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


IFME_TREE_CHECK093 - Overview

  • 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

  • Show details Hide details
  • 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: 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. Excessive Delimiters: There may be too many delimiters present in the record, which can cause the system to misinterpret the data. 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,

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