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Message type: E = Error
Message class: CNVA_00006_MSG - Message class for Content Based Search
Message number: 072
Message text: Datatype & cannot have minimum length greater than 31
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CNVA_00006_MSG072
- Datatype & cannot have minimum length greater than 31 ?The SAP error message CNVA_00006_MSG072 indicates that there is an issue with a data type definition in your SAP system. Specifically, the error states that the minimum length for a certain data type cannot exceed 31 characters. This is a common issue when defining data types in the context of data conversion or data migration processes.
Cause:
The error typically arises in the following scenarios:
- Data Type Definition: You are trying to define a data type with a minimum length that exceeds the maximum allowed value of 31 characters.
- Field Mapping: During data migration or conversion, the mapping of fields may have been incorrectly set, leading to a violation of the length constraints.
- Custom Development: If you are using custom programs or enhancements, there may be a coding error where the minimum length is incorrectly specified.
Solution:
To resolve this error, you can take the following steps:
Check Data Type Definition:
- Go to the relevant data type definition in the SAP system.
- Verify the minimum length specified for the data type. Ensure that it does not exceed 31 characters.
Adjust Field Mapping:
- If this error occurs during a data migration or conversion process, review the field mapping configuration.
- Ensure that the minimum length for the fields being mapped adheres to the constraints of the target data type.
Review Custom Code:
- If you have custom programs or enhancements, review the code to ensure that the minimum length is set correctly.
- Look for any hardcoded values or parameters that may be causing the issue.
Consult Documentation:
- Refer to SAP documentation or notes related to data types and their constraints for further guidance.
Testing:
- After making the necessary adjustments, test the changes in a development or quality assurance environment before applying them to production.
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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