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Message type: E = Error
Message class: /SOMO/JOBMON -
Message number: 108
Message text: &1 finished with delay of &2 minutes on &3 at &4
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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/SOMO/JOBMON108
- &1 finished with delay of &2 minutes on &3 at &4 ?The SAP error message
/SOMO/JOBMON108 &1 finished with delay of &2 minutes on &3 at &4
typically indicates that a scheduled job in the SAP system has finished later than expected. This message is part of the Job Monitoring functionality in SAP, which is used to track the execution of background jobs.Cause:
- Resource Contention: The job may have been delayed due to resource contention, where multiple jobs are competing for the same system resources (CPU, memory, etc.).
- Long Processing Time: The job itself may have taken longer to process than anticipated due to data volume, inefficient coding, or unexpected data conditions.
- System Performance Issues: General performance issues in the SAP system or underlying database can lead to delays in job execution.
- Job Scheduling Conflicts: If multiple jobs are scheduled to run at the same time, it can lead to delays in job execution.
- External Dependencies: The job may depend on external systems or processes that are slow or unresponsive.
Solution:
- Analyze Job Logs: Check the job logs for any errors or warnings that might indicate why the job took longer than expected.
- Review Job Scheduling: Look at the scheduling of other jobs to see if there are conflicts or if jobs are scheduled too closely together.
- Optimize Job Performance: If the job is taking longer due to processing time, consider optimizing the job's code or logic to improve performance.
- Monitor System Performance: Use transaction codes like ST03N (Workload Analysis) or ST22 (Dump Analysis) to monitor system performance and identify any bottlenecks.
- Increase Resources: If resource contention is a frequent issue, consider increasing system resources (CPU, memory) or adjusting the job scheduling to reduce contention.
- Set Alerts: Configure alerts for job delays to proactively monitor and address issues before they escalate.
Related Information:
By following these steps, you can identify the root cause of the delay and implement solutions to prevent future occurrences.
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