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Playbooks
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=========
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Playbooks are a completely different way to use ansible and are
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particularly awesome. They are the basis for a really simple
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configuration management and multi-machine deployment system,
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unlike any that already exist, and
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one that is very well suited to deploying complex applications.
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Playbooks can declare configurations, but they can also orchestrate steps of
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any manual ordered process, even as different steps must bounce back and forth
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between sets of machines in particular orders. They can launch tasks
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synchronously or asynchronously.
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While you might run the main /usr/bin/ansible program for ad-hoc
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tasks, playbooks are more likely to be kept in source control and used
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to push out your configuration or assure the configurations of your
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remote systems are in spec.
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Let's dive in and see how they work. As you go, you may wish to open
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the `github examples directory <https://github.com/ansible/ansible/tree/master/examples/playbooks>`_ in
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another tab, so you can apply the theory to what things look like in practice.
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Playbook Example
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````````````````
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Playbooks are expressed in YAML format and have a minimum of syntax.
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Each playbook is composed of one or more 'plays' in a list.
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By composing a playbook of multiple 'plays', it is possible to
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orchestrate multi-machine deployments, running certain steps on all
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machines in the webservers group, then certain steps on the database
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server group, then more commands back on the webservers group, etc.
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For starters, here's a playbook that contains just one play::
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---
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- hosts: webservers
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vars:
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http_port: 80
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max_clients: 200
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user: root
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tasks:
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- name: ensure apache is at the latest version
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action: yum pkg=httpd state=latest
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- name: write the apache config file
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action: template src=/srv/httpd.j2 dest=/etc/httpd.conf
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notify:
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- restart apache
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- name: ensure apache is running
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action: service name=httpd state=started
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handlers:
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- name: restart apache
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action: service name=apache state=restarted
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Below, we'll break down what the various features of the playbook language are.
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Basics
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``````
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Hosts and Users
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+++++++++++++++
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For each play in a playbook, you get to choose which machines in your infrastructure
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to target and what remote user to complete the steps (called tasks) as.
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The `hosts` line is a list of one or more groups or host patterns,
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separated by colons, as described in the :ref:`patterns`
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documentation. The `user` is just the name of the user account::
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---
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- hosts: webservers
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user: root
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Support for running things from sudo is also available::
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---
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- hosts: webservers
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user: yourname
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sudo: True
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If you need to specify a password to sudo, run `ansible-playbook` with `--ask-sudo-pass` (`-K`).
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If you run a sudo playbook and the playbook seems to hang, it's probably stuck at the sudo prompt.
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Just `Control-C` to kill it and run it again with `-K`.
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Vars section
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++++++++++++
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The `vars` section contains a list of variables and values that can be used in the plays, like this::
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---
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- hosts: webservers
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users: root
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vars:
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http_port: 80
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van_halen_port: 5150
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other: 'magic'
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These variables can be used later in the playbook, or on the managed system (in templates), just like this::
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{{ varname }}
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Within playbooks themselves, but not within templates on the remote machines, it's also legal
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to use nicer shorthand like this::
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$varname
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Further, if there are discovered variables about the system (say, if
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facter or ohai were installed) these variables bubble up back into the
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playbook, and can be used on each system just like explicitly set
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variables.
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Facter variables are prefixed with ``facter_`` and Ohai
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variables are prefixed with ``ohai_``. So for instance, if I wanted
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to write the hostname into the /etc/motd file, I could say::
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- name: write the motd
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action: template src=/srv/templates/motd.j2 dest=/etc/motd
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And in /srv/templates/motd.j2::
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You are logged into {{ facter_hostname }}
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But we're getting ahead of ourselves. Let's talk about tasks.
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Tasks list
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++++++++++
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Each play contains a list of tasks. Tasks are executed in order, one
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at a time, against all machines matched by the host pattern,
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before moving on to the next task.
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Hosts with failed tasks are taken out of the rotation for the entire
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playbook. If things fail, simply correct the playbook file and rerun.
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The goal of each task is to execute a module, with very specific arguments.
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Variables, as mentioned above, can be used in arguments to modules.
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Modules other than `command` are 'idempotent', meaning if you run them
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again, they will make the changes they are told to make to bring the
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system to the desired state. This makes it very safe to rerun
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the same playbook multiple times. They won't change things
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unless they have to change things.
