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https://github.com/moby/moby.git
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Updating with Sven's comments and other tweaks
Signed-off-by: Mary Anthony <mary@docker.com>
This commit is contained in:
parent
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8 changed files with 87 additions and 77 deletions
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@ -159,8 +159,12 @@ A Dockerfile is similar to a Makefile.
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LABEL "com.example.vendor"="ACME Incorporated"
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```
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An image can have more than one label. To specify multiple labels, separate each
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key-value pair by a space.
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An image can have more than one label. To specify multiple labels, separate
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each key-value pair by a space.
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Labels are additive including `LABEL`s in `FROM` images. As the system
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encounters and then applies a new label, new `key`s override any previous
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labels with identical keys.
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To display an image's labels, use the `docker inspect` command.
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@ -290,20 +294,22 @@ A Dockerfile is similar to a Makefile.
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**ONBUILD**
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-- `ONBUILD [INSTRUCTION]`
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The **ONBUILD** instruction adds a trigger instruction to the image, which is
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executed at a later time, when the image is used as the base for another
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build. The trigger is executed in the context of the downstream build, as
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if it had been inserted immediately after the **FROM** instruction in the
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downstream Dockerfile. Any build instruction can be registered as a
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trigger. This is useful if you are building an image to be
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used as a base for building other images, for example an application build
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environment or a daemon to be customized with a user-specific
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configuration. For example, if your image is a reusable python
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application builder, it requires application source code to be
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added in a particular directory, and might require a build script
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to be called after that. You can't just call **ADD** and **RUN** now, because
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you don't yet have access to the application source code, and it
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is different for each application build.
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The **ONBUILD** instruction adds a trigger instruction to an image. The
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trigger is executed at a later time, when the image is used as the base for
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another build. Docker executes the trigger in the context of the downstream
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build, as if the trigger existed immediately after the **FROM** instruction in
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the downstream Dockerfile.
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You can register any build instruction as a trigger. A trigger is useful if
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you are defining an image to use as a base for building other images. For
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example, if you are defining an application build environment or a daemon that
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is customized with a user-specific configuration.
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Consider an image intended as a reusable python application builder. It must
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add application source code to a particular directory, and might need a build
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script called after that. You can't just call **ADD** and **RUN** now, because
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you don't yet have access to the application source code, and it is different
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for each application build.
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-- Providing application developers with a boilerplate Dockerfile to copy-paste
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into their application is inefficient, error-prone, and
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@ -22,7 +22,7 @@ Using an existing container's name or ID you can create a new image.
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**-c** , **--change**=[]
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Apply specified Dockerfile instructions while committing the image
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Supported Dockerfile instructions: CMD, ENTRYPOINT, ENV, EXPOSE, ONBUILD, USER, VOLUME, WORKDIR
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Supported Dockerfile instructions: ADD|CMD|ENTRYPOINT|ENV|EXPOSE|FROM|MAINTAINER|RUN|USER|LABEL|VOLUME|WORKDIR|COPY
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**--help**
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Print usage statement
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@ -105,10 +105,10 @@ IMAGE [COMMAND] [ARG...]
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'host': use the host shared memory,semaphores and message queues inside the container. Note: the host mode gives the container full access to local shared memory and is therefore considered insecure.
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**-l**, **--label**=[]
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Set metadata on the container (e.g., --label=com.example.key=value)
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Adds metadata to a container (e.g., --label=com.example.key=value)
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**--label-file**=[]
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Read in a file of labels (EOL delimited)
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Read labels from a file. Delimit each label with an EOL.
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**--link**=[]
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Add link to another container in the form of <name or id>:alias
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@ -13,7 +13,7 @@ URL|- [REPOSITORY[:TAG]]
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# OPTIONS
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**-c**, **--change**=[]
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Apply specified Dockerfile instructions while importing the image
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Supported Dockerfile instructions: CMD, ENTRYPOINT, ENV, EXPOSE, ONBUILD, USER, VOLUME, WORKDIR
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Supported Dockerfile instructions: `ADD`|`CMD`|`ENTRYPOINT`|`ENV`|`EXPOSE`|`FROM`|`MAINTAINER`|`RUN`|`USER`|`LABEL`|`VOLUME`|`WORKDIR`|`COPY`
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# DESCRIPTION
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Create a new filesystem image from the contents of a tarball (`.tar`,
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@ -59,7 +59,7 @@ pages:
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- ['userguide/dockerimages.md', 'User Guide', 'Working with Docker Images' ]
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- ['userguide/dockerlinks.md', 'User Guide', 'Linking containers together' ]
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- ['userguide/dockervolumes.md', 'User Guide', 'Managing data in containers' ]
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- ['userguide/labels-custom-metadata.md', 'User Guide', 'Labels - custom metadata in Docker' ]
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- ['userguide/labels-custom-metadata.md', 'User Guide', 'Apply custom metadata' ]
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- ['userguide/dockerrepos.md', 'User Guide', 'Working with Docker Hub' ]
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- ['userguide/level1.md', '**HIDDEN**' ]
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- ['userguide/level2.md', '**HIDDEN**' ]
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@ -347,6 +347,15 @@ key-value pair by an EOL.
