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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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Package created ops$tkyte%ORA11GR2> begin 2 select object_id bulk collect into state_pkgg_data 3 from t_hashed 4 order by dbms_randomrandom; 5 end; 6 / PL/SQL procedure successfully completed To see the work performed by each, I used the following block of code (if you replace occurrences of the word HEAP with HASHED, you have the other block of code you need to test against): ops$tkyte%ORA11GR2> declare 2 l_rec t_heap%rowtype; 3 begin 4 for i in 1 . state_pkgg_datacount 5 loop 6 select * into l_rec from t_heap 7 where object_id = state_pkgg_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.

Function and method calls (a method call is similar to a function call but with an additional pointer referring to the object passed to the method) are performed by using a shared stack between the caller and the callee. An activation record is pushed onto the stack when the function is called, and memory is allocated for arguments, the return value, and local variables. Additional information is also stored in the activation record, such as information about exception handling and the return address when the execution of the function terminates. The physical structure of the activation record is established by the compiler (or by the JIT in the case of the CLR), and this knowledge must be shared between the caller and the called function. When the binary code is generated by a compiler, this is not an issue, but when code generated by different compilers must interact, it may become a significant issue. Although each compiler may adopt a different convention, the need to perform

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_pkgrs_stop(10000); Run1 ran in 344 cpu hsecs Run2 ran in 344 cpu hsecs run 1 ran in 10000% of the time Name STAT..Cached Commit SCN refer LATCHcache 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.