How To Fix EDOCUMENT_SRC_PARSER002 - &1 field type differs from source (structured) and eDocument (elementary)


EDOCUMENT_SRC_PARSER002 - Overview

  • Message type: E = Error

  • Message class: EDOCUMENT_SRC_PARSER - eDocument Source Parser Message Class

  • Message number: 002

  • Message text: &1 field type differs from source (structured) and eDocument (elementary)

  • Show details Hide details
  • What causes this issue?

    The data available in your source document is not accepted, since the
    values inserted does not match with the ABAP structure. As a result, the
    system is not able to insert this and proceed with your business
    transactions.

    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?

    Please review your source document and correct any inconsistency in the
    related values.

    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 EDOCUMENT_SRC_PARSER002 - &1 field type differs from source (structured) and eDocument (elementary) ?
    The SAP error message EDOCUMENT_SRC_PARSER002 indicates that there is a mismatch between the field types in the source data (structured) and the eDocument (elementary) format. This typically occurs when the data being processed does not conform to the expected structure or data type defined in the eDocument schema.
    
    Cause: Data Type Mismatch: The source data may contain a field that is expected to be of a certain type (e.g., string, integer, date) but is being provided in a different format. Schema Definition Issues: The eDocument schema may have been defined incorrectly, leading to discrepancies between the expected and actual data types. Incorrect Mapping: The mapping between the source data and the eDocument may not be set up correctly, causing the system to expect a different data type. Data Quality Issues: The source data may contain invalid or unexpected values that do not match the expected data types.
    Solution: Check Data Types: Review the data types defined in

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