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Message type: E = Error
Message class: /SAPAPO/MA -
Message number: 067
Message text: Entry deleted: Combination InfoCube - key figure not unique
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/SAPAPO/MA067
- Entry deleted: Combination InfoCube - key figure not unique ?The SAP error message
/SAPAPO/MA067 Entry deleted: Combination InfoCube - key figure not unique
typically occurs in the context of SAP Advanced Planning and Optimization (APO) when there is an issue with the data being loaded into an InfoCube. This error indicates that there is a problem with the uniqueness of key figures in the InfoCube, which can lead to data integrity issues.Cause:
Duplicate Key Figures: The most common cause of this error is that the data being loaded into the InfoCube contains duplicate entries for a combination of characteristics and key figures. In other words, the same combination of dimensions (characteristics) has multiple values for the same key figure, which violates the uniqueness constraint of the InfoCube.
Data Source Issues: The source data being extracted may have duplicates or inconsistencies that lead to this error when trying to load it into the InfoCube.
Transformation Logic: If there are issues in the transformation logic (e.g., in the Data Transfer Process (DTP) or transformation rules), it may result in duplicate records being generated.
Solution:
Check Source Data: Review the source data to identify any duplicates. You can use queries or reports to analyze the data for the specific combination of characteristics and key figures that are causing the issue.
Adjust Transformation Rules: If the issue is related to the transformation logic, you may need to adjust the rules to ensure that duplicates are handled correctly. This could involve aggregating data or ensuring that only unique records are passed through.
Use Aggregation: If appropriate, consider using aggregation in your data load process to ensure that only unique combinations of key figures are loaded into the InfoCube.
Data Cleansing: Implement data cleansing processes to remove duplicates from the source data before it is loaded into the InfoCube.
Check InfoCube Design: Review the design of the InfoCube to ensure that it is set up correctly to handle the expected data. This includes checking the characteristics and key figures defined in the InfoCube.
Error Handling: Implement error handling in your data load process to capture and log errors, which can help in diagnosing issues in the future.
Related Information:
RSA1
(Data Warehousing Workbench) to monitor and manage your InfoCubes and data loads.By following these steps, you should be able to identify the root cause of the error and implement a solution to resolve it.
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