How To Fix CNV_10100121 - Duplicate record expected for set &1 &2 &3, no set name mapping

CNV_10100121 - Overview

• Message type: E = Error

• Message class: CNV_10100 - Messages from package 10100

• Message number: 121

• Message text: Duplicate record expected for set &1 &2 &3, no set name mapping

What causes this issue?

The system checks all set records in order to identify potential
duplicate records caused by the conversion. For set &V1& &V2& &V3&, a
duplicate record is expected.
The set name &V3& corresponds to a report variant and therefore cannot
be changed.

System Response

No new set name assigned to this set record.
This will result in a duplicate record, and abort the data conversion of
several tables.

How to fix this error?

To prevent a duplicate record error during the conversion, you must
delete or rename one of the affected set records. You have the following
options:
You can assign a new set name in the set name mapping table.
You can delete one of the original set records.

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

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

CNV_10100121 - Details

• The SAP error message CNV_10100121 indicates that there is a problem with duplicate records in a data conversion or migration process. Specifically, it suggests that the system expected to find a duplicate record for a specified set (identified by parameters &1, &2, &3), but it could not find a corresponding set name mapping.
  
  Cause:
  
  Data Duplication Issue: The error typically arises when the data being processed contains duplicate entries that are not properly mapped or defined in the conversion settings.
  Missing Mapping: The system is unable to find a mapping for the set name, which is necessary for processing the duplicate records.
  Configuration Errors: There may be issues in the configuration of the data migration or conversion tool, leading to the inability to recognize or handle duplicate records.
  
  
  Solution:
  
  Check Data for Duplicates: Review the data being processed to identify any duplicate records. Ensure that the data is clean and that duplicates are either removed or