Description:
In the Semantic Modeler (SME), we are facing an issue with the Time Series function:
- The Time Series function works correctly when applied to fact table measure columns only.
- However, it does not work when combining measure columns with dimension attributes.
Currently:
- In SME, the aggregation rule is applied only at the fact table measure level,
and there seems to be no support for aggregation behavior when measures are used along with dimension attributes in Time Series calculations.
In contrast:
- In the traditional RPD model, we are able to:
- Apply aggregation rules on measures with dimension attributes
- Successfully use Time Series functions in such scenarios
