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
延伸阅读
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