How To Fix J5244 - View &1: Compounding of characteristic &2 to &3 was ignored


J5244 - Overview

  • Message type: E = Error

  • Message class: J5 - External Data Transfer

  • Message number: 244

  • Message text: View &1: Compounding of characteristic &2 to &3 was ignored

  • Show details Hide details
  • What causes this issue?

    Compound characteristics are characteristics with values that are only
    unique when used in conjunction with the values of one or more other
    characteristics. To include a compound characteristic in a view, you
    must also include all characteristics with which it is linked.
    This condition was not met in the specified view.

    System Response

    The analysis structure to which the view belongs cannot be used.

    How to fix this error?

    Correct the view definition by including characteristic compounding.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message J5244 - View &1: Compounding of characteristic &2 to &3 was ignored ?
    The SAP error message J5244 indicates that there is an issue with the compounding of characteristics in a particular view. This error typically arises in the context of SAP's data modeling, particularly when working with InfoObjects in the Business Warehouse (BW) or similar environments.
    
    Cause: The error message J5244 occurs when the system encounters a situation where the compounding of a characteristic (e.g., a key figure or attribute) to another characteristic is not valid or cannot be processed as expected. This can happen due to several reasons: Missing or Incorrect Configuration: The characteristics involved in the compounding may not be properly configured in the data model. Incompatible Data Types: The characteristics being compounded may have incompatible data types or attributes. Hierarchy Issues: If the characteristics are part of a hierarchy, there may be issues with the hierarchy structure that prevent proper compounding. Data Integrity Issues: There may be issues with the underlying data that prevent the

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