This chapter contains the following sections:
Guidelines for Interpreting TKPROF Output
See Also:
SQL*Plus User's Guide and Reference for information about the use of Autotrace to trace and tune SQL*Plus statements
End-to-End application tracing can identify the source of an excessive workload, such as a high load SQL statement, by client identifier, service, module, action, session, instance, or an entire database. This isolates the problem to a specific user, service, session, or application component.
In multitier environments, the middle tier routes a request from an end client to different database sessions, making it difficult to track a client across database sessions. End-to-End application tracing is an infrastructure that uses a client ID to uniquely trace a specific end-client through all tiers to the database.
End-to-End application tracing simplifies diagnosing performance problems in multitier environments. For example, you can identify the source of an excessive workload, such as a high-load SQL statement, and contact the user responsible. Also, a user having problems can contact you. You can then identify what this user's session is doing at the database level.
End-to-End application tracing also simplifies management of application workloads by tracking specific modules and actions in a service. The module and action names are set by the application developer. For example, you would use the SET_MODULE
and SET_ACTION
procedures in the DBMS_APPLICATION_INFO
package to set these values in a PL/SQL program.
End-to-End application tracing can identify workload problems for:
Client identifier - specifies an end user based on the logon ID, such as HR.HR
Service - specifies a group of applications with common attributes, service level thresholds, and priorities; or a single application, such as ACCTG
for an accounting application
Module - specifies a functional block, such as Accounts Receivable or General Ledger, of an application
Action - specifies an action, such as an INSERT
or UPDATE
operation, in a module
Session - specifies a session based on a given database session identifier (SID), on the local instance
Instance - specifies a given instance based on the instance name
The TRCSESS command-line utility consolidates tracing information based on specific criteria. The SQL Trace facility and TKPROF are two basic performance diagnostic tools that can help you accurately assess the efficiency of the SQL statements an application runs. For best results, use these tools with EXPLAIN
PLAN
rather than using EXPLAIN
PLAN
alone. After tracing information is written to files, you can consolidate this data with the TRCSESS utility, and then diagnose it with TKPROF or SQL Trace.
The recommended interface for end-to-end application tracing is Oracle Enterprise Manager Cloud Control (Cloud Control). Using Cloud Control, you can view the top consumers for each consumer type, and enable or disable statistics gathering and SQL tracing for specific consumers. If Cloud Control is unavailable, then you can manage this feature using the DBMS_MONITOR
APIs.
See Also:
Oracle Database PL/SQL Packages and Types Reference for information about the DBMS_MONITOR
, DBMS_SESSION, DBMS_SERVICE
, and DBMS_APPLICATION_INFO
packages
The SQL Trace facility provides performance information on individual SQL statements. It generates the following statistics for each statement:
Parse, execute, and fetch counts
CPU and elapsed times
Physical reads and logical reads
Number of rows processed
Misses on the library cache
User name under which each parse occurred
Each commit and rollback
Wait event data for each SQL statement, and a summary for each trace file
If the cursor for the SQL statement is closed, then SQL Trace also provides row source information that includes:
Row operations showing the actual execution plan of each SQL statement
Number of rows, number of consistent reads, number of physical reads, number of physical writes, and time elapsed for each operation on a row
Although you can enable the SQL Trace facility for a session or an instance, Oracle recommends that you use the DBMS_SESSION
or DBMS_MONITOR
packages instead. When the SQL Trace facility is enabled for a session or for an instance, performance statistics for all SQL statements executed in a user session or in the instance are placed into trace files. Using the SQL Trace facility can affect performance and may result in increased system overhead, excessive CPU usage, and inadequate disk space.
The TRCSESS command-line utility consolidates tracing information from several trace files based on specific criteria, such as session or client ID. See "TRCSESS".
See Also:
"Enabling End-to-End Application Tracing" to learn how to use the DBMS_SESSION
or DBMS_MONITOR
packages to enable SQL tracing for a session or an instance
You can run the TKPROF program to format the contents of the trace file and place the output into a readable output file. TKPROF can also:
Create a SQL script that stores the statistics in the database
Determine the execution plans of SQL statements
Note:
If the cursor for a SQL statement is not closed, then TKPROF output does not automatically include the actual execution plan of the SQL statement. In this situation, use the EXPLAIN
option with TKPROF to generate an execution plan.
TKPROF reports each statement executed with the resources it has consumed, the number of times it was called, and the number of rows which it processed. This information enables you to locate those statements that are using the greatest resource. With baselines available, you can assess whether the resources used are reasonable given the work done.
To gather the appropriate statistics using PL/SQL, you must enable statistics gathering for client identifier, service, module, or action using procedures in DBMS_MONITOR
. The default level is the session-level statistics gathering. Statistics gathering is global for the database and continues after a database instance is restarted.
You can gather statistics by the following criteria:
The procedure CLIENT_ID_STAT_ENABLE
enables statistics gathering for a given client ID, whereas the procedure CLIENT_ID_STAT_DISABLE
disables it. You can view client identifiers in the CLIENT_IDENTIFIER
column in V$SESSION
.
Assumptions
This tutorial assumes that you want to enable and then disable statistics gathering for the client with the ID oe.oe
.
To enable and disable statistics gathering for a client identifier:
Start SQL*Plus, and then connect to the database with the appropriate privileges.
Enable statistics gathering for oe.oe
.
For example, run the following command:
EXECUTE DBMS_MONITOR.CLIENT_ID_STAT_ENABLE(client_id => 'OE.OE');
Disable statistics gathering for oe.oe
.
For example, run the following command:
EXECUTE DBMS_MONITOR.CLIENT_ID_STAT_DISABLE(client_id => 'OE.OE');
The procedure SERV_MOD_ACT_STAT_ENABLE
enables statistic gathering for a combination of service, module, and action, whereas the procedure SERV_MOD_ACT_STAT_DISABLE
disables statistic gathering for a combination of service, module, and action.
When you change the module or action using the preceding DBMS_MONITOR
procedures, the change takes effect when the next user call is executed in the session. For example, if a module is set to module1
in a session, and if the module is reset to module2
in a user call in the session, then the module remains module1
during this user call. The module is changed to module2
in the next user call in the session.
