Pipeline conditions - Azure Pipelines (2024)

Azure DevOps Services | Azure DevOps Server 2022 - Azure DevOps Server 2019

This article describes the conditions under which an Azure Pipelines stage, job, or step runs, and how to specify different conditions. For more context on stages, jobs, and steps, see Key concepts for Azure Pipelines.

• By default, a job or stage runs if it doesn't depend on any other job or stage, or if all its dependencies completed and succeeded. This requirement applies not only to direct dependencies, but to their indirect dependencies, computed recursively.

• By default, a step runs if nothing in its job failed yet and the step immediately preceding it completed.

You can override or customize this behavior by forcing a stage, job, or step to run even if a previous dependency fails, or by specifying a custom condition.

Conditions under which a stage, job, or step runs

In the pipeline definition YAML, you can specify the following conditions under which a stage, job, or step runs:

• Only when all previous direct and indirect dependencies with the same agent pool succeed. If you have different agent pools, those stages or jobs run concurrently. This condition is the default if no condition is set in the YAML.

• Even if a previous dependency fails, unless the run is canceled. Use succeededOrFailed() in the YAML for this condition.

• Even if a previous dependency fails, and even if the run is canceled. Use always() in the YAML for this condition.

• Only when a previous dependency fails. Use failed() in the YAML for this condition.

  See Also

  Jobs and tasks in Azure Batch - Azure BatchIntroduction of Azure DevOps Pipelines - TatvaSoft BlogJob tasks and work organisationJobs in Azure Pipelines - Azure Pipelines

• Custom conditions.

By default, stages, jobs, and steps run if all direct and indirect dependencies succeed. This status is the same as specifying condition: succeeded(). For more information, see succeeded status function.

When you specify a condition property for a stage, job, or step, you overwrite the default condition: succeeded(). Specifying your own conditions can cause your stage, job, or step to run even if the build is canceled. Make sure the conditions you write take into account the state of the parent stage or job.

The following YAML example shows the always() and failed() conditions. The step in the first job runs even if dependencies fail or the build is canceled. The second job runs only if the first job fails.

jobs:- job: Foo steps: - script: echo Hello! condition: always() # this step runs, even if the build is canceled- job: Bar dependsOn: Foo condition: failed() # this job runs only if Foo fails

You can also set and use variables in conditions. The following example sets and uses an isMain variable to designate main as the Build.SourceBranch.

variables: isMain: $[eq(variables['Build.SourceBranch'], 'refs/heads/main')]stages:- stage: A jobs: - job: A1 steps: - script: echo Hello Stage A!- stage: B condition: and(succeeded(), eq(variables.isMain, true)) jobs: - job: B1 steps: - script: echo Hello Stage B! - script: echo $(isMain)

Custom conditions

If the built-in conditions don't meet your needs, you can specify custom conditions. You write conditions as expressions in YAML pipeline definitions.

The agent evaluates the expression beginning with the innermost function and proceeding outward. The final result is a boolean value that determines whether or not the task, job, or stage should run. For a full guide to the syntax, see Expressions.

If any of your conditions make it possible for the task to run even after the build is canceled, specify a reasonable value for cancel timeout so that these tasks have enough time to complete after the user cancels a run.

Condition outcomes when a build is canceled

Canceling a build doesn't mean that all its stages, jobs, or steps stop running. Which stages, jobs, or steps stop running depend on the conditions you specified, and at what point of the pipeline's execution you canceled the build. If a stage, job, or step's parent is skipped, the task doesn't run, regardless of its conditions.

A stage, job, or step runs whenever its conditions evaluate to true. If your condition doesn't take into account the state of the task's parent, the task might run even if its parent is canceled. To control whether stages, jobs, or steps with conditions run when a build is canceled, make sure to include a job status check function in your conditions.

The following examples show the outcomes of various conditions set on stages, jobs, or steps when the build is canceled.

Stage example 1

In the following pipeline, by default stage2 would depend on stage1, but stage2 has a condition set to run whenever the source branch is main, regardless of stage1 status.

If you queue a build on the main branch and cancel it while stage1 is running, stage2 still runs, because eq(variables['Build.SourceBranch'], 'refs/heads/main') evaluates to true.

stages:- stage: stage1 jobs: - job: A steps: - script: echo 1; sleep 30- stage: stage2 condition: eq(variables['Build.SourceBranch'], 'refs/heads/main') jobs: - job: B steps: - script: echo 2

Stage example 2

In the following pipeline, stage2 depends on stage1 by default. Job B in stage2 has a condition set. If you queue a build on the main branch and cancel it while stage1 is running, stage2 doesn't run, even though it contains a job whose condition evaluates to true.

The reason is because stage2 has the default condition: succeeded(), which evaluates to false when stage1 is canceled. Therefore, stage2 is skipped, and none of its jobs run.

stages:- stage: stage1 jobs: - job: A steps: - script: echo 1; sleep 30- stage: stage2 jobs: - job: B condition: eq(variables['Build.SourceBranch'], 'refs/heads/main') steps: - script: echo 2

Stage example 3

In the following pipeline, by default stage2 depends on stage1, and the step inside job B has a condition set.

If you queue a build on the main branch and cancel it while stage1 is running, stage2 doesn't run, even though it contains a step in job B whose condition evaluates to true. The reason is because stage2 is skipped in response to stage1 being canceled.

stages:- stage: stage1 jobs: - job: A steps: - script: echo 1; sleep 30- stage: stage2 jobs: - job: B steps: - script: echo 2 condition: eq(variables['Build.SourceBranch'], 'refs/heads/main')

Job example 1

In the following YAML pipeline, job B depends on job A by default, but job B has a condition set to run whenever the source branch is main. If you queue a build on the main branch and cancel it while job A is running, job B still runs, because eq(variables['Build.SourceBranch'], 'refs/heads/main') evaluates to true.

jobs:- job: A steps: - script: sleep 30- job: B dependsOn: A condition: eq(variables['Build.SourceBranch'], 'refs/heads/main') steps: - script: echo step 2.1

If you want job B to run only when job A succeeds and the build source is the main branch, your condition should be and(succeeded(), eq(variables['Build.SourceBranch'], 'refs/heads/main')).

