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Yesterday someone made a change to a report and published it to the Test Workspace. I tested it and deployed to Production. However, in production one of the visuals was different from Test.
The difference was in a matrix visual. There are four levels but in Production we could only see the bottom two. The top two didn't show.
For both of us everything worked fine in Desktop and the Test Workspace but had the same issue in Production.
I finally published directly from Desktop to the Production Workspace and it was fine. But that defeats the purpose of using a pipeline.
Any idea why the deployed report would be different in Production than Test?
Solved! Go to Solution.
Hi @Whatever1 ,
When testing, you can use the same capacity as the production stage. However, this can make production unstable during load testing. To avoid unstable production, use another capacity similar in resources to the production capacity, for testing. To avoid extra costs, you can use Azure A capacities to pay only for the testing time.
More details: Best practices for deployment pipelines, the Power BI Application lifecycle management (ALM) tool - ...
Best Regards
Community Support Team _ Polly
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
We do use the same capacity for both Test and Production, but testing was complete before we deployed so that wasn't the issue.
However, the link you included had what I think is the answer. It says "The dataset refresh is required because data isn't copied from one stage to another." One of the changes was to the query for the matrix visual with the issue. The reason we couldn't see the top two levels was because the new fields didn't exist in the old dataset.
We will put it in our process to refresh the dataset after deploying if there were and changes to the dataset.
Thank You
Hi @Whatever1 ,
When testing, you can use the same capacity as the production stage. However, this can make production unstable during load testing. To avoid unstable production, use another capacity similar in resources to the production capacity, for testing. To avoid extra costs, you can use Azure A capacities to pay only for the testing time.
More details: Best practices for deployment pipelines, the Power BI Application lifecycle management (ALM) tool - ...
Best Regards
Community Support Team _ Polly
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.