I have RStudio in docker, and am trying to save a plotly image using orca. I installed orca following Docker and Plotly.
I build and start successfully, and to check if I can save an image I run:
library(plotly)
library(processx)
fig <- plot_ly(z = ~volcano) %>% add_surface()
orca(fig,"t.png")
Whereupon I receive the following error:
Error in `processx::run("orca", "-h")`:
! System command 'orca' failed
---
Exit status: 127
Stderr: <empty>
---
Type .Last.error to see the more details.
Warning message:
'orca' is deprecated.
Use 'kaleido' instead.
See help("Deprecated")
> .Last.error
<system_command_status_error/rlib_error_3_0/rlib_error/error>
Error in `processx::run("orca", "-h")`:
! System command 'orca' failed
---
Exit status: 127
Stderr: <empty>
---
Backtrace:
1. plotly::orca(fig, "t.png")
2. plotly:::orca_available()
3. plotly:::correct_orca()
4. processx::run("orca", "-h")
5. processx:::throw(new_process_error(res, call = sys.call(), echo = echo, …
>
Is there another way to install orca, or save a plotly image in RStudio running in docker?
My full dockerfile:
FROM rocker/verse
ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && apt-get install -y --no-install-recommends build-essential libpq-dev python3.9 python3-pip python3-setuptools python3-dev
RUN pip3 install --upgrade pip
ADD . ./home/rstudio
ADD requirements.txt .
ADD install_packages.r .
# Miniconda and dependencies
RUN cd /tmp/ && \
wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
bash Miniconda3-latest-Linux-x86_64.sh -b -p $HOME/miniconda3 && \
/root/miniconda3/condabin/conda install -y python=3.7
ENV PATH=$PATH:/root/miniconda3/bin
#RUN npm install phantomjs-prebuilt --phantomjs_cdnurl=http://cnpmjs.org/downloads
# installing python libraries
RUN pip3 install -r requirements.txt
# installing r libraries
RUN Rscript install_packages.r
RUN if ! [[ "16.04 18.04 20.04 21.04 21.10" == *"$(lsb_release -rs)"* ]]; \
then \
echo "Ubuntu $(lsb_release -rs) is not currently supported."; \
exit; \
fi
RUN sudo su
RUN apt-get update && apt-get install -y gnupg2
RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -
RUN curl https://packages.microsoft.com/config/ubuntu/$(lsb_release -rs)/prod.list > /etc/apt/sources.list.d/mssql-release.list
RUN exit
RUN sudo apt-get update
RUN sudo ACCEPT_EULA=Y apt-get install -y msodbcsql17
RUN chmod -R 777 /home/rstudio
# Download orca AppImage, extract it, and make it executable under xvfb
RUN apt-get install --yes xvfb libgconf-2-4
RUN wget https://github.com/plotly/orca/releases/download/v1.1.1/orca-1.1.1-x86_64.AppImage -P /home
RUN chmod 777 /home/orca-1.1.1-x86_64.AppImage
# To avoid the need for FUSE, extract the AppImage into a directory (name squashfs-root by default)
RUN cd /home && /home/orca-1.1.1-x86_64.AppImage --appimage-extract
RUN printf '#!/bin/bash \nxvfb-run --auto-servernum --server-args "-screen 0 640x480x24" /home/squashfs-root/app/orca "$#"' > /usr/bin/orca
RUN chmod 777 /usr/bin/orca
RUN chmod -R 777 /home/squashfs-root/
I am trying to run a nextflow pipeline which uses an older version of nextflow (21.04.3) and java version 8. Since I have to use this pipeline on a remote server, therefore I can only use singularity.
As this nextflow pipeline also uses singularity pull calls therefore I need the singularity installed inside the docker image as well. Then, I can convert this image docker image to a singularity image and then I can move it to the remote server.
