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Message type: E = Error
Message class: CNV_20100 - Messageclass for chart of account conversion
Message number: 422
Message text: For entries of type SETNAME, object must not be filled
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CNV_20100422
- For entries of type SETNAME, object must not be filled ?The SAP error message CNV_20100422 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 an issue with the data being processed, specifically related to the entries of type SETNAME.
Cause:
The error message "For entries of type SETNAME, object must not be filled" suggests that there is an inconsistency in the data being migrated. Specifically, it indicates that for entries classified as SETNAME, the object field should be empty or not filled. This could happen due to:
- Incorrect Data Mapping: The data being migrated may have been incorrectly mapped, leading to filled fields where they should be empty.
- Data Preparation Issues: The source data may not have been properly prepared or cleaned before migration, resulting in invalid entries.
- Configuration Errors: There may be configuration settings in the migration tool that are not aligned with the data structure.
Solution:
To resolve this error, you can take the following steps:
- Review the Data: Check the source data for entries of type SETNAME. Ensure that the object field is empty for these entries.
- Adjust Data Mapping: If you are using a mapping template, ensure that the mapping for SETNAME entries is correctly defined, and that the object field is set to be empty.
- Data Cleansing: Clean the data before migration. Remove or correct any entries that do not conform to the expected structure.
- Consult Documentation: Refer to the SAP documentation for the specific migration tool you are using to understand the requirements for SETNAME entries.
- Test Migration: After making the necessary adjustments, perform a test migration to ensure that the error does not occur again.
Related Information:
By following these steps, you should be able to identify the root cause of the error and implement a solution to successfully complete your data migration.
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