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Message type: E = Error
Message class: LTR2_ES -
Message number: 123
Message text: Not supported value type &1 in domain rules
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LTR2_ES123
- Not supported value type &1 in domain rules ?The SAP error message LTR2_ES123 indicates that there is an unsupported value type in the domain rules for a specific field or data element. This error typically arises in the context of SAP's data transformation or data quality processes, particularly when using the SAP Landscape Transformation (SLT) or SAP Data Services.
Cause:
The error is caused by one of the following reasons:
- Invalid Data Type: The value being processed does not match the expected data type defined in the domain rules. For example, if a numeric field is expected but a string is provided, this error may occur.
- Domain Rules Configuration: The domain rules may not be correctly configured to handle the specific value type being passed. This could be due to a mismatch in the expected and actual data types.
- Data Source Issues: The source data may contain unexpected or malformed values that do not conform to the defined domain rules.
Solution:
To resolve the error, you can take the following steps:
Check Domain Rules:
- Review the domain rules configuration in the SAP system. Ensure that the rules are set up to handle the expected data types correctly.
- Modify the domain rules to accommodate the value types being processed.
Data Validation:
- Validate the data being processed to ensure it conforms to the expected formats and types. This may involve cleaning or transforming the data before it is processed by the domain rules.
Adjust Data Types:
- If the data type of the field is incorrect, consider adjusting the data type in the source system or during the data transformation process to match the expected type in the domain rules.
Consult Documentation:
- Refer to SAP documentation or help resources for specific guidance on configuring domain rules and handling data types.
Testing:
- After making changes, test the data processing again to ensure that the error is resolved and that the data is being processed correctly.
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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