How To Fix ESH_OM_OBJ_MODEL_RP2854 - The scale is of dimension &4 (uom &3) but attribute &1 is of dimension &2

ESH_OM_OBJ_MODEL_RP2854 - Overview

• Message type: E = Error

• Message class: ESH_OM_OBJ_MODEL_RP2 - Object Model Repository (2)

• Message number: 854

• Message text: The scale is of dimension &4 (uom &3) but attribute &1 is of dimension &2

What causes this issue?

A ranking factor attribute can have a dimension and a scale can have a
unit of measure (uom) which itself has a dimension.
Here the attribute &v1& is assigned to the scale but the following
condition is not fulfilled:
As attribute &v1& is of dimension &v2& the scale must have a unit of
measure which is also of dimension &v2&.

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?

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 ESH_OM_OBJ_MODEL_RP2854 - The scale is of dimension &4 (uom &3) but attribute &1 is of dimension &2 ?

  The SAP error message ESH_OM_OBJ_MODEL_RP2854 typically occurs in the context of the SAP Enterprise Search or SAP Business Objects when there is a mismatch in the dimensions of the attributes being processed. This error indicates that there is a conflict between the expected unit of measure (UOM) and the actual unit of measure associated with the attribute in question.
  
  Cause:
  
  Dimension Mismatch: The error arises when the system expects an attribute to have a certain dimension (e.g., weight, length, volume) but finds that it has a different dimension. For example, if an attribute is expected to be in kilograms (weight) but is provided in liters (volume), this mismatch will trigger the error.
  Incorrect Configuration: The configuration of the object model or the data model may not be set up correctly, leading to inconsistencies in how attributes are defined and used.
  Data Quality Issues: There may be issues with the data itself, such as incorrect