Forum Discussion

Element115's avatar
Element115
Memorable Member
9 months ago

QUESTION::IS dataConsistencyVerification AVAILABLE OR NOT???

Is the property dataConsistencyVerification still available when using a Copy data activity inside a pipeline?

 

Can't find it in the pipeline JSON nor in the GUI.

Need Help
pipelines

4 Replies

  • tayloramy's avatar
    tayloramy
    Super User
    9 months ago

    Hi Element115, 

     

    I'm only able to find references to dataConsistencyVerification for Azure Data Factory, not Fabric Data Factory. 

    Are you able to share any documentation where this might be supported in Fabric? 

     

    If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution. 

    • Element115's avatar
      Element115
      Memorable Member
      9 months ago

      I don't know of any doc, hence why the question.  GPTs can't find anything either in the Fabric doc, so....

      • tayloramy's avatar
        tayloramy
        Super User
        9 months ago

        HI Element115, 

         

        I'm willing to bet that this isn't supported in Fabric. While Fabric was based on ADF, there is not 100% feature parity between the two. 

         

        If you found this helpful, consider giving some Kudos. If I answered your question or solved your problem, mark this post as the solution.  

  • v-prasare's avatar
    v-prasare
    Community Support
    8 months ago

    Hi Element115 & tayloramy ,

    Thank you for sharing your thoughts on dataConsistencyVerification when using a Copy data activity inside a pipeline. I’d encourage you to submit your detailed feedback and ideas via Microsoft's official feedback channels, such as the Microsoft Fabric Ideas.

     

    Feedback submitted here is often reviewed by the product teams and can lead to meaningful improvement. since clearer guidance would definitely help capacity administrators interpret these metrics more confidently. This helps the product group prioritize improvements, and the more customers that raise this, the faster it gets addressed.

     

     

     

    Thanks,

    Prashanth