issue_comments
1 row where "created_at" is on date 2017-10-23 and "updated_at" is on date 2017-10-24 sorted by updated_at
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id | html_url | issue_url | node_id | user | created_at | updated_at ▼ | author_association | body | reactions | issue | performed_via_github_app |
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338523957 | https://github.com/simonw/datasette/issues/1#issuecomment-338523957 | https://api.github.com/repos/simonw/datasette/issues/1 | MDEyOklzc3VlQ29tbWVudDMzODUyMzk1Nw== | simonw 9599 | 2017-10-23T01:09:05Z | 2017-10-24T02:42:12Z | OWNER | I also need to solve for weird primary keys. If it’s a single integer or a single char field that’s easy. But what if it is a compound key with more than one chat field? What delimiter can I use that will definitely be safe? Let’s say I use hyphen. Now I need to find a durable encoding for any hyphens that might exist in the key fields themselves. How about I use URLencoding for every non-alpha-numeric character? That will turn hyphens into (I think) %2D. It should also solve for unicode characters, but it means the vast majority of keys (integers) will display neatly, including a compound key of eg 5678-345 | {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | Addressable pages for every row in a table 267513424 |
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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]);
updated_at (date) 1 ✖