Assumptions
This tutorial assumes that you want to gather statistics as follows:
For the ACCTG
service
For all actions in the PAYROLL
module
For the INSERT
ITEM
action within the GLEDGER
module
To enable and disable statistics gathering for a service, module, and action:
Start SQL*Plus, and then connect to the database with the appropriate privileges.
Enable statistics gathering for the desired service, module, and action.
For example, run the following commands:
BEGIN DBMS_MONITOR.SERV_MOD_ACT_STAT_ENABLE( service_name => 'ACCTG' , module_name => 'PAYROLL' ); END; BEGIN DBMS_MONITOR.SERV_MOD_ACT_STAT_ENABLE( service_name => 'ACCTG' , module_name => 'GLEDGER' , action_name => 'INSERT ITEM' ); END;
Disable statistic gathering for the previously specified combination of service, module, and action.
For example, run the following command:
BEGIN DBMS_MONITOR.SERV_MOD_ACT_STAT_DISABLE( service_name => 'ACCTG' , module_name => 'GLEDGER' , action_name => 'INSERT ITEM' ); END;
To enable tracing for client identifier, service, module, action, session, instance or database, execute the appropriate procedures in the DBMS_MONITOR
package. You can enable tracing for specific diagnosis and workload management by the following criteria:
With the criteria that you provide, specific trace information is captured in a set of trace files and combined into a single output trace file.
To enable tracing globally for the database for a specified client identifier, use the CLIENT_ID_TRACE_ENABLE
procedure. The CLIENT_ID_TRACE_DISABLE
procedure disables tracing globally for the database for a given client identifier.
Assumptions
This tutorial assumes the following:
OE.OE
is the client identifier for which SQL tracing is to be enabled.
You want to include wait information in the trace.
You want to exclude bind information from the trace.
To enable and disable tracing for a client identifier:
Start SQL*Plus, and then connect to the database with the appropriate privileges.
Enable tracing for the client.
For example, execute the following program:
BEGIN DBMS_MONITOR.CLIENT_ID_TRACE_ENABLE( client_id => 'OE.OE' , waits => true , binds => false ); END;
Disable tracing for the client.
For example, execute the following command:
EXECUTE DBMS_MONITOR.CLIENT_ID_TRACE_DISABLE(client_id => 'OE.OE');
The SERV_MOD_ACT_TRACE_ENABLE
procedure enables SQL tracing for a specified combination of service name, module, and action globally for a database, unless the procedure specifies a database instance name. The SERV_MOD_ACT_TRACE_DISABLE
procedure disables the trace at all enabled instances for a given combination of service name, module, and action name globally.
Assumptions
This tutorial assumes the following:
You want to enable tracing for the service ACCTG
.
You want to enable tracing for all actions for the combination of the ACCTG
service and the PAYROLL
module.
You want to include wait information in the trace.
You want to exclude bind information from the trace.
You want to enable tracing only for the inst1
instance.
To enable and disable tracing for a service, module, and action:
Start SQL*Plus, and then connect to the database with the appropriate privileges.
Enable tracing for the service, module, and actions.
For example, execute the following command:
BEGIN DBMS_MONITOR.SERV_MOD_ACT_TRACE_ENABLE( service_name => 'ACCTG' , module_name => 'PAYROLL' , waits => true , binds => false , instance_name => 'inst1' ); END;
Disable tracing for the service, module, and actions.
For example, execute the following command:
BEGIN DBMS_MONITOR.SERV_MOD_ACT_TRACE_DISABLE( service_name => 'ACCTG' , module_name => 'PAYROLL' , instance_name => 'inst1' ); END;
The SESSION_TRACE_ENABLE
procedure enables the trace for a given database session identifier (SID), on the local instance. Whereas the DBMS_MONITOR
package can only be invoked by a user with the DBA role, any user can also enable SQL tracing for their own session by using the DBMS_SESSION
package. A user can invoke the SESSION_TRACE_ENABLE
procedure to enable session-level SQL trace for the user's session. For example:
EXECUTE DBMS_SESSION.SESSION_TRACE_ENABLE(waits => true, binds => false);
Assumptions
This tutorial assumes the following:
You want to log in to the database with administrator privileges.
User OE
has one active session.
You want to temporarily enable tracing for the OE
session.
You want to include wait information in the trace.
You want to exclude bind information from the trace.
To enable and disable tracing for a session:
Start SQL*Plus, and then connect to the database with the administrator privileges.
Determine the session ID and serial number values for the session to trace.
For example, query V$SESSION
as follows:
SELECT SID, SERIAL#, USERNAME FROM V$SESSION WHERE USERNAME = 'OE'; SID SERIAL# USERNAME ---------- ---------- ------------------------------ 27 60 OE
Use the values from the preceding step to enable tracing for a specific session.
For example, execute the following program to enable tracing for the OE
session, where the true
argument includes wait information in the trace and the false
argument excludes bind information from the trace:
BEGIN DBMS_MONITOR.SESSION_TRACE_ENABLE( session_id => 27 , serial_num => 60 , waits => true , binds => false ); END;
Disable tracing for the session.
The SESSION_TRACE_DISABLE
procedure disables the trace for a given database session identifier (SID) and serial number. For example:
EXECUTE DBMS_MONITOR.SESSION_TRACE_DISABLE(session_id => 27, serial_num => 60);
The DBMS_MONITOR.DATABASE_TRACE_ENABLE
procedure overrides all other session-level traces, but is complementary to the client identifier, service, module, and action traces. Tracing is enabled for all current and future sessions.
All new sessions inherit the wait and bind information specified by this procedure until you call the DATABASE_TRACE_DISABLE
procedure. When you invoke this procedure with the instance_name
parameter, the procedure resets the session-level SQL trace for the named instance. If you invoke this procedure without the instance_name
parameter, then the procedure resets the session-level SQL trace for the entire database.
Prerequisites
You must be logged in as an administrator execute the DATABASE_TRACE_ENABLE
procedure.
Assumptions
This tutorial assumes the following:
You want to enable tracing for all SQL the inst1
instance.
You want wait information to be in the trace.
You do not want bind information in the trace.
To enable and disable tracing for a session:
Start SQL*Plus, and then connect to the database with the administrator privileges.
Call the DATABASE_TRACE_ENABLE
procedure to enable SQL tracing for a given instance or an entire database.
For example, execute the following program, where the true
argument specifies that wait information is in the trace, and the false
argument specifies that no bind information is in the trace:
BEGIN DBMS_MONITOR.DATABASE_TRACE_ENABLE( waits => true , binds => false , instance_name => 'inst1' ); END;
Disable tracing for the session.
