Docker object labels
Labels are a mechanism for applying metadata to Docker objects, including:
- Images
- Containers
- Local daemons
- Volumes
- Networks
- Swarm nodes
- Swarm services
You can use labels to organize your images, record licensing information, annotate relationships between containers, volumes, and networks, or in any way that makes sense for your business or application.
Label keys and values
A label is a key-value pair, stored as a string. You can specify multiple labels for an object, but each key must be unique within an object. If the same key is given multiple values, the most-recently-written value overwrites all previous values.
Key format recommendations
A label key is the left-hand side of the key-value pair. Keys are alphanumeric
strings which may contain periods (.), underscores (_), slashes (/), and hyphens (-). Most Docker users use
images created by other organizations, and the following guidelines help to
prevent inadvertent duplication of labels across objects, especially if you plan
to use labels as a mechanism for automation.
Authors of third-party tools should prefix each label key with the reverse DNS notation of a domain they own, such as
com.example.some-label.Don't use a domain in your label key without the domain owner's permission.
The
com.docker.*,io.docker.*, andorg.dockerproject.*namespaces are reserved by Docker for internal use.Label keys should begin and end with a lower-case letter and should only contain lower-case alphanumeric characters, the period character (
.), and the hyphen character (-). Consecutive periods or hyphens aren't allowed.The period character (
.) separates namespace "fields". Label keys without namespaces are reserved for CLI use, allowing users of the CLI to interactively label Docker objects using shorter typing-friendly strings.
These guidelines aren't currently enforced and additional guidelines may apply to specific use cases.
Value guidelines
Label values can contain any data type that can be represented as a string,
including (but not limited to) JSON, XML, CSV, or YAML. The only requirement is
that the value be serialized to a string first, using a mechanism specific to
the type of structure. For instance, to serialize JSON into a string, you might
use the JSON.stringify() JavaScript method.
Since Docker doesn't deserialize the value, you can't treat a JSON or XML document as a nested structure when querying or filtering by label value unless you build this functionality into third-party tooling.
Manage labels on objects
Each type of object with support for labels has mechanisms for adding and managing them and using them as they relate to that type of object.
Labels on images, containers, local daemons, volumes, and networks are static for the lifetime of the object. To change these labels you must recreate the object. Labels on Swarm nodes and services can be updated dynamically.
Images
Add labels to images using the
LABEL instruction in a Dockerfile:
LABEL com.example.version="1.0"
LABEL com.example.description="Web application"You can also set labels at build time with the --label flag, without needing
a LABEL instruction in the Dockerfile:
$ docker build --label "com.example.version=1.0" -t myapp .
Inspect labels on an image using docker inspect:
$ docker inspect --format='{{json .Config.Labels}}' myapp
Filter images by label with
docker image ls --filter:
$ docker image ls --filter "label=com.example.version"
Containers
Override or add labels when starting a container with
docker run --label:
$ docker run --label "com.example.env=prod" myapp
Inspect labels on a container:
$ docker inspect --format='{{json .Config.Labels}}' mycontainer
Filter containers by label with
docker container ls --filter:
$ docker container ls --filter "label=com.example.env=prod"
Local Docker daemons
Add labels to the Docker daemon by passing --label flags when starting
dockerd, or by setting "labels" in the
daemon configuration file:
{
"labels": ["com.example.environment=production"]
}View daemon labels with docker system info.
Volumes
Add labels when creating a volume:
$ docker volume create --label "com.example.purpose=database" myvolume
Inspect volume labels:
$ docker volume inspect myvolume --format='{{json .Labels}}'
Filter volumes by label with
docker volume ls --filter:
$ docker volume ls --filter "label=com.example.purpose"
Networks
Add labels when creating a network:
$ docker network create --label "com.example.purpose=frontend" mynetwork
Inspect network labels:
$ docker network inspect mynetwork --format='{{json .Labels}}'
Filter networks by label with
docker network ls --filter:
$ docker network ls --filter "label=com.example.purpose"