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CHAPTER 10 DATABASE TABLES
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3 as 4 select * 5 from all_objects 6 / Table created. ops$tkyte%ORA11GR2> alter table t_hashed add constraint 2 t_hashed_pk primary key(object_id) 3 / Table altered. ops$tkyte%ORA11GR2> begin 2 dbms_stats.gather_table_stats( user, 'T_HASHED' ); 3 end; 4 / PL/SQL procedure successfully completed. I created the hash cluster with a SIZE of 150 bytes. This is because I determined the average row size for a row in my table would be about 100 bytes, but would vary up and down based on the data with many rows coming in at around 150 bytes. I then created and populated a table in that cluster as a copy of ALL_OBJECTS. Next, I created the conventional clone of the table: ops$tkyte%ORA11GR2> create table t_heap 2 as 3 select * 4 from t_hashed 5 / Table created. ops$tkyte%ORA11GR2> alter table t_heap add constraint 2 t_heap_pk primary key(object_id) 3 / Table altered. ops$tkyte%ORA11GR2> begin 2 dbms_stats.gather_table_stats( user, 'T_HEAP' ); 3 end; 4 / PL/SQL procedure successfully completed. Now, all I needed was some random data to pick rows from each of the tables with. To achieve that, I simply selected all of the OBJECT_IDs into an array and had them sorted randomly, to hit the table all over in a scattered fashion. I used a PL/SQL package to define and declare the array and a bit of PL/SQL code to prime the array, to fill it up: ops$tkyte%ORA11GR2> create or replace package state_pkg 2 as 3 type array is table of t_hashed.object_id%type; 4 g_data array; 5 end; 6 /
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CHAPTER 10 DATABASE TABLES
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Package created. ops$tkyte%ORA11GR2> begin 2 select object_id bulk collect into state_pkg.g_data 3 from t_hashed 4 order by dbms_random.random; 5 end; 6 / PL/SQL procedure successfully completed. To see the work performed by each, I used the following block of code (if you replace occurrences of the word HEAP with HASHED, you have the other block of code you need to test against): ops$tkyte%ORA11GR2> declare 2 l_rec t_heap%rowtype; 3 begin 4 for i in 1 .. state_pkg.g_data.count 5 loop 6 select * into l_rec from t_heap 7 where object_id = state_pkg.g_data(i); 8 end loop; 9 end; 10 / PL/SQL procedure successfully completed. Next, I ran the preceding block of code three times (and the copy of that block of code where HEAP is replaced with HASHED as well). The first run was to warm up the system, to get any hard parses out of the way. The second time I ran the blocks of code, I used runstats to see the material differences between the two: running first the hashed implementation and then the heap. The third time I ran the blocks of code, I did so with SQL_TRACE enabled so I could see a TKPROF report. The runstats run reported the following: ops$tkyte@ORA11GR2> exec runstats_pkg.rs_stop(10000); Run1 ran in 344 cpu hsecs Run2 ran in 344 cpu hsecs run 1 ran in 100.00% of the time Name STAT...Cached Commit SCN refer LATCH.cache buffers chains STAT...rows fetched via callba STAT...cluster key scan block STAT...table fetch by rowid STAT...no work - consistent re STAT...index fetch by key STAT...cluster key scans STAT...consistent gets from ca STAT...buffer is not pinned co STAT...consistent gets STAT...consistent gets from ca STAT...session logical reads STAT...consistent gets - exami Run1 31,638 144,396 0 72,081 0 72,081 0 72,081 72,090 72,081 72,098 72,098 72,129 8 Run2 0 216,415 72,081 0 72,081 0 72,081 0 9 216,243 216,260 216,260 216,293 216,251 Diff -31,638 72,019 72,081 -72,081 72,081 -72,081 72,081 -72,081 -72,081 144,162 144,162 144,162 144,164 216,243
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Run1 latches total versus runs -- difference and pct Run1 Run2 Diff Pct 149,837 223,287 73,450 67.11%
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CHAPTER 10 DATABASE TABLES
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Now, these two simulations ran in about the same amount of time by the CPU clock. The material difference to note, however, is the large reduction in cache buffers chains latches. The first implementation (hashed) used significantly fewer, meaning the hashed implementation should scale better in a read-intensive environment, since it needs fewer resources that require some level of serialization. This was due entirely to the fact that the I/O needed by the hashed implementation was significantly reduced over the HEAP table you can see the statistic consistent gets in that report bears this out. The TKPROF shows it even more clearly: SELECT * FROM T_HASHED WHERE OBJECT_ID = :B1 call count ------- -----Parse 1 Execute 72081 Fetch 72081 ------- -----total 144163 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.00 0.00 0 0 0 10.20 10.36 0 2 0 1.73 1.69 0 72081 0 -------- ---------- ---------- ---------- ---------11.94 12.06 0 72083 0 rows ---------0 0 72081 ---------72081
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Rows Row Source Operation ------- --------------------------------------------------1 TABLE ACCESS HASH T_HASHED (cr=1 pr=0 pw=0 time=0 us) ******************************************************************************** SELECT * FROM T_HEAP WHERE OBJECT_ID = :B1 call count ------- -----Parse 1 Execute 72080 Fetch 72080 ------- -----total 144161 Rows ------1 1 cpu elapsed disk query current -------- ---------- ---------- ---------- ---------0.00 0.00 0 0 0 10.55 10.84 0 0 0 1.80 1.85 0 216240 0 -------- ---------- ---------- ---------- ---------12.36 12.70 0 216240 0 rows ---------0 0 72080 ---------72080
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Row Source Operation --------------------------------------------------TABLE ACCESS BY INDEX ROWID T_HEAP (cr=3 pr=0 pw=0 time=0 us cost=2 si ) INDEX UNIQUE SCAN T_HEAP_PK (cr=2 pr=0 pw=0 time=0 us cost=1 size=0 )
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The HASHED implementation simply converted the OBJECT_ID passed into the query into a FILE/BLOCK to be read and read it no index. The HEAP table, however, had to do two I/Os on the index for each row. The cr=2 in the TKPROF Row Source Operation line shows us exactly how many consistent reads were done against the index. Each time I looked up OBJECT_ID = :B1, Oracle had to get the root block of the index and then find the leaf block containing the location of that row. Then, I had to take the leaf block information, which included the ROWID of that row, and access that row in the table for a third I/O. The HEAP table did three times the I/O of the HASHED implementation. The points of interest here are as follows: The hash cluster did significantly less I/O (query column). This is what we anticipated. The query simply took the random OBJECT_IDs, performed the hash on them, and went to the block. The hash cluster has to do at least one I/O to get the data. The conventional table with an index had to perform index scans followed by a table access by rowid to get the same answer. The indexed table has to do at least three I/Os in this case to get the data.
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