The SESSION_TRACE_DISABLE
procedure disables the trace. For example, the following program disables tracing for inst1
:
EXECUTE DBMS_MONITOR.DATABASE_TRACE_DISABLE(instance_name => 'inst1');
To disable the session-level SQL tracing for an entire database, invoke the DATABASE_TRACE_DISABLE
procedure without specifying the instance_name
parameter:
EXECUTE DBMS_MONITOR.DATABASE_TRACE_DISABLE();
This section explains the basic procedure for using SQL Trace and TKPROF.
To use the SQL Trace facility and TKPROF:
Set initialization parameters for trace file management.
See "Step 1: Setting Initialization Parameters for Trace File Management".
Enable the SQL Trace facility for the desired session, and run the application. This step produces a trace file containing statistics for the SQL statements issued by the application.
Run TKPROF to translate the trace file created in Step 2 into a readable output file. This step can optionally create a SQL script that you can use to store the statistics in a database.
Optionally, run the SQL script produced in Step 3 to store the statistics in the database.
When the SQL Trace facility is enabled for a session, Oracle Database generates a trace file containing statistics for traced SQL statements for that session. When the SQL Trace facility is enabled for an instance, Oracle Database creates a separate trace file for each process.
To set initialization parameters for trace file management:
Check the settings of the TIMED_STATISTICS
, MAX_DUMP_FILE_SIZE
, and DIAGNOSTIC_DEST
initialization parameters, as indicated in Table 18-1.
Table 18-1 Initialization Parameters to Check Before Enabling SQL Trace
Parameter | Description |
---|---|
|
Specifies the location of the Automatic Diagnostic Repository (ADR) Home. The diagnostic files for each database instance are located in this dedicated directory. Oracle Database Reference for information about the |
|
When the SQL Trace facility is enabled at the database instance level, every call to the database writes a text line in a file in the operating system's file format. The maximum size of these files in operating system blocks is limited by this initialization parameter. The default is |
|
Enables and disables the collection of timed statistics, such as CPU and elapsed times, by the SQL Trace facility, and the collection of various statistics in the If Enabling timing causes extra timing calls for low-level operations. This is a dynamic parameter. It is also a session parameter. See Oracle Database Reference for information about the |
Devise a way of recognizing the resulting trace file.
Be sure you know how to distinguish the trace files by name. You can tag trace files by including in your programs a statement such as SELECT
'
program_name
'
FROM
DUAL
. You can then trace each file back to the process that created it.
You can also set the TRACEFILE_IDENTIFIER
initialization parameter to specify a custom identifier that becomes part of the trace file name (see Oracle Database Reference for information about the TRACEFILE_IDENTIFIER
initialization parameter). For example, you can add my_trace_id
to subsequent trace file names for easy identification with the following:
ALTER SESSION SET TRACEFILE_IDENTIFIER = 'my_trace_id';
If the operating system retains multiple versions of files, then ensure that the version limit is high enough to accommodate the number of trace files you expect the SQL Trace facility to generate.
If the generated trace files can be owned by an operating system user other than yourself, then ensure that you have the necessary permissions to use TKPROF to format them.
Database instance
Use DBMS_MONITOR.DATABASE_TRACE_ENABLE
procedure to enable tracing, and DBMS_MONITOR.DATABASE_TRACE_DISABLE
procedure to disable tracing.
Database session
Use DBMS_SESSION.SET_SQL_TRACE
procedure to enable tracing (true
) or disable tracing (false
).
Note:
Because running the SQL Trace facility increases system overhead, enable it only when tuning SQL statements, and disable it when you are finished.
To enable and disable tracing at the database instance level:
Start SQL*Plus, and connect to the database with administrator privileges.
Enable tracing at the database instance level.
The following example enables tracing for the orcl
instance:
EXEC DBMS_MONITOR.DATABASE_TRACE_ENABLE(INSTANCE_NAME => 'orcl');
Execute the statements to be traced.
Disable tracing for the database instance.
The following example disables tracing for the orcl
instance:
EXEC DBMS_MONITOR.DATABASE_TRACE_DISABLE(INSTANCE_NAME => 'orcl');
To enable and disable tracing at the session level:
Start SQL*Plus, and connect to the database with the desired credentials.
Enable tracing for the current session.
The following example enables tracing for the current session:
EXEC DBMS_SESSION.SET_SQL_TRACE(sql_trace => true);
Execute the statements to be traced.
Disable tracing for the current session.
The following example disables tracing for the current session:
EXEC DBMS_SESSION.SET_SQL_TRACE(sql_trace => false);
See Also:
Oracle Database PL/SQL Packages and Types Reference to learn about DBMS_MONITOR.DATABASE_TRACE_ENABLE
TKPROF accepts as input a trace file produced by the SQL Trace facility, and it produces a formatted output file. TKPROF can also generate execution plans.
After the SQL Trace facility has generated trace files, you can:
Run TKPROF on each individual trace file, producing several formatted output files, one for each session.
Concatenate the trace files, and then run TKPROF on the result to produce a formatted output file for the entire instance.
Run the TRCSESS command-line utility to consolidate tracing information from several trace files, then run TKPROF on the result.
TKPROF does not report COMMIT
and ROLLBACK
statements recorded in the trace file.
Example 18-1 TKPROF Output
SELECT * FROM emp, dept WHERE emp.deptno = dept.deptno; call count cpu elapsed disk query current rows ---- ------- ------- --------- -------- -------- ------- ------ Parse 1 0.16 0.29 3 13 0 0 Execute 1 0.00 0.00 0 0 0 0 Fetch 1 0.03 0.26 2 2 4 14 Misses in library cache during parse: 1 Parsing user id: (8) SCOTT Rows Execution Plan ------- ---------------------------------------------------
14 MERGE JOIN 4 SORT JOIN 4 TABLE ACCESS (FULL) OF 'DEPT' 14 SORT JOIN 14 TABLE ACCESS (FULL) OF 'EMP'
For this statement, TKPROF output includes the following information:
The text of the SQL statement
The SQL Trace statistics in tabular form
The number of library cache misses for the parsing and execution of the statement.
The user initially parsing the statement.
TKPROF also provides a summary of user level statements and recursive SQL calls for the trace file.
