How To Fix RSM2722 - Record filtered in advance as error records with the same key exist

RSM2722 - Overview

• Message type: E = Error

• Message class: RSM2 - Monitor assistant help texts

• Message number: 722

• Message text: Record filtered in advance as error records with the same key exist

What causes this issue?

The existing DTP requires a serialized update because fields are updated
non-commutatively during the processing run (for example, MOVE).
Therefore all new data records that have the same semantic key as
incorrect records that have not yet been corrected in earlier requests
or earlier data packages of the same request, are filtered out after the
extraction in a special step. In this way the system ensures that
incorrect data records are not repeated for your changes, which may not
contain errors themselves.

System Response

The data record is not updated but is written to an error stack.

How to fix this error?

Correct all incorrect data records and update them using an error DTP.

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 RSM2722 - Record filtered in advance as error records with the same key exist ?

  The SAP error message RSM2722, which states "Record filtered in advance as error records with the same key exist," typically occurs in the context of data processing, particularly when using the SAP Data Transfer Workbench or during data uploads. This error indicates that the system has identified that there are existing error records with the same key in the target table, which prevents the new record from being processed.
  
  Cause:
  
  Duplicate Keys: The error is primarily caused by the presence of records in the target table that have the same key as the record you are trying to upload. This could be due to previous failed uploads or data inconsistencies.
  Data Integrity Issues: There may be issues with the data integrity, such as missing or incorrect data that leads to the creation of error records.
  Error Records: The system has flagged previous records as errors, and these records have not been resolved or deleted.
  
  
  Solution:
  
  
  Check