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Message type: E = Error
Message class: /SOMO/JOBMON -
Message number: 131
Message text: &1 will finish with delay of at least &2 minutes
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/JOBMON131
- &1 will finish with delay of at least &2 minutes ?The SAP error message
/SOMO/JOBMON131 &1 will finish with delay of at least &2 minutes
typically indicates that a scheduled job in the SAP system is experiencing a delay in its execution. This message is part of the SAP Job Monitoring functionality, which helps track the status and performance of background jobs.Cause:
- Resource Contention: The system may be experiencing high load or contention for resources (CPU, memory, I/O), causing jobs to take longer than expected.
- Long-running Jobs: Other jobs running in the background may be taking longer than anticipated, leading to a backlog.
- Database Performance Issues: Slow database performance can also contribute to delays in job execution.
- Job Dependencies: If the job is dependent on the completion of another job, any delay in the preceding job will affect the start time of the dependent job.
- Configuration Issues: Incorrect job scheduling or configuration settings may lead to inefficient job execution.
Solution:
- Monitor System Performance: Use transaction codes like
SM37
(Job Monitoring) andST22
(Dump Analysis) to check for any long-running jobs or system performance issues.- Analyze Job Logs: Review the job logs for any errors or warnings that might indicate why the job is delayed.
- Check Resource Usage: Use transaction
SM50
orSM66
to monitor active processes and check for resource bottlenecks.- Optimize Jobs: If certain jobs are consistently taking longer, consider optimizing them by reviewing their logic, reducing data volume, or scheduling them during off-peak hours.
- Adjust Job Scheduling: If there are dependencies, ensure that jobs are scheduled in a way that minimizes delays. You may need to adjust the scheduling times or dependencies.
- Database Tuning: If database performance is an issue, consider optimizing database queries or indexing to improve performance.
- Increase System Resources: If the system is consistently under heavy load, consider scaling up the hardware resources (CPU, memory) or optimizing the system configuration.
Related Information:
SM37
(Job Monitoring), SM50
(Process Overview), ST22
(Dump Analysis), and SM66
(Global Process Overview).By following these steps, you should be able to identify the cause of the delay and implement appropriate solutions to mitigate the issue.
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