Hello ! I’m Xavier Jouvenot and in this small post, we are going to see how to configure some optional steps in Azure Pipelines.
Self promotion: You can find other articles on my website 😉
Problematic
When creating a CI/CD pipeline, you may want to trigger some scripts only if some conditions are met. Indeed, depending on the operating system, or on some inputs, you may want to have a pipeline able to adapt itself and run the right scripts to achieve your processes/tests.
I covered the operating system part of it in another blog post, but we are going to dive a little bit deeper in this article.
Solution
In your Azure Pipeline configuration file, there is a very convenient keyword to do just that : condition. By using this keyword, we will be able to specify… well, some conditions, in which the step, or job targeted will be executed.
For example, if we want a script to only be executed if the operating system is a Mac environnement, the step will look like that:
- script: |
echo "Hello World from OSX"
displayName: OSX Job
condition: and(succeededOrFailed(), eq(variables['Agent.OS'], 'Darwin'))
With eq(variables['Agent.OS'], 'Darwin'), we check the current operating system, and with succeededOrFailed(), we make sure that this step will run even if a previous dependency has failed, unless the run was canceled.
If you want to trigger a step of you pipeline depending on the parameters of a template, for example, you can do it like that
- script: |
echo "Hello World"
displayName: If parameter is release
condition: eq('${{ parameters.configuration }}', 'Release')
With configuration being one of your parameters. In that case, this job will only be triggered if the configuration parameter is set to the value Release.
Finally, let see another use case, where you want a job to be executed or not, depending of the final state of another job:
- job: Bar
dependsOn: Foo
condition: failed()
// Rest of the pipeline
In this example, the job Bar will only be run if the job Foo ended up with a failure.
These are some example of the use case I commonly encountered, so I hope that it will help you in your own pipelines. I also encourage you to look into the Azure Pipeline documentation, where you will find a more complete description on all the possibilities available to you 😉
Thank you all for reading this article, And until my next article, have a splendid day 🙂
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