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SQL> alter session set sql_trace=true; Session altered. SQL> select * from emp, dept 2 where emp.deptno=dept.deptno; SQL> alter session set sql_trace=false; SQL> exit Now we simply format our trace file from the command line using tkprof, as follows: C:\oracle\admin\oratest\udump>tkprof ORA01528.TRC tkprof_rep1.txt We can open the tkprof_rep1.txt file and view the report. I don t intend to discuss the output in detail here, but briefly, at the top of the report we should see the actual SQL statement issued. Next, we get the execution report for the statement. call count ------- -----Parse 1 Execute 1 Fetch 2 ------- -----total 4 cpu elapsed disk query current rows -------- ---------- ---------- ---------- --------0.01 0.02 0 0 0 0 0.00 0.00 0 0 0 0 0.00 0.00 0 2 8 14 -------- ---------- ---------- ---------- --------0.01 0.02 0 2 8 14

This report illustrates the three different phases of Oracle SQL processing: parse, execute, and fetch. For each processing phase, we see the following: The number of times that phase occurred The CPU time elapsed for the phase The real-world time that elapsed The number of physical I/O operations that took place on the disk The number of blocks processed in consistent-read mode The number of blocks read in current mode (reads that occur when the data is changed by an external process during the execution of the statement) The number of blocks that were affected by the statement

if (myComponent.get_isInitialized()) alert ('My component is initialized');

Note If you are not familiar with physical I/O, and consistent-read and current mode of blocks, see

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Following the execution report, we can see the optimizer approach used and the user ID of the session that enabled the trace (we can match this ID against the all_users table to get the actual username): Misses in library cache during parse: 0 Optimizer goal: CHOOSE Parsing user id: 52 Additionally, we see the number of times the statement wasn t found in the library cache. The first time a statement is executed, this count should be 1, but it should be 0 in subsequent calls if bind variables are used. Again, watch for the absence of bind variables a large number of library cache misses would indicate that. Finally, the report displays the execution plan used for this statement. This information is similar to that provided by autotrace, with the important difference that the number of actual rows flowing out of each step in the plan is revealed: Rows Row Source Operation ------- --------------------------------------------------14 MERGE JOIN 5 SORT JOIN 4 TABLE ACCESS FULL DEPT 14 SORT JOIN 14 TABLE ACCESS FULL EMP For full details on the use of sql_trace and tkprof, and interpretation of the trace data, see 10 of Oracle9i Database Performance Tuning Guide and Reference. Another excellent reference is 10, Tuning Strategies and Tools, in Tom Kyte s Expert One-on-One Oracle (Apress, ISBN: 1-59059-243-3). The most comprehensive (and an eminently readable) book on tracing in general is Cary Millsap s Optimizing Oracle Performance (O Reilly, ISBN: 0596-00527-X).

You can just as easily set a value to a property using the set accessor as done in the following script:

JDBCUtil.close( rset ); JDBCUtil.close( pstmt ); } } We execute the function f() in the method _doExecuteCallableStatement(). Note how we tag the anonymous block. private static void _doExecuteCallableStatement( Connection conn, String tag ) throws SQLException { CallableStatement cstmt = null; ResultSet rset = null; String stmtString = "begin" + tag + " := f; end;"; try { cstmt = conn.prepareCall( stmtString ); cstmt.registerOutParameter( 1, OracleTypes.CURSOR ); cstmt.execute(); rset = (ResultSet) cstmt.getObject( 1 ); } finally { JDBCUtil.close( rset ); JDBCUtil.close( cstmt ); } } } The following snippet shows the relevant portion of the tkprof output of our statement execution profile for the case when implicit caching was disabled: select /*+ implicit disabled */ count(*) from dual call count ------- -----Parse 1000 Execute 1000 Fetch 1000 ------- -----total 3000 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.25 0.30 0 0 0 0.23 0.23 0 0 0 0.20 0.27 0 0 0 -------- ---------- ---------- ---------- ---------0.68 0.82 0 0 0 rows ---------0 0 1000 ---------1000

Misses in library cache during parse: 0

myComponent.set_id('UniqueComponentID');

Notice how the statement was soft-parsed 1,000 times. This is because we prepared and closed the statement (and its cursor) in a loop 1,000 times, and since statement caching was disabled, each close of the statement physically closed the statement. Now take a look at the profile for the case when implicit caching was enabled: select /*+ implicit enabled */ count(*) from dual call count ------- -----Parse 1 Execute 1000 Fetch 1000 ------- -----total 2001 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.00 0.00 0 0 0 0.29 0.26 0 0 0 0.14 0.15 0 0 0 -------- ---------- ---------- ---------- ---------0.43 0.42 0 0 0 rows ---------0 0 1000 ---------1000

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