Skip to main content
cancel
Showing results for 
Search instead for 
Did you mean: 

We've captured the moments from FabCon & SQLCon that everyone is talking about, and we are bringing them to the community, live and on-demand. Starts on April 14th. Register now

Reply
Anonymous
Not applicable

Nested filter context modification

Hey guys. I've stumbled on bit of a pickle.

I've got a simple 'Orders' table containing list of order details specifying [Order #], [Date created], [Date closed] and [Age (days)]:

misomikus_1-1700154183805.png

The [Date created] column is linked with [Date] column in 'Dates' table. Dates table has also a [Week] column which is showing the last date in particular week:

misomikus_2-1700154622188.png

 

I want to show how many orders were work-in-progress (WIP) each week. An order is considered WIP in the given week if 2 conditions are met:

  1. [Date created] is on or before the [Week] date
  2. [Date closed] is after the [Week] date.

And I want to visualize it say in a stacked column chart with [Week] column on X axis and WIP count on Y axis.

 

Essentially there are 2 steps:

  1. Get a table with all orders - the filter context coming from the [Week] column in 'Dates' table removed
  2. Count rows of the resulting table filtered by the dates as mentioned earlier.

 

Now, I can do something like this:

 

WIP count = 
COUNTROWS(
    CALCULATETABLE(
        'Orders',
        'Orders'[Date created]  <= MAX( 'Dates'[Week] ),
        'Orders'[Date closed]   >  MAX( 'Dates'[Week] ) 
    )
)

 

 

And it would work were it not for the relationship b/w the 2 tables. The table in formula is not calculated from all the orders but rather from a subset of orders that were created on the given week due to the said relationship.

And that's the problem.

I need to incorporate something like ALLSELECTED('Order'[Date created]'. But when I put it in the formula, it doesn't work.

1 ACCEPTED SOLUTION
lbendlin
Super User
Super User

You could go all cute and use INTERSECT and USERELATIONSHIP

 

 

WIP = 
var w = max(Dates[Week])
var cr = CALCULATETABLE(VALUES(Orders[Order #]),Dates[Date]<=w)
var cl = CALCULATETABLE(VALUES(Orders[Order #]),Dates[Date]>w,USERELATIONSHIP(Dates[Date],Orders[Date Closed]))
return countrows(INTERSECT(cr,cl))

 

 

,  or you could simply inactivate both relationships.

lbendlin_0-1700411395686.png

 

 

 

WIP = 
var w = max(Dates[Week])
return CALCULATE(COUNTROWS(Orders),Orders[Date Created]<=w,Orders[Date Closed]>w) 

 

 

 

lbendlin_1-1700411438787.png

 

 

View solution in original post

2 REPLIES 2
lbendlin
Super User
Super User

You could go all cute and use INTERSECT and USERELATIONSHIP

 

 

WIP = 
var w = max(Dates[Week])
var cr = CALCULATETABLE(VALUES(Orders[Order #]),Dates[Date]<=w)
var cl = CALCULATETABLE(VALUES(Orders[Order #]),Dates[Date]>w,USERELATIONSHIP(Dates[Date],Orders[Date Closed]))
return countrows(INTERSECT(cr,cl))

 

 

,  or you could simply inactivate both relationships.

lbendlin_0-1700411395686.png

 

 

 

WIP = 
var w = max(Dates[Week])
return CALCULATE(COUNTROWS(Orders),Orders[Date Created]<=w,Orders[Date Closed]>w) 

 

 

 

lbendlin_1-1700411438787.png

 

 

Anonymous
Not applicable

Thank you!

 

I eventually made it work. But I like your solution with INTERSECT too.

 

Interesting idea, though, to inactivate both relationships.

Helpful resources

Announcements
New to Fabric survey Carousel

New to Fabric Survey

If you have recently started exploring Fabric, we'd love to hear how it's going. Your feedback can help with product improvements.

Power BI DataViz World Championships carousel

Power BI DataViz World Championships - June 2026

A new Power BI DataViz World Championship is coming this June! Don't miss out on submitting your entry.

Join our Fabric User Panel

Join our Fabric User Panel

Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.

March Power BI Update Carousel

Power BI Community Update - March 2026

Check out the March 2026 Power BI update to learn about new features.