How To Fix RSDA149 - Not all requests have been rolled up to subsequent data marts


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSDA - BW Archiving: Messages

  • Message number: 149

  • Message text: Not all requests have been rolled up to subsequent data marts

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  • What causes this issue?

    The InfoCube&v1& contains &v2& data records in the selections for the
    current archiving request that have not been distributed to all
    subsequent data marts. &v3& request(s) are affected. If you want
    uncompressed time slice archiving, you first need to fully distribute
    the data, to be archived, to all subsequent data marts.

    System Response

    The archiving session is terminated.

    How to fix this error?

    First distribute all the requests up to the request with the SID &v4&
    to all subsequent data marts and then start the archiving session
    again.

    Procedure for System Administrators

    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 RSDA149 - Not all requests have been rolled up to subsequent data marts ?
    The SAP error message RSDA149 indicates that not all requests have been successfully rolled up to the subsequent data marts in the context of SAP BW (Business Warehouse) or SAP BW/4HANA. This error typically arises during the data loading or data processing phases when there are issues with the data transfer from one layer to another.
    Causes:
    
    Data Transfer Issues: There may be problems with the data transfer process, such as network issues, system downtime, or configuration errors.
    Data Quality Issues: The data being processed may contain inconsistencies, duplicates, or errors that prevent successful roll-up.
    Request Status: Some requests may be in a status that does not allow them to be rolled up (e.g., canceled or failed requests).
    Data Mart Configuration: The configuration of the data mart may not be set up correctly, leading to issues in data aggregation.
    Process Chain Errors: If the data loading is part of a process chain, errors in previous steps

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