How To Fix FAGL_MIG108 - Data is irretrievably deleted in an update run. See long text

FAGL_MIG108 - Overview

• Message type: E = Error

• Message class: FAGL_MIG - Migration to New General Ledger Accounting

• Message number: 108

• Message text: Data is irretrievably deleted in an update run. See long text

What causes this issue?

You are executing the program in an update run. This means that data
will be irretrievably deleted (such as data in the line item table and
in the totals table). When the system deletes data, it does <ZH>not </>
distinguish between data created as part of the migration process and
other data (such as data for a normal document posting).

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?

Ensure that all data in the tables are migration data that the program
can delete.

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

FAGL_MIG108 - Details

• The SAP error message FAGL_MIG108 indicates that data has been irretrievably deleted during an update run, typically related to the migration of financial data in the context of the New General Ledger (New GL) functionality. This error can occur during the migration process when certain conditions are not met or when there are issues with the data being processed.
  
  Cause:
  
  Data Integrity Issues: The data being migrated may have integrity issues, such as missing or inconsistent entries that lead to the deletion of records.
  Incorrect Configuration: The configuration settings for the migration process may not be set up correctly, leading to unintended data deletion.
  Update Run Errors: Errors during the update run can cause the system to delete data that it cannot process correctly.
  Missing Dependencies: If there are dependencies or related data that are missing, the system may delete records that it cannot reconcile.
  
  
  Solution:
  
  Check Migration Logs: Review the migration logs to identify any specific