How To Fix CNV_20100071 - &1 and &2 have different keys for sorting by assignm. numbers in CoCd &3


CNV_20100071 - Overview

  • Message type: E = Error

  • Message class: CNV_20100 - Messageclass for chart of account conversion

  • Message number: 071

  • Message text: &1 and &2 have different keys for sorting by assignm. numbers in CoCd &3

  • Show details Hide details
  • What causes this issue?

    Accounts &V1& and &V2& have different keys for sorting according to
    assignment numbers in company code &V3&.
    This is determined by the indicator <zk>Key for sorting
    according to assignment numbers</> (field SKB1-ZUAWA).
    These accounts are to be converted into account &V4&. However problems
    may occur due to the different keys.

    System Response

    The conversion can take place anyway.

    How to fix this error?

    You may have to adapt the mapping table.

    Error message extract from SAP system. Copyright SAP SE.


CNV_20100071 - Details

  • The SAP error message CNV_20100071 indicates that there is a discrepancy in the sorting keys for assignment numbers in a specific company code (CoCd). This error typically arises during data migration or conversion processes, particularly when using the SAP S/4HANA Migration Cockpit or similar tools.
    
    Cause: The error occurs when the system detects that two or more records have different keys for sorting by assignment numbers within the same company code. This can happen due to: Data Inconsistency: The source data may have inconsistencies, such as duplicate assignment numbers or different formats.
    Configuration Issues: The configuration settings for the data migration might not align with the source data structure. Mapping Errors: Incorrect mapping of fields during the migration process can lead to mismatches in assignment numbers.
    Solution: To resolve this error, you can follow these steps: Check Source Data: Review the source data for inconsistencies. Look for duplicate assignment numbers or variations in how they are formatted. Data Cleansing:

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