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


SAP Error Message - Details

  • 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:

    1. 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.
    2. Configuration Issues: Incorrect configuration of the JVM parameters related to memory allocation can lead to this issue.
    3. 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.
    4. Memory Leaks: There may be memory leaks in the application code or libraries that are consuming more memory than expected.

    Solution:

    1. Increase Memory Allocation:

      • Review and increase the memory settings for the shared memory pools in the JVM configuration. This can be done by adjusting parameters such as -XX:MaxHeapSize, -XX:MaxPermSize, or other relevant JVM options.
    2. Monitor Memory Usage:

      • Use monitoring tools to analyze memory usage patterns and identify any spikes or trends that could indicate memory pressure.
      • Tools like SAP Solution Manager or third-party monitoring solutions can help in tracking memory usage.
    3. Optimize Application Code:

      • Review the application code for potential memory leaks or inefficient memory usage patterns. Optimize the code to reduce memory consumption.
      • Ensure that objects are being properly released and that there are no unnecessary references that could prevent garbage collection.
    4. Adjust Garbage Collection Settings:

      • Tweak the garbage collection settings to optimize performance. This may involve changing the GC algorithm or adjusting the frequency of GC runs.
      • Consider using different GC options like G1GC or CMS based on your application needs.
    5. Review System Load:

      • Analyze the system load and consider scaling up the infrastructure if necessary. This could involve adding more resources (CPU, memory) or optimizing the workload distribution.
    6. Consult SAP Notes:

      • Check for any relevant SAP Notes or documentation that may provide additional insights or specific recommendations for your version of SAP and JVM.

    Related Information:

    • JVM Parameters: Familiarize yourself with JVM parameters that control memory allocation and garbage collection. The SAP documentation provides guidelines on recommended settings.
    • SAP Support: If the issue persists after trying the above solutions, consider reaching out to SAP support for further assistance. They may have specific recommendations based on your system configuration and usage patterns.
    • Performance Tuning: Regularly perform performance tuning and capacity planning to ensure that your SAP environment can handle the expected load without running into memory issues.

    By addressing the underlying causes and implementing the suggested solutions, you should be able to resolve the CSM_VMC101 error and improve the stability of your SAP system.

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