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LABEL description="This text illustrates \
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that label-values can span multiple lines."
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Docker recommends combining labels in a single `LABEL` instruction where
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possible. Each `LABEL` instruction produces a new layer which can result in an
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inefficient image if you use many labels. This example results in four image
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layers.
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Labels are additive including `LABEL`s in `FROM` images. As the system
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encounters and then applies a new label, new `key`s override any previous labels
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with identical keys.
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To view an image's labels, use the `docker inspect` command.
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## EXPOSE
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@ -749,8 +749,7 @@ If this behavior is undesired, set the 'p' option to false.
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The `--change` option will apply `Dockerfile` instructions to the image
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that is created.
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Supported `Dockerfile` instructions: `CMD`, `ENTRYPOINT`, `ENV`, `EXPOSE`,
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`ONBUILD`, `USER`, `VOLUME`, `WORKDIR`
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Supported `Dockerfile` instructions: `ADD`|`CMD`|`ENTRYPOINT`|`ENV`|`EXPOSE`|`FROM`|`MAINTAINER`|`RUN`|`USER`|`LABEL`|`VOLUME`|`WORKDIR`|`COPY`
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#### Commit a container
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$ sudo docker run -l my-label --label com.example.foo=bar ubuntu bash
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The `my-label` key doesn't specify so the label defaults to an empty
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string(`""`). To add multiple labels, repeat the label flag (`-l` or
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`--label`).
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The `my-label` key doesn't specify a value so the label defaults to an empty
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string(`""`). To add multiple labels, repeat the label flag (`-l` or `--label`).
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The `key=value` must be unique. If you specify the same key multiple times
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with different values, each subsequent value overwrites the previous. Docker
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applies the last `key=value` you supply.
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The `key=value` must be unique to avoid overwriting the label value. If you
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specify labels with identical keys but different values, each subsequent value
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overwrites the previous. Docker uses the last `key=value` you supply.
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Use the `--label-file` flag to load multiple labels from a file. Delimit each
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label in the file with an EOL mark. The example below loads labels from a
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labels file in the current directory;
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labels file in the current directory:
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$ sudo docker run --label-file ./labels ubuntu bash
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The label-file format is similar to the format for loading environment variables
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(see `--env-file` above). The following example illustrates a label-file format;
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The label-file format is similar to the format for loading environment
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variables. (Unlike environment variables, labels are not visislbe to processes
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running inside a container.) The following example illustrates a label-file
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format:
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com.example.label1="a label"
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com.example.label2=another\ label
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com.example.label3
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You can load multiple label-files by supplying the `--label-file` flag multiple
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times.
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You can load multiple label-files by supplying multiple `--label-file` flags.
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For additional information on working with labels, see
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[*Labels - custom metadata in Docker*](/userguide/labels-custom-metadata/) in
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the Docker User Guide.
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For additional information on working with labels, see [*Labels - custom
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metadata in Docker*](/userguide/labels-custom-metadata/) in the Docker User
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Guide.
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$ sudo docker run --link /redis:redis --name console ubuntu bash
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page_title: Labels - custom metadata in Docker
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page_title: Apply custom metadata
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page_description: Learn how to work with custom metadata in Docker, using labels.
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page_keywords: Usage, user guide, labels, metadata, docker, documentation, examples, annotating
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## Labels - custom metadata in Docker
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# Apply custom metadata
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You can add metadata to your images, containers, and daemons via
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labels. Metadata can serve a wide range of uses. Use them to add notes or
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You can apply metadata to your images, containers, or daemons via
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labels. Metadata can serve a wide range of uses. Use labels to add notes or
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licensing information to an image or to identify a host.
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A label is a `<key>` / `<value>` pair. Docker stores the values as *strings*.
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You can specify multiple labels but each `<key>` / `<value>` must be unique. If
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you specify the same `key` multiple times with different values, each subsequent
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value overwrites the previous. Docker applies the last `key=value` you supply.
