How To Fix MDQ_RM_PROCESS013 - Error setting status of mining run &1 to Completed (&2)

SAP Error Message - Details

• Message type: E = Error

• Message class: MDQ_RM_PROCESS - MDQ Rule Mining Process Message Class

• Message number: 013

• Message text: Error setting status of mining run &1 to Completed (&2)

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 MDQ_RM_PROCESS013 - Error setting status of mining run &1 to Completed (&2) ?

  The SAP error message MDQ_RM_PROCESS013 typically occurs in the context of SAP's Data Mining or Predictive Analytics functionalities. This error indicates that there was an issue when trying to set the status of a mining run to "Completed." The error message includes placeholders (&1 and &2) that usually represent specific identifiers related to the mining run and the error details.
  Possible Causes:
  
  Data Issues: There may be issues with the data being processed, such as missing values, incorrect formats, or data integrity problems.
  Configuration Problems: The mining run may not be properly configured, leading to issues when trying to complete it.
  System Errors: There could be underlying system errors or inconsistencies in the SAP environment that prevent the status from being updated.
  Authorization Issues: The user executing the mining run may not have the necessary authorizations to change the status of the mining run.
  Resource Limitations: Insufficient system resources (like memory or processing power) could lead to failures in completing the mining run.
  
  Solutions:
  
  Check Data Quality: Review the data being used in the mining run for any inconsistencies or missing values. Ensure that the data is clean and properly formatted.
  Review Configuration: Verify the configuration settings for the mining run. Ensure that all parameters are set correctly and that the mining model is properly defined.
  Check Logs: Look at the application logs or system logs for more detailed error messages that can provide insights into what went wrong.
  User Authorizations: Ensure that the user has the necessary permissions to execute and complete the mining run. Check the roles and authorizations assigned to the user.
  System Resources: Monitor system performance and resource usage. If necessary, allocate more resources or optimize the system to handle the mining run.
  Retry the Process: Sometimes, simply retrying the mining run after addressing any identified issues can resolve the problem.
  
  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 problems.
  Documentation: Refer to the official SAP documentation for Data Mining and Predictive Analytics for best practices and troubleshooting tips.
  Community Forums: Engage with SAP community forums or user groups where similar issues may have been discussed, and solutions shared.
  
  If the problem persists after trying the above solutions, it may be necessary to contact SAP support for further assistance.