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Message type: E = Error
Message class: RSRTS_CDS - Messages Transient CDS Queries
Message number: 049
Message text: Filter is ignored: Field &1 (at pos &2) is used in where clause
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RSRTS_CDS049
- Filter is ignored: Field &1 (at pos &2) is used in where clause ?The SAP error message RSRTS_CDS049 indicates that a filter field in a query is being ignored because it is used in the WHERE clause of the underlying data source (such as a Core Data Services (CDS) view). This typically occurs when the filter field is not compatible with the query execution context or when it is not allowed to be used as a filter in the current scenario.
Cause:
- Field Usage in WHERE Clause: The field specified in the error message is part of the WHERE clause in the CDS view or the underlying data model. This means that the field is already being used to filter the data at a lower level, and therefore, additional filtering on this field at the query level is redundant or not allowed.
- Query Design: The design of the query may not support filtering on certain fields that are already constrained by the data model.
- Aggregation or Calculation: If the field is part of an aggregation or calculation, it may not be possible to filter on it directly.
Solution:
- Review the Query: Check the query definition in the SAP BW or SAP HANA environment. Identify the fields used in the WHERE clause of the underlying CDS view and understand how they interact with the filters applied in the query.
- Modify Filters: If possible, remove the filter on the field that is causing the issue from the query. Instead, rely on the filtering done at the CDS view level.
- Adjust the CDS View: If you have control over the CDS view, consider modifying it to allow for more flexible filtering. This may involve changing how the WHERE clause is constructed or how the fields are exposed.
- Consult Documentation: Refer to SAP documentation or community forums for specific guidance on the behavior of the CDS views and how to handle filters effectively.
Related Information:
By understanding the context of the error and the underlying data model, you can effectively address the issue and ensure that your queries return the expected results.
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