How To Fix IFME_TREE_CHECK093 - If delimiters are always used, record &1 cannot contain more records


SAP Error Message - Details

  • Message type: E = Error

  • Message class: IFME_TREE_CHECK -

  • Message number: 093

  • Message text: If delimiters are always used, record &1 cannot contain more records

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  • What causes this issue?

    You selected the <LB>Delimiter Always Used</> value as field separation
    either under <LS>Format Mapping Properties</> or for the specific
    record. The record, however, contains other records as its subnodes.

    System Response

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

    How to fix this error?

    If you select the value <LB>Delimiter Always Used</> as field
    separation, you must ensure that the relevant record does not have any
    records as its subnodes.

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message IFME_TREE_CHECK093 - If delimiters are always used, record &1 cannot contain more records ?

    The SAP error message IFME_TREE_CHECK093 typically occurs in the context of data processing or data import/export operations, particularly when dealing with hierarchical data structures. This error indicates that there is an issue with the way records are being structured, specifically when delimiters are used.

    Cause:

    The error message suggests that the system has detected a problem with the record structure. Specifically, it indicates that if delimiters are consistently used, the record identified (denoted by &1) cannot contain additional records. This usually happens when:

    1. Incorrect Record Structure: The record is not formatted correctly according to the expected structure, leading to confusion about where one record ends and another begins.
    2. Excessive Delimiters: There may be too many delimiters present in the record, which can cause the system to misinterpret the data.
    3. Hierarchical Data Issues: If the data is hierarchical, the structure may not be properly defined, leading to issues with how records are nested.

    Solution:

    To resolve this error, you can take the following steps:

    1. Check Record Format: Review the format of the record that is causing the error. Ensure that it adheres to the expected structure and that delimiters are used correctly.
    2. Validate Delimiters: Ensure that the delimiters are used consistently and appropriately. If you are using a specific delimiter to separate records, make sure that it is not being used incorrectly within a single record.
    3. Review Hierarchical Structure: If the data is hierarchical, ensure that the parent-child relationships are correctly defined and that there are no missing or extra records.
    4. Test with Sample Data: If possible, test the import or processing with a smaller set of sample data to isolate the issue and identify what might be causing the error.
    5. Consult Documentation: Refer to SAP documentation or guidelines related to the specific module or function you are working with to ensure compliance with data structure requirements.

    Related Information:

    • SAP Notes: Check SAP Notes for any known issues or patches related to this error message. SAP frequently updates its knowledge base with solutions for common errors.
    • Transaction Codes: Depending on the context of the error, you may want to look into specific transaction codes related to data import/export or hierarchical data processing.
    • Community Forums: SAP Community and other forums can be valuable resources for finding similar issues faced by other users and the solutions they implemented.

    If the problem persists after following these steps, consider reaching out to your SAP support team or consulting with an SAP expert for further assistance.

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