I have a fact table with settlement_date, product_id, service_id, location_id, and ticket_id and srv_adjusted_earning columns.
I have determined the DAX query to generate a calculated column that sums the srv_adjusted_earning column over the date range: settlement date and settlement date - 27 days (i.e. a 4 week window) as:
=CALCULATE(
SUM(factService[SRV_ADJUSTED_EARNING]),
DATESBETWEEN
(
factService[SETTLEMENT_DATE],
DATEADD(factService[SETTLEMENT_DATE], -27, DAY),
factService[SETTLEMENT_DATE]
),
FILTER(factService, factService[PRO_ID] = EARLIER(factService[PRO_ID])),
FILTER(factService, factService[SER_ID] = EARLIER(factService[SER_ID])),
FILTER(factService, factService[LOC_ID_SELLING] =
EARLIER(factService[LOC_ID_SELLING])),
FILTER(factService, factService[TIS_ID] = EARLIER(factService[TIS_ID]))
)
I am trying to convert this DAX calculated column to a measure and I tried the following:
blob:=CALCULATE
(
SUM(factService[SRV_ADJUSTED_EARNING]),
DATESBETWEEN
(
factService[SETTLEMENT_DATE],
DATEADD(factService[SETTLEMENT_DATE], -27, DAY),
factService[SETTLEMENT_DATE]
),
ALLEXCEPT(factService, factService[PRO_ID]),
ALLEXCEPT(factService, factService[SER_ID]),
ALLEXCEPT(factService, factService[LOC_ID_SELLING]),
ALLEXCEPT(factService, factService[TIS_ID])
)
But I get: Error: Calculation error in measure 'factService'[blob]: A single value for column 'SETTLEMENT_DATE' in table 'factService' cannot be determined. This can happen when a measure formula refers to a column that contains many values without specifying an aggregation such as min, max, count, or sum to get a single result.
Anybody know how I fix this?