I am trying to install singularity inside dockerfile but I am getting errors,
This is the dockerfile that I am using,
FROM python:3.8.9-slim
LABEL authors="phil.ewels#scilifelab.se,erik.danielsson#scilifelab.se" \
description="Docker image containing requirements for the nfcore tools"
# Do not pick up python packages from $HOME
ENV PYTHONNUSERSITE=1
# Update pip to latest version
RUN python -m pip install --upgrade pip
# Install dependencies
COPY requirements.txt requirements.txt
RUN python -m pip install -r requirements.txt
# Install Nextflow dependencies
RUN apt-get update \
&& apt-get upgrade -y \
&& apt-get install -y git \
&& apt-get install -y wget
# Create man dir required for Java installation
# and install Java
RUN mkdir -p /usr/share/man/man1 \
&& apt-get install -y openjdk-11-jre \
&& apt-get clean -y && rm -rf /var/lib/apt/lists/*
# Install Singularity
RUN wget -O- http://neuro.debian.net/lists/xenial.us-ca.full | tee /etc/apt/sources.list.d/neurodebian.sources.list && \ apt-key adv --recv-keys --keyserver hkp://pool.sks-keyservers.net:80 0xA5D32F012649A5A9 && \ apt-get update
RUN apt-get install -y singularity-container
# Setup ARG for NXF_VER ENV
ARG NXF_VER=""
ENV NXF_VER ${NXF_VER}
# Install Nextflow
RUN wget https://github.com/nextflow- io/nextflow/releases/download/v21.04.3/nextflow | bash \
&& mv nextflow /usr/local/bin \
&& chmod a+rx /usr/local/bin/nextflow
# Add the nf-core source files to the image
COPY . /usr/src/nf_core
WORKDIR /usr/src/nf_core
# Install nf-core
RUN python -m pip install .
# Set up entrypoint and cmd for easy docker usage
CMD [ "." ]
These are the errors I am getting
Step 9/17 : RUN wget -O- http://neuro.debian.net/lists/xenial.us-ca.full | tee
/etc/apt/sources.list.d/neurodebian.sources.list && \ apt-key adv --recv-keys --
keyserver hkp://pool.sks-keyservers.net:80 0xA5D32F012649A5A9 && \ apt-get update
---> Running in afc3dcbbd1ee
--2022-03-17 17:40:19-- http://neuro.debian.net/lists/xenial.us-ca.full
Resolving neuro.debian.net (neuro.debian.net)... 129.170.233.11
Connecting to neuro.debian.net (neuro.debian.net)|129.170.233.11|:80... connected.
HTTP request sent, awaiting response... 200 OK
Length: 262
Saving to: ‘STDOUT’
0K 100% 18.4M=0s
deb http://neurodeb.pirsquared.org data main contrib non-free
#deb-src http://neurodeb.pirsquared.org data main contrib non-free
deb http://neurodeb.pirsquared.org xenial main contrib non-free
#deb-src http://neurodeb.pirsquared.org xenial main contrib non-free
2022-03-17 17:40:19 (18.4 MB/s) - written to stdout [262/262]
/bin/sh: 1: apt-key: not found
The command '/bin/sh -c wget -O- http://neuro.debian.net/lists/xenial.us-ca.full | tee /etc/apt/sources.list.d/neurodebian.sources.list && \ apt-key adv --recv-keys --keyserver hkp://pool.sks-keyservers.net:80 0xA5D32F012649A5A9 && \ apt-get update'
returned a non-zero code: 127
I there a way to install singularity using a dockerfile ?
Thanks
I made some changes in the dockerfile based on the method to install singularity in linux given here.
