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Message type: E = Error
Message class: CNV20200 - Messages for development class CNV_20200
Message number: 865
Message text: &1 blank! conversion rule for &2= (&3,&4) not applicable
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CNV20200865
- &1 blank! conversion rule for &2= (&3,&4) not applicable ?The SAP error message CNV20200865 typically occurs during data migration or conversion processes, particularly when using the SAP S/4HANA Migration Cockpit or similar tools. This error indicates that there is a missing or invalid conversion rule for a specific field or data element during the data transfer process.
Cause:
- Missing Conversion Rule: The error suggests that there is no defined conversion rule for the specified field (
&2
) in the context of the data being processed. This could happen if the migration project is not properly configured or if the necessary mapping rules have not been set up.- Incompatible Data Types: The data types of the source and target fields may not match, leading to the inability to apply a conversion rule.
- Data Quality Issues: The data being migrated may contain unexpected or invalid values that do not conform to the expected format or range.
Solution:
- Check Conversion Rules: Review the conversion rules defined in the migration project. Ensure that there is a valid mapping for the field indicated in the error message. You may need to create or modify the conversion rules to accommodate the data being migrated.
- Data Validation: Validate the source data to ensure that it meets the expected criteria for the target fields. Cleanse the data if necessary to remove or correct invalid entries.
- Consult Documentation: Refer to the SAP documentation for the specific migration tool you are using. There may be guidelines or best practices for setting up conversion rules.
- Use Migration Cockpit: If you are using the SAP S/4HANA Migration Cockpit, ensure that you have correctly configured the migration object and that all necessary fields are mapped appropriately.
- Debugging: If the issue persists, consider enabling debugging or logging to get more detailed information about the error. This can help identify the specific data or rule causing the issue.
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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