issue_comments
1 row where "created_at" is on date 2021-01-06, issue = 627794879, reactions = "{"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0}" and user = 9599 sorted by updated_at descending
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issue 1
- Redesign default .json format · 1 ✖
id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | issue | performed_via_github_app |
---|---|---|---|---|---|---|---|---|---|---|---|
755484384 | https://github.com/simonw/datasette/issues/782#issuecomment-755484384 | https://api.github.com/repos/simonw/datasette/issues/782 | MDEyOklzc3VlQ29tbWVudDc1NTQ4NDM4NA== | simonw 9599 | 2021-01-06T18:31:14Z | 2021-01-06T18:31:57Z | OWNER | In building https://latest-with-plugins.datasette.io/github/issue_comments.Notebook?_labels=on I discovered the following patterns for importing data into both Pandas and Observable/d3:
Even given this I still think the correct default is an object with |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
Redesign default .json format 627794879 |
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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