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/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 } |
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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 } |
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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 } |
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