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Message type: E = Error
Message class: CRM_ERMS_ML_MSG - Messages for ML Integration
Message number: 003
Message text: Data Extraction Request for the run with id &1 will now be sent.
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CRM_ERMS_ML_MSG003
- Data Extraction Request for the run with id &1 will now be sent. ?The SAP error message CRM_ERMS_ML_MSG003 typically indicates an issue related to the data extraction process in the SAP Customer Relationship Management (CRM) system, particularly in the context of the SAP ERP Management System (ERMS). The message suggests that a data extraction request is being processed, but there may be issues that need to be addressed.
Cause:
- Data Extraction Request Issues: The error may arise if there are problems with the data extraction request itself, such as incorrect parameters or missing data.
- System Configuration: There may be configuration issues in the CRM system that prevent the data extraction from being processed correctly.
- Background Job Failures: If the extraction is scheduled as a background job, it may fail due to resource constraints or other job-related issues.
- Authorization Issues: The user or process attempting to execute the extraction may lack the necessary authorizations.
Solution:
- Check the Extraction Request: Review the parameters and settings of the data extraction request to ensure they are correct and complete.
- Monitor Background Jobs: If the extraction is part of a background job, check the job logs for any errors or warnings that could provide more context on the failure.
- Review System Configuration: Ensure that the CRM system is properly configured for data extraction. This may involve checking settings related to the data source, target, and extraction method.
- Check Authorizations: Verify that the user or process has the necessary authorizations to perform the data extraction.
- Consult SAP Notes: Look for any relevant SAP Notes or documentation that may address known issues or provide guidance on resolving this specific error message.
Related Information:
SM37
to monitor background jobs or SLG1
to check application logs for more detailed error messages.By following these steps, you should be able to identify the cause of the error and implement a solution to resolve it.
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