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/57#issuecomment-344145265,https://api.github.com/repos/simonw/datasette/issues/57,344145265,MDEyOklzc3VlQ29tbWVudDM0NDE0NTI2NQ==,247192,2017-11-14T04:45:38Z,2017-11-14T04:45:38Z,CONTRIBUTOR,"I'm happy to contribute this. Just let me know if you want a Dockerfile for development or production purposes, or both. 

If it's prod then we can just pip install the source from pypi, otherwise for dev we'll need a `requirements.txt` to speed up rebuilds.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",273127694,
https://github.com/simonw/datasette/issues/57#issuecomment-344147583,https://api.github.com/repos/simonw/datasette/issues/57,344147583,MDEyOklzc3VlQ29tbWVudDM0NDE0NzU4Mw==,247192,2017-11-14T05:03:47Z,2017-11-14T05:03:47Z,CONTRIBUTOR,"Let me know if you'd like a PR. The image is usable as 
`docker run --rm -t -i -p 9000:8001 -v $(pwd)/db:/db datasette datasette serve /db/chinook.db`","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",273127694,
https://github.com/simonw/datasette/issues/57#issuecomment-344151223,https://api.github.com/repos/simonw/datasette/issues/57,344151223,MDEyOklzc3VlQ29tbWVudDM0NDE1MTIyMw==,247192,2017-11-14T05:32:28Z,2017-11-14T05:33:03Z,CONTRIBUTOR,"The pattern is called ""multi-stage builds"". And the result is a svelte 226MB image (201MB for 3.6-slim) vs 700MB+ for the full image. It's possible to get it even smaller, but that takes a lot more work.","{""total_count"": 0, ""+1"": 0, ""-1"": 0, ""laugh"": 0, ""hooray"": 0, ""confused"": 0, ""heart"": 0, ""rocket"": 0, ""eyes"": 0}",273127694,