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How To Fix BRAIN557 - Applied condition "&4" does not return a unique result


BRAIN557 - Overview

  • Message type: E = Error

  • Message class: BRAIN -

  • Message number: 557

  • Message text: Applied condition "&4" does not return a unique result

  • Show details Hide details
  • What causes this issue?

    The TOP or BOTTOM condition "&V4&" does not return a unique result.
    Another &V1& values with the same rank are outside the limit. To obtain
    a unique result, the threshold of the limit must be modified from &V2&
    to &V3&.
    For the conditions
    Top Number
    Top %
    Top Total
    Bottom Number
    Bottom n Percent
    Bottom Total
    the result is not unique if the last row in the result set and
    subsequent rows outside the result set have the same key figure value.
    The following example illustrates this using a Top 2 condition. The
    query returns the following rows that the condition is applied on
    (display: <(><<)>characteristic value> : <(><<)>key figure value>):
    A: 10
    B: 5
    C: 5
    D: 3
    There are two correct result sets for condition Top 2:
    A: 10
    B: 5
    and
    A: 10
    C: 5

    How to fix this error?

    Modify condition "&V4&" accordingly.

    Error message extract from SAP system. Copyright SAP SE.


BRAIN557 - Details

  • The SAP error message BRAIN557, which states "Applied condition '&4' does not return a unique result," typically occurs in the context of SAP BW (Business Warehouse) or SAP BI (Business Intelligence) when a query is executed, and the system is unable to determine a unique result based on the applied conditions or filters.
    
    Cause: Ambiguous Conditions: The condition specified in the query may not be specific enough to return a single result. This can happen if the condition is based on a characteristic that has multiple values in the data set. Data Model Issues: There may be issues with the underlying data model, such as duplicate entries or incorrect relationships between data objects. Incorrect Query Design: The query may be designed in a way that does not properly aggregate or filter the data, leading to multiple possible results. Missing Key Figures: If the query is missing key figures that are necessary for aggregation, it may

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