使用with as优化sql解决filter
2011-11-10 10:52
357 查看
最近一个地市的报表系统老是说数据出得慢，基本上要到中午才能出数据，但是查看过程是比较简单的。后来发现一条sql有问题，居然要跑5个多小时。
查看跑2个小时以上的sql
SELECT SQ.SQL_TEXT,
S.SQL_ID,
S.SID,
S.SERIAL#,
S.LAST_CALL_ET,
TO_CHAR(S.LOGON_TIME, 'yyyymmdd hh24:mi:ss') LOGON_TIME
FROM V$SESSION S,
V$SQLTEXT SQ
WHERE S.SQL_ID = SQ.SQL_ID AND
LAST_CALL_ET > 10000 AND
TO_CHAR(LOGON_TIME,'yyyymmdd') =TO_CHAR(SYSDATE,'yyyymmdd');
NTERVAL '7' DAY < D.COMPLETE_DT) 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
移机','资费变更') AND A.COMPLETE_DT - I 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A.BO_ACTION_NAME IN ('新装', ' 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A.PROD_ID != D.PROD_ID AND 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
ARTY_ID AND A.BO_ID != D.BO_ID AND 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
TAFF_ID LIKE '36%' AND A.PARTY_ID = D.P 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
FROM DW_BO_ORDER D WHERE D.S 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
欢乐送之E6套餐') AND NOT EXISTS (SELECT * 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
'新春欢乐送之E8套餐', '新春 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
) 全省_紧密融合型E9套餐产品规格', 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
紧密融合型E9套餐产品规格', '(新 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
'普通E9','普通新版E8', '全省_ 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
2S','E6移动版', 'E9版1M(老版)', 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
', 'ADSL','LAN', '手机', 'E8 - 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
移机','资费变更') AND B.PROD_SPEC IN ('普通电话 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
D LIKE '36%' AND A.BO_ACTION_NAME IN ('新装',' 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A.CHANNEL_ID = C.CHANNEL_ID AND A.SO_STAFF_I 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A WHERE A.PROD_ID = B.PROD_ID AND 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
DW_CRM_DAY_USER B, DW_BO_ORDER 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A.PROD_ID FROM DW_CHANNEL C, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A.SO_STAFF_ID, A.ATOM_ACTION_ID, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
B.START_DT, A.BO_ACTION_NAME, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
B.ACCESS_NUMBER, B.PROD_SPEC, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
CHANNEL_NAME, B.NAME PARTY_NAME, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
B.AREA_NAME, C.NAME 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
SELECT B.AREA_ID, A.PARTY_ID, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
CREATE TABLE TMP_DTBB_FMT_10000_1 NOLOGGING AS 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
找到的sql为如下：
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)
下面根据sql语句去查找相关的session，发现该语句已经跑了将近4个小时，从早上6点多开始跑。
SQL> SELECT S.SQL_ID,to_char(S.LOGON_TIME,'yyyymmdd hh24:mi:ss') LOGON_TIME,S.LAST_CALL_ET,S.STATE FROM V$SESSION S WHERE S.SID=232;
SQL_ID LOGON_TIME LAST_CALL_ET STATE
------------- ----------------- ------------ -------------------
