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How to Use Conditionals in Ansible Playbooks

A practical, detailed guide to Ansible conditionals: write correct when expressions, branch on facts and registered results, filter loop items, control failure and change reporting, and debug skipped tasks.

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Ansible conditionals let a playbook decide, for each host and each loop item, whether a task should run. The main keyword is when: give it a raw Jinja expression, and Ansible executes the task only where that expression is true. Facts, ordinary variables, and results registered by earlier tasks are the usual inputs.

This guide shows the syntax that works reliably, how conditions interact with loops, imports, failure and change reporting, and check mode, plus a methodical way to diagnose skipped or unexpectedly executed tasks.

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What an Ansible conditional does

A task without a condition is eligible to run on every host targeted by the play. A task with when is evaluated separately for each host after Ansible has the variables and facts needed by the expression. A false expression produces a skipped task on that host; it does not make the play fail.

Conditions are decisions, not text substitutions. The value of when, failed_when, and changed_when is already passed through Jinja2, so do not wrap the expression in {{ }}. The following is valid:

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- name: Install a Debian-family package
  ansible.builtin.package:
    name: nginx
    state: present
  when: ansible_facts['os_family'] == 'Debian'

Adding {{ }} inside the condition can produce warnings or incorrect evaluation because those delimiters are for templating a value into a string, not for an expression field.

Writing when expressions

One condition

Use a Boolean comparison directly. Facts are commonly addressed through the ansible_facts mapping:

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- name: Run only on Red Hat family systems
  ansible.builtin.debug:
    msg: Running the Red Hat family branch
  when: ansible_facts['os_family'] == 'RedHat'

You can test a variable, a fact, a registered result, or the result of a filter. If the value might not exist, make that possibility explicit rather than allowing an undefined-variable error.

Several conditions with implicit and

A YAML list under when means every entry must be true. This is usually easier to read than a long line:

- name: Enable a feature on supported production hosts
  ansible.builtin.service:
    name: myapp
    state: started
  when:
    - app_enabled | bool
    - environment == 'production'
    - ansible_facts['os_family'] in ['Debian', 'RedHat']

List entries are combined with implicit and. Do not add the word and between list items.

Using and, or, and parentheses

For alternative branches or custom grouping, use a single expression. Parentheses make the intended precedence clear:

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- name: Apply the compatibility setting
  ansible.builtin.template:
    src: compatibility.conf.j2
    dest: /etc/myapp/compatibility.conf
  when: (ansible_facts['distribution'] == 'Ubuntu' and ansible_facts['distribution_major_version'] | int >= 22) or legacy_mode | bool

Without parentheses, a reader has to remember operator precedence and may misunderstand the branch. Keep complicated logic in an intermediate variable when it can be named meaningfully.

Comparing numbers safely

Facts can arrive as strings. Cast a release or threshold before comparing it numerically:

- name: Use the modern repository on supported releases
  ansible.builtin.apt_repository:
    repo: deb http://example.invalid/myapp stable main
    state: present
  when: ansible_facts['lsb']['major_release'] | int >= 6

Use | int for whole numbers and | float for decimal measurements. A lexical comparison can otherwise treat values such as 10 and 9 in the wrong order.

Facts and variables as condition inputs

Operating-system facts

The most useful platform facts include ansible_facts['distribution'], ansible_facts['distribution_major_version'], and ansible_facts['os_family']. Choose the fact that matches the decision: an OS family is appropriate for package-manager differences, while an exact distribution or major version is appropriate for a distribution-specific behavior.

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Facts are host attributes collected by Ansible, but no fact is universal across every target, connection type, or fact-gathering configuration. Verify that a key exists on the systems you manage before making it a hard prerequisite for a task. If fact gathering is disabled, these values will not be available unless you gather them explicitly.

Fact freshness

ansible_date_time represents the time at which facts were gathered and cached for that host. In a long-running playbook it can become stale. For a time value that must reflect the current moment, obtain it at the point of use rather than treating ansible_date_time as a live clock.