The complete dockerfile with which I was able to run successfully nextflow, java and singularity within singularity is given below,
FROM python:3.8.9-slim
LABEL
authors="phil.ewels#scilifelab.se,erik.danielsson#scilifelab.se" \
description="Docker image containing requirements for the nfcore tools"
# Do not pick up python packages from $HOME
ENV PYTHONNUSERSITE=1
# Update pip to latest version
RUN python -m pip install --upgrade pip
# Install dependencies
COPY requirements.txt requirements.txt
RUN python -m pip install -r requirements.txt
# Install Nextflow dependencies
RUN apt-get update \
&& apt-get upgrade -y \
&& apt-get install -y git \
&& apt-get install -y wget
# Create man dir required for Java installation
# and install Java
RUN mkdir -p /usr/share/man/man1 \
&& apt-get install -y openjdk-11-jre \
&& apt-get clean -y && rm -rf /var/lib/apt/lists/*
# Install Singularity
RUN apt-get update && apt-get install -y \
build-essential \
libssl-dev \
uuid-dev \
libgpgme11-dev \
squashfs-tools \
libseccomp-dev \
wget \
pkg-config \
procps
# Download Go source version 1.16.3, install them and modify the PATH
ENV VERSION=1.16.3
ENV OS=linux
ENV ARCH=amd64
RUN wget https://dl.google.com/go/go$VERSION.$OS-$ARCH.tar.gz && \
tar -C /usr/local -xzvf go$VERSION.$OS-$ARCH.tar.gz && \
rm go$VERSION.$OS-$ARCH.tar.gz && \
echo 'export PATH=$PATH:/usr/local/go/bin' | tee -a /etc/profile
# Download Singularity from version 3.7.3 (security version)
ENV VERSION=3.7.3
RUN wget https://github.com/sylabs/singularity/releases/download/v${VERSION}/singularity-${VERSION}.tar.gz && \
tar -xzf singularity-${VERSION}.tar.gz
# Compile Singularity sources and install it
RUN export PATH=$PATH:/usr/local/go/bin && \
cd singularity && \
./mconfig --without-suid && \
make -C ./builddir && \
make -C ./builddir install
# Setup ARG for NXF_VER ENV
ARG NXF_VER=""
ENV NXF_VER ${NXF_VER}
# Install Nextflow
RUN wget https://github.com/nextflow-io/nextflow/releases/download/v21.04.3/nextflow | bash \
&& mv nextflow /usr/local/bin \
&& chmod a+rx /usr/local/bin/nextflow
# Add the nf-core source files to the image
COPY . /usr/src/nf_core
WORKDIR /usr/src/nf_core
# Install nf-core
RUN python -m pip install .
# Set up entrypoint and cmd for easy docker usage
CMD [ "." ]
The file named requirements.txt used in the above dockerfile is given below,
click
GitPython
jinja2
jsonschema
packaging
prompt_toolkit>=3.0.3
pyyaml
pytest-workflow
questionary>=1.8.0
requests_cache
requests
rich>=10.0.0
tabulate
I am trying to convert a bash script to a Dockerfile since we are going the containerization route with AWS Batch
Basically I install CPLEX (an optimization library) and Anaconda, install some related packages, check if my environment it good to go, and then kick off a shell script to run the batch job.
Here is a snippet of my Dockerfile:
FROM amazonlinux:latest
# Download packages for container
RUN yum update -y
RUN yum -y install which unzip aws-cli \
RUN yum install -y tar.x86_64
RUN yum install gzip -y
RUN yum install ncompress -y
RUN yum -y install wget
RUN yum install -y nano
# Set working directory
WORKDIR /setup
#: Copy CPLEX installer binary and installation script.
COPY cplex_odee1210.linux-x86-64.bin /setup/
COPY cplex_installer_input.sh /setup/
#: Install CPLEX and update .bashrc
RUN chmod +x /setup/cplex_odee1210.linux-x86-64.bin
RUN chmod +x cplex_installer_input.sh
RUN ./cplex_installer_input.sh | bash cplex_odee1210.linux-x86-64.bin
RUN echo 'export PATH=$PATH:/opt/ibm/ILOG/CPLEX_Optimizer1210/cplex/bin/x86-64_linux' >>/root/.bashrc \
&& /bin/bash -c "source ~/.bashrc"
ENV PATH $PATH:/opt/ibm/ILOG/CPLEX_Optimizer1210/cplex/bin/x86-64_linux
#: Download Anaconda
COPY Anaconda3-2019.10-Linux-x86_64.sh /setup/
RUN bash Anaconda3-2019.10-Linux-x86_64.sh -b -p /home/ec2-user/anaconda3
RUN echo 'export PATH=$PATH:/home/ec2-user/anaconda3/bin' >>/root/.bashrc \
&& /bin/bash -c "source ~/.bashrc"
ENV PATH $PATH:/home/ec2-user/anaconda3/bin
RUN conda install pandas -y \
&& conda install numpy -y \
&& conda install ujson -y \
&& pip install docplex \
&& pip install boto3 \
&& pip install grpcio \
&& pip install grpcio-tools
RUN python3 -m docplex.mp.environment
ADD fetch_and_run.sh /usr/local/bin/fetch_and_run.sh
ENTRYPOINT ["/usr/local/bin/fetch_and_run.sh"]
From there, I kick off a bash script
#!/bin/bash
date
echo "Args: $#"
env
echo "script_path: $1"
echo "script_name: $2"
echo "path_prefix: $3"
echo "jobID: $AWS_BATCH_JOB_ID"
echo "jobQueue: $AWS_BATCH_JQ_NAME"
echo "computeEnvironment: $AWS_BATCH_CE_NAME"
echo "current directory: $(pwd)"
mkdir /tmp/scripts/
aws s3 cp $1 /tmp/scripts/$2
python3 /tmp/scripts/${#:2}
But for some reason, I keep getting
/tmp/tmp.hQlWYBEFs/batch-file-temp: line 20: python3: command not found
Do I need to change some PATH variables? Why isn't Docker picking up my Python 3 version?
