How to use /PM0/3FCA_BACKG - Lancer traitement parallèle


SAP Transaction Code - Details

  • Transaction Code: /PM0/3FCA_BACKG

    Description: Lancer traitement parallèle

    Release: S/4HANA only

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    • Program: /PM0/3FCA_PARALLEL_PROG

      Screen: 1000

      Authorization Object:

    • Development Package: /PM0/3FC_PARALLEL

      Package Description: Integration of Parallel Tool

      Parent Package: /PM0/3F_CHANNEL

    • Module/Component: FS-PM

      Description: Policy Management


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  • SAP Tcode: /PM0/3FCA_BACKG - Lancer traitement parallèle
    
    Overview:
    The SAP transaction code /PM0/3FCA_BACKG - Trigger Parallel Processing is used to trigger parallel processing in the SAP system. This code is used to execute multiple processes simultaneously, allowing for faster processing of tasks. 
    
    Functionality: 
    This transaction code allows users to trigger parallel processing in the SAP system. This means that multiple processes can be executed at the same time, allowing for faster processing of tasks. The code also allows users to set up a number of parameters, such as the number of processes to be executed and the priority of each process. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code /PM0/3FCA_BACKG - Trigger Parallel Processing into the command field. 
    2. Enter the parameters for the parallel processing, such as the number of processes and their priority. 
    3. Click “Execute” to start the parallel processing. 
    4. Monitor the progress of the parallel processing in the status bar at the bottom of the screen. 
    5. Once all processes have been completed, click “Finish” to end the parallel processing. 
    
    Other Recommendations: 
    It is recommended that users familiarize themselves with all parameters available for this transaction code before using it, as incorrect settings may lead to unexpected results or errors. Additionally, users should ensure that they have sufficient resources available before triggering parallel processing, as it can consume a large amount of system resources.
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