How to use /IWFND/MOC_PARALLEL - Parallélis.composition origine mult.


SAP Transaction Code - Details

  • Transaction Code: /IWFND/MOC_PARALLEL

    Description: Parallélis.composition origine mult.

    Release: S/4HANA and ECC 6

  • Show technical details Hide technical details
    • Program: /IWFND/R_COF_PARALLELIZE_MOC

      Screen: 1000

      Authorization Object: S_TABU_DIS

    • Development Package: /IWFND/COF

      Package Description: SAP GW Framework - Configuration

      Parent Package: /IWFND/CORE

    • Module/Component: OPU-FND-CS

      Description: IWF Common Services


Smart SAP Assistant

  • SAP Tcode: /IWFND/MOC_PARALLEL - Parallélis.composition origine mult.
    
    Overview:
    
    The SAP transaction code /IWFND/MOC_PARALLEL is used to enable parallelization of Multi-Origin Composition (MOC) in SAP systems. This code allows for the parallel execution of multiple MOCs, which can significantly reduce the time it takes to complete a task. 
    
    Functionality:
    
    The /IWFND/MOC_PARALLEL transaction code enables the parallelization of MOCs in SAP systems. This means that multiple MOCs can be executed simultaneously, which can significantly reduce the time it takes to complete a task. The code also allows for the configuration of the number of parallel threads that can be used for each MOC. 
    
    Step-by-step How to Use:
    
    1. Log into your SAP system and enter the transaction code /IWFND/MOC_PARALLEL. 
    2. Select the “Parallelize” button to enable parallelization of MOCs. 
    3. Configure the number of parallel threads that can be used for each MOC by entering a value in the “Max Threads” field. 
    4. Click “Save” to save your changes and enable parallelization of MOCs in your SAP system. 
    
    Other Recommendations:
    
    It is recommended that you test the performance of your system after enabling parallelization of MOCs with this transaction code to ensure that it is running optimally. Additionally, you should monitor your system regularly to ensure that it is not overloading due to too many parallel threads being used at once.
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