issue_comments
1 row where author_association = "MEMBER", issue = 1626630088 and user = 14808389 sorted by updated_at descending
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id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
---|---|---|---|---|---|---|---|---|---|---|---|
1479839303 | https://github.com/pydata/xarray/issues/7634#issuecomment-1479839303 | https://api.github.com/repos/pydata/xarray/issues/7634 | IC_kwDOAMm_X85YNI5H | keewis 14808389 | 2023-03-22T15:57:52Z | 2023-03-22T15:57:52Z | MEMBER | we don't usually assign issues, so you're free to just submit a pull request (don't forget to add tests that verify the new encoding actually works, though) |
{ "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
netcdf encoding "significant_digits" rather than least_significant_digit 1626630088 |
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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, [performed_via_github_app] TEXT, [issue] INTEGER REFERENCES [issues]([id]) ); CREATE INDEX [idx_issue_comments_issue] ON [issue_comments] ([issue]); CREATE INDEX [idx_issue_comments_user] ON [issue_comments] ([user]);
user 1