Managing Data in Containers

Managing Data in Containers

So far we've been introduced to some basic Docker concepts, seen how to work with Docker
images as well as learned about networking and links between containers. In this section we're going to discuss
how you can manage data inside and between your Docker containers.

这一章介绍怎样在docker容器之间管理数据

We're going to look at the two primary ways you can manage data in Docker.

在容器中管理数据的2个主要方法

Data volumes, and
Data volume containers.

Data volumes

数据卷

A data volume is a specially-designated directory within one or more containers that bypasses the Union
File System to provide several useful features for persistent or shared data:

数据卷是一个专门UFS的专门文件夹，它能够提供非常多实用的特性或者共享数据

Data volumes can be shared and reused between containers 数据卷能够在容器之间共享和重用
Changes to a data volume are made directly 对数据卷的改变是立刻生效
Changes to a data volume will not be included when you update an image 当你更新数据的时候。不会被包括到image中
Volumes persist until no containers use them 卷会一直存在直到没有容器使用他们

Adding a data volume

加入一个数据卷

You can add a data volume to a container using the

-v

flag
with the

docker run

command. You
can use the

-v

multiple times in
a single

docker run

to mount multiple
data volumes. Let's mount a single volume now in our web application container.

在用docker run命令的时候，使用-v标记来加入一个数据卷。在一次run中多次使用能够挂载多个数据卷，以下载入一个卷到web容器上。

$ sudo docker run -d -P --name web -v /webapp training/webapp python app.py

This will create a new volume inside a container at

/webapp

.

这创建一个新的卷到容器的/webapp

Mount a Host Directory as a Data Volume

挂载一个主机文件夹作为数据卷

In addition to creating a volume using the

-v

flag
you can also mount a directory from your own host into a container.

使用-v标记也能够挂载一个主机的文件夹到容器中去

$ sudo docker run -d -P --name web -v /src/webapp:/opt/webapp training/webapp python app.py

This will mount the local directory,

/src/webapp

,
into the container as the

/opt/webapp

directory.
This is very useful for testing, for example we can mount our source code inside the container and see our application at work as we change the source code. The directory on the host must be specified as an absolute path and if the directory doesn't exist
Docker will automatically create it for you.

上面的命令载入主机的/src/webapp到容器的/opt/webapp文件夹。

这个測试的时候非常实用，比方我们能够载入我们的源代码到容器中。来查看他们是否工作良好。文件夹的路径必须是主机上的绝对路径。假设文件夹不存在docker会自己主动为你创建它。



Docker defaults to a read-write volume but we can also mount a directory read-only.

docker mount默认是读写权限，但我们能够把它载入为仅仅读。

$ sudo docker run -d -P --name web -v /src/webapp:/opt/webapp:ro training/webapp python app.py

Here we've mounted the same

/src/webapp

directory
but we've added the

ro

option to
specify that the mount should be read-only.

加了ro之后，就挂载为仅仅读了。

Mount a Host File as a Data Volume

The

-v

flag can also be used to mount
a single file - instead of just directories - from the host machine.

-v标记也能够从主机挂载单个文件到容器中

$ sudo docker run --rm -it -v ~/.bash_history:/.bash_history ubuntu /bin/bash

This will drop you into a bash shell in a new container, you will have your bash history from the host and when you exit the container, the host will have the history of the commands typed while in the container.

这样就能够记录在容器输入过的命令了。

Creating and mounting a Data Volume Container

创建并载入一个容器数据卷

If you have some persistent data that you want to share between containers, or want to use from non-persistent containers, it's best to create a named Data Volume Container, and then to mount the data from it.

假设你有一些持续更新的数据须要在容器之间共享，最好创建一个命名容器卷。然后载入它。

Let's create a new named container with a volume to share.

如今就来创建一个命名容器卷并共享它

$ sudo docker run -d -v /dbdata --name dbdata training/postgres echo Data-only container for postgres

You can then use the

--volumes-from

flag
to mount the

/dbdata

volume in another
container.

你能够在其它容器中使用--volumes-from 来挂载/dbdata卷

$ sudo docker run -d --volumes-from dbdata --name db1 training/postgres

And another:

$ sudo docker run -d --volumes-from dbdata --name db2 training/postgres

You can use multiple

--volumes-from

parameters
to bring together multiple data volumes from multiple containers.

还能够使用多个--volumes-from 參数来从多个容器挂载多个数据卷

You can also extend the chain by mounting the volume that came from the

dbdata

container
in yet another container via the

db1

or

db2

containers.

也能够从其它已经挂载了容器卷的容器来挂载数据卷

$ sudo docker run -d --name db3 --volumes-from db1 training/postgres

If you remove containers that mount volumes, including the initial

dbdata

container,
or the subsequent containers

db1

and

db2

,
the volumes will not be deleted until there are no containers still referencing those volumes. This allows you to upgrade, or effectively migrate data volumes between containers.

假设你移除了挂载的容器，包含初始容器，或者后来的db1 db2，这些卷在有容器使用它的时候不会被删除。这能够让我们在容器之间升级和移动数据。

Backup, restore, or migrate data volumes

备份、恢复、移动数据卷

Another useful function we can perform with volumes is use them for backups, restores or migrations. We do this by using the

--volumes-from

flag
to create a new container that mounts that volume, like so:

另外一个实用功能是使用他们来备份、恢复、移动数据卷。使用--volume标记来创建一个载入了卷的新的容器。命令例如以下：

$ sudo docker run --volumes-from dbdata -v $(pwd):/backup ubuntu tar cvf /backup/backup.tar /dbdata

Here's we've launched a new container and mounted the volume from the

dbdata

container.
We've then mounted a local host directory as

/backup

.
Finally, we've passed a command that uses

tar

to
backup the contents of the

dbdata

volume
to a

backup.tar

file inside our

/backup

directory.
When the command completes and the container stops we'll be left with a backup of our

dbdata

volume.

这里我们创建了一个容器。然后从dbdata容器来挂载一个数据卷。然后从本地主机挂载了一个/backup文件夹。

最后。使用tar命令来讲dbdata卷备份为back.tar到/backup文件夹。当命令运行完、容器停止之后，我们就备份了dbdata数据卷。

You could then to restore to the same container, or another that you've made elsewhere. Create a new container.

你能够使用这个备份来恢复这个容器。

$ sudo docker run -v /dbdata --name dbdata2 ubuntu /bin/bash

Then un-tar the backup file in the new container's data volume.

然后使用untar解压这个备份文件到新容器卷中。

$ sudo docker run --volumes-from dbdata2 -v $(pwd):/backup busybox tar xvf /backup/backup.tar

You can use this techniques above to automate backup, migration and restore testing using your preferred tools.

你能够用上述技术自己主动备份、移动、恢复測试。

Next steps

Now we've learned a bit more about how to use Docker we're going to see how to combine Docker with the services available on Docker Hub including
Automated Builds and private repositories.

Go to Working with Docker Hub.