I need both java and python in my docker container to run some code.
This is my dockerfile:
It works perpectly if I don't add the FROM openjdk:slim
#get python
FROM python:3.6-slim
RUN pip install --trusted-host pypi.python.org flask
#get openjdk
FROM openjdk:slim
COPY . /targetdir
WORKDIR /targetdir
# Make port 81 available to the world outside this container
EXPOSE 81
CMD ["python", "test.py"]
And the test.py app is in the same directory:
from flask import Flask
import os
app = Flask(__name__)
#app.route("/")
def hello():
html = "<h3>Test:{test}</h3>"
test = os.environ['JAVA_HOME']
return html.format(test = test)
if __name__ == '__main__':
app.run(debug=True,host='0.0.0.0',port=81)
I'm getting this error:
D:\MyApps\Docker Toolbox\Docker Toolbox\docker.exe: Error response from daemon: OCI runtime create failed: container_linux.go:348: starting container process caused "exec: \"python\": executable file not found in $PATH": unknown.
What exactly am I doing wrong here? I'm new to docker, perhaps I'm missing a step.
Additional details
My goal
I have to run a python program that runs a Java file. The python library I'm using requires the path to JAVA_HOME.
My issues:
I do not know Java, so I cannot run the file properly.
My entire code is in Python, except this Java bit
The Python wrapper runs the file in a way I need it to run.
An easier solution to the above issue is to use multi-stage docker containers where you can copy the content from one to another. In the above case you can have openjdk:slim as the base container and then use content from a python container to be copied over into this base container as follows:
FROM openjdk:slim
COPY --from=python:3.6 / /
...
<normal instructions for python container continues>
...
This feature is available as of Docker 17.05 and there are more things you can do using multi-stage build as in copying only the content you need from one to another.
Reference documentation
OK it took me a little while to figure it out. And my thanks go to this answer.
I think my approach didn't work because I did not have a basic version of Linux.
So it goes like this:
Get Linux (I'm using Alpine because it's barebones)
Get Java via the package manager
Get Python, PIP
OPTIONAL: find and set JAVA_HOME
Find the path to JAVA_HOME. Perhaps there is a better way to do this, but I did this running the running the container, then I looked inside the container using docker exec -it [COINTAINER ID] bin/bash and found it.
Set JAVA_HOME in dockerfile and build + run it all again
Here is the final Dockerfile ( it should work with the python code in the question) :
### 1. Get Linux
FROM alpine:3.7
### 2. Get Java via the package manager
RUN apk update \
&& apk upgrade \
&& apk add --no-cache bash \
&& apk add --no-cache --virtual=build-dependencies unzip \
&& apk add --no-cache curl \
&& apk add --no-cache openjdk8-jre
### 3. Get Python, PIP
RUN apk add --no-cache python3 \
&& python3 -m ensurepip \
&& pip3 install --upgrade pip setuptools \
&& rm -r /usr/lib/python*/ensurepip && \
if [ ! -e /usr/bin/pip ]; then ln -s pip3 /usr/bin/pip ; fi && \
if [[ ! -e /usr/bin/python ]]; then ln -sf /usr/bin/python3 /usr/bin/python; fi && \
rm -r /root/.cache
### Get Flask for the app
RUN pip install --trusted-host pypi.python.org flask
####
#### OPTIONAL : 4. SET JAVA_HOME environment variable, uncomment the line below if you need it
#ENV JAVA_HOME="/usr/lib/jvm/java-1.8-openjdk"
####
EXPOSE 81
ADD test.py /
CMD ["python", "test.py"]
I'm new to Docker, so this may not be the best possible solution. I'm open to suggestions.
UPDATE: COMMON ISUUES
Difficulty using python packages
As Joabe Lucena pointed out here, Alpine can have issues certain python packages.
I recommend that you use a Linux distro that works best for you, e.g. centos.
