How To Fix CNV_20800022 - Temporary duplicates occur for customer number &2; see long text


SAP Error Message - Details

  • Message type: E = Error

  • Message class: CNV_20800 - Message class for CNV_20800

  • Message number: 022

  • Message text: Temporary duplicates occur for customer number &2; see long text

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  • What causes this issue?

    Customer &V1& is to be renamed to customer &V2&. Customer &V2& exists
    in the system and will be renamed to &V3&. This will cause
    <DS:TX.CNV_MBT_TEMP_DUPLICATES>temporary duplicates</>.
    <ZH>Procedure</>
    Check your mapping table for correctness.
    If the mapping is correct, be aware that the conversion runtime may be
    longer.
    Otherwise correct the mapping values.
    If the runtime is critical, we recommend avoiding temporary duplicates
    and changing the mapping values.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message CNV_20800022 - Temporary duplicates occur for customer number &2; see long text ?
    The SAP error message CNV_20800022 indicates that temporary duplicates have been detected for a customer number during a data migration or conversion process. This error typically arises in the context of SAP's data migration tools, such as the SAP S/4HANA Migration Cockpit or other data transfer processes.
    
    Cause: The error occurs when the system identifies that there are multiple entries for the same customer number in the source data being migrated. This can happen due to: Data Quality Issues: The source data may contain duplicates or inconsistencies. Incorrect Mapping: The mapping of fields during the migration process may not be set up correctly, leading to the creation of duplicate entries. Concurrency Issues: If multiple processes are trying to create or update the same customer number simultaneously, it can lead to temporary duplicates.
    Solution: To resolve this error, you can take the following steps: Check Source Data: Review the source data for duplicates. Use data profiling tools or SQL

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