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Message type: E = Error
Message class: OIU_MASS_UPLOAD - Message class for Mass Upload
Message number: 034
Message text: Invalid value &1 specified for field &2.
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OIU_MASS_UPLOAD034
- Invalid value &1 specified for field &2. ?The SAP error message OIU_MASS_UPLOAD034, which states "Invalid value &1 specified for field &2," typically occurs during data uploads or mass data processing in the SAP system, particularly in the Oil and Gas (O&G) industry solutions. This error indicates that the value provided for a specific field does not meet the expected criteria or is not valid according to the system's configuration.
Cause:
- Invalid Data Entry: The value being uploaded for the specified field does not conform to the expected format, type, or range defined in the system.
- Field Configuration: The field may have specific validation rules or constraints that the provided value does not satisfy.
- Missing Master Data: The value may refer to a master data record that does not exist in the system.
- Data Type Mismatch: The data type of the value being uploaded may not match the expected data type for that field (e.g., trying to upload a string where a numeric value is expected).
Solution:
- Check the Value: Review the value specified for the field in the upload file or data entry. Ensure it is correct and adheres to the expected format.
- Validate Against Master Data: Ensure that any references (like codes or IDs) correspond to existing master data records in the system.
- Review Field Configuration: Check the configuration of the field in the SAP system to understand the validation rules and constraints. This can often be done through transaction codes like SE11 (Data Dictionary) or SE80 (Object Navigator).
- Correct Data Type: Ensure that the data type of the value being uploaded matches the expected data type for the field.
- Consult Documentation: Refer to the relevant SAP documentation or help files for specific details about the field and its expected values.
- Test with Sample Data: If possible, test the upload with a smaller set of data to isolate the issue and identify which specific values are causing the error.
Related Information:
By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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