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ReStructuredText
317 lines
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Delegation, Rolling Updates, and Local Actions
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==============================================
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.. contents:: Topics
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Being designed for multi-tier deployments since the beginning, Ansible is great at doing things on one host on behalf of another, or doing local steps with reference to some remote hosts.
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This in particular is very applicable when setting up continuous deployment infrastructure or zero downtime rolling updates, where you might be talking with load balancers or monitoring systems.
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Additional features allow for tuning the orders in which things complete, and assigning a batch window size for how many machines to process at once during a rolling update.
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This section covers all of these features. For examples of these items in use, `please see the ansible-examples repository <https://github.com/ansible/ansible-examples/>`_. There are quite a few examples of zero-downtime update procedures for different kinds of applications.
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You should also consult the :doc:`modules` section, various modules like 'ec2_elb', 'nagios', and 'bigip_pool', and 'netscaler' dovetail neatly with the concepts mentioned here.
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You'll also want to read up on :doc:`playbooks_reuse_roles`, as the 'pre_task' and 'post_task' concepts are the places where you would typically call these modules.
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Be aware that certain tasks are impossible to delegate, i.e. `include`, `add_host`, `debug`, etc as they always execute on the controller.
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.. _rolling_update_batch_size:
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Rolling Update Batch Size
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`````````````````````````
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By default, Ansible will try to manage all of the machines referenced in a play in parallel. For a rolling update use case, you can define how many hosts Ansible should manage at a single time by using the ``serial`` keyword::
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- name: test play
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hosts: webservers
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serial: 3
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In the above example, if we had 100 hosts, 3 hosts in the group 'webservers'
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would complete the play completely before moving on to the next 3 hosts.
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The ``serial`` keyword can also be specified as a percentage, which will be applied to the total number of hosts in a
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play, in order to determine the number of hosts per pass::
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- name: test play
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hosts: webservers
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serial: "30%"
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If the number of hosts does not divide equally into the number of passes, the final pass will contain the remainder.
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As of Ansible 2.2, the batch sizes can be specified as a list, as follows::
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- name: test play
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hosts: webservers
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serial:
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- 1
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- 5
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- 10
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In the above example, the first batch would contain a single host, the next would contain 5 hosts, and (if there are any hosts left),
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every following batch would contain 10 hosts until all available hosts are used.
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It is also possible to list multiple batch sizes as percentages::
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- name: test play
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hosts: webservers
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serial:
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- "10%"
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- "20%"
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- "100%"
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You can also mix and match the values::
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- name: test play
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hosts: webservers
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serial:
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- 1
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- 5
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- "20%"
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.. note::
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No matter how small the percentage, the number of hosts per pass will always be 1 or greater.
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.. _maximum_failure_percentage:
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Maximum Failure Percentage
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``````````````````````````
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By default, Ansible will continue executing actions as long as there are hosts in the batch that have not yet failed. The batch size for a play is determined by the ``serial`` parameter. If ``serial`` is not set, then batch size is all the hosts specified in the ``hosts:`` field.
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In some situations, such as with the rolling updates described above, it may be desirable to abort the play when a
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certain threshold of failures have been reached. To achieve this, you can set a maximum failure
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percentage on a play as follows::
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- hosts: webservers
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max_fail_percentage: 30
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serial: 10
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In the above example, if more than 3 of the 10 servers in the group were to fail, the rest of the play would be aborted.
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.. note::
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The percentage set must be exceeded, not equaled. For example, if serial were set to 4 and you wanted the task to abort
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when 2 of the systems failed, the percentage should be set at 49 rather than 50.
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.. _delegation:
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Delegation
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``````````
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This isn't actually rolling update specific but comes up frequently in those cases.
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If you want to perform a task on one host with reference to other hosts, use the 'delegate_to' keyword on a task.
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This is ideal for placing nodes in a load balanced pool, or removing them. It is also very useful for controlling outage windows.
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Be aware that it does not make sense to delegate all tasks, debug, add_host, include, etc always get executed on the controller.
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Using this with the 'serial' keyword to control the number of hosts executing at one time is also a good idea::
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---
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- hosts: webservers
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serial: 5
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tasks:
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- name: take out of load balancer pool
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command: /usr/bin/take_out_of_pool {{ inventory_hostname }}
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delegate_to: 127.0.0.1
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- name: actual steps would go here
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yum:
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name: acme-web-stack
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state: latest
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- name: add back to load balancer pool
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command: /usr/bin/add_back_to_pool {{ inventory_hostname }}
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delegate_to: 127.0.0.1
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These commands will run on 127.0.0.1, which is the machine running Ansible. There is also a shorthand syntax that you can use on a per-task basis: 'local_action'. Here is the same playbook as above, but using the shorthand syntax for delegating to 127.0.0.1::
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---
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# ...
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tasks:
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- name: take out of load balancer pool
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local_action: command /usr/bin/take_out_of_pool {{ inventory_hostname }}
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# ...
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- name: add back to load balancer pool
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local_action: command /usr/bin/add_back_to_pool {{ inventory_hostname }}
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A common pattern is to use a local action to call 'rsync' to recursively copy files to the managed servers.
