How To Fix CNV_10020293 - Date already exists for &1 &2 in cluster table &3

SAP Error Message - Details

• Message type: E = Error

• Message class: CNV_10020 - Message class for package 10020

• Message number: 293

• Message text: Date already exists for &1 &2 in cluster table &3

What causes this issue?

The process for writing the data for &V1& &V2& has terminated. Data has
already been written to cluster table &V3&.

How to fix this error?

Delete the data for &V1& &V2& from cluster table &V3&, then restart the
filling process.
&HINTS&
To delete the data for &V1& &V2& go to the activity <ZK>Job Monitor:
Load Determination Data</> (extended view) and click on &V1& &V2&. On
the following screen choose the pushbutton <ZK>Delete Object Tables</>
and answer the question "Execute in background?" with "yes" if a long
runtime is expected.

Error message extract from SAP system. Copyright SAP SE.

Smart SAP Assistant

• What is the cause and solution for SAP error message CNV_10020293 - Date already exists for &1 &2 in cluster table &3 ?

  The SAP error message CNV_10020293 indicates that there is a date conflict in a cluster table during a data migration or conversion process. This error typically arises when the system encounters a situation where a date entry already exists for a specific key in a cluster table, which violates the uniqueness constraint expected by the system.
  Cause:
  
  Duplicate Data: The most common cause of this error is the presence of duplicate records in the source data that are being migrated or converted. This can happen if the same date is being used for multiple entries that should be unique.
  Incorrect Data Mapping: If the mapping of fields from the source to the target system is not done correctly, it can lead to conflicts in the data being loaded into the cluster table.
  Data Integrity Issues: There may be underlying data integrity issues in the source system that lead to the same date being associated with multiple records.
  
  Solution:
  
  Identify Duplicates: Review the source data to identify any duplicate entries for the specified key (e.g., &1 &2) and date. You can use SQL queries or data analysis tools to find duplicates.
  Data Cleansing: Once duplicates are identified, you will need to cleanse the data. This may involve:
  
  Removing duplicates.
  Merging records if appropriate.
  Adjusting dates to ensure uniqueness.
  
  
  Check Data Mapping: Ensure that the data mapping from the source to the target system is correct. Verify that the fields being populated in the cluster table are intended to be unique.
  Test Migration: After making the necessary adjustments, perform a test migration to ensure that the error does not occur again.
  Consult Documentation: Review SAP documentation or notes related to the specific migration or conversion process you are using, as there may be additional guidelines or best practices.
  
  Related Information:
  
  Cluster Tables: In SAP, cluster tables are used to store data in a compressed format. They are designed to hold data that is logically related and often accessed together.
  Data Migration Tools: If you are using SAP tools like SAP S/4HANA Migration Cockpit or SAP Data Services, refer to their specific documentation for handling data migration issues.
  SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional troubleshooting steps.
  
  If the issue persists after following these steps, consider reaching out to SAP support for further assistance, providing them with detailed information about the error and the context in which it occurs.