How To Fix CNV_10020295 - &1 &2: Single determ. from object table is not possible for cluster data

CNV_10020295 - Overview

• Message type: E = Error

• Message class: CNV_10020 - Message class for package 10020

• Message number: 295

• Message text: &1 &2: Single determ. from object table is not possible for cluster data

What causes this issue?

The relationship data for the determination path is meant to uploaded
from the object table one by one at runtime. This is only possible if
the data is stored in a transparent object table. However the object
table used here is cluster table CNV_10020_CLU.

System Response

Single determination is not possible.

How to fix this error?

Normally, single determination must be used only if not all
relationships for the determination path can be uploaded to the main
memory. If this is the case, save the data in a transparent object
table.
<zh>Note:</> If the object relationships have already been written to a
cluster table, you can copy this table into a transparent object table
using transaction CNV_10020_COPY.

Error message extract from SAP system. Copyright SAP SE.

CNV_10020295 - Details

• The SAP error message CNV_10020295 typically occurs during data migration or conversion processes, particularly when using the SAP S/4HANA Migration Cockpit or other data migration tools. This error indicates that the system is unable to determine a single record from a cluster table due to the nature of the data structure.
  
  Cause:
  The error arises when the system attempts to read data from a cluster table, which is a type of database table that stores related data in a compressed format. Cluster tables can contain multiple records for a single key, making it impossible for the system to determine a single record based on the provided key. This situation often occurs when:
  
  Data Structure: The data being processed is stored in a cluster table, and the migration process is trying to extract a single record from it.
  Key Ambiguity: The key used to access the data does not uniquely identify a single record in