Hello,
I Wrote the following measure first and it computed correctly but it took ~15 minutes and msmdsrv.exe spiked bringing the whole computer to a halt.
The date filters in both measures are just grabbing the current filter context "Reserve[Month]" and calculating a date range for the month 3 months prior. For example if the current filter context is 10/1/2016, the first measure would include rows with an [EnterDate] that had Month 7 and year 2016, grabbing 7/1/2016-7/31/206. The second measure overtly calculates 7/1/2016 and 7/31/2016 based on the the filter context and includes rows that fall between them.
I'm having trouble understanding why the second method is so much more efficient.
Relevant lines are underlined.
Measure1 = CALCULATE(SUM(Master[Open Balance]),
Master[FPD Class]="30 Non-Recovery"||Master[FPD Class]="60 Non-Recovery",
Master[DOFP]<Today(),
FILTER(Master,MONTH(Master[EnterDate])=MONTH(DATEADD(Reserve[Month],-3,MONTH))),
FILTER(Master,YEAR(Master[EnterDate])=YEAR(DATEADD(Reserve[Month],-3,MONTH))))
/
CALCULATE(SUM(Master[Open Balance]),
FILTER(Master,MONTH(Master[EnterDate])=MONTH(DATEADD(Reserve[Month],-3,MONTH))),
FILTER(Master,YEAR(Master[EnterDate])=YEAR(DATEADD(Reserve[Month],-3,MONTH))),
Master[DOFP]<TODAY())
This second measure calculated in seconds with no movement in msmdsrv.exe.
Measure2 =
var reportdate=CALCULATE(DISTINCT(VALUES(Reserve[Month])))
var startdate=CALCULATE(DATEADD(DISTINCT(VALUES(Reserve[Month])),-3,MONTH))
var enddate=CALCULATE(DATEADD(DISTINCT(VALUES(Reserve[Month])),-2,MONTH))-1
RETURN CALCULATE(SUM(Master[Open Balance]),
Master[FPD Class]="30 Non-Recovery"||Master[FPD Class]="60 Non-Recovery",
Master[DOFP]<Today(),
Master[EnterDate]<=enddate&&Master[EnterDate]>=startdate)/
CALCULATE(SUM(Master[Open Balance]),
Master[EnterDate]<=enddate&&Master[EnterDate]>=startdate,
Master[DOFP]<TODAY())