How to use SWLT - SQL Performance Tuning Worklist

SAP Transaction Code - Details

• Transaction Code: SWLT

  Description: SQL Performance Tuning Worklist

  Release: S/4HANA and ECC 6

• • Program: SWLT_START

    Screen: 1000

    Authorization Object:

  • Development Package: SWLT

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: SWLT - SQL Performance Tuning Worklist

  
  Overview:
  SWLT is an SAP transaction code used to access the SQL Performance Tuning Worklist. This worklist is used to identify and analyze SQL statements that are causing performance issues in the SAP system. It provides a list of SQL statements that are taking longer than expected to execute, as well as information about the database tables and indexes that are being used. 
  
  Functionality: 
  The SWLT transaction code allows users to view the SQL Performance Tuning Worklist, which contains a list of SQL statements that are taking longer than expected to execute. The worklist also provides information about the database tables and indexes that are being used, as well as recommendations for improving performance. Additionally, users can use the worklist to identify and analyze potential performance issues in their SAP system. 
  
  Step-by-step How to Use: 
  1. Access the SWLT transaction code in SAP. 
  2. Select the “SQL Performance Tuning Worklist” option from the menu. 
  3. Review the list of SQL statements that are taking longer than expected to execute. 
  4. Analyze the database tables and indexes that are being used for each statement. 
  5. Identify potential performance issues and make recommendations for improvement. 
  6. Save your changes and exit the transaction code. 
  
  Other Recommendations: 
  It is recommended that users regularly review the SQL Performance Tuning Worklist in order to identify and address any potential performance issues in their SAP system. Additionally, users should ensure that they have adequate database indexing in place in order to optimize query performance.