How To Fix MDQ_RM_PROCESS032 - &1 records are not empty and used for mining run &2.

SAP Error Message - Details

• Message type: E = Error

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

• Message number: 032

• Message text: &1 records are not empty and used for mining run &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.

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Smart SAP Assistant

• What is the cause and solution for SAP error message MDQ_RM_PROCESS032 - &1 records are not empty and used for mining run &2. ?

  The SAP error message MDQ_RM_PROCESS032 indicates that there are records in a specific data set that are not empty and are being used for a mining run. This typically occurs in the context of SAP's data mining or predictive analytics functionalities, where certain data records are expected to be empty or cleared before a new mining run can be executed.
  Cause:
  The error is caused by the presence of non-empty records in the data set that you are trying to use for a mining run. This can happen due to:
  
  Previous mining runs that did not clear the data properly.
  Data inconsistencies or corruption.
  Manual entries or updates that have left records populated when they should be empty.
  
  Solution:
  To resolve this error, you can follow these steps:
  
  
  Check the Data Set: Review the records in the data set specified in the error message. Identify which records are not empty and why they are populated.
  
  
  Clear or Update Records: Depending on your business logic, you may need to:
  
  Clear the records that are not supposed to be used in the mining run.
  Update the records to ensure they meet the criteria for the mining process.
  
  
  
  Re-run the Mining Process: After ensuring that the records are appropriately cleared or updated, attempt to re-run the mining process.
  
  
  Check for Dependencies: Ensure that there are no dependencies or constraints that might be causing the records to remain populated.
  
  
  Consult Documentation: Refer to SAP documentation or help resources for specific guidelines related to the mining process you are using.
  
  
  Contact Support: If the issue persists, consider reaching out to SAP support for further assistance, especially if you suspect a bug or system issue.
  
  
  Related Information:
  
  Transaction Codes: Familiarize yourself with relevant transaction codes in SAP that pertain to data mining and predictive analytics.
  Data Management: Ensure that your data management practices are robust, including regular checks for data integrity and consistency.
  SAP Notes: Look for any SAP Notes related to this error message, as they may provide additional insights or patches that can resolve the issue.
  
  By following these steps, you should be able to address the error and successfully execute your mining run.