How To Fix 54595 - There are several results with identical FOR and IN information


54595 - Overview

  • Message type: E = Error

  • Message class: 54 - Messages for HR tables

  • Message number: 595

  • Message text: There are several results with identical FOR and IN information

  • Show details Hide details
  • What causes this issue?

    A payroll result with for-period and in-period information is clear.
    However, in this cae, there are two or more periods where the
    for-period and in-period information does not differ, for example, this
    error will occur if a result exists with for-period 01.1996, and
    in-period 01.1996, and with the sequential index 0001 and 0003.

    How to fix this error?

    Before you can delete the last payroll result, you must ensure that the
    for-period and in-period information for the result is clear. Call up
    program RPUDIR00 and remove the error.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message 54595 - There are several results with identical FOR and IN information ?
    The SAP error message 54595, which states "There are several results with identical FOR and IN information," typically occurs in the context of data retrieval or processing where the system encounters multiple entries that match the same criteria. This can happen in various scenarios, such as when working with reports, queries, or data selection processes.
    
    Cause: The error is generally caused by: Duplicate Entries: There are multiple records in the database that have the same values for the fields specified in the "FOR" and "IN" clauses of your query or selection criteria. Ambiguous Data: The system cannot determine which record to use because the criteria do not uniquely identify a single record.
    Configuration Issues: In some cases, the configuration of the data model or the way data is structured may lead to this ambiguity.
    Solution: To resolve this error, you can take the following steps: Check for Duplicates: Review the data in the relevant tables to identify if there

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