Join us at FabCon Atlanta from March 16 - 20, 2026, for the ultimate Fabric, Power BI, AI and SQL community-led event. Save $200 with code FABCOMM.
Register now!The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now! Learn more
For a SSAS 2017 tabular model surfaced via pivot tables, a handy (vital) feature is the ability to drill through to a sensible selection of detail rows via double click on a measure (just like in the old school Excel pivot tables that your finance department can't part with). The content of the drillthough is determined by the table property [Default Detail Rows Expression]. The example Microsoft provides here is great insofar as it goes.
SELECTCOLUMNS(
'Internet Sales',
"Customer First Name", RELATED( Customer[Last Name]),
"Customer Last Name", RELATED( Customer[First Name]),
"Order Date", 'Internet Sales'[Order Date],
"Internet Total Sales", [Internet Total Sales]
)My problem is that I have a calendar table with an active relationship with my fact table (let's call this fact column end_date_sk) and an inactive relationship with the same table (let's call this fact column start_date_sk). If I want to return calendar columns from both the inactive and active relationships, what do I do? RELATED() only seems to work for the active relationship.
Thanks @Anonymous
Can you link to an example of this? I tried USERELATIONSHIP with no joy.
Using RELATED(TABLE) is tricky with inactive relationships. Here's the code you're after.
New Table =
SELECTCOLUMNS(
'Fact',
"Value For Column 1", RELATED( Dim[Value] ),
"Value For Column 2",
CALCULATE (
CALCULATE (
VALUES ( Dim[Value] ),
'Fact'
),
USERELATIONSHIP ( Dim[Column], 'Fact'[Column 2] ),
ALL ( Dim )
)
)
Assumptions:
If you want to know why so, please go to this article and read.
Best
Darek
The Power BI Data Visualization World Championships is back! Get ahead of the game and start preparing now!
| User | Count |
|---|---|
| 16 | |
| 10 | |
| 6 | |
| 5 | |
| 4 |
| User | Count |
|---|---|
| 25 | |
| 17 | |
| 14 | |
| 11 | |
| 10 |