How To Fix CNV_CMIS_M200 - Invalid mapping entry in field &1 &2 &3

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV_CMIS_M - Message class for CMIS Migration

• Message number: 200

• Message text: Invalid mapping entry in field &1 &2 &3

What causes this issue?

Incorrect data in one or all fields .

System Response

There is an incorrect entry.This is due to the following reasons.
Field,,,,Field Text,,,,Description
PARAM ,,,,Parameter Name,,,,Should NOT contain numbers or special
characters or space.
VALUE_OLD,,,,Old Value,,,,Should NOT contain special characters.
VALUE_OLD,,,,New Value,,,,Should NOT contain special characters.
VALUE_OLD should not be equal to the VALUE _NEW.

How to fix this error?

Enter data which does not contain special characters or numbers or space
for the field PARAM.
Enter data which does not contain special characters for the field
VALUE_OLD.
Enter data which does not contain special characters for the field
VALUE_NEW.
Ensure that the values are not equal.

Procedure for System Administrators

The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message CNV_CMIS_M200 - Invalid mapping entry in field &1 &2 &3 ?

  The SAP error message CNV_CMIS_M200 with the description "Invalid mapping entry in field &1 &2 &3" typically occurs during data migration or conversion processes, particularly when using the SAP Conversion Tools or during the execution of a migration project. This error indicates that there is an issue with the mapping of data fields, which can arise from various reasons.
  Causes:
  
  Incorrect Mapping Configuration: The mapping between source and target fields may not be correctly defined, leading to invalid entries.
  Missing Data: The source data may not contain the expected values for the fields being mapped, resulting in an invalid mapping.
  Data Type Mismatch: The data types of the source and target fields may not be compatible, causing the mapping to fail.
  Inconsistent Data: The data in the source system may have inconsistencies or errors that prevent successful mapping.
  Configuration Errors: There may be errors in the configuration of the migration tool or the specific migration project.
  
  Solutions:
  
  Review Mapping Configuration: Check the mapping configuration for the fields mentioned in the error message. Ensure that the source and target fields are correctly defined and that the mapping logic is appropriate.
  Validate Source Data: Examine the source data for completeness and correctness. Ensure that all required fields have valid entries that match the expected values in the target system.
  Check Data Types: Verify that the data types of the source and target fields are compatible. If there are mismatches, consider adjusting the mapping or transforming the data as needed.
  Correct Inconsistencies: If there are inconsistencies in the source data, clean and standardize the data before attempting the migration again.
  Consult Documentation: Refer to the SAP documentation for the specific migration tool you are using. There may be additional guidelines or troubleshooting steps provided.
  Use Debugging Tools: If available, use debugging tools or logs to trace the exact point of failure and gather more information about the invalid mapping entry.
  
  Related Information:
  
  SAP Notes: Check SAP Notes related to the specific migration tool or process you are using. There may be known issues or patches available.
  SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they found effective.
  Migration Tools: Familiarize yourself with the specific migration tools being used (e.g., SAP S/4HANA Migration Cockpit, SAP Data Services) as they may have unique features or requirements.
  
  By addressing the above points, you should be able to resolve the CNV_CMIS_M200 error and successfully complete your data migration or conversion process.