| Oracle® Database Performance Tuning Guide 11g Release 1 (11.1) Part Number B28274-01 |
|
|
View PDF |
| Oracle® Database Performance Tuning Guide 11g Release 1 (11.1) Part Number B28274-01 |
|
|
View PDF |
Oracle provides several tracing tools that can help you monitor and analyze applications running against an Oracle database.
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.
Oracle provides the trcsess command-line utility that consolidates tracing information based on specific criteria.
The SQL Trace facility and TKPROF are two basic performance diagnostic tools that can help you monitor applications running against the Oracle Server.
This chapter contains the following sections:
See Also:
SQL*Plus User's Guide and Reference for information about the use of Autotrace to trace and tune SQL*Plus statementsEnd to End Application Tracing simplifies the process of diagnosing performance problems in a multitier environments. In multitier environments, a request from an end client is routed to different database sessions by the middle tier making it difficult to track a client across different database sessions. End to End Application Tracing uses a client identifier to uniquely trace a specific end-client through all tiers to the database server.
This feature could identify the source of an excessive workload, such as a high load SQL statement, and allow you to contact the specific user responsible. Also, a user having problems can contact you and then you can identify what that 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.
Workload problems can be identified by End to End Application Tracing 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
After tracing information is written to files, the information can be consolidated by the trcsess utility and diagnosed with an analysis utility such as TKPROF.
To to create services on single instance Oracle databases, you can use the CREATE_SERVICE procedure in the DBMS_SERVICE package or set the SERVICE_NAMES initialization parameter.
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_APPICATION_INFO package to set these values in a PL/SQL program.
See Also:
Oracle Database Concepts for information on services
Oracle Call Interface Programmer's Guide for information on setting the necessary parameters in an OCI application
Oracle Database PL/SQL Packages and Types Reference for information on the DBMS_MONITOR, DBMS_SESSION, DBMS_SERVICE, and DBMS_APPICATION_INFO packages
Oracle Database Reference for information on V$ views and initialization parameters
The primary interface for End to End Application Tracing is the Oracle Enterprise Manager.
To manage End to End Application Tracing using Oracle Enterprise Manager:
On the Database Performance page, under Additional Monitoring Links, click Top Consumers.
The Top Consumers page appears.
Click the Top Services, Top Modules, Top Actions, Top Clients, or Top Sessions links to display the top consumers for each consumer type.
On the individual Top Consumers page for each consumer type, enable or disable statistics gathering and SQL tracing for specific consumers.
While the primary interface for End to End Application Tracing is the Oracle Enterprise Manager Database Control, this feature can be managed with DBMS_MONITOR package APIs.
To gather the appropriate statistics using PL/SQL, you need to enable statistics gathering for client identifier, service, module, or action using procedures in the DBMS_MONITOR package.
You can gather statistics by the following criteria:
The default level is the session-level statistics gathering. Statistics gathering is global for the database and continues after an instance is restarted.
The procedure CLIENT_ID_STAT_ENABLE enables statistic gathering for a given client identifier. For example, to enable statistics gathering for a specific client identifier:
EXECUTE DBMS_MONITOR.CLIENT_ID_STAT_ENABLE(client_id => 'OE.OE');
In the example, OE.OE is the client identifier for which you want to collect statistics. You can view client identifiers in the CLIENT_IDENTIFIER column in V$SESSION.
The procedure CLIENT_ID_STAT_DISABLE disables statistic gathering for a given client identifier. For example:
EXECUTE DBMS_MONITOR.CLIENT_ID_STAT_DISABLE(client_id => 'OE.OE');
The procedure SERV_MOD_ACT_STAT_ENABLE enables statistic gathering for a combination of service, module, and action. For example:
EXECUTE DBMS_MONITOR.SERV_MOD_ACT_STAT_ENABLE(service_name => 'ACCTG',
module_name => 'PAYROLL');
EXECUTE DBMS_MONITOR.SERV_MOD_ACT_STAT_ENABLE(service_name => 'ACCTG',
module_name => 'GLEDGER', action_name => 'INSERT ITEM');
If both of the previous commands are executed, statistics are gathered as follows:
For the ACCTG service, because accumulation for each service name is the default
For all actions in the PAYROLL module
For the INSERT ITEM action within the GLEDGER module
The procedure SERV_MOD_ACT_STAT_DISABLE disables statistic gathering for a combination of service, module, and action. For example:
EXECUTE DBMS_MONITOR.SERV_MOD_ACT_STAT_DISABLE(service_name => 'ACCTG',
module_name => 'GLEDGER', action_name => 'INSERT ITEM');
The statistics that have been gathered can be displayed with a number of dynamic views.
