How To Fix MDQ_RM_PROCESS017 - Error setting status of mining run &1 to 'Error' (&2).


SAP Error Message - Details

  • Message type: E = Error

  • Message class: MDQ_RM_PROCESS - MDQ Rule Mining Process Message Class

  • Message number: 017

  • Message text: Error setting status of mining run &1 to 'Error' (&2).

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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 MDQ_RM_PROCESS017 - Error setting status of mining run &1 to 'Error' (&2). ?

    The SAP error message MDQ_RM_PROCESS017 typically indicates that there was an issue while trying to set the status of a mining run to 'Error'. This can occur in the context of SAP's Data Mining or Predictive Analytics functionalities, where a mining run is a process that executes a data mining algorithm on a dataset.

    Possible Causes:

    1. Data Issues: There may be issues with the data being processed, such as missing values, incorrect data types, or data that does not meet the requirements of the mining algorithm.
    2. Configuration Problems: The mining run may not be properly configured. This could include incorrect settings in the mining model or issues with the data source.
    3. System Errors: There could be underlying system errors, such as database connectivity issues, memory limitations, or other technical problems that prevent the mining run from completing successfully.
    4. Authorization Issues: The user executing the mining run may not have the necessary authorizations to perform the operation.

    Solutions:

    1. Check Data Quality: Review the dataset being used for the mining run. Ensure that it is clean, complete, and formatted correctly. Address any data quality issues.
    2. Review Configuration: Verify the configuration settings for the mining model and the mining run. Ensure that all parameters are set correctly and that the model is compatible with the data.
    3. Monitor System Performance: Check the system logs for any errors or warnings that may indicate performance issues. Ensure that the system has sufficient resources (memory, CPU, etc.) to execute the mining run.
    4. Check Authorizations: Ensure that the user has the necessary authorizations to execute the mining run. This may involve checking roles and permissions in the SAP system.
    5. Review Logs: Look at the detailed logs for the mining run to identify any specific errors or warnings that can provide more context about the failure.

    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 Data Mining and Predictive Analytics to ensure that you are following best practices for setting up and executing mining runs.
    • Community Forums: Consider reaching out to SAP community forums or user groups where other users may have encountered similar issues and can offer insights or solutions.

    If the problem persists after trying the above solutions, it may be beneficial to contact SAP support for further assistance.

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