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Message type: E = Error
Message class: RS2HANA_VIEW - HANA Views for BW Objects
Message number: 031
Message text: Skip key figure &1: aggregation type &2 not supported
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RS2HANA_VIEW031
- Skip key figure &1: aggregation type &2 not supported ?The SAP error message RS2HANA_VIEW031 indicates that there is an issue with a key figure in a HANA view, specifically that the aggregation type of the key figure is not supported. This typically occurs when you are trying to use a key figure in a calculation or aggregation that is not compatible with the data type or the aggregation method defined for that key figure.
Cause:
- Unsupported Aggregation Type: The key figure has an aggregation type that is not supported in the context of the HANA view. For example, certain aggregation types like "Count Distinct" or "Average" may not be supported for specific data types or in certain scenarios.
- Data Type Mismatch: The data type of the key figure may not be compatible with the aggregation type being applied.
- Modeling Issues: There may be issues in the way the HANA view or the underlying data model is defined, leading to unsupported aggregations.
Solution:
- Check Aggregation Type: Review the aggregation type of the key figure in the HANA view. Ensure that it is set to a type that is supported for the operations you are trying to perform.
- Modify Key Figure: If the key figure is not compatible with the required aggregation, consider changing the aggregation type to one that is supported. For example, if it is set to "Count Distinct," you might change it to "Sum" or "Average" if applicable.
- Data Type Review: Ensure that the data type of the key figure is appropriate for the aggregation type. For instance, numeric types are generally required for sum or average calculations.
- Consult Documentation: Refer to SAP documentation for the specific version of HANA you are using to understand the supported aggregation types for key figures.
- Testing: After making changes, test the HANA view to ensure that the error is resolved and that the data is being aggregated as expected.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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