How to use SLG_ISU - Loganzeige eines parall. Massenlaufs


SAP Transaction Code - Details

  • Transaction Code: SLG_ISU

    Description: Loganzeige eines parall. Massenlaufs

    Release: S/4HANA and ECC 6

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    • Program: REAPROT02

      Screen: 100

      Authorization Object:

    • Development Package: EE21

      Package Description: IS-U: Invoicing

      Parent Package: IS-U/CCS

    • Module/Component: IS-U-IN

      Description: Invoicing


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  • SAP Tcode: SLG_ISU - Loganzeige eines parall. Massenlaufs
    
    Overview:
    SLG_ISU is a SAP transaction code used to display the log of a parallel mass run. This transaction code is used to view the log of a parallel mass run, which is a process that allows multiple programs to be executed at the same time. It is used to view the log of a parallel mass run, which can be used to identify any errors or issues that may have occurred during the process. 
    
    Functionality: 
    SLG_ISU allows users to view the log of a parallel mass run. This log contains information about the programs that were executed, as well as any errors or issues that may have occurred during the process. The log can be used to identify any problems that may have occurred during the process, and can help users troubleshoot any issues that may have arisen. 
    
    Step-by-step How to Use: 
    To use SLG_ISU, users must first enter the transaction code into the SAP system. Once entered, users will be presented with a list of logs for parallel mass runs that have been executed. Users can then select the log they wish to view and will be presented with detailed information about the programs that were executed, as well as any errors or issues that may have occurred during the process. 
    
    Other Recommendations: 
    It is recommended that users review the log of a parallel mass run after it has been executed in order to identify any potential issues or errors that may have occurred during the process. Additionally, users should ensure that all programs are running correctly before executing a parallel mass run in order to avoid any potential issues or errors.
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