How To Fix RSAU323 - Unprocessed data records discovered


RSAU323 - Overview

  • Message type: E = Error

  • Message class: RSAU - Update rules

  • Message number: 323

  • Message text: Unprocessed data records discovered

  • Show details Hide details
  • What causes this issue?

    When attempting to remove a lock for characteristic &V1&, it was
    established that table &V2& does not yet contain processed data
    records.
    Tables:
    M : Master data table
    T : Text table
    This points to a previous loading process that was canceled and
    temporary data records in table &V2& of characteristic &V1& that has
    not been deleted.

    System Response

    The System canceled the loading process in order to avoid
    inconsistencies.

    How to fix this error?

    Using the master data utility delete the temporary records from the
    corresponding table and restart the process.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message RSAU323 - Unprocessed data records discovered ?
    The SAP error message RSAU323, which states "Unprocessed data records discovered," typically occurs in the context of the SAP system's data processing, particularly when dealing with data extraction or data transfer processes. This error indicates that there are records in the data source that have not been processed successfully.
    Causes:
    
    Data Quality Issues: The records may contain invalid or incomplete data that prevents them from being processed.
    Configuration Errors: Incorrect settings in the data extraction or transfer configuration can lead to unprocessed records.
    System Performance: If the system is under heavy load, it may not be able to process all records in a timely manner.
    Authorization Issues: Lack of proper authorizations for the user or process trying to access or process the data.
    Technical Errors: Bugs or issues in the SAP system or the specific data processing program can lead to unprocessed records.
    
    Solutions:
    
    Check Data Quality: Review the records that are unprocessed to identify any data quality

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