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A label is a `<key>` / `<value>` pair. Docker stores the label values as
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*strings*. You can specify multiple labels but each `<key>` / `<value>` must be
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unique to avoid overwriting. If you specify the same `key` several times but with
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different values, newer labels overwrite previous labels. Docker uses
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the last `key=value` you supply.
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>**note:** Support for daemon-labels was added in Docker 1.4.1. Labels on
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>**Note:** Support for daemon-labels was added in Docker 1.4.1. Labels on
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>containers and images are new in Docker 1.6.0
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### Naming your labels - namespaces
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## Label keys (namespaces)
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Docker puts no hard restrictions on the label `key` you. However, labels can
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conflict. For example, you can categorize your images by using a chip "architecture"
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label:
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Docker puts no hard restrictions on the label `key` you. However, labels with
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simple keys can conflict. For example, you can categorize your images by using a
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chip "architecture" label:
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LABEL architecture="amd64"
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LABEL architecture="Art Nouveau"
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To prevent such conflicts, Docker namespaces label keys using a reverse domain
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notation. This notation has the following guidelines:
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To prevent naming conflicts, Docker namespaces label keys using a reverse domain
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notation. Use the following guidelines to name your keys:
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- All (third-party) tools should prefix their keys with the
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reverse DNS notation of a domain controlled by the author. For
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- Keys may not contain consecutive dots or dashes.
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- Keys *without* namespace (dots) are reserved for CLI use. This allows end-
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users to add metadata to their containers and images, without having to type
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users to add metadata to their containers and images without having to type
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cumbersome namespaces on the command-line.
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These are guidelines and are not enforced. Docker does not *enforce* them.
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Failing following these guidelines can result in conflicting labels. If you're
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building a tool that uses labels, you *should* use namespaces for your label keys.
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These are guidelines and Docker does not *enforce* them. Failing following these
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guidelines can result in conflicting labels. If you're building a tool that uses
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labels, you *should* use namespaces for your label keys.
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### Storing structured data in labels
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## Store structured data in labels
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Label values can contain any data type as long as the value can be stored as a
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string. For example, consider this JSON:
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Label values can contain any data type that can be stored as a string. For
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example, consider this JSON:
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{
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LABEL com.example.image-specs="{\"Description\":\"A containerized foobar\",\"Usage\":\"docker run --rm example\\/foobar [args]\",\"License\":\"GPL\",\"Version\":\"0.0.1-beta\",\"aBoolean\":true,\"aNumber\":0.01234,\"aNestedArray\":[\"a\",\"b\",\"c\"]}"
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While it is *possible* to store structured data in label values, Docker treats this
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data as a 'regular' string. This means that Docker doesn't offer ways to query
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(filter) based on nested properties.
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If your tool needs to filter on nested properties, the tool itself should
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implement this.
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While it is *possible* to store structured data in label values, Docker treats
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this data as a 'regular' string. This means that Docker doesn't offer ways to
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query (filter) based on nested properties. If your tool needs to filter on
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nested properties, the tool itself should implement this.
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### Adding labels to images; the `LABEL` instruction
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## Add labels to images; the `LABEL` instruction
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Adding labels to an image:
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LABEL com.example.release-date="2015-02-12"
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The `LABEL` instruction supports setting multiple labels in a single instruction
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using this notation;
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using this notation:
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LABEL com.example.version="0.0.1-beta" com.example.release-date="2015-02-12"
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com.example.version="0.0.1-beta" \
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com.example.release-date="2015-02-12"
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Docker recommends combining labels in a single `LABEL` instruction instead of
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using a `LABEL` instruction for each label. Each instruction in a Dockerfile
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produces a new layer that can result in an inefficient image if you use many
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labels.
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Docker recommends you add multiple labels in a single `LABEL` instruction. Using
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individual instructions for each label can result in an inefficient image. This
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is because each `LABEL` instruction in a Dockerfile produces a new IMAGE layer.
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You can view the labels via the `docker inspect` command:
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{"Vendor":"ACME Incorporated","com.example.is-beta":"","com.example.version":"0.0.1-beta","com.example.release-date":"2015-02-12"}
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## Query labels
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### Querying labels
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Besides storing metadata, you can filter images and labels by label. To list all
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running containers that have a `com.example.is-beta` label:
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Besides storing metadata, you can filter images and containers by label. To list all
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running containers that the `com.example.is-beta` label:
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# List all running containers that have a `com.example.is-beta` label
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$ docker ps --filter "label=com.example.is-beta"
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$ docker images --filter "label=vendor=ACME"
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### Daemon labels
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## Daemon labels
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docker -d \
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