Message type: E = Error
Message class: RT - Monitoring infrastructure MSG and alert texts
Message number: 605
Message text: &1 &3 > &2 &3 (15 Min.) Number of paged out pages exceeds threshold
Paging Out occurs when a process requires access to data that is not
currently in the main memory while the main memory is full. Before the
operating system can page in the requested data, it must swap out other
pages that are currently not required.
In principle, paging always reduce performance. Paging out is
especially critical: If the Virtual Memory Management has to store a
page in the Swap Space several times, it leads to a memory bottleneck
that significantly reduces performance. The critical level of paging
out depends on the operaitng system.
If the paging out is higher than the paging in, the system increases
the size of the paging file - the main memory's overload.
High levels of paging can have the following causes:
Too many processes are running on the server
The server's main memory is too small for the current demand
You can avoid high levels of paging by taking the following measures:
Better distribution of running processes to various servers
Better distribution of running processes to periods of low load
Install more main memory
The system issues an error message and will not allow you to continue with this transaction until the error is resolved.
Error message extract from SAP system. Copyright SAP SE.
The SAP error message RT605 indicates that the number of paged-out pages in the system has exceeded a predefined threshold. This typically relates to memory management within the SAP system, particularly in the context of the SAP kernel and the underlying database.
Cause: Memory Pressure: The system is experiencing high memory usage, leading to excessive paging. This can occur when there are not enough resources (RAM) allocated to the SAP instance, or when the workload is too high for the available memory.
Configuration Issues: The SAP instance may not be optimally configured for the workload it is handling. This includes parameters related to memory allocation, buffer sizes, and paging thresholds. High Workload: A sudden increase in user activity or background jobs can lead to increased memory consumption, causing the system to page out more memory than usual. Inefficient Queries: Poorly optimized database queries can consume excessive memory, leading to paging issues.
Solution: Increase Memory Allocation: If possible,
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