使用索引的误区之一:没有使用复合索引的前导列导致查询不使用索引

王朝other·作者佚名  2006-01-09
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使用索引的误区之一:没有使用复合索引的前导列导致查询不使用索引

在oracle中,我们经常以为建立了索引,sql查询的时候就会如我们所希望的那样使用索引,事实上,oracle只会在一定条件下使用索引,这里我们总结数第一点:oracle会在条件中包含了前导列时使用索引,即查询条件中必须使用索引中的第一个列,请看下面的例子

SQL> select * from tab;

TNAME TABTYPE CLUSTERID

------------------------------ ------- ----------

BONUS TABLE

DEPT TABLE

DUMMY TABLE

EMP TABLE

SALGRADE TABLE

建立一个联合索引(注意复合索引的索引列顺序)

SQL> create index emp_id1 on emp(empno,ename,deptno);

Index created

建立一个单键索引

SQL> create index emp_id2 on emp(sal);

Index created

SQL> select table_name,index_name from user_indexes

2 where table_name='EMP';

TABLE_NAME INDEX_NAME

------------------------------ ------------------------------

EMP EMP_ID1

EMP EMP_ID2

SQL> SELECT * FROM USER_IND_COLUMNS

2 /

INDEX_NAME TABLE_NAME COLUMN_NAME COLUMN_POSITION COLUMN_LENGTH CHAR_LENGTH DESCEND

------------------------------ ------------------------------ -------------------------------------------------------------------------------- --------------- ------------- ----------- -------

EMP_ID1 EMP EMPNO 1 22 0 ASC

EMP_ID1 EMP ENAME 2 10 10 ASC

EMP_ID1 EMP DEPTNO 3 22 0 ASC

EMP_ID2 EMP SAL 1 22 0 ASC

下面的查询由于没有使用到复合索引的前导列,所以没有使用索引

select job, empno from emp where ename='RICH';

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

--------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost |

--------------------------------------------------------------------

| 0 | SELECT STATEMENT | | | | |

|* 1 | TABLE ACCESS FULL | EMP | | | |

--------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

1 - filter("EMP"."ENAME"='RICH')

Note: rule based optimization

14 rows selected

下面的查询也由于没有使用到复合索引的前导列,所以没有使用索引

select job, empno from emp where deptno=30;

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

--------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost |

--------------------------------------------------------------------

| 0 | SELECT STATEMENT | | | | |

|* 1 | TABLE ACCESS FULL | EMP | | | |

--------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

1 - filter("EMP"."DEPTNO"=30)

Note: rule based optimization

14 rows selected

下面的查询使用了复合索引中的前导列,所以查询走索引了

select job, empno from emp where empno=7777;

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

---------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost |

---------------------------------------------------------------------------

| 0 | SELECT STATEMENT | | | | |

| 1 | TABLE ACCESS BY INDEX ROWID| EMP | | | |

|* 2 | INDEX RANGE SCAN | EMP_ID1 | | | |

---------------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

2 - access("EMP"."EMPNO"=7777)

Note: rule based optimization

15 rows selected

下面的查询使用了复合索引中的第一列和第二列,所以查询走索引了

select job, empno from emp where empno=7777 and ename='RICH';

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

---------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost |

---------------------------------------------------------------------------

| 0 | SELECT STATEMENT | | | | |

| 1 | TABLE ACCESS BY INDEX ROWID| EMP | | | |

|* 2 | INDEX RANGE SCAN | EMP_ID1 | | | |

---------------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

2 - access("EMP"."EMPNO"=7777 AND "EMP"."ENAME"='RICH')

Note: rule based optimization

15 rows selected

使用了复合索引的全部列,所以走索引了,另外由于选了了索引中没有包含的列(job),

所以进行索引全表扫描得到满足条件的rowid后,还要到表中检索相应的行

select job, empno from emp where empno=7777 and ename='RICH' and deptno=30;

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

---------------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost |

---------------------------------------------------------------------------

| 0 | SELECT STATEMENT | | | | |

| 1 | TABLE ACCESS BY INDEX ROWID| EMP | | | |

|* 2 | INDEX RANGE SCAN | EMP_ID1 | | | |

---------------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

2 - access("EMP"."EMPNO"=7777 AND "EMP"."ENAME"='RICH' AND "EMP"."DEP

TNO"=30)

Note: rule based optimization

16 rows selected

使用了复合索引的全部列,所以走索引了,而且由于所有选择的列都包含在索引中,所以仅仅进行了索引范围扫描

select empno from emp where empno=7777 and ename='RICH' and deptno=30;

PLAN_TABLE_OUTPUT

--------------------------------------------------------------------------------

--------------------------------------------------------------------

| Id | Operation | Name | Rows | Bytes | Cost |

--------------------------------------------------------------------

| 0 | SELECT STATEMENT | | | | |

|* 1 | INDEX RANGE SCAN | EMP_ID1 | | | |

--------------------------------------------------------------------

Predicate Information (identified by operation id):

---------------------------------------------------

1 - access("EMP"."EMPNO"=7777 AND "EMP"."ENAME"='RICH' AND "EM

P"."DEPTNO"=30)

Note: rule based optimization

15 rows selected

 
 
 
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