Docker:写入链接容器的磁盘 [英] Docker: Write to disk of linked container
问题描述
我有一个运行简单Web应用程序的Docker容器。 Docker Compose使用以下docker-compose.yml文件将该容器链接到其他两个容器:
I have a Docker container that runs a simple web application. That container is linked to two other containers by Docker Compose with the following docker-compose.yml file:
version: '2'
services:
mongo_service:
image: mongo
command: mongod
ports:
- '27017:27017'
tomcat_service:
image: 'bitnami/tomcat:latest'
ports:
- '8080:8080'
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:
- '8000:8000'
web
容器启动,我想在 tomcat_service上的
容器。我尝试只从 / bitnami / tomcat / data /
中写一些内容 web
容器中写入该磁盘位置,但遇到一个例外:
Once the web
container starts, I want to write some content to /bitnami/tomcat/data/
on the tomcat_service
container. I tried just writing to that disk location from within the web
container but am getting an exception:
没有这样的文件或目录:'/ bitnami / tomcat / data /'
No such file or directory: '/bitnami/tomcat/data/'
有人知道我能做什么能够从 web
容器写入 tomcat_service
容器?我将非常感谢其他人在这个问题上可以提供的任何建议!
Does anyone know what I can do to be able to write to the tomcat_service
container from the web
container? I'd be very grateful for any advice others can offer on this question!
推荐答案
如果需要,您必须使用docker卷一种服务写入其他服务。如果Web写入someFolderName,则tomcat_service中将存在相同的文件。
you have to use docker volumes if you want one service to write to other service. If web writes to someFolderName the same file will exist in the tomcat_service.
version: '2'
services:
tomcat_service:
image: 'bitnami/tomcat:latest'
volumes:
- my_shared_data:/bitnami/tomcat/data/
web:
volumes:
- my_shared_data:/someFolderName
volumes:
my_shared_data:
体积
中的数据仍然存在,甚至在下次重新创建Docker容器时这些数据仍然可用。在docker容器中写入某些数据时,应始终使用docker卷。
Data in volumes
persist and they will be available even next time you re-create docker containers. You should always use docker volumes when writing some data in docker containers.
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