Normalize a decision with set_fact

When the same test appears in several tasks, calculate a clearly named intermediate value once:

- name: Determine whether this host needs the high-temperature profile
  ansible.builtin.set_fact:
    needs_high_temperature_profile: >-
      {{ (temperature | default(0) | float) > 90 }}

- name: Deploy the high-temperature profile
  ansible.builtin.template:
    src: high-temperature.conf.j2
    dest: /etc/myapp/profile.conf
  when: needs_high_temperature_profile

The expression in the set_fact value is a normal templated value, so delimiters are appropriate there. They are not appropriate in the later when expression.

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Separate platform data from branching logic

If a playbook accumulates many distribution-specific conditions, separate variable files, templates, or task files can be clearer than deeply nested expressions. A small, well-named platform variable can leave the task itself with one simple condition and make unsupported platforms obvious.

Conditionals based on registered results

Register a task result

register stores the result of a task in a host-level variable for the current playbook run. Common fields include stdout, stdout_lines, rc, failed, changed, and skipped. A later task can branch on those fields:

- name: Check whether the marker exists
  ansible.builtin.command: test -f /etc/myapp/marker
  register: marker_check
  failed_when: false

- name: Rebuild only when the marker is absent
  ansible.builtin.command: /usr/local/bin/rebuild-myapp
  when: marker_check.rc != 0

The first command normally returns a nonzero code when the file is absent. failed_when: false keeps that expected probe from stopping the play, while the registered return code remains available for the next condition.

Use result tests

Ansible supplies tests that make status checks readable: is failed, is succeeded, is skipped, and is changed. For example:

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- name: Report a successful probe
  ansible.builtin.debug:
    msg: The probe completed
  when: probe_result is succeeded

- name: Handle a failed probe
  ansible.builtin.debug:
    msg: The probe needs attention
  when: probe_result is failed

Ansible registers a result for each host even when the task failed or was skipped. That lets later tasks inspect status, but it does not make a missing field safe: check the shape of the result before reading a field that a particular module or execution path may not provide.

Registered variables are not persistent facts

A registered variable lives in memory for the current playbook run and is scoped as host-level data. It is not a cache that will be available on a later run. Persist information deliberately if a future run must make a decision from it.

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Inspect command output

Use stdout for the complete text or stdout_lines for a line list. When matching text, make the test explicit and account for the command’s return code as a separate concern:

- name: Check the configured mode
  ansible.builtin.command: /usr/local/bin/myapp --show-mode
  register: mode_check
  changed_when: false

- name: Deploy the fallback configuration
  ansible.builtin.template:
    src: fallback.conf.j2
    dest: /etc/myapp/config.conf
  when: mode_check.stdout | trim != 'managed'

Using when with loops

When a task has both a loop and a condition, Ansible evaluates the condition separately for each item. Some items can run while others are skipped:

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- name: Print only non-privileged ports
  ansible.builtin.debug:
    msg: '{{ item }}'
  loop: [80, 8080, 8443]
  when: item > 1024

The item value is available to the expression as item. This per-item behavior is different from a single condition around the whole task: the task can produce a mixture of executed and skipped iterations.

Protect optional loop sources

If a list is optional, default it to an empty list so the task has no iterations instead of failing while resolving an undefined variable:

- name: Configure optional listeners
  ansible.builtin.template:
    src: listener.conf.j2
    dest: '/etc/myapp/listeners/{{ item }}.conf'
  loop: '{{ mylist | default([]) }}'

For dictionary data, use an empty mapping and test the value you need:

- name: Enable declared features
  ansible.builtin.command: '/usr/local/bin/myapp enable {{ item.key }}'
  loop: '{{ feature_map | default({}) | dict2items }}'
  when: item.value | bool

Read loop results correctly

When a registered task runs in a loop, the registered variable contains a results list with one response per item. Inspect item.results in a later task, or loop over that list with a different loop variable to avoid ambiguity.

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For per-iteration logic that refers to a result from a previous iteration, provide a default for the first iteration. There is no previous result on that first pass, so an unguarded lookup can fail before the condition has a chance to evaluate.

Defining failure with failed_when

failed_when overrides a module’s normal failure decision. This is useful when a command has several meaningful exit codes, or when a nonzero code is expected and should be handled by a later task.

