How To Fix WS321 - Multiple update of "actual" data may occur (see long text)

SAP Error Message - Details

• Message type: E = Error

• Message class: WS - Supplier Billing Document

• Message number: 321

• Message text: Multiple update of "actual" data may occur (see long text)

What causes this issue?

Version '000' contains the statistical data from the current update.
This will be changed when you run the report.

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?

Check whether you really want to change the actual data of version
'000' and whether the data on the selection screen is correct.
You must first delete the old data in version '000', otherwise the
statistical data may be updated several times.
Before you delete the data of version '000', you should save the data.
SAP recommend the following procedure:
First perform the recompilation with a version number that starts with
'&( '. You can enter any character as the third character.
Copy the data resulting from the recompilation to version '000' using
the relevant report or the copy management tool of the Logistics
Information System.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message WS321 - Multiple update of "actual" data may occur (see long text) ?

  The SAP error message WS321: Multiple update of "actual" data may occur (see long text) typically occurs during update processing in SAP when the system detects a potential issue that could lead to inconsistent or multiple updates of actual data in the database.
  
  Cause
  
  The message WS321 is a warning that appears during the update task processing.
  It indicates that the same "actual" data (e.g., actual cost, actual quantity, or actual values in controlling or logistics modules) might be updated multiple times within the same LUW (Logical Unit of Work).
  This can happen if multiple update function modules or update tasks try to update the same data simultaneously or in an inconsistent sequence.
  The root cause is often related to:
  Incorrect or redundant update calls in custom code or user exits.
  Parallel update tasks that are not properly synchronized.
  Inconsistent or incorrect design of update function modules.
  Multiple commits or nested updates that cause the same data to be