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Message type: E = Error
Message class: RSB4HANA - B4HANA
Message number: 125
Message text: Object &1, TLOGO &2: check &3 &4
Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.
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RSB4HANA125
- Object &1, TLOGO &2: check &3 &4 ?The SAP error message RSB4HANA125 typically relates to issues with the data extraction process in SAP BW (Business Warehouse) when working with HANA. This error indicates that there is a problem with the data source or the transformation logic that is being used to extract data from the source system into the BW system.
Cause:
The error message RSB4HANA125 can be caused by several factors, including:
- Incorrect Configuration: The data source or transformation might not be configured correctly.
- Missing Objects: The object (like InfoObject, DSO, or InfoCube) or TLOGO (Transformation Logic Object) referenced in the error message may not exist or may be inactive.
- Data Model Issues: There could be issues with the underlying data model, such as missing or incorrect mappings.
- Authorization Issues: The user executing the data extraction may not have the necessary authorizations to access the required objects.
- Data Quality Issues: There may be issues with the data itself, such as inconsistencies or missing values that prevent successful extraction.
Solution:
To resolve the RSB4HANA125 error, you can follow these steps:
- Check Object Existence: Verify that the object &1 (the data source) and TLOGO &2 (the transformation logic) exist and are active in the system.
- Review Configuration: Ensure that the configuration for the data source and transformation is correct. Check the settings in the DataSource and Transformation maintenance transactions.
- Check Data Model: Review the data model to ensure that all mappings are correct and that there are no missing or inactive objects.
- Authorization Check: Ensure that the user has the necessary authorizations to access the data source and transformation.
- Data Quality Assessment: Check the data for any inconsistencies or missing values that could be causing the extraction to fail.
- Logs and Traces: Review the logs and traces for more detailed error messages that can provide additional context on the issue.
Related Information:
If the issue persists after following these steps, consider reaching out to SAP support for further assistance.
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