- name: Query application status without stopping on an expected state
  ansible.builtin.command: /usr/local/bin/app status
  register: app_status
  changed_when: false
  failed_when: app_status.rc not in [0, 3]

Here, return codes 0 and 3 are accepted; any other code fails the task. The explicit rule documents the contract better than allowing a generic command failure to decide.

Multiple entries in a YAML list under failed_when use implicit and semantics, just like a list under when:

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  failed_when:
    - app_status.rc not in [0, 3]
    - 'fatal' in app_status.stdout

Use a single expression with or when either condition should fail the task. Pair register with ignore_errors: true when a failure must be recorded and then evaluated by later conditional handling. ignore_errors is different from redefining failure: it allows the play to continue after Ansible marks the task failed.

Defining change with changed_when

changed_when overrides the module’s normal change report. Command and shell tasks often need this because a successful command does not necessarily mean that system state changed.

- name: Query application status without reporting a change
  ansible.builtin.command: /usr/local/bin/app status
  register: app_status
  changed_when: false
  failed_when: app_status.rc not in [0, 3]

You can report a change only when output indicates that work occurred:

- name: Refresh the application index
  ansible.builtin.command: /usr/local/bin/app refresh
  register: refresh_result
  changed_when: refresh_result.rc == 0 and 'updated' in refresh_result.stdout

As with failed_when, list entries are joined with implicit and. Correct change reporting matters to handlers, summaries, audits, and any automation that uses the changed status as a signal.

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Conditionals on imports, includes, and roles

Static imports

A condition on a static import is applied to all tasks in the imported file. The imported tasks are expanded predictably as part of playbook parsing, so the same condition can affect every task in that file:

- name: Load Debian tasks
  ansible.builtin.import_tasks: debian.yml
  when: ansible_facts['os_family'] == 'Debian'

This is convenient when the entire file belongs to one platform branch. Remember that the condition is inherited by each imported task; a task that changes a variable does not retroactively alter how the already-expanded branch is selected.

Dynamic includes

A dynamic include is evaluated at runtime. Variables can change before the include is reached, and the include decision is made then:

- name: Load platform tasks at runtime
  ansible.builtin.include_tasks: platform.yml
  when: platform_tasks_enabled | bool

Choose an import for predictable static expansion and an include when the decision must occur dynamically or when the included content depends on state established earlier in the play.

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Roles

Conditions can also be attached when reusing a role. Put the platform or environment decision at the reuse boundary when the whole role is optional; keep task-level conditions inside the role for decisions that vary between individual tasks. This keeps the role’s interface understandable and avoids repeating the same branch on every task.

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Check mode and conditional branches

Check mode simulates changes. Run it with:

ansible-playbook site.yml --check

Supported modules report what they would change without modifying remote systems. Add diff mode when the module supports it to see proposed file differences.

check_mode: true forces an individual task to run in check mode. check_mode: false forces normal execution for that task even when the playbook was launched with --check. Use the latter sparingly, because it intentionally performs a real operation during a simulation.

A check-mode run cannot always provide ordinary registered-result output. If a preceding task is skipped or does not execute its normal operation in simulation, a later condition that depends on its registered fields may have no useful data. Design such branches with an explicit check-mode path, or guard access to optional result data.

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- name: Show the planned action when the probe has run
  ansible.builtin.debug:
    msg: The marker probe returned {{ marker_check.rc }}
  when:
    - not ansible_check_mode
    - marker_check is defined

This example deliberately avoids reading a result that may not exist during a pure simulation. The exact approach depends on whether the command is safe and supported in check mode.

A complete conditional playbook pattern

The following example combines platform facts, a registered probe, per-item filtering, and explicit failure and change semantics:

---
- name: Configure the application
  hosts: app
  become: true
  tasks:
    - name: Gather the normal host facts
      ansible.builtin.setup:

    - name: Install the Debian-family package
      ansible.builtin.package:
        name: nginx
        state: present
      when: ansible_facts['os_family'] == 'Debian'

    - name: Check whether the application is already initialized
      ansible.builtin.command: test -f /etc/myapp/initialized
      register: initialization_check
      failed_when: false
      changed_when: false

    - name: Initialize the application
      ansible.builtin.command: /usr/local/bin/myapp init
      when:
        - initialization_check.rc != 0
        - not ansible_check_mode

