我的Docker容器在OSX上构建良好:
Docker version 17.12.0-ce, build c97c6d6
docker-compose version 1.18.0, build 8dd22a9
但不构建在Amazon Linux上:
Docker version 17.12.0-ce, build 3dfb8343b139d6342acfd9975d7f1068b5b1c3d3
docker-compose version 1.20.1, build 5d8c71b
完整Dockerfile:
# Specify base image
FROM andreptb/oracle-java:8-alpine
# Specify author / maintainer
MAINTAINER Douglas Duhaime <douglas.duhaime@gmail.com>
# Add source to a directory and use that directory
# NB: /app is a reserved directory in tomcat container
ENV APP_PATH="/lts-app"
RUN mkdir "$APP_PATH"
ADD . "$APP_PATH"
WORKDIR "$APP_PATH"
##
# Build BlackLab
##
RUN apk add --update --no-cache \
wget \
tar \
git
# Store the path to the maven home
ENV MAVEN_HOME="/usr/lib/maven"
# Add maven and java to the path
ENV PATH="$MAVEN_HOME/bin:$JAVA_HOME/bin:$PATH"
# Install Maven
RUN MAVEN_VERSION="3.3.9" && \
cd "/tmp" && \
wget "http://archive.apache.org/dist/maven/maven-3/$MAVEN_VERSION/binaries/apache-maven-$MAVEN_VERSION-bin.tar.gz" -O - | tar xzf - && \
mv "/tmp/apache-maven-$MAVEN_VERSION" "$MAVEN_HOME" && \
ln -s "$MAVEN_HOME/bin/mvn" "/usr/bin/mvn" && \
rm -rf "/tmp/*"
# Get the BlackLab source
RUN git clone "git://github.com/INL/BlackLab.git"
# Build BlackLab with Maven
RUN cd "BlackLab" && \
mvn clean install
##
# Build Python + Node dependencies
##
# Install system deps with Alpine Linux package manager
RUN apk add --update --no-cache \
g++ \
gcc \
make \
openssl-dev \
python3-dev \
python \
py-pip \
nodejs
# Install Python dependencies
RUN pip install -r "requirements.txt" && \
npm install --no-optional && \
npm run build
# Store Mongo service name as mongo host
ENV MONGO_HOST=mongo_service
ENV TOMCAT_HOST=tomcat_service
ENV TOMCAT_WEBAPPS=/tomcat_webapps/
# Make ports available
EXPOSE 7082
# Seed the db
CMD npm run seed && \
gunicorn -b 0.0.0.0:7082 --access-logfile - --reload server.app:app
完整的docker-compose.yml
version: '2'
services:
tomcat_service:
image: 'bitnami/tomcat:latest'
ports:
- '8080:8080'
volumes:
- docker-data-tomcat:/bitnami/tomcat/data/
- docker-data-blacklab:/lts-app/lts/
mongo_service:
image: 'mongo'
command: mongod
ports:
- '27017:27017'
web:
# gain access to linked containers
links:
- mongo_service
- tomcat_service
# explicitly declare service dependencies
depends_on:
- mongo_service
- tomcat_service
# set environment variables
environment:
PYTHONUNBUFFERED: 'true'
# use the image from the Dockerfile in the cwd
build: .
ports:
- '7082:7082'
volumes:
- docker-data-tomcat:/tomcat_webapps
- docker-data-blacklab:/lts-app/lts/
volumes:
docker-data-tomcat:
docker-data-blacklab:
我正在运行的命令是:docker-compose up --build
Amazon Linux上的结果是:
Running setup.py install for pymongo: started
Running setup.py install for pymongo: finished with status 'done'
Running setup.py install for pluggy: started
Running setup.py install for pluggy: finished with status 'done'
Running setup.py install for coverage: started
Running setup.py install for coverage: finished with status 'done'
Successfully installed Faker-0.8.12 Flask-0.12.2 Flask-Cors-3.0.3 Jinja2-2.10 MarkupSafe-1.0 Werkzeug-0.14.1 astroid-1.6.2 attrs-17.4.0 backports.functools-lru-cache-1.5 beautifulsoup4-4.5.1 click-6.7 configparser-3.5.0 coverage-4.5.1 enum34-1.1.6 funcsigs-1.0.2 futures-3.2.0 gunicorn-19.7.1 ipaddress-1.0.19 isort-4.3.4 itsdangerous-0.24 lazy-object-proxy-1.3.1 mccabe-0.6.1 more-itertools-4.1.0 pluggy-0.6.0 py-1.5.3 py4j-0.10.6 pylint-1.8.3 pymongo-3.6.1 pytest-3.5.0 pytest-cov-2.5.1 python-dateutil-2.7.2 singledispatch-3.4.0.3 six-1.11.0 text-unidecode-1.2 wrapt-1.10.11
You are using pip version 8.1.2, however version 9.0.3 is available.
