How To Fix HRPAYDESV051 - Update error at table PB2ADATA for sender &1 and receiving office &2


HRPAYDESV051 - Overview

  • Message type: E = Error

  • Message class: HRPAYDESV - Error Messages Germany Payroll, Social Insurance

  • Message number: 051

  • Message text: Update error at table PB2ADATA for sender &1 and receiving office &2

  • Show details Hide details
  • What causes this issue?

    Information is saved in table PB2ADATA for sending notifications with
    type &V3&. This information includes the name of the TemSe file
    containing the opening record, the reporting data, the closing record,
    the request record, and the file name for e-mail attachments.
    The attempt to write this data to table PB2ADATA failed.

    System Response

    The transfer does not take place.

    How to fix this error?

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


HRPAYDESV051 - Details

  • The SAP error message HRPAYDESV051 indicates an update error in the table PB2ADATA, which is related to the payroll process in the Human Resources (HR) module. This error typically occurs during the data transfer process between different systems or modules, particularly when dealing with payroll data.
    
    Cause: Data Inconsistency: There may be inconsistencies in the data being processed, such as missing or incorrect entries in the relevant tables. Authorization Issues: The user or process attempting to perform the update may not have the necessary authorizations to write to the PB2ADATA table. Technical Issues: There could be a technical issue, such as a database lock or a problem with the underlying database system. Configuration Errors: Incorrect configuration settings in the payroll or data transfer process can lead to this error. Missing Data: Required fields in the data being sent may be missing or incorrectly formatted.
    Solution: Check Data Consistency: Review the data being processed for any inconsistencies or missing

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