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Message type: E = Error
Message class: CNV_DMC_UI_FW_EXCEPT - Messages for exception classes
Message number: 044
Message text: Data object attribute &1 is initial
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CNV_DMC_UI_FW_EXCEPT044
- Data object attribute &1 is initial ?The SAP error message
CNV_DMC_UI_FW_EXCEPT044
with the description "Data object attribute &1 is initial" typically occurs in the context of data migration or data conversion processes, particularly when using the SAP Data Migration Cockpit (DMC) or similar tools. This error indicates that a required attribute (field) of a data object is not populated (i.e., it is "initial" or empty), which is causing the process to fail.Cause:
- Missing Data: The most common cause is that the data being processed is missing a required value for the specified attribute. This could be due to incomplete data extraction, transformation, or loading processes.
- Configuration Issues: There may be issues with the configuration of the data migration project, such as incorrect mapping or missing mandatory fields in the source or target data structures.
- Data Validation Rules: The system may have validation rules that require certain fields to be populated before proceeding with the migration.
Solution:
- Check Data Source: Review the source data to ensure that all required fields are populated. If the attribute indicated by
&1
is empty, you will need to fill it with the appropriate value.- Review Mapping Configuration: Check the mapping configuration in the DMC to ensure that all required fields are correctly mapped from the source to the target. Make sure that there are no missing mappings for mandatory fields.
- Data Quality Checks: Implement data quality checks to identify and rectify any missing or incorrect data before running the migration process again.
- Debugging: If the error persists, consider enabling debugging or logging to get more detailed information about the data being processed and where the error is occurring.
- Consult Documentation: Refer to the SAP documentation for the Data Migration Cockpit or the specific migration project you are working on for any additional requirements or troubleshooting steps.
Related Information:
By addressing the root cause of the missing data and ensuring that all required fields are populated, you should be able to resolve the error and successfully complete the data migration process.
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