issue_comments
1 row where issue = 188395497 and user = 1217238 sorted by updated_at descending
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issue 1
- full_like, zeros_like, ones_like · 1 ✖
| id | html_url | issue_url | node_id | user | created_at | updated_at ▲ | author_association | body | reactions | performed_via_github_app | issue |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 259577874 | https://github.com/pydata/xarray/issues/1102#issuecomment-259577874 | https://api.github.com/repos/pydata/xarray/issues/1102 | MDEyOklzc3VlQ29tbWVudDI1OTU3Nzg3NA== | shoyer 1217238 | 2016-11-10T01:33:20Z | 2016-11-10T01:33:20Z | MEMBER | Indeed, I think this would be quite useful. |
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} |
full_like, zeros_like, ones_like 188395497 |
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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