How To Fix UPP_LB045 - You have created two identical data columns (columns &1 and &2)

UPP_LB045 - Overview

• Message type: E = Error

• Message class: UPP_LB - Layout Builder: Messages

• Message number: 045

• Message text: You have created two identical data columns (columns &1 and &2)

What causes this issue?

The ready for input data columns &V1& and &V2& are identical. However,
for manual planning it must be clearly determined which of the two data
columns should be regared as valid. For this reason, identical data
columns are not allowed.

System Response

The system will use the data from column &V2&. The data in column &V1&
will be overwritten by the system.

How to fix this error?

Change one of the columns or mark one of the columns as a
<DS:GLOS.35630D59428ED311AE690060B03C9BBE>comparison column</>.

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.

UPP_LB045 - Details

• The SAP error message UPP_LB045 indicates that there are two identical data columns in your dataset, which is not allowed. This typically occurs in the context of data processing or data uploads, particularly when using SAP's Universal Data Processing (UPP) or similar tools.
  
  Cause:
  The error arises when the system detects that two columns in your dataset have the same name or are otherwise considered identical in terms of their content or structure. This can happen due to:
  
  Duplicate Column Names: You may have inadvertently created two columns with the same name in your data source.
  Data Import Issues: If you are importing data from an external source, the source file may contain duplicate columns.
  Data Transformation Logic: During data transformation or mapping, the logic may have resulted in the creation of duplicate columns.
  
  
  Solution:
  To resolve the UPP_LB045 error, you can take the following steps:
  
  
  Identify Duplicate Columns: Review the dataset to identify the columns that are