Power BI is turning 10! Tune in for a special live episode on July 24 with behind-the-scenes stories, product evolution highlights, and a sneak peek at what’s in store for the future.
Save the dateEnhance your career with this limited time 50% discount on Fabric and Power BI exams. Ends August 31st. Request your voucher.
Hello,
I have a Measure where I am calculating the number of occurences (repetitions) of a Key within 'N' Days (Based on Parameter Selection from Slicer) before & after the date mentioned in each row. Also, the occurence needs to be counted only if the Net Price is either lower by 10% or more, or higher than 10% or more.
I have the following meaasure, but it takes 6-8 minutes for computing every time, but I am looking for a quicker result. Please guide.
Thanks in Advance..!
DAX
Count =
VAR DT1 = MIN(Data[Created On]) - Parameter[Parameter Value]
VAR DT2 = MIN(Data[Created On]) + Parameter[Parameter Value]
RETURN
CALCULATE(
COUNT(Data[Key]),
FILTER(
ALL(Data),
AND(
Data[Created On] >= DT1,
AND(
Data[Created On] <= DT2,
AND(
Data[Key] = SELECTEDVALUE(Data[Key])
,
OR(
Data[Net Price] <= (SELECTEDVALUE(Data[Net Price]) * 0.90),
Data[Net Price] >= (SELECTEDVALUE(Data[Net Price]) * 1.10)
)
)
)
)
)
)
@Anonymous
Not sure about your data model the table column and row count, anyway, try your measure this way:
Count =
VAR DT1 = MIN ( Data[Created On] ) - Parameter[Parameter Value]
VAR DT2 = MIN ( Data[Created On] ) + Parameter[Parameter Value]
VAR DTKY = SELECTEDVALUE ( Data[Key]
VAR MINNETPRICE = SELECTEDVALUE ( Data[Net Price] ) * 0.90
VAR MAXNETPRICE = SELECTEDVALUE ( Data[Net Price] ) * 1.10
RETURN
CALCULATE (
COUNT ( Data[Key] ),
FILTER (
ALL ( Data[Created On] , Data[Key] , Data[Net Price] ),
Data[Created On] >= DT1 && Data[Created On] <= DT2 && Data[Key] = DTKY && (Data[Net Price] <= MINNETPRICE || Data[Net Price] >= MAXNETPRICE)
)
)
________________________
If my answer was helpful, please consider Accept it as the solution to help the other members find it
Click on the Thumbs-Up icon if you like this reply 🙂
⭕ Subscribe and learn Power BI from these videos
⚪ Website ⚪ LinkedIn ⚪ PBI User Group
@Anonymous Would need to understand your data better. I wrote some blog articles on performance. One of the keys would be to eliminate as many rows as possible as early as possible within your calculation.
https://community.powerbi.com/t5/Community-Blog/Performance-Tuning-DAX-Part-1/ba-p/976275
https://community.powerbi.com/t5/Community-Blog/Performance-Tuning-DAX-Part-2/ba-p/976813
User | Count |
---|---|
25 | |
11 | |
8 | |
7 | |
6 |
User | Count |
---|---|
25 | |
13 | |
12 | |
10 | |
6 |