How To Fix FINS_ML_MIG016 - & (identify via non-history table field KALN1: & ), LFMON: & , LFGJA: &


FINS_ML_MIG016 - Overview

  • Message type: E = Error

  • Message class: FINS_ML_MIG - Messages for S/4HANA Material Ledger Migration

  • Message number: 016

  • Message text: & (identify via non-history table field KALN1: & ), LFMON: & , LFGJA: &

  • Show details Hide details
  • History tables (MBEWH, EBEWH, QBEWH, OBEWH) do not contain the field
    KALN1.
    Consequently, you have to enter the corresponding non-history table
    (MBEW, EBEW, QBEW, OBEW) with the corresponding KALN1-field in
    transaction SE16H.
    Afterwards you retrieve the table key, which is identical in the
    non-history and history table.
    If you want to compare the data with the original database table before
    migration, enter the database view MBV<Table_Name>OLD (= CDS-view
    accesses data before data migration), for instance MBVMBEWHOLD for table
    MBEWH.

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


    Error message extract from SAP system. Copyright SAP SE.


FINS_ML_MIG016 - Details

  • The SAP error message FINS_ML_MIG016 typically relates to issues encountered during the migration of data in the context of the Material Ledger (ML) in SAP S/4HANA. This error often arises when there are inconsistencies or missing data in the non-history tables that are required for the migration process.
    
    Cause: The error message FINS_ML_MIG016 is usually triggered by one or more of the following issues: Missing or Inconsistent Data: The fields specified (KALN1, LFMON, LFGJA) may contain values that do not correspond to existing records in the relevant tables. This can happen if the data was not properly migrated or if there are discrepancies in the data. Incorrect Configuration: The configuration settings for the Material Ledger or the migration process may not be set up correctly, leading to issues when trying to access or process the data. Data Integrity Issues: There may be integrity issues in the database, such as orphaned records or records that do

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