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Message type: E = Error
Message class: SQLM - SQL Monitor messages to the world
Message number: 083
Message text: Data from intervals with different settings cannot be aggregated
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SQLM083
- Data from intervals with different settings cannot be aggregated ?The SAP error message SQLM083, which states "Data from intervals with different settings cannot be aggregated," typically occurs in the context of reporting or data analysis when there is an attempt to aggregate data that has been collected or stored with different configurations or settings. This can happen in various scenarios, such as when using SAP BW (Business Warehouse), SAP HANA, or other SAP reporting tools.
Cause:
The error is usually caused by one of the following reasons:
- Different Time Intervals: The data being aggregated may come from different time intervals (e.g., daily, weekly, monthly) that are not compatible for aggregation.
- Different Characteristics: The data may have been collected with different characteristics or attributes that do not allow for straightforward aggregation.
- Inconsistent Data Sources: The data sources being used for the aggregation may have different settings or configurations, leading to inconsistencies.
- Aggregation Level Mismatch: The aggregation level defined in the query or report may not match the levels of the data being aggregated.
Solution:
To resolve the SQLM083 error, consider the following steps:
Check Data Sources: Ensure that all data sources being used for the aggregation have the same settings and configurations. This includes checking the time intervals, characteristics, and any other relevant settings.
Standardize Time Intervals: If the data comes from different time intervals, try to standardize them. For example, if you have daily and monthly data, you may need to convert them to a common interval before aggregation.
Review Query Settings: If you are using a query or report, review the settings to ensure that the aggregation levels are consistent with the data being pulled. Adjust the query to match the data characteristics.
Use Aggregation Functions: If applicable, use aggregation functions that can handle different data types or characteristics. For example, using SUM, AVG, or COUNT functions appropriately based on the data type.
Data Transformation: If necessary, perform data transformation or cleansing to ensure that the data being aggregated is compatible. This may involve creating new calculated fields or views that align the data.
Consult Documentation: Refer to SAP documentation or support resources for specific guidance related to the version of SAP you are using, as there may be version-specific considerations.
Related Information:
By following these steps, you should be able to identify the cause of the SQLM083 error and implement a solution to resolve it.
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