How To Fix FINS_CFIN_MAPPING023 - Too many columns in a row in the CSV file.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: FINS_CFIN_MAPPING - Central Finance: Messages for Mapping

  • Message number: 023

  • Message text: Too many columns in a row in the CSV file.

  • Show details Hide details
  • What causes this issue?

    In the CSV file there are rows that have more columns than expected for
    the mapping entity:
    For example, if you are attempting to map company codes of a source
    system to company codes of the <LS>Central Finance</> system, the system
    expects two columns, one for the source company code and one for the
    target company code. Or, if you are attempting to map cost center IDs of
    a source system to cost center IDs of the <LS>Central Finance</> system,
    the system expects four columns to be filled: the source controlling
    area, the source cost center, the target controlling area and the target
    cost center.

    System Response

    The rows with too many columns are <ZH>not</> uploaded to the <LS>
    Central Finance</> system.

    How to fix this error?

    Please check the CSV file. You might want to correct the respective rows
    and upload only those again to the <LS>Central Finance</> system.

    Procedure for System Administrators

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message FINS_CFIN_MAPPING023 - Too many columns in a row in the CSV file. ?

    The SAP error message FINS_CFIN_MAPPING023 indicates that there are too many columns in a row in the CSV file being processed. This error typically occurs during data uploads or migrations, particularly in the context of financial data or when using tools like SAP Central Finance.

    Cause:

    1. Exceeding Column Limit: The CSV file may have more columns than the system can handle. Different SAP modules have specific limits on the number of columns that can be processed in a single row.
    2. Incorrect File Format: The CSV file may not be formatted correctly, leading to misinterpretation of the data structure.
    3. Data Mapping Issues: If the mapping configuration for the data upload is incorrect, it may lead to an unexpected number of columns being generated.

    Solution:

    1. Check Column Count: Review the CSV file to ensure that the number of columns does not exceed the maximum limit set by SAP for the specific transaction or data upload process. You may need to refer to the SAP documentation for the specific limits.
    2. Adjust the CSV File: If the file has too many columns, consider splitting the data into multiple files or reducing the number of columns by removing unnecessary data.
    3. Validate File Format: Ensure that the CSV file is properly formatted. Each row should have the same number of columns, and the delimiter (usually a comma) should be consistent.
    4. Review Mapping Configuration: Check the mapping configuration in the SAP system to ensure that it aligns with the structure of the CSV file. Make adjustments as necessary to ensure that the data is correctly mapped to the target fields in SAP.
    5. Test with Sample Data: Before processing large datasets, test the upload with a smaller sample of data to ensure that the configuration and file format are correct.

    Related Information:

    • SAP Documentation: Refer to the official SAP documentation for guidelines on data uploads, including the maximum number of columns allowed for specific transactions.
    • SAP Community: Engage with the SAP Community forums for insights and solutions from other users who may have encountered similar issues.
    • Error Logs: Check the error logs in SAP for additional details that may help diagnose the issue further.

    By following these steps, you should be able to resolve the FINS_CFIN_MAPPING023 error and successfully upload your data.

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