 | MDEyOklzc3VlQ29tbWVudDYyNjk0MTI3OA== | simonw 9599 | 2020-05-11T20:25:58Z | 2020-05-11T20:25:58Z | MEMBER | Interesting - do you know if there's anything the I'm actually just going to extract a subset of the EXIF data at first - since the original photo files will always be available I don't feel the need to get everything out for the first step. My plan is to use EXIF to help support photo collections that aren't in Apple Photos - I'm going to build a database table keyed by the |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Try out ExifReader 615626118 |
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