How To Fix ICL_CF652 - Parallel processing: All available servers are overloaded


ICL_CF652 - Overview

  • Message type: E = Error

  • Message class: ICL_CF - Insurance Solution Claims Settlement/Payment Financial Part

  • Message number: 652

  • Message text: Parallel processing: All available servers are overloaded

  • Show details Hide details
  • What causes this issue?

    None of the application servers of the server group has the minimum
    number of free dialog processes.

    System Response

    Processing is canceled.

    How to fix this error?

    Start the evaluation without parallel processing.

    Procedure for System Administrators

    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 ICL_CF652 - Parallel processing: All available servers are overloaded ?
    The SAP error message ICL_CF652 indicates that all available servers for parallel processing are currently overloaded. This typically occurs in scenarios where a large number of parallel processing requests are being executed, and the system resources (like CPU, memory, or I/O) are insufficient to handle the load.
    Causes:
    
    High Load on the System: A sudden spike in workload can lead to all available servers being busy.
    Insufficient Resources: The system may not have enough resources (CPU, memory, etc.) allocated to handle the parallel processing requests.
    
    Configuration Issues: The configuration settings for parallel processing may not be optimized for the current workload. Long-Running Processes: Some processes may be taking longer than expected, causing a backlog of requests. Network Issues: If the servers are distributed across a network, network latency or issues can contribute to overload. Solutions: Monitor System Performance: Use transaction codes like ST03N, ST06, or SM66 to monitor system performance and identify bottlenecks. Increase Resources: If possible, increase the

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