Docker拉取命令

docker pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:spark-3.4.1
docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:spark-3.4.1  docker.io/jupyter/pyspark-notebook:spark-3.4.1

Containerd拉取命令

ctr images pull swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:spark-3.4.1
ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:spark-3.4.1  docker.io/jupyter/pyspark-notebook:spark-3.4.1

Shell快速替换命令

sed -i 's#jupyter/pyspark-notebook:spark-3.4.1#swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:spark-3.4.1#' 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:spark-3.4.1 && docker tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:spark-3.4.1  docker.io/jupyter/pyspark-notebook:spark-3.4.1'

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:spark-3.4.1 && ctr images tag  swr.cn-north-4.myhuaweicloud.com/ddn-k8s/docker.io/jupyter/pyspark-notebook:spark-3.4.1  docker.io/jupyter/pyspark-notebook:spark-3.4.1'

镜像构建历史

# 2023-09-11 11:56:28  0.00B 声明容器运行时监听的端口
EXPOSE map[4040/tcp:{}]
                        
# 2023-09-11 11:56:28  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-09-11 11:56:28  70.45MB 执行命令并创建新的镜像层
RUN |5 spark_version=3.4.1 hadoop_version=3 scala_version= spark_checksum=5a21295b4c3d1d3f8fc85375c711c7c23e3eeb3ec9ea91778f149d8d321e3905e2f44cf19c69a28df693cffd536f7316706c78932e7e148d224424150f18b2c5 openjdk_version=17 /bin/bash -o pipefail -c mamba install --yes     'pandas>=1.5.3,<2.0.0'     'pyarrow' &&     mamba clean --all -f -y &&     fix-permissions "${CONDA_DIR}" &&     fix-permissions "/home/${NB_USER}" # buildkit
                        
# 2023-09-11 11:55:50  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-09-11 11:55:50  662.00B 执行命令并创建新的镜像层
RUN |5 spark_version=3.4.1 hadoop_version=3 scala_version= spark_checksum=5a21295b4c3d1d3f8fc85375c711c7c23e3eeb3ec9ea91778f149d8d321e3905e2f44cf19c69a28df693cffd536f7316706c78932e7e148d224424150f18b2c5 openjdk_version=17 /bin/bash -o pipefail -c fix-permissions "/etc/ipython/" # buildkit
                        
# 2023-09-11 11:55:50  662.00B 复制新文件或目录到容器中
COPY ipython_kernel_config.py /etc/ipython/ # buildkit
                        
# 2023-09-11 11:55:50  60.00B 执行命令并创建新的镜像层
RUN |5 spark_version=3.4.1 hadoop_version=3 scala_version= spark_checksum=5a21295b4c3d1d3f8fc85375c711c7c23e3eeb3ec9ea91778f149d8d321e3905e2f44cf19c69a28df693cffd536f7316706c78932e7e148d224424150f18b2c5 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 &&   ln -s "${SPARK_HOME}/sbin/spark-config.sh" /usr/local/bin/before-notebook.d/spark-config.sh # buildkit
                        
# 2023-09-11 11:55:49  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
                        
# 2023-09-11 11:55:49  0.00B 设置环境变量 SPARK_HOME
ENV SPARK_HOME=/usr/local/spark
                        
# 2023-09-11 11:55:49  429.43MB 执行命令并创建新的镜像层
RUN |5 spark_version=3.4.1 hadoop_version=3 scala_version= spark_checksum=5a21295b4c3d1d3f8fc85375c711c7c23e3eeb3ec9ea91778f149d8d321e3905e2f44cf19c69a28df693cffd536f7316706c78932e7e148d224424150f18b2c5 openjdk_version=17 /bin/bash -o pipefail -c if [ -z "${scala_version}" ]; then     curl --progress-bar --location --output "spark.tgz"         "https://dlcdn.apache.org/spark/spark-${APACHE_SPARK_VERSION}/spark-${APACHE_SPARK_VERSION}-bin-hadoop${HADOOP_VERSION}.tgz";   else     curl --progress-bar --location --output "spark.tgz"         "https://dlcdn.apache.org/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
                        
# 2023-09-11 11:55:28  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-09-11 11:55:28  199.33MB 执行命令并创建新的镜像层
RUN |5 spark_version=3.4.1 hadoop_version=3 scala_version= spark_checksum=5a21295b4c3d1d3f8fc85375c711c7c23e3eeb3ec9ea91778f149d8d321e3905e2f44cf19c69a28df693cffd536f7316706c78932e7e148d224424150f18b2c5 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
                        
# 2023-09-11 11:55:28  0.00B 设置环境变量 APACHE_SPARK_VERSION HADOOP_VERSION
ENV APACHE_SPARK_VERSION=3.4.1 HADOOP_VERSION=3
                        
# 2023-09-11 11:55:28  0.00B 定义构建参数
ARG openjdk_version=17
                        
# 2023-09-11 11:55:28  0.00B 定义构建参数
ARG spark_checksum=5a21295b4c3d1d3f8fc85375c711c7c23e3eeb3ec9ea91778f149d8d321e3905e2f44cf19c69a28df693cffd536f7316706c78932e7e148d224424150f18b2c5
                        
# 2023-09-11 11:55:28  0.00B 定义构建参数
ARG scala_version
                        
# 2023-09-11 11:55:28  0.00B 定义构建参数
ARG hadoop_version=3
                        
# 2023-09-11 11:55:28  0.00B 定义构建参数
ARG spark_version=3.4.1
                        
# 2023-09-11 11:55:28  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-09-11 11:55:28  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-09-11 11:55:28  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-09-11 11:38:11  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-09-11 11:38:11  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-09-11 11:38:11  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
                        
