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Message type: E = Error
Message class: RSDD_ZA - Messages from TREX Aggregate Area
Message number: 137
Message text: CPU usage check
This check monitors the CPU usage. If a predefined limit is exceeded,
the check notifies the user that there is a problem.
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Follow the instructions of any action proposed.
Error message extract from SAP system. Copyright SAP SE.
RSDD_ZA137
- CPU usage check ?The SAP error message RSDD_ZA137 typically relates to CPU usage checks in the context of SAP BW (Business Warehouse) or SAP HANA environments. This error indicates that the CPU usage for a particular process or query has exceeded a predefined threshold, which can lead to performance issues or system instability.
Cause:
- High Query Complexity: The query being executed may be too complex, involving multiple joins, aggregations, or large datasets.
- Insufficient Hardware Resources: The server may not have enough CPU resources to handle the workload, especially during peak times.
- Inefficient Query Design: Poorly designed queries or data models can lead to excessive CPU usage.
- Concurrent Processes: Multiple users or processes running simultaneously can lead to high CPU consumption.
- System Configuration: Incorrect system settings or configurations can lead to inefficient resource utilization.
Solution:
- Optimize Queries: Review and optimize the queries that are causing high CPU usage. This may involve simplifying the query, reducing the amount of data processed, or using more efficient joins.
- Analyze Performance: Use transaction codes like ST03N or ST04 to analyze performance and identify bottlenecks in the system.
- Increase Hardware Resources: If the system frequently hits CPU limits, consider upgrading the hardware (e.g., adding more CPU cores or increasing RAM).
- Adjust System Parameters: Review and adjust system parameters related to memory and CPU usage. This may involve tuning the SAP kernel or database settings.
- Schedule Jobs Appropriately: If possible, schedule heavy jobs during off-peak hours to reduce the load on the system during peak usage times.
- Monitor System Health: Implement monitoring tools to keep track of CPU usage and other performance metrics to proactively address issues before they escalate.
Related Information:
If the issue persists after trying the above solutions, it may be beneficial to consult with SAP support or a professional with expertise in SAP performance tuning.
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