How to use /SDF/SCMOND - ABAP Call Monitor: Data Browser


SAP Transaction Code - Details

  • Transaction Code: /SDF/SCMOND

    Description: ABAP Call Monitor: Data Browser

    Release: S/4HANA and ECC 6

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    • Program: /SDF/SCMON_DISPLAY_DATA

      Screen: 1000

      Authorization Object:

    • Development Package: /SDF/SCMON_UI

      Package Description: ABAP Call Monitor: User Interface

      Parent Package: /SDF/SCMON

    • Module/Component: SV-SMG-SDD

      Description: Service Data Download


Smart SAP Assistant

  • SAP Tcode: /SDF/SCMOND - ABAP Call Monitor: Data Browser
    
    Overview:
    The SAP transaction code /SDF/SCMOND is used to access the ABAP Call Monitor Data Browser. This tool allows users to monitor and analyze the performance of ABAP programs. It provides detailed information about the execution of ABAP programs, including the number of calls, the time taken for each call, and the memory usage. 
    
    Functionality: 
    The ABAP Call Monitor Data Browser provides a graphical view of the performance of ABAP programs. It displays a list of all calls made to an ABAP program, including the number of calls, the time taken for each call, and the memory usage. The data can be filtered by date, user, or program name. The data can also be sorted by any of these criteria. 
    
    Step-by-step How to Use: 
    1. Enter the transaction code /SDF/SCMOND in the command field. 
    2. Select the “ABAP Call Monitor Data Browser” option from the menu. 
    3. Select a date range for which you want to view data. 
    4. Select a user or program name to filter the data. 
    5. Select a sorting criteria for the data (e.g., by date, user, or program name). 
    6. View and analyze the performance data for your ABAP programs. 
    
    Other Recommendations: 
    It is recommended that users regularly monitor their ABAP programs using this tool in order to identify any potential performance issues and take corrective action as needed. Additionally, users should ensure that their ABAP programs are optimized for maximum performance by using best practices such as avoiding unnecessary database calls and using efficient coding techniques.
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