issue_comments
1 row where "created_at" is on date 2018-04-09, issue = 299760684 and "updated_at" is on date 2018-04-09 sorted by updated_at descending
This data as json, CSV (advanced)
Suggested facets: created_at (date), updated_at (date)
issue 1
- Metadata should be a nested arbitrary KV store · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
379595253 | https://github.com/simonw/datasette/issues/185#issuecomment-379595253 | https://api.github.com/repos/simonw/datasette/issues/185 | MDEyOklzc3VlQ29tbWVudDM3OTU5NTI1Mw== | simonw 9599 | 2018-04-09T00:24:10Z | 2018-04-09T00:24:10Z | OWNER | @carlmjohnson in case you aren't following along with #189 I've shipped the first working prototype of sort-by-column - you can try it out here: https://datasette-issue-189-demo-2.now.sh/salaries-7859114-7859114/2017+Maryland+state+salaries?_search=university&_sort_desc=annual_salary |
{ "total_count": 1, "+1": 0, "-1": 0, "laugh": 0, "hooray": 1, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Metadata should be a nested arbitrary KV store 299760684 |
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