docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04  docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04  docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04

Shell快速替换命令

sed -i 's#jupyter/scipy-notebook:x86_64-ubuntu-22.04#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04#' deployment.yaml

Ansible快速分发-Docker

#ansible k8s -m shell -a 'docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04  docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04'

Ansible快速分发-Containerd

#ansible k8s -m shell -a 'ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04  docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04'

镜像构建历史

# 2023-10-21 03:06:48  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-10-21 03:06:48  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-21 03:06:48  79.23KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c MPLBACKEND=Agg python -c "import matplotlib.pyplot" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-21 03:06:46  0.00B 设置环境变量 XDG_CACHE_HOME
ENV XDG_CACHE_HOME=/home/jovyan/.cache/
                        
# 2023-10-21 03:06:46  2.31MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c git clone https://github.com/PAIR-code/facets &&     jupyter nbclassic-extension install facets/facets-dist/ --sys-prefix &&     rm -rf /tmp/facets &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-21 03:06:43  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-10-21 03:06:43  1.92GB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c mamba install --yes     'altair'     'beautifulsoup4'     'bokeh'     'bottleneck'     'cloudpickle'     'conda-forge::blas=*=openblas'     'cython'     'dask'     'dill'     'h5py'     'ipympl'    'ipywidgets'     'jupyterlab-git'     'matplotlib-base'     'numba'     'numexpr'     'openpyxl'     'pandas'     'patsy'     'protobuf'     'pytables'     'scikit-image'     'scikit-learn'     'scipy'     'seaborn'     'sqlalchemy'     'statsmodels'     'sympy'     'widgetsnbextension'    'xlrd' &&     mamba clean --all -f -y &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-21 02:53:53  50.00B 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c echo 'jupyterlab >=4.0.4' >> "${CONDA_DIR}/conda-meta/pinned" &&     echo 'notebook >=7.0.2' >> "${CONDA_DIR}/conda-meta/pinned" # buildkit
                        
# 2023-10-21 02:53:52  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-21 02:53:52  657.80MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     build-essential     cm-super     dvipng     ffmpeg &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-10-21 02:53:52  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-21 02:53:52  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-10-21 02:53:52  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-10-21 02:46:31  2.34KB 复制新文件或目录到容器中
COPY setup-scripts/ /opt/setup-scripts/ # buildkit
                        
# 2023-10-21 02:46:31  292.00B 复制新文件或目录到容器中
COPY Rprofile.site /opt/conda/lib/R/etc/ # buildkit
                        
# 2023-10-21 02:46:31  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-21 02:46:31  10.75KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c update-alternatives --install /usr/bin/nano nano /bin/nano-tiny 10 # buildkit
                        
# 2023-10-21 02:46:30  494.53MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     curl     git     nano-tiny     tzdata     unzip     vim-tiny     openssh-client     less     texlive-xetex     texlive-fonts-recommended     texlive-plain-generic     xclip &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-10-21 02:46:30  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-21 02:46:30  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-10-21 02:46:30  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-10-21 02:40:31  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-10-21 02:40:31  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-21 02:40:31  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "/etc/jupyter/docker_healthcheck.py || exit 1"] "5s" "3s" "5s" '\x03'}
                        
# 2023-10-21 02:40:31  2.50KB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c fix-permissions /etc/jupyter/ # buildkit
                        
# 2023-10-21 02:40:30  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-21 02:40:30  2.50KB 复制新文件或目录到容器中
COPY jupyter_server_config.py docker_healthcheck.py /etc/jupyter/ # buildkit
                        
# 2023-10-21 02:40:30  2.51KB 复制新文件或目录到容器中
COPY start-notebook.py start-notebook.sh start-singleuser.py start-singleuser.sh /usr/local/bin/ # buildkit
                        
# 2023-10-21 02:40:30  0.00B 设置默认要执行的命令
CMD ["start-notebook.py"]
                        
# 2023-10-21 02:40:30  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2023-10-21 02:40:30  0.00B 设置环境变量 JUPYTER_PORT
ENV JUPYTER_PORT=8888
                        
# 2023-10-21 02:40:30  517.62MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c mamba install --yes     'jupyterlab'     'notebook'     'jupyterhub'     'nbclassic' &&     jupyter server --generate-config &&     mamba clean --all -f -y &&     npm cache clean --force &&     jupyter lab clean &&     rm -rf "/home/${NB_USER}/.cache/yarn" &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-21 02:39:28  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-10-21 02:39:28  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-21 02:39:28  158.43MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     fonts-liberation     pandoc     run-one &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2023-10-21 02:39:28  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-21 02:39:28  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-10-21 02:39:28  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-10-21 02:37:37  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-10-21 02:37:37  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-21 02:37:37  0.00B 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.11 /bin/bash -o pipefail -c mkdir /usr/local/bin/start-notebook.d &&     mkdir /usr/local/bin/before-notebook.d # buildkit
                        
# 2023-10-21 02:37:37  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-21 02:37:37  12.96KB 复制新文件或目录到容器中
COPY run-hooks.sh start.sh /usr/local/bin/ # buildkit
                        
# 2023-10-21 02:37:37  0.00B 设置默认要执行的命令
CMD ["start.sh"]
                        
# 2023-10-21 02:37:37  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "-g" "--"]
                        
# 2023-10-21 02:37:37  287.63MB 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.11 /bin/bash -o pipefail -c set -x &&     arch=$(uname -m) &&     if [ "${arch}" = "x86_64" ]; then         arch="64";     fi &&     wget --progress=dot:giga -O /tmp/micromamba.tar.bz2         "https://micromamba.snakepit.net/api/micromamba/linux-${arch}/latest" &&     tar -xvjf /tmp/micromamba.tar.bz2 --strip-components=1 bin/micromamba &&     rm /tmp/micromamba.tar.bz2 &&     PYTHON_SPECIFIER="python=${PYTHON_VERSION}" &&     if [[ "${PYTHON_VERSION}" == "default" ]]; then PYTHON_SPECIFIER="python"; fi &&     ./micromamba install         --root-prefix="${CONDA_DIR}"         --prefix="${CONDA_DIR}"         --yes         "${PYTHON_SPECIFIER}"         'mamba'         'jupyter_core' &&     rm micromamba &&     mamba list python | grep '^python ' | tr -s ' ' | cut -d ' ' -f 1,2 >> "${CONDA_DIR}/conda-meta/pinned" &&     mamba clean --all -f -y &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-21 02:36:51  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-10-21 02:36:51  163.00B 复制新文件或目录到容器中
COPY initial-condarc /opt/conda/.condarc # buildkit
                        
# 2023-10-21 02:36:51  0.00B 执行命令并创建新的镜像层
RUN |4 NB_USER=jovyan NB_UID=1000 NB_GID=100 PYTHON_VERSION=3.11 /bin/bash -o pipefail -c mkdir "/home/${NB_USER}/work" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-21 02:36:50  0.00B 定义构建参数
ARG PYTHON_VERSION=3.11
                        
# 2023-10-21 02:36:50  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-10-21 02:36:50  13.44KB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c echo "auth requisite pam_deny.so" >> /etc/pam.d/su &&     sed -i.bak -e 's/^%admin/#%admin/' /etc/sudoers &&     sed -i.bak -e 's/^%sudo/#%sudo/' /etc/sudoers &&     useradd --no-log-init --create-home --shell /bin/bash --uid "${NB_UID}" --no-user-group "${NB_USER}" &&     mkdir -p "${CONDA_DIR}" &&     chown "${NB_USER}:${NB_GID}" "${CONDA_DIR}" &&     chmod g+w /etc/passwd &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-10-21 02:36:50  3.82KB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c sed -i 's/^#force_color_prompt=yes/force_color_prompt=yes/' /etc/skel/.bashrc &&    echo 'eval "$(command conda shell.bash hook 2> /dev/null)"' >> /etc/skel/.bashrc # buildkit
                        
# 2023-10-21 02:36:50  0.00B 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c chmod a+rx /usr/local/bin/fix-permissions # buildkit
                        
# 2023-10-21 02:36:49  1.04KB 复制新文件或目录到容器中
COPY fix-permissions /usr/local/bin/fix-permissions # buildkit
                        
# 2023-10-21 02:36:49  0.00B 设置环境变量 PATH HOME
ENV PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin HOME=/home/jovyan
                        
