我正试图与几个芹菜工人对我的django应用程序进行docker化。 django应用程序和celery工人都创建相同的容器-相同的python映像,相同的pipenv,从pipenv安装的相同软件包,相同的应用程序。唯一的区别是,我希望一个容器运行django应用服务器,另一个容器运行我的芹菜工人。
当我运行docker-compose up
时,泊坞窗正在复制应用程序并为每个容器安装相同的python软件包一次。这花了很长时间,因为它做了2次完全相同的事情。
我想知道是否有一种方法可以克隆我的应用程序并一次安装软件包,并将其用于所有2个容器,否则将安装2次相同的东西。
Dockerfile
FROM python:3.5.6
COPY . /app/
WORKDIR /app/
RUN pip install pipenv==2018.11.26
ADD Pipfile Pipfile
RUN pipenv install --deploy --system
EXPOSE 8000
Docker-compose.yml
version: '2'
services:
app:
restart: always
build: .
expose:
- "8000"
container_name: "app"
image: debian/latest
links:
- postgres
- redis
depends_on:
- postgres
- redis
ports:
- '8000:8000'
networks:
- network1
- nginx_network
volumes:
- ./:/app
- ./data:/app/data
- static_volume:/app/static
- ./logs:/app/logs
entrypoint: ["sh", "/app/docker-entrypoint.sh"]
env_file:
- .env
environment:
- DJANGO_SETTINGS_MODULE=app.settings.production
celery_default:
restart: always
build: .
container_name: "celery_default"
networks:
- network1
links:
- redis
- postgres
depends_on:
- postgres
- redis
- celerybeat
volumes:
- ./:/app
- ./data:/app/data
- ./logs:/app/logs
- ./celery:/app/celery
env_file:
- .env
entrypoint: "celery -A app worker -Q celery -l debug -n celery_worker --concurrency=2 --logfile=./celery/logs/default.log"
答案 0 :(得分:1)
我要做的是在您的compose
中定义一个图像,然后其他应用程序使用该图像:
version: '2'
services:
app:
restart: always
build: .
image: your-custom-image # Notice I've created a custom image tag here
expose:
- "8000"
container_name: "app"
links:
- postgres
- redis
depends_on:
- postgres
- redis
ports:
- '8000:8000'
networks:
- network1
- nginx_network
volumes:
- ./:/app
- ./data:/app/data
- static_volume:/app/static
- ./logs:/app/logs
entrypoint: ["sh", "/app/docker-entrypoint.sh"]
env_file:
- .env
environment:
- DJANGO_SETTINGS_MODULE=app.settings.production
celery_default:
restart: always
image: your-custom-image # No build directory, just reuse that image
container_name: "celery_default"
networks:
- network1
links:
- redis
- postgres
depends_on:
- postgres
- redis
- celerybeat
volumes:
- ./:/app
- ./data:/app/data
- ./logs:/app/logs
- ./celery:/app/celery
env_file:
- .env
entrypoint: "celery -A app worker -Q celery -l debug -n celery_worker --concurrency=2 --logfile=./celery/logs/default.log"
这样,您只需build
一次,而其他应用程序仅使用该内置图像