--- description: | The `docker` Packer builder builds Docker images using Docker. The builder starts a Docker container, runs provisioners within this container, then exports the container for reuse or commits the image. layout: docs page_title: Docker Builder ... # Docker Builder Type: `docker` The `docker` Packer builder builds [Docker](http://www.docker.io) images using Docker. The builder starts a Docker container, runs provisioners within this container, then exports the container for reuse or commits the image. Packer builds Docker containers *without* the use of [Dockerfiles](https://docs.docker.com/reference/builder/). By not using Dockerfiles, Packer is able to provision containers with portable scripts or configuration management systems that are not tied to Docker in any way. It also has a simpler mental model: you provision containers much the same way you provision a normal virtualized or dedicated server. For more information, read the section on [Dockerfiles](#toc_8). The Docker builder must run on a machine that has Docker installed. Therefore the builder only works on machines that support Docker (modern Linux machines). If you want to use Packer to build Docker containers on another platform, use [Vagrant](http://www.vagrantup.com) to start a Linux environment, then run Packer within that environment. ## Basic Example: Export Below is a fully functioning example. It doesn't do anything useful, since no provisioners are defined, but it will effectively repackage an image. ``` {.javascript} { "type": "docker", "image": "ubuntu", "export_path": "image.tar" } ``` ## Basic Example: Commit Below is another example, the same as above but instead of exporting the running container, this one commits the container to an image. The image can then be more easily tagged, pushed, etc. ``` {.javascript} { "type": "docker", "image": "ubuntu", "commit": true } ``` ## Configuration Reference Configuration options are organized below into two categories: required and optional. Within each category, the available options are alphabetized and described. In addition to the options listed here, a [communicator](/docs/templates/communicator.html) can be configured for this builder. ### Required: You must specify (only) one of `commit`, `discard`, or `export_path`. - `commit` (boolean) - If true, the container will be committed to an image rather than exported. - `discard` (boolean) - Throw away the container when the build is complete. This is useful for the [artifice post-processor](https://packer.io/docs/post-processors/artifice.html). - `export_path` (string) - The path where the final container will be exported as a tar file. - `image` (string) - The base image for the Docker container that will be started. This image will be pulled from the Docker registry if it doesn't already exist. ### Optional: - `login` (boolean) - Defaults to false. If true, the builder will login in order to pull the image. The builder only logs in for the duration of the pull. It always logs out afterwards. - `login_email` (string) - The email to use to authenticate to login. - `login_username` (string) - The username to use to authenticate to login. - `login_password` (string) - The password to use to authenticate to login. - `login_server` (string) - The server address to login to. - `pull` (boolean) - If true, the configured image will be pulled using `docker pull` prior to use. Otherwise, it is assumed the image already exists and can be used. This defaults to true if not set. - `run_command` (array of strings) - An array of arguments to pass to `docker run` in order to run the container. By default this is set to `["-d", "-i", "-t", "{{.Image}}", "/bin/bash"]`. As you can see, you have a couple template variables to customize, as well. - `volumes` (map of strings to strings) - A mapping of additional volumes to mount into this container. The key of the object is the host path, the value is the container path. ## Using the Artifact: Export Once the tar artifact has been generated, you will likely want to import, tag, and push it to a container repository. Packer can do this for you automatically with the [docker-import](/docs/post-processors/docker-import.html) and [docker-push](/docs/post-processors/docker-push.html) post-processors. **Note:** This section is covering how to use an artifact that has been *exported*. More specifically, if you set `export_path` in your configuration. If you set `commit`, see the next section. The example below shows a full configuration that would import and push the created image. This is accomplished using a sequence definition (a collection of post-processors that are treated as as single pipeline, see [Post-Processors](/docs/templates/post-processors.html) for more information): ``` {.javascript} { "post-processors": [ [ { "type": "docker-import", "repository": "mitchellh/packer", "tag": "0.7" }, "docker-push" ] ] } ``` In the above example, the result of each builder is passed through the defined sequence of post-processors starting first with the `docker-import` post-processor which will import the artifact as a docker image. The resulting docker image is then passed on to the `docker-push` post-processor which handles pushing the image to a container repository. If you want to do this manually, however, perhaps from a script, you can import the image using the process below: ``` {.text} $ docker import - registry.mydomain.com/mycontainer:latest < artifact.tar ``` You can then add additional tags and push the image as usual with `docker tag` and `docker push`, respectively. ## Using the Artifact: Committed If you committed your container to an image, you probably want to tag, save, push, etc. Packer can do this automatically for you. An example is shown below which tags and pushes an image. This is accomplished using a sequence definition (a collection of post-processors that are treated as as single pipeline, see [Post-Processors](/docs/templates/post-processors.html) for more information): ``` {.javascript} { "post-processors": [ [ { "type": "docker-tag", "repository": "mitchellh/packer", "tag": "0.7" }, "docker-push" ] ] } ``` In the above example, the result of each builder is passed through the defined sequence of post-processors starting first with the `docker-tag` post-processor which tags the committed image with the supplied repository and tag information. Once tagged, the resulting artifact is then passed on to the `docker-push` post-processor which handles pushing the image to a container repository. Going a step further, if you wanted to tag and push an image to multiple container repositories, this could be accomplished by defining two, nearly-identical sequence definitions, as demonstrated by the example below: ``` {.javascript} { "post-processors": [ [ { "type": "docker-tag", "repository": "mitchellh/packer", "tag": "0.7" }, "docker-push" ], [ { "type": "docker-tag", "repository": "hashicorp/packer", "tag": "0.7" }, "docker-push" ] ] } ``` ## Dockerfiles This builder allows you to build Docker images *without* Dockerfiles. With this builder, you can repeatably create Docker images without the use of a Dockerfile. You don't need to know the syntax or semantics of Dockerfiles. Instead, you can just provide shell scripts, Chef recipes, Puppet manifests, etc. to provision your Docker container just like you would a regular virtualized or dedicated machine. While Docker has many features, Packer views Docker simply as an LXC container runner. To that end, Packer is able to repeatably build these LXC containers using portable provisioning scripts. Dockerfiles have some additional features that Packer doesn't support which are able to be worked around. Many of these features will be automated by Packer in the future: - Dockerfiles will snapshot the container at each step, allowing you to go back to any step in the history of building. Packer doesn't do this yet, but inter-step snapshotting is on the way. - Dockerfiles can contain information such as exposed ports, shared volumes, and other metadata. Packer builds a raw Docker container image that has none of this metadata. You can pass in much of this metadata at runtime with `docker run`.