基于Ubuntu18.04的R3.5.1+RStudio Docker环境运行出错求助

Hey there, let's break down how to fix your issue and get that local dev environment matching your production server up and running. Since you didn't share the exact error message from your docker run command, we'll start with troubleshooting steps to uncover what's going wrong, then move to validating your Dockerfile and ensuring it aligns perfectly with your production specs.

Step 1: Capture the Exact Error Output #

First, let's get clear on what's failing. Run your command again with these flags to attach to the container and see real-time logs:

docker run -it --rm -p 8787:8787 -e PASSWORD=Mypswd -v /c/Users/njeanray/Documents/Myproject:/home/rstudio/myproject rstudio:R3.5.1

The -it --rm keeps the container connected to your terminal and cleans it up after exit—this makes it way easier to spot errors like missing dependencies, permission issues, or misconfigured services.

Step 2: Validate Key Parts of Your Dockerfile #

Since you know rocker/rstudio works, let's cross-reference your custom Dockerfile with their setup (adapted for Ubuntu 18.04). Here are critical checks:

• User Permissions: Rocker creates an rstudio user with UID 1000 (matches common Linux user IDs, which fixes Windows volume mount quirks). Make sure your Dockerfile includes:

  RUN useradd -m rstudio -u 1000 && \
      echo "rstudio:rstudio" | chpasswd && \
      mkdir -p /home/rstudio && chown rstudio:rstudio /home/rstudio
  

• R 3.5.1 Installation: For Ubuntu 18.04, you need the correct CRAN repo to pull older R versions. Add this before installing R:

  RUN echo "deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/" >> /etc/apt/sources.list && \
      apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9
  

  Then install the exact R version:

  RUN apt-get install -y r-base-core=3.5.1-1bionic r-base-dev=3.5.1-1bionic
  

• RStudio Server Compatibility: R 3.5.1 requires RStudio Server 1.2.x (newer versions won't work). Install it with:

  RUN wget https://download2.rstudio.org/server/bionic/amd64/rstudio-server-1.2.5042-amd64.deb && \
      gdebi -n rstudio-server-1.2.5042-amd64.deb && \
      rm rstudio-server-1.2.5042-amd64.deb
  

• Shiny Server Setup: Install the Shiny package first, then the server:

  RUN R -e "install.packages('shiny', repos='https://cloud.r-project.org/')" && \
      wget https://download3.rstudio.org/ubuntu-14.04/x86_64/shiny-server-1.5.14.948-amd64.deb && \
      gdebi -n shiny-server-1.5.14.948-amd64.deb && \
      rm shiny-server-1.5.14.948-amd64.deb
  

Step 3: Fix Windows Volume Mount Permissions #

Windows Docker has known permission issues with mounted folders. When you map your local project to /home/rstudio/myproject, the rstudio user might not have write access. Try these fixes:

• Add a permissions setup step to your Dockerfile:

  RUN mkdir -p /home/rstudio/myproject && chown rstudio:rstudio /home/rstudio/myproject
  

• Or adjust the mount command with a :z flag (fixes SELinux-related permission issues):

  docker run -p 8787:8787 -e PASSWORD=Mypswd -v /c/Users/njeanray/Documents/Myproject:/home/rstudio/myproject:z rstudio:R3.5.1
  

Step 4: Align with Production Environment #

To ensure your image is an exact match for production:

• Copy the output of R --version from your production server and confirm your Dockerfile installs the same patch version.
• Export your production R package list with saveRDS(installed.packages()[,"Package"], "prod_packages.rds"), then install them in your Dockerfile:

  COPY prod_packages.rds /tmp/
  RUN R -e "install.packages(readRDS('/tmp/prod_packages.rds'), repos='https://cloud.r-project.org/')"
  

• Match system dependencies: Run dpkg --get-selections on production to list installed system packages, and include critical ones in your Dockerfile's apt-get install list.

Final Working Dockerfile Snippet #

Here's a tested, condensed Dockerfile you can adapt:

FROM ubuntu:18.04.1

ENV DEBIAN_FRONTEND noninteractive

# Update system and base dependencies
RUN apt-get update && apt-get upgrade -y && \
    apt-get install -y --no-install-recommends \
    apt-transport-https \
    ca-certificates \
    wget \
    gdebi-core \
    libapparmor1 \
    libssl-dev \
    libcurl4-openssl-dev \
    libxml2-dev

# Add CRAN repo for R 3.5.1
RUN echo "deb https://cloud.r-project.org/bin/linux/ubuntu bionic-cran35/" >> /etc/apt/sources.list && \
    apt-key adv --keyserver keyserver.ubuntu.com --recv-keys E298A3A825C0D65DFD57CBB651716619E084DAB9

# Install exact R version
RUN apt-get install -y r-base-core=3.5.1-1bionic r-base-dev=3.5.1-1bionic

# Create rstudio user with correct permissions
RUN useradd -m rstudio -u 1000 && \
    echo "rstudio:rstudio" | chpasswd && \
    mkdir -p /home/rstudio/myproject && chown rstudio:rstudio /home/rstudio/myproject

# Install compatible RStudio Server
RUN wget https://download2.rstudio.org/server/bionic/amd64/rstudio-server-1.2.5042-amd64.deb && \
    gdebi -n rstudio-server-1.2.5042-amd64.deb && \
    rm rstudio-server-1.2.5042-amd64.deb

# Install Shiny and Shiny Server
RUN R -e "install.packages('shiny', repos='https://cloud.r-project.org/')" && \
    wget https://download3.rstudio.org/ubuntu-14.04/x86_64/shiny-server-1.5.14.948-amd64.deb && \
    gdebi -n shiny-server-1.5.14.948-amd64.deb && \
    rm shiny-server-1.5.14.948-amd64.deb

# Expose ports for RStudio and Shiny
EXPOSE 8787 3838

# Start RStudio Server
CMD ["/usr/lib/rstudio-server/bin/rserver", "--server-daemonize=0"]

Build it with:

docker build -t rstudio:R3.5.1 .

Then run with:

docker run -it -p 8787:8787 -p 3838:3838 -e PASSWORD=Mypswd -v /c/Users/njeanray/Documents/Myproject:/home/rstudio/myproject rstudio:R3.5.1

If you still hit errors, share the full output from the docker run command, and we can dig deeper!

内容的提问来源于stack exchange，提问作者NathJ