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94 lines
4.5 KiB
Markdown
94 lines
4.5 KiB
Markdown
---
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title: "Chowning files can take a lot of space in a Docker image"
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tags: ['Docker', 'ITSF', 'chown', 'history', 'layer', 'multi-stage builds']
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date: 2021-03-02T16:21:06.172437+00:00
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aliases: ["/chowning-files-dockerfile-can-take-lot-space"]
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---
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Today I learned that recursively changing the owner of a directory tree in a Dockerfile can result in some serious increase in image size.
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## 🚛 The issue
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You may remember how in a [previous post](/docker-images-layers-and-cache/) we used a small example to discuss layers and final image size. Well, here's our example again, slightly modified.
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```Dockerfile hl_lines="5"
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# Dockerfile
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FROM ubuntu
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WORKDIR /app
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RUN fallocate -l 100M example
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RUN chown 33:33 example
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```
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Given that the base image weighs ~75MB, we could expect the final image to weigh ~175MB (~75 from the base image + ~100 from the big file we generated).
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It turns out that since `chown`ing the file modifies it, the `example` file will count twice: once in the `fallocate` layer, and once in the `chown` layer, resulting in an image size of ~275MB.
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## 📉 Workaround
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Since creating "large" amounts of data in a Docker image can be quite common (think about dependencies, static files, etc), I guess that workaround strategies are required. Fortunately, our backs are covered.
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Let's take a slightly more complex example to illustrate some real life situations you might encounter:
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```Dockerfile
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FROM ubuntu AS build
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WORKDIR /build
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RUN fallocate -l 100M binary
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FROM ubuntu
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WORKDIR /app
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RUN fallocate -l 100M example
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COPY --from=build /build/binary /app/binary
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RUN chown -R 33:33 /app
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```
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This results in an image weighing 492MB. Let's bring it down to 283MB! (2x~100MB + ~75MB)
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```Dockerfile hl_lines="9 14 15 19"
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FROM ubuntu AS build
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WORKDIR /build
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RUN fallocate -l 100M binary
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FROM ubuntu
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WORKDIR /app
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# /app is empty so only the folder is modified.
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RUN chown -R 33:33 /app
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# Running these in the same step prevents docker
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# from generating an intermediate layer with the
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# wrong permissions and taking precious space.
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RUN fallocate -l 100M example \
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&& chown 33:33 example
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# Using --chown with COPY or ADD copies the files
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# with the right permissions in a single step.
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COPY --chown=33:33 --from=build /build/binary /app/binary
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```
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There you go! By being smart about when to run the permission changes, we just saved ourselves 200MB of disk space and network bandwidth. That's about 60% for this specific image!
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In the specific case I was investigating at [ITSF](https://itsf.io), the image went from ~1.6GB to ~0.95GB just from this `chown` trick. We were copying a bunch of files in a directory and at the end we chowned the whole directory recursively. That directory weighed about 650MB, which counted twice in the final image size.
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!!! info "Info"
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Of course this also works with "simple" `COPY` and `ADD` instructions. It's not reserved to copying files from other stages.
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## 📓 Don't forget history!
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I discovered that the `chown` was taking that much space using the underrated `docker history` command. I already briefly [introduced](/docker-images-layers-and-cache/#cache-invalidation) it previously but now felt like a good time to remind you of its existence 🙂
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Running it with our big 492MB image, here's the output:
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```
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$ docker history fat-image
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IMAGE CREATED CREATED BY SIZE COMMENT
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ec7efd2f2855 20 minutes ago /bin/sh -c chown -R 33:33 /app 210MB
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562cdd7db0dd 21 minutes ago /bin/sh -c #(nop) COPY file:3de744e61c00e7ca… 105MB
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e2b74aa6952e 30 minutes ago /bin/sh -c fallocate -l 100M example 105MB
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8637829f8e9b 2 months ago /bin/sh -c #(nop) WORKDIR /app 0B
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f643c72bc252 3 months ago /bin/sh -c #(nop) CMD ["/bin/bash"] 0B
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<missing> 3 months ago /bin/sh -c mkdir -p /run/systemd && echo 'do… 7B
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<missing> 3 months ago /bin/sh -c [ -z "$(apt-get indextargets)" ] 0B
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<missing> 3 months ago /bin/sh -c set -xe && echo '#!/bin/sh' > /… 811B
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<missing> 3 months ago /bin/sh -c #(nop) ADD file:4f15c4475fbafb3fe… 72.9MB
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```
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All the `<missing>` rows plus the first row with a real ID above (`f643c72bc252`) are the layers of the base image. All the layers above are the ones that compose our image. We can clearly see that the `chown` layer weighs 210MB by itself.
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That wraps it up for today! As always, I hope you learned something along the way 😊
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