How To Fix RSCNV516 - Invalid type for operation &1


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSCNV - Messages class for Metadata Remodeling Toolbox

  • Message number: 516

  • Message text: Invalid type for operation &1

  • Show details Hide details
  • What causes this issue?

    The operation is invalid if it does not meet the criteria for the
    following operations:
    Add characteristic : The new InfoObject specified must be a
    characteristic. The InfoObject type must match the type of dimension to
    which the InfoObject is added.
    Example: Time characteristics can only be added to time dimensions.
    Units can only be added to units ,,dimensions and so on.
    Add key figure : The new InfoObject specified must be a key figure.
    Delete characteristic : The InfoObject specified must be a
    characteristic.
    Delete key figure : The InfoObject specified must be a key figure.
    Replace characteristic : The new InfoObject specified must be a
    characteristic and its type must match the type of the InfoObject being
    replaced.
    Example: Time characteristics can only replace time characteristics and
    so on.
    The old InfoObject, that is the InfoObject that is being replaced, must
    also be a characteristic.
    Replace key figure : The new InfoObject and the InfoObject that is to be
    replaced must be key figures.

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

    System Response

    How to fix this error?

    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 RSCNV516 - Invalid type for operation &1 ?

    The SAP error message RSCNV516 "Invalid type for operation &1" typically occurs during data conversion or transformation processes in SAP, particularly when the system encounters a data type that is not compatible with the expected operation. This error can arise in various contexts, such as during data loading, data processing, or when executing certain functions that require specific data types.

    Causes:

    1. Data Type Mismatch: The most common cause is that the data being processed does not match the expected data type for the operation. For example, trying to perform arithmetic operations on a string instead of a numeric type.
    2. Incorrect Field Mapping: If you are using a data transformation tool or a data load process, the mapping of fields may be incorrect, leading to type mismatches.
    3. Invalid Input Data: The input data may contain invalid or unexpected values that cannot be converted to the required type.
    4. Configuration Issues: There may be issues in the configuration of the data processing or transformation logic that lead to type mismatches.

    Solutions:

    1. Check Data Types: Review the data types of the fields involved in the operation. Ensure that they are compatible with the expected types for the operation being performed.
    2. Validate Input Data: Inspect the input data for any invalid values or formats that could lead to type conversion issues. Clean or preprocess the data as necessary.
    3. Review Field Mapping: If you are using a data transformation tool, double-check the field mappings to ensure that they are correctly defined and that the source and target fields are compatible.
    4. Debugging: If you have access to debugging tools, you can trace the execution of the program or process to identify where the type mismatch occurs.
    5. Consult Documentation: Refer to SAP documentation or help resources for specific functions or operations to understand the expected data types and formats.

    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.
    • Community Forums: SAP Community and other forums can be valuable resources for finding similar issues faced by other users and the solutions they implemented.
    • Data Dictionary: Review the Data Dictionary (SE11) in SAP to understand the definitions and types of the fields involved in the operation.

    If the issue persists after trying the above solutions, consider reaching out to your SAP support team or consulting with an SAP expert for further assistance.

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