How to use RSPFPAR_TABLESTAT - Estadísticas acceso tabla

SAP Transaction Code - Details

• Transaction Code: RSPFPAR_TABLESTAT

  Description: Estadísticas acceso tabla

  Release: S/4HANA and ECC 6

• • Program:

    Screen: 0

    Authorization Object:

  • Development Package: SAIS_BCE

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: RSPFPAR_TABLESTAT - Estadísticas acceso tabla

  
  Overview: 
  RSPFPAR_TABLESTAT is an SAP transaction code used to display table access statistics. It provides information about the number of times a table has been accessed, the number of records read, and the number of records changed. This information can be used to identify performance bottlenecks and optimize database access. 
  
  Functionality: 
  RSPFPAR_TABLESTAT displays the following information for each table 
  - Number of times the table has been accessed 
  - Number of records read 
  - Number of records changed 
  - Number of records inserted 
  - Number of records deleted 
  - Number of records updated 
  - Average time taken to access the table 
  - Total time taken to access the table 
  
  Step-by-step How to Use: 
  1. Enter transaction code RSPFPAR_TABLESTAT in the command field. 
  2. Enter the name of the table you want to view statistics for in the Table Name field. 
  3. Click Execute. The table access statistics will be displayed in a list format. 
  4. To view more detailed information, click on a row in the list and select Details from the context menu. This will display additional information such as the number of times each field was accessed and the average time taken to access each field. 
  5. To export the data, click on Export from the context menu and select your desired file format (e.g., CSV).  
  6. To reset the statistics, click on Reset from the context menu and confirm your selection.  
  7. To exit, click on Back or press F3.  
  
  Other Recommendations: 
  It is recommended that you use RSPFPAR_TABLESTAT regularly to monitor database performance and identify potential bottlenecks. Additionally, it is important to reset the statistics after making changes to ensure that you are viewing accurate data.