How To Fix RSANA_UMM_API149 - &1 predictive scenarios will be processed.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RSANA_UMM_API - UMM API Messages

  • Message number: 149

  • Message text: &1 predictive scenarios will be processed.

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    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.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message RSANA_UMM_API149 - &1 predictive scenarios will be processed. ?

    The SAP error message RSANA_UMM_API149 typically relates to issues encountered in the context of predictive analytics or the SAP Analytics Cloud (SAC) when working with predictive scenarios. This error message indicates that there are a certain number of predictive scenarios that are queued for processing, but there may be issues preventing them from being executed.

    Cause:

    1. System Performance: The system may be experiencing performance issues, leading to delays in processing predictive scenarios.
    2. Configuration Issues: There may be misconfigurations in the predictive scenario settings or in the underlying data models.
    3. Data Quality: The data being used for the predictive scenarios may have quality issues, such as missing values or incorrect formats.
    4. Resource Limitations: The system may be running out of resources (e.g., memory, CPU) to process the predictive scenarios.
    5. Locks or Conflicts: There may be locks on the data or conflicts with other processes that are preventing the scenarios from being executed.

    Solution:

    1. Check System Performance: Monitor the system performance and resource usage. If the system is under heavy load, consider scheduling the predictive scenarios during off-peak hours.
    2. Review Configuration: Verify the configuration of the predictive scenarios. Ensure that all settings are correct and that the scenarios are properly defined.
    3. Data Quality Checks: Conduct data quality checks to ensure that the data used in the predictive scenarios is clean and properly formatted. Address any issues found.
    4. Increase Resources: If resource limitations are identified, consider increasing the resources allocated to the SAP system (e.g., adding more memory or CPU).
    5. Check for Locks: Investigate if there are any locks on the data or conflicts with other processes. You can use transaction codes like SM12 to check for locks.
    6. Review Logs: Check the application logs and system logs for any additional error messages or warnings that may provide more context about the issue.

    Related Information:

    • SAP Notes: Check the SAP Support Portal for any relevant SAP Notes that may address this specific error message or provide additional troubleshooting steps.
    • Documentation: Review the official SAP documentation for predictive analytics and the specific features you are using to ensure that you are following best practices.
    • Community Forums: Engage with the SAP Community or other forums where users discuss similar issues. You may find solutions or workarounds shared by other users.

    If the issue persists after trying the above solutions, consider reaching out to SAP Support for further assistance.

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