# 2023-10-21 02:36:49  0.00B 设置环境变量 CONDA_DIR SHELL NB_USER NB_UID NB_GID LC_ALL LANG LANGUAGE
ENV CONDA_DIR=/opt/conda SHELL=/bin/bash NB_USER=jovyan NB_UID=1000 NB_GID=100 LC_ALL=en_US.UTF-8 LANG=en_US.UTF-8 LANGUAGE=en_US.UTF-8
                        
# 2023-10-21 02:36:49  25.76MB 执行命令并创建新的镜像层
RUN |3 NB_USER=jovyan NB_UID=1000 NB_GID=100 /bin/bash -o pipefail -c apt-get update --yes &&     apt-get upgrade --yes &&     apt-get install --yes --no-install-recommends     bzip2     ca-certificates     locales     sudo     tini     wget &&     apt-get clean && rm -rf /var/lib/apt/lists/* &&     echo "en_US.UTF-8 UTF-8" > /etc/locale.gen &&     locale-gen # buildkit
                        
# 2023-10-21 02:36:49  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-10-21 02:36:49  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-10-21 02:36:49  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-10-21 02:36:49  0.00B 定义构建参数
ARG NB_GID=100
                        
# 2023-10-21 02:36:49  0.00B 定义构建参数
ARG NB_UID=1000
                        
# 2023-10-21 02:36:49  0.00B 定义构建参数
ARG NB_USER=jovyan
                        
# 2023-10-21 02:36:49  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-10-05 15:33:32  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-10-05 15:33:32  77.82MB 
/bin/sh -c #(nop) ADD file:63d5ab3ef0aab308c0e71cb67292c5467f60deafa9b0418cbb220affcd078444 in / 
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-10-05 15:33:30  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:f58b423fe51c4ec7ed64ea0e7ce00368c562c7a31649edc0a0309e43d54b8f64",
    "RepoTags": [
        "jupyter/scipy-notebook:x86_64-ubuntu-22.04",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook:x86_64-ubuntu-22.04"
    ],
    "RepoDigests": [
        "jupyter/scipy-notebook@sha256:3b37958b7b31ce94c3027d7c83c98fc16acfe166fab2de2f62ae54c50e59aed3",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/scipy-notebook@sha256:f3c59780ccde4931c322c6a0fc20d78218f68a37e3611d7ad713fdae2302a938"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2023-10-20T19:06:48.132154179Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "1000",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "8888/tcp": {}
        },
        "Tty": false,
        "OpenStdin": false,
        "StdinOnce": false,
        "Env": [
            "PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin",
            "DEBIAN_FRONTEND=noninteractive",
            "CONDA_DIR=/opt/conda",
            "SHELL=/bin/bash",
            "NB_USER=jovyan",
            "NB_UID=1000",
            "NB_GID=100",
            "LC_ALL=en_US.UTF-8",
            "LANG=en_US.UTF-8",
            "LANGUAGE=en_US.UTF-8",
            "HOME=/home/jovyan",
            "JUPYTER_PORT=8888",
            "XDG_CACHE_HOME=/home/jovyan/.cache/"
        ],
        "Cmd": [
            "start-notebook.py"
        ],
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "/etc/jupyter/docker_healthcheck.py || exit 1"
            ],
            "Interval": 5000000000,
            "Timeout": 3000000000,
            "StartPeriod": 5000000000,
            "Retries": 3
        },
        "ArgsEscaped": true,
        "Image": "",
        "Volumes": null,
        "WorkingDir": "/home/jovyan",
        "Entrypoint": [
            "tini",
            "-g",
            "--"
        ],
        "OnBuild": null,
        "Labels": {
            "maintainer": "Jupyter Project \u003cjupyter@googlegroups.com\u003e",
            "org.opencontainers.image.ref.name": "ubuntu",
            "org.opencontainers.image.version": "22.04"
        },
        "Shell": [
            "/bin/bash",
            "-o",
            "pipefail",
            "-c"
        ]
    },
    "Architecture": "amd64",
    "Os": "linux",
    "Size": 4141668991,
    "GraphDriver": {
        "Data": {
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