You might want to keep a history of the statistics generated by the SQL Trace facility for an application, and compare them over time. TKPROF
can generate a SQL script that creates a table and inserts rows of statistics into it. This script contains:
A CREATE
TABLE
statement that creates an output table named TKPROF_TABLE
.
INSERT
statements that add rows of statistics, one for each traced SQL statement, to TKPROF_TABLE
.
After running TKPROF
, run this script to store the statistics in the database.
After TKPROF
has created the SQL script, you might want to edit the script before running it. If you have created an output table for previously collected statistics, and if you want to add new statistics to this table, then remove the CREATE
TABLE
statement from the script. The script then inserts the new rows into the existing table.
If you have created multiple output tables, perhaps to store statistics from different databases in different tables, then edit the CREATE
TABLE
and INSERT
statements to change the name of the output table.
The following CREATE
TABLE
statement creates the TKPROF_TABLE
:
CREATE TABLE TKPROF_TABLE (
DATE_OF_INSERT DATE, CURSOR_NUM NUMBER, DEPTH NUMBER, USER_ID NUMBER, PARSE_CNT NUMBER, PARSE_CPU NUMBER, PARSE_ELAP NUMBER, PARSE_DISK NUMBER, PARSE_QUERY NUMBER, PARSE_CURRENT NUMBER, PARSE_MISS NUMBER, EXE_COUNT NUMBER, EXE_CPU NUMBER, EXE_ELAP NUMBER, EXE_DISK NUMBER, EXE_QUERY NUMBER, EXE_CURRENT NUMBER, EXE_MISS NUMBER, EXE_ROWS NUMBER, FETCH_COUNT NUMBER, FETCH_CPU NUMBER, FETCH_ELAP NUMBER, FETCH_DISK NUMBER, FETCH_QUERY NUMBER, FETCH_CURRENT NUMBER, FETCH_ROWS NUMBER, CLOCK_TICKS NUMBER, SQL_STATEMENT LONG);
Most output table columns correspond directly to the statistics that appear in the formatted output file. For example, the PARSE_CNT
column value corresponds to the count statistic for the parse step in the output file.
The columns in Table 18-2 help you identify a row of statistics.
Table 18-2 TKPROF_TABLE Columns for Identifying a Row of Statistics
Column | Description |
---|---|
|
This is the SQL statement for which the SQL Trace facility collected the row of statistics. Because this column has data type |
|
This is the date and time when the row was inserted into the table. This value is different from the time when the SQL Trace facility collected the statistics. |
|
This indicates the level of recursion at which the SQL statement was issued. For example, a value of 0 indicates that a user issued the statement. A value of 1 indicates that Oracle Database generated the statement as a recursive call to process a statement with a value of 0 (a statement issued by a user). A value of n indicates that Oracle Database generated the statement as a recursive call to process a statement with a value of n-1. |
|
This identifies the user issuing the statement. This value also appears in the formatted output file. |
|
Oracle Database uses this column value to keep track of the cursor to which each SQL statement was assigned. |
The output table does not store the statement's execution plan. The following query returns the statistics from the output table. These statistics correspond to the formatted output shown in "Example 18-7".
SELECT * FROM TKPROF_TABLE;
Sample output appears as follows:
DATE_OF_INSERT CURSOR_NUM DEPTH USER_ID PARSE_CNT PARSE_CPU PARSE_ELAP -------------- ---------- ----- ------- --------- --------- ---------- 21-DEC-2012 1 0 8 1 16 22 PARSE_DISK PARSE_QUERY PARSE_CURRENT PARSE_MISS EXE_COUNT EXE_CPU ---------- ----------- ------------- ---------- --------- ------- 3 11 0 1 1 0 EXE_ELAP EXE_DISK EXE_QUERY EXE_CURRENT EXE_MISS EXE_ROWS FETCH_COUNT -------- -------- --------- ----------- -------- -------- ----------- 0 0 0 0 0 0 1 FETCH_CPU FETCH_ELAP FETCH_DISK FETCH_QUERY FETCH_CURRENT FETCH_ROWS --------- ---------- ---------- ----------- ------------- ---------- 2 20 2 2 4 10 SQL_STATEMENT --------------------------------------------------------------------- SELECT * FROM EMP, DEPT WHERE EMP.DEPTNO = DEPT.DEPTNO
This section provides guidelines for interpreting TKPROF
output.
While TKPROF
provides a useful analysis, the most accurate measure of efficiency is the performance of the application. At the end of the TKPROF
output is a summary of the work that the process performed during the period that the trace was running.
Timing statistics have a resolution of one hundredth of a second. Therefore, any operation on a cursor that takes a hundredth of a second or less might not be timed accurately. Keep this limitation in mind when interpreting statistics. In particular, be careful when interpreting the results from simple queries that execute very quickly.
Sometimes, to execute a SQL statement issued by a user, Oracle Database must issue additional SQL statements. Such statements are called recursive calls or recursive SQL. For example, if a session inserts a row into a table that has insufficient space to hold that row, then the database makes recursive calls to allocate the space dynamically. The database also generates recursive calls when data dictionary information is not available in memory and so must be retrieved from disk.
If recursive calls occur while the SQL Trace facility is enabled, then TKPROF
produces statistics for the recursive SQL statements and marks them clearly as recursive SQL statements in the output file. You can suppress the listing of Oracle Database internal recursive calls (for example, space management) in the output file by setting the SYS
command-line parameter to NO
. The statistics for a recursive SQL statement are included in the listing for that statement, not in the listing for the SQL statement that caused the recursive call. So, when you are calculating the total resources required to process a SQL statement, consider the statistics for that statement and those for recursive calls caused by that statement.
Note:
Recursive SQL statistics are not included for SQL-level operations.
You must determine which SQL statements use the most CPU or disk resource. If the TIMED_STATISTICS
parameter is enabled, then you can find high CPU activity in the CPU
column. If TIMED_STATISTICS
is not enabled, then check the QUERY
and CURRENT
columns.
With the exception of locking problems and inefficient PL/SQL loops, neither the CPU time nor the elapsed time is necessary to find problem statements. The key is the number of block visits, both query (that is, subject to read consistency) and current (that is, not subject to read consistency). Segment headers and blocks that are going to be updated are acquired in current mode, but all query and subquery processing requests the data in query mode. These are precisely the same measures as the instance statistics CONSISTENT
GETS
and DB
BLOCK
GETS
. You can find high disk activity in the disk
column.
