How To Fix AQ_AD_HOC229 - The aggregation of a numerical field caused an overflow


SAP Error Message - Details

  • Message type: E = Error

  • Message class: AQ_AD_HOC - SAP Query: Ad Hoc Query Messages

  • Message number: 229

  • Message text: The aggregation of a numerical field caused an overflow

  • Show details Hide details
  • What causes this issue?

    The statistics or ranked list contains a numerical field. Each of the
    values in this field are added together in relation to the standard key
    (all non-numerical fields).
    Since, for technical reasons, the size of the field corresponds to the
    reference field in the data dictionary, the fields may overflow.

    System Response

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

    How to fix this error?

    Use the 'Output' pushbutton in the menu bar to execute the query in
    full screen mode.

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message AQ_AD_HOC229 - The aggregation of a numerical field caused an overflow ?
    The SAP error message AQ_AD_HOC229 indicates that there has been an overflow during the aggregation of a numerical field in a query or report. This typically occurs when the result of an aggregation operation (like SUM, AVG, etc.) exceeds the maximum limit that can be stored in the data type defined for that field.
    Causes:
    
    Data Type Limitations: The numerical field being aggregated may have a data type that cannot accommodate the resulting value. For example, if the field is defined as an integer and the sum exceeds the maximum value for an integer.
    Large Data Volume: If the dataset being processed is very large, the aggregation might produce a value that exceeds the limits of the data type.
    Incorrect Data Handling: There may be issues with how data is being handled or transformed before aggregation, leading to unexpected large values.
    
    Solutions:
    
    Change Data Type: If possible, change the data type of the field being aggregated

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