The image needs to have python3 installed. Building images works off of files and programs that exist in the container. The python3 you have installed on your own system is not available.
I've got a small Dockerfile where I'm trying to get to a point where I can RUN pip3 bdist_wheel successfully. That is, without getting this error:
unknown command "bdist_wheel" - maybe you meant "wheel"
I've tried installing everything mentioned in this answer, but no luck.
Minimal repro Dockerfile and docker build output:
FROM ubuntu:18.04
RUN apt-get update \
&& apt-get install -qyy -o APT::Install-Recommends=false -o APT::Install-Suggests=false \
file \
gcc \
python3 \
python3-dev \
python3-pip \
python3-setuptools \
python3-venv \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
RUN pip3 install --cache-dir=/tmp/pipcache --upgrade pip && rm -rf /tmp/pipcache
RUN pip install --cache-dir=/tmp/pipcache poetry && rm -rf /tmp/pipcache
WORKDIR /src/app
RUN poetry new .
RUN poetry add gevent
The most relevant part of the output is of course
error: invalid command 'bdist_wheel'
First, some notes to the error: invalid command 'bdist_wheel' output. When running pip install <pkgname>, pip will try to find a prebuilt wheel that matches your target platform. If it doesn't find one, it tries to build a wheel itself -- the source dist is downloaded and pip wheel is run to produce the wheel. On success, the built wheel is installed. On any failure (the wheel package not installed, python setup.py bdist_wheel failed or whatever), pip will fallback to the second option, which is the distutils installation method: running python setup.py install over the unpacked source dist. This is what you can observe in the log you posted:
Failed building wheel for gevent
...
Running setup.py install for gevent: started
Only when the setup.py install also fails, the installation is failed unconditionally. So while pip can't indeed build the wheel b/c the wheel package is not installed, it is not an issue for the failing installation. You can fix this by adding wheel to development packages:
RUN poetry add --dev wheel
RUN poetry add gevent
but this is an optional thing and won't affect the build result.
Now, to the real error:
Running '(cd "/tmp/pip-build-ek9pxyw2/gevent/deps/libev" && sh ./configure -C > configure-output.txt )' in /tmp/pip-build-ek9pxyw2/gevent
config.status: error: in `/tmp/pip-build-ek9pxyw2/gevent/deps/libev':
config.status: error: Something went wrong bootstrapping makefile fragments
for automatic dependency tracking. Try re-running configure with the
'--disable-dependency-tracking' option to at least be able to build
the package (albeit without support for automatic dependency tracking).
See `config.log' for more details
Something went wrong bootstrapping makefile fragments usually means that you're missing make. Install it in addition to the rest:
RUN apt install -y make
After doing that and rerunning the build, I've got the last error
error: src/gevent/libev/corecext.c: No such file or directory
This is because gevent needs Cython for generating the C extension sources. Install it before installing gevent:
RUN poetry add --dev cython
RUN poetry add gevent
The complete Dockerfile for reference, changes in bold:
FROM ubuntu:18.04
RUN apt-get update \
&& apt-get install -qyy -o APT::Install-Recommends=false -o APT::Install-Suggests=false \
file \
gcc \
python3 \
python3-dev \
python3-pip \
python3-setuptools \
python3-venv \
&& apt-get clean \
&& rm -rf /var/lib/apt/lists/*
RUN pip3 install --cache-dir=/tmp/pipcache --upgrade pip && rm -rf /tmp/pipcache
RUN pip install --cache-dir=/tmp/pipcache poetry && rm -rf /tmp/pipcache
WORKDIR /src/app
RUN poetry new .
RUN apt update
RUN apt install -y make
RUN poetry add --dev wheel cython
RUN poetry add gevent
Neither wheel nor cython are required to actually run gevent, so they can be safely uninstalled afterwards to reduce the image size.
I'm trying to connect a pyodbc python script running in a docker container to login to a MSSQL database I have tried all sorts of docker files, but not been able to make the connection (fails when bulding the docker or when python tries to connect), Does anyone have a working dockerfile, using pyodbc:
Dockerfile:
# Use an official Python runtime as a parent image
FROM python:2.7-slim
# Set the working directory to /app
WORKDIR /app
# Copy the current directory contents into the container at /app
ADD . /app
# Install any needed packages specified in requirements.txt
RUN pip install -r requirements.txt
# Run app.py when the container launches
CMD ["python", "App.py"]
requirements.TXT
pyodbc
App.Py
import pyodbc
connection = pyodbc.connect('Driver={SQL Server};'
'Server=xxxx;'
'Database=xxx;'
'UID=xxxx;'
'PWD=xxxx')
cursor = connection.cursor()
cursor.execute("SELECT [Id],[Name] FROM [DCMM].[config].[Models]")
for row in cursor.fetchall():
print(row.Name)
connection.close()
Bulding the container
docker build -t sqltest .
Output:
Sending build context to Docker daemon 4.096kB
Step 1/5 : FROM python:2.7-slim
---> 426d65ab9a72
Step 2/5 : WORKDIR /app
---> Using cache
---> 725f35122880
Step 3/5 : ADD . /app
---> 3feb8b7744f7
Removing intermediate container 4214091a111a
Step 4/5 : RUN pip install -r requirements.txt
---> Running in 27aa4dcfe738
Collecting pyodbc (from -r requirements.txt (line 1))
Downloading pyodbc-4.0.17.tar.gz (196kB)
Building wheels for collected packages: pyodbc
Running setup.py bdist_wheel for pyodbc: started
Running setup.py bdist_wheel for pyodbc: finished with status 'error'
Failed building wheel for pyodbc
Complete output from command /usr/local/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-EfWsmy/pyodbc/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" bdist_wheel -d /tmp/tmpa3S13tpip-wheel- --python-tag cp27:
running bdist_wheel
running build
running build_ext
building 'pyodbc' extension
creating build
creating build/temp.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/src
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DPYODBC_VERSION=4.0.17 -DSQL_WCHART_CONVERT=1 -I/usr/local/include/python2.7 -c src/cursor.cpp -o build/temp.linux-x86_64-2.7/src/cursor.o -Wno-write-strings
unable to execute 'gcc': No such file or directory
error: command 'gcc' failed with exit status 1
----------------------------------------
Running setup.py clean for pyodbc
Failed to build pyodbc
Installing collected packages: pyodbc
Running setup.py install for pyodbc: started
Running setup.py install for pyodbc: finished with status 'error'
Complete output from command /usr/local/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-EfWsmy/pyodbc/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-BV4sRM-record/install-record.txt --single-version-externally-managed --compile:
running install
running build
running build_ext
building 'pyodbc' extension
creating build
creating build/temp.linux-x86_64-2.7
creating build/temp.linux-x86_64-2.7/src
gcc -pthread -fno-strict-aliasing -g -O2 -DNDEBUG -g -fwrapv -O3 -Wall -Wstrict-prototypes -fPIC -DPYODBC_VERSION=4.0.17 -DSQL_WCHART_CONVERT=1 -I/usr/local/include/python2.7 -c src/cursor.cpp -o build/temp.linux-x86_64-2.7/src/cursor.o -Wno-write-strings
unable to execute 'gcc': No such file or directory
error: command 'gcc' failed with exit status 1
----------------------------------------
Command "/usr/local/bin/python -u -c "import setuptools, tokenize;__file__='/tmp/pip-build-EfWsmy/pyodbc/setup.py';f=getattr(tokenize, 'open', open)(__file__);code=f.read().replace('\r\n', '\n');f.close();exec(compile(code, __file__, 'exec'))" install --record /tmp/pip-BV4sRM-record/install-record.txt --single-version-externally-managed --compile" failed with error code 1 in /tmp/pip-build-EfWsmy/pyodbc/
The command '/bin/sh -c pip install -r requirements.txt' returned a non-zero code: 1
Need to Run:
sudo apt-get install gcc
need to add a odbcinst.ini file containing:
[FreeTDS]Description=FreeTDS Driver Driver=/usr/lib/x86_64-linux-gnu/odbc/libtdsodbc.so Setup=/usr/lib/x86_64-linux-gnu/odbc/libtdsS.so
need to add folowing to docker file
ADD odbcinst.ini /etc/odbcinst.ini
RUN apt-get update
RUN apt-get install -y tdsodbc unixodbc-dev
RUN apt install unixodbc-bin -y