Another alternative is to simply use docker-java-python image from docker hub. https://hub.docker.com/r/rappdw/docker-java-python
FROM rappdw/docker-java-python:openjdk1.8.0_171-python3.6.6
RUN java -version
RUN python --version
I found Sunny Pal's answer very useful but I made the copy more specific and added the necessary environment variables and update-alternatives lines so that Java was accessible from the command line in the Python container.
FROM python:3.9-slim
COPY --from=openjdk:8-jre-slim /usr/local/openjdk-8 /usr/local/openjdk-8
ENV JAVA_HOME /usr/local/openjdk-8
RUN update-alternatives --install /usr/bin/java java /usr/local/openjdk-8/bin/java 1
...
Oh, let me add my five cents. I took python slim as a base image. Then I found open-jdk-11 (Note, open-jdk-10 will fail because it is not supported) base image code!... And copy-pasted it into my docker file.
Note, copy-paste driven development is cool... ONLY when you understand each line you use in your code!!!
And here it is!
<!-- language: shell -->
FROM python:3.7.2-slim
# Do your stuff, install python.
# and now Jdk
RUN rm -rf /var/lib/apt/lists/* && apt-get clean && apt-get update && apt-get upgrade -y \
&& apt-get install -y --no-install-recommends curl ca-certificates \
&& rm -rf /var/lib/apt/lists/*
ENV JAVA_VERSION jdk-11.0.2+7
COPY slim-java* /usr/local/bin/
RUN set -eux; \
ARCH="$(dpkg --print-architecture)"; \
case "${ARCH}" in \
ppc64el|ppc64le) \
ESUM='c18364a778b1b990e8e62d094377af48b000f9f6a64ec21baff6a032af06386d'; \
BINARY_URL='https://github.com/AdoptOpenJDK/openjdk11-binaries/releases/download/jdk-11.0.1%2B13/OpenJDK11U-jdk_ppc64le_linux_hotspot_11.0.1_13.tar.gz'; \
;; \
s390x) \
ESUM='e39aacc270731dadcdc000aaaf709adae7a08113ccf5b4a045bc87fc13458d71'; \
BINARY_URL='https://github.com/AdoptOpenJDK/openjdk11-binaries/releases/download/jdk-11%2B28/OpenJDK11-jdk_s390x_linux_hotspot_11_28.tar.gz'; \
;; \
amd64|x86_64) \
ESUM='d89304a971e5186e80b6a48a9415e49583b7a5a9315ba5552d373be7782fc528'; \
BINARY_URL='https://github.com/AdoptOpenJDK/openjdk11-binaries/releases/download/jdk-11.0.2%2B7/OpenJDK11U-jdk_x64_linux_hotspot_11.0.2_7.tar.gz'; \
;; \
aarch64|arm64) \
ESUM='b66121b9a0c2e7176373e670a499b9d55344bcb326f67140ad6d0dc24d13d3e2'; \
BINARY_URL='https://github.com/AdoptOpenJDK/openjdk11-binaries/releases/download/jdk-11.0.1%2B13/OpenJDK11U-jdk_aarch64_linux_hotspot_11.0.1_13.tar.gz'; \
;; \
*) \
echo "Unsupported arch: ${ARCH}"; \
exit 1; \
;; \
esac; \
curl -Lso /tmp/openjdk.tar.gz ${BINARY_URL}; \
sha256sum /tmp/openjdk.tar.gz; \
mkdir -p /opt/java/openjdk; \
cd /opt/java/openjdk; \
echo "${ESUM} /tmp/openjdk.tar.gz" | sha256sum -c -; \
tar -xf /tmp/openjdk.tar.gz; \
jdir=$(dirname $(dirname $(find /opt/java/openjdk -name javac))); \
mv ${jdir}/* /opt/java/openjdk; \
export PATH="/opt/java/openjdk/bin:$PATH"; \
apt-get update; apt-get install -y --no-install-recommends binutils; \
/usr/local/bin/slim-java.sh /opt/java/openjdk; \
apt-get remove -y binutils; \
rm -rf /var/lib/apt/lists/*; \
rm -rf ${jdir} /tmp/openjdk.tar.gz;
ENV JAVA_HOME=/opt/java/openjdk \
PATH="/opt/java/openjdk/bin:$PATH"
ENV JAVA_TOOL_OPTIONS="-XX:+UseContainerSupport"
Now references.
