ASP.NET Web PDF Document Viewer/Editor Control Library

Asynchronous computations are different from normal, synchronous computations: an asynchronous computation tends to hop between different underlying .NET threads. To see this, let s augment the asynchronous computation with diagnostics that show the ID of the underlying .NET thread at each point of active execution. You can do this by replacing uses of printfn in the function fetchAsync with uses of the following function: let tprintfn fmt = printf "[.NET Thread %d]" System.Threading.Thread.CurrentThread.ManagedThreadId; printfn fmt After doing this, the output changes to the following:

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to_char( ( (c.value-b.value)-(b.value-a.value)), '999,999,999' ) data run_stats a, run_stats b, run_stats c a.name = b.name b.name = c.name a.runid = 'before' b.runid = 'after 1' c.runid = 'after 2'

and abs( (c.value-b.value) - (b.value-a.value) ) > p_difference_threshold order by abs( (c.value-b.value)-(b.value-a.value)) ) loop dbms_output.put_line( x.data ); end loop; dbms_output.put_line( chr(9) ); dbms_output.put_line ( 'Run1 latches total versus runs -- difference and pct' ); dbms_output.put_line ( lpad( 'Run1', 12 ) || lpad( 'Run2', 12 ) || lpad( 'Diff', 12 ) || lpad( 'Pct', 10 ) ); for x in ( select to_char( to_char( to_char( to_char( run1, '999,999,999' ) || run2, '999,999,999' ) || diff, '999,999,999' ) || round( run1/decode( run2, 0, to_number(0), run2) *100,2 ), '99,999.99' ) || '%' data sum(b.value-a.value) run1, sum(c.value-b.value) run2, sum( (c.value-b.value)-(b.value-a.value)) diff run_stats a, run_stats b, run_stats c a.name = b.name b.name = c.name a.runid = 'before' b.runid = 'after 1' c.runid = 'after 2' a.name like 'LATCH%'

12]Creating request for MOMA... 13]Creating request for British Museum... 12]Creating request for Prado... 8]Getting response for MOMA... 8]Reading response for MOMA... 9]Getting response for Prado... 9]Reading response for Prado... 9]Read 188 characters for Prado... 8]Read 41635 characters for MOMA... 8]Getting response for British Museum... 8]Reading response for British Museum... 8]Read 24341 characters for British Museum...

85 from ( select 86 87 from 88 where 89 and 90 and 91 and 92 and 93 and 94 ) 95 ) loop 96 dbms_output.put_line( x.data ); 97 end loop; 98 end; 99 100 end; 101 / Package body created.

Now you are ready to use Runstats. By way of example, we'll demonstrate how to use Runstats to see which is more efficient, a single bulk INSERT versus row-by-row processing. We ll start by setting up two tables into which we ll insert 1,000,000 rows (the BIG_TABLE creation script is provided later in this section):

Note how each individual Async program hops between threads; the MOMA request started on .NET thread 12 and finished life on .NET thread 8. Each asynchronous computation in Listing 13-5 executes in the following way: Each asynchronous computation starts life as a work item in the .NET thread pool. (The .NET thread pool is explained in the What Is the .NET Thread Pool sidebar.) These are processed by a number of .NET threads. When the asynchronous computations reach the GetResponseAsync and ReadToEndAsync calls, the requests are made and the continuations are registered as I/O completion actions in the .NET thread pool. No thread is used while the request is in progress. When the requests complete, they trigger a callback in the .NET thread pool. These may be serviced by different threads than those that originated the calls.

ops$tkyte%ORA11GR2> create table t1 2 as 3 select * from big_table.big_table 4 where 1=0; Table created. ops$tkyte%ORA11GR2> create table t2 2 as 3 select * from big_table.big_table 4 where 1=0; Table created. And now we are ready to perform the first method of inserting the records, using a single SQL statement. We start by calling RUNSTATS_PKG.RS_START: ops$tkyte%ORA11GR2> exec runstats_pkg.rs_start; PL/SQL procedure successfully completed. ops$tkyte%ORA11GR2> insert into t1 2 select * 3 from big_table.big_table 4 where rownum <= 1000000; 1000000 rows created. ops$tkyte%ORA11GR2> commit; Commit complete. Now we are ready to perform the second method, row by row insertion of data: ops$tkyte%ORA11GR2> exec runstats_pkg.rs_middle; PL/SQL procedure successfully completed. ops$tkyte%ORA11GR2> begin 2 for x in ( select * 3 from big_table.big_table 4 where rownum <= 1000000 ) 5 loop 6 insert into t2 values X; 7 end loop; 8 commit; 9 end; 10 / PL/SQL procedure successfully completed. And finally, we ll generate the report: ops$tkyte%ORA11GR2> exec runstats_pkg.rs_stop(1000000) Run1 ran in 411 cpu hsecs Run2 ran in 6192 cpu hsecs run 1 ran in 6.64% of the time Name STAT...opened cursors cumulati STAT...execute count Run1 213 213 Run2 1,000,365 1,000,372 Diff 1,000,152 1,000,159

LATCH.shared pool STAT...recursive calls STAT...physical read total byt STAT...cell physical IO interc STAT...physical read bytes STAT...db block changes STAT...file io wait time LATCH.cache buffers chains STAT...undo change vector size STAT...redo size