How To Fix UMGLOG167 - &1&2&3&4 was loaded before.

UMGLOG167 - Overview

• Message type: E = Error

• Message class: UMGLOG - Message class for the SPUMG Main Log

• Message number: 167

• Message text: &1&2&3&4 was loaded before.

What causes this issue?

You try to upload an R3load log file which was uploaded before. SUMG
found this file name in the SUMG history. The history was written when
resetting the transaction using the menu "Completion->Reset".

System Response

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

How to fix this error?

You can choose to upload the file again. However, you need to be sure
that entries of this file have not been repaired yet otherwise you can
'destroy-repair' data!
You can choose not to upload the file again. It is possible to add the
tables of this R3load log file to the Manual Repair. Within the Manual
Repair you can check and repair single entries of those tables.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message UMGLOG167 - &1&2&3&4 was loaded before. ?

  The SAP error message UMGLOG167 typically indicates that a specific log or data record has already been loaded into the system, and the system is preventing a duplicate load. This error is often encountered in the context of data migration, data replication, or data loading processes, particularly when using tools like SAP Data Services or SAP Landscape Transformation (SLT).
  
  Cause:
  
  Duplicate Data Load: The most common cause of this error is an attempt to load data that has already been processed or loaded into the target system.
  Incorrect Load Configuration: The configuration settings for the data load may not be set correctly, leading to attempts to load the same data multiple times.
  Data Consistency Issues: There may be inconsistencies in the source data or the target system that cause the system to recognize the data as already loaded.
  
  
  Solution:
  
  Check for Duplicates: Review the data that is being loaded to ensure that it has not already