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Message type: E = Error
Message class: /ATL/FORM_6111 -
Message number: 022
Message text: Field code & is reported more than once in the file
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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/ATL/FORM_6111022
- Field code & is reported more than once in the file ?The SAP error message
/ATL/FORM_6111022
indicates that a field code is reported more than once in the file being processed. This typically occurs in the context of data uploads or processing in SAP, particularly when dealing with data files that are expected to conform to a specific structure or format.Cause:
- Duplicate Entries: The most common cause of this error is that the data file being uploaded contains duplicate entries for a specific field code. This could happen due to data extraction issues, manual errors, or incorrect data preparation.
- Incorrect File Format: The file may not be formatted correctly, leading to misinterpretation of the data by the SAP system.
- Data Validation Rules: The system may have specific validation rules that require unique entries for certain fields, and duplicates violate these rules.
Solution:
- Check the Data File: Review the data file for duplicate entries for the specified field code. You can use spreadsheet software or data processing tools to identify and remove duplicates.
- Data Preparation: Ensure that the data is prepared correctly before uploading. This includes validating the data against the expected format and structure.
- Modify Upload Process: If duplicates are expected in certain scenarios, consider modifying the upload process or the validation rules in SAP to accommodate these cases.
- Consult Documentation: Refer to the SAP documentation or help resources related to the specific transaction or process you are using to understand the expected data structure and constraints.
- Testing: After making corrections, test the upload process with a smaller subset of data to ensure that the issue is resolved before attempting a full upload.
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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