How To Fix CSM_VMC101 - Maximum relative occupancy of the shared pools after a shared GC run


CSM_VMC101 - Overview

  • Message type: E = Error

  • Message class: CSM_VMC - Messages for VM Container Monitoring

  • Message number: 101

  • Message text: Maximum relative occupancy of the shared pools after a shared GC run

  • Show details Hide details
  • What causes this issue?

    You can see the maximum percentage of the shared pool occupied (at a
    certain time in the current monitoring cycle).
    You can find more information about the memory classes in the VM
    Container in the online documentation under
    <DS:KENO.001560AA0E081DEB91E241270609CAF7>Memory Management in the VM
    Container</>.

    System Response

    The system issues an error message and will not allow you to continue with this transaction until the error is resolved.

    How to fix this error?

    Procedure for System Administrators


    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message CSM_VMC101 - Maximum relative occupancy of the shared pools after a shared GC run ?
    The SAP error message CSM_VMC101 indicates that the maximum relative occupancy of the shared memory pools has been exceeded after a shared garbage collection (GC) run. This typically occurs in environments where the SAP system is using the Java Virtual Machine (JVM) with shared memory pools, which are used to manage memory for multiple Java applications.
    
    Cause: Memory Pressure: The error usually arises when the memory allocated to the shared pools is insufficient to handle the workload, leading to high occupancy levels.
    Configuration Issues: Incorrect configuration of the JVM parameters related to memory allocation can lead to this issue. High Load: An increase in the number of users or transactions can lead to higher memory usage, causing the shared pools to fill up quickly. Memory Leaks: There may be memory leaks in the application code or libraries that are consuming more memory than expected.
    Solution: Increase Memory Allocation: Review and increase the memory settings for the shared memory

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