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Message type: E = Error
Message class: UJA_EXCEPTION - BPC: Admin exception message class
Message number: 349
Message text: Required attribute &1 has been added to the dimension &2
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UJA_EXCEPTION349
- Required attribute &1 has been added to the dimension &2 ?The SAP error message UJA_EXCEPTION349 indicates that a required attribute has been added to a dimension in the context of SAP BW (Business Warehouse) or SAP BW/4HANA. This error typically arises when there is a mismatch between the data model and the data being processed, particularly when attributes that are necessary for processing are not present in the data source or the data model.
Cause:
- Missing Required Attributes: The error suggests that a required attribute (denoted as &1) is missing from the dimension (denoted as &2) in the InfoObject or data model.
- Changes in Data Model: If there have been recent changes to the data model, such as adding new attributes to dimensions, and the data source or transformation does not include these attributes, this error can occur.
- Inconsistent Data: The data being loaded may not conform to the new structure of the InfoObject or dimension, leading to this error.
Solution:
- Check the Data Model: Review the InfoObject and ensure that all required attributes are defined correctly. Make sure that the attributes are included in the data source or transformation.
- Update Data Source: If the required attribute has been added to the dimension, ensure that the data source (e.g., DSO, InfoCube) is updated to include this attribute. This may involve modifying the extraction logic or the data source configuration.
- Adjust Transformations: If you are using transformations to load data, ensure that the transformation rules are updated to map the new required attributes correctly.
- Data Load Process: Rerun the data load process after making the necessary adjustments to ensure that the required attributes are populated correctly.
- Check for Dependencies: If the dimension is part of a composite provider or other complex data model, ensure that all dependencies are accounted for and that the data flow is consistent.
Related Information:
By following these steps, you should be able to resolve the UJA_EXCEPTION349 error and ensure that your data model is consistent with the required attributes.
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