The DBMS_PROFILER
package provides an interface to profile existing PL/SQL applications and identify performance bottlenecks. You can then collect and persistently store the PL/SQL profiler data.
This chapter contains the following topics:
Overview
Security Model
Operational Notes
Exceptions
This package enables the collection of profiler (performance) data for performance improvement or for determining code coverage for PL/SQL applications. Application developers can use code coverage data to focus their incremental testing efforts.
With this interface, you can generate profiling information for all named library units that are executed in a session. The profiler gathers information at the PL/SQL virtual machine level. This information includes the total number of times each line has been executed, the total amount of time that has been spent executing that line, and the minimum and maximum times that have been spent on a particular execution of that line.
Note:
It is possible to infer the code coverage figures for PL/SQL units for which data has been collected.The profiling information is stored in database tables. This enables querying on the data: you can build customizable reports (summary reports, hottest lines, code coverage data, and so on. And you can analyze the data.
The PROFTAB.SQL
script creates tables with the columns, datatypes, and definitions as shown in Table 116-1, Table 116-2, and Table 116-3.
Table 116-1 Columns in Table PLSQL_PROFILER_RUNS
Column | Datatype | Definition |
---|---|---|
|
|
Unique run identifier from plsql_profiler_runnumber |
|
|
Runid of related run (for client/server correlation) |
|
|
User who started run |
|
|
Start time of run |
|
|
User provided comment for this run |
|
|
Elapsed time for this run in nanoseconds |
|
|
Currently unused |
|
|
Additional comment |
|
|
Unused |
Table 116-2 Columns in Table PLSQL_PROFILER_UNITS
Column | Datatype | Definition |
---|---|---|
|
|
Primary key, references plsql_profiler_runs, |
|
|
Primary key, internally generated library unit # |
|
|
Library unit type |
|
|
Library unit owner name |
|
|
Library unit name timestamp on library unit |
|
|
In the future will be used to detect changes to unit between runs |
|
|
Total time spent in this unit in nanoseconds. The profiler does not set this field, but it is provided for the convenience of analysis tools. |
|
|
Unused |
|
|
Unused |
Table 116-3 Columns in Table PLSQL_PROFILER_DATA
Column | Datatype | Definition |
---|---|---|
|
|
Primary key, unique (generated) run identifier |
|
|
Primary key, internally generated library unit number |
|
|
Primary key, not null, line number in unit |
|
|
Number of times line was executed |
|
|
Total time spent executing line in nanoseconds |
|
|
Minimum execution time for this line in nanoseconds |
|
|
Maximum execution time for this line in nanoseconds |
|
|
Unused |
|
|
Unused |
|
|
Unused |
|
|
Unused |
With Oracle database version 8.x, a sample textual report writer(profrep.sql) is provided with the PL/SQL demo scripts.
Note that prior to Oracle Database 10g, the DBMS_PROFILER
package was not automatically loaded when the database was created, and the Oracle-supplied PROFLOAD.SQL
script was used to create it. In 10g and beyond, the DBMS_PROFILER
package is loaded automatically when the database is created, and PROFLOAD.SQL
is no longer needed.
The profiler only gathers data for units for which a user has CREATE
privilege; you cannot use the package to profile units for which EXECUTE ONLY
access has been granted. In general, if a user can debug a unit, the same user can profile it. However, a unit can be profiled whether or not it has been compiled DEBUG.
Oracle advises that modules that are being profiled should be compiled DEBUG,
since this provides additional information about the unit in the database.
Note:
DBMS_PROFILER
treats any program unit that is compiled in NATIVE
mode as if you do not have CREATE
privilege, that is, you will not get any output.Improving application performance is an iterative process. Each iteration involves the following steps:
Running the application with one or more benchmark tests with profiler data collection enabled.
Analyzing the profiler data and identifying performance problems.
Fixing the problems.
The PL/SQL profiler supports this process using the concept of a "run". A run involves running the application through benchmark tests with profiler data collection enabled. You can control the beginning and the ending of a run by calling the START_PROFILER
and STOP_PROFILER
functions.
The user must first create database tables in the profiler user's schema to collect the data. The PROFTAB
.SQL
script creates the tables and other data structures required for persistently storing the profiler data.
Note that running PROFTAB.SQL
drops the current tables. The PROFTAB.SQL
script is in the RDBMS/ADMIN
directory. Some PL/SQL operations, such as the first execution of a PL/SQL unit, may involve I/O to catalog tables to load the byte code for the PL/SQL unit being executed. Also, it may take some time executing package initialization code the first time a package procedure or function is called.
To avoid timing this overhead, "warm up" the database before collecting profile data. To do this, run the application once without gathering profiler data.
You can allow profiling across all users of a system, for example, to profile all users of a package, independent of who is using it. In such cases, the SYSADMIN
should use a modified PROFTAB.SQL
script which:
Creates the profiler tables and sequence
Grants SELECT
/INSERT
/UPDATE
on those tables and sequence to all users
Defines public synonyms for the tables and sequence
Note:
Do not alter the actual fields of the tables.A typical run then involves:
Starting profiler data collection in the run.
