转贴 一个SQL性能优化分享---利用with as 优化SQL
马上就要单身节了，正在想今年我去祸害谁家的姑娘，突然QQ好友发来信息，说能否帮忙优化一个SQL，SQL调优做得实在太多了，都已经麻木了，反正优化一个SQL也就几秒钟到几分钟的事情。
哥们说下面的SQL要跑5个多小时
SELECT
B.AREA_ID,
A.PARTY_ID,
B.AREA_NAME,
C.NAME CHANNEL_NAME,
B.NAME PARTY_NAME,
B.ACCESS_NUMBER,
B.PROD_SPEC,
B.START_DT,
A.BO_ACTION_NAME,
A.SO_STAFF_ID,
A.ATOM_ACTION_ID,
A.PROD_ID
FROM DW_CHANNEL C,
DW_CRM_DAY_USER B,
DW_BO_ORDER A
WHERE A.PROD_ID = B.PROD_ID AND
A.CHANNEL_ID = C.CHANNEL_ID AND
A.SO_STAFF_ID LIKE '36%' AND
A.BO_ACTION_NAME IN ('新装','移机','资费变更') AND
B.PROD_SPEC IN ('普通电话', 'ADSL','LAN', '手机',
'E8 - 2S','E6移动版', 'E9版1M(老版)',
'普通E9','普通新版E8',
'全省_紧密融合型E9套餐产品规格',
'(新) 全省_紧密融合型E9套餐产品规格',
'新春欢乐送之E8套餐',
'新春欢乐送之E6套餐') AND
NOT EXISTS (SELECT *
FROM DW_BO_ORDER D
WHERE D.STAFF_ID LIKE '36%' AND
A.PARTY_ID = D.PARTY_ID AND
A.BO_ID != D.BO_ID AND
A.PROD_ID != D.PROD_ID AND
A.BO_ACTION_NAME IN
('新装', '移机','资费变更') AND
A.COMPLETE_DT - INTERVAL '7' DAY < D.COMPLETE_DT);
下面是执行计划以及表信息
SQL> select count(*) from dw_bo_order;
COUNT(*)
----------
2282548
SQL> select count(*) from dw_crm_day_user;
COUNT(*)
----------
420918
SQL> select count(*) from dw_channel;
COUNT(*)
----------
48031
Plan hash value: 2142862569
----------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
----------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 905 | 121K| 4152K (2)| 13:50:32 | | |
|* 1 | FILTER | | | | | | | |
|* 2 | HASH JOIN | | 905 | 121K| 12616 (2)| 00:02:32 | | |
|* 3 | HASH JOIN | | 905 | 99550 | 12448 (2)| 00:02:30 | | |
| 4 | PARTITION RANGE ALL| | 1979 | 108K| 9168 (2)| 00:01:51 | 1 | 5 |
|* 5 | TABLE ACCESS FULL | DW_BO_ORDER | 1979 | 108K| 9168 (2)| 00:01:51 | 1 | 5 |
|* 6 | TABLE ACCESS FULL | DW_CRM_DAY_USER | 309K| 15M| 3277 (2)| 00:00:40 | | |
| 7 | TABLE ACCESS FULL | DW_CHANNEL | 48425 | 1276K| 168 (1)| 00:00:03 | | |
|* 8 | FILTER | | | | | | | |
| 9 | PARTITION RANGE ALL | | 1 | 29 | 9147 (2)| 00:01:50 | 1 | 5 |
|* 10 | TABLE ACCESS FULL | DW_BO_ORDER | 1 | 29 | 9147 (2)| 00:01:50 | 1 | 5 |
----------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter( NOT EXISTS (SELECT /*+ */ 0 FROM "DW_BO_ORDER" "D" WHERE (:B1='新装' OR :B2='移机' OR
:B3='资费变更') AND "D"."PARTY_ID"=:B4 AND TO_CHAR("D"."STAFF_ID") LIKE '36%' AND
