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Message type: E = Error
Message class: CNV_DMC_UI_FW - DMC UI Framework
Message number: 018
Message text: &1 '&2' is not between '&3' and '&4'
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CNV_DMC_UI_FW018
- &1 '&2' is not between '&3' and '&4' ?The SAP error message CNV_DMC_UI_FW018 typically occurs in the context of data migration or conversion processes, particularly when using the SAP Data Migration Cockpit (DMC). This error indicates that a certain value (represented by
&1
and&2
) is not within the expected range defined by&3
and&4
.Cause:
The error is usually caused by one of the following reasons:
- Value Out of Range: The value being processed does not fall within the specified minimum and maximum limits. This could be due to incorrect data entry or data that does not conform to the expected format or range.
- Configuration Issues: There may be configuration settings in the migration project that define acceptable ranges for certain fields, and the data being migrated does not meet these criteria.
- Data Type Mismatch: The data type of the value being processed may not match the expected data type, leading to validation failures.
Solution:
To resolve this error, you can take the following steps:
Check the Value: Review the value that is causing the error (indicated by
&1
and&2
) and compare it against the defined range (&3
and&4
). Ensure that the value falls within the acceptable limits.Data Validation: Validate the data being migrated to ensure it meets the required criteria. This may involve checking for data integrity, format, and compliance with business rules.
Adjust Configuration: If the value is correct but still causing the error, check the configuration settings in the migration project. You may need to adjust the acceptable range for the field in question.
Consult Documentation: Refer to the SAP documentation or help resources related to the Data Migration Cockpit for specific guidelines on the data requirements and constraints.
Error Logs: Check the error logs for more detailed information about the error. This can provide insights into what specific data is causing the issue.
Testing: After making adjustments, perform a test migration with a smaller dataset to ensure that the changes resolve the issue before proceeding with a full migration.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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