How To Fix HRPADRU_COMMON_REPS836 - Batch size changed since productive run; file inconsistent


SAP Error Message - Details

  • Message type: E = Error

  • Message class: HRPADRU_COMMON_REPS - HR-RU: message class for common process of HR RU reports

  • Message number: 836

  • Message text: Batch size changed since productive run; file inconsistent

  • Show details Hide details
  • What causes this issue?

    You ran the report in correction mode and the batch size has changed
    since the last productive run for the batch or file selected. As
    required by the Russian Social Insurance Fund (FSS), the file with
    corrections must have the same name and size as the original one had.
    The report cannot restore the batch size and generates an inconsistent
    file.

    System Response

    The system stops processing the report.

    How to fix this error?

    Enter the same batch size that you used for the original file when you
    ran the report in production mode.

    Procedure for System Administrators

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


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message HRPADRU_COMMON_REPS836 - Batch size changed since productive run; file inconsistent ?

    The SAP error message HRPADRU_COMMON_REPS836 indicates that there is an inconsistency in the batch size of a file that is being processed in the HR (Human Resources) module, specifically related to the payroll or reporting processes. This error typically arises when the batch size of the data being processed has changed since the last productive run, leading to discrepancies in the expected data format or structure.

    Causes:

    1. Change in Batch Size: The most common cause is that the batch size for the payroll run or report has been altered after the last successful execution. This could happen due to configuration changes or updates in the payroll processing settings.
    2. Data Inconsistency: If there were manual changes made to the data or if there were issues during the data extraction or loading process, it could lead to inconsistencies.
    3. System Updates: Changes in the SAP system, such as updates or patches, may also affect how batch sizes are handled.
    4. Configuration Errors: Incorrect configuration in the payroll or reporting settings can lead to mismatches in expected batch sizes.

    Solutions:

    1. Check Batch Size Configuration: Review the configuration settings for the payroll or reporting process to ensure that the batch size is consistent with previous runs. This can usually be found in the payroll control record or the relevant configuration settings in the SAP HR module.
    2. Revert Changes: If the batch size was changed recently, consider reverting to the previous settings that were used during the last successful run.
    3. Data Consistency Check: Perform a consistency check on the data being processed. Ensure that there are no missing or corrupted records that could lead to inconsistencies.
    4. Re-run the Process: After making the necessary adjustments, try re-running the payroll or report process to see if the error persists.
    5. Consult Documentation: Refer to SAP documentation or notes related to this specific error message for any additional troubleshooting steps or patches that may be available.
    6. Contact SAP Support: If the issue cannot be resolved internally, consider reaching out to SAP support for assistance, providing them with the error message and any relevant logs or details.

    Related Information:

    • Transaction Codes: Familiarize yourself with relevant transaction codes such as PA03 (Maintain HR Master Data), PC00_MXX_CALC (Payroll Calculation), and others that may be involved in the payroll process.
    • SAP Notes: Check for any SAP Notes that may address this specific error or provide guidance on handling batch size issues.
    • Testing Environment: If possible, replicate the issue in a testing environment to better understand the cause without affecting production data.

    By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.

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