Muokkaa

Jaa

Sample pre- and post-deployment script

  • Artikkeli

APPLIES TO: Azure Data Factory Azure Synapse Analytics

Tip

Try out Data Factory in Microsoft Fabric, an all-in-one analytics solution for enterprises. Microsoft Fabric covers everything from data movement to data science, real-time analytics, business intelligence, and reporting. Learn how to start a new trial for free!

The following sample demonstrates how to use a pre- and post-deployment script with continuous integration and delivery in Azure Data Factory.

Install Azure PowerShell

Install the latest Azure PowerShell modules by following instructions in How to install and configure Azure PowerShell.

Warning

Make sure to use PowerShell Core in ADO task to run the script

Pre- and post-deployment script

The sample scripts to stop/ start triggers and update global parameters during release process (CICD) are located in the Azure Data Factory Official GitHub page.

Note

Use the PrePostDeploymentScript.Ver2.ps1 if you would like to turn off/ on only the triggers that have been modified instead of turning all triggers off/ on during CI/CD.

Script execution and parameters

The following sample script can be used to stop triggers before deployment and restart them afterward. The script also includes code to delete resources that have been removed. Save the script in an Azure DevOps git repository and reference it via an Azure PowerShell task the latest Azure PowerShell version.

When running a predeployment script, you need to specify a variation of the following parameters in the Script Arguments field.

-armTemplate "$(System.DefaultWorkingDirectory)/<your-arm-template-location>" -ResourceGroupName <your-resource-group-name> -DataFactoryName <your-data-factory-name> -predeployment $true -deleteDeployment $false

When running a postdeployment script, you need to specify a variation of the following parameters in the Script Arguments field.

-armTemplate "$(System.DefaultWorkingDirectory)/<your-arm-template-location>" -ResourceGroupName <your-resource-group-name> -DataFactoryName <your-data-factory-name> -predeployment $false -deleteDeployment $true

Note

The -deleteDeployment flag is used to specify the deletion of the ADF deployment entry from the deployment history in ARM.

Azure PowerShell task

Script execution and parameters - YAML Pipelines

The following YAML code executes a script that can be used to stop triggers before deployment and restart them afterward. The script also includes code to delete resources that have been removed. If you're following the steps outlined in New CI/CD Flow, this script is exported as part of artifact created via the npm publish package.

Stop ADF Triggers

 - task: AzurePowerShell@5
            displayName: Stop ADF Triggers
            inputs:
              scriptType: 'FilePath'
              ConnectedServiceNameARM: AzureDevServiceConnection
              scriptPath: ../ADFTemplates/PrePostDeploymentScript.ps1
              ScriptArguments: -armTemplate "<your-arm-template-location>" -ResourceGroupName <your-resource-group-name> -DataFactoryName <your-data-factory-name> -predeployment $true -deleteDeployment $false
              errorActionPreference: stop
              FailOnStandardError: False
              azurePowerShellVersion: 'LatestVersion'
              pwsh: True
              workingDirectory: ../

Start ADF Triggers

          - task: AzurePowerShell@5
            displayName: Start ADF Triggers
            inputs:
              scriptType: 'FilePath'
              ConnectedServiceNameARM: AzureDevServiceConnection
              scriptPath: ../ADFTemplates/PrePostDeploymentScript.ps1
              ScriptArguments: -armTemplate "<your-arm-template-location>" -ResourceGroupName <your-resource-group-name> -DataFactoryName <your-data-factory-name>-predeployment $false -deleteDeployment $true
              errorActionPreference: stop
              FailOnStandardError: False
              azurePowerShellVersion: 'LatestVersion'
              pwsh: True
              workingDirectory: ../

Related content