How to use SE30 - Analyse durée exécution objets ABAP

SAP Transaction Code - Details

• Transaction Code: SE30

  Description: Analyse durée exécution objets ABAP

  Release: S/4HANA and ECC 6

  Menu Path:

  • Tools > ABAP Workbench > Test > Runtime Analysis

• • Program: SATRA_START

    Screen: 0

    Authorization Object:

  • Development Package: STRA

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: SE30 - Analyse durée exécution objets ABAP

  
  Overview:
  SE30 is an SAP transaction code used to analyze the runtime of ABAP objects. It is used to identify and analyze performance issues in ABAP programs. It can be used to analyze the performance of a single program or multiple programs. 
  
  Functionality: 
  SE30 provides a graphical representation of the runtime of ABAP objects. It displays the time taken for each step in the program, as well as the total runtime. It also provides information about memory usage and CPU utilization. Additionally, it can be used to compare the performance of different versions of a program. 
  
  Step-by-step How to Use: 
  1. Enter SE30 in the SAP command field and press enter. 
  2. Select the program you want to analyze from the list of available programs. 
  3. Select the version of the program you want to analyze from the list of available versions. 
  4. Select the type of analysis you want to perform (e.g., memory usage, CPU utilization, etc.). 
  5. Click “Start Analysis” to begin analyzing the program’s runtime. 
  6. Once the analysis is complete, view the results in graphical form or export them as a text file for further analysis. 
  
  Other Recommendations: 
  It is recommended that you use SE30 in conjunction with other SAP tools such as ST05 (SQL Trace) and ST12 (ABAP Runtime Analysis). This will allow you to get a more comprehensive view of your program’s performance and identify potential areas for improvement. Additionally, it is important to note that SE30 should only be used for analyzing programs that are already running in production; it should not be used for testing or debugging purposes.