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[英]What docker image should I pull to be able to install pyodbc and pythonnet?
[英]Install pyodbc in docker image
我正在使用https://hub.docker.com/r/tiangolo/meinheld-gunicorn-flask/來托管燒瓶 api。
為了部署,我使用了一個 docker 映像,該映像托管在用於容器的 azure Web 應用服務上。 我正在嘗試將我的 Flask 應用程序連接到 Azure SQL 服務器。 但是我無法安裝正確的 odbc 驅動程序和 pyodbc。
我的碼頭文件:
FROM ubuntu:16.04
# apt-get and system utilities
RUN apt-get update && apt-get install -y \
curl apt-utils apt-transport-https debconf-utils gcc build-essential g++-5\
&& rm -rf /var/lib/apt/lists/*
# adding custom MS repository
RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -
RUN curl https://packages.microsoft.com/config/ubuntu/16.04/prod.list > /etc/apt/sources.list.d/mssql-release.list
# install SQL Server drivers
RUN apt-get update && ACCEPT_EULA=Y apt-get -y install msodbcsql17
RUN apt-get -y install unixodbc unixodbc-dev
# install necessary locales
RUN apt-get update && apt-get install -y locales \
&& echo "en_US.UTF-8 UTF-8" > /etc/locale.gen \
&& locale-gen
FROM tiangolo/meinheld-gunicorn:python3.7
ENV LISTEN_PORT=80
EXPOSE 80
COPY /app /app
# Uncomment to install additional requirements from a requirements.txt file
COPY requirements.txt /
RUN pip install --no-cache-dir -U pip
RUN pip install --no-cache-dir -r /requirements.txt
得到錯誤:
gcc -pthread -Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O3 -Wall -fPIC -DPYODBC_VERSION=4.0.25 -I/usr/local/include/python3.7m -c src/buffer.cpp -o build/temp.linux-x86_64-3.7/src/buffer.o -Wno-write-strings
2019-01-28T23:58:42.5006898Z In file included from src/buffer.cpp:12:0:
2019-01-28T23:58:42.5006979Z src/pyodbc.h:56:17: fatal error: sql.h: No such file or directory
2019-01-28T23:58:42.5007040Z #include <sql.h>
2019-01-28T23:58:42.5007105Z ^
2019-01-28T23:58:42.5007155Z compilation terminated.
2019-01-28T23:58:42.5007377Z error: command 'gcc' failed with exit status 1
我認為是因為 unixodbc 沒有正確安裝?
第二個FROM
行可能意味着稍后的操作是使用沒有編譯 pyodbc 所需的那些庫的圖像執行的。
FROM tiangolo/meinheld-gunicorn:python3.7
ENV LISTEN_PORT=80
EXPOSE 80
有關更多信息,請訪問 https://blog.alexellis.io/mutli-stage-docker-builds/
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