docker.io/jupyter/pyspark-notebook:python-3.9 linux/amd64

Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:python-3.9
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:python-3.9  docker.io/jupyter/pyspark-notebook:python-3.9

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:python-3.9
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:python-3.9  docker.io/jupyter/pyspark-notebook:python-3.9

Shell快速替换命令

sed -i 's#jupyter/pyspark-notebook:python-3.9#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:python-3.9#' 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/pyspark-notebook:python-3.9 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:python-3.9  docker.io/jupyter/pyspark-notebook:python-3.9'

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/pyspark-notebook:python-3.9 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:python-3.9  docker.io/jupyter/pyspark-notebook:python-3.9'

镜像构建历史

# 2022-10-10 06:01:22  0.00B 声明容器运行时监听的端口
EXPOSE map[4040/tcp:{}]
                        
# 2022-10-10 06:01:22  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2022-10-10 06:01:22  278.71MB 执行命令并创建新的镜像层
RUN |5 spark_version=3.3.0 hadoop_version=3 scala_version= spark_checksum=1e8234d0c1d2ab4462d6b0dfe5b54f2851dcd883378e0ed756140e10adfb5be4123961b521140f580e364c239872ea5a9f813a20b73c69cb6d4e95da2575c29c openjdk_version=17 /bin/bash -o pipefail -c mamba install --quiet --yes     'pyarrow' &&     mamba clean --all -f -y &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2022-10-10 06:00:38  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2022-10-10 06:00:38  662.00B 执行命令并创建新的镜像层
RUN |5 spark_version=3.3.0 hadoop_version=3 scala_version= spark_checksum=1e8234d0c1d2ab4462d6b0dfe5b54f2851dcd883378e0ed756140e10adfb5be4123961b521140f580e364c239872ea5a9f813a20b73c69cb6d4e95da2575c29c openjdk_version=17 /bin/bash -o pipefail -c fix-permissions "/etc/ipython/" # buildkit
                        
# 2022-10-10 06:00:37  662.00B 复制新文件或目录到容器中
COPY ipython_kernel_config.py /etc/ipython/ # buildkit
                        
# 2022-10-10 06:00:37  60.00B 执行命令并创建新的镜像层
RUN |5 spark_version=3.3.0 hadoop_version=3 scala_version= spark_checksum=1e8234d0c1d2ab4462d6b0dfe5b54f2851dcd883378e0ed756140e10adfb5be4123961b521140f580e364c239872ea5a9f813a20b73c69cb6d4e95da2575c29c openjdk_version=17 /bin/bash -o pipefail -c if [ -z "${scala_version}" ]; then     ln -s "spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}" "${SPARK_HOME}";   else     ln -s "spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}-scala${scala_version}" "${SPARK_HOME}";   fi &&   mkdir -p /usr/local/bin/before-notebook.d &&   ln -s "${SPARK_HOME}/sbin/spark-config.sh" /usr/local/bin/before-notebook.d/spark-config.sh # buildkit
                        
# 2022-10-10 06:00:37  0.00B 设置环境变量 SPARK_OPTS --driver-java-options --driver-java-options PATH
ENV SPARK_OPTS=--driver-java-options=-Xms1024M --driver-java-options=-Xmx4096M --driver-java-options=-Dlog4j.logLevel=info PATH=/opt/conda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/spark/bin
                        
# 2022-10-10 06:00:37  0.00B 设置环境变量 SPARK_HOME
ENV SPARK_HOME=/usr/local/spark
                        
# 2022-10-10 06:00:37  336.37MB 执行命令并创建新的镜像层
RUN |5 spark_version=3.3.0 hadoop_version=3 scala_version= spark_checksum=1e8234d0c1d2ab4462d6b0dfe5b54f2851dcd883378e0ed756140e10adfb5be4123961b521140f580e364c239872ea5a9f813a20b73c69cb6d4e95da2575c29c openjdk_version=17 /bin/bash -o pipefail -c if [ -z "${scala_version}" ]; then     wget -qO "spark.tgz" "https://archive.apache.org/dist/spark/spark-${APACHE_SPARK_VERSION}/spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz";   else     wget -qO "spark.tgz" "https://archive.apache.org/dist/spark/spark-${APACHE_SPARK_VERSION}/spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}-scala${scala_version}.tgz";   fi &&   echo "${spark_checksum} *spark.tgz" | sha512sum -c - &&   tar xzf "spark.tgz" -C /usr/local --owner root --group root --no-same-owner &&   rm "spark.tgz" # buildkit
                        
# 2022-10-10 06:00:17  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2022-10-10 06:00:17  195.16MB 执行命令并创建新的镜像层
RUN |5 spark_version=3.3.0 hadoop_version=3 scala_version= spark_checksum=1e8234d0c1d2ab4462d6b0dfe5b54f2851dcd883378e0ed756140e10adfb5be4123961b521140f580e364c239872ea5a9f813a20b73c69cb6d4e95da2575c29c openjdk_version=17 /bin/bash -o pipefail -c apt-get update --yes &&     apt-get install --yes --no-install-recommends     "openjdk-${openjdk_version}-jre-headless"     ca-certificates-java &&     apt-get clean && rm -rf /var/lib/apt/lists/* # buildkit
                        
# 2022-10-10 06:00:17  0.00B 设置环境变量 APACHE_SPARK_VERSION HADOOP_VERSION
ENV APACHE_SPARK_VERSION=3.3.0 HADOOP_VERSION=3
                        
# 2022-10-10 06:00:17  0.00B 定义构建参数
ARG openjdk_version=17
                        
# 2022-10-10 06:00:17  0.00B 定义构建参数
ARG spark_checksum=1e8234d0c1d2ab4462d6b0dfe5b54f2851dcd883378e0ed756140e10adfb5be4123961b521140f580e364c239872ea5a9f813a20b73c69cb6d4e95da2575c29c
                        
# 2022-10-10 06:00:17  0.00B 定义构建参数
ARG scala_version
                        
# 2022-10-10 06:00:17  0.00B 定义构建参数
ARG hadoop_version=3
                        
# 2022-10-10 06:00:17  0.00B 定义构建参数
ARG spark_version=3.3.0
                        
# 2022-10-10 06:00:17  0.00B 指定运行容器时使用的用户
USER root
                        
# 2022-10-10 06:00:17  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2022-10-10 06:00:17  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2022-10-10 05:49:16  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2022-10-10 05:49:16  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2022-10-10 05:49:16  77.53KB 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
                        
# 2022-10-10 05:49:14  0.00B 设置环境变量 XDG_CACHE_HOME
ENV XDG_CACHE_HOME=/home/jovyan/.cache/
                        
# 2022-10-10 05:49:14  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.git &&     jupyter nbextension install facets/facets-dist/ --sys-prefix &&     rm -rf /tmp/facets &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2022-10-10 05:49:12  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2022-10-10 05:49:12  931.14MB 执行命令并创建新的镜像层
RUN /bin/bash -o pipefail -c mamba install --quiet --yes     'altair'     'beautifulsoup4'     'bokeh'     'bottleneck'     'cloudpickle'     'conda-forge::blas=*=openblas'     'cython'     'dask'     'dill'     'h5py'     'ipympl'    'ipywidgets'     'matplotlib-base'     'numba'     'numexpr'     '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
                        
# 2022-10-10 05:47:21  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2022-10-10 05:47:21  635.57MB 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
                        
# 2022-10-10 05:47:21  0.00B 指定运行容器时使用的用户
USER root
                        
# 2022-10-10 05:47:21  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2022-10-10 05:47:21  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2022-10-10 05:41:59  292.00B 复制新文件或目录到容器中
COPY Rprofile.site /opt/conda/lib/R/etc/ # buildkit
                        
# 2022-10-10 05:41:59  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2022-10-10 05:41:59  10.57KB 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
                        
# 2022-10-10 05:41:58  493.25MB 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     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
                        
# 2022-10-10 05:41:58  0.00B 指定运行容器时使用的用户
USER root
                        
# 2022-10-10 05:41:58  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2022-10-10 05:41:58  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2022-10-10 05:37:52  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2022-10-10 05:37:52  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2022-10-10 05:37:52  0.00B 指定检查容器健康状态的命令
HEALTHCHECK &{["CMD-SHELL" "wget -O- --no-verbose --tries=1 --no-check-certificate     http${GEN_CERT:+s}://localhost:8888${JUPYTERHUB_SERVICE_PREFIX:-/}api || exit 1"] "15s" "3s" "5s" '\x03'}
                        
# 2022-10-10 05:37:52  3.67KB 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=3.9 /bin/bash -o pipefail -c sed -re "s/c.ServerApp/c.NotebookApp/g"     /etc/jupyter/jupyter_server_config.py > /etc/jupyter/jupyter_notebook_config.py &&     fix-permissions /etc/jupyter/ # buildkit
                        
# 2022-10-10 05:37:52  0.00B 指定运行容器时使用的用户
USER root
                        
# 2022-10-10 05:37:52  1.83KB 复制新文件或目录到容器中
COPY jupyter_server_config.py /etc/jupyter/ # buildkit
                        
# 2022-10-10 05:37:52  13.22KB 复制新文件或目录到容器中
COPY start.sh start-notebook.sh start-singleuser.sh /usr/local/bin/ # buildkit
                        
