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!Learn from the best! Meet the four finalists headed to the FINALS of the Power BI Dataviz World Championships! Register now
Hi all,
I have a table with order, date and customer and I would like to count the number of cumulative orders per customer.
Currently I have:
Measure = CALCULATE(DISTINCTCOUNT('Table'[Order]),FILTER(ALLSELECTED('Table'),'Table'[Order]<max('Table'[Order]))).
This works but I would like to have it counted per customer without having to filter them. (Expected results: 0-1-2-2-0-1-0-1). In addition, I'd like to know how to do the same thing with a calculated column, since using the formula as is returns only 1 number.
Thx,
Joery
Solved! Go to Solution.
Hi @joerykeizer
You may try to create a measure or column as below:
Measure =
CALCULATE (
DISTINCTCOUNT ( Table1[Order] ),
FILTER (
ALLEXCEPT ( Table1, Table1[Customer] ),
Table1[Order] < MAX ( Table1[Order] )
)
)
+ 0Column =
CALCULATE (
DISTINCTCOUNT ( Table1[Order] ),
FILTER (
Table1,
Table1[Customer] = EARLIER ( Table1[Customer] )
&& Table1[Order] < EARLIER ( Table1[Order] )
)
)
+ 0Regards,
Cherie
Hi @joerykeizer
You may try to create a measure or column as below:
Measure =
CALCULATE (
DISTINCTCOUNT ( Table1[Order] ),
FILTER (
ALLEXCEPT ( Table1, Table1[Customer] ),
Table1[Order] < MAX ( Table1[Order] )
)
)
+ 0Column =
CALCULATE (
DISTINCTCOUNT ( Table1[Order] ),
FILTER (
Table1,
Table1[Customer] = EARLIER ( Table1[Customer] )
&& Table1[Order] < EARLIER ( Table1[Order] )
)
)
+ 0Regards,
Cherie
Thank you! There is one issue though.
This works perfectly in my test-dataset but calculating the column is too heavy in the actual one. Dataset is currently ~155k rows. Is there any way to do this more efficiently?
Regards,
Joery
Hi @joerykeizer
You may also try to make a query with M language in Advanced Editor in Query Editor. It seems a more complicated way.
Regards,
Cherie
Share feedback directly with Fabric product managers, participate in targeted research studies and influence the Fabric roadmap.
Check out the February 2026 Power BI update to learn about new features.
| User | Count |
|---|---|
| 50 | |
| 49 | |
| 35 | |
| 15 | |
| 14 |
| User | Count |
|---|---|
| 91 | |
| 75 | |
| 41 | |
| 26 | |
| 25 |