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

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CHAPTER 11 ■ INDEXES 451 9 1, 'M', 10 2, 'F' ) gender, 11 ceil(dbms_random.value(1,50)) location, 12 decode( ceil(dbms_random.value(1,5)), 13 1,'18 and under', 14 2,'19-25', 15 3,'26-30', 16 4,'31-40', 17 5,'41 and over'), 18 rpad( '*', 20, '*') 19 from big_table.big_table 20 where rownum create bitmap index gender_idx on t(gender); Index created. ops$tkyte@ORA10G> create bitmap index location_idx on t(location); Index created. ops$tkyte@ORA10G> create bitmap index age_group_idx on t(age_group); Index created. ops$tkyte@ORA10G> exec dbms_stats.gather_table_stats( user, 'T', cascade=>true ); PL/SQL procedure successfully completed. Now we’ll take a look at the plans for our various ad hoc queries from earlier: ops$tkyte@ORA10G> Select count(*) 2 from T 3 where gender = 'M' 4 and location in ( 1, 10, 30 ) 5 and age_group = '41 and over'; Execution Plan ---------------------------------------------------------- 0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=5 Card=1 Bytes=13) 1 0 SORT (AGGREGATE) 2 1 BITMAP CONVERSION (COUNT) (Cost=5 Card=1 Bytes=13) 3 2 BITMAP AND 4 3 BITMAP INDEX (SINGLE VALUE) OF 'GENDER_IDX' (INDEX (BITMAP)) 5 3 BITMAP OR 6 5 BITMAP INDEX (SINGLE VALUE) OF 'LOCATION_IDX' (INDEX (BITMAP)) 7 5 BITMAP INDEX (SINGLE VALUE) OF 'LOCATION_IDX' (INDEX (BITMAP)) 8 5 BITMAP INDEX (SINGLE VALUE) OF 'LOCATION_IDX' (INDEX (BITMAP)) 9 3 BITMAP INDEX (SINGLE VALUE) OF 'AGE_GROUP_IDX' (INDEX (BITMAP))
452 CHAPTER 11 ■ INDEXES This example shows the power of the bitmap indexes. Oracle is able to see the location in (1,10,30) and knows to read the index on location for these three values and logically OR together the “bits” in the bitmap. It then takes that resulting bitmap and logically ANDs that with the bitmaps for AGE_GROUP='41 AND OVER' and GENDER='M'. Then a simple count of 1s and the answer is ready. ops$tkyte@ORA10G> select * 2 from t 3 where ( ( gender = 'M' and location = 20 ) 4 or ( gender = 'F' and location = 22 )) 5 and age_group = '18 and under'; Execution Plan ---------------------------------------------------------- 0 SELECT STATEMENT Optimizer=ALL_ROWS (Cost=77 Card=507 Bytes=16731) 1 0 TABLE ACCESS (BY INDEX ROWID) OF 'T' (TABLE) (Cost=77 Card=507 ... 2 1 BITMAP CONVERSION (TO ROWIDS) 3 2 BITMAP AND 4 3 BITMAP INDEX (SINGLE VALUE) OF 'AGE_GROUP_IDX' (INDEX (BITMAP)) 5 3 BITMAP OR 6 5 BITMAP AND 7 6 BITMAP INDEX (SINGLE VALUE) OF 'LOCATION_IDX' (INDEX (BITMAP)) 8 6 BITMAP INDEX (SINGLE VALUE) OF 'GENDER_IDX' (INDEX (BITMAP)) 9 5 BITMAP AND 10 9 BITMAP INDEX (SINGLE VALUE) OF 'GENDER_IDX' (INDEX (BITMAP)) 11 9 BITMAP INDEX (SINGLE VALUE) OF 'LOCATION_IDX' (INDEX (BITMAP)) This shows similar logic: the plan shows the OR’d conditions are each evaluated by AND-ing together the appropriate bitmaps and then OR-ing together those results. Throw in another AND to satisfy the AGE_GROUP='18 AND UNDER' and we have it all. Since we asked for the actual rows this time, Oracle will convert each bitmap 1 and 0 into rowids to retrieve the source data. In a data warehouse or a large reporting system supporting many ad hoc SQL queries, this ability to use as many indexes as make sense simultaneously comes in very handy indeed. Using conventional B*Tree indexes here would not be nearly as usual or usable, and as the number of columns that are to be searched by the ad hoc queries increases, the number of combinations of B*Tree indexes you would need increases as well. However, there are times when bitmaps are not appropriate. They work well in a readintensive environment, but they are extremely ill suited for a write-intensive environment. The reason is that a single bitmap index key entry points to many rows. If a session modifies the indexed data, then all of the rows that index entry points to are effectively locked in most cases. Oracle cannot lock an individual bit in a bitmap index entry; it locks the entire bitmap index entry. Any other modifications that need to update that same bitmap index entry will be locked out. This will seriously inhibit concurrency, as each update will appear to lock potentially hundreds of rows preventing their bitmap columns from being concurrently updated. It will not lock every row as you might think—just many of them. Bitmaps are stored in chunks, so using the earlier EMP example we might find that the index key ANALYST appears in the index many times, each time pointing to hundreds of rows. An update to a row that modifies the JOB
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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 4 ■ MEMORY STRUCTURES 117
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284 CHAPTER 9 ■ REDO AND UNDO cri
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338 CHAPTER 10 ■ DATABASE TABLES
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CHAPTER 13 ■ ■ ■ Partitioning
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