where条件顺序不同、性能不同示例探讨

昨天在书上看到SQL语句优化时,where条件顺序不同,性能不同,这个建议在Oracle11G版本还合适吗?方式1优于方式2?
方式1:

复制代码 代码如下:

select a.*
from students s,
class c
where
s.id = c.id
s.id = ‘xxxxxxxx’


方式2:

复制代码 代码如下:

select a.*
from students s,
class c
where
s.id = ‘xxxxxxxx’
s.id = c.id


10g中测试结果证明是一样的。

Microsoft Windows [版本 5.2.3790]
(C) 版权所有 1985-2003 Microsoft Corp.
C:/Documents and Settings/Administrator>sqlplus / as sysdba
SQL*Plus: Release 10.2.0.1.0 – Production on 星期六 5月 11 17:48:55 2013
Copyright (c) 1982, 2005, Oracle. All rights reserved.

连接到:
Oracle Database 10g Enterprise Edition Release 10.2.0.1.0 – Production
With the Partitioning, OLAP and Data Mining options
SQL> alter system flush shared_pool;
系统已更改。
SQL> alter system flush buffer_cache;
系统已更改。
SQL> set autotrace on;
SQL> select *
2 from COUNTRIES c,
3 REGIONS r
4 where c.REGION_ID=r.REGION_ID and c.REGION_ID=’4′;
REGIONS r
*
第 3 行出现错误:
ORA-00942: 表或视图不存在

SQL> select *
2 from hr.COUNTRIES c,
3 hr. REGIONS r
4 where c.REGION_ID=r.REGION_ID and c.REGION_ID=’4′;
CO COUNTRY_NAME REGION_ID REGION_ID
— —————————————- ———- ———-
REGION_NAME
————————-
EG Egypt 4 4
Middle East and Africa
IL Israel 4 4
Middle East and Africa
KW Kuwait 4 4
Middle East and Africa

CO COUNTRY_NAME REGION_ID REGION_ID
— —————————————- ———- ———-
REGION_NAME
————————-
NG Nigeria 4 4
Middle East and Africa
ZM Zambia 4 4
Middle East and Africa
ZW Zimbabwe 4 4
Middle East and Africa

已选择6行。

执行计划
———————————————————-
Plan hash value: 4030513296
——————————————————————————–
—————-
| Id | Operation | Name | Rows | Bytes | Cost (%
CPU)| Time |
——————————————————————————–
—————-
| 0 | SELECT STATEMENT | | 6 | 168 | 2
(0)| 00:00:01 |
| 1 | NESTED LOOPS | | 6 | 168 | 2
(0)| 00:00:01 |
| 2 | TABLE ACCESS BY INDEX ROWID| REGIONS | 1 | 14 | 1
(0)| 00:00:01 |
|* 3 | INDEX UNIQUE SCAN | REG_ID_PK | 1 | | 0
(0)| 00:00:01 |
|* 4 | INDEX FULL SCAN | COUNTRY_C_ID_PK | 6 | 84 | 1
(0)| 00:00:01 |
——————————————————————————–
—————-

Predicate Information (identified by operation id):
—————————————————
3 – access(“R”.”REGION_ID”=4)
4 – filter(“C”.”REGION_ID”=4)

统计信息
———————————————————-
628 recursive calls
0 db block gets
127 consistent gets
20 physical reads
0 redo size
825 bytes sent via SQL*Net to client
385 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
13 sorts (memory)
0 sorts (disk)
6 rows processed
SQL>

#############

SQL> alter system flush shared_pool;
系统已更改。
SQL> alter system flush buffer_cache;
系统已更改。
select *
from hr.COUNTRIES c,
hr. REGIONS r
where
c.REGION_ID=’4′
6 and c.REGION_ID=r.REGION_ID;
CO COUNTRY_NAME REGION_ID REGION_ID
— —————————————- ———- ———-
REGION_NAME
————————-
EG Egypt 4 4
Middle East and Africa
IL Israel 4 4
Middle East and Africa
KW Kuwait 4 4
Middle East and Africa

CO COUNTRY_NAME REGION_ID REGION_ID
— —————————————- ———- ———-
REGION_NAME
————————-
NG Nigeria 4 4
Middle East and Africa
ZM Zambia 4 4
Middle East and Africa
ZW Zimbabwe 4 4
Middle East and Africa

已选择6行。

执行计划
———————————————————-
Plan hash value: 4030513296
——————————————————————————–
—————-
| Id | Operation | Name | Rows | Bytes | Cost (%
CPU)| Time |
——————————————————————————–
—————-
| 0 | SELECT STATEMENT | | 6 | 168 | 2
(0)| 00:00:01 |
| 1 | NESTED LOOPS | | 6 | 168 | 2
(0)| 00:00:01 |
| 2 | TABLE ACCESS BY INDEX ROWID| REGIONS | 1 | 14 | 1
(0)| 00:00:01 |
|* 3 | INDEX UNIQUE SCAN | REG_ID_PK | 1 | | 0
(0)| 00:00:01 |
|* 4 | INDEX FULL SCAN | COUNTRY_C_ID_PK | 6 | 84 | 1
(0)| 00:00:01 |
——————————————————————————–
—————-

Predicate Information (identified by operation id):
—————————————————
3 – access(“R”.”REGION_ID”=4)
4 – filter(“C”.”REGION_ID”=4)

统计信息
———————————————————-
656 recursive calls
0 db block gets
131 consistent gets
22 physical reads
0 redo size
825 bytes sent via SQL*Net to client
385 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
13 sorts (memory)
0 sorts (disk)
6 rows processed
SQL>

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