https://github.com/AdoptOpenJDK/openjdk-docker/blob/master/11/jdk/ubuntu/Dockerfile.hotspot.releases.slim
https://hub.docker.com/_/python/
https://hub.docker.com/r/adoptopenjdk/openjdk11/
I used them to answer this question, which may help you sometime.
Running Python and Java in Docker
I believe that by adding FROM openjdk:slim line, you tell docker to execute all of your subsequent commands in openjdk container (which does not have python)
I would approach this by creating two separate containers for openjdk and python and specify individual sets of commands for them.
Docker is made to modularize your solutions and mashing everything into one container is usually a bad practice.
I tried pajamas's anwser which worked very well for creating this image. However, when trying to install packages like gensim, pandas or else, I faced some errors like: don't know how to compile Fortran code on platform 'posix'. I searched and tried this, this and that but none worked for me.
So, based on pajamas's anwser I decided to convert his image from Alpine to Centos which worked very well. So here's a Dockerfile that might help someone who's may be struggling in this scenario like I was:
# Get Linux
FROM centos:7
# Install Java
RUN yum update -y \
&& yum install java-1.8.0-openjdk -y \
&& yum clean all \
&& rm -rf /var/cache/yum
# Set JAVA_HOME environment var
ENV JAVA_HOME="/usr/lib/jvm/jre-openjdk"
# Install Python
RUN yum install python3 -y \
&& pip3 install --upgrade pip setuptools wheel \
&& if [ ! -e /usr/bin/pip ]; then ln -s pip3 /usr/bin/pip ; fi \
&& if [[ ! -e /usr/bin/python ]]; then ln -sf /usr/bin/python3 /usr/bin/python; fi \
&& yum clean all \
&& rm -rf /var/cache/yum
CMD ["bash"]
you should have one FROM in your dockerfile
(unless you use multi-stage build for the docker)
I think i found easiest way to mix java jdk 17 and python3. I is not working on python2
FROM openjdk:17.0.1-jdk-slim
RUN apt-get update && \
apt-get install -y software-properties-common && \
apt-get install -y python3-pip
Software Commons have python3 lightweight version. (3.9.1 version)
U can also install some libraries like that.
RUN python3 -m pip install --upgrade pip && \
python3 -m pip install numpy && \
python3 -m pip install opencv-python
OR
RUN apt-get update && \
apt-get install -y ffmpeg
Easiest is to just start from a Python image and add the OpenJDK. Note that FROM openjdk has been deprecated and replaced with eclipse-temurin
FROM python:3.10
ENV JAVA_HOME=/opt/java/openjdk
COPY --from=eclipse-temurin:17-jre $JAVA_HOME $JAVA_HOME
ENV PATH="${JAVA_HOME}/bin:${PATH}"
RUN pip install --trusted-host pypi.python.org flask
See How to use this Image - Using a different base Image section of https://hub.docker.com/_/eclipse-temurin for details.
Instead of using FROM openjdk:slim you can separately install Java, please refer below example:
# Install OpenJDK-8
RUN apt-get update && \
apt-get install -y openjdk-8-jdk && \
apt-get install -y ant && \
apt-get clean;
# Fix certificate issues
RUN apt-get update && \
apt-get install ca-certificates-java && \
apt-get clean && \
update-ca-certificates -f;
# Setup JAVA_HOME -- useful for docker commandline
ENV JAVA_HOME /usr/lib/jvm/java-8-openjdk-amd64/
RUN export JAVA_HOME
I have an application that consists of a docker container with a redis instance, another docker container with a rabbitmq server, and a third container in which I'm trying to start a number of celery workers that can interact with the redis and rabbitmq containers. I'm starting and stopping these workers via a rest api, and have checked that I'm able to do this on my host machine. However, after moving the setup to docker, it seems the workers are not behaving as expected. Whereas on my host machine (windows 10) I was able to see the reply from the rest api and console output from the workers, I can only see the response from the rest api (a log message) and no console output. It also seems that the workers are not accessing the redis and rabbitmq instances.
