![]() A Volume will be mounted at a specific location in the file system inside the container and writes to that location will be written to the Volume. A container will always have a writeable layer even when a Volume is defined. In Figure 2, we have a container, a writeable layer and a volume. This enables you to decouple your application from its state to the point where you can simply throw away the container and replace it with a new container image start up your application and point it to your data. The primary benefit of using Docker Volumes is that they have a lifecycle that’s independent of a container. If we delete this container, any data written to the writeable layer will be deleted too.įigure 1: A container and it’s writable layerĪ Docker Volume is a Docker managed resource that is mapped into a defined point in the filesystem inside the container. The application inside the container sees this has a single file system. In Figure 1, you can see a container image and it’s writeable layer. If you delete the container, you delete the writeable layer and any data that was in there. Luckily Docker containers give us a way to decouple the container and its data. The primary issue with this is that the writeable layer has the lifecycle of the container. The writable layer plus the read-only container image are brought together by the container runtime and presenting to the processes running inside the container as a single file system. When an application changes data inside a running container writes are written to a writable layer. The Need for Data Persistency in ContainersĪ container image is read-only. ![]() And the third post on mapping base OS directories directly into containers is here. ![]() The second post on where Docker actually stores your data is here. This is the first post in a three part series on Persisting SQL Server Data in Docker Containers. Let’s talk about running SQL Server in Containers using Docker Volumes on a Mac What’s the number one thing a data professional wants to do with their data…keep it around. ![]()
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