The accumulated global statistics for the currently enabled statistics can be displayed with the DBA_ENABLED_AGGREGATIONS view.
The accumulated statistics for a specified client identifier can be displayed in the V$CLIENT_STATS view.
The accumulated statistics for a specified service can be displayed in V$SERVICE_STATS view.
The accumulated statistics for a combination of specified service, module, and action can be displayed in the V$SERV_MOD_ACT_STATS view.
The accumulated statistics for elapsed time of database calls and for CPU use can be displayed in the V$SERVICEMETRIC view.
To enable tracing for client identifier, service, module, action, session, instance or database, you need to 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.
The CLIENT_ID_TRACE_ENABLE procedure enables tracing globally for the database for a given client identifier. For example:
EXECUTE DBMS_MONITOR.CLIENT_ID_TRACE_ENABLE(client_id => 'OE.OE',
waits => TRUE, binds => FALSE);
In this example, OE.OE is the client identifier for which SQL tracing is to be enabled. The TRUE argument specifies that wait information will be present in the trace. The FALSE argument specifies that bind information will not be present in the trace.
The CLIENT_ID_TRACE_DISABLE procedure disables tracing globally for the database for a given client identifier. To disable tracing, for the previous example:
EXECUTE DBMS_MONITOR.CLIENT_ID_TRACE_DISABLE(client_id => 'OE.OE');
The SERV_MOD_ACT_TRACE_ENABLE procedure enables SQL tracing for a given combination of service name, module, and action globally for a database, unless an instance name is specified in the procedure.
EXECUTE DBMS_MONITOR.SERV_MOD_ACT_TRACE_ENABLE(service_name => 'ACCTG',
waits => TRUE, binds => FALSE, instance_name => 'inst1');
In this example, the service ACCTG is specified. The module or action name is not specified. The TRUE argument specifies that wait information will be present in the trace. The FALSE argument specifies that bind information will not be present in the trace. The inst1 instance is specified to enable tracing only for that instance.
To enable tracing for all actions for a given combination of service and module:
EXECUTE DBMS_MONITOR.SERV_MOD_ACT_TRACE_ENABLE(service_name => 'ACCTG',
module_name => 'PAYROLL', waits => TRUE, binds => FALSE,
instance_name => 'inst1');
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. For example, the following disables tracing for the first example in this section:
EXECUTE DBMS_MONITOR.SERV_MOD_ACT_TRACE_DISABLE(service_name => 'ACCTG',
instance_name => 'inst1');
This example disables tracing for the second example in this section:
EXECUTE DBMS_MONITOR.SERV_MOD_ACT_TRACE_DISABLE(service_name => 'ACCTG',
module_name => 'PAYROLL', instance_name => 'inst1');
The SESSION_TRACE_ENABLE procedure enables the trace for a given database session identifier (SID), on the local instance.
To enable tracing for a specific session ID and serial number, determine the values for the session that you want to trace:
SELECT SID, SERIAL#, USERNAME FROM V$SESSION;
SID SERIAL# USERNAME
---------- ---------- ------------------------------
27 60 OE
...
Use the appropriate values to enable tracing for a specific session:
EXECUTE DBMS_MONITOR.SESSION_TRACE_ENABLE(session_id => 27, serial_num => 60,
waits => TRUE, binds => FALSE);
The TRUE argument specifies that wait information will be present in the trace. The FALSE argument specifies that bind information will not be present in the trace.
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);
While 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. The SESSION_TRACE_ENABLE procedure can be invoked by any user to enable session-level SQL trace for their own session. For example:
EXECUTE DBMS_SESSION.SESSION_TRACE_ENABLE(waits => TRUE, binds => FALSE);
The TRUE argument specifies that wait information will be present in the trace. The FALSE argument specifies that bind information will not be present in the trace.
