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134 lines
3.8 KiB
ReStructuredText
134 lines
3.8 KiB
ReStructuredText
Getting Up and Running with Docker
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==================================
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.. index:: Docker
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The steps below will get you up and running with a local development environment.
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All of these commands assume you are in the root of your generated project.
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Prerequisites
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--------------
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If you don't already have these installed, get them all by installing `Docker Toolbox`_.
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* docker
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* docker-machine
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* docker-compose
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* virtualbox
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.. _`Docker Toolbox`: https://github.com/docker/toolbox/releases
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Create the Machine (Optional)
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-------------------------------
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On Ubuntu you have native Docker, so you don't need to create a VM with
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docker-machine to use it.
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However, on Mac/Windows/other systems without native Docker, you'll want to
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start by creating a VM with docker-machine::
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$ docker-machine create --driver virtualbox dev1
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**Note:** If you want to have more than one docker development environment, then
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name them accordingly. Instead of 'dev1' you might have 'dev2', 'myproject',
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'djangopackages', et al.
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Get the IP Address
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--------------------
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Once your machine is up and running, run this::
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$ docker-machine ip dev1
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123.456.789.012
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This is also the IP address where the Django project will be served from.
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Saving changes
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--------------
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If you are using OS X or Windows, you need to create a /data partition inside the
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virtual machine that runs the docker deamon in order make all changes persistent.
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If you don't do that your /data directory will get wiped out on every reboot.
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To create a persistent folder, log into the virtual machine by running::
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$ docker-machine ssh dev1
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$ sudo su
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$ echo 'ln -sfn /mnt/sda1/data /data' >> /var/lib/boot2docker/bootlocal.sh
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In case you are wondering why you can't use a host volume to keep the files on
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your mac: As of `boot2docker` 1.7 you'll run into permission problems with mounted
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host volumes if the container creates his own user and chown's the directories
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on the volume. Postgres is doing that, so we need this quick fix to ensure that
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all development data persists.
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Build the Stack
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---------------
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This can take a while, especially the first time you run this particular command
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on your development system::
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$ docker-compose -f dev.yml build
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If you want to build the production environment you don't have to pass an argument -f, it will automatically use docker-compose.yml.
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Boot the System
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---------------
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This brings up both Django and PostgreSQL.
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The first time it is run it might take a while to get started, but subsequent
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runs will occur quickly.
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Open a terminal at the project root and run the following for local development::
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$ docker-compose -f dev.yml up
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You can also set the environment variable ``COMPOSE_FILE`` pointing to ``dev.yml`` like this::
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$ export COMPOSE_FILE=dev.yml
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And then run::
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$ docker-compose up
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Running management commands
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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As with any shell command that we wish to run in our container, this is done
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using the ``docker-compose run`` command.
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To migrate your app and to create a superuser, run::
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$ docker-compose run django python manage.py migrate
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$ docker-compose run django python manage.py createsuperuser
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Here we specify the ``django`` container as the location to run our management commands.
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Production Mode
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~~~~~~~~~~~~~~~~
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Instead of using `dev.yml`, you would use `docker-compose.yml`.
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Other Useful Tips
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------------------
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Make a machine the active unit
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~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
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This tells our computer that all future commands are specifically for the dev1 machine.
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Using the ``eval`` command we can switch machines as needed.
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::
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$ eval "$(docker-machine env dev1)"
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Detached Mode
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~~~~~~~~~~~~~
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If you want to run the stack in detached mode (in the background), use the ``-d`` argument:
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::
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$ docker-compose up -d
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