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Message type: E = Error
Message class: APPL_PROC_HUB_PR - Message Class for Purchase Requisition Extraction
Message number: 021
Message text: Previous job scheduled for automatic restart was aborted
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.
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APPL_PROC_HUB_PR021
- Previous job scheduled for automatic restart was aborted ?The SAP error message APPL_PROC_HUB_PR021 indicates that a previous job scheduled for automatic restart has been aborted. This can occur for various reasons, and understanding the cause is essential for resolving the issue. Here’s a breakdown of potential causes, solutions, and related information:
Causes:
- Job Failure: The job that was supposed to restart may have failed due to an error in the processing logic, data issues, or resource constraints.
- System Resource Issues: Insufficient memory, CPU, or other system resources can lead to job failures.
- Configuration Issues: Incorrect job scheduling or configuration settings can cause the job to abort.
- Database Locking: If the job is trying to access a locked database object, it may fail.
- Timeouts: The job may have exceeded the allowed execution time, leading to an automatic abort.
- Dependency Failures: If the job depends on the successful completion of another job that failed, it may also abort.
Solutions:
- Check Job Logs: Review the job logs for detailed error messages that can provide insights into why the job failed. You can do this in transaction SM37.
- Analyze System Resources: Monitor system performance and resource usage to ensure that there are enough resources available for job execution.
- Review Job Configuration: Verify the job scheduling settings and ensure that they are correctly configured.
- Check for Database Locks: Use transaction SM12 to check for any locks that might be affecting the job.
- Increase Timeout Settings: If timeouts are an issue, consider increasing the timeout settings for the job.
- Dependency Management: Ensure that all dependent jobs are completing successfully before the job in question is scheduled to run.
- Manual Restart: If the job is critical, you may need to manually restart it after addressing the underlying issues.
Related Information:
Transaction Codes:
SAP Notes: Check SAP Notes for any known issues or patches related to job scheduling and processing. You can search for relevant notes in the SAP Support Portal.
Documentation: Review SAP documentation for background processing and job scheduling for best practices and troubleshooting steps.
By following these steps, you should be able to identify the cause of the error and implement a solution to prevent it from recurring. If the issue persists, consider reaching out to SAP support for further assistance.
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