The SESSION_TRACE_DISABLE procedure disables the trace for the invoking session. For example:
EXECUTE DBMS_SESSION.SESSION_TRACE_DISABLE();
The DATABASE_TRACE_ENABLE procedure enables SQL tracing for a given instance or an entire database. For example:
EXECUTE DBMS_MONITOR.DATABASE_TRACE_ENABLE(waits => TRUE, binds => FALSE,
instance_name => 'inst1');
In this example, the inst1 instance is specified to enable tracing for that instance. The TRUE argument specifies that wait information will be present in the trace. The FALSE argument specifies that bind information will not be present in the trace. This example will result in SQL tracing of every SQL in the inst1 instance.
The DATABASE_TRACE_ENABLE procedure will override all other session-level traces, but will be complementary to the client identifier, service, module, and action traces. All new sessions will inherit the wait and bind information specified by this procedure until the DATABASE_TRACE_DISABLE procedure is called. When this procedure is invoked with the instance_name parameter specified, it will reset the session-level SQL trace for the named instance. If this procedure is invoked without the instance_name parameter specified, it will reset the session-level SQL trace for the entire database.
The DATABASE_TRACE_DISABLE procedure disables the tracing for an entire instance or database. For example:
EXECUTE DBMS_MONITOR.DATABASE_TRACE_DISABLE(instance_name => 'inst1');
In this example, all session-level SQL tracing will be disabled for the inst1 instance. 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();
All outstanding traces can be displayed in an Oracle Enterprise Manager report or with the DBA_ENABLED_TRACES view. 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.
The trcsess utility consolidates trace output from selected trace files based on several criteria:
Session Id
Client Id
Service name
Action name
Module name
After trcsess merges the trace information into a single output file, the output file could be processed by TKPROF.
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 as a single dedicated process serves a session during its lifetime. All the trace information for the session can be seen from the trace file belonging to the dedicated server serving it. However, in a shared server configuration a user session is serviced by different processes from time to time. The trace pertaining to the user session is scattered across different trace files belonging to different processes. This makes it difficult to get a complete picture of the life cycle of a session.
The syntax for the trcsess utility is:
trcsess [output=output_file_name] [session=session_id] [clientid=client_id] [service=service_name] [action=action_name] [module=module_name] [trace_files]
where
output specifies the file where the output is generated. If this option is not specified, then standard output is used for the output.
session consolidates the trace information for the session specified. The session identifier is a combination of session index and session serial number, such as 21.2371. You can locate these values in the V$SESSION view.
clientid consolidates the trace information given client Id.
service consolidates the trace information for the given service name.
action consolidates the trace information for the given action name.
module consolidates the trace information for the given module name.
trace_files is a list of all the trace file names, separated by spaces, in which trcsess should look for trace information. The wild card character * can be used to specify the trace file names. If trace files are not specified, all the files in the current directory are taken as input to trcsess.
One of the session, clientid, service, action, or module options must be specified. If more then one of the session, clientid, service, action, or module options is specified, then the trace files which satisfies all the criteria specified are consolidated into the output file.
This sample output of trcsess shows the consolidation of traces for a particular session. In this example the session index and serial number is equal to 21.2371.
trcsess can be invoked with various options. In the following case, all files in current directory are taken as input:
trcsess session=21.2371
In this case, several trace files are specified:
trcsess session=21.2371 main_12359.trc main_12995.trc
The sample output is similar to the following:
[PROCESS ID = 12359] *** 2002-04-02 09:48:28.376 PARSING IN CURSOR #1 len=17 dep=0 uid=27 oct=3 lid=27 tim=868373970961 hv=887450622 ad='22683fb4' select * from cat END OF STMT PARSE #1:c=0,e=339,p=0,cr=0,cu=0,mis=0,r=0,dep=0,og=4,tim=868373970944 EXEC #1:c=0,e=221,p=0,cr=0,cu=0,mis=0,r=0,dep=0,og=4,tim=868373971411 FETCH #1:c=0,e=791,p=0,cr=7,cu=0,mis=0,r=1,dep=0,og=4,tim=868373972435 FETCH #1:c=0,e=1486,p=0,cr=20,cu=0,mis=0,r=6,dep=0,og=4,tim=868373986238 *** 2002-04-02 10:03:58.058 XCTEND rlbk=0, rd_only=1 STAT #1 id=1 cnt=7 pid=0 pos=1 obj=0 op='FILTER ' STAT #1 id=2 cnt=7 pid=1 pos=1 obj=18 op='TABLE ACCESS BY INDEX ROWID OBJ$ ' 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] *** 2002-04-02 10:04:32.738 Archiving is disabled Archiving is disabled
The SQL Trace facility and TKPROF let 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.
