How To Fix MDQ_RM_PROCESS019 - For rule mining &1 the technical mining was started with ID &2.


SAP Error Message - Details

  • Message type: E = Error

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

  • Message number: 019

  • Message text: For rule mining &1 the technical mining was started with ID &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_PROCESS019 - For rule mining &1 the technical mining was started with ID &2. ?

    The SAP error message MDQ_RM_PROCESS019 typically occurs in the context of rule mining within the SAP system, particularly when dealing with the Data Mining and Predictive Analytics functionalities. This error indicates that a technical mining process has been initiated, but there may be issues related to the execution or configuration of that process.

    Cause:

    1. Technical Issues: The mining process may have encountered a technical issue, such as insufficient resources (memory, CPU) or a timeout.
    2. Configuration Errors: There may be misconfigurations in the mining settings or parameters that are preventing the process from completing successfully.
    3. Data Quality Issues: The data being used for mining may have inconsistencies, missing values, or other quality issues that hinder the mining process.
    4. System Limitations: The system may have limitations in terms of the number of concurrent mining processes that can be executed.

    Solution:

    1. Check System Resources: Ensure that the system has adequate resources (memory, CPU) available for the mining process. Monitor system performance during the execution of the mining job.
    2. Review Configuration: Verify the configuration settings for the mining process. Ensure that all parameters are set correctly and that the data sources are properly defined.
    3. Data Quality Assessment: Conduct a thorough assessment of the data being used for mining. Clean the data to address any inconsistencies or missing values.
    4. Log Analysis: Check the logs for more detailed error messages or warnings that can provide insights into what went wrong during the mining process.
    5. Retry the Process: After addressing any identified issues, try to rerun the mining process to see if the error persists.
    6. Consult Documentation: Refer to SAP documentation or notes related to the specific version of the software you are using for any known issues or patches that may address this error.
    7. Contact SAP Support: If the issue persists after trying the above solutions, consider reaching out to SAP support for further assistance.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may provide additional context or solutions for this specific error message.
    • Transaction Codes: Familiarize yourself with relevant transaction codes related to data mining and rule mining in SAP, such as MDQ1, MDQ2, etc.
    • Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed, and solutions shared.

    By following these steps, you should be able to diagnose and resolve the MDQ_RM_PROCESS019 error effectively.

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