How To Fix EHPRC_RCS_XPRA016 - Duplicate primary key &1 in table &2 from table &3

EHPRC_RCS_XPRA016 - Overview

• Message type: E = Error

• Message class: EHPRC_RCS_XPRA - RCS: Messages for data conversion report (XPRA)

• Message number: 016

• Message text: Duplicate primary key &1 in table &2 from table &3

What causes this issue?

The report tried to enter a new entry into database table &V2& with
primary key &V1&. However, the same primary key was already used in the
same table. The record with the duplicate primary key came from table
&V3&.
This error is most likely caused by an inconsistency in the database
tables that were converted.

System Response

The new entry could not be saved and was dropped from the conversion.
The report continued with the next entry.

How to fix this error?

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

INCLUDE NA_SYSADMIN1 OBJECT DOKU ID TX

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

EHPRC_RCS_XPRA016 - Details

• The SAP error message EHPRC_RCS_XPRA016 Duplicate primary key &1 in table &2 from table &3 typically indicates that during a data migration or upgrade process, the system has encountered duplicate entries for a primary key in a specified table. This can occur when data from one table is being transferred to another, and there are conflicting entries that violate the uniqueness constraint of the primary key.
  
  Cause:
  
  Data Duplication: The most common cause is that the source table (table &3) contains duplicate entries for the primary key that is supposed to be unique in the target table (table &2).
  Incorrect Data Migration: If data was migrated from an older version of the system or from another system, it may not have been cleaned properly, leading to duplicates.
  
  Configuration Issues: Sometimes, configuration settings or custom developments can lead to unexpected duplicates being created.
  
  
  Solution:
  
  
  Identify Duplicates: 
  
  Use SQL queries to identify the duplicate entries in the source