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Message type: E = Error
Message class: /BOFU/FDT_EXP_BO_RET -
Message number: 180
Message text: Line type &1 of table &2 must be struc. or element for result data
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/BOFU/FDT_EXP_BO_RET180
- Line type &1 of table &2 must be struc. or element for result data ?The SAP error message
/BOFU/FDT_EXP_BO_RET180
indicates that there is an issue with the data structure being used in a Business Object (BO) or a data extraction process. Specifically, the error states that the line type specified in the table must be either a structure or an element for the result data.Cause:
- Incorrect Data Type: The line type specified in the configuration or data extraction process is not recognized as a valid structure or element. This could happen if the data type is incorrectly defined or if there is a mismatch between the expected and actual data types.
- Configuration Issues: There may be a misconfiguration in the Business Object or the data extraction settings that leads to the system expecting a different type of data structure.
- Data Model Changes: If there have been recent changes to the data model or the underlying tables, the existing configurations may no longer be valid.
Solution:
- Check Data Types: Verify that the line type specified in the configuration is indeed a valid structure or element. You can do this by checking the data dictionary (SE11) for the relevant table or structure.
- Review Configuration: Go through the configuration settings for the Business Object or data extraction process to ensure that all settings are correct and that the expected data types align with what is defined in the system.
- Update Data Model: If there have been changes to the data model, ensure that all related configurations are updated accordingly. This may involve adjusting the mappings or definitions in the Business Object.
- Consult Documentation: Refer to SAP documentation or notes related to the specific Business Object or data extraction process to see if there are any known issues or additional configuration steps required.
- Testing: After making changes, perform tests to ensure that the error no longer occurs and that the data extraction or processing works as expected.
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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