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powerbiexpert22
Impactful Individual
Impactful Individual

deployment pipeline

can parameter rules in deployment pipeline be set up only at semantic model level?

let say if i have 50 reports in a workspace and all 50 reports are using 50 different semantic models ( all semantic models are pointing to one database) then do i need to create parameter rules ( for database server and database names) 50 times ( 1 for each semantic model)?  

1 ACCEPTED SOLUTION
Anonymous
Not applicable

Hi @powerbiexpert22

 

Thanks for the reply from @Shosher

 

Parameter rules can be configured for semantic models, and the following table lists the types of projects for which rules can be configured, as well as the types of rules that can be configured for each project.

vkaiyuemsft_0-1720156605558.png


In Fabric, when items are connected, one item depends on the other. For example, a report always depends on the semantic model to which it is connected. A semantic model can depend on another semantic model, or it can be connected to multiple reports that depend on it. If there is a connection between two projects, the deployment pipeline always tries to maintain this connection.

In some cases, you may not want to use automatic binding. For example, if there is a pipeline for developing organizational semantic models and another pipeline for creating reports. In this case, you may want all reports to always connect to the semantic model of the production phase of the pipeline to which they belong. For this reason, avoid using the auto-binding feature.

vkaiyuemsft_1-1720156628973.png

 

More detailed information can be found in the documentation:

Create deployment rules for Fabric's Application lifecycle management (ALM) - Microsoft Fabric | Mic...

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

 

If your Current Period does not refer to this, please clarify in a follow-up reply.

 

Best Regards,

Clara Gong

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

View solution in original post

2 REPLIES 2
Anonymous
Not applicable

Hi @powerbiexpert22

 

Thanks for the reply from @Shosher

 

Parameter rules can be configured for semantic models, and the following table lists the types of projects for which rules can be configured, as well as the types of rules that can be configured for each project.

vkaiyuemsft_0-1720156605558.png


In Fabric, when items are connected, one item depends on the other. For example, a report always depends on the semantic model to which it is connected. A semantic model can depend on another semantic model, or it can be connected to multiple reports that depend on it. If there is a connection between two projects, the deployment pipeline always tries to maintain this connection.

In some cases, you may not want to use automatic binding. For example, if there is a pipeline for developing organizational semantic models and another pipeline for creating reports. In this case, you may want all reports to always connect to the semantic model of the production phase of the pipeline to which they belong. For this reason, avoid using the auto-binding feature.

vkaiyuemsft_1-1720156628973.png

 

More detailed information can be found in the documentation:

Create deployment rules for Fabric's Application lifecycle management (ALM) - Microsoft Fabric | Mic...

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

 

If your Current Period does not refer to this, please clarify in a follow-up reply.

 

Best Regards,

Clara Gong

If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.

Shosher
Regular Visitor

For starters this is posted in the desktop part of the forum which doesnt seem like the right spot but i'll answer it for you anyway.

Yes you do have to them seperately sadly. Only have to do it the first time and after that it should run fine!

I reccomend some loud music, and you'll be done in a few minutes. 

It wont help you now, but this is why its advised to not use 50 different datasets for reports. Many of those will probably similar and could be consolidated. If its worth doing that to avoid this task is up to you, but i imagine not. 

Sorry i couldnt be of more help, but i would still apprieciate being set as the answer!

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