My docker container is built from a python3.6 (linux) base image. I have checked that everything is installed correctly, and there are no error logs. I build the image with the following dockerfile:
FROM python:3.6
WORKDIR /opt
# create a virtual environment and add it to PATH so that it is applied for
# all future RUN and CMD calls
ENV VIRTUAL_ENV=/opt/venv
RUN python3 -m venv $VIRTUAL_ENV
ENV PATH="$VIRTUAL_ENV/bin:$PATH"
# install msodbcsql17
RUN apt-get update \
&& apt-get install -y curl apt-transport-https gnupg2 \
&& curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -
\
&& curl https://packages.microsoft.com/config/debian/9/prod.list >
/etc/apt/sources.list.d/mssql-release.list \
&& apt-get update \
&& ACCEPT_EULA=Y apt-get install -y msodbcsql17 mssql-tools
# Install Mono for pythonnet.
RUN apt-get update \
&& apt-get install --yes \
dirmngr \
clang \
gnupg \
ca-certificates \
# Dependency for pyodbc.
unixodbc-dev \
&& apt-key adv --keyserver hkp://keyserver.ubuntu.com:80 --recv-keys
3FA7E0328081BFF6A14DA29AA6A19B38D3D831EF \
&& echo "deb http://download.mono-project.com/repo/debian
stretch/snapshots/5.20 main" | tee /etc/apt/sources.list.d/mono-official-
stable.list \
&& apt-get update \
&& apt-get install --yes \
mono-devel=5.20\* \
&& rm -rf /var/lib/apt/lists/*
COPY requirements.txt .
COPY src ./src
COPY setup.py ./setup.py
COPY config.json ./config.json
COPY Utility.dll ./Utility.dll
COPY settings_docker.ini ./settings.ini
COPY config.json ./config.json
COPY sql_config.json ./sql_config.json
RUN python3 -m venv $VIRTUAL_ENV \
# From here on, use virtual env's python.
&& venv/bin/pip install --upgrade pip \
&& venv/bin/pip install --no-cache-dir --upgrade pip setuptools wheel \
&& venv/bin/pip install --no-cache-dir -r requirements.txt \
# Dependency for pythonnet.
&& venv/bin/pip install --no-cache-dir pycparser \
&& venv/bin/pip install -U --no-cache-dir "pythonnet==2.5.1" \
# && python -m pip install --no-cache-dir "pyodbc==4.0.25" "pythonnet==2.5.1"
EXPOSE 8081
cmd python src/celery_artifacts/docker_workers/worker_app.py
And then run it with this command:
docker run --name app -p 8081:8081 app
I then attach the container to the same bridge network as the other 2:
docker network connect my_network app
Is there a way to see the same console output from my container as the one on the host?
I build an AI application in Python involving quiet an amount of Python libraries. At this point, I would like to run my application inside of a docker container to make the AI App a service.
What are my options concerning dependencie so that all necessary libraries are downloaded automatically?
As an weak alternative, I tried this with a "requirement.txt" file on the same level as my Docker build file, but this didn't work.
Your Dockerfile will need instructions to install the requirements, e.g.
