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Anonymous
Not applicable

How to reduce the load when linking star schema fact tables

In the star schema shown below, it was possible to make one of the fact tables bidirectional in order to link the fact tables without the key of the master table. However, as the number of data and parameters increases, the calculation of the Power BI measure becomes very heavy. I would like to know how to deal with this problem.

thank you very much.

f_999_1-1641894742112.png

 

 

1 ACCEPTED SOLUTION
amitchandak
Super User
Super User

@Anonymous , bi- directional join means if any filter that impacts fact will also recalculate dimension values on use on-page.

This means all slicers will be filtered based on any change.

 

refer if needed

https://www.sqlbi.com/articles/bidirectional-relationships-and-ambiguity-in-dax/

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2 REPLIES 2
amitchandak
Super User
Super User

@Anonymous , bi- directional join means if any filter that impacts fact will also recalculate dimension values on use on-page.

This means all slicers will be filtered based on any change.

 

refer if needed

https://www.sqlbi.com/articles/bidirectional-relationships-and-ambiguity-in-dax/

Share with Power BI Enthusiasts: Full Power BI Video (20 Hours) YouTube
Microsoft Fabric Series 60+ Videos YouTube
Microsoft Fabric Hindi End to End YouTube
Anonymous
Not applicable

I understand. It is unavoidable that the filters between these fact tables become heavy.

Thank you for answering.

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