RUN apt-get clean -y
need to change connection in .py to
connection = pyodbc.connect('Driver={FreeTDS};'
'Server=xxxxx;'
'Database=DCMM;'
'UID=xxxxx;'
'PWD=xxxxx')
Now the container compiles, and gets data from SQL server
Running through this recently I found it was necessary to additionally include the following line (note that it did not build without this step):
RUN apt-get install --reinstall build-essential -y
The full Dockerfile looks as follows:
# parent image
FROM python:3.7-slim
# install FreeTDS and dependencies
RUN apt-get update \
&& apt-get install unixodbc -y \
&& apt-get install unixodbc-dev -y \
&& apt-get install freetds-dev -y \
&& apt-get install freetds-bin -y \
&& apt-get install tdsodbc -y \
&& apt-get install --reinstall build-essential -y
# populate "ocbcinst.ini"
RUN echo "[FreeTDS]\n\
Description = FreeTDS unixODBC Driver\n\
Driver = /usr/lib/x86_64-linux-gnu/odbc/libtdsodbc.so\n\
Setup = /usr/lib/x86_64-linux-gnu/odbc/libtdsS.so" >> /etc/odbcinst.ini
# install pyodbc (and, optionally, sqlalchemy)
RUN pip install --trusted-host pypi.python.org pyodbc==4.0.26 sqlalchemy==1.3.5
# run app.py upon container launch
CMD ["python", "app.py"]
Here's one way to then actually establish the connection inside app.py, via sqlalchemy (and assuming port 1433):
import sqlalchemy as sa
args = (username, password, server, database)
connstr = "mssql+pyodbc://{}:{}#{}/{}?driver=FreeTDS&port=1433&odbc_options='TDS_Version=8.0'"
engine = sa.create_engine(connstr.format(*args))
Based on Kåre Rasmussen's answer, here's a complete dockerfile for further use.
Make sure to edit the last two lines according to your architecture! They should reflect the actual paths to libtdsodbc.so and libtdsS.so.
If you're not sure about the paths to libtdsodbc.so and libtdsS.so, try dpkg --search libtdsodbc.so and dpkg --search libtdsS.so.
FROM python:3
#Install FreeTDS and dependencies for PyODBC
RUN apt-get update && apt-get install -y tdsodbc unixodbc-dev \
&& apt install unixodbc-bin -y \
&& apt-get clean -y
RUN echo "[FreeTDS]\n\
Description = FreeTDS unixODBC Driver\n\
Driver = /usr/lib/arm-linux-gnueabi/odbc/libtdsodbc.so\n\
Setup = /usr/lib/arm-linux-gnueabi/odbc/libtdsS.so" >> /etc/odbcinst.ini
Afterwards, install PyODBC, COPY your app and run it.
I was unable to use all of the above resolutions, I was keeping al kind of errors relating to the pyodbc package, in particular:
ImportError: libodbc.so.2: cannot open shared object file: No such file or directory.
I ended up with another resolution which defines the ODBC SQL Server Driver specifically for an Ubuntu 18.04 Docker image, in this case ODBC Driver 17 for SQL Server. In my specific use case I needed to make the connection to my MySQL database server on Azure via Flask SQLAlchemy, but the latter is not a necessity for the Docker configuration.
Dockerfile, with most important part adding the Microsoft repository and installing msodbcsql17 and unixodbc-dev:
# Ubuntu 18.04 base with Python runtime and pyodbc to connect to SQL Server
FROM ubuntu:18.04
WORKDIR /app
# 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 Microsoft repository
RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -
RUN curl https://packages.microsoft.com/config/ubuntu/18.04/prod.list > /etc/apt/sources.list.d/mssql-release.list
# install SQL Server drivers
RUN apt-get update && ACCEPT_EULA=Y apt-get install -y msodbcsql17 unixodbc-dev
# install SQL Server tools
RUN apt-get update && ACCEPT_EULA=Y apt-get install -y mssql-tools
RUN echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bashrc
RUN /bin/bash -c "source ~/.bashrc"
# python libraries
RUN apt-get update -y && \
apt-get install -y python3-pip python3-dev
# install necessary locales, this prevents any locale errors related to Microsoft packages
RUN apt-get update && apt-get install -y locales \
&& echo "en_US.UTF-8 UTF-8" > /etc/locale.gen \
&& locale-gen
# copy requirements and install packages, I added this for general use
COPY ./requirements.txt > ./requirements.txt
RUN pip3 install -r ./requirements.txt
# you can also use regular install of the packages
RUN pip3 install pyodbc SQLAlchemy
# and if you are also planning to use Flask and Flask-SQLAlchemy
Run pip3 install Flask Flask-SQLAlchemy
COPY ..