Executing PL/SQL code for which profiler and code coverage data is required.
Stopping profiler data collection, which writes the collected data for the run into database tables
Note:
The collected profiler data is not automatically stored when the user disconnects. You must issue an explicit call to theFLUSH_DATA
or the STOP_PROFILER
function to store the data at the end of the session. Stopping data collection stores the collected data.As the application executes, profiler data is collected in memory data structures that last for the duration of the run. You can call the FLUSH_DATA
function at intermediate points during the run to get incremental data and to free memory for allocated profiler data structures. Flushing the collected data involves storing collected data in the database tables created earlier.
See Also:
"FLUSH_DATA Function and Procedure".The table plsql_profiler_data
contains one row for each line of the source unit for which code was generated. The line# value specifies which source line. If the row exists, and the total_occur value in that row is > 0, some code associated with that line was executed. If the row exists, and total_occur value is 0, no code associated with that line was executed. If the row doesn't exist in the table, no code was generated for that line, and therefore it should not be mentioned in reports
If the source of a single statement is on a single line, any code generated for that statement will be attributed to that line number. (In some cases, such as a simple declaration, or because of optimization, no code will be needed). To get coverage information, units should be compiled with PLSQL_OPTIMIZE_LEVEL=1
.
If a statement spans multiple lines, any code generated for that statement will be attributed to some line in the range, but it is not guaranteed that every line in the range will have code attributed to it. In such a case there will be gaps in the set of line# values. In particular, multi-line SQL-related statements may appear to be on a single line (usually the first). This is because PL/SQL passes the processed text of the cursor to the SQL engine; therefore, as far as PL/SQL is concerned, the entire SQL statement is a single indivisible operation.
When multiple statements are on the same line, the profiler will combine the occurrences for each statement. This may be confusing if a line has embedded control flow. For example, if 'then ...'
and 'else ...'
are on the same line, it will not be possible to determine whether the 'then'
or the 'else'
was taken.
In general, profiler and coverage reports are most easily interpreted if each statement is on its own line.
Each routine in this package has two versions that allow you to determine how errors are reported.
A function that returns success/failure as a status value and will never raise an exception
A procedure that returns normally if it succeeds and raises an exception if it fails
In each case, the parameters of the function and procedure are identical. Only the method by which errors are reported differs. If there is an error, there is a correspondence between the error codes that the functions return, and the exceptions that the procedures raise.
To avoid redundancy, the following section only provides details about the functional form.
Table 116-4 DBMS_PROFILER Exceptions
Exception | Description |
---|---|
|
Corresponds to error_version. |
|
Corresponds to either "error_param" or "error_io". |
A 0
return value from any function denotes successful completion; a nonzero return value denotes an error condition. The possible errors are as follows:
'A subprogram was called with an incorrect parameter.'
error_param constant binary_integer := 1;
'Data flush operation failed. Check whether the profiler tables have been created, are accessible, and that there is adequate space.'
error_io constant binary_integer := 2;
There is a mismatch between package and database implementation. Oracle returns this error if an incorrect version of the DBMS_PROFILER
package is installed, and if the version of the profiler package cannot work with this database version. The only recovery is to install the correct version of the package.
error_version constant binary_integer := -1;
Table 116-5 DBMS_PROFILER Package Subprograms
Subprogram | Description |
---|---|
Flushes profiler data collected in the user's session |
|
Gets the version of this API |
|
Verifies that this version of the |
|
Pauses profiler data collection |
|
Resumes profiler data collection |
|
Starts profiler data collection in the user's session |
|
Stops profiler data collection in the user's session |
This function flushes profiler data collected in the user's session. The data is flushed to database tables, which are expected to preexist.
Note:
Use thePROFTAB
.SQL
script to create the tables and other data structures required for persistently storing the profiler data.This function verifies that this version of the DBMS_PROFILER
package can work with the implementation in the database.
This function starts profiler data collection in the user's session.
There are two overloaded forms of the START_PROFILER
function; one returns the run number of the started run, as well as the result of the call. The other does not return the run number. The first form is intended for use with GUI-based tools controlling the profiler.
DBMS_PROFILER.START_PROFILER( run_comment IN VARCHAR2 := sysdate, run_comment1 IN VARCHAR2 :='', run_number OUT BINARY_INTEGER) RETURN BINARY_INTEGER; DBMS_PROFILER.START_PROFILER( run_comment IN VARCHAR2 := sysdate, run_comment1 IN VARCHAR2 :='') RETURN BINARY_INTEGER; DBMS_PROFILER.START_PROFILER( run_comment IN VARCHAR2 := sysdate, run_comment1 IN VARCHAR2 :='', run_number OUT BINARY_INTEGER); DBMS_PROFILER.START_PROFILER( run_comment IN VARCHAR2 := sysdate, run_comment1 IN VARCHAR2 :='');
Table 116-7 START_PROFILER Function Parameters
Parameter | Description |
---|---|
|
Each profiler run can be associated with a comment. For example, the comment could provide the name and version of the benchmark test that was used to collect data. |
|
Stores the number of the run so you can store and later recall the run's data. |
|
Allows you to make interesting comments about the run. |