"D"."COMPLETE_DT">:B5-INTERVAL'+07 00:00:00' DAY(2) TO SECOND(0) AND "D"."PROD_ID"<>:B6 AND
"D"."BO_ID"<>:B7))
2 - access("A"."CHANNEL_ID"="C"."CHANNEL_ID")
3 - access("A"."PROD_ID"="B"."PROD_ID")
5 - filter("A"."PROD_ID" IS NOT NULL AND ("A"."BO_ACTION_NAME"='新装' OR
"A"."BO_ACTION_NAME"='移机' OR "A"."BO_ACTION_NAME"='资费变更') AND TO_CHAR("A"."SO_STAFF_ID") LIKE
'36%')
6 - filter("B"."PROD_SPEC"='(新) 全省_紧密融合型E9套餐产品规格' OR "B"."PROD_SPEC"='ADSL' OR
"B"."PROD_SPEC"='E6移动版' OR "B"."PROD_SPEC"='E8 - 2S' OR "B"."PROD_SPEC"='E9版1M(老版)' OR
"B"."PROD_SPEC"='LAN' OR "B"."PROD_SPEC"='普通E9' OR "B"."PROD_SPEC"='普通电话' OR
"B"."PROD_SPEC"='普通新版E8' OR "B"."PROD_SPEC"='全省_紧密融合型E9套餐产品规格' OR "B"."PROD_SPEC"='手机' OR
"B"."PROD_SPEC"='新春欢乐送之E6套餐' OR "B"."PROD_SPEC"='新春欢乐送之E8套餐')
8 - filter(:B1='新装' OR :B2='移机' OR :B3='资费变更')
10 - filter("D"."PARTY_ID"=:B1 AND TO_CHAR("D"."STAFF_ID") LIKE '36%' AND
"D"."COMPLETE_DT">:B2-INTERVAL'+07 00:00:00' DAY(2) TO SECOND(0) AND "D"."PROD_ID"<>:B3 AND
"D"."BO_ID"<>:B4)
有经验的人一看，一眼就知道这个SQL性能问题出在这里
NOT EXISTS (SELECT *
FROM DW_BO_ORDER D
WHERE D.STAFF_ID LIKE '36%' AND
A.PARTY_ID = D.PARTY_ID AND
A.BO_ID != D.BO_ID AND
A.PROD_ID != D.PROD_ID AND
A.BO_ACTION_NAME IN
('新装', '移机','资费变更') AND
A.COMPLETE_DT - INTERVAL '7' DAY < D.COMPLETE_DT);
你一定要注意看，前面的NOT EXISTS 里面套了 2个
!= 尼玛，坑爹啊，神马业务逻辑啊，这个SQL太坑爹了，由于有!=的存在，CBO不能选择 HASH_AJ
join的方式，只能走FILTER，哈哈，走FILTER绝对搞死人，不是吗？因为它要反复扫描 DW_BO_ORDER
非常多次，那么我建议那哥们把SQL改了，把里面的!=拆分，不过可惜的是，不管他怎么拆分，SQL业务逻辑总是不对，尼玛谁叫我们写SQL水平菜呢(自
我批评一下)
于是建议他用下面的方法改写SQL
with D as (select /*+ materialize */ PARTY_ID,BO_ID,PROD_ID from DW_BO_ORDER where STAFF_ID LIKE '36%')
SELECT
B.AREA_ID,
A.PARTY_ID,
B.AREA_NAME,
C.NAME CHANNEL_NAME,
B.NAME PARTY_NAME,
B.ACCESS_NUMBER,
B.PROD_SPEC,
B.START_DT,
A.BO_ACTION_NAME,
A.SO_STAFF_ID,
A.ATOM_ACTION_ID,
A.PROD_ID
FROM DW_CHANNEL C,
DW_CRM_DAY_USER B,
DW_BO_ORDER A
WHERE A.PROD_ID = B.PROD_ID AND
A.CHANNEL_ID = C.CHANNEL_ID AND
A.SO_STAFF_ID LIKE '36%' AND
A.BO_ACTION_NAME IN ('新装','移机','资费变更') AND
B.PROD_SPEC IN ('普通电话', 'ADSL','LAN', '手机',
'E8 - 2S','E6移动版', 'E9版1M(老版)',
'普通E9','普通新版E8',
'全省_紧密融合型E9套餐产品规格',
'(新) 全省_紧密融合型E9套餐产品规格',
'新春欢乐送之E8套餐',
'新春欢乐送之E6套餐') AND
NOT EXISTS (SELECT *
FROM D
WHERE D.STAFF_ID LIKE '36%' AND
