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Message type: E = Error
Message class: /SAPAPO/MVM -
Message number: 208
Message text: The maximum number of jobs to be performed in parallel has been exceeded
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/SAPAPO/MVM208
- The maximum number of jobs to be performed in parallel has been exceeded ?The SAP error message
/SAPAPO/MVM208
indicates that the maximum number of jobs that can be executed in parallel has been exceeded in the SAP Advanced Planning and Optimization (APO) system. This typically occurs when there are too many background jobs or processes trying to run simultaneously, which can lead to performance issues or resource contention.Cause:
- Job Overload: Too many background jobs are scheduled to run at the same time, exceeding the system's configured limits.
- System Configuration: The system parameters for parallel processing may be set too low, limiting the number of concurrent jobs.
- Resource Constraints: The underlying hardware or system resources (CPU, memory) may not be sufficient to handle the number of jobs being executed.
Solution:
- Review Scheduled Jobs: Check the list of scheduled jobs in transaction
SM37
(Job Monitoring) to identify any unnecessary or overlapping jobs. You may need to reschedule or delete some jobs.- Adjust Parallel Processing Settings:
- You can increase the maximum number of parallel jobs allowed in the system. This can be done by adjusting the relevant parameters in the SAP system configuration.
- Use transaction
RZ10
to change the profile parameters related to background processing, such asrdisp/wp_no_btc
(number of background work processes).- Optimize Job Scheduling: Stagger the scheduling of jobs to avoid peak loads. This can be done by adjusting the start times of jobs to ensure they do not all run at the same time.
- Monitor System Performance: Use transaction
ST03N
to analyze system performance and identify bottlenecks. This can help in understanding if the system is under heavy load and if additional resources are needed.- Increase System Resources: If the system frequently hits the limit, consider upgrading the hardware resources (CPU, memory) to better handle the load.
Related Information:
By following these steps, you should be able to resolve the error and optimize the job scheduling in your SAP APO system.
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