html_url,issue_url,id,node_id,user,created_at,updated_at,author_association,body,reactions,issue,performed_via_github_app
https://github.com/simonw/datasette/issues/144#issuecomment-392606044,https://api.github.com/repos/simonw/datasette/issues/144,392606044,MDEyOklzc3VlQ29tbWVudDM5MjYwNjA0NA==,9599,2018-05-28T21:29:42Z,2018-05-28T21:29:42Z,OWNER,"The other major limitation of APSW is its treatment of unicode: https://rogerbinns.github.io/apsw/types.html - it tells you that it is your responsibility to ensure that TEXT columns in your SQLite database are correctly encoded.

Since Datasette is designed to work against ANY SQLite database that someone may have already created, I see that as a show-stopping limitation.

Thanks to https://github.com/coleifer/sqlite-vtfunc I now have a working mechanism for virtual tables (I've even built a demo plugin with them - https://github.com/simonw/datasette-sql-scraper ) which was the main thing that interested me about APSW.

I'm going to close this as WONTFIX - I think Python's built-in `sqlite3` is good enough, and is now so firmly embedded in the project that making it pluggable would be more trouble than it's worth.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",276091279,