How To Fix MDQ_ML_ADAPTER003 - Rule mining does not support the given data selection sign.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: MDQ_ML_ADAPTER - Message Class for CX_MDQ_ML_ADAPTER

  • Message number: 003

  • Message text: Rule mining does not support the given data selection sign.

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  • Self-Explanatory Message

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    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 MDQ_ML_ADAPTER003 - Rule mining does not support the given data selection sign. ?

    The SAP error message MDQ_ML_ADAPTER003 indicates that there is an issue with the data selection criteria used in a rule mining process. This error typically arises when the data selection sign (e.g., operators like '=', '<', '>', etc.) used in the selection criteria is not supported by the rule mining functionality in SAP.

    Cause:

    1. Unsupported Operators: The error is often caused by using operators in the data selection that are not compatible with the rule mining algorithm. For example, using a 'greater than' or 'less than' operator when the algorithm expects equality checks.
    2. Data Type Mismatch: The data types of the fields being compared may not be compatible with the operators being used.
    3. Incorrect Configuration: The configuration of the rule mining process may not align with the data model or the expected input format.

    Solution:

    1. Review Data Selection Criteria: Check the data selection criteria used in the rule mining process. Ensure that only supported operators are used. Typically, equality checks are preferred.
    2. Adjust Data Types: Ensure that the data types of the fields being used in the selection criteria are compatible with the operators. If necessary, convert data types to match.
    3. Consult Documentation: Refer to the SAP documentation for the specific version you are using to understand the supported operators and configurations for rule mining.
    4. Test with Simplified Criteria: Try running the rule mining process with simplified or default selection criteria to isolate the issue.
    5. Check for Updates: Ensure that your SAP system is up to date, as newer versions may have improved support for various operators or additional features.

    Related Information:

    • SAP Notes: Check SAP Notes related to the specific error message for any patches or updates that may address the issue.
    • SAP Community: Engage with the SAP Community forums to see if other users have encountered similar issues and what solutions they have found.
    • Documentation: Review the SAP Help Portal for detailed information on rule mining and data selection criteria.

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

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