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The scripts I have used to compare the costs for sorting in the four different environments are very similar to the scripts I used in 12. I have a pair of scripts in the online code suite called pat_dump.sql and sas_dump.sql that run the following query after setting the pga_aggregate_target or sort_area_size respectively:
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CHAPTER 13 SORTING AND MERGE JOINS
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select sortcode from (select * from t1 where rownum <= 300000) order by sortcode ; These scripts are driven by four other scripts two for pat_dump.sql, and two for sas_dump.sql. The calling scripts are pat_cpu_harness.sql, pat_nocpu_harness.sql, sas_cpu_harness.sql, sas_nocpu_harness.sql. As you can infer from the names, two of the scripts enable CPU costing, two of them don t. The scripts that enable CPU costing use the following PL/SQL to mimic the normal arithmetic of a system that is not using CPU costing when the db_file_multilblock_read_count is set to eight blocks: begin dbms_stats.set_system_stats('MBRC',6.59); dbms_stats.set_system_stats('MREADTIM',10.001); dbms_stats.set_system_stats('SREADTIM',10.000); dbms_stats.set_system_stats('CPUSPEED',1000); end; / To draw some valid comparisons between traditional costing based on the sort_area_size and costings based on the pga_aggregate_target, I have assumed that the 5% rule is appropriate for example, aligning a 1MB sort_area_size with a 20MB pga_aggregate_target. The basic model that appeared in all the 10053 trace files was With CPU costing disabled: Total IO sort cost = (Blocks to sort + IO cost per pass * Merge passes) / 2 With CPU costing enabled: Total IO sort cost = (Blocks to sort + IO cost per pass * Merge passes) Since the Blocks to sort was a constant (588) throughout the tests, the total cost of the sort is easy to grasp if we can understand what s going on with the IO cost per pass. Table 13-4 reproduces some of the interesting results; the four figures in each column are IO cost per pass / Initial runs / Merge passes, and then the Total IO sort cost.
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Table 13-4. Comparing Costs in Different Environments
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784 / 131 / 5 =>2,254 784 / 56 / 4 => 1,862 756 / 27 / 2 => 1,050
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148 / 131/ 5 => 1,328 148 / 56 / 4 => 1,180 148 / 27 / 2 => 884
P_A_T Assuming 5% Limit No CPU Costing
n/a n/a n/a
P_A_T Assuming 5% Limit CPU Costing
n/a n/a n/a
CHAPTER 13 SORTING AND MERGE JOINS
Table 13-4. Comparing Costs in Different Environments
Target Sort Memory
320KB 384KB 448KB 512KB 640KB 1,024KB 1,536KB 2,048KB 3,072KB 4,096KB 6,976KB 10,240KB 15,360KB 20,480KB 30,720KB
S_A_S No CPU Costing
720 / 22 / 2 => 1,014 696 / 18 / 2 => 990 726 / 16 / 2 => 1,020 714 / 14 / 1 => 651 687 / 11 / 1 => 638 693 / 8 / 1 => 643 686 / 5 / 1 => 637 687 / 4 / 1 => 638 686 / 3 / 1 => 637 696 / 2 / 1 => 642 678 / 1 / 1 => 633 720 / 1 / 1 => 654 686 / 1 / 1 => 637 764 / 1 / 1 => 676 692 / 1 / 1 => 640
S_A_S CPU Costing
148 / 22 / 2 => 884 148 / 18 / 2 => 884 148 / 16 / 2 => 884 148 / 14 / 1 => 736 148 / 11/ 1 => 736 148 / 8 / 1 => 736 148 / 5 / 1 => 736 148 / 4 / 1 => 736 148 / 3 / 1 => 736 148 / 3 / 1 => 736 0 / 1 / 0 => 0 0 / 1 / 0 => 0 0 / 1 / 0 => 0 0 / 1 / 0 => 0 0 / 1 / 0 => 0
P_A_T Assuming 5% Limit No CPU Costing
n/a n/a n/a 882 / 10 / 4 => 2,058 882 / 8 / 3 => 1,617 735 / 5 / 2 => 1,029 756 / 4 / 1 => 672 706 / 3 / 1 => 647 699 / 2 / 1 => 644 696 / 2 / 1 => 642 700 / 2 / 1 => 644 687 / 2 / 1 => 638 686 / 2 / 1 => 637 683 / 2 / 1 => 636 700 / 2 / 1 => 644
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