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2 rows where issue = 457201907

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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
503199253 https://github.com/simonw/datasette/issues/513#issuecomment-503199253 https://api.github.com/repos/simonw/datasette/issues/513 MDEyOklzc3VlQ29tbWVudDUwMzE5OTI1Mw== simonw 9599 2019-06-18T15:56:29Z 2019-06-18T15:56:29Z OWNER Unfortunately not - I really wish this was possible. I have not yet found a great serverless solution for publishing 1GB+ databases - they're too big for Heroku, Cloud Run OR Zeit Now. Once databases get that big the only option I've found is to run a VPS (or an EC2 instance) with a mounted hard drive volume and execute `datasette serve` on that instance, with an nginx running on port 80 that proxies traffic back to Datasette. I'd love to figure out a way to make hosting larger databases as easy as it currently is to host small ones. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Is it possible to publish to Heroku despite slug size being too large? 457201907  
503249999 https://github.com/simonw/datasette/issues/513#issuecomment-503249999 https://api.github.com/repos/simonw/datasette/issues/513 MDEyOklzc3VlQ29tbWVudDUwMzI0OTk5OQ== chrismp 7936571 2019-06-18T18:11:36Z 2019-06-18T18:11:36Z NONE Ah, so basically put the SQLite databases on Linode, for example, and run `datasette serve` on there? I'm comfortable with that. {"total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} Is it possible to publish to Heroku despite slug size being too large? 457201907  

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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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