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Message type: E = Error
Message class: /IAM/OBJECT_INT -
Message number: 130
Message text: Extraction error: Conversion of field &1 (value &2) to &3-&4 failed
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/IAM/OBJECT_INT130
- Extraction error: Conversion of field &1 (value &2) to &3-&4 failed ?The SAP error message
/IAM/OBJECT_INT130 Extraction error: Conversion of field &1 (value &2) to &3-&4 failed
typically indicates that there is an issue with data conversion during the extraction process in the SAP system. This error can occur in various contexts, such as during data extraction for reporting, data migration, or integration processes.Cause:
- Data Type Mismatch: The value in the field cannot be converted to the target data type. For example, trying to convert a string that contains non-numeric characters into a numeric type.
- Invalid Data Format: The value may not conform to the expected format for the target data type (e.g., date formats, decimal separators).
- Null or Empty Values: If the source field is null or empty, and the target field does not allow nulls, this can lead to conversion errors.
- Inconsistent Data: The data in the source field may be inconsistent or corrupted, leading to conversion failures.
Solution:
- Check Data Types: Verify the data types of the source and target fields. Ensure that the data being extracted matches the expected format and type.
- Data Cleansing: Clean the data in the source field to ensure it conforms to the expected format. This may involve removing non-numeric characters, correcting date formats, or handling null values appropriately.
- Error Handling: Implement error handling in your extraction logic to manage cases where conversion fails. This could involve logging the error and skipping the problematic records or providing default values.
- Debugging: Use debugging tools in SAP to trace the extraction process and identify the specific record causing the error. This can help you understand the nature of the data issue.
- Consult Documentation: Review SAP documentation or notes related to the specific extraction process you are using, as there may be known issues or additional configuration steps required.
Related Information:
SE11
(Data Dictionary) to check the structure of the tables involved, or SE37
(Function Module) to analyze the function modules used in the extraction.By addressing the underlying data issues and ensuring proper data type compatibility, you should be able to resolve the extraction error.
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