dbms_sqltune.report_sql_monitor 自动调优
--创建 dbms_sqltune.create_tuning_task ;
--执行 dbms_sqltune.execute_tuning_task;
--产看创建的task 和 status SELECT TASK_NAME, STATUS FROM DBA_ADVISOR_LOG D LEFT JOIN USER_ADVISOR_TASKS U D.TASK_NAME = U.TASK_NAME WHERE D.TASK_NAME = 'TASK_NAME';
--显示调优结果 SELECT DBMS_SQLTUNE.REPORT_TUNING_TASK('test_sql_tuning')
/*
CREATE TABLE his_product_deal_main0801 AS
select * FROM his_product_deal_main m
WHERE M.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD') ;
CREATE TABLE his_commision_split0801 AS
select * FROM his_base_deal_commision_split s
WHERE s.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD') ;
CREATE TABLE product_pa_0801 AS
select * FROM product_deal_main_pa pa
WHERE pa.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD') ; SELECT * FROM his_product_deal_main0801 ;
SELECT * FROM his_commision_split0801 ;
SELECT * FROM product_pa_0801 ;
*/ WITH MAIN1 AS
(SELECT 1 bsid ,
M1.NO,
M1.SELLERNAME,
M1.BUYERNAME,
M1.BUYERBP,
M1.SELLERBP,
DECODE(M1.buyerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约') 签约标志,
DECODE(M1.buyerTAXVARITY, -1, '零税', 0, '含税', 1, '不含税') 含税标志,
DECODE(m1.BUYERSPFLAG, 0, '', -1, '业务特殊修改', 1, '特殊修改', 2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '') SPFLAG,
M1.BUYERFEEPRICERM AS 应收 ,
M1.BUYERTAXAFTERPRICE 实收,
M1.BUYERTAXPRICE AS 税额
FROM V_PRODUCT_DEAL_MAIN M1
WHERE m1.STATE =9 AND
M1.DEALDATE BETWEEN TO_DATE('','YYYYMMDD') AND TO_DATE('','YYYYMMDD')
UNION ALL
SELECT 2 bsid ,
M1.NO,
M1.SELLERNAME,
M1.BUYERNAME,
M1.BUYERBP,
M1.SELLERBP,
DECODE(M1.sellerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约') 签约标志,
DECODE(M1.SELLERTAXVARITY, -1, '零税