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Message type: E = Error
Message class: CM_MDQLTYMINEDRULE - Messages for Rule Mining Run
Message number: 016
Message text: Deletion not possible because linked data quality rule is in draft mode.
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CM_MDQLTYMINEDRULE016
- Deletion not possible because linked data quality rule is in draft mode. ?The SAP error message CM_MDQLTYMINEDRULE016 indicates that a deletion operation cannot be performed because the linked data quality rule is currently in draft mode. This typically occurs in the context of SAP Data Quality Management, where data quality rules are created, modified, and managed.
Cause:
The error arises when you attempt to delete a data quality rule or an object that is associated with a data quality rule that has not been finalized (i.e., it is still in draft mode). In draft mode, the rule is not yet active or published, and therefore, the system prevents any deletion actions to maintain data integrity and avoid inconsistencies.
Solution:
To resolve this error, you can follow these steps:
Check the Status of the Data Quality Rule:
- Navigate to the data quality rules management area in SAP.
- Identify the specific data quality rule that is linked to the object you are trying to delete.
- Verify its status; if it is in draft mode, you will need to take action on it.
Publish or Finalize the Data Quality Rule:
- If the rule is in draft mode and you want to keep it, consider finalizing or publishing the rule. This will change its status from draft to active, allowing you to proceed with the deletion of the linked object.
- If you do not need the rule, you can delete or deactivate it if the system allows.
Delete the Linked Object:
- Once the data quality rule is either published or deleted, you should be able to delete the linked object without encountering the error.
Consult Documentation or Support:
- If you are unsure about the steps or if the issue persists, refer to the SAP documentation for data quality management or consult your SAP support team for further assistance.
Related Information:
By following these steps, you should be able to resolve the error and manage your data quality rules effectively.
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