The following listing shows TKPROF
output for one SQL statement as it appears in the output file:
SELECT * FROM emp, dept WHERE emp.deptno = dept.deptno; call count cpu elapsed disk query current rows ---- ------- ------- --------- -------- -------- ------- ------ Parse 11 0.08 0.18 0 0 0 0 Execute 11 0.23 0.66 0 3 6 0 Fetch 35 6.70 6.83 100 12326 2 824 ------------------------------------------------------------------ total 57 7.01 7.67 100 12329 8 826 Misses in library cache during parse: 0
If it is acceptable to have 7.01 CPU seconds and to retrieve 824 rows, then you need not look any further at this trace output. In fact, a major use of TKPROF
reports in a tuning exercise is to eliminate processes from the detailed tuning phase.
The output indicates that 10 unnecessary parse call were made (because 11 parse calls exist for this single statement) and that array fetch operations were performed. More rows were fetched than there were fetches performed. A large gap between CPU
and elapsed
timings indicates Physical I/Os.
See Also:
This section describes some fine points of TKPROF
interpretation:
If you are not aware of the values being bound at run time, then it is possible to fall into the argument trap. EXPLAIN
PLAN
cannot determine the type of a bind variable from the text of SQL statements, and it always assumes that the type is VARCHAR
. If the bind variable is actually a number or a date, then TKPROF
can cause implicit data conversions, which can cause inefficient plans to be executed. To avoid this situation, experiment with different data types in the query, and perform the conversion yourself.
The next example illustrates the read consistency trap. Without knowing that an uncommitted transaction had made a series of updates to the NAME
column, it is very difficult to see why so many block visits would be incurred.
Cases like this are not normally repeatable: if the process were run again, it is unlikely that another transaction would interact with it in the same way.
SELECT name_id FROM cq_names WHERE name = 'FLOOR'; call count cpu elapsed disk query current rows ---- ----- --- ------- ---- ----- ------- ---- Parse 1 0.10 0.18 0 0 0 0 Execute 1 0.00 0.00 0 0 0 0 Fetch 1 0.11 0.21 2 101 0 1 Misses in library cache during parse: 1 Parsing user id: 01 (USER1) Rows Execution Plan e---- --------- ---- 0 SELECT STATEMENT 1 TABLE ACCESS (BY ROWID) OF 'CQ_NAMES' 2 INDEX (RANGE SCAN) OF 'CQ_NAMES_NAME' (NON_UNIQUE)
This example shows an extreme (and thus easily detected) example of the schema trap. At first, it is difficult to see why such an apparently straightforward indexed query must look at so many database blocks, or why it should access any blocks at all in current mode.
SELECT name_id FROM cq_names WHERE name = 'FLOOR'; call count cpu elapsed disk query current rows -------- ------- -------- --------- ------- ------ ------- ---- Parse 1 0.06 0.10 0 0 0 0 Execute 1 0.02 0.02 0 0 0 0 Fetch 1 0.23 0.30 31 31 3 1 Misses in library cache during parse: 0 Parsing user id: 02 (USER2) Rows Execution Plan ------- --------------------------------------------------- 0 SELECT STATEMENT 2340 TABLE ACCESS (BY ROWID) OF 'CQ_NAMES' 0 INDEX (RANGE SCAN) OF 'CQ_NAMES_NAME' (NON-UNIQUE)
Two statistics suggest that the query might have been executed with a full table scan. These statistics are the current mode block visits, plus the number of rows originating from the Table Access row source in the execution plan. The explanation is that the required index was built after the trace file had been produced, but before TKPROF
had been run.
Generating a new trace file gives the following data:
SELECT name_id FROM cq_names WHERE name = 'FLOOR'; call count cpu elapsed disk query current rows ----- ------ ------ -------- ----- ------ ------- ----- Parse 1 0.01 0.02 0 0 0 0 Execute 1 0.00 0.00 0 0 0 0 Fetch 1 0.00 0.00 0 2 0 1 Misses in library cache during parse: 0 Parsing user id: 02 (USER2) Rows Execution Plan ------- --------------------------------------------------- 0 SELECT STATEMENT 1 TABLE ACCESS (BY ROWID) OF 'CQ_NAMES' 2 INDEX (RANGE SCAN) OF 'CQ_NAMES_NAME' (NON-UNIQUE)
One of the marked features of this correct version is that the parse call took 10 milliseconds of CPU time and 20 milliseconds of elapsed time, but the query apparently took no time at all to execute and perform the fetch. These anomalies arise because the clock tick of 10 milliseconds is too long relative to the time taken to execute and fetch the data. In such cases, it is important to get lots of executions of the statements, so that you have statistically valid numbers.
Sometimes, as in the following example, you might wonder why a particular query has taken so long.
UPDATE cq_names SET ATTRIBUTES = lower(ATTRIBUTES) WHERE ATTRIBUTES = :att call count cpu elapsed disk query current rows -------- ------- -------- --------- -------- -------- ------- ---------- Parse 1 0.06 0.24 0 0 0 0 Execute 1 0.62 19.62 22 526 12 7 Fetch 0 0.00 0.00 0 0 0 0 Misses in library cache during parse: 1 Parsing user id: 02 (USER2) Rows Execution Plan ------- --------------------------------------------------- 0 UPDATE STATEMENT 2519 TABLE ACCESS (FULL) OF 'CQ_NAMES'
Again, the answer is interference from another transaction. In this case, another transaction held a shared lock on the table cq_names
for several seconds before and after the update was issued. It takes a fair amount of experience to diagnose that interference effects are occurring. On the one hand, comparative data is essential when the interference is contributing only a short delay (or a small increase in block visits in the previous example). However, if the interference contributes only modest overhead, and if the statement is essentially efficient, then its statistics may not require analysis.
The TRCSESS utility consolidates trace output from selected trace files based on user-specified criteria. After TRCSESS merges the trace information into a single output file, TKPROF can process the output file.
TRCSESS is useful for consolidating the tracing of a particular session for performance or debugging purposes.
Tracing a specific session is usually not a problem in the dedicated server model because one process serves a session during its lifetime. You can see the trace information for the session from the trace file belonging to the server process. However, in a shared server configuration, a user session is serviced by different processes over time. The trace for the user session is scattered across different trace files belonging to different processes, which makes it difficult to get a complete picture of the life cycle of a session.
