How To Fix CM_MDQLTYRULEMINING100 - Conversion error for value &1


SAP Error Message - Details

  • Message type: E = Error

  • Message class: CM_MDQLTYRULEMINING - Messages for Rule Mining Run

  • Message number: 100

  • Message text: Conversion error for value &1

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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.



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Smart SAP Assistant

  • What is the cause and solution for SAP error message CM_MDQLTYRULEMINING100 - Conversion error for value &1 ?

    The SAP error message CM_MDQLTYRULEMINING100, which states "Conversion error for value &1," typically occurs in the context of data quality rules or data mining processes. This error indicates that there is an issue with converting a specific value (represented by &1) into the expected format or data type.

    Causes:

    1. Data Type Mismatch: The value being processed may not match the expected data type. For example, if a numeric value is expected but a string is provided, this can lead to a conversion error.
    2. Invalid Characters: The value may contain characters that are not valid for the expected data type (e.g., letters in a numeric field).
    3. Null or Empty Values: If the value is null or empty, it may not be convertible to the required format.
    4. Locale Issues: Sometimes, locale settings can affect how numbers and dates are formatted, leading to conversion errors.
    5. Data Quality Issues: The source data may have inconsistencies or errors that prevent successful conversion.

    Solutions:

    1. Check Data Types: Ensure that the data types of the values being processed match the expected types in the data quality rules or mining process.
    2. Validate Input Data: Review the input data for any invalid characters or formats. Cleanse the data if necessary to ensure it meets the expected criteria.
    3. Handle Null Values: Implement checks to handle null or empty values appropriately, either by providing default values or excluding them from processing.
    4. Adjust Locale Settings: If applicable, check the locale settings in your SAP system to ensure they align with the data being processed.
    5. Review Data Quality Rules: Examine the data quality rules or mining configurations to ensure they are set up correctly and are appropriate for the data being analyzed.

    Related Information:

    • SAP Notes: Check SAP Notes for any known issues or patches related to this error message. SAP frequently updates its knowledge base with solutions for common errors.
    • Transaction Codes: Use transaction codes like SE11 (Data Dictionary) or SE80 (Object Navigator) to investigate the data structures involved.
    • Debugging: If you have access to debugging tools, you can trace the execution to identify where the conversion error occurs.
    • Documentation: Refer to SAP documentation for data quality management and data mining to understand the expected formats and configurations.

    If the issue persists after trying the above solutions, consider reaching out to your SAP support team or consulting with an SAP expert for further assistance.

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