How To Fix OIUREP_ROY_REPORTING323 - Job & was canceled. Please restart the job.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: OIUREP_ROY_REPORTING - Message Class for Royalty Reporting

  • Message number: 323

  • Message text: Job & was canceled. Please restart the job.

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message OIUREP_ROY_REPORTING323 - Job & was canceled. Please restart the job. ?

    The SAP error message "OIUREP_ROY_REPORTING323 Job & was canceled. Please restart the job." typically indicates that a background job related to reporting has been terminated unexpectedly. This can happen for various reasons, and understanding the cause is crucial for resolving the issue. Here are some common causes, potential solutions, and related information:

    Causes:

    1. Resource Limitations: The job may have been canceled due to insufficient system resources (memory, CPU, etc.) or timeouts.
    2. Data Issues: There may be issues with the data being processed, such as inconsistencies or corruption.
    3. Configuration Errors: Incorrect configuration settings in the job or related processes can lead to job failures.
    4. Authorization Issues: The user executing the job may not have the necessary authorizations to access certain data or perform specific actions.
    5. System Errors: There could be underlying system errors or issues with the SAP application itself.

    Solutions:

    1. Check Job Logs: Review the job logs for detailed error messages or warnings that can provide insights into why the job was canceled. You can do this in transaction code SM37.
    2. Restart the Job: If the issue seems transient, simply restarting the job may resolve the problem. Ensure that you monitor it closely after restarting.
    3. Resource Monitoring: Check system performance metrics to ensure that there are enough resources available. If necessary, optimize the job or schedule it during off-peak hours.
    4. Data Validation: Validate the data being processed by the job. Look for any inconsistencies or errors in the data that could cause the job to fail.
    5. Configuration Review: Review the job configuration settings to ensure they are correct. This includes checking parameters, variants, and any dependencies.
    6. Authorization Check: Ensure that the user executing the job has the necessary authorizations. You can check this in transaction code SU53 or by consulting with your security team.
    7. Consult SAP Notes: Check the SAP Support Portal for any relevant SAP Notes that may address known issues related to this error message.

    Related Information:

    • Transaction Codes:

      • SM37: Monitor background jobs.
      • SM21: Check system logs for errors.
      • ST22: Analyze dump analysis for ABAP runtime errors.
      • SU53: Check authorization issues.
    • SAP Support: If the issue persists after trying the above solutions, consider reaching out to SAP Support for further assistance. Provide them with the job details, logs, and any error messages encountered.

    By following these steps, you should be able to identify the cause of the job cancellation and take appropriate action to resolve the issue.

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