How to use ST03G - Statistiques SAP Workload globales

ST03G - Overview

• Transaction Code: ST03G

  Description: Statistiques SAP Workload globales

  Release: S/4HANA and ECC 6

  Menu Path:

  • Tools > Administration > Monitor > Performance > Workload > Aggregated Statistics Records - Global
  • Tools > CCMS > Control/Monitoring > Performance > Workload > Aggregated Statistics Records - Global

• • Program: SAPWL_ST03G

    Screen: 1000

    Authorization Object:

  • Development Package: SAPWL_FRONTEND

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

ST03G - Details

• SAP Tcode: ST03G - Statistiques SAP Workload globales

  
  Overview:
  ST03G is a SAP transaction code used to view the global workload statistics of an SAP system. It provides a graphical overview of the system's workload, including the number of users, the number of dialog steps, and the number of database requests. This information can be used to identify potential performance issues and to optimize system performance. 
  
  Functionality: 
  ST03G provides a graphical overview of the system's workload, including the number of users, the number of dialog steps, and the number of database requests. It also provides detailed information about each user's activity, such as the type of transaction they are performing and how long it takes them to complete it. This information can be used to identify potential performance issues and to optimize system performance. 
  
  Step-by-step How to Use: 
  1. Log into your SAP system and enter transaction code ST03G in the command field. 
  2. Select the “Global Workload Statistics” option from the menu. 
  3. Select the time period for which you want to view the statistics. 
  4. Select the type of statistic you want to view (e.g., users, dialog steps, database requests). 
  5. View the graphical overview of your system's workload for that time period. 
  6. Select a user or transaction type from the list to view more detailed information about their activity. 
  7. Use this information to identify potential performance issues and optimize