Monitoring Opened Cursors by User Session in Oracle Database
List all open oracle cursors by user or username
Track open cursor usage across user sessions to identify potential resource constraints or inefficiencies in database access patterns
SQL Code
1set pages 999 lines 300
2col username format a40
3select sess.username as username
4, sess.sid as sid
5, sess.serial# as serial
6, stat.value cursors
7from v$sesstat stat
8, v$statname sn
9, v$session sess
10where sess.username is not null
11and sess.sid = stat.sid
12and stat.statistic# = sn.statistic#
13and sn.name = 'opened cursors current'
14order by value
Sample Oracle Output
1USERNAME SID SERIAL# CURSORS
2--------------- ---------- ---------- ----------
3SYS 143 10 1
4WEBUSER 132 33364 3
5WEBUSER 116 18996 3
6WEBUSER 118 23832 3
7WEBUSER 120 423 3
8ORA_TIV 126 37072 3
9WEBUSER 127 4392 3
10WEBUSER 124 20787 4
11SYS 131 34710 5
12CNUSERMAN 145 19887 5
13CNUSERMAN 129 8407 5
14CNUSERMAN 144 17898 5
15CNUSERMAN 141 3881 5
16ORA_TIV 139 5349 8
17ORA_TIV 115 6676 9
18
1915 rows selected.
20SQL>USERNAME SID SERIAL# CURSORS
21--------------- ---------- ---------- ----------
22SYS 143 10 1
23WEBUSER 132 33364 3
24WEBUSER 116 18996 3
25WEBUSER 118 23832 3
26WEBUSER 120 423 3
27ORA_TIV 126 37072 3
28WEBUSER 127 4392 3
29WEBUSER 124 20787 4
30SYS 131 34710 5
31CNUSERMAN 145 19887 5
32CNUSERMAN 129 8407 5
33CNUSERMAN 144 17898 5
34CNUSERMAN 141 3881 5
35ORA_TIV 139 5349 8
36ORA_TIV 115 6676 9
37
3815 rows selected.
39SQL>
Purpose:
- To identify and display information about user sessions that have opened a significant number of cursors, which can potentially impact database performance and resource utilization.
Breakdown:
Formatting Output:
set pages 999 lines 300
: Adjusts display settings to accommodate potentially large results.col username format a40
: Formats theusername
column for readability.
Querying Session and Cursor Data:
Joining Views: Combines information from multiple database views:
v$sesstat
: Contains session-level statistics, including cursor usage.v$statname
: Stores names and descriptions of statistics.v$session
: Provides details about active user sessions.
Filtering Criteria:
where sess.username is not null
: Includes only sessions with known usernames.and sess.sid = stat.sid
: Matches session IDs to ensure accurate cursor data.and stat.statistic# = sn.statistic#
: Links statistics to their names.and sn.name = 'opened cursors current'
: Focuses on the specific statistic for opened cursors.
Selecting Relevant Information:
select sess.username, sess.sid, sess.serial#, stat.value cursors
: Retrieves username, session ID, serial number, and cursor count for each matching session.
Ordering Results:
order by value
: Presents results in descending order of cursor count, highlighting sessions with the most open cursors.
Key Points:
- Cursor Focus: Specifically targets the 'opened cursors current' statistic, indicating actively open cursors.
- Session Identification: Provides details about sessions with high cursor usage, aiding in troubleshooting and optimization.
- User-Centric View: Presents information in a user-friendly format, allowing for easy identification of sessions contributing to potential cursor issues.
Insights and Explanations:
Cursor Management: Oracle uses cursors to manage SQL statement execution. Excessive open cursors can consume memory and resources, potentially impacting performance.
Troubleshooting:
- High cursor counts can signal inefficient application code, unclosed cursors, or database configuration issues.
- Identifying sessions with high cursor usage directs attention to potential problem areas.
Optimization:
- Reviewing application code for proper cursor handling can help prevent excessive opening.
- Adjusting database parameters related to cursor management may be necessary in some cases.
Monitoring:
- Regularly monitoring cursor usage can proactively identify and address issues before they impact performance significantly.