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Message type: E = Error
Message class: RSODSO_GUI - UI related messages
Message number: 006
Message text: Row &1: Data element &2 does not exist
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RSODSO_GUI006
- Row &1: Data element &2 does not exist ?The SAP error message RSODSO_GUI006 typically indicates that there is an issue with a data element in a DataStore Object (DSO) or InfoProvider. Specifically, the error message states that a certain data element (identified by &2) does not exist for the row (identified by &1) in the context of the operation you are trying to perform.
Cause:
- Missing Data Element: The data element referenced in the error message may not exist in the system. This could be due to a deletion, a transport issue, or a misconfiguration.
- Incorrect Data Model: The DSO or InfoProvider may have been modified, and the data element was not properly updated or removed from the data model.
- Transport Issues: If the DSO was transported from one system to another, the data element may not have been included in the transport request.
- Versioning Issues: If you are working with different versions of the DSO or InfoProvider, the data element may exist in one version but not in another.
Solution:
- Check Data Element Existence: Verify if the data element exists in the system. You can do this by navigating to the Data Dictionary (transaction SE11) and checking for the data element by its name.
- Update Data Model: If the data element is missing, you may need to update the DSO or InfoProvider to include the correct data element. This may involve modifying the structure of the DSO or InfoProvider.
- Transport Check: If the issue arose after a transport, check the transport logs to ensure that all necessary objects were included in the transport request. You may need to re-transport the missing data element.
- Rebuild DSO: In some cases, it may be necessary to rebuild the DSO or InfoProvider to ensure that all elements are correctly defined and linked.
- Consult Documentation: Review any relevant documentation or change logs to understand if there were any recent changes that could have affected the data model.
Related Information:
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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