How To Fix FB_ICRC112 - Number of parallel tasks is too high


FB_ICRC112 - Overview

  • Message type: E = Error

  • Message class: FB_ICRC - Messages for package FB_ICRC

  • Message number: 112

  • Message text: Number of parallel tasks is too high

  • Show details Hide details
  • What causes this issue?

    You specified that the program should use &V1& parallel tasks for
    processing. However, there are only &V2& tasks available on the local
    server.

    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?

    Set the number of parallel tasks to &V2& or less. Depending on the
    activity level on the server, you may want to reserve some work
    processes for other tasks.

    Procedure for System Administrators

    The number of parallel tasks can be increased if you run the program on
    a server group.

    Error message extract from SAP system. Copyright SAP SE.


Smart SAP Assistant

  • What is the cause and solution for SAP error message FB_ICRC112 - Number of parallel tasks is too high ?
    The SAP error message FB_ICRC112, which states "Number of parallel tasks is too high," typically occurs when the system is trying to execute too many parallel processes or tasks simultaneously, exceeding the configured limits. This can happen during batch processing, data uploads, or when running certain transactions that involve multiple background jobs.
    
    Cause: High Volume of Parallel Processes: The system is configured to allow a certain number of parallel tasks, and if the number of tasks exceeds this limit, the error will occur. System Configuration: The SAP system may have default settings that limit the number of parallel processes, which can be insufficient for the current workload. Resource Constraints: The underlying hardware or system resources (CPU, memory) may not be able to handle the number of parallel tasks being requested. Job Scheduling: If multiple jobs are scheduled to run at the same time, it can lead to this error.
    Solution: Adjust Parallel Processing Settings: You can increase the

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