How To Fix CNV_10020621 - Scan block &1: cluster-ID is missing

CNV_10020621 - Overview

• Message type: E = Error

• Message class: CNV_10020 - Message class for package 10020

• Message number: 621

• Message text: Scan block &1: cluster-ID is missing

What causes this issue?

Each record in the scan table contains an upper border. It is the
maximum source determination value that is handled by this scan block.
If the relationship data is stored in a transparent object table, this
information is sufficient. If it is stored in the cluster table, the
scan block includes several cluster blocks. To be able to read the
corresponding cluster data of a scan block, the ID of the last cluster
block included in the scan block is required.
The cluster-ID information for scan block &V1& is missing.

System Response

Relationship data X that lies inbetween ]ub(i-1)..ub(i)] cannot be
loaded.

How to fix this error?

Rebuild the scan result by using transaction CNV_10020_SCAN.

Error message extract from SAP system. Copyright SAP SE.

CNV_10020621 - Details

• The SAP error message CNV_10020621 with the description "Scan block &1: cluster-ID is missing" 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 find a required cluster ID for a specific scan block, which is essential for processing the data correctly.
  
  Cause:
  
  Missing Cluster ID: The error suggests that the cluster ID, which is necessary for identifying and processing the data block, is not present in the data being scanned.
  Data Inconsistencies: There may be inconsistencies or corruption in the data being migrated, leading to missing identifiers.
  
  Configuration Issues: Incorrect configuration settings in the migration tool or the source system can lead to this error.
  Version Compatibility: The source data format may not be compatible with the target system, leading to missing identifiers.
  
  
  Solution:
  
  Check Data Source: Verify the source data for completeness and correctness. Ensure