How To Fix R7770 - Too many characteristics (&2) are assigned to dimension &1


R7770 - Overview

  • Message type: E = Error

  • Message class: R7 - BW: Data basis

  • Message number: 770

  • Message text: Too many characteristics (&2) are assigned to dimension &1

  • Show details Hide details
  • What causes this issue?

    Too many characteristics were assigned to the specified dimension.
    The database table to be created for a dimension of a "normal" InfoCube
    may not contain more than 249 fields. You therefore may assign a maximum
    of 248 characteristics.
    If, however, the property <LS>DIMID's </>was defined one-to-one for an
    InfoCube, a <LS>unique index</> is created on the characteristics of the
    dimension. In this case you can assign a maximum of 16 characteristics
    for each dimension.

    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?

    Assign individual characteristics to another dimension or to a new
    dimension so that the above limit is not exceeded.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message R7770 - Too many characteristics (&2) are assigned to dimension &1 ?
    The SAP error message R7770, which states "Too many characteristics (&2) are assigned to dimension &1," typically occurs in the context of SAP BW (Business Warehouse) or SAP HANA when there are too many characteristics assigned to a single dimension in a data model or InfoObject. This can lead to performance issues and is subject to system limitations.
    
    Cause: Exceeding Limits: Each dimension in SAP BW has a limit on the number of characteristics that can be assigned to it. When this limit is exceeded, the system generates the R7770 error. Model Design: Poor design of the data model can lead to an excessive number of characteristics being assigned to a single dimension. Data Volume: High data volume and complexity can exacerbate the issue, especially if many characteristics are being used in queries or reports.
    Solution: Review Dimension Design: Analyze the design of the dimension and consider whether all assigned characteristics are necessary. If some characteristics

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