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

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■SETTING UP YOUR ENVIRONMENT xxxv 96 97 end; 98 / Package body created. And now we 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 or row-by-row processing. We’ll start by setting up two tables into which to insert 1,000,000 rows: ops$tkyte@ORA10GR1> create table t1 2 as 3 select * from big_table.big_table 4 where 1=0; Table created. ops$tkyte@ORA10GR1> create table t2 2 as 3 select * from big_table.big_table 4 where 1=0; Table created. Next, we perform the first method of inserting the records: using a single SQL statement. We start by calling RUNSTATS_PKG.RS_START: ops$tkyte@ORA10GR1> exec runstats_pkg.rs_start; PL/SQL procedure successfully completed. ops$tkyte@ORA10GR1> insert into t1 select * from big_table.big_table; 1000000 rows created. ops$tkyte@ORA10GR1> commit; Commit complete. Now we are ready to perform the second method, which is row-by-row insertion of data: ops$tkyte@ORA10GR1> exec runstats_pkg.rs_middle; PL/SQL procedure successfully completed. ops$tkyte@ORA10GR1> begin 2 for x in ( select * from big_table.big_table ) 3 loop 4 insert into t2 values X; 5 end loop; 6 commit; 7 end; 8 / PL/SQL procedure successfully completed.
xxxvi ■SETTING UP YOUR ENVIRONMENT and finally, we generate the report: ops$tkyte@ORA10GR1> exec runstats_pkg.rs_stop(1000000) Run1 ran in 5810 hsecs Run2 ran in 14712 hsecs run 1 ran in 39.49% of the time Name Run1 Run2 Diff STAT...recursive calls 8,089 1,015,451 1,007,362 STAT...db block changes 109,355 2,085,099 1,975,744 LATCH.library cache 9,914 2,006,563 1,996,649 LATCH.library cache pin 5,609 2,003,762 1,998,153 LATCH.cache buffers chains 575,819 5,565,489 4,989,670 STAT...undo change vector size 3,884,940 67,978,932 64,093,992 STAT...redo size 118,854,004 378,741,168 259,887,164 Run1 latches total versus runs -- difference and pct Run1 Run2 Diff Pct 825,530 11,018,773 10,193,243 7.49% PL/SQL procedure successfully completed. 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 simply 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 for us: 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
Page 2 and 3: Expert Oracle Database Architecture
Page 4 and 5: Contents Foreword . . . . . . . . .
Page 6 and 7: ■CONTENTS v Block Buffer Cache .
Page 8 and 9: ■CONTENTS vii ■CHAPTER 9 Redo a
Page 10 and 11: ■CONTENTS ix ■CHAPTER 12 Dataty
Page 12 and 13: Foreword “THINK.” In 1914, Thom
Page 14 and 15: ■FOREWORD xiii Tom is an aficiona
Page 16 and 17: About the Technical Reviewers ■JO
Page 18 and 19: Introduction The inspiration for th
Page 20 and 21: ■INTRODUCTION xix • Exposure to
Page 22 and 23: ■INTRODUCTION xxi Chapter 3: File
Page 24 and 25: ■INTRODUCTION xxiii Next up are t
Page 26 and 27: Setting Up Your Environment In this
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CHAPTER 3 ■ FILES 69 and even dat
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CHAPTER 3 ■ FILES 71 all operatio
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CHAPTER 3 ■ FILES 73 *.cluster_da
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CHAPTER 3 ■ FILES 89 A Brief Revi
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338 CHAPTER 10 ■ DATABASE TABLES
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CHAPTER 11 ■ INDEXES 431 The data
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CHAPTER 11 ■ INDEXES 445 Indicate
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CHAPTER 11 ■ INDEXES 447 an index
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CHAPTER 13 ■ ■ ■ Partitioning
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CHAPTER 13 ■ PARTITIONING 563 BIG
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