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Message type: E = Error
Message class: APPL_PROC_HUB_PR - Message Class for Purchase Requisition Extraction
Message number: 027
Message text: Extraction Job id &1 logs
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APPL_PROC_HUB_PR027
- Extraction Job id &1 logs ?The SAP error message APPL_PROC_HUB_PR027 typically relates to issues encountered during the extraction process in SAP, particularly when dealing with data extraction jobs. This error can occur in various contexts, such as during data extraction from SAP BW (Business Warehouse) or when using SAP Data Services.
Cause:
The specific cause of the APPL_PROC_HUB_PR027 error can vary, but common reasons include:
- Data Source Issues: The data source from which the extraction is being performed may be unavailable or not properly configured.
- Authorization Problems: The user executing the extraction job may not have the necessary authorizations to access the data.
- Job Configuration Errors: There may be misconfigurations in the extraction job settings, such as incorrect parameters or missing fields.
- Performance Issues: The system may be experiencing performance bottlenecks, leading to timeouts or failures in the extraction process.
- Data Quality Issues: There may be issues with the data itself, such as inconsistencies or corruption that prevent successful extraction.
Solution:
To resolve the APPL_PROC_HUB_PR027 error, you can take the following steps:
- Check Job Logs: Review the logs associated with the extraction job (using the job ID provided in the error message) to identify specific error messages or warnings that can give more context about the failure.
- Verify Data Source: Ensure that the data source is available and correctly configured. Check for any connectivity issues or changes in the data source.
- Review Authorizations: Confirm that the user executing the job has the necessary authorizations to access the data and perform the extraction.
- Check Job Configuration: Review the configuration settings of the extraction job to ensure that all parameters are correctly set and that no required fields are missing.
- Monitor System Performance: Check the system performance metrics to identify any bottlenecks. If necessary, optimize the system or schedule the job during off-peak hours.
- Data Quality Checks: Perform data quality checks on the source data to identify and resolve any inconsistencies or corruption.
Related Information:
If the issue persists after following these steps, it may be beneficial to contact SAP support for further assistance.
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