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Command will actually rerun the same command again,
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which is totally ok if the command is something like
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'chmod' or 'setsebool', etc.
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Every task must have a name, which is included in the output from
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running the playbook. This is output for humans, so it is
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nice to have reasonably good descriptions of each task step.
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Here is what a basic task looks like, as with most modules,
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the service module takes key=value arguments::
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tasks:
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- name: make sure apache is running
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action: service name=httpd state=running
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The command module is the one module that just takes a list
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of arguments, and doesn't use the key=value form. This makes
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it work just like you would expect. Simple::
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tasks:
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- name: disable selinux
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action: command /sbin/setenforce 0
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Variables can be used in action lines. Suppose you defined
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a variable called 'vhost' in the 'vars' section, you could do this::
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tasks:
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- name: make a directory
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action: template src=somefile.j2 dest=/etc/httpd/conf.d/$vhost
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Those same variables are usable in templates, which we'll get to later.
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Running Operations On Change
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````````````````````````````
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As we've mentioned, nearly all modules are written to be 'idempotent' and can relay when
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they have affected a change on the remote system. Playbooks recognize this and
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have a basic event system that can be used to respond to change.
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These 'notify' actions are triggered at the end of each 'play' in a playbook, and
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trigger only once each. For instance, multiple resources may indicate
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that apache needs to be restarted, but apache will only be bounced once.
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Here's an example of restarting two services when the contents of a file
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change, but only if the file changes::
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- name: template configuration file
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action: template src=template.j2 dest=/etc/foo.conf
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notify:
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- restart memcached
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- restart apache
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The things listed in the 'notify' section of a task are called
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handlers.
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Handlers are lists of tasks, not really any different from regular
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tasks, that are referenced by name. Handlers are what notifiers
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notify. If nothing notifies a handler, it will not run. Regardless
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of how many things notify a handler, it will run only once, after all
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of the tasks complete in a particular play.
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Here's an example handlers section::
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handlers:
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- name: restart memcached
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action: service name=memcached state=restarted
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- name: restart apache
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action: service name=apache state=restarted
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Handlers are best used to restart services and trigger reboots. You probably
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won't need them for much else.
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.. note::
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Notify handlers are always run in the order written.
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Power Tricks
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````````````
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Now that you have the basics down, let's learn some more advanced
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things you can do with playbooks.
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Local Playbooks
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+++++++++++++++
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It may be useful to use a playbook locally, rather than by connecting over SSH. This can be useful
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for assuring the configuration of a system by putting a playbook on a crontab. This may also be used
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to run a playbook inside a OS installer, such as an Anaconda kickstart.
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To run an entire playbook locally, just set the "hosts:" line to "hosts:127.0.0.1" and then run the playbook like so::
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playbook playbook.yml --connection=local
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Alternatively, a local connection can be used in a single playbook play, even if other plays in the playbook
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use the default remote connection type::
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hosts: 127.0.0.1
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connection: local
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External Variables And Prompted or Sensitive Data
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+++++++++++++++++++++++++++++++++++++++++++++++++
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It's a great idea to keep your playbooks under source control, but
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you may wish to make the playbook source public while keeping certain
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important variables private. Similarly, sometimes you may just
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want to keep certain information in different files, away from
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the main playbook.
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You can do this by using an external variables file, or files, just like this::
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---
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- hosts: all
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user: root
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vars:
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favcolor: blue
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vars_files:
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- /vars/external_vars.yml
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tasks:
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- name: this is just a placeholder
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action: command /bin/echo foo
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This removes the risk of sharing sensitive data with others when
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sharing your playbook source with them.
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The contents of each variables file is a simple YAML dictionary, like this::
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---
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# in the above example, this would be vars/external_vars.yml
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somevar: somevalue
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password: magic
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Alternatively, you may wish to prompt the user for certain input, and can
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do so with the similarly named 'vars_prompt' section. This has uses
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beyond security, for instance, you may use the same playbook for all
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software releases and would prompt for a particular release version
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in a push-script::
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---
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- hosts: all
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user: root
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vars:
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from: "camelot"
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vars_prompt:
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name: "what is your name?"
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quest: "what is your quest?"
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favcolor: "what is your favorite color?"
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There are full examples of both of these items in the github examples/playbooks directory.
