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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
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.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Use the 'Output' pushbutton in the menu bar to execute the query in
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Error message extract from SAP system. Copyright SAP SE.
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 to a larger type (e.g., from INTEGER to BIGINT or DECIMAL) that can accommodate larger values.
- Limit Data Volume: If the dataset is too large, consider filtering the data to reduce the volume before performing the aggregation. This can be done by applying appropriate WHERE clauses or using other filtering techniques.
- Review Data: Check the underlying data for any anomalies or outliers that may be causing the overflow. Correcting these values may resolve the issue.
- Use Intermediate Calculations: Instead of aggregating all data at once, consider breaking the aggregation into smaller parts or using intermediate calculations to avoid overflow.
- Adjust Query Logic: Review the logic of the query or report to ensure that it is correctly structured and that it does not inadvertently lead to large aggregation results.
Related Information:
If the issue persists after trying the above solutions, it may be beneficial to consult with your SAP support team or a technical consultant who can provide more tailored assistance based on your specific environment and data model.
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