How To Fix MDQ_RM_PROCESS029 - Mining run has been stopped by &1.

SAP Error Message - Details

• Message type: E = Error

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

• Message number: 029

• Message text: Mining run has been stopped by &1.

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_PROCESS029 - Mining run has been stopped by &1. ?

  The SAP error message MDQ_RM_PROCESS029 indicates that a mining run has been stopped due to a specific reason, which is represented by the placeholder &1. This error typically occurs in the context of SAP's Data Mining or Predictive Analytics functionalities, particularly when using the SAP Business Warehouse (BW) or SAP HANA.
  Possible Causes:
  
  Insufficient Resources: The mining run may have been stopped due to a lack of system resources (CPU, memory, etc.).
  Data Issues: There may be issues with the data being processed, such as missing values, incorrect data types, or data integrity problems.
  Configuration Errors: Incorrect settings in the mining model or the mining run configuration could lead to the process being halted.
  Timeouts: The mining process may have exceeded a predefined time limit, causing it to stop.
  User Intervention: A user or administrator may have manually stopped the mining run.
  
  Solutions:
  
  Check Logs: Review the logs associated with the mining run to identify the specific reason for the stoppage. The message &1 should provide more context.
  Resource Allocation: Ensure that the system has adequate resources allocated for the mining process. This may involve increasing memory or CPU allocation.
  Data Validation: Validate the input data for the mining run. Ensure that it is clean, complete, and in the correct format.
  Configuration Review: Double-check the configuration settings for the mining model and the mining run. Make sure they are set up correctly.
  Increase Timeout Settings: If the mining run is timing out, consider increasing the timeout settings in the system configuration.
  Restart the Mining Run: After addressing the underlying issues, you may need to restart the mining run.
  
  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 the SAP Community or forums where other users may have encountered similar issues and can provide insights or solutions.
  
  If the problem persists after trying the above solutions, consider reaching out to SAP support for further assistance.