How to use /SMB/COMP_PME_RT - Compare PME and Runtime

SAP Transaction Code - Details

• Transaction Code: /SMB/COMP_PME_RT

  Description: Compare PME and Runtime

  Release: S/4HANA only

• • Program: /SMB/COMPARE_PME_AND_RT

    Screen: 1000

    Authorization Object:

  • Development Package: /SMB/UTILITY

    Package Description: Utility Functions

    Parent Package: /SMB/

  • Module/Component: SV-CLD-FRM-INF

    Description: Implementation Framework Infrastructure

Smart SAP Assistant

• SAP Tcode: /SMB/COMP_PME_RT - Compare PME and Runtime

  
  Overview:
  The SAP transaction code /SMB/COMP_PME_RT is used to compare the performance of the PME (Performance Monitor Engine) and Runtime. This comparison helps to identify any discrepancies between the two and can be used to optimize system performance. 
  
  Functionality: 
  The /SMB/COMP_PME_RT transaction code allows users to compare the performance of the PME and Runtime in order to identify any discrepancies between the two. This comparison can be used to optimize system performance by identifying areas where the PME or Runtime may be underperforming. The comparison also provides information on the number of requests, response times, and other metrics that can be used to further optimize system performance. 
  
  Step-by-step How to Use: 
  1. Enter the transaction code /SMB/COMP_PME_RT into the command field. 
  2. Select the “Compare” button to begin the comparison process. 
  3. The comparison results will be displayed in a table format, showing the number of requests, response times, and other metrics for both PME and Runtime. 
  4. Review the results and identify any discrepancies between the two systems. 
  5. Use this information to optimize system performance by making adjustments as needed. 
  
  Other Recommendations: 
  It is recommended that users regularly use this transaction code to compare PME and Runtime performance in order to ensure optimal system performance. Additionally, users should review any discrepancies between the two systems and make adjustments as needed in order to further optimize system performance.