# 2022-10-10 05:37:52  0.00B 设置默认要执行的命令
CMD ["start-notebook.sh"]
                        
# 2022-10-10 05:37:52  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "-g" "--"]
                        
# 2022-10-10 05:37:52  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2022-10-10 05:37:52  624.45MB 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=3.9 /bin/bash -o pipefail -c set -x &&     arch=$(uname -m) &&     if [ "${arch}" = "x86_64" ]; then         arch="64";     fi &&     wget -qO /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'         'notebook'         'jupyterhub'         'jupyterlab' &&     rm micromamba &&     mamba list python | grep '^python ' | tr -s ' ' | cut -d ' ' -f 1,2 >> "${CONDA_DIR}/conda-meta/pinned" &&     jupyter notebook --generate-config &&     mamba clean --all -f -y &&     npm cache clean --force &&     jupyter lab clean &&     rm -rf "/home/${NB_USER}/.cache/yarn" &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2022-10-10 05:36:17  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2022-10-10 05:36:17  163.00B 复制新文件或目录到容器中
COPY initial-condarc /opt/conda/.condarc # buildkit
                        
# 2022-10-10 05:36:17  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=3.9 /bin/bash -o pipefail -c mkdir "/home/${NB_USER}/work" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2022-10-10 05:36:17  0.00B 定义构建参数
ARG PYTHON_VERSION=3.9
                        
# 2022-10-10 05:36:17  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2022-10-10 05:36:17  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 -l -m -s /bin/bash -N -u "${NB_UID}" "${NB_USER}" &&     mkdir -p "${CONDA_DIR}" &&     chown "${NB_USER}:${NB_GID}" "${CONDA_DIR}" &&     chmod g+w /etc/passwd &&     fix-permissions "${HOME}" &&     fix-permissions "${CONDA_DIR}" # buildkit
                        
# 2022-10-10 05:36:17  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
                        
# 2022-10-10 05:36:16  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
                        
# 2022-10-10 05:36:16  1.04KB 复制新文件或目录到容器中
COPY fix-permissions /usr/local/bin/fix-permissions # buildkit
                        
# 2022-10-10 05:36:16  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
                        
# 2022-10-10 05:36:16  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
                        
# 2022-10-10 05:36:16  183.72MB 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     fonts-liberation     locales     pandoc     run-one     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
                        
# 2022-10-10 05:36:16  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2022-10-10 05:36:16  0.00B 指定运行容器时使用的用户
USER root
                        
# 2022-10-10 05:36:16  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2022-10-10 05:36:16  0.00B 定义构建参数
ARG NB_GID=100
                        
# 2022-10-10 05:36:16  0.00B 定义构建参数
ARG NB_UID=1000
                        
# 2022-10-10 05:36:16  0.00B 定义构建参数
ARG NB_USER=jovyan
                        
# 2022-10-10 05:36:16  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2022-10-05 07:35:20  0.00B 
/bin/sh -c #(nop)  CMD ["bash"]
                        
# 2022-10-05 07:35:20  77.84MB 
/bin/sh -c #(nop) ADD file:6cd2e13356aa5339c1f2abd3c210a52f6ed74fae05cd61aa09f37b6a4764f65c in / 
                        
                    

镜像信息

{
    "Id": "sha256:38eeaf69a949ab6a495f6b7ecc9d5649e04d0370e7f5197b759dc47fa0c1df18",
    "RepoTags": [
        "jupyter/pyspark-notebook:python-3.9",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:python-3.9"
    ],
    "RepoDigests": [
        "jupyter/pyspark-notebook@sha256:9c40571da1b398808b882ddd0707dde630d1ce0c4b47015025b06907590e56e9",
        "swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook@sha256:5646453b7058bd011884f98138b253606c739e9745ea4d7afb6127ddbfce58ad"
    ],
    "Parent": "",
    "Comment": "buildkit.dockerfile.v0",
    "Created": "2022-10-09T22:01:22.680674994Z",
    "Container": "",
    "ContainerConfig": null,
    "DockerVersion": "",
    "Author": "",
    "Config": {
        "Hostname": "",
        "Domainname": "",
        "User": "1000",
        "AttachStdin": false,
        "AttachStdout": false,
        "AttachStderr": false,
        "ExposedPorts": {
            "4040/tcp": {},
            "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:/usr/local/spark/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",
            "XDG_CACHE_HOME=/home/jovyan/.cache/",
            "APACHE_SPARK_VERSION=3.3.0",
            "HADOOP_VERSION=3",
            "SPARK_HOME=/usr/local/spark",
            "SPARK_OPTS=--driver-java-options=-Xms1024M --driver-java-options=-Xmx4096M --driver-java-options=-Dlog4j.logLevel=info"
        ],
        "Cmd": [
            "start-notebook.sh"
        ],
        "Healthcheck": {
            "Test": [
                "CMD-SHELL",
                "wget -O- --no-verbose --tries=1 --no-check-certificate     http${GEN_CERT:+s}://localhost:8888${JUPYTERHUB_SERVICE_PREFIX:-/}api || exit 1"
            ],
            "Interval": 15000000000,
            "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"
        },
        "Shell": [
            "/bin/bash",
            "-o",
            "pipefail",
            "-c"
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