How To Fix CSM_VMC102 - Average relative occupancy of the shared pool after shared GC run


CSM_VMC102 - Overview

  • Message type: E = Error

  • Message class: CSM_VMC - Messages for VM Container Monitoring

  • Message number: 102

  • Message text: Average relative occupancy of the shared pool after shared GC run

  • Show details Hide details
  • What causes this issue?

    You can see what percentage on average of the shared pool was occupied
    (in the current monitoring cycle).
    Big differences between the maximum and average occupation indicates big
    fluctuations in the utilization of the shared memory.
    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_VMC102 - Average relative occupancy of the shared pool after shared GC run ?
    The SAP error message CSM_VMC102 indicates an issue related to the average relative occupancy of the shared memory pool after a garbage collection (GC) run in the context of the SAP Java Virtual Machine (JVM). This message is typically associated with performance issues in the SAP system, particularly when it comes to memory management.
    
    Cause: The error message CSM_VMC102 is triggered when the average relative occupancy of the shared pool is higher than expected after a garbage collection cycle. This can occur due to several reasons: Memory Leaks: There may be memory leaks in the application, causing the shared memory pool to fill up over time without being properly released. Insufficient Memory Allocation: The shared memory pool may not have been allocated enough memory to handle the workload, leading to high occupancy levels. Inefficient Garbage Collection: The garbage collection process may not be effectively reclaiming memory, possibly due to configuration issues or the nature of

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