You should consider upgrading via the 'pip install --upgrade pip' command.
npm WARN deprecated redux-mock-store@1.5.1: breaking changes in minor version
> base62@1.2.7 postinstall /lts-app/node_modules/base62
> node scripts/install-stats.js || exit 0
ERROR: Service 'web' failed to build: The command '/bin/sh -c pip install -r "requirements.txt" && npm install --no-optional && npm run build' returned a non-zero code: 1
有谁知道可能导致这种差异的原因是什么?来自Docker的错误消息没有提供很多线索。我会非常感谢别人可以提供的任何想法!
答案 0 :(得分:0)
为了解决这个问题,我按照@ MazelTov的建议,在我当地的OSX开发机器上构建容器,然后将图像发布到Docker Cloud,然后将这些图像下载到我的生产服务器(AWS EC2)上并运行图像
我会尝试概述下面的步骤,以防他人帮助他人。请注意,这些步骤要求您在开发和生产计算机上安装docker和docker-compose。我使用gui安装程序安装Docker for Mac。
编写Dockerfile和docker-compose.yml文件后,您可以使用docker-compose up --build
构建图像。
构建图像后,您可以按照以下步骤将它们上传到Docker Cloud。首先,在Docker Cloud上创建一个帐户。
然后将您的Docker Cloud用户名存储在环境变量中(因此~/.bash_profile
应包含export DOCKER_ID_USER='yaledhlab'
(尽管使用您的用户名)。
接下来从您的开发者计算机登录您的帐户:
docker login
登录后,列出泊坞窗图片:
docker ps
这将显示如下内容:
CONTAINER ID IMAGE COMMAND CREATED STATUS PORTS NAMES
89478c386661 yaledhlab/let-them-speak-web "/bin/sh -c 'npm run…" About an hour ago Up About an hour 0.0.0.0:7082->7082/tcp letthemspeak_web_1
5e9c75d29051 training/webapp:latest "python app.py" 4 hours ago Up 4 hours 0.0.0.0:5000->5000/tcp heuristic_mirzakhani
890f7f1dc777 bitnami/tomcat:latest "/app-entrypoint.sh …" 4 hours ago Up About an hour 0.0.0.0:8080->8080/tcp letthemspeak_tomcat_service_1
09d74e36584d mongo "docker-entrypoint.s…" 4 hours ago Up About an hour 0.0.0.0:27017->27017/tcp letthemspeak_mongo_service_1
对于要发布到Docker Cloud的每个图像,请运行:
docker tag image_name $DOCKER_ID_USER/my-uploaded-image-name
docker push $DOCKER_ID_USER/my-uploaded-image-name
例如,要将mywebapp_web
上传到Docker云上的用户帐户,您可以运行:
docker tag mywebapp_web $DOCKER_ID_USER/web
docker push $DOCKER_ID_USER/web
然后,您可以open https://cloud.docker.com/swarm/$DOCKER_ID_USER/repository/list
运行以查看上传的图片。
最后,您可以按照以下步骤在EC2上部署图像。首先,在Amazon风格的EC2实例上安装Docker和Docker-Compose:
# install docker
sudo yum install docker -y
# start docker
sudo service docker start
# allow ec2-user to run docker
sudo usermod -a -G docker ec2-user
# get the docker-compose binaries
sudo curl -L https://github.com/docker/compose/releases/download/1.20.1/docker-compose-`uname -s`-`uname -m` -o /usr/local/bin/docker-compose
# change the permissions on the source
sudo chmod +x /usr/local/bin/docker-compose
退出,然后重新登录以更新用户的群组。然后启动一个屏幕并运行服务器:screen
。屏幕启动后,您应该能够添加一个新的docker-compose配置文件,该文件指定已部署映像的路径。例如,我需要获取位于let-them-speak-web
的Docker Cloud帐户中的yaledhlab
容器,因此我将上面的docker-compose.yml
文件更改为以下文件,我将其命名为{{1} }:
production.yml
然后可以使用:version: '2'
services:
tomcat_service:
image: 'bitnami/tomcat:latest'
ports:
- '8080:8080'
volumes:
- docker-data-tomcat:/bitnami/tomcat/data/
- docker-data-blacklab:/lts-app/lts/
mongo_service:
image: 'mongo'
command: mongod
ports:
- '27017:27017'
web:
image: 'yaledhlab/let-them-speak-web'
# gain access to linked containers
links:
- mongo_service
- tomcat_service
# explicitly declare service dependencies
depends_on:
- mongo_service
- tomcat_service
# set environment variables
environment:
PYTHONUNBUFFERED: 'true'
ports:
- '7082:7082'
volumes:
- docker-data-tomcat:/tomcat_webapps
- docker-data-blacklab:/lts-app/lts/
volumes:
docker-data-tomcat:
docker-data-blacklab:
运行生产撰写文件。最后,使用另一个终端ssh,并使用docker-compose -f production.yml up
分隔屏幕。