JupyterHub Oracle InstantClient 和 cx_Oracle 安装

Question

我使用 Docker 容器安装了 JupyterHub。

1. 我创建了一个新的 Anaconda 环境“cx_oracle_env”，并在终端中安装了 package cx_Oracle：

    # Creates a new Anaconda Environment called "cx_oracle_env" using Python 3.7 in silent mode conda create -n cx_oracle_env python=3.7 -y # >>>> Returns no warnings / errors # Activates the Anaconda Environment "cx_oracle_env" conda activate cx_oracle_env # >>>> Returns no warnings / errors # Mamba is a reimplementation of the conda package manager in C++. # - parallel downloading of repository data and package files using multi-threading # - libsolv for much faster dependency solving, a state of the art library used in the # RPM package manager of Red Hat, Fedora and OpenSUSE # - core parts of mamba are implemented in C++ for maximum efficiency # At the same time, mamba utilize the same command line parser, package installation and # deinstallation code and transaction verification routines as conda to stay as compatible as # possible. # conda install mamba -n base -c conda-forge -y # >>>> Returns no warnings / errors # Installs ipykernel in currently active Anaconda Environment mamba install ipykernel -y # >>>> Returns no warnings / errors # Installs cx_Oracle python -m pip install cx_Oracle --upgrade # >>>> Returns no warnings / errors # Binds ipykernel "cx_oracle_env" to Anaconda Environment "cx_oracle_env" python -m ipykernel install --user --name cx_oracle_env --display-name="cx_oracle_env" # >>>> Returns no warnings / errors

2. I downloaded the ORACLE InstantClient instantclient-basic-linux.x64-21.1.0.0.0.zip from https://www.oracle.com/uk/database/technologies/instant-client/linux-x86-64-downloads.html到我的本地计算机，并将 zip 文件上传到我的 JupyterHub 工作目录。

3. 我通过在 Launcher 面板的 Notebook 部分中选择“cx_oracle_env”打开了一个新的 Jupyter Notebook。

4. 在 Jupyter Notebook 中，我使用以下命令解压了文件 instantclient-basic-linux.x64-21.1.0.0.0.zip：

    from shutil import unpack_archive # Decompress ZIP-file to working directory (/home/jovyan/instantclient_21_1/) unpack_archive('instantclient-basic-linux.x64-21.1.0.0.0.zip', '') >>>> Returns no warnings / errors

5. 检查路径是否存在：

    import os.path from os import path path.exists("/home/jovyan/instantclient_21_1") # >>>> Returns True

6. 设置 LD_LIBRARY_PATH：

    import os os.environ["LD_LIBRARY_PATH"] = "/home/jovyan/instantclient_21_1" !echo $LD_LIBRARY_PATH # >>>> Returns /home/jovyan/instantclient_21_1

7. 设置 ORACLE_HOME：

    os.environ["ORACLE_HOME"] = "/home/jovyan/instantclient_21_1" !echo $ORACLE_HOME # >>>> Returns /home/jovyan/instantclient_21_1

8. 安装 libaio：

    !mamba install libaio -y # >>>> Returns no warnings / errors

9. 导入 cx_Oracle：

    import cx_Oracle # >>>> Returns no warnings / errors

10. 调用 init_oracle_client 后，出现以下错误：

     cx_Oracle.init_oracle_client(lib_dir=r"/home/jovyan/instantclient_21_1")

我错过了什么？

PS：不幸的是，我在 JupyterHub 终端中没有 sudo 权限...

Answer 1

不幸的是，环境变量LD_LIBRARY_PATH必须在启动进程之前设置，因此在 Python 脚本中更改它是行不通的。

此外，由于当前构建即时客户端的方式受到限制，如果没有事先在进程之外设置LD_LIBRARY_PATH ，则无法在 Linux 上使用cx_Oracle.init_oracle_client() 。 希望这个限制很快就会被取消，但与此同时，这就是你必须做的。 您还可以使用ld.so.conf配置使安装适用于您的整个机器，在这种情况下，不再需要设置LD_LIBRARY_PATH 。

Answer 2

I solved the problem finally by creating a new JupyterHub environment by customizing the Dockerfile from https://github.com/jupyter/docker-stacks/blob/master/minimal-notebook/Dockerfile , and embedded it as new "Minimal Oracle environment"在 JupyterHub 中。

自定义 Dockerfile 有以下内容（我只添加了“cx_Oracle 安装开始/结束”部分）：

# Copyright (c) Jupyter Development Team.
# Distributed under the terms of the Modified BSD License.
ARG BASE_CONTAINER=jupyter/base-notebook
FROM $BASE_CONTAINER

LABEL maintainer="Jupyter Project <jupyter@googlegroups.com>"

USER root

# Install all OS dependencies for fully functional notebook server
RUN apt-get update && apt-get install -yq --no-install-recommends \
    build-essential \
    vim-tiny \
    git \
    inkscape \
    libsm6 \
    libxext-dev \
    libxrender1 \
    lmodern \
    netcat \
    # ---- nbconvert dependencies ----
    texlive-xetex \
    texlive-fonts-recommended \
    texlive-plain-generic \
    # ----
    tzdata \
    unzip \
    nano-tiny \
    && apt-get clean && rm -rf /var/lib/apt/lists/*

# cx_Oracle installation begin
WORKDIR /opt/oracle
RUN apt-get update && apt-get install -y libaio1 wget
RUN wget https://download.oracle.com/otn_software/linux/instantclient/instantclient-basiclite-linuxx64.zip && \
    unzip instantclient-basiclite-linuxx64.zip && rm -f instantclient-basiclite-linuxx64.zip && \
    cd /opt/oracle/instantclient* && rm -f *jdbc* *occi* *mysql* *README *jar uidrvci genezi adrci && \
    echo /opt/oracle/instantclient* > /etc/ld.so.conf.d/oracle-instantclient.conf && ldconfig
RUN python -m pip install cx_Oracle
WORKDIR $HOME
# cx_Oracle installation end

# Create alternative for nano -> nano-tiny
RUN update-alternatives --install /usr/bin/nano nano /bin/nano-tiny 10

# Switch back to jovyan to avoid accidental container runs as root
USER $NB_UID

After building the custom Dockerfile locally, and embedding it into the Kubernetes Cluster as "Minimal Oracle environment", I started a new Jupyter Notebook in the newly created JupyterHub environment, and tested the ORACLE connect as follows: