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1 row where user = 1059677

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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
500238035 https://github.com/simonw/datasette/issues/506#issuecomment-500238035 https://api.github.com/repos/simonw/datasette/issues/506 MDEyOklzc3VlQ29tbWVudDUwMDIzODAzNQ== Gagravarr 1059677 2019-06-09T19:21:18Z 2019-06-09T19:21:18Z NONE If you don't mind calling out to Java, then Apache Tika is able to tell you what a load of "binary stuff" is, plus render it to XHTML where possible. There's a python wrapper around the Apache Tika server, but for a more typical datasette usecase you'd probably just want to grab the Tika CLI jar, and call it with `--detect` and/or `--xhtml` to process the unknown binary blob {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Option to display binary data 453846217  

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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]);
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