How To Fix HRPAYKZ_REPORTING052 - No infotype &1 with field &3 = (&2) exists


HRPAYKZ_REPORTING052 - Overview

  • Message type: E = Error

  • Message class: HRPAYKZ_REPORTING - HR-KZ: General messages for Reporting

  • Message number: 052

  • Message text: No infotype &1 with field &3 = (&2) exists

  • Show details Hide details
  • What causes this issue?

    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?

    Ensure that this subtype exists for the infotype in use
    Ensure that the date that you have entered in the
    <DS:DE.BONDT>Payment Date</> field lies within the period that you have
    specified in the
    <DS:SIMG.OHAKZ_OFFCYCLE_0016>Define Content of Employee Selection
    Process</> Customizing activity
    Ensure that the <LS>Field Name</> and <LS>Filed Value</> fields contain
    the relevant values

    Procedure for System Administrators

    What causes this issue?

    System Response


    Error message extract from SAP system. Copyright SAP SE.


HRPAYKZ_REPORTING052 - Details

  • The SAP error message HRPAYKZ_REPORTING052 indicates that there is an issue with the infotype being accessed in the payroll process. Specifically, the message states that there is no infotype with the specified field and value. Here’s a breakdown of the components of the error message:
    
    Infotype &1: This refers to the specific infotype that the system is trying to access.
    Field &3: This is the field within the infotype that is being referenced.
    Value &2: This is the value that the system is looking for in the specified field.
    
    Cause
    The error typically occurs due to one of the following reasons:
    
    Missing Infotype: The specified infotype does not exist for the employee or the specific context in which it is being accessed.
    Incorrect Field Value: The value being searched for in the specified field does not match any existing records in the infotype.
    Data Inconsistency: There may be inconsistencies in the data, such as missing entries or incorrect

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