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benchmark@ORA10G> insert into t1 select mod(rownum, 2 ) from all_objects, all_users where rownum <= 20000; 20000 rows created. benchmark@ORA10G> select count(*) from t1 where x = 0; 10000 benchmark@ORA10G> select count(*) from t1 where x = 1; 10000 benchmark@ORA10G> commit; Commit complete. benchmark@ORA10G> create index t1_idx on t1(x); Index created. The CBO works on statistics gathered on a table s data. We collect statistics on both tables and indexes next: benchmark@ORA10G> begin 2 dbms_stats.gather_table_stats( 3 ownname => 'BENCHMARK', 4 tabname => 'T', 5 cascade => true ); 6 dbms_stats.gather_table_stats( 7 ownname => 'BENCHMARK', 8 tabname => 'T1', 9 cascade => true ); 10 end; 11 / PL/SQL procedure successfully completed. We ll compare the following two queries now (we execute them along the way so that Oracle s cache gets warmed up): benchmark@ORA10G> select count(*) 2 from t1, t 3 where t1.x = t.x 4 and t1.x = 0; 100000000

benchmark@ORA10G> select /*+ RULE */count(*) 2 from t1, t 3 where t1.x = t.x 4 and t1.x = 0; 100000000 Note that the queries are the same except that in the second query, we give the RULE hint to force Oracle to use the RBO to generate its execution plan. Let s now use the RUNSTATS package to compare these two queries. The first step when using RUNSTATS is to mark the beginning of the comparison by invoking the rs_start procedure. This procedure takes a snapshot of all database statistics that we want to compare in our two approaches: benchmark@ORA10G> exec runstats_pkg.rs_start; PL/SQL procedure successfully completed. We execute our first query: benchmark@ORA10G> select count(*) 2 from t1, t 3 where t1.x = t.x 4 and t1.x = 0; 100000000 We now mark the middle of our benchmark to take another snapshot of the database statistics: benchmark@ORA10G> exec runstats_pkg.rs_middle; PL/SQL procedure successfully completed. and execute the second query: benchmark@ORA10G> select /*+ RULE */count(*) 2 from t1, t 3 where t1.x = t.x 4 and t1.x = 0; 100000000 Finally, we end the benchmarking by invoking the rs_stop method, which also prints out our comparison results: benchmark@ORA10G> exec runstats_pkg.rs_stop; Run1 ran in 1199 hsecs Run2 ran in 2687 hsecs run 1 ran in 44.62% of the time

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AsyncPostBackError event. You can, for instance, capture the message of the exception and dynamically set it to the AsyncPostBackErrorMessage property among other desired

poolConfigProps.put(OracleOCIConnectionPool.CONNPOOL_MIN_LIMIT, "2") ; poolConfigProps.put(OracleOCIConnectionPool.CONNPOOL_INCREMENT, "1") ; poolConfigProps.put(OracleOCIConnectionPool.CONNPOOL_MAX_LIMIT, "20") ; cpool.setPoolConfig(poolConfigProps); System.out.println ("Min poolsize Limit = " + cpool.getMinLimit()); System.out.println ("Max poolsize Limit = " + cpool.getMaxLimit()); System.out.println ("Connection Increment = " + cpool.getConnectionIncrement()); Up until this point, this program is the same as the single-threaded program, AnalyzeOCI ConnPoolSingleThread, which we saw in the previous section. After this, we create the number of threads as specified by the command-line parameter and start them. Thread [] threads = new Thread[ _numOfSessionsToOpen ]; for( int i = 0; i<threads.length; i++ ) { (threads[i] = new WorkerThread( cpool, i )).start(); } Finally, we wait for all threads to finish in a loop. This ends the main() program, which is followed by the definition of the _getNumOfSessionsToOpen() method at the end: // wait until all threads are done. for( int i = 0; i<threads.length; i++ ) { threads[i].join(); } cpool.close(); }// end of main private static int _getNumOfSessionsToOpen( String[] args ) { int numOfSessionsToOpen = 6; //by default open 6 sessions if( args.length == 1 ) { numOfSessionsToOpen = Integer.parseInt( args[0] ); } System.out.println("Total number of sessions to open for " + "scott and benchmark = " + numOfSessionsToOpen); return numOfSessionsToOpen; } private static int _numOfSessionsToOpen; }

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