A.PARTY_ID = D.PARTY_ID AND
A.BO_ID != D.BO_ID AND
A.PROD_ID != D.PROD_ID AND
A.BO_ACTION_NAME IN
('新装', '移机','资费变更') AND
A.COMPLETE_DT - INTERVAL '7' DAY < D.COMPLETE_DT);
执行计划和SQL执行时间如下：
SQL> set timi on
SQL> WITH D AS
2 (SELECT /*+ materialize */
3 PARTY_ID,
4 BO_ID,
5 PROD_ID,
6 COMPLETE_DT
7 FROM DW_BO_ORDER
8 WHERE STAFF_ID LIKE '36%' AND
9 BO_ACTION_NAME IN ('新装',
10 '移机',
11 '资费变更'))
12 SELECT
13 B.AREA_ID,
14 A.PARTY_ID,
15 B.AREA_NAME,
16 C.NAME CHANNEL_NAME,
17 B.NAME PARTY_NAME,
18 B.ACCESS_NUMBER,
19 B.PROD_SPEC,
20 B.START_DT,
21 A.BO_ACTION_NAME,
22 A.SO_STAFF_ID,
23 A.ATOM_ACTION_ID,
24 A.PROD_ID
25 FROM DW_CHANNEL C,
26 DW_CRM_DAY_USER B,
27 DW_BO_ORDER A
28 WHERE A.PROD_ID = B.PROD_ID AND
29 A.CHANNEL_ID = C.CHANNEL_ID AND
30 A.SO_STAFF_ID LIKE '36%' AND
31 A.BO_ACTION_NAME IN ('新装','移机','资费变更') AND
32 B.PROD_SPEC IN ('普通电话', 'ADSL','LAN', '手机',
33 'E8 - 2S','E6移动版', 'E9版1M(老版)',
34 '普通E9','普通新版E8',
35 '全省_紧密融合型E9套餐产品规格',
36 '(新) 全省_紧密融合型E9套餐产品规格',
37 '新春欢乐送之E8套餐',
38 '新春欢乐送之E6套餐') AND
39 NOT EXISTS (SELECT *
40 FROM D
41 WHERE A.PARTY_ID = D.PARTY_ID AND
42 A.BO_ID != D.BO_ID AND
43 A.PROD_ID != D.PROD_ID AND
44 A.COMPLETE_DT - INTERVAL '7' DAY < D.COMPLETE_DT);
已选择49245行。
已用时间: 00: 00: 12.37
执行计划
--------------------------------------------------------------------------------------------------------------------------
Plan hash value: 2591883460
--------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
--------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 905 | 121K| 62428 (2)| 00:12:30 | | |
| 1 | TEMP TABLE TRANSFORMATION | | | | | | | |
| 2 | LOAD AS SELECT | DW_BO_ORDER | | | | | | |
| 3 | PARTITION RANGE ALL | | 114K| 3228K| 9127 (2)| 00:01:50 | 1 | 5 |
|* 4 | TABLE ACCESS FULL | DW_BO_ORDER | 114K| 3228K| 9127 (2)| 00:01:50 | 1 | 5 |
|* 5 | FILTER | | | | | | | |
|* 6 | HASH JOIN | | 905 | 121K| 12616 (2)| 00:02:32 | | |
|* 7 | HASH JOIN | | 905 | 99550 | 12448 (2)| 00:02:30 | | |
| 8 | PARTITION RANGE ALL | | 1979 | 108K| 9168 (2)| 00:01:51 | 1 | 5 |
|* 9 | TABLE ACCESS FULL | DW_BO_ORDER | 1979 | 108K| 9168 (2)| 00:01:51 | 1 | 5 |
|* 10 | TABLE ACCESS FULL | DW_CRM_DAY_USER | 309K| 15M| 3277 (2)| 00:00:40 | | |
