我在代码中使用Cloudera Hive ODBC驱动程序，并尝试将应用程序容器化。下面是我的Dockerfile，
FROM ubuntu:18.04
FROM continuumio/anaconda3
FROM node:10
RUN conda update -n base -c defaults conda
RUN conda create -n env python=3.7
RUN echo "conda activate env" > ~/.bashrc
ENV PATH /opt/conda/envs/env/bin:$PATH
RUN apt-get update && apt-get install -y
curl apt-utils apt-transport-https debconf-utils gcc build-essential
&& rm -rf /var/lib/apt/lists/*
RUN apt-get update && apt-get install -y
python-pip python-dev python-setuptools
--no-install-recommends
&& rm -rf /var/lib/apt/lists/*
RUN pip install --upgrade pip
RUN pip install pyyaml pandas numpy pymysql sqlalchemy schedule tornado
RUN apt-get update && apt-get install -y --no-install-recommends git unzip unixodbc unixodbc-dev
RUN conda install -c conda-forge turbodbc=3.1.1
RUN apt-get update && apt-get install -y gettext nano vim -y
RUN yarn install --modules-folder ./static
WORKDIR /app
COPY entry.sh /usr/local/bin/
COPY . /app/
ENV SSH_PASSWD "root:Docker!"
RUN apt-get update
&& apt-get install -y --no-install-recommends dialog
&& apt-get update
&& apt-get install -y --no-install-recommends openssh-server
&& echo "$SSH_PASSWD" | chpasswd
COPY sshd_config /etc/ssh/
COPY entry.sh /usr/local/bin/
RUN chmod u+x /usr/local/bin/entry.sh
EXPOSE 5000 2222 22 80 8000
CMD ["entry.sh"]
构建图像越来越成功，但我看到当我运行docker图像时，我看到下面的错误
Traceback (most recent call last):
File "app.py", line 14, in <module>
from abc_scheduler import scheduler_main
File "/app/abc_scheduler.py", line 5, in <module>
from methods import Methods
File "/app/methods.py", line 10, in <module>
from utils import *
File "/app/utils.py", line 2, in <module>
from turbodbc import connect, make_options
ModuleNotFoundError: No module named 'turbodbc'
我在Dockerfile中尝试过许多其他ODBC，但没有成功。任何帮助都会很棒。
根据@DavidMaze的建议，我成功地创建了一个Dockerfile&显示在下方
FROM ubuntu:latest
FROM continuumio/anaconda3
FROM node:10
RUN conda update -n base -c defaults conda
RUN conda create -n env python=3.7
RUN echo 'conda init bash' >/.bashrc
RUN echo "conda activate env" > ~/.bashrc
ENV PATH /opt/conda/envs/env/bin:$PATH
RUN apt-get update && apt-get install -y
curl apt-utils apt-transport-https debconf-utils gcc build-essential
&& rm -rf /var/lib/apt/lists/*
RUN apt-get update && apt-get install -y
python-pip python-dev python-setuptools
--no-install-recommends
&& rm -rf /var/lib/apt/lists/*
RUN pip install --upgrade pip
# ==================TURBODBC========================
RUN apt-get update
RUN apt-get upgrade -y
RUN apt-get dist-upgrade -y
RUN apt-get install -y alien # optional
COPY ClouderaHiveODBC-2.6.1.1001-1.x86_64.rpm /opt/cloudera/
RUN alien /opt/cloudera/ClouderaHiveODBC-2.6.1.1001-1.x86_64.rpm
RUN dpkg -i clouderahiveodbc_2.6.1.1001-2_amd64.deb
# ==================END=============================
RUN conda install --name env -c conda-forge turbodbc=4.1.1 tornado=6.0.4 pyyaml pymysql schedule sqlalchemy pyarrow numpy=1.19.3
pandas=1.1.4 pybind11 pyarrow
COPY odbc.ini /etc/
RUN apt-get update && apt-get install -y gettext nano vim -y
RUN yarn install --modules-folder ./static
WORKDIR /app
COPY . /app/
ENV SSH_PASSWD "root:Docker!"
RUN apt-get update
&& apt-get install -y --no-install-recommends dialog
&& apt-get update
&& apt-get install -y --no-install-recommends openssh-server
&& echo "$SSH_PASSWD" | chpasswd
COPY sshd_config /etc/ssh/
COPY entry.sh /usr/local/bin/
RUN chmod u+x /usr/local/bin/entry.sh
EXPOSE 9988 2222 22 80 8000
CMD ["entry.sh"]
在当前目录中保留ClouderaHiveODBC-2.6.1.1001-1.x86_64.rpm的副本同时保留以下文件：
odbc.ini-具有数据库信息
entry.sh-它是shell脚本，有一个命令-python app.py
ssh_config-没有任何扩展名的文件具有如下所示的信息
Port 2222
ListenAddress 0.0.0.0
LoginGraceTime 180
X11Forwarding yes
Ciphers aes128-cbc,3des-cbc,aes256-cbc
MACs hmac-sha1,hmac-sha1-96
StrictModes yes
SyslogFacility DAEMON
PrintMotd no
IgnoreRhosts no
#deprecated option
#RhostsAuthentication no
RhostsRSAAuthentication yes
RSAAuthentication no
PasswordAuthentication yes
PermitEmptyPasswords no
PermitRootLogin yes
我想通过展示一种无需conda即可工作的方法来扩展答案。换句话说，一个完整的pip最低可行的docker设置，用于安装涡轮数据库。我已经在官方的turbodbc repo中的Github评论中完整地记录了该解决方案。