    - name: Configure enabled ports
      ansible.builtin.template:
        src: port.conf.j2
        dest: '/etc/myapp/ports/{{ item }}.conf'
      loop: '{{ app_ports | default([]) }}'
      when:
        - item | int > 1024
        - app_ports_enabled | default(true) | bool

    - name: Query service status
      ansible.builtin.command: /usr/local/bin/myapp status
      register: service_status
      changed_when: false
      failed_when: service_status.rc not in [0, 3]

    - name: Start the service when it is stopped
      ansible.builtin.service:
        name: myapp
        state: started
      when: service_status.rc == 3

The probe tasks are intentionally non-changing, the expected status code is accepted, the loop has a safe default, and initialization is excluded from check mode because it is an operation rather than a simulation.

Why a conditional is skipped or fails

The expression contains {{ }}

Remove the delimiters from when, failed_when, and changed_when. Those fields already evaluate Jinja expressions.

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The fact or variable is absent

Inspect the available data and confirm fact gathering. A fact name that exists on one operating system may not exist on another. Use default only when the fallback is semantically safe; a default that silently selects the wrong platform can be more dangerous than a deliberate failure.

A number is being compared as text

Cast release numbers and measurements with | int or | float before comparing them.

A registered result has an unexpected shape

Inspect the complete result, then choose the correct field: stdout, stdout_lines, rc, failed, skipped, or, for loops, results. A task that was skipped may have status metadata but no command output.

An optional loop variable is undefined

Use loop: {{ mylist | default([]) }} for optional lists and default({}) for optional mappings. In actual YAML, the expression is quoted as shown in the examples so the complete templated value is parsed consistently.

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Check mode removed the data needed by the branch

Remember that simulation can skip or alter the task that would have populated a registered result. Test the normal run and check-mode run separately, and add an explicit check-mode guard when the operation cannot produce meaningful simulated output.

A practical debugging checklist

  1. Display the relevant data with ansible.builtin.debug: var=ansible_facts or a targeted variable.
  2. Confirm that the condition is a raw expression and contains no {{ }}.
  3. Verify that strings, integers, and floating-point values are being compared as the intended types.
  4. For registered results, inspect stdout, rc, failed, skipped, and loop results.
  5. Add default([]) or default({}) to genuinely optional loop inputs.
  6. Run ansible-playbook site.yml --check and account for branches that depend on results unavailable during simulation.
  7. Read the skip reason in Ansible’s verbose output; it often identifies the evaluated expression or the missing variable.

Choosing the right conditional pattern

Decision need Recommended pattern Important behavior
Different operating-system behavior Fact-based when Evaluated independently for every host; verify the fact exists.
Several requirements must all hold YAML list under when Entries use implicit and semantics.
Alternative branches or custom grouping One expression with and, or, and parentheses Parentheses document precedence and prevent accidental grouping.
Decision based on an earlier command register plus a later condition Results are host-level and temporary; skipped or check-mode tasks may not provide normal output.
Only some loop items qualify when alongside loop The condition is evaluated separately for each item.
One platform file should always share a branch Conditioned static import The condition applies to all tasks in the imported file.
Branch selection must use runtime state Conditioned dynamic include The include is evaluated when execution reaches it.
A command’s exit code is not its true failure rule failed_when Define accepted and rejected outcomes explicitly.
A successful command should not always report change changed_when Accurate change status improves idempotence reporting and handler behavior.
Preview supported changes --check, optionally with diff mode Registered-result-dependent branches may lack data in simulation.

Key rules to remember

  • when is a raw Jinja expression evaluated per host; omit {{ }}.
  • Facts, ordinary variables, and registered results are the normal sources for decisions.
  • Lists of conditions mean implicit and; use a single expression when you need or or explicit grouping.
  • Cast strings before numeric comparisons.
  • Loop conditions run per item, and optional loop data should have safe defaults.
  • Registered variables last only for the current playbook run and contain a results list when the task used a loop.
  • failed_when and changed_when let you define outcome semantics instead of relying on a command’s default status.
  • Check mode is a simulation, and it may not populate the registered data that a later conditional expects.

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