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Conditional Execution
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+++++++++++++++++++++
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Sometimes you will want to skip a particular step on a particular host. This could be something
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as simple as not installing a certain package if the operating system is a particular version,
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or it could be something like performing some cleanup steps if a filesystem is getting full.
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This is easy to do in Ansible, with the `only_if` clause. This clause can be applied to any task,
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and allows usage of variables from anywhere in ansible, either denoted with `$dollar_sign_syntax` or
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`{{ braces_syntax }}` and then evaluates them with a Python expression. Don't panic -- it's actually
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pretty simple::
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vars:
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favcolor: blue
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is_favcolor_blue: "'$favcolor' == 'blue'"
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is_centos: "'$facter_operatingsystem' == 'CentOS'"
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tasks:
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- name: "shutdown if my favorite color is blue"
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action: command /sbin/shutdown -t now
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only_if: '$is_favcolor_blue'
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Variables from tools like `facter` and `ohai` can be used here, if installed. As a reminder,
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these variables are prefixed, so it's `$facter_operatingsystem`, not `$operatingsystem`. The only_if
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expression is actually a tiny small bit of Python, so be sure to quote variables and make something
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that evaluates to `True` or `False`. It is a good idea to use 'vars_files' instead of 'vars' to define
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all of your conditional expressions in a way that makes them very easy to reuse between plays
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and playbooks.
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Conditional Imports
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+++++++++++++++++++
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Sometimes you will want to do certain things differently in a playbook based on certain criteria.
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Having one playbook that works on multiple platforms and OS versions is a good example.
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As an example, the name of the Apache package may be different between CentOS and Debian,
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but it is easily handled with a minimum of syntax in an Ansible Playbook::
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---
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- hosts: all
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user: root
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vars_files:
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- "vars/common.yml"
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- [ "vars/$facter_operatingsystem.yml", "vars/os_defaults.yml" ]
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tasks:
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- name: make sure apache is running
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action: service name=$apache state=running
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As a reminder, the various YAML files contain just keys and values::
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---
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# for vars/CentOS.yml
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apache: httpd
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somethingelse: 42
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How does this work? If the operating system was 'CentOS', the first file Ansible would try to import
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would be 'vars/CentOS.yml', followed up by '/vars/os_defaults.yml' if that file
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did not exist. If no files in the list were found, an error would be raised.
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On Debian, it would instead first look towards 'vars/Debian.yml' instead of 'vars/CentOS.yml', before
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falling back on 'vars/os_defaults.yml'. Pretty simple.
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To use this conditional import feature, you'll need facter or ohai installed prior to running the playbook, but
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you can of course push this out with Ansible if you like::
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# for facter
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ansible -m yum -a "pkg=facter ensure=installed"
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ansible -m yum -a "pkg=ruby-json ensure=installed"
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# for ohai
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ansible -m yum -a "pkg=ohai ensure=installed"
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Ansible's approach to configuration -- seperating variables from tasks, keeps your playbooks
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from turning into arbitrary code with ugly nested ifs, conditionals, and so on - and results
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in more streamlined & auditable configuration rules -- especially because there are a
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minimum of decision points to track.
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Include Files And Reuse
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+++++++++++++++++++++++
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Suppose you want to reuse lists of tasks between plays or playbooks. You can use
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include files to do this.
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An include file simply contains a flat list of tasks, like so::
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---
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# possibly saved as tasks/foo.yml
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- name: placeholder foo
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action: command /bin/foo
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- name: placeholder bar
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action: command /bin/bar
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Include directives look like this::
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- tasks:
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- include: tasks/foo.yml
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Variables passed in can be used in the include files too. Assume a variable named 'user'. Using
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`jinja2` syntax, anywhere in the included file, you can say::
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{{ user }}
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I can also pass variables into includes directly. We might call this a 'parameterized include'.
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For instance, if deploying multiple wordpress instances, I could
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contain all of my wordpress tasks in a single wordpress.yml file, and use it like so::
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- tasks:
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- include: wordpress.yml user=timmy
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- include: wordpress.yml user=alice
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- include: wordpress.yml user=bob
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In addition to the explicitly passed in parameters, all variables from
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the vars section are also available for use here as well. Variables that bubble
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up from tools like facter and ohai are not usable here though -- but they ARE available for use
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inside 'action' lines and in templates.
