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Message type: E = Error
Message class: CNV_10030 - Message class for package 10030
Message number: 005
Message text: All required read-only fields exist
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CNV_10030005
- All required read-only fields exist ?The SAP error message CNV_10030005 typically occurs during data migration or conversion processes, particularly when using SAP's Data Migration tools or the SAP S/4HANA Migration Cockpit. This error indicates that all required read-only fields for a particular operation or data record are present, but there may be an issue with how the data is being processed or validated.
Cause:
- Data Integrity Issues: The data being migrated may have integrity issues, such as missing or incorrect values in fields that are expected to be read-only.
- Configuration Issues: There may be configuration settings in the migration tool or the target system that are not aligned with the data being processed.
- Mapping Errors: The mapping of source fields to target fields may not be correctly defined, leading to confusion about which fields are read-only.
- Version Compatibility: The version of the migration tool or the source/target systems may not be compatible, leading to unexpected behavior.
Solution:
- Check Data Quality: Review the data being migrated to ensure that all required fields are populated correctly and that there are no integrity issues.
- Review Configuration: Verify the configuration settings in the migration tool and ensure they align with the requirements of the target system.
- Validate Mapping: Double-check the mapping of fields between the source and target systems to ensure that read-only fields are correctly identified and handled.
- Consult Documentation: Refer to the SAP documentation for the specific migration tool you are using to understand the requirements for read-only fields and any additional constraints.
- Error Logs: Check the error logs for more detailed information about the specific records or fields causing the issue. This can provide insights into what might be going wrong.
- Testing: If possible, conduct a test migration with a smaller dataset to isolate the issue and identify any specific records that may be causing the error.
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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