How To Fix 5N073 - Update Conversion Rule not possible, field is already filled

5N073 - Overview

• Message type: E = Error

• Message class: 5N - HR NL: Error Messages for Infotype Module Pools (NL)

• Message number: 073

• Message text: Update Conversion Rule not possible, field is already filled

What causes this issue?

You have selected the option <LS>Update Conversion Rule Using Deviant
Conversion Rule</> (P05_UPDATE_KDLHF). However, the <LS>Conversion Rule
</> (KDLHF) field cannot be updated with the value in the <LS>Deviant
Conversion Rule</> (AKLHF) field, because the <LS>Conversion Rule</>
(KDLHF) field contains a value other than '0' (no conversion).

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 in each case whether the <LS>Conversion Rule</> (KDLHF) field can
be replaced with the value in the <LS>Deviant Conversion Rule</> (AKLHF)
field.

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 5N073 - Update Conversion Rule not possible, field is already filled ?

  The SAP error message 5N073: Update Conversion Rule not possible, field is already filled typically occurs during data updates or conversions when the system detects that a field that is supposed to be updated is already populated with a value. This can happen in various contexts, such as during data migration, updates to master data, or when executing certain transactions.
  
  Cause:
  
  Field Already Populated: The primary cause of this error is that the field in question already contains a value, and the update or conversion rule is attempting to overwrite it without the necessary conditions being met.
  Data Integrity Rules: SAP enforces data integrity rules to prevent unintentional overwriting of existing data, which can lead to inconsistencies.
  
  Configuration Issues: There may be issues with the configuration of the update rules or the data model that are causing the system to misinterpret the state of the field.
  
  
  Solution:
  
  Check Field Values: Review the data in the field