cancel
Showing results for
Did you mean:

Earn a 50% discount on the DP-600 certification exam by completing the Fabric 30 Days to Learn It challenge.

Regular Visitor

DAX - count header rows only if specific details

I am trying to get my head around this DAX measure. I have a denormalized Master-Detail tables with Orders of products. The model is relatively large (200+ mln rows) and I am looking for the most optimal way to have the following measure: Count all distinct orders, that have both ProductID 100 and ProductID 101

In the source data below, that would be just 1 order.

Any pointers, articles or hints?

1 ACCEPTED SOLUTION
Super User

@_donev

If it's always those two particular ProducID values that you are interested in, then this is the fastest performing measure I could come up with on some test data:

```Orders with both 100 & 101 =
VAR Orders_100 =
CALCULATETABLE ( VALUES ( Orders[OrderID] ), Orders[ProductID] = "100" )
VAR Orders_101 =
CALCULATETABLE ( VALUES ( Orders[OrderID] ), Orders[ProductID] = "101" )
RETURN
COUNTROWS ( INTERSECT ( Orders_100, Orders_101 ) )```

If you needed a more general measure that could handle any selection of ProductID values then that would be a bit different.

Regards,

Owen

Owen Auger
Blog
Super User

@_donev

If it's always those two particular ProducID values that you are interested in, then this is the fastest performing measure I could come up with on some test data:

```Orders with both 100 & 101 =
VAR Orders_100 =
CALCULATETABLE ( VALUES ( Orders[OrderID] ), Orders[ProductID] = "100" )
VAR Orders_101 =
CALCULATETABLE ( VALUES ( Orders[OrderID] ), Orders[ProductID] = "101" )
RETURN
COUNTROWS ( INTERSECT ( Orders_100, Orders_101 ) )```

If you needed a more general measure that could handle any selection of ProductID values then that would be a bit different.

Regards,

Owen

Owen Auger
Blog

Announcements

Fabric certifications survey

Certification feedback opportunity for the community.

Power BI Monthly Update - April 2024

Check out the April 2024 Power BI update to learn about new features.

Fabric Community Update - April 2024

Find out what's new and trending in the Fabric Community.

Top Solution Authors
Top Kudoed Authors