Display Oracle v$session_longops sessions"

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
12/

Sample Oracle Output:

1
2no rows selected
3SQL>

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: The 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.