You must specify one of the session
, clientid
, service
, action
, or module
options. If you specify multiple options, then TRCSESS consolidates all trace files that satisfy the specified criteria into the output file.
trcsess [output=output_file_name] [session=session_id] [clientid=client_id] [service=service_name] [action=action_name] [module=module_name] [trace_files]
Argument | Description |
---|---|
|
Specifies the file where the output is generated. If this option is not specified, then the utility writes to standard output. |
|
Consolidates the trace information for the session specified. The session identifier is a combination of session index and session serial number, such as |
|
Consolidates the trace information for the specified client ID. |
|
Consolidates the trace information for the specified service name. |
|
Consolidates the trace information for the specified action name. |
|
Consolidates the trace information for the specified module name. |
|
Lists the trace file names, separated by spaces, in which TRCSESS should look for trace information. You can use the wildcard character ( |
Example 18-2 Tracing a Single Session
This sample output of TRCSESS shows the container of traces for a particular session. In this example, the session index and serial number equals 21.2371
. All files in current directory are taken as input.
trcsess session=21.2371
Example 18-3 Specifying Multiple Trace Files
The following example specifies two trace files:
trcsess session=21.2371 main_12359.trc main_12995.trc
The sample output is similar to the following:
[PROCESS ID = 12359] *** 2014-04-02 09:48:28.376 PARSING IN CURSOR #1 len=17 dep=0 uid=27 oct=3 lid=27 tim=868373970961 hv=887450622 ad='22683fb4' select * from cat END OF STMT PARSE #1:c=0,e=339,p=0,cr=0,cu=0,mis=0,r=0,dep=0,og=4,tim=868373970944 EXEC #1:c=0,e=221,p=0,cr=0,cu=0,mis=0,r=0,dep=0,og=4,tim=868373971411 FETCH #1:c=0,e=791,p=0,cr=7,cu=0,mis=0,r=1,dep=0,og=4,tim=868373972435 FETCH #1:c=0,e=1486,p=0,cr=20,cu=0,mis=0,r=6,dep=0,og=4,tim=868373986238 *** 2014-04-02 10:03:58.058 XCTEND rlbk=0, rd_only=1 STAT #1 id=1 cnt=7 pid=0 pos=1 obj=0 op='FILTER ' STAT #1 id=2 cnt=7 pid=1 pos=1 obj=18 op='TABLE ACCESS BY INDEX ROWID OBJ$ ' STAT #1 id=3 cnt=7 pid=2 pos=1 obj=37 op='INDEX RANGE SCAN I_OBJ2 ' STAT #1 id=4 cnt=0 pid=1 pos=2 obj=4 op='TABLE ACCESS CLUSTER TAB$J2 ' STAT #1 id=5 cnt=6 pid=4 pos=1 obj=3 op='INDEX UNIQUE SCAN I_OBJ# ' [PROCESS ID=12995] *** 2014-04-02 10:04:32.738 Archiving is disabled
The TKPROF program formats the contents of the trace file and places the output into a readable output file. TKPROF can also:
Create a SQL script that stores the statistics in the database
Determine the execution plans of SQL statements
Note:
If the cursor for a SQL statement is not closed, then TKPROF output does not automatically include the actual execution plan of the SQL statement. In this situation, use the EXPLAIN
option with TKPROF to generate an execution plan.
TKPROF reports each statement executed with the resources it has consumed, the number of times it was called, and the number of rows which it processed.
TKPROF can locate statements using the greatest resource. With baselines available, you can assess whether the resources used are reasonable given the work done.
The input and output files are the only required arguments. If you invoke TKPROF without arguments, then the tool displays online help.
tkprof input_file output_file [ waits=yes|no ] [ sort=option ] [ print=n ] [ aggregate=yes|no ] [ insert=filename3 ] [ sys=yes|no ] [ table=schema.table ] [ explain=user/password ] [ record=filename4 ] [ width=n ]
Table 18-3 TKPROF Arguments
Argument | Description |
---|---|
|
Specifies the input file, a trace file containing statistics produced by the SQL Trace facility. This file can be either a trace file produced for a single session, or a file produced by concatenating individual trace files from multiple sessions. |
|
Specifies the file to which |
|
Specifies whether to record summary for any wait events found in the trace file. Valid values are |
|
Sorts traced SQL statements in descending order of specified sort option before listing them in the output file. If multiple options are specified, then the output is sorted in descending order by the sum of the values specified in the sort options. If you omit this parameter, then
|
|
Lists only the first integer sorted SQL statements from the output file. If you omit this parameter, then |
|
If you specify |
|
Creates a SQL script that stores the trace file statistics in the database. |
|
Enables and disables the listing of SQL statements issued by the user |
|
Specifies the schema and name of the table into which The specified user must be able to issue This option enables multiple individuals to run
If no plan table exists, then |
|
Determines the execution plan for each SQL statement in the trace file and writes these execution plans to the output file.
Note: Trace files generated immediately after instance startup contain data that reflects the activity of the startup process. In particular, they reflect a disproportionate amount of I/O activity as caches in the system global area (SGA) are filled. For the purposes of tuning, ignore such trace files. |
|
Creates a SQL script with the specified |
|
An integer that controls the output line width of some |
This section explains the TKPROF output.
TKPROF
lists the user ID of the user issuing each SQL statement. If the SQL Trace input file contained statistics from multiple users, and if the statement was issued by multiple users, then TKPROF
lists the ID of the last user to parse the statement. The user ID of all database users appears in the data dictionary in the column ALL_USERS
.USER_ID
.
TKPROF
lists the statistics for a SQL statement returned by the SQL Trace facility in rows and columns. Each row corresponds to one of three steps of SQL statement processing. Statistics are identified by the value of the CALL
column. See Table 18-4.
Table 18-4 CALL Column Values
CALL Value | Meaning |
---|---|
|
Translates the SQL statement into an execution plan, including checks for proper security authorization and checks for the existence of tables, columns, and other referenced objects. |
|
Actual execution of the statement by Oracle Database. For |
|
Retrieves rows returned by a query. Fetches are only performed for |
The other columns of the SQL Trace facility output are combined statistics for all parses, executions, and fetches of a statement. The sum of query
and current
is the total number of buffers accessed, also called Logical I/Os (LIOs). See Table 18-5.
