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Anonymous's avatar
Anonymous
Not applicable
2 years ago
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Deployment Pipeline Error from Test to Production

Hi all,   There was something wrong when I deployed using pipeline fron Test to Production.    Everything was OK last time when I used the two workspaces. This time I just add two parameters to l...
  • Anonymous's avatar
    Anonymous
    2 years ago

    Try to re-deploy the report to Dev and as different name ReportNameTest with the parameters, then push that one to Test and then to Prod. At least this will tell you if it is something wrong with the original one in Test. 
    If that one fails, try the same thing with one without the parameters. That could say if it is the parameters causing the issue.

    To be clear, there is nothing wrong with using parameters and deployement pipelines, just trying to get you some debugging thinking.

  • Anonymous's avatar
    Anonymous
    2 years ago

    Hi, Anonymous 
    Thanks for the reply from Anonymous , please allow me to provide another insight:

    Ensure that the parameters you add in the Test workspace are correctly configured as deployment rules for your production environment. If the value or configuration of a parameter varies from environment to environment, the parameter can significantly impact the deployment. You can check the following link:

    The Microsoft Fabric deployment pipelines process - Microsoft Fabric | Microsoft Learn

     

    Review the unsupported items and properties to verify that the parameters you've added or any other changes you've made aren't in the unsupported deployment items or properties category. Some properties may not be replicated or supported during deployment. You can check the following link:

    The Microsoft Fabric deployment pipelines process - Microsoft Fabric | Microsoft Learn

     

    If your dataset uses incremental refresh policies, make sure that the parameters related to those policies are set correctly for your production environment. Incorrect configuration can cause the deployment to fail. You can check the following link:

    Incremental refresh for semantic models and real-time data in Power BI - Power BI | Microsoft Learn

     

    Ensure that the dataset in your production environment has no unresolved dependencies. If the dataset depends on other items that haven't been deployed or updated in production, it can cause the deployment to fail.

     

    How to Get Your Question Answered Quickly 

    Best Regards

    Yongkang Hua

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