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2 rows where issue_url = "https://api.github.com/repos/simonw/datasette/issues/513" 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 | issue | performed_via_github_app |
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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 |
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Is it possible to publish to Heroku despite slug size being too large? 457201907 | |
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 I'd love to figure out a way to make hosting larger databases as easy as it currently is to host small ones. |
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Is it possible to publish to Heroku despite slug size being too large? 457201907 |
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