How To Fix CNV_CMIS093 - Table &1 has been filled with the table list

CNV_CMIS093 - Overview

• Message type: E = Error

• Message class: CNV_CMIS - Message class for CMIS

• Message number: 093

• Message text: Table &1 has been filled with the table list

What causes this issue?

In this activity, the table CNVMBTTABLES is read. Only tables that are
marked as being both non-customer and sending structures are further
considered. The corresponding CNVMBTCOBJ entry is then read in order to
check the "NO_TRANSFER" flag. Only entries that should be transferred
are further considered. In a final check, the DD02L is read in order to
exclude cluster tables from the list.
Following these routines, the remaining tables will be written in to the
CNVCMIS_TB_COUNT. At this point, nothing has been counted: this
activity's purpose is merely to collect the relevant tables for
transfer.

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

System Response

How to fix this error?

Procedure for System Administrators

Error message extract from SAP system. Copyright SAP SE.

CNV_CMIS093 - Details

• The SAP error message CNV_CMIS093 indicates that a specific table (denoted as &1) has been filled with a list of tables, which is typically related to data migration or conversion processes. This message is part of the SAP Conversion Management Information System (CMIS) and is often encountered during data migration projects, especially when using tools like SAP S/4HANA Migration Cockpit or other data migration tools.
  
  Cause:
  The error message CNV_CMIS093 usually arises due to one of the following reasons:
  
  Data Migration Issues: The table in question may have been populated with a list of tables that are either not relevant or incorrectly configured for the migration process.
  Configuration Errors: There may be issues with the configuration settings in the migration tool or the source system that lead to the incorrect filling of the table.
  Missing or Incorrect Mapping: The mapping between the source and target tables may not be correctly defined, leading to unexpected entries