COPY requirement.txt requirement.txt
RUN pip install -r requirement.txt
Thank you for the very useful comments:
My dockerfile:
# Python 3.7.3
FROM python:3.7-slim
# Set the working directory to /app
WORKDIR /app
COPY greeter_server.py /app
COPY AspenTechClient.py /app
COPY OpcUa_pb2.py /app
COPY OpcUa_pb2_grpc.py /app
COPY helloworld_pb2.py /app
COPY helloworld_pb2_grpc.py /app
COPY Models.py /app
ADD ./requirement.txt /app
# Training & Validation data we need
RUN mkdir -p /app/output
RUN pip install -r requirement.txt
#RUN pip3 install grpcio grpcio-tools
#RUN pip install protobuf
#RUN pip install pandas
#RUN pip install scipy
#expose ports to outside container for web app access
EXPOSE 10500
# Argument to python command
CMD [ "python", "/app/greeter_server.py" ]
By the tips here, I already added the extra lines for "requirement.txt" and that works like a charm. Thank you very much!
Since I only want to run a deployment in the container, I will forseen trained models so no need for a GPU. For this I have a local machine. With an appropriate mount I deliver the .h5 to the container.
#pyeR_biz: Thank you very much for the tips about pipelines. This is something I didn't have experience with but certainly will do it in the near future.
You have several options. It depends a lot on the use case, the number of containers you will eventually build, production vs dev environment etc.
Generally if you have an AI application you will need a graphics card driver pre-installed on your host system for model training. Which means eventually you'll have to come up with a way to automate driver install or write instructions for end users to do that. For an app you might also need database drivers in the docker image, if your front or back end databases are outside the container. Here is a toned-down example of one of my uses cases with requirement being building docker for a data pipeline.
#Taken from puckel/docker-airflow
#can look up this image name on google to see which OS it is based on.
FROM python:3.6-slim-buster
LABEL maintainer="batman"
# Never prompt the user for choices on installation/configuration of packages
ENV DEBIAN_FRONTEND noninteractive
ENV TERM linux
# Set some default configuration for data pipeline management tool called airflow
ARG AIRFLOW_VERSION=1.10.9
ARG AIRFLOW_USER_HOME=/usr/local/airflow
ARG AIRFLOW_DEPS=""
ENV AIRFLOW_HOME=${AIRFLOW_USER_HOME}
# here install some linux dependencies required to run the pipeline.
# use apt-get install, apt-get auto-remove etc to reduce size of image
# curl and install sql server odbc driver for my linux
RUN set -ex \
&& buildDeps=' freetds-dev libkrb5-dev libsasl2-dev libssl-dev libffi-dev libpq-dev git' \
&& apt-get update -yqq \
&& apt-get upgrade -yqq \
&& apt-get install -yqq --no-install-recommends \
$buildDeps freetds-bin build-essential default-libmysqlclient-dev \
apt-utils curl rsync netcat locales gnupg wget \
&& useradd -ms /bin/bash -d ${AIRFLOW_USER_HOME} airflow \
&& curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add - \ #
&& curl https://packages.microsoft.com/config/debian/10/prod.list > /etc/apt/sources.list.d/mssql-release.list \
&& apt-get update \
&& ACCEPT_EULA=Y apt-get install -y msodbcsql17 \
&& ACCEPT_EULA=Y apt-get install -y mssql-tools \
&& pip install apache-airflow[crypto,celery,postgres,hive,jdbc,mysql,ssh${AIRFLOW_DEPS:+,}${AIRFLOW_DEPS}]==${AIRFLOW_VERSION} \
&& apt-get purge --auto-remove -yqq $buildDeps \
&& apt-get autoremove -yqq --purge \
&& apt-get clean \
&& rm -rf \
/var/lib/apt/lists/* \
/tmp/* \
/var/tmp/* \
/usr/share/man \
/usr/share/doc \
/usr/share/doc-base
# Install all required packages in python environment from requirements.txt (I generally remove version numbers if my python version are same)
ADD ./requirements.txt /config/
RUN pip install -r /config/requirements.txt
# CLEANUP
RUN apt-get autoremove -yqq --purge \
&& apt-get clean \
&& rm -rf \
/var/lib/apt/lists/* \
/tmp/* \
/var/tmp/* \
/usr/share/man \
/usr/share/doc \
/usr/share/doc-base
#CONFIGURATION
COPY script/entrypoint.sh /entrypoint.sh
COPY config/airflow.cfg ${AIRFLOW_USER_HOME}/airflow.cfg
# hand ownership of libraries to relevant user
RUN chown -R airflow: ${AIRFLOW_USER_HOME}
#expose ports to outside container for web app access
EXPOSE 8080 5555 8793
USER airflow
WORKDIR ${AIRFLOW_USER_HOME}
ENTRYPOINT ["/entrypoint.sh"]
CMD ["webserver"]
1) Select an appropriate base image which has the operating system you need.
