Identifying Idle User Sessions in Oracle Database
Oracle sessions sorted by logon time
SQL Code
1set lines 100 pages 999
2select username
3, floor(last_call_et / 60) "Minutes"
4, status
5from v$session
6where username is not null
7order by last_call_et
8/
Sample Oracle Output:
1USERNAME OSUSER ID STATUS LOGIN_TIME LAST_CALL_ET
2-------------------- --------------- --------------- -------- -------------- ------------
3SYS oracle 54,58456 ACTIVE 20:09 10/12/23 0
4SYS oracle 52,61761 ACTIVE 21:37 10/12/23 100
5SYS oracle 15,1554 ACTIVE 23:34 09/12/23 79495
6ORDS_PUBLIC_USER oracle 286,58632 INACTIVE 23:36 09/12/23 79361
7ORDS_PUBLIC_USER oracle 53,20873 INACTIVE 23:36 09/12/23 79360
8
95 rows selected.
10SQL>
Purpose:
- To monitor user session activity by identifying idle sessions and their durations, aiding in resource management and potential troubleshooting.
Breakdown:
Formatting Output:
* `set lines 100 pages 999`: Adjusts display settings to accommodate potentially lengthy results.
Querying Session Data:
* `select username, floor(last_call_et / 60) "Minutes", status from v$session`: Retrieves specific information from the `v$session` view, which provides details about active user sessions:
* `username`: Identifies the user associated with each session.
* `floor(last_call_et / 60) "Minutes"`: Calculates the approximate duration of inactivity in minutes since the last call from each session.
* `status`: Indicates the current status of each session (e.g., ACTIVE, INACTIVE).
* `where username is not null`: Filters results to include only sessions with known usernames, excluding system-level sessions.
* `order by last_call_et`: Presents results in ascending order of idle time, highlighting the longest-idle sessions first.
Key Points:
- Idle Session Focus: Targets sessions that haven't made database calls recently, potentially indicating inactive users or processes.
- Inactivity Duration: Calculates idle time in minutes for easy interpretation.
- Session Status: Provides context about whether sessions are currently active or inactive.
- User-Oriented View: Presents information in a user-friendly format, aiding in understanding session activity patterns.
Insights and Explanations:
Resource Management: Identifying idle sessions can help optimize resource usage by potentially terminating or reducing resources for inactive sessions.
Troubleshooting:
- Long-idle sessions might indicate issues such as hung processes or users forgetting to log out.
- Analyzing idle sessions can help identify potential problems and take corrective actions.
Monitoring:
- Regularly monitoring idle sessions can help proactively manage database resources and prevent performance issues.
Customization:
- The code can be modified to adjust idle time thresholds for defining "idle" sessions or to filter for specific users or session statuses based on analysis needs.