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
Username 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, 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 it is possible to enable the SQL Trace facility for a session or for an instance, it is recommended 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 have a severe performance impact and may result in increased system overhead, excessive CPU usage, and inadequate disk space.
See Also:
"Enabling and Disabling for End to End Tracing" for information on using theDBMS_SESSION or DBMS_MONITOR packages to enable SQL tracing for a session or an instance.Oracle provides the trcsess command-line utility that consolidates tracing information from several trace files based on specific criteria, such as session or client Id. See "Using the trcsess Utility".
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,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.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 lets you easily locate those statements that are using the greatest resource. With experience or with baselines available, you can assess whether the resources used are reasonable given the work done.
Follow these steps 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 can be used to store the statistics in a database.
Interpret the output file created in Step 3.
Optionally, run the SQL script produced in Step 3 to store the statistics in the database.
In the following sections, each of these steps is discussed in depth.
When the SQL Trace facility is enabled for a session, Oracle generates a trace file containing statistics for traced SQL statements for that session. When the SQL Trace facility is enabled for an instance, Oracle creates a separate trace file for each process. Before enabling the SQL Trace facility:
Check the settings of the TIMED_STATISTICS, MAX_DUMP_FILE_SIZE, and USER_DUMP_DEST initialization parameters. See Table 21-1.
Table 21-1 Initialization Parameters to Check Before Enabling SQL Trace
See Also:
"Interpreting Statistics" for considerations when setting the STATISTICS_LEVEL, DB_CACHE_ADVICE, TIMED_STATISTICS, or TIMED_OS_STATISTICS initialization parameters
"Setting the Level of Statistics Collection" for information about STATISTICS_LEVEL settings
Oracle Database Reference for information on the STATISTICS_LEVEL initialization parameter
Oracle Database Reference for information about the dynamic performance V$STATISTICS_LEVEL view
Devise a way of recognizing the resulting trace file.
Be sure you know how to distinguish the trace files by name. Oracle writes them to the user dump destination specified by USER_DUMP_DEST. However, this directory can soon contain many hundreds of files, usually with generated names. It might be difficult to match trace files back to the session or process that created them. You can tag trace files by including in your programs a statement like 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. 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';
See Also:
Oracle Database Reference for information on theTRACEFILE_IDENTIFIER initialization parameterIf the operating system retains multiple versions of files, then be sure that the version limit is high enough to accommodate the number of trace files you expect the SQL Trace facility to generate.
The generated trace files can be owned by an operating system user other than yourself. This user must make the trace files available to you before you can use TKPROF to format them.
See Also:
"Setting the Level of Statistics Collection" for information about STATISTICS_LEVEL settings
Oracle Database Reference for information on the STATISTICS_LEVEL initialization parameter
Enable the SQL Trace facility for the session by using one of the following:
DBMS_SESSION.SET_SQL_TRACE procedure
ALTER SESSION SET SQL_TRACE = TRUE;
Caution:
Because running the SQL Trace facility increases system overhead, enable it only when tuning SQL statements, and disable it when you are finished. It is recommended that you use the DBMS_SESSION or DBMS_MONITOR packages to enable SQL tracing for a session or an instance instead. For more information on using these packages, see "Enabling and Disabling for End to End Tracing".You might need to modify an application to contain the ALTER SESSION statement. For example, to issue the ALTER SESSION statement in Oracle Forms, invoke Oracle Forms using the -s option, or invoke Oracle Forms (Design) using the statistics option. For more information on Oracle Forms, see the Oracle Forms Reference.
