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How To Fix VMC_ADMIN009 - The shared garbage collection has been started


SAP Error Message - Details

  • Message type: E = Error

  • Message class: VMC_ADMIN - messages for VMC Administration and Monitoring

  • Message number: 009

  • Message text: The shared garbage collection has been started

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  • Self-Explanatory Message

    Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

    To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

    Unfortunately, there isn't any extra information in this error notice.



    What else can you do?

    First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

    Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

    You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.


Smart SAP Assistant

  • What is the cause and solution for SAP error message VMC_ADMIN009 - The shared garbage collection has been started ?

    The SAP error message VMC_ADMIN009 indicates that the shared garbage collection (GC) process has been initiated. This message is typically related to the Java Virtual Machine (JVM) used in SAP NetWeaver or other SAP applications that run on Java. The shared garbage collection is a mechanism to reclaim memory that is no longer in use, which is essential for maintaining optimal performance and resource management in Java applications.

    Cause:

    1. Memory Pressure: The JVM may have detected that it is running low on memory, prompting it to initiate garbage collection to free up unused memory.
    2. High Object Creation Rate: If your application is creating a large number of objects, it can lead to frequent garbage collection cycles.
    3. Configuration Issues: The JVM settings for memory allocation may not be optimized for your application's workload, leading to excessive garbage collection.
    4. Memory Leaks: If there are memory leaks in the application, it can cause the garbage collector to run more frequently as it tries to reclaim memory.

    Solution:

    1. Monitor Memory Usage: Use monitoring tools (like SAP Solution Manager or Java monitoring tools) to analyze memory usage patterns and identify potential memory leaks or high object creation rates.
    2. Optimize JVM Parameters: Adjust the JVM parameters related to heap size and garbage collection settings. For example, you can increase the heap size or change the garbage collection algorithm to better suit your application's needs.
    3. Code Review: Review the application code for potential memory leaks. Ensure that objects are being properly released and that there are no unnecessary references preventing garbage collection.
    4. Update SAP and JVM: Ensure that you are using the latest version of SAP and the JVM, as updates may include performance improvements and bug fixes related to garbage collection.
    5. Increase Resources: If the application consistently runs out of memory, consider increasing the server resources (CPU, RAM) to better handle the workload.

    Related Information:

    • Garbage Collection Types: Familiarize yourself with different types of garbage collection algorithms available in the JVM (e.g., Serial GC, Parallel GC, Concurrent Mark-Sweep (CMS), G1 GC) and choose the one that best fits your application's needs.
    • SAP Notes: Check SAP Notes related to garbage collection and memory management for specific recommendations and best practices.
    • Performance Tuning: Consider engaging in performance tuning sessions to optimize the application and JVM settings for better memory management.

    If the issue persists after taking these steps, it may be beneficial to consult with SAP support or a Java performance expert for further analysis and recommendations.

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