| 11 | TABLE ACCESS FULL | DW_CHANNEL | 48425 | 1276K| 168 (1)| 00:00:03 | | |
|* 12 | FILTER | | | | | | | |
|* 13 | VIEW | | 114K| 6791K| 90 (3)| 00:00:02 | | |
| 14 | TABLE ACCESS FULL | SYS_TEMP_0FD9D662E_D625B872 | 114K| 3228K| 90 (3)| 00:00:02 | | |
--------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
4 - filter(TO_CHAR("STAFF_ID") LIKE '36%')
5 - filter( NOT EXISTS (SELECT /*+ */ 0 FROM (SELECT /*+ CACHE_TEMP_TABLE ("T1") */ "C0" "STAFF_ID","C1"
"PARTY_ID","C2" "BO_ID","C3" "PROD_ID","C4" "COMPLETE_DT" FROM "SYS"."SYS_TEMP_0FD9D662E_D625B872" "T1") "D"
WHERE (:B1='新装' OR :B2='移机' OR :B3='资费变更') AND TO_CHAR("D"."STAFF_ID") LIKE '36%' AND "D"."PARTY_ID"=:B4 AND
"D"."BO_ID"<>:B5 AND "D"."PROD_ID"<>:B6 AND
"D"."COMPLETE_DT">:B7-INTERVAL'+07 00:00:00' DAY(2) TO SECOND(0)))
6 - access("A"."CHANNEL_ID"="C"."CHANNEL_ID")
7 - access("A"."PROD_ID"="B"."PROD_ID")
9 - filter("A"."PROD_ID" IS NOT NULL AND ("A"."BO_ACTION_NAME"='新装' OR "A"."BO_ACTION_NAME"='移机' OR
"A"."BO_ACTION_NAME"='资费变更') AND TO_CHAR("A"."SO_STAFF_ID") LIKE '36%')
10 - filter("B"."PROD_SPEC"='(新) 全省_紧密融合型E9套餐产品规格' OR "B"."PROD_SPEC"='ADSL' OR "B"."PROD_SPEC"='E6移动版' OR
"B"."PROD_SPEC"='E8 - 2S' OR "B"."PROD_SPEC"='E9版1M(老版)' OR "B"."PROD_SPEC"='LAN' OR "B"."PROD_SPEC"='普通E9' OR
"B"."PROD_SPEC"='普通电话' OR "B"."PROD_SPEC"='普通新版E8' OR "B"."PROD_SPEC"='全省_紧密融合型E9套餐产品规格' OR "B"."PROD_SPEC"='手机'
OR "B"."PROD_SPEC"='新春欢乐送之E6套餐' OR "B"."PROD_SPEC"='新春欢乐送之E8套餐')
12 - filter(:B1='新装' OR :B2='移机' OR :B3='资费变更')
13 - filter(TO_CHAR("D"."STAFF_ID") LIKE '36%' AND "D"."PARTY_ID"=:B1 AND "D"."BO_ID"<>:B2 AND
"D"."PROD_ID"<>:B3 AND "D"."COMPLETE_DT">:B4-INTERVAL'+07 00:00:00' DAY(2) TO SECOND(0))
统计信息
----------------------------------------------------------
2 recursive calls
29 db block gets
110506 consistent gets
22 physical reads
656 redo size
2438096 bytes sent via SQL*Net to client
449 bytes received via SQL*Net from client
11 SQL*Net roundtrips to/from client
0 sorts (memory)
0 sorts (disk)
49245 rows processed
现在SQL 12秒可以跑完了，这个SQL优化到这里就行了，不能连接他的DB，我业务逻辑也不清楚，奶奶的，神马时候帮别人优化一个SQL 一行一元。
更多的SQL优化案例 http://blog.csdn.net/robinson1988/article/category/621201 欢迎点评
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