Table 18-5 SQL Trace Statistics for Parses, Executes, and Fetches.
Statistics about the processed rows appear in the ROWS
column. The column shows the number of rows processed by the SQL statement. This total does not include rows processed by subqueries of the SQL statement. For SELECT
statements, the number of rows returned appears for the fetch step. For UPDATE
, DELETE
, and INSERT
statements, the number of rows processed appears for the execute step.
Note:
The row source counts are displayed when a cursor is closed. In SQL*Plus, there is only one user cursor, so each statement executed causes the previous cursor to be closed; therefore, the row source counts are displayed. PL/SQL has its own cursor handling and does not close child cursors when the parent cursor is closed. Exiting (or reconnecting) causes the counts to be displayed.
TKPROF
also lists the number of library cache misses resulting from parse and execute steps for each SQL statement. These statistics appear on separate lines following the tabular statistics. If the statement resulted in no library cache misses, then TKPROF
does not list the statistic. In "Examples", the statement resulted in one library cache miss for the parse step and no misses for the execute step.
In the TKPROF output, row source operations show the number of rows processed for each operation executed on the rows, and additional row source information, such as physical reads and writes.
Table 18-6 Row Source Operations
Row Source Operation | Meaning |
---|---|
|
Consistent reads performed by the row source. |
|
Physical reads performed by the row source |
|
Physical writes performed by the row source |
|
Time in microseconds |
In the following sample TKPROF
output, note the cr
, r
, w
, and time
values under the Row Source Operation column:
Rows Row Source Operation ------- --------------------------------------------------- 0 DELETE (cr=43141 r=266947 w=25854 time=60235565 us) 28144 HASH JOIN ANTI (cr=43057 r=262332 w=25854 time=48830056 us) 51427 TABLE ACCESS FULL STATS$SQLTEXT (cr=3465 r=3463 w=0 time=865083 us) 647529 INDEX FAST FULL SCAN STATS$SQL_SUMMARY_PK (cr=39592 r=39325 w=0 time=10522877 us) (object id 7409)
If wait event information exists, then the TKPROF
output includes a section similar to the following:
Elapsed times include waiting on following events: Event waited on Times Max. Wait Total Waited ---------------------------------------- Waited ---------- ------------ db file sequential read 8084 0.12 5.34 direct path write 834 0.00 0.00 direct path write temp 834 0.00 0.05 db file parallel read 8 1.53 5.51 db file scattered read 4180 0.07 1.45 direct path read 7082 0.00 0.05 direct path read temp 7082 0.00 0.44 rdbms ipc reply 20 0.00 0.01 SQL*Net message to client 1 0.00 0.00 SQL*Net message from client 1 0.00 0.00
In addition, wait events are summed for the entire trace file at the end of the file.
To ensure that wait events information is written to the trace file for the session, run the following SQL statement:
ALTER SESSION SET EVENTS '10046 trace name context forever, level 8';
Example 18-4 Printing the Most Resource-Intensive Statements
If you are processing a large trace file using a combination of SORT
parameters and the PRINT
parameter, then you can produce a TKPROF
output file containing only the highest resource-intensive statements. The following statement prints the 10 statements in the trace file that have generated the most physical I/O:
TKPROF ora53269.trc ora53269.prf SORT = (PRSDSK, EXEDSK, FCHDSK) PRINT = 10
Example 18-5 Generating a SQL Script
This example runs TKPROF
, accepts a trace file named examp12_jane_fg_sqlplus_007
.trc
, and writes a formatted output file named outputa
.prf
:
TKPROF examp12_jane_fg_sqlplus_007.trc OUTPUTA.PRF EXPLAIN=hr TABLE=hr.temp_plan_table_a INSERT=STOREA.SQL SYS=NO SORT=(EXECPU,FCHCPU)
This example is likely to be longer than a single line on the screen, and you might need to use continuation characters, depending on the operating system.
Note the other parameters in this example:
The EXPLAIN
value causes TKPROF
to connect as the user hr
and use the EXPLAIN
PLAN
statement to generate the execution plan for each traced SQL statement. You can use this to get access paths and row source counts.
Note:
If the cursor for a SQL statement is not closed, then TKPROF
output does not automatically include the actual execution plan of the SQL statement. In this situation, you can use the EXPLAIN
option with TKPROF
to generate an execution plan.
The TABLE
value causes TKPROF
to use the table temp_plan_table_a
in the schema scott
as a temporary plan table.
The INSERT
value causes TKPROF
to generate a SQL script named STOREA
.SQL
that stores statistics for all traced SQL statements in the database.
The SYS
parameter with the value of NO
causes TKPROF
to omit recursive SQL statements from the output file. In this way, you can ignore internal Oracle Database statements such as temporary table operations.
The SORT
value causes TKPROF
to sort the SQL statements in order of the sum of the CPU time spent executing and the CPU time spent fetching rows before writing them to the output file. For greatest efficiency, always use SORT
parameters.
Example 18-6 TKPROF Header
This example shows a sample header for the TKPROF report.
TKPROF: Release 12.1.0.0.2 Copyright (c) 1982, 2012, Oracle and/or its affiliates. All rights reserved. Trace file: /disk1/oracle/log/diag/rdbms/orcla/orcla/trace/orcla_ora_917.trc Sort options: default ******************************************************************************** count = number of times OCI procedure was executed cpu = cpu time in seconds executing elapsed = elapsed time in seconds executing disk = number of physical reads of buffers from disk query = number of buffers gotten for consistent read current = number of buffers gotten in current mode (usually for update) rows = number of rows processed by the fetch or execute call ********************************************************************************
Example 18-7 TKPROF Body
This example shows a sample body for a TKPROF report.
