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Message type: E = Error
Message class: CSM_VMC - Messages for VM Container Monitoring
Message number: 100
Message text: Shared Garbage Collection
The shared garbage collector (SGC) removes objects no longer needed from
the shared pool (shared closures).
For more information see the online documentation:
<DS:KENO.001560AA0E081DEB9291AD4EC07E04D6>How the Shared Garbage
Collection Works</>
<DS:KENO.001560AA0E081DEB91E241270609CAF7>Memory Management in the VM
Container</>
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.
CSM_VMC100
- Shared Garbage Collection ?The SAP error message CSM_VMC100 related to "Shared Garbage Collection" typically indicates an issue with memory management in the SAP system, particularly in the context of the Java Virtual Machine (JVM) used by SAP NetWeaver or other Java-based SAP applications. This error can occur when the JVM is unable to reclaim memory effectively, leading to performance degradation or application crashes.
Cause:
- Memory Leaks: Applications may have memory leaks where objects are not being released properly, causing the heap memory to fill up.
- Insufficient Heap Size: The allocated heap size for the JVM may be too small for the workload, leading to frequent garbage collection cycles.
- Configuration Issues: Incorrect JVM parameters or configurations can lead to inefficient garbage collection.
- High Load: A sudden increase in load or usage patterns can lead to increased memory consumption, overwhelming the garbage collection process.
- Long-Running Processes: Long-running processes may hold onto memory longer than necessary, preventing garbage collection from reclaiming that memory.
Solution:
- Increase Heap Size: Adjust the JVM parameters to increase the maximum heap size. This can be done by modifying the
-Xmx
parameter in the JVM options.- Analyze Memory Usage: Use tools like SAP Memory Analyzer (MAT) to analyze heap dumps and identify memory leaks or objects that are consuming excessive memory.
- Optimize Code: Review and optimize the application code to ensure that objects are being released properly and that there are no memory leaks.
- Tune Garbage Collection: Adjust the garbage collection settings in the JVM to optimize performance. This may include changing the garbage collector type or tuning specific parameters.
- Monitor Performance: Implement monitoring tools to keep track of memory usage and garbage collection performance over time. This can help identify trends and potential issues before they become critical.
- Update Software: Ensure that you are running the latest version of SAP and the JVM, as updates may include performance improvements and bug fixes related to memory management.
Related Information:
If the problem persists after trying these solutions, it may be beneficial to engage SAP support for further assistance.
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