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Transaction Code: SQLM
Description: SQL Monitor
Release: S/4HANA and ECC 6
Program: SAPLSQLM
Screen: 100
Authorization Object:
Development Package: SQLM_UI
Package Description:
Parent Package:
Module/Component:
Description:
Overview: SQLM is an SAP transaction code used to monitor the performance of SQL statements in the SAP system. It is used to analyze the performance of SQL statements and identify any potential issues that may be causing poor performance. Functionality: SQLM provides a graphical overview of the performance of SQL statements in the SAP system. It displays the execution time, number of executions, and other information related to each statement. It also allows users to compare the performance of different statements and identify any potential issues that may be causing poor performance. Step-by-step How to Use: 1. Enter transaction code SQLM in the command field. 2. Select the “SQL Monitor” option from the menu. 3. Select the “Execution Time” tab to view a graphical overview of the performance of SQL statements in the SAP system. 4. Select a statement from the list to view detailed information about its performance. 5. Select the “Compare” tab to compare the performance of different statements and identify any potential issues that may be causing poor performance. 6. Select the “SQL Trace” tab to view a trace of all SQL statements executed in the SAP system. 7. Select a statement from the list to view detailed information about its execution trace. 8. Select the “Statistics” tab to view statistical information about all SQL statements executed in the SAP system. 9. Select a statement from the list to view detailed information about its statistics. 10. Select the “Settings” tab to configure settings related to SQL monitoring in the SAP system. 11. Click “Save” to save your changes and exit transaction code SQLM. Other Recommendations: It is recommended that users regularly monitor their SQL statements using transaction code SQLM in order to ensure optimal performance of their SAP system. Additionally, users should take advantage of other tools such as SQL Trace and Statistics in order to gain further insight into their system's performance and identify any potential issues that may be causing poor performance.