github
html_url | issue_url | id | node_id | user | created_at | updated_at | author_association | body | reactions | issue | performed_via_github_app |
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https://github.com/simonw/datasette/issues/417#issuecomment-751504136 | https://api.github.com/repos/simonw/datasette/issues/417 | 751504136 | MDEyOklzc3VlQ29tbWVudDc1MTUwNDEzNg== | 212369 | 2020-12-27T19:02:06Z | 2020-12-27T19:02:06Z | NONE | Very much looking forward to seeing this functionality come together. This is probably out-of-scope for an initial release, but in the future it could be useful to also think of how to run this is a container'ized context. For example, an immutable datasette container that points to an S3 bucket of SQLite DBs or CSVs. Or an immutable datasette container pointing to a NFS volume elsewhere on a Kubernetes cluster. | { "total_count": 2, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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https://github.com/simonw/datasette/issues/417#issuecomment-473312514 | https://api.github.com/repos/simonw/datasette/issues/417 | 473312514 | MDEyOklzc3VlQ29tbWVudDQ3MzMxMjUxNA== | 9599 | 2019-03-15T14:42:07Z | 2019-03-17T22:12:30Z | OWNER | A neat ability of Datasette Library would be if it can work against other files that have been dropped into the folder. In particular: if a user drops a CSV file into the folder, how about automatically converting that CSV file to SQLite using [sqlite-utils](https://github.com/simonw/sqlite-utils)? | { "total_count": 2, "+1": 2, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0 } |
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