Display Oracle v$session_longops sessions

Gain visibility into recently completed long-running operations for monitoring performance and resource usage

SQL Code

 1set lines 100 pages 999
 2col username format a15
 3col message format a40
 4col remaining format 9999
 5select	username
 6,	to_char(start_time, 'hh24:mi:ss dd/mm/yy') started
 7,	time_remaining remaining
 8,	message
 9from	v$session_longops
10where	time_remaining = 0
11order by time_remaining desc

Sample Oracle Output:

1no rows selected
2SQL>

Purpose:

• Identifies and Retrieves Information about Completed Long-Running Operations: This code specifically targets operations that have finished, providing insights into their details and potential performance implications.

Breakdown:

1. Output Formatting:

   • Lines and Pages: set lines 100 pages 999 sets a maximum of 100 rows per page and a maximum of 999 pages for display, ensuring a manageable and readable output format.
   • Column Widths: col username format a15 , col message format a40 , and col remaining format 9999 adjust column widths to enhance readability and prevent truncation of information.

2. Data Retrieval:

   • Targeted Data Selection: select username, to_char(start_time, 'hh24:mi:ss dd/mm/yy') started, time_remaining remaining, message from v$session_longops fetches specific information from the v$session_longops view, which holds details about long-running operations in the database.
   • Completed Operations Focus: where time_remaining = 0 filters the results to include only those operations that have reached zero time remaining, indicating their completion.
   • Ordering Results: order by time_remaining desc arranges the retrieved data in descending order based on the time_remaining column, even though all values are 0 in this case, likely ensuring consistency in the output format.

Key Points:

• Completed Operations Emphasis: The code specifically focuses on completed operations, providing a snapshot of recently finished long-running tasks.
• Informational View: Thea v$session_longops view offers valuable insights into long-running operations, assisting in performance monitoring and troubleshooting.
• Readability Enhancement: The output formatting commands ensure a well-structured and easy-to-read presentation of the results.

Insights and Explanations:

• Performance Monitoring: This code can be used regularly to track completed long-running operations, identifying potential performance bottlenecks or resource-intensive tasks.
• Troubleshooting: Analyzing the retrieved data can help pinpoint issues with specific operations or database components.
• Trend Analysis: Observing trends in the types of operations, their completion times, and associated users can guide optimization efforts.
• Customization: The code can be modified to filter for specific operations, users, or time periods based on analysis needs.
• Integration: Consider integrating this code into regular database monitoring and reporting processes for proactive performance management.