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2 rows where author_association = "NONE", issue = 335200136 and user = 208018 sorted by updated_at descending

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  • dholth · 2 ✖

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  • Explore if SquashFS can be used to shrink size of packaged Docker containers · 2 ✖

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  • NONE · 2 ✖
id html_url issue_url node_id user created_at updated_at ▲ author_association body reactions issue performed_via_github_app
1043626870 https://github.com/simonw/datasette/issues/327#issuecomment-1043626870 https://api.github.com/repos/simonw/datasette/issues/327 IC_kwDOBm6k_c4-NHt2 dholth 208018 2022-02-17T23:37:24Z 2022-02-17T23:37:24Z NONE

On second thought any kind of quick-to-decompress-on-startup could be helpful if we're paying for the container registry and deployment bandwidth but not ephemeral storage.

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Explore if SquashFS can be used to shrink size of packaged Docker containers 335200136  
1043609198 https://github.com/simonw/datasette/issues/327#issuecomment-1043609198 https://api.github.com/repos/simonw/datasette/issues/327 IC_kwDOBm6k_c4-NDZu dholth 208018 2022-02-17T23:21:36Z 2022-02-17T23:33:01Z NONE

On fly.io. This particular database goes from 1.4GB to 200M. Slower, part of that might be having no --inspect-file?

``` $ datasette publish fly ... --generate-dir /tmp/deploy-this ... $ mksquashfs large.db large.squashfs $ rm large.db # don't accidentally put it in the image $ cat Dockerfile FROM python:3.8 COPY . /app WORKDIR /app

ENV DATASETTE_SECRET 'xyzzy' RUN pip install -U datasette

RUN datasette inspect large.db --inspect-file inspect-data.json

ENV PORT 8080 EXPOSE 8080 CMD mount -o loop -t squashfs large.squashfs /mnt; datasette serve --host 0.0.0.0 -i /mnt/large.db --cors --port $PORT ```

It would also be possible to copy the file onto the ~6GB available on the ephemeral container filesystem on startup. A little against the spirit of the thing? On this example the whole docker image is 2.42 GB and the squashfs version is 1.14 GB.

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Explore if SquashFS can be used to shrink size of packaged Docker containers 335200136  

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   [html_url] TEXT,
   [issue_url] TEXT,
   [id] INTEGER PRIMARY KEY,
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   [author_association] TEXT,
   [body] TEXT,
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