call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------- Parse 1 0.01 0.00 0 0 0 0 Execute 1 0.00 0.00 0 0 0 0 Fetch 0 0.00 0.00 0 0 0 0 ------- ------ -------- ---------- ---------- ---------- ---------- ---------- total 2 0.01 0.00 0 0 0 0 Misses in library cache during parse: 1 Optimizer mode: FIRST_ROWS Parsing user id: 44 Elapsed times include waiting on following events: Event waited on Times Max. Wait Total Waited ---------------------------------------- Waited ---------- ------------ SQL*Net message to client 1 0.00 0.00 SQL*Net message from client 1 28.59 28.59 ******************************************************************************** select condition from cdef$ where rowid=:1 call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------- Parse 1 0.00 0.00 0 0 0 0 Execute 1 0.00 0.00 0 0 0 0 Fetch 1 0.00 0.00 0 2 0 1 ------- ------ -------- ---------- ---------- ---------- ---------- ---------- total 3 0.00 0.00 0 2 0 1 Misses in library cache during parse: 1 Optimizer mode: CHOOSE Parsing user id: SYS (recursive depth: 1) Rows Row Source Operation ------- --------------------------------------------------- 1 TABLE ACCESS BY USER ROWID OBJ#(31) (cr=1 r=0 w=0 time=151 us) ******************************************************************************** SELECT last_name, job_id, salary FROM employees WHERE salary = (SELECT max(salary) FROM employees) call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------- Parse 1 0.02 0.01 0 0 0 0 Execute 1 0.00 0.00 0 0 0 0 Fetch 2 0.00 0.00 0 15 0 1 ------- ------ -------- ---------- ---------- ---------- ---------- ---------- total 4 0.02 0.01 0 15 0 1 Misses in library cache during parse: 1 Optimizer mode: FIRST_ROWS Parsing user id: 44 Rows Row Source Operation ------- --------------------------------------------------- 1 TABLE ACCESS FULL EMPLOYEES (cr=15 r=0 w=0 time=1743 us) 1 SORT AGGREGATE (cr=7 r=0 w=0 time=777 us) 107 TABLE ACCESS FULL EMPLOYEES (cr=7 r=0 w=0 time=655 us) Elapsed times include waiting on following events: Event waited on Times Max. Wait Total Waited ---------------------------------------- Waited ---------- ------------ SQL*Net message to client 2 0.00 0.00 SQL*Net message from client 2 9.62 9.62 ******************************************************************************** ******************************************************************************** delete from stats$sqltext st where (hash_value, text_subset) not in (select --+ hash_aj hash_value, text_subset from stats$sql_summary ss where ( ( snap_id < :lo_snap or snap_id > :hi_snap ) and dbid = :dbid and instance_number = :inst_num ) or ( dbid != :dbid or instance_number != :inst_num) ) call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------- Parse 1 0.00 0.00 0 0 0 0 Execute 1 29.60 60.68 266984 43776 131172 28144 Fetch 0 0.00 0.00 0 0 0 0 ------- ------ -------- ---------- ---------- ---------- ---------- ---------- total 2 29.60 60.68 266984 43776 131172 28144 Misses in library cache during parse: 1 Misses in library cache during execute: 1 Optimizer mode: CHOOSE Parsing user id: 22 Rows Row Source Operation ------- --------------------------------------------------- 0 DELETE (cr=43141 r=266947 w=25854 time=60235565 us) 28144 HASH JOIN ANTI (cr=43057 r=262332 w=25854 time=48830056 us) 51427 TABLE ACCESS FULL STATS$SQLTEXT (cr=3465 r=3463 w=0 time=865083 us) 647529 INDEX FAST FULL SCAN STATS$SQL_SUMMARY_PK (cr=39592 r=39325 w=0 time=10522877 us) (object id 7409) Elapsed times include waiting on following events: Event waited on Times Max. Wait Total Waited ---------------------------------------- Waited ---------- ------------ db file sequential read 8084 0.12 5.34 direct path write 834 0.00 0.00 direct path write temp 834 0.00 0.05 db file parallel read 8 1.53 5.51 db file scattered read 4180 0.07 1.45 direct path read 7082 0.00 0.05 direct path read temp 7082 0.00 0.44 rdbms ipc reply 20 0.00 0.01 SQL*Net message to client 1 0.00 0.00 SQL*Net message from client 1 0.00 0.00 ********************************************************************************
Example 18-8 TKPROF Summary
This example that shows a summary for the TKPROF report.
OVERALL TOTALS FOR ALL NON-RECURSIVE STATEMENTS call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------- Parse 4 0.04 0.01 0 0 0 0 Execute 5 0.00 0.04 0 0 0 0 Fetch 2 0.00 0.00 0 15 0 1 ------- ------ -------- ---------- ---------- ---------- ---------- ---------- total 11 0.04 0.06 0 15 0 1 Misses in library cache during parse: 4 Misses in library cache during execute: 1 Elapsed times include waiting on following events: Event waited on Times Max. Wait Total Waited ---------------------------------------- Waited ---------- ------------ SQL*Net message to client 6 0.00 0.00 SQL*Net message from client 5 77.77 128.88 OVERALL TOTALS FOR ALL RECURSIVE STATEMENTS call count cpu elapsed disk query current rows ------- ------ -------- ---------- ---------- ---------- ---------- ---------- Parse 1 0.00 0.00 0 0 0 0 Execute 1 0.00 0.00 0 0 0 0 Fetch 1 0.00 0.00 0 2 0 1 ------- ------ -------- ---------- ---------- ---------- ---------- ---------- total 3 0.00 0.00 0 2 0 1 Misses in library cache during parse: 1 5 user SQL statements in session. 1 internal SQL statements in session. 6 SQL statements in session. ******************************************************************************** Trace file: main_ora_27621.trc Trace file compatibility: 9.00.01 Sort options: default 1 session in tracefile. 5 user SQL statements in trace file. 1 internal SQL statements in trace file. 6 SQL statements in trace file. 6 unique SQL statements in trace file. 76 lines in trace file. 128 elapsed seconds in trace file.
This section includes the following topics:
You can display the statistics that have been gathered with the following V$
views:
The DBA_ENABLED_AGGREGATIONS
view displays the accumulated global statistics for the currently enabled statistics.
The V$CLIENT_STATS
view displays the accumulated statistics for a specified client identifier.
The V$SERVICE_STATS
view displays accumulated statistics for a specified service.
The V$SERV_MOD_ACT_STATS
view displays accumulated statistics for a combination of specified service, module, and action.
The V$SERVICEMETRIC
view displays accumulated statistics for elapsed time of database calls and for CPU use.
A Cloud Control report or the DBA_ENABLED_TRACES
view can display outstanding traces. In the DBA_ENABLED_TRACES
view, you can determine detailed information about how a trace was enabled, including the trace type. The trace type specifies whether the trace is enabled for client identifier, session, service, database, or a combination of service, module, and action.