Forum Discussion
Improve XmR Graph visual performance - Need Help
- Anonymous1 year ago
Hi KrisKolady,
Consider combining the calculations for
XMR Avg ValandXmR Avg mRinto a single measure, you can avoid redundant calls toTODAY()and the time range logic.
Sample code:XMR Avg Combined = VAR LastDatePreviousMonth = EOMONTH(TODAY(), -1) VAR LastPeriodDate = DATE(YEAR(LastDatePreviousMonth) - 1, MONTH(LastDatePreviousMonth), DAY(LastDatePreviousMonth)) VAR Period = DATESINPERIOD(DateCalendar[Date], LastPeriodDate, -24, MONTH) VAR AvgVal = CALCULATE( AVERAGEX(VALUES(DateCalendar[YearMon]), [XmR Value]), Period ) VAR AvgMR = CALCULATE( AVERAGEX(VALUES(DateCalendar[YearMon]), [XmR mR]), Period ) RETURN AvgVal & "|" & AvgMRNext, use this combined measure in your control line calculations:
XmR Chart LCL = VAR Combined = [XMR Avg Combined] VAR AvgVal = VALUE(LEFT(Combined, FIND("|", Combined) - 1)) VAR AvgMR = VALUE(MID(Combined, FIND("|", Combined) + 1, LEN(Combined))) RETURN MAX(AvgVal - 2.66 * AvgMR, 0)Best regards,
Joyce
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Hi KrisKolady,
Consider combining the calculations for XMR Avg Val and XmR Avg mR into a single measure, you can avoid redundant calls to TODAY() and the time range logic.
Sample code:
XMR Avg Combined =
VAR LastDatePreviousMonth = EOMONTH(TODAY(), -1)
VAR LastPeriodDate = DATE(YEAR(LastDatePreviousMonth) - 1, MONTH(LastDatePreviousMonth), DAY(LastDatePreviousMonth))
VAR Period = DATESINPERIOD(DateCalendar[Date], LastPeriodDate, -24, MONTH)
VAR AvgVal = CALCULATE(
AVERAGEX(VALUES(DateCalendar[YearMon]), [XmR Value]),
Period
)
VAR AvgMR = CALCULATE(
AVERAGEX(VALUES(DateCalendar[YearMon]), [XmR mR]),
Period
)
RETURN
AvgVal & "|" & AvgMR
Next, use this combined measure in your control line calculations:
XmR Chart LCL =
VAR Combined = [XMR Avg Combined]
VAR AvgVal = VALUE(LEFT(Combined, FIND("|", Combined) - 1))
VAR AvgMR = VALUE(MID(Combined, FIND("|", Combined) + 1, LEN(Combined)))
RETURN MAX(AvgVal - 2.66 * AvgMR, 0)
Best regards,
Joyce
If this post helps, then please consider Accept it as the solution to help the other members find it more quickly.
Joyce,
Thanks for the proposed solution. That's a great way to optimize the measure and I'll use it.
In parallel, I was trying to solve the performance issue and the thing that really helped it was when I used PowerQuery to compress the fact table from date level to month level granularity and removed a lot of the extraneous data that I was not using for the visual. It improved the performance 10X - from 6000 to 500 millisecs.
Thanks for taking the time to propose a solution.
Kris K