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.. note::
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Include statements are only usable from the top level
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playbook file. This means includes can not include other
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includes.
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Includes can also be used in the 'handlers' section, for instance, if you
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want to define how to restart apache, you only have to do that once for all
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of your playbooks. You might make a notifiers.yaml that looked like::
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----
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# this might be in a file like handlers/handlers.yml
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- name: restart apache
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action: service name=apache state=restarted
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And in your main playbook file, just include it like so, at the bottom
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of a play::
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handlers:
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- include: handlers/handlers.yml
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You can mix in includes along with your regular non-included tasks and handlers.
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Note that you can not conditionally path the location to an include file, like you can
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with 'vars_files'. If you find yourself needing to do this, consider how you can
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restructure your playbook to be more class/role oriented.
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Using Includes To Assign Classes of Systems
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+++++++++++++++++++++++++++++++++++++++++++
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Include files are really powerful when used to reuse logic between playbooks. You
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could imagine a playbook describing your entire infrastructure like
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this, in a list of just a few plays::
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---
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- hosts: atlanta-webservers
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vars:
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datacenter: atlanta
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tasks:
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- include: tasks/base.yml
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- include: tasks/webservers.yml database=db.atlanta.com
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handlers:
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- include: handlers/common.yml
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- hosts: atlanta-dbservers
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vars:
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datacenter: atlanta
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tasks:
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- include: tasks/base.yml
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- include: tasks/dbservers.yml
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handlers:
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- include: handlers/common.yml
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There is one (or more) play defined for each group of systems, and
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each play maps each group to several includes. These includes represent
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'class definitions', telling the systems what they are supposed to do or be.
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In the above example, all hosts get the base configuration first and further
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customize it depending on what class or nature of machines they are.
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.. note::
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Playbooks do not always have to be declarative; you can do something
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similar to model a push process for a multi-tier web application. This is
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actually one of the things playbooks were invented to do.
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Asynchronous Actions and Polling
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++++++++++++++++++++++++++++++++
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By default tasks in playbooks block, meaning the connections stay open
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until the task is done on each node. If executing playbooks with
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a small parallelism value (aka `--forks`), you may wish that long
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running operations can go faster. The easiest way to do this is
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to kick them off all at once and then poll until they are done.
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You will also want to use asynchronous mode on very long running
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operations that might be subject to timeout.
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To launch a task asynchronously, specify its maximum runtime
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and how frequently you would like to poll for status. The default
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poll value is 10 seconds if you do not specify a value for `poll`::
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---
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- hosts: all
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user: root
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tasks:
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- name: simulate long running op (15 sec), wait for up to 45, poll every 5
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action: command /bin/sleep 15
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async: 45
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poll: 5
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.. note::
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There is no default for the async time limit. If you leave off the
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'async' keyword, the task runs synchronously, which is Ansible's
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default.
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Alternatively, if you do not need to wait on the task to complete, you may
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"fire and forget" by specifying a poll value of 0::
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---
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- hosts: all
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user: root
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tasks:
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- name: simulate long running op, allow to run for 45, fire and forget
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action: command /bin/sleep 15
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async: 45
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poll: 0
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.. note::
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You shouldn't "fire and forget" with operations that require
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exclusive locks, such as yum transactions, if you expect to run other
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commands later in the playbook against those same resources.
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.. note::
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Using a higher value for `--forks` will result in kicking off asynchronous
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tasks even faster. This also increases the efficiency of polling.
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Executing A Playbook
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````````````````````
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Now that you've learned playbook syntax, how do you run a playbook? It's simple.
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Let's run a playbook using a parallelism level of 10::
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ansible-playbook playbook.yml -f 10
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.. seealso::
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:doc:`YAMLSyntax`
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Learn about YAML syntax
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:doc:`modules`
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Learn about available modules
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:doc:`moduledev`
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Learn how to extend Ansible by writing your own modules
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:doc:`patterns`
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Learn about how to select hosts
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`Github examples directory <https://github.com/ansible/ansible/tree/master/examples/playbooks>`_
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Complete playbook files from the github project source
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`Mailing List <http://groups.google.com/group/ansible-project>`_
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Questions? Help? Ideas? Stop by the list on Google Groups
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