To disable the SQL Trace facility for the session, enter:
ALTER SESSION SET SQL_TRACE = FALSE;
The SQL Trace facility is automatically disabled for the session when the application disconnects from Oracle.
You can enable the SQL Trace facility for an instance by setting the value of the SQL_TRACE initialization parameter to TRUE in the initialization file.
SQL_TRACE = TRUE
After the instance has been restarted with the updated initialization parameter file, SQL Trace is enabled for the instance and statistics are collected for all sessions. If the SQL Trace facility has been enabled for the instance, you can disable it for the instance by setting the value of the SQL_TRACE parameter to FALSE.
Note:
SettingSQL_TRACE to TRUE can have a severe performance impact. For more information, see Oracle Database Reference.TKPROF accepts as input a trace file produced by the SQL Trace facility, and it produces a formatted output file. TKPROF can also be used to generate execution plans.
After the SQL Trace facility has generated a number of trace files, you can:
Run TKPROF on each individual trace file, producing a number of 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. See "Using the trcsess Utility".
TKPROF does not report COMMITs and ROLLBACKs that are recorded in the trace file.
Sample output from TKPROF is as follows:
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.
TKPROF is run from the operating system prompt. The syntax is:
tkprof filename1 filename2 [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]
The input and output files are the only required arguments. If you invoke TKPROF without arguments, then online help is displayed. Use the arguments in Table 21-2 with TKPROF.
Table 21-2 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. Values are |
|
|
Sorts traced SQL statements in descending order of specified sort option before listing them into the output file. If more than one option is 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 TKPROF lists statements into the output file in order of first use. Sort options are listed as follows: |
|
|
Number of times parsed. |
|
|
CPU time spent parsing. |
|
|
Elapsed time spent parsing. |
|
|
Number of physical reads from disk during parse. |
|
|
Number of consistent mode block reads during parse. |
|
|
Number of current mode block reads during parse. |
|
|
Number of library cache misses during parse. |
|
|
Number of executes. |
|
|
CPU time spent executing. |
|
|
Elapsed time spent executing. |
|
|
Number of physical reads from disk during execute. |
|
|
Number of consistent mode block reads during execute. |
|
|
Number of current mode block reads during execute. |
|
|
Number of rows processed during execute. |
|
|
Number of library cache misses during execute. |
|
|
Number of fetches. |
|
|
CPU time spent fetching. |
|
|
Elapsed time spent fetching. |
|
|
Number of physical reads from disk during fetch. |
|
|
Number of consistent mode block reads during fetch. |
|
|
Number of current mode block reads during fetch. |
|
|
Number of rows fetched. |
|
|
Userid of user that parsed the cursor. |
|
|
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 allows multiple individuals to run If you use the If no plan table exists, |
|
|
Determines the execution plan for each SQL statement in the trace file and writes these execution plans to the output file. |
|
|
Creates a SQL script with the specified |
|
|
An integer that controls the output line width of some TKPROF output, such as the explain plan. This parameter is useful for post-processing of TKPROF output. |
This section provides two brief examples of TKPROF usage. For an complete example of TKPROF output, see "Sample TKPROF Output".
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. For example, 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
This example runs TKPROF, accepts a trace file named dlsun12_jane_fg_sqlplus_007.trc, and writes a formatted output file named outputa.prf:
TKPROF dlsun12_jane_fg_sqlplus_007.trc OUTPUTA.PRF EXPLAIN=scott/tiger TABLE=scott.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 scott 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, TKPROF output does not automatically include the actual execution plan of the SQL statement. In this situation, you can use theEXPLAIN 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 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.
This section provides pointers for interpreting TKPROF output.
While TKPROF provides a very useful analysis, the most accurate measure of efficiency is the actual performance of the application in question. At the end of the TKPROF output is a summary of the work done in the database engine by the process during the period that the trace was running.
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 21-3.
Table 21-3 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. 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, all executes, and all 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 21-4.
Table 21-4 SQL Trace Statistics for Parses, Executes, and Fetches.
Statistics about the processed rows appear in the ROWS column. See Table 21-5.
