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Message type: E = Error
Message class: /LTB/MC -
Message number: 100
Message text: No. of data transfer jobs exceeds the limit of the system: &1
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/LTB/MC100
- No. of data transfer jobs exceeds the limit of the system: &1 ?The SAP error message
/LTB/MC100 No. of data transfer jobs exceeds the limit of the system: &1
typically occurs in the context of data transfer processes, particularly when using the Logistics Execution (LE) or other related modules that involve data transfer jobs. This error indicates that the number of concurrent data transfer jobs has exceeded the system's configured limit.Cause:
- Exceeding Job Limit: The system has a predefined limit on the number of concurrent data transfer jobs that can run at the same time. When this limit is exceeded, the error is triggered.
- Configuration Settings: The limit is set in the system configuration, and it may be too low for the volume of data being processed.
- Long-Running Jobs: If there are long-running jobs that are not completing, they can occupy slots and prevent new jobs from starting.
- System Performance: High system load or performance issues can also lead to delays in job completion, causing the limit to be reached.
Solution:
- Check Current Jobs: Use transaction codes like
SM37
to monitor the status of background jobs. Identify any long-running or stuck jobs that may be consuming resources.- Increase Job Limit: If necessary, you can increase the limit for data transfer jobs. This can typically be done in the system configuration settings. Consult with your SAP Basis team to adjust the parameters in the relevant configuration settings (e.g.,
RZ10
for profile parameters).- Optimize Job Scheduling: Review the scheduling of data transfer jobs to ensure they are not all running at the same time. Staggering job execution can help manage the load.
- Terminate Unnecessary Jobs: If there are jobs that are no longer needed or are stuck, consider terminating them to free up resources.
- System Performance Tuning: If the system is under heavy load, consider performance tuning or scaling up resources to handle the data transfer jobs more efficiently.
Related Information:
If the issue persists after trying the above solutions, it may be beneficial to consult with SAP support or your internal SAP Basis team for further assistance.
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