2) Get your gpu drivers installed if you are training a model, not mandatory if you are serving the model
This question already has answers here:
standard_init_linux.go:211: exec user process caused "exec format error"
(8 answers)
Closed 2 years ago.
I am currently trying to deploy my docker application to the container registry Azure. I am able to run my docker image locally but when I deploy it to azure, it gives me this error:
standard_init_linux.go:207: exec user process caused "exec format error"
Here is my dockerfile:
*Pull a pre-built alpine docker image with nginx and python3 installed
*this image is from docker community, its small so our upload to contain will be faster
FROM tiangolo/uwsgi-nginx-flask:python3.7
FROM ubuntu:latest
ENV LISTEN_PORT=8400
EXPOSE 8400
RUN apt-get update && apt-get install -y /
curl apt-utils apt-transport-https debconf-utils gcc build-essential g++-5\
&& rm -rf /var/lib/apt/lists/*
*adding custom MS repository
RUN curl https://packages.microsoft.com/keys/microsoft.asc | apt-key add -
RUN curl https://packages.microsoft.com/config/ubuntu/19.04/prod.list > /etc/apt/sources.list.d/mssql-release.list
RUN apt-get update && ACCEPT_EULA=Y apt-get install -y msodbcsql17
*install SQL Server drivers
RUN apt-get update && ACCEPT_EULA=Y apt-get -f install -y unixodbc-dev
*install SQL Server tools
RUN apt-get update && ACCEPT_EULA=Y apt-get install -y mssql-tools
RUN echo 'export PATH="$PATH:/opt/mssql-tools/bin"' >> ~/.bashrc
RUN /bin/bash -c "source ~/.bashrc"
RUN apt-get update && apt-get install -y python3-pip
RUN apt-get update && apt-get install -y libpq-dev
*install additional requirements from a requirements.txt file
COPY requirements.txt /
RUN pip3 install --no-cache-dir -r /requirements.txt
COPY app/. /.
CMD python3 wsgi.py
Because I do not understand how azure calls my Docker images, I kept on trying different CMD versions such as:
CMD ["python3", "wsgi.py", "runserver", "0.0.0.0:8400"]
But to no avail. I looked up on internet for solutions but really could not find any. Is there anyone there that has insights on what I do wrong? Is it essential to create a .sh file ? I am new to linux so any insights will help!
Thanks again!
I've experienced similar issues that was caused by the docker image being built on one architecture (say AMD64) but then failed when trying to run on a different architecture (ARM64).
Look into QEMU
tutorial
docker ref
I am trying to create a Docker container with python 3 and nltk tokenizer. Can anyone help me with creation on of Dockerfile.
Here's a Dockerfile which installs nltk via the python3-nltk debian package (and demonstrates that it indeed works)
FROM ubuntu:xenial
RUN apt-get update && \
DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends \
python3-nltk && \
rm -rf /var/lib/apt/lists/*
CMD ["python3", "-c", "import nltk"]
Note that the apt-get boilerplate is suggested in the dockerfile best practices
You can begin your Dockerfile like this:
FROM python:3-wheezy
RUN apt-get update && apt-get install -y git ca-certificates
RUN pip install -q nltk
#optionally your other docker commands here
Then build and run the container.
Obs: This is a official debian based container (compatible with ubuntu) if you like a pure ubuntu container replace "python:3-wheezy" with "dominga/uwsgi-python3" which is built from ubuntu14