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58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 from where and and and and
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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'
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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%'
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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.
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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):
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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
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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
2,820 3,256 122,503,168 122,503,168 122,503,168 110,810 5,094,828 571,469 3,885,808 120,944,520
1,006,421 1,003,601 1,014,103 1,010,847 124,395,520 1,892,352 124,395,520 1,892,352 124,395,520 1,892,352 2,087,125 1,976,315 438,102 -4,656,726 5,510,416 4,938,947 67,958,316 64,072,508 379,497,588 258,553,068
Run1 latches total versus runs -- difference and pct Run1 Run2 Diff Pct 804,522 6,840,599 6,036,077 11.76% PL/SQL procedure successfully completed. This confirms you have the RUNSTATS_PKG package installed and shows you why you should use a single SQL statement instead of a bunch of procedural code when developing applications whenever possible!
Mystat
Mystat.sql and its companion, mystat2.sql, are used to show the increase in some Oracle statistic before and after some operation. Mystat.sql captures the begin value of some statistic set echo off set verify off column value new_val V define S="&1" set autotrace off select a.name, b.value from v$statname a, v$mystat b where a.statistic# = b.statistic# and lower(a.name) like '%' || lower('&S')||'%' / set echo on and mystat2.sql reports the difference (&V is populated by running the first script, mystat.sql it uses the SQL*Plus NEW_VAL feature for that. It contains the last VALUE selected from the query above): set echo off set verify off select a.name, b.value V, to_char(b.value-&V,'999,999,999,999') diff from v$statname a, v$mystat b where a.statistic# = b.statistic# and lower(a.name) like '%' || lower('&S')||'%' / set echo on
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