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Message type: E = Error
Message class: UJA_DATA_CHECK - BPC: Messages for Data Check
Message number: 046
Message text: The Attribute &1 of Dimension &2 must be equal or greater than &3
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UJA_DATA_CHECK046
- The Attribute &1 of Dimension &2 must be equal or greater than &3 ?The SAP error message UJA_DATA_CHECK046 indicates that there is a validation issue related to the attributes of a dimension in your SAP system, specifically in the context of data loading or data processing in SAP BW (Business Warehouse) or SAP HANA.
Cause:
The error message typically arises when the value of a specific attribute (denoted as &1) of a dimension (denoted as &2) does not meet the required condition of being equal to or greater than a specified threshold (denoted as &3). This can occur due to:
- Data Quality Issues: The data being loaded or processed may contain invalid or unexpected values that do not conform to the defined business rules or constraints.
- Configuration Errors: There may be incorrect settings in the data model or transformation rules that lead to this inconsistency.
- Missing Data: Required data might be missing or not populated correctly, leading to values that are less than the expected threshold.
Solution:
To resolve this error, you can take the following steps:
Check Data Values: Review the data being loaded or processed to ensure that the values for the specified attribute meet the required condition. You may need to clean or transform the data to correct any discrepancies.
Review Transformation Rules: If you are using transformations to load data, check the transformation logic to ensure that it correctly handles the attribute values and applies the necessary business rules.
Adjust Data Model: If the error is due to a configuration issue, you may need to adjust the data model or the attributes defined for the dimension in question. Ensure that the constraints and validations are correctly set up.
Consult Documentation: Refer to SAP documentation or help resources for specific details about the dimension and attribute in question. This can provide insights into the expected values and constraints.
Test with Sample Data: If possible, test the data loading process with a smaller set of sample data to isolate the issue and identify the specific records causing the error.
Seek Support: If the issue persists, consider reaching out to your SAP support team or consulting SAP community forums for additional assistance.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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