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Message type: E = Error
Message class: CM_MDQLTYMINEDRULE - Messages for Rule Mining Run
Message number: 005
Message text: Mined rule UUID must not be initial.
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CM_MDQLTYMINEDRULE005
- Mined rule UUID must not be initial. ?The SAP error message CM_MDQLTYMINEDRULE005 indicates that a mined rule UUID must not be initial. This error typically occurs in the context of data mining or predictive analytics within SAP systems, particularly when working with the SAP Business Warehouse (BW) or SAP HANA.
Cause:
The error is caused by the system attempting to process a mined rule that does not have a valid UUID (Universally Unique Identifier). A UUID is essential for identifying the mined rule uniquely within the system. If the UUID is not provided or is empty (initial), the system cannot proceed with the operation.
Solution:
To resolve this error, you can take the following steps:
Check the Mined Rule Configuration:
- Ensure that the mined rule you are trying to use has been properly created and saved with a valid UUID. You may need to revisit the data mining model or the rules generated from it.
Validate Input Parameters:
- If you are passing parameters to a function or method that requires a mined rule UUID, ensure that the UUID is being correctly populated and is not empty.
Recreate the Mined Rule:
- If the mined rule appears to be corrupted or improperly configured, consider recreating it. This can involve re-running the data mining process to generate new rules.
Check for System Updates:
- Ensure that your SAP system is up to date with the latest patches and updates, as there may be bug fixes related to data mining functionalities.
Consult Documentation:
- Refer to the SAP documentation for data mining and predictive analytics to ensure that you are following the correct procedures for creating and managing mined rules.
Contact SAP Support:
- If the issue persists after trying the above solutions, consider reaching out to SAP support for further assistance. They may provide insights specific to your system configuration or version.
Related Information:
By following these steps, you should be able to resolve the error and continue working with your data mining models in SAP.
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