4kyzp58tz0xya 20111110 06:27:38
13647 WAITED SHORT TIME
SQL> select 13647/3600 from dual;
13647/3600
----------
3.79083333
SQL> select to_char(sysdate,'yyyymmdd hh24:mi:ss') sysdat from dual;
SYSDAT
-----------------
20111110 10:18:39
OK，现在知道导致数据出的慢的原因,现在就开始来优化这条sql，首先收集一下统计图，然后看执行计划
BEGIN
DBMS_STATS.GATHER_TABLE_STATS(ownname => 'LBAS',
tabname => 'DW_BO_ORDER',
estimate_percent => 20,
method_opt => 'for all columns size auto',
no_invalidate => FALSE,
degree => 4,
granularity => 'ALL',
cascade => TRUE);
END;
/
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)
执行计划里面有个filter在里面，这个是导致这条sql跑的慢的原因。主要语句就是在not exists 里面居然存在!=， 哎，这sql语句写得真坑爹，由于有!=的存在，CBO不能选择 HASH_AJ join的方式，准备修改sql语句，但是不管怎么改，业务逻辑总不对，最后的结果也不对。得想办法吧filter搞掉，加多种hint，最后的结果还是一样的，在朋友的帮下，最后使用了了with as. good最后居然实现了在12秒以内出数据。下面看一下
WITH D AS
(SELECT /*+ materialize */
A.PARTY_ID,
A.BO_ID,
A.PROD_ID,
A.COMPLETE_DT
FROM DW_BO_ORDER A
WHERE STAFF_ID LIKE '36%' AND
A.BO_ACTION_NAME IN ('新装',
'移机',
'资费变更'))
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 A.PARTY_ID = D.PARTY_ID AND
A.BO_ID != D.BO_ID AND
A.PROD_ID != D.PROD_ID AND
A.COMPLETE_DT - INTERVAL '7'
DAY < D.COMPLETE_DT);
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
问题解决啦，这次过程中也学到了很多东西。谢谢那位哥们。
查看跑2个小时以上的sql
SELECT SQ.SQL_TEXT,
S.SQL_ID,
S.SID,
S.SERIAL#,
S.LAST_CALL_ET,
TO_CHAR(S.LOGON_TIME, 'yyyymmdd hh24:mi:ss') LOGON_TIME
FROM V$SESSION S,
V$SQLTEXT SQ
WHERE S.SQL_ID = SQ.SQL_ID AND
LAST_CALL_ET > 10000 AND
TO_CHAR(LOGON_TIME,'yyyymmdd') =TO_CHAR(SYSDATE,'yyyymmdd');
NTERVAL '7' DAY < D.COMPLETE_DT) 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
移机','资费变更') AND A.COMPLETE_DT - I 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A.BO_ACTION_NAME IN ('新装', ' 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A.PROD_ID != D.PROD_ID AND 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
ARTY_ID AND A.BO_ID != D.BO_ID AND 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
TAFF_ID LIKE '36%' AND A.PARTY_ID = D.P 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
FROM DW_BO_ORDER D WHERE D.S 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
欢乐送之E6套餐') AND NOT EXISTS (SELECT * 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
'新春欢乐送之E8套餐', '新春 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
) 全省_紧密融合型E9套餐产品规格', 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
紧密融合型E9套餐产品规格', '(新 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
'普通E9','普通新版E8', '全省_ 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
2S','E6移动版', 'E9版1M(老版)', 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
', 'ADSL','LAN', '手机', 'E8 - 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
移机','资费变更') AND B.PROD_SPEC IN ('普通电话 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
D LIKE '36%' AND A.BO_ACTION_NAME IN ('新装',' 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A.CHANNEL_ID = C.CHANNEL_ID AND A.SO_STAFF_I 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A WHERE A.PROD_ID = B.PROD_ID AND 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