Job example 2

In the following pipeline, job B depends on job A by default. If you queue a build on the main branch and cancel it while job A is running, job B doesn't run, even though its step has a condition that evaluates to true.

The reason is because job B has the default condition: succeeded(), which evaluates to false when job A is canceled. Therefore, job B is skipped, and none of its steps run.

jobs:- job: A steps: - script: sleep 30- job: B dependsOn: A steps: - script: echo step 2.1 condition: eq(variables['Build.SourceBranch'], 'refs/heads/main', succeeded()) 

Step example

You can also have conditions on steps.

In the following pipeline, step 2.3 has a condition set to run whenever the source branch is main. If you queue a build on the main branch and cancel it while steps 2.1 or 2.2 are running, step 2.3 still runs, because eq(variables['Build.SourceBranch'], 'refs/heads/main') evaluates to true.

steps: - script: echo step 2.1 - script: echo step 2.2; sleep 30 - script: echo step 2.3 condition: eq(variables['Build.SourceBranch'], 'refs/heads/main')

Condition settings

The following table shows example condition settings to produce various outcomes.

variables:- name: testEmpty value: ''jobs: - job: A steps: - script: echo testEmpty is blank condition: eq(variables.testEmpty, '')

Parameters in conditions

Parameter expansion happens before conditions are considered. Therefore, when you declare a parameter in the same pipeline as a condition, you can embed the parameter inside the condition. The script in the following YAML runs because parameters.doThing is true.

parameters:- name: doThing default: true type: booleansteps:- script: echo I did a thing condition: and(succeeded(), ${{ eq(parameters.doThing, true) }})

The condition in the preceding pipeline combines two functions: succeeded() and ${{ eq(parameters.doThing, true) }}. The succeeded() function checks if the previous step succeeded. The succeeded() function returns true because there was no previous step.

The ${{ eq(parameters.doThing, true) }} function checks whether the doThing parameter is equal to true. Since the default value for doThing is true, the condition returns true by default unless the pipeline sets a different value.

Template parameters in conditions

When you pass a parameter to a template, you need to either set the parameter's value in your template or use templateContext to pass the parameter to the template.

For example, the following parameters.yml file declares the doThing parameter and default value:

# parameters.ymlparameters:- name: doThing default: true # value passed to the condition type: booleanjobs: - job: B steps: - script: echo I did a thing condition: ${{ eq(parameters.doThing, true) }}

The pipeline code references the parameters.yml template. The output of the pipeline is I did a thing because the parameter doThing is true.

# azure-pipeline.ymlparameters:- name: doThing default: true type: booleantrigger:- noneextends: template: parameters.yml

For more template parameter examples, see the Template usage reference.

Job output variables used in subsequent job conditions

You can make a variable available to future jobs and specify it in a condition. Variables available to future jobs must be marked as multi-job output variables by using isOutput=true, as in the following code:

jobs:- job: Foo steps: - bash: | echo "This is job Foo." echo "##vso[task.setvariable variable=doThing;isOutput=true]Yes" #set variable doThing to Yes name: DetermineResult- job: Bar dependsOn: Foo condition: eq(dependencies.Foo.outputs['DetermineResult.doThing'], 'Yes') #map doThing and check the value steps: - script: echo "Job Foo ran and doThing is Yes."

Variables created in a step used in subsequent step conditions

You can create a variable that's available for future steps to specify in a condition. Variables created from steps are available to future steps by default and don't need to be marked as multi-job output variables.

There are some important things to note about scoping variables that are created from steps.

• Variables created in a step in a job are scoped to the steps in the same job.
• Variables created in a step are available in subsequent steps only as environment variables.
• Variables created in a step can't be used in the step that defines them.

The following example shows creating a pipeline variable in a step and using the variable in a subsequent step's condition and script.

steps:# This step creates a new pipeline variable: doThing. This variable is available to subsequent steps.- bash: | echo "##vso[task.setvariable variable=doThing]Yes" displayName: Step 1# This step is able to use doThing, so it uses doThing in its condition- script: | # Access the variable from Step 1 as an environment variable. echo "Value of doThing (as DOTHING env var): $DOTHING." displayName: Step 2 condition: and(succeeded(), eq(variables['doThing'], 'Yes')) # or and(succeeded(), eq(variables.doThing, 'Yes'))

FAQ

How can I trigger a job if a previous job succeeded with issues?

You can use the result of the previous job in a condition. For example, in the following YAML, the condition eq(dependencies.A.result,'SucceededWithIssues') allows job B to run because job A succeeded with issues.

jobs:- job: A displayName: Job A continueOnError: true # next job starts even if this one fails steps: - script: echo Job A ran - script: exit 1- job: B dependsOn: A condition: eq(dependencies.A.result,'SucceededWithIssues') # targets the result of the previous job displayName: Job B steps: - script: echo Job B ran

I canceled my build, but it's still running. Why?

You can experience this issue if a condition configured in a stage doesn't include a job status check function. To resolve the issue, add a job status check function to the condition.

If you cancel a job while it's in the queue stage but not running, the entire job is canceled, including all the other stages. For more information, see Condition outcomes when a build is canceled earlier in this article.

Related content

• Specify jobs in your pipeline
• Add stages, dependencies, and conditions