Controlling playbook execution: strategies and more
By default, Ansible runs each task on all hosts affected by a play before starting the next task on any host, using 5 forks. If you want to change this default behavior, you can use a different strategy plugin, change the number of forks, or apply one of several keywords like serial
.
Selecting a strategy
The default behavior described above is the linear strategy. Ansible offers other strategies, including the debug strategy (see also Debugging tasks) and the free strategy, which allows each host to run until the end of the play as fast as it can:
- hosts: all
strategy: free
tasks:
# ...
You can select a different strategy for each play as shown above, or set your preferred strategy globally in ansible.cfg
, under the defaults
stanza:
[defaults]
strategy = free
All strategies are implemented as strategy plugins. Please review the documentation for each strategy plugin for details on how it works.
Setting the number of forks
If you have the processing power available and want to use more forks, you can set the number in ansible.cfg
:
[defaults]
forks = 30
or pass it on the command line: ansible-playbook -f 30 my_playbook.yml.
Using keywords to control execution
In addition to strategies, several keywords also affect play execution. You can set a number, a percentage, or a list of numbers of hosts you want to manage at a time with serial
. Ansible completes the play on the specified number or percentage of hosts before starting the next batch of hosts. You can restrict the number of workers allotted to a block or task with throttle
. You can control how Ansible selects the next host in a group to execute against with order
. You can run a task on a single host with run_once
. These keywords are not strategies. They are directives or options applied to a play, block, or task.
Other keywords that affect play execution include ignore_errors
, ignore_unreachable
, and any_errors_fatal
. These options are documented in Error handling in playbooks.
Setting the batch size with serial
By default, Ansible runs in parallel against all the hosts in the pattern you set in the hosts:
field of each play. If you want to manage only a few machines at a time, for example during a rolling update, you can define how many hosts Ansible should manage at a single time using the serial
keyword:
---
- name: test play
hosts: webservers
serial: 3
gather_facts: False
tasks:
- name: first task
command: hostname
- name: second task
command: hostname
In the above example, if we had 6 hosts in the group ‘webservers’, Ansible would execute the play completely (both tasks) on 3 of the hosts before moving on to the next 3 hosts:
PLAY [webservers] ****************************************
TASK [first task] ****************************************
changed: [web3]
changed: [web2]
changed: [web1]
TASK [second task] ***************************************
changed: [web1]
changed: [web2]
changed: [web3]
PLAY [webservers] ****************************************
TASK [first task] ****************************************
changed: [web4]
changed: [web5]
changed: [web6]
TASK [second task] ***************************************
changed: [web4]
changed: [web5]
changed: [web6]
PLAY RECAP ***********************************************
web1 : ok=2 changed=2 unreachable=0 failed=0
web2 : ok=2 changed=2 unreachable=0 failed=0
web3 : ok=2 changed=2 unreachable=0 failed=0
web4 : ok=2 changed=2 unreachable=0 failed=0
web5 : ok=2 changed=2 unreachable=0 failed=0
web6 : ok=2 changed=2 unreachable=0 failed=0
Note
Setting the batch size with serial
changes the scope of the Ansible failures to the batch size, not the entire host list. You can use ignore_unreachable or max_fail_percentage to modify this behavior.
You can also specify a percentage with the serial
keyword. Ansible applies the percentage to the total number of hosts in a play to determine the number of hosts per pass:
---
- name: test play
hosts: webservers
serial: "30%"
If the number of hosts does not divide equally into the number of passes, the final pass contains the remainder. In this example, if you had 20 hosts in the webservers group, the first batch would contain 6 hosts, the second batch would contain 6 hosts, the third batch would contain 6 hosts, and the last batch would contain 2 hosts.
You can also specify batch sizes as a list. For example:
---
- name: test play
hosts: webservers
serial:
- 1
- 5
- 10
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), every following batch would contain either 10 hosts or all the remaining hosts, if fewer than 10 hosts remained.
You can list multiple batch sizes as percentages:
---
- name: test play
hosts: webservers
serial:
- "10%"
- "20%"
- "100%"
You can also mix and match the values:
---
- name: test play
hosts: webservers
serial:
- 1
- 5
- "20%"
Note
No matter how small the percentage, the number of hosts per pass will always be 1 or greater.
Restricting execution with throttle
The throttle
keyword limits the number of workers for a particular task. It can be set at the block and task level. Use throttle
to restrict tasks that may be CPU-intensive or interact with a rate-limiting API:
tasks:
- command: /path/to/cpu_intensive_command
throttle: 1
If you have already restricted the number of forks or the number of machines to execute against in parallel, you can reduce the number of workers with throttle
, but you cannot increase it. In other words, to have an effect, your throttle
setting must be lower than your forks
or serial
setting if you are using them together.
Ordering execution based on inventory
The order
keyword controls the order in which hosts are run. Possible values for order are:
- inventory:
(default) The order provided by the inventory for the selection requested (see note below)
- reverse_inventory:
The same as above, but reversing the returned list
- sorted:
Sorted alphabetically sorted by name
- reverse_sorted:
Sorted by name in reverse alphabetical order
- shuffle:
Randomly ordered on each run
Note
the ‘inventory’ order does not equate to the order in which hosts/groups are defined in the inventory source file, but the ‘order in which a selection is returned from the compiled inventory’. This is a backwards compatible option and while reproducible it is not normally predictable. Due to the nature of inventory, host patterns, limits, inventory plugins and the ability to allow multiple sources it is almost impossible to return such an order. For simple cases this might happen to match the file definition order, but that is not guaranteed.
Running on a single machine with run_once
If you want a task to run only on the first host in your batch of hosts, set run_once
to true on that task:
---
# ...
tasks:
# ...
- command: /opt/application/upgrade_db.py
run_once: true
# ...
Ansible executes this task on the first host in the current batch and applies all results and facts to all the hosts in the same batch. This approach is similar to applying a conditional to a task such as:
- command: /opt/application/upgrade_db.py
when: inventory_hostname == webservers[0]
However, with run_once
, the results are applied to all the hosts. To run the task on a specific host, instead of the first host in the batch, delegate the task:
- command: /opt/application/upgrade_db.py
run_once: true
delegate_to: web01.example.org
As always with delegation, the action will be executed on the delegated host, but the information is still that of the original host in the task.
Note
When used together with serial
, tasks marked as run_once
will be run on one host in each serial batch. If the task must run only once regardless of serial
mode, use
when: inventory_hostname == ansible_play_hosts_all[0]
construct.
Note
Any conditional (in other words, when:) will use the variables of the ‘first host’ to decide if the task runs or not, no other hosts will be tested.
Note
If you want to avoid the default behavior of setting the fact for all hosts, set delegate_facts: True
for the specific task or block.
See also
- Intro to playbooks
An introduction to playbooks
- Controlling where tasks run: delegation and local actions
Running tasks on or assigning facts to specific machines
- Roles
Playbook organization by roles
- User Mailing List
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