DW_CRM_DAY_USER B, DW_BO_ORDER 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A.PROD_ID FROM DW_CHANNEL C, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
A.SO_STAFF_ID, A.ATOM_ACTION_ID, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
B.START_DT, A.BO_ACTION_NAME, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
B.ACCESS_NUMBER, B.PROD_SPEC, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
CHANNEL_NAME, B.NAME PARTY_NAME, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
B.AREA_NAME, C.NAME 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
SELECT B.AREA_ID, A.PARTY_ID, 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
CREATE TABLE TMP_DTBB_FMT_10000_1 NOLOGGING AS 4kyzp58tz0xya 232 811 15400 20111110 06:27:38
找到的sql为如下：
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)
下面根据sql语句去查找相关的session，发现该语句已经跑了将近4个小时，从早上6点多开始跑。
SQL> SELECT S.SQL_ID,to_char(S.LOGON_TIME,'yyyymmdd hh24:mi:ss') LOGON_TIME,S.LAST_CALL_ET,S.STATE FROM V$SESSION S WHERE S.SID=232;
SQL_ID LOGON_TIME LAST_CALL_ET STATE
------------- ----------------- ------------ -------------------
4kyzp58tz0xya 20111110 06:27:38
13647 WAITED SHORT TIME
SQL> select 13647/3600 from dual;
13647/3600
----------
3.79083333
SQL> select to_char(sysdate,'yyyymmdd hh24:mi:ss') sysdat from dual;
SYSDAT
-----------------
20111110 10:18:39
OK，现在知道导致数据出的慢的原因,现在就开始来优化这条sql，首先收集一下统计图，然后看执行计划
BEGIN
DBMS_STATS.GATHER_TABLE_STATS(ownname => 'LBAS',
tabname => 'DW_BO_ORDER',
estimate_percent => 20,
method_opt => 'for all columns size auto',
no_invalidate => FALSE,
degree => 4,
granularity => 'ALL',
cascade => TRUE);
END;
/
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)
执行计划里面有个filter在里面，这个是导致这条sql跑的慢的原因。主要语句就是在not exists 里面居然存在!=， 哎，这sql语句写得真坑爹，由于有!=的存在，CBO不能选择 HASH_AJ join的方式，准备修改sql语句，但是不管怎么改，业务逻辑总不对，最后的结果也不对。得想办法吧filter搞掉，加多种hint，最后的结果还是一样的，在朋友的帮下，最后使用了了with as. good最后居然实现了在12秒以内出数据。下面看一下
WITH D AS
(SELECT /*+ materialize */
A.PARTY_ID,
A.BO_ID,
A.PROD_ID,
A.COMPLETE_DT
FROM DW_BO_ORDER A
WHERE STAFF_ID LIKE '36%' AND
A.BO_ACTION_NAME IN ('新装',
'移机',
'资费变更'))
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 A.PARTY_ID = D.PARTY_ID AND
A.BO_ID != D.BO_ID AND
A.PROD_ID != D.PROD_ID AND
A.COMPLETE_DT - INTERVAL '7'
DAY < D.COMPLETE_DT);
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
问题解决啦，这次过程中也学到了很多东西。谢谢那位哥们。
内容来自用户分享和网络整理，不保证内容的准确性，如有侵权内容，可联系管理员处理 
相关文章推荐
- ORACLE使用WITH AS和HINT MATERIALIZE优化SQL解决FILTER效率低下
- ORACLE使用WITH AS和HINT MATERIALIZE优化SQL解决FILTER效率低下
- ORACLE使用WITH AS和HINT MATERIALIZE优化SQL解决FILTER效率低下
- 一张表被同一个sql多次调用，使用with as 优化
- 使用WITH AS 优化SQL
- 使用WITH AS 优化SQL
- 使用WITH AS 优化SQL
- SQL--使用With As 解决查询嵌套的问题
- 使用with as 优化SQL
- 使用with as 优化SQL
- linux 下sqlplus里无法使用方向键的解决
- 使用explain来优化查询SQL
- 队列优化并使用邻接表存储的Bellman-Ford算法模板解决最短路径存在负权边问题
- 转--优化临时表使用，SQL语句性能提升100倍
- 关于SQL中使用select sum查询结果为NULL的解决办法
- [DB][ORACLE]SQL中使用WITH AS提高性能和可读性
- oracle sql中使用contains函数解决like in %组合使用 的问题
- MS SQL Server 2000 数据库使用备份还原造成dbo登录名丢失解决法(转)
- 总结mysql不使用索引情况以及如何优化sql语句
- 在elasticsearch里如何高效的使用filter [性能优化必看]