How To Fix RT240 - Used commit charge in percent


SAP Error Message - Details

  • Message type: E = Error

  • Message class: RT - Monitoring infrastructure MSG and alert texts

  • Message number: 240

  • Message text: Used commit charge in percent

  • Show details Hide details
  • Copy of RT 239

    What causes this issue?

    The commit charge is the total memory (physical and virtual) that is
    used by programs or by the operating system. The term is used in the
    Windows NT Task Manager, and its maximum value should be smaller than
    the available main memory.
    The available commit charge is maximum value set by the operating
    system (Commit Charge Limit in Task Manager) minus the currently used
    commit charge (Commit Charge Total).

    System Response

    If the commit charge is larger than the real main memory, performance
    suffers due to increased paging.

    How to fix this error?

    If the available commit charge falls below the threshold, you should
    set the value to the complete operating system value for the Commit
    Charge. Note, however, that an increased demand on virtual memory
    causes more paging if there is not enough main memory available.

    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.


Smart SAP Assistant

  • What is the cause and solution for SAP error message RT240 - Used commit charge in percent ?

    The SAP error message RT240, which indicates "Used commit charge in percent," typically relates to memory management issues within the SAP system. This error is often associated with the system's inability to allocate sufficient memory for its operations, which can lead to performance degradation or system instability.

    Cause:

    1. Memory Limitations: The system may be running low on available memory, which can happen if the allocated memory for the SAP instance is insufficient for the workload.
    2. High Workload: An increase in user activity or background jobs can lead to higher memory consumption.
    3. Configuration Issues: Incorrect configuration settings for the SAP instance or the underlying operating system can lead to inefficient memory usage.
    4. Memory Leaks: Certain applications or processes may have memory leaks, causing them to consume more memory over time without releasing it.

    Solution:

    1. Increase Memory Allocation:

      • Review and increase the memory settings for the SAP instance. This can be done in the instance profile (e.g., SAP_PROFILE).
      • Adjust parameters such as abap/heap_area_total, abap/heap_area_dia, and abap/heap_area_nondia to allocate more memory.
    2. Monitor and Optimize Workload:

      • Use transaction codes like ST03N (Workload Analysis) and ST06 (Operating System Monitor) to analyze the workload and identify any bottlenecks.
      • Optimize long-running or resource-intensive jobs.
    3. Check for Memory Leaks:

      • Use transaction ST22 (Dump Analysis) to check for short dumps that may indicate memory leaks.
      • Review custom code and third-party add-ons for potential memory issues.
    4. Adjust Operating System Settings:

      • Ensure that the operating system is configured to allow sufficient memory for the SAP instance. This may involve adjusting kernel parameters or system limits.
    5. Restart the SAP Instance:

      • In some cases, a restart of the SAP instance may temporarily alleviate memory pressure, but this should not be a long-term solution.
    6. Upgrade Hardware:

      • If the system consistently runs out of memory, consider upgrading the server hardware to provide more RAM.

    Related Information:

    • SAP Notes: Check SAP Notes related to memory management and performance tuning for specific recommendations and best practices.
    • SAP Community: Engage with the SAP Community forums for insights and experiences from other users facing similar issues.
    • Documentation: Refer to the official SAP documentation for guidelines on memory management and performance optimization.

    By addressing the underlying causes and implementing the suggested solutions, you can mitigate the RT240 error and improve the overall performance of your SAP system.

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