How To Fix CM_MDQLTYRULEMINING019 - Key field &2 for table &1 is missing.


SAP Error Message - Details

  • Message type: E = Error

  • Message class: CM_MDQLTYRULEMINING - Messages for Rule Mining Run

  • Message number: 019

  • Message text: Key field &2 for table &1 is missing.

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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_MDQLTYRULEMINING019 - Key field &2 for table &1 is missing. ?

    The SAP error message CM_MDQLTYRULEMINING019 indicates that a key field required for a specific table is missing. This error typically arises in the context of data quality rules or data mining processes within SAP systems, particularly when working with master data or data quality management.

    Cause:

    1. Missing Key Field: The error suggests that a key field (denoted as &2) that is necessary for the operation on the specified table (denoted as &1) is not present. This could be due to:

      • Incorrect configuration of the data model.
      • Missing or incomplete data in the source system.
      • Changes in the data structure that have not been reflected in the configuration.
    2. Data Quality Rules: If you are working with data quality rules, it may be that the rules are expecting certain key fields to be present in the data set, and they are not.

    Solution:

    1. Check Configuration: Review the configuration of the data model or the data quality rules to ensure that all required key fields are defined correctly. Make sure that the key fields are included in the relevant tables.

    2. Data Validation: Validate the data being processed to ensure that it contains all necessary key fields. You may need to check the source data for completeness and accuracy.

    3. Update Data Model: If there have been changes to the data structure, update the data model in SAP to reflect these changes. This may involve adding the missing key fields to the relevant tables.

    4. Consult Documentation: Refer to SAP documentation or help resources for specific guidance on the data quality rules or the tables involved. This can provide insights into what key fields are expected.

    5. Debugging: If you have access to debugging tools, you can trace the execution of the process to identify where the key field is expected and why it is missing.

    6. Contact Support: If the issue persists and you cannot identify the cause, consider reaching out to SAP support or your internal SAP team for assistance.

    Related Information:

    • SAP Notes: Check for any relevant SAP Notes that may address this specific error or provide additional context.
    • Data Quality Management: Familiarize yourself with SAP's data quality management tools and best practices to prevent similar issues in the future.
    • Master Data Governance: If applicable, ensure that your master data governance processes are robust and that data integrity is maintained across systems.

    By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.

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