How To Fix USMD1A052 - The system cannot process the read request for field &1

USMD1A052 - Overview

• Message type: E = Error

• Message class: USMD1A - Messages: Abstraction Layer

• Message number: 052

• Message text: The system cannot process the read request for field &1

What causes this issue?

You have requested to read data of the field &V1& with parameters which
are too complex to determine the result.

System Response

The system does not read any data.

How to fix this error?

In case of a search request, change your search parameters.
For all other cases, contact your system administrator.

Procedure for System Administrators

You have to correct the call of the method
IF_USMD_MODEL->READ_CHAR_VALUE.
Alternatively, in case of a customer enhancement, you have to correct
the call of the method IF_USMD_MODEL_EXT->READ_CHAR_VALUE.
For more information, see the documentation of
<DS:IO.IF_USMD_MODEL_EXT READ_CHAR_VALUE>IF_USMD_MODEL_EXT-
>READ_CHAR_VALUE</>.

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

Error message extract from SAP system. Copyright SAP SE.

USMD1A052 - Details

• The SAP error message USMD1A052, which states "The system cannot process the read request for field &1," typically occurs in the context of SAP Master Data Governance (MDG) or similar data management scenarios. This error indicates that the system is unable to retrieve or process data for a specific field, which is represented by &1 in the error message.
  Possible Causes:
  
  Field 
  Configuration Issues: The field in question may not be properly configured in the data model or may not exist in the context where it is being accessed.
  Authorization Issues: The user may not have the necessary authorizations to access the data for the specified field.
  Data Model Changes: If there have been recent changes to the data model, such as adding or removing fields, the system may not be able to find the field.
  Technical Issues: There could be underlying technical issues, such as database connectivity problems or inconsistencies in the data dictionary.
  Field