# 2023-09-11 11:38:09  0.00B 设置环境变量 XDG_CACHE_HOME
ENV XDG_CACHE_HOME=/home/jovyan/.cache/
                        
# 2023-09-11 11:38:09  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
                        
# 2023-09-11 11:38:04  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-09-11 11:38:04  1.96GB 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
                        
# 2023-09-11 11:21:28  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
                        
# 2023-09-11 11:21:28  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-09-11 11:21:28  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
                        
# 2023-09-11 11:21:28  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-09-11 11:21:28  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-09-11 11:21:28  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-09-11 11:14:07  2.34KB 复制新文件或目录到容器中
COPY setup-scripts/ /opt/setup-scripts/ # buildkit
                        
# 2023-09-11 11:14:07  292.00B 复制新文件或目录到容器中
COPY Rprofile.site /opt/conda/lib/R/etc/ # buildkit
                        
# 2023-09-11 11:14:07  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-09-11 11:14:07  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
                        
# 2023-09-11 11:14:06  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
                        
# 2023-09-11 11:14:06  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-09-11 11:14:06  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-09-11 11:14:06  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-09-11 11:08:01  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-09-11 11:08:01  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-09-11 11:08:01  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'}
                        
# 2023-09-11 11:08:01  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
                        
# 2023-09-11 11:08:01  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-09-11 11:08:01  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
                        
# 2023-09-11 11:08:01  1.04KB 复制新文件或目录到容器中
COPY start-notebook.sh start-singleuser.sh /usr/local/bin/ # buildkit
                        
# 2023-09-11 11:08:01  0.00B 设置默认要执行的命令
CMD ["start-notebook.sh"]
                        
# 2023-09-11 11:08:01  0.00B 声明容器运行时监听的端口
EXPOSE map[8888/tcp:{}]
                        
# 2023-09-11 11:08:01  0.00B 设置环境变量 JUPYTER_PORT
ENV JUPYTER_PORT=8888
                        
# 2023-09-11 11:08:01  515.54MB 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
                        
# 2023-09-11 11:06:48  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-09-11 11:06:48  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-09-11 11:06:48  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
                        
# 2023-09-11 11:06:48  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-09-11 11:06:48  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-09-11 11:06:48  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-09-11 11:04:27  0.00B 设置工作目录为/home/jovyan
WORKDIR /home/jovyan
                        
# 2023-09-11 11:04:27  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-09-11 11:04:27  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
                        
# 2023-09-11 11:04:26  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-09-11 11:04:26  12.96KB 复制新文件或目录到容器中
COPY run-hooks.sh start.sh /usr/local/bin/ # buildkit
                        
# 2023-09-11 11:04:26  0.00B 设置默认要执行的命令
CMD ["start.sh"]
                        
# 2023-09-11 11:04:26  0.00B 配置容器启动时运行的命令
ENTRYPOINT ["tini" "-g" "--"]
                        
# 2023-09-11 11:04:26  288.93MB 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
                        
# 2023-09-11 11:03:28  0.00B 设置工作目录为/tmp
WORKDIR /tmp
                        
# 2023-09-11 11:03:28  163.00B 复制新文件或目录到容器中
COPY initial-condarc /opt/conda/.condarc # buildkit
                        
# 2023-09-11 11:03:28  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
                        
# 2023-09-11 11:03:27  0.00B 定义构建参数
ARG PYTHON_VERSION=3.11
                        
# 2023-09-11 11:03:27  0.00B 指定运行容器时使用的用户
USER 1000
                        
# 2023-09-11 11:03:27  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
                        
# 2023-09-11 11:03:27  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
                        
# 2023-09-11 11:03:27  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
                        
# 2023-09-11 11:03:26  1.04KB 复制新文件或目录到容器中
COPY fix-permissions /usr/local/bin/fix-permissions # buildkit
                        
# 2023-09-11 11:03:26  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
                        
# 2023-09-11 11:03:26  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
                        
# 2023-09-11 11:03:26  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
                        
# 2023-09-11 11:03:26  0.00B 设置环境变量 DEBIAN_FRONTEND
ENV DEBIAN_FRONTEND=noninteractive
                        
# 2023-09-11 11:03:26  0.00B 指定运行容器时使用的用户
USER root
                        
# 2023-09-11 11:03:26  0.00B 
SHELL [/bin/bash -o pipefail -c]
                        
# 2023-09-11 11:03:26  0.00B 定义构建参数
ARG NB_GID=100
                        
# 2023-09-11 11:03:26  0.00B 定义构建参数
ARG NB_UID=1000
                        
# 2023-09-11 11:03:26  0.00B 定义构建参数
ARG NB_USER=jovyan
                        
# 2023-09-11 11:03:26  0.00B 添加元数据标签
LABEL maintainer=Jupyter Project <jupyter@googlegroups.com>
                        
# 2023-08-16 14:01:54  0.00B 
/bin/sh -c #(nop)  CMD ["/bin/bash"]
                        
# 2023-08-16 14:01:54  77.82MB 
/bin/sh -c #(nop) ADD file:aa9b51e9f0067860cebbc9930374452d1384ec3c59badb5e4733130eedc90329 in / 
                        
# 2023-08-16 14:01:52  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.version=22.04
                        
# 2023-08-16 14:01:52  0.00B 
/bin/sh -c #(nop)  LABEL org.opencontainers.image.ref.name=ubuntu
                        
# 2023-08-16 14:01:52  0.00B 
/bin/sh -c #(nop)  ARG LAUNCHPAD_BUILD_ARCH
                        
# 2023-08-16 14:01:52  0.00B 
/bin/sh -c #(nop)  ARG RELEASE
                        
                    

镜像信息

{
    "Id": "sha256:ae30fd5e94fd278b55b650510365dd82d0e3a4289754ce9f39d8049e07bfc24f",
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