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Here is an example::
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---
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# ...
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tasks:
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- name: recursively copy files from management server to target
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local_action: command rsync -a /path/to/files {{ inventory_hostname }}:/path/to/target/
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Note that you must have passphrase-less SSH keys or an ssh-agent configured for this to work, otherwise rsync
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will need to ask for a passphrase.
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In case you have to specify more arguments you can use the following syntax::
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---
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# ...
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tasks:
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- name: Send summary mail
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local_action:
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module: mail
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subject: "Summary Mail"
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to: "{{ mail_recipient }}"
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body: "{{ mail_body }}"
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run_once: True
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The `ansible_host` variable (`ansible_ssh_host` in 1.x or specific to ssh/paramiko plugins) reflects the host a task is delegated to.
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.. _delegate_facts:
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Delegated facts
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```````````````
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By default, any fact gathered by a delegated task are assigned to the `inventory_hostname` (the current host) instead of the host which actually produced the facts (the delegated to host).
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The directive `delegate_facts` may be set to `True` to assign the task's gathered facts to the delegated host instead of the current one.::
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- hosts: app_servers
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tasks:
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- name: gather facts from db servers
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setup:
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delegate_to: "{{item}}"
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delegate_facts: True
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loop: "{{groups['dbservers']}}"
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The above will gather facts for the machines in the dbservers group and assign the facts to those machines and not to app_servers.
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This way you can lookup `hostvars['dbhost1']['default_ipv4']['address']` even though dbservers were not part of the play, or left out by using `--limit`.
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.. _run_once:
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Run Once
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````````
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In some cases there may be a need to only run a task one time and only on one host. This can be achieved
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by configuring "run_once" on a task::
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---
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# ...
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tasks:
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# ...
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- command: /opt/application/upgrade_db.py
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run_once: true
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# ...
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This can be optionally paired with "delegate_to" to specify an individual host to execute on::
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- command: /opt/application/upgrade_db.py
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run_once: true
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delegate_to: web01.example.org
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When "run_once" is not used with "delegate_to" it will execute on the first host, as defined by inventory,
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in the group(s) of hosts targeted by the play - e.g. webservers[0] if the play targeted "hosts: webservers".
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This approach is similar to applying a conditional to a task such as::
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- command: /opt/application/upgrade_db.py
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when: inventory_hostname == webservers[0]
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.. note::
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When used together with "serial", tasks marked as "run_once" will be run on one host in *each* serial batch.
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If it's crucial that the task is run only once regardless of "serial" mode, use
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:code:`when: inventory_hostname == ansible_play_hosts[0]` construct.
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.. _local_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 in a crontab. This may also be used
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to run a playbook inside an 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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ansible-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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.. note::
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If you set the connection to local and there is no ansible_python_interpreter set, modules will run under /usr/bin/python and not
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under {{ ansible_playbook_python }}. Be sure to set ansible_python_interpreter: "{{ ansible_playbook_python }}" in
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host_vars/localhost.yml, for example. You can avoid this issue by using ``local_action`` or ``delegate_to: localhost`` instead.
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.. _interrupt_execution_on_any_error:
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Interrupt execution on any error
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````````````````````````````````
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With the ''any_errors_fatal'' option, any failure on any host in a multi-host play will be treated as fatal and Ansible will exit immediately without waiting for the other hosts.
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Sometimes ''serial'' execution is unsuitable; the number of hosts is unpredictable (because of dynamic inventory) and speed is crucial (simultaneous execution is required), but all tasks must be 100% successful to continue playbook execution.
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For example, consider a service located in many datacenters with some load balancers to pass traffic from users to the service. There is a deploy playbook to upgrade service deb-packages. The playbook has the stages:
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- disable traffic on load balancers (must be turned off simultaneously)
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- gracefully stop the service
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- upgrade software (this step includes tests and starting the service)
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- enable traffic on the load balancers (which should be turned on simultaneously)
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The service can't be stopped with "alive" load balancers; they must be disabled first. Because of this, the second stage can't be played if any server failed in the first stage.
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For datacenter "A", the playbook can be written this way::
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---
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- hosts: load_balancers_dc_a
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any_errors_fatal: True
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tasks:
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- name: 'shutting down datacenter [ A ]'
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command: /usr/bin/disable-dc
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- hosts: frontends_dc_a
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tasks:
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- name: 'stopping service'
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command: /usr/bin/stop-software
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- name: 'updating software'
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command: /usr/bin/upgrade-software
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- hosts: load_balancers_dc_a
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tasks:
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- name: 'Starting datacenter [ A ]'
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command: /usr/bin/enable-dc
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In this example Ansible will start the software upgrade on the front ends only if all of the load balancers are successfully disabled.
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.. seealso::
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:doc:`playbooks`
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An introduction to playbooks
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`Ansible Examples on GitHub <https://github.com/ansible/ansible-examples>`_
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Many examples of full-stack deployments
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`User Mailing List <http://groups.google.com/group/ansible-devel>`_
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Have a question? Stop by the google group!
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`irc.freenode.net <http://irc.freenode.net>`_
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#ansible IRC chat channel
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