ORA_PERF - DBACockpit: Oracle - Performance

SAP Transaction Code - Details

• Transaction Code: ORA_PERF

  Description: DBACockpit: Oracle - Performance

  Release: S/4HANA and ECC 6

• • Program: SAPLS_ORA_COCKPIT_2

    Screen: 10

    Authorization Object: S_ADMI_FCD

  • Development Package: S_DBMON_ORA_COCKPIT

    Package Description:

    Parent Package:

  • Module/Component:

    Description:

Smart SAP Assistant

• SAP Tcode: ORA_PERF - DBACockpit: Oracle - Performance

   Analysis
  
  Overview: 
  ORA_PERF is a SAP transaction code used to access the DBACockpit Oracle Performance Analysis tool. This tool provides an overview of the performance of an Oracle database and allows users to analyze and optimize the performance of their database. 
  
  Functionality: 
  The ORA_PERF transaction code provides users with a comprehensive overview of their Oracle database performance. It allows users to view performance metrics such as CPU utilization, memory usage, disk I/O, and more. Additionally, it provides users with the ability to analyze and optimize their database performance by providing recommendations on how to improve their database’s performance. 
  
  Step-by-step How to Use: 
  1. Access the ORA_PERF transaction code in SAP. 
  2. Select the Oracle database you wish to analyze. 
  3. View the performance metrics for your selected database. 
  4. Analyze the performance metrics and identify areas for improvement. 
  5. Use the recommendations provided by the tool to optimize your database’s performance. 
  6. Monitor your database’s performance over time to ensure optimal performance. 
  
  Other Recommendations: 
  In addition to using the ORA_PERF transaction code, it is recommended that users regularly monitor their Oracle databases for any potential issues or areas for improvement. Additionally, users should ensure that their databases are properly configured and optimized for optimal performance. Finally, users should regularly back up their databases in order to protect against any potential data loss or corruption.