Apress.Expert.Oracle.Database.Architecture.9i.and.10g.Programming.Techniques.and.Solutions.Sep.2005

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CHAPTER 10 ■ DATABASE TABLES 381 To see the difference a hash cluster can make, I set up a small test. I created a hash cluster, loaded some data in it, copied this data to a “regular” table with a conventional index on it, and then did random reads on each table (the same “random” reads on each). Using runstats, SQL_TRACE, and TKPROF, I was able to determine the characteristics of each. The following is the setup I performed, followed by the analysis: ops$tkyte@ORA10GR1> create cluster hash_cluster 2 ( hash_key number ) 3 hashkeys 75000 4 size 150 5 / Cluster created. ops$tkyte@ORA10GR1> create table t_hashed 2 cluster hash_cluster(object_id) 3 as 4 select * 5 from all_objects 6 / Table created. ops$tkyte@ORA10GR1> alter table t_hashed add constraint 2 t_hashed_pk primary key(object_id) 2 / Table altered. ops$tkyte@ORA10GR1> begin 2 dbms_stats.gather_table_stats( user, 'T_HASHED', cascade=>true ); 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. 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$tkyte@ORA10GR1> create table t_heap 2 as 3 select * 4 from t_hashed 5 / Table created. ops$tkyte@ORA10GR1> alter table t_heap add constraint 2 t_heap_pk primary key(object_id) 3 / Table altered.
382 CHAPTER 10 ■ DATABASE TABLES ops$tkyte@ORA10GR1> begin 2 dbms_stats.gather_table_stats( user, 'T_HEAP', cascade=>true ); 3 end; 4 / PL/SQL procedure successfully completed. Now, all I needed was some “random” data to pick rows from each of the tables with. To achieve that, I simply selected all of the OBJECT_IDs into an array and had them sorted randomly, to hit the table all over in a scattered fashion. I used a PL/SQL package to define and declare the array and a bit of PL/SQL code to “prime” the array, to fill it up: ops$tkyte@ORA10GR1> 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 / Package created. ops$tkyte@ORA10GR1> begin 2 select object_id bulk collect into state_pkg.g_data 3 from t_hashed 4 order by dbms_random.random; 5 end; 6 / PL/SQL procedure successfully completed. To see the work performed by each, I used the following block of code (if you replace occurrences of the word HASHED with HEAP, you have the other block of code you need to test against): ops$tkyte@ORA10GR1> declare 2 l_rec t_hashed%rowtype; 3 begin 4 for i in 1 .. state_pkg.g_data.count 5 loop 6 select * into l_rec from t_hashed 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 HASHED is replaced with HEAP 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:
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Expert Oracle Database Architecture
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Contents Foreword . . . . . . . . .
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■CONTENTS v Block Buffer Cache .
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■CONTENTS vii ■CHAPTER 9 Redo a
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■CONTENTS ix ■CHAPTER 12 Dataty
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Foreword “THINK.” In 1914, Thom
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■FOREWORD xiii Tom is an aficiona
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About the Technical Reviewers ■JO
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Introduction The inspiration for th
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■INTRODUCTION xix • Exposure to
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■INTRODUCTION xxi Chapter 3: File
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■INTRODUCTION xxiii Next up are t
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Setting Up Your Environment In this
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CHAPTER 1 ■ DEVELOPING SUCCESSFUL
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CHAPTER 3 ■ FILES 89 A Brief Revi
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CHAPTER 13 ■ ■ ■ Partitioning
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