How To Fix CM_MDQLTYRULEMINING007 - Rule mining run could not be started.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: CM_MDQLTYRULEMINING - Messages for Rule Mining Run

  • Message number: 007

  • Message text: Rule mining run could not be started.

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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.

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Smart SAP Assistant

  • What is the cause and solution for SAP error message CM_MDQLTYRULEMINING007 - Rule mining run could not be started. ?

    The SAP error message CM_MDQLTYRULEMINING007 indicates that a rule mining run could not be started. This error typically occurs in the context of SAP's Data Quality Management (DQM) or similar modules where rule mining is used to analyze data quality and generate rules based on the data.

    Possible Causes:

    1. Configuration Issues: The rule mining process may not be properly configured. This could include missing parameters or incorrect settings in the DQM configuration.
    2. Insufficient Authorizations: The user attempting to start the rule mining run may not have the necessary authorizations or roles assigned to execute this process.
    3. System Resource Limitations: The system may be experiencing resource constraints (e.g., memory, CPU) that prevent the rule mining process from starting.
    4. Data Issues: There may be issues with the data being analyzed, such as missing or corrupt data that prevents the rule mining from executing.
    5. Technical Errors: There could be underlying technical issues, such as bugs in the software or problems with the database connection.

    Solutions:

    1. Check Configuration: Review the configuration settings for the rule mining process. Ensure that all required parameters are set correctly.
    2. Verify Authorizations: Ensure that the user has the necessary authorizations to execute the rule mining run. This may involve checking user roles and permissions in the SAP system.
    3. Monitor System Resources: Check the system's resource usage to ensure that there are sufficient resources available. If necessary, optimize system performance or schedule the rule mining run during off-peak hours.
    4. Data Validation: Validate the data being used for the rule mining process. Look for any inconsistencies or issues that may need to be resolved before starting the run.
    5. Check Logs: Review the application logs and system logs for any additional error messages or warnings that may provide more context about the failure.
    6. Consult Documentation: Refer to SAP documentation or support notes related to the specific version of the software you are using for any known issues or patches.
    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 address this specific error message or provide guidance on troubleshooting.
    • Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed.
    • System Updates: Ensure that your SAP system is up to date with the latest patches and updates, as these may resolve known issues.

    By following these steps, you should be able to identify the cause of the error and implement a solution to successfully start the rule mining run.

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