How To Fix ESH_OM_PC052 - Model &1, node &2 lacks client-attribute

ESH_OM_PC052 - Overview

• Message type: E = Error

• Message class: ESH_OM_PC - Plausibility Check

• Message number: 052

• Message text: Model &1, node &2 lacks client-attribute

What causes this issue?

Node &v2& of model &v1& has either no client attribute at all, or the
client attribute does not carry the attribute-semantics "Client". This
is not an issue if the data is actually cross-client.

System Response

If the system runs in the cross-client mode, the connector creation
resp. the indexing will fail.

How to fix this error?

Change the model: If the underlying DDIC-structure already lacks the
client-attribute, create such an attribute there, first. Create a node
attribute for the client, and make sure that the attribute-semantics is
set to "Client". The attribute needs NOT to be included as request
attribute.
To actually support the cross-client mode, the extraction-implementation
(if applicable) has to be adapted, too.

Procedure for System Administrators

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.

Smart SAP Assistant

• What is the cause and solution for SAP error message ESH_OM_PC052 - Model &1, node &2 lacks client-attribute ?

  The SAP error message ESH_OM_PC052 indicates that there is a problem with a model or node in the Enterprise Search (ESH) framework. Specifically, it suggests that the model (identified by &1) and the node (identified by &2) are missing a required client attribute. This can occur in scenarios where the system is trying to access or process data that is expected to have certain attributes defined, but they are not present.
  
  Cause:
  
  Missing Client Attribute: The model or node is expected to have a specific client attribute that is not defined or is incorrectly configured.
  
  Configuration Issues: There may be issues in the configuration of the Enterprise Search model or the underlying data sources.
  Data Source Changes: Changes in the data source or the structure of the data may lead to missing attributes.
  Transport Issues: If the model was transported from one system to another, some attributes may not have been transported correctly.
  
  
  Solution:
  
  Check Model Configuration: