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Research R, Python, Anaconda Update/Optimization #496
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Notes for Future Work:
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This has proven to be quite difficult. Earlier in the sprint I tried refactoring the docker-bits files, with the goal of separating and isolating the Anaconda installation to its own Anaconda.dockerfile. This has not worked out. Not working: Latest attempt: |
Blocked by #502 |
I don't think we need to install rstudio-server: I made the following update recently to the rstudio-server version but discovered the new version was not being used when I opened up rstudio-desktop as you can see the rstudio-server version is stuck at 2023.06.0-421. That version comes from which pins rstudio-server at 2023.06.0-421 We may be able to remove the rstudio-server installation step, saving time on builds. The following steps could be omitted from docker-bits/6_rstudio.Dockerfile # install rstudio-server
ARG RSTUDIO_VERSION=2023.06.1-524
ARG SHA256=208897f00b580b45c37dbb787dc482ff6d774b32c230f49578691b1a11f40c37
RUN apt-get update && \
apt install -y --no-install-recommends software-properties-common dirmngr gdebi-core && \
wget -qO- https://cloud.r-project.org/bin/linux/ubuntu/marutter_pubkey.asc | sudo tee -a /etc/apt/trusted.gpg.d/cran_ubuntu_key.asc && \
add-apt-repository "deb https://cloud.r-project.org/bin/linux/ubuntu jammy-cran40/" && \
apt install -y --no-install-recommends r-base r-base-core r-recommended r-base-dev && \
apt-get update && apt-get -y dist-upgrade |
We had a discussion during the August 31 2023 tech elab, which resulted in the following EPIC: #1822. |
The following issues StatCan/aaw#1784, #485 and #492 revealed a fundamental problem with the way Anaconda is installed in our images. We need to rethink the Anaconda installation.
Possible course of action:
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