Table 21-5 SQL Trace Statistics for the ROWS Column
| SQL Trace Statistic | Meaning |
|---|---|
|
|
Total 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.Row source operations provide the number of rows processed for each operation executed on the rows and additional row source information, such as physical reads and writes. The following is a sample:
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)
In this sample TKPROF output, note the following under the Row Source Operation column:
cr specifies consistent reads performed by the row source
r specifies physical reads performed by the row source
w specifies physical writes performed by the row source
time specifies time in microseconds
If wait event information exists, 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';
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 in mind when interpreting statistics. In particular, be careful when interpreting the results from simple queries that execute very quickly.
Sometimes, in order to execute a SQL statement issued by a user, Oracle must issue additional statements. Such statements are called recursive calls or recursive SQL statements. For example, if you insert a row into a table that does not have enough space to hold that row, then Oracle makes recursive calls to allocate the space dynamically. Recursive calls are also generated when data dictionary information is not available in the data dictionary cache and 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 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 as well as those for recursive calls caused by that statement.
Note:
Recursive SQL statistics are not included for SQL-level operations. However, recursive SQL statistics are included for operations done under the SQL level, such as triggers. For more information, see "Avoiding the Trigger Trap".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 "Sample TKPROF Output", the statement resulted in one library cache miss for the parse step and no misses for the execute step.
The following SQL statements are truncated to 25 characters in the SQL Trace file:
SET ROLE GRANT ALTER USER ALTER ROLE CREATE USER CREATE ROLE
TKPROF also lists the user ID of the user issuing each SQL statement. If the SQL Trace input file contained statistics from multiple users and the statement was issued by more than one user, 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.
If you specify the EXPLAIN parameter on the TKPROF statement line, then TKPROF uses the EXPLAIN PLAN statement to generate the execution plan of each SQL statement traced. TKPROF also displays the number of rows processed by each step of the execution plan.
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.See Also:
Chapter 12, "Using EXPLAIN PLAN" for more information on interpreting execution plansYou need to find which SQL statements use the most CPU or disk resource. If the TIMED_STATISTICS parameter is on, then you can find high CPU activity in the CPU column. If TIMED_STATISTICS is not on, then check the QUERY and CURRENT columns.
See Also:
"Examples of TKPROF Statement" for examples of finding resource intensive statementsWith 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.
You can also see that 10 unnecessary parse call were made (because there were 11 parse calls for this one statement) and that array fetch operations were performed. You know this because more rows were fetched than there were fetches performed. A large gap between CPU and elapsed timings indicates Physical I/Os (PIOs).
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 the TKPROF_TABLE.
After running TKPROF, you can run this script to store the statistics in the database.
When you run TKPROF, use the INSERT parameter to specify the name of the generated SQL script. If you omit this parameter, then TKPROF does not generate a script.
After TKPROF has created the SQL script, you might want to edit the script before running it. If you have already created an output table for previously collected statistics and 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 21-6 help you identify a row of statistics.
Table 21-6 TKPROF_TABLE Columns for Identifying a Row of Statistics
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 the section "Sample TKPROF Output".
SELECT * FROM TKPROF_TABLE;
Oracle responds with something similar to:
DATE_OF_INSERT CURSOR_NUM DEPTH USER_ID PARSE_CNT PARSE_CPU PARSE_ELAP
-------------- ---------- ----- ------- --------- --------- ----------
21-DEC-1998 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 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, experiment with different datatypes in the query.
To avoid this problem, 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 ---- --------- ---- 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 needs to 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). On the other hand, if the interference is contributing only a modest overhead, and the statement is essentially efficient, then its statistics might not need to be analyzed.
The resources reported for a statement include those for all of the SQL issued while the statement was being processed. Therefore, they include any resources used within a trigger, along with the resources used by any other recursive SQL, such as that used in space allocation. Avoid trying to tune the DML statement if the resource is actually being consumed at a lower level of recursion.
If a DML statement appears to be consuming far more resources than you would expect, then check the tables involved in the statement for triggers and constraints that could be greatly increasing the resource usage.
This section provides an example of TKPROF output. Portions have been edited out for the sake of brevity.
TKPROF: Release 10.1.0.0.0 - Beta on Mon Feb 10 14:43:00 2003 (c) Copyright 2001 Oracle Corporation. All rights reserved. Trace file: main_ora_27621.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 ********************************************************************************
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
********************************************************************************
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.