# run your app via entrypoint or change the CMD command to your regular command
COPY docker-entrypoint.sh wsgi.py ./
CMD ["./docker-entrypoint.sh"]
This should build without any errors in Docker.
My database url looked like this:
import urllib.parse
# name the sepcific ODBC driver by version number, we installed msodbcsql17
params = urllib.parse.quote_plus("DRIVER={ODBC Driver 17 for SQL Server};SERVER=<your.database.windows.net>;DATABASE=<your-db-name>;UID=<username>;PWD=<password>")
db_uri = "mssql+pyodbc:///?odbc_connect={PARAMS}".format(PARAMS=params)
And for the bonus if you are using Flask-SQLAlchemy, your app config should contain something like this:
app.config["SQLALCHEMY_TRACK_MODIFICATIONS"] = False
app.config["SQLALCHEMY_DATABASE_URI"] = db_uri # from above
Happy coding!
How to install the necessary dependencies for pyodbc is related to the linux distribution and its version (in docker case, that is the base image of your docker image). If none of the above work for you, you can figure out the commands by trying in the docker container instance.
First, exec into the docker container
docker exec -it <container id> bash
Try various ways to get the distribution name and version of your linux. Then try different instructions in Install the Microsoft ODBC driver for SQL Server (Linux)
Here is a working example for Debian 9 based images, deriving exactly as the document instructions.
# Install pyodbc dependencies
RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -
RUN curl https://packages.microsoft.com/config/debian/9/prod.list > /etc/apt/sources.list.d/mssql-release.list
RUN apt-get update
RUN ACCEPT_EULA=Y apt-get -y install msodbcsql17
RUN apt-get -y install unixodbc-dev
RUN pip install pyodbc
For me to solve this issue I also had to add the following 2 lines in the dockerfile:
RUN echo MinProtocol = TLSv1.0 >> /etc/ssl/openssl.cnf
RUN echo CipherString = DEFAULT#SECLEVEL=1 >> /etc/ssl/openssl.cnf
For those who wanted to do official microsoft approach to install odbc driver and use python:slim docker image, you can use this as DockerFile:
FROM python:3.9-slim
RUN apt-get -y update && apt-get install -y curl gnupg
RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -
# download appropriate package for the OS version
# Debian 11
RUN curl https://packages.microsoft.com/config/debian/11/prod.list \
> /etc/apt/sources.list.d/mssql-release.list
RUN exit
RUN apt-get -y update
RUN ACCEPT_EULA=Y apt-get install -y msodbcsql18
Then for sqlalchemy's this can be called:
con_str = f"mssql+pyodbc://{username}:{password}#{host}/{db}?" \
"driver=ODBC+Driver+18+for+SQL+Server&TrustServerCertificate=yes"
engine = create_engine(con_str)
I created a Gist on GitHub on how to do this. I hope it helps. I had to piece things together from what I found on different resources.
https://gist.github.com/joshatxantie/4bcf5d0243fba63845fce7cc40365a3a
Goodluck!
I fixed this problem by using pypyodbc instead of pyodbc.
pip install pypyodbc==1.3.5
https://pypi.org/project/pypyodbc/
Found the hint here:
https://github.com/Azure/azure-functions-python-worker/issues/249
For not more problem use library for python
pymssql this not need install driver
pip install pymssql
import pymssql
conn = pymssql.connect(server, user, password, "tempdb")
cursor = conn.cursor(as_dict=True)
cursor.execute('SELECT * FROM persons WHERE salesrep=%s', 'John Doe')
for row in cursor:
print("ID=%d, Name=%s" % (row['id'], row['name']))
conn.close()
and work in docker