OCI 运行时创建失败:container_linux.go:380: 启动容器进程导致:设置用户:无效参数:未知
我正在尝试访问 docker 容器内的主机(ubuntu)文件夹(在开发过程中从容器中读取和写入)。所以我正在尝试的是,获取主机文件夹所有者的用户 ID 和groupid 并在 docker 容器中创建相同的用户,但是当我尝试构建映像时,我不断收到此错误,但我使用的是无根 docker 容器。
这是我的 dockerfile,
FROM nvidia/cuda:11.1.1-cudnn8-runtime-ubuntu18.04
ARG NB_USER="jovyan"
ARG NB_UID="312349448" #Userid for the host user
ARG NB_GID="1611487162" #Groupid for the host user
ENV HOME /home/${NB_USER}
ENV PYSPARK_PYTHON=python3
ENV PYSPARK_DRIVER_PYTHON=python3
RUN apt-get install -y --no-install-recommends ca-certificates && \
rm -rf /var/lib/apt/lists/* \
&& update-ca-certificates
RUN apt-get update && apt-get install -y \
tar \
wget \
bash \
rsync \
gcc \
curl \
wget \
htop \
git \
gcc \
sudo \
libfreetype6-dev \
libhdf5-serial-dev \
libpng-dev \
libzmq3-dev \
python3 \
python3-dev \
python3-pip
RUN apt-get update && \
useradd -l -m -s /bin/zsh -N -u "${NB_UID}" "${NB_USER}" && \
echo "${NB_USER} ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers
USER ${NB_UID}
WORKDIR /home/jovyan
RUN sudo chown -R ${NB_UID}:${NB_GID} /home/jovyan
# Jupyter lab & other python packages
RUN pip3 install --upgrade pip
RUN pip3 install --no-cache-dir awscli \
pyspark \
notebook==5.* \
numpy \
pandas \
jupyterlab \
jupyter-dash \
jupytext \
nbresuse \
ipywidgets
# Kubeflow specific stuff
ENV NB_PREFIX /
# COPY run.sh /run.sh
# RUN sudo chmod +x /run.sh
# CMD ["/run.sh"]
CMD ["jupyter", "lab","--notebook-dir=/home/jovyan","--ip=0.0.0.0","--allow-root","--no-browser","--port=8888","--ServerApp.token=''","--ServerApp.password=''"]
这是我收到的错误,我可以粗略地说它与用户相关,但不知道为什么会发生这种情况以及该怎么做,
Step 19/23 : RUN sudo chown -R ${NB_UID}:${NB_GID} /home/jovyan
---> Running in 10f8a668bcc1
OCI runtime create failed: container_linux.go:380: starting container process caused: setup user: invalid argument: unknown
I am trying to access host machine (ubuntu) folder within docker container (both to read and write from the container during my development). So what I am trying is, getting the host machine folder owner's userid & groupid and creating the same user within the docker container, but I keep getting this error when I try to build the image, I am using rootless docker container though.
Here is my dockerfile,
FROM nvidia/cuda:11.1.1-cudnn8-runtime-ubuntu18.04
ARG NB_USER="jovyan"
ARG NB_UID="312349448" #Userid for the host user
ARG NB_GID="1611487162" #Groupid for the host user
ENV HOME /home/${NB_USER}
ENV PYSPARK_PYTHON=python3
ENV PYSPARK_DRIVER_PYTHON=python3
RUN apt-get install -y --no-install-recommends ca-certificates && \
rm -rf /var/lib/apt/lists/* \
&& update-ca-certificates
RUN apt-get update && apt-get install -y \
tar \
wget \
bash \
rsync \
gcc \
curl \
wget \
htop \
git \
gcc \
sudo \
libfreetype6-dev \
libhdf5-serial-dev \
libpng-dev \
libzmq3-dev \
python3 \
python3-dev \
python3-pip
RUN apt-get update && \
useradd -l -m -s /bin/zsh -N -u "${NB_UID}" "${NB_USER}" && \
echo "${NB_USER} ALL=(ALL) NOPASSWD:ALL" >> /etc/sudoers
USER ${NB_UID}
WORKDIR /home/jovyan
RUN sudo chown -R ${NB_UID}:${NB_GID} /home/jovyan
# Jupyter lab & other python packages
RUN pip3 install --upgrade pip
RUN pip3 install --no-cache-dir awscli \
pyspark \
notebook==5.* \
numpy \
pandas \
jupyterlab \
jupyter-dash \
jupytext \
nbresuse \
ipywidgets
# Kubeflow specific stuff
ENV NB_PREFIX /
# COPY run.sh /run.sh
# RUN sudo chmod +x /run.sh
# CMD ["/run.sh"]
CMD ["jupyter", "lab","--notebook-dir=/home/jovyan","--ip=0.0.0.0","--allow-root","--no-browser","--port=8888","--ServerApp.token=''","--ServerApp.password=''"]
This is the error I am getting, I can roughly say its related to user, but dont know why this is happening and what to do,
Step 19/23 : RUN sudo chown -R ${NB_UID}:${NB_GID} /home/jovyan
---> Running in 10f8a668bcc1
OCI runtime create failed: container_linux.go:380: starting container process caused: setup user: invalid argument: unknown
如果你对这篇内容有疑问,欢迎到本站社区发帖提问 参与讨论,获取更多帮助,或者扫码二维码加入 Web 技术交流群。

绑定邮箱获取回复消息
由于您还没有绑定你的真实邮箱,如果其他用户或者作者回复了您的评论,将不能在第一时间通知您!
发布评论