HRPA_ARCH063 - Data until &3 prepared for destruction


SAP Error Message - Details

  • Message type: E = Error

  • Message class: HRPA_ARCH -

  • Message number: 063

  • Message text: Data until &3 prepared for destruction

  • Show details Hide details
  • What causes this issue?

    Preprocessing has been run successfully for the selected personnel
    number.

    System Response

    The system has created a
    <DS:GLOS.4EC64349180109C5E10000000A421391>destruction log</> until &V3&
    for the personnel number &V1& for all data for the archiving object &V2&
    that fulfills the criteria for the destruction of data. For this, the
    system creates a data record in the infotype <LS>Archiving/Data
    Destruction</> (0283). This destruction log has the status <LS>Prepared
    for Data Destruction</> and has the end date as the date until which the
    data can be destroyed.
    Once you have run the delete program, the system sets the status of this
    destruction log to <LS>Destroyed</>.

    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.


Smart SAP Assistant

  • What is the cause and solution for SAP error message HRPA_ARCH063 - Data until &3 prepared for destruction ?

    The SAP error message HRPA_ARCH063 indicates that data has been prepared for destruction, which typically relates to the archiving process in SAP Human Resources (HR) modules. This message is part of the archiving and data management functionality in SAP, where data that is no longer needed for day-to-day operations can be archived or deleted to improve system performance and manage data volume.

    Cause:

    The error message HRPA_ARCH063 is triggered when the system identifies that certain HR data (such as employee records, payroll data, etc.) has been marked for destruction after being archived. This usually occurs during the archiving process when the data retention period has expired, and the system is set to delete the archived data.

    Solution:

    1. Review Archiving Settings: Check the archiving settings in your SAP system to ensure that the data retention periods are correctly configured. You can do this in transaction code SARA, where you can manage archiving objects.

    2. Data Retention Policy: Ensure that your organization's data retention policy aligns with the archiving settings in SAP. If you need to retain certain data longer, adjust the retention periods accordingly.

    3. Check Archiving Logs: Review the archiving logs to understand which data has been marked for destruction and why. This can provide insights into whether the data should indeed be deleted or if there was an error in the archiving process.

    4. Consult Documentation: Refer to SAP documentation or notes related to the specific archiving object you are working with. This can provide additional context and guidance on handling the data.

    5. Backup Important Data: If there is any critical data that you believe should not be deleted, ensure that it is backed up or retained in accordance with your organization's policies before proceeding with the destruction.

    6. Execute Data Destruction: If you have confirmed that the data can be safely deleted, you can proceed with the destruction process as per the archiving guidelines.

    Related Information:

    • Archiving Objects: Familiarize yourself with the specific archiving objects related to HR data, such as PA (Personnel Administration), PY (Payroll), and others.
    • Transaction Codes: Use transaction codes like SARA (Archive Administration) to manage archiving processes and check the status of archived data.
    • SAP Notes: Look for relevant SAP Notes that may address specific issues or provide updates related to archiving and data destruction.

    If you continue to experience issues or have specific concerns about the data being marked for destruction, it may be beneficial to consult with your SAP Basis team or an SAP consultant who specializes in HR data management.

    Artificial intelligence solution provided by tomco.ai.
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