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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
474282321 https://github.com/simonw/datasette/issues/412#issuecomment-474282321 https://api.github.com/repos/simonw/datasette/issues/412 MDEyOklzc3VlQ29tbWVudDQ3NDI4MjMyMQ== psychemedia 82988 2019-03-19T10:09:46Z 2019-03-19T10:09:46Z CONTRIBUTOR

Does this also relate to https://github.com/simonw/datasette/issues/283 and the ability to ATTACH DATABASE?

 
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 Linked Data(sette) 411257981  
473158506 https://github.com/simonw/datasette/issues/412#issuecomment-473158506 https://api.github.com/repos/simonw/datasette/issues/412 MDEyOklzc3VlQ29tbWVudDQ3MzE1ODUwNg== simonw 9599 2019-03-15T04:53:53Z 2019-03-15T04:53:53Z OWNER

I've been thinking about how Datasette instances could query each other for a while - it's a really interesting direction.

There are some tricky problems to solve to get this to work. There's a SQLite mechanism called "virtual table functions" which can implement things like this, but it's not supported by Python's sqlite3 module out of the box.

https://github.com/coleifer/sqlite-vtfunc is a library that enables this feature. I experimented with using that to implement a function that scrapes HTML content (with an eye to accessing data from other APIs and Datasette instances) a while ago: https://github.com/coleifer/sqlite-vtfunc/issues/6

The bigger challenge is how to get this kind of thing to behave well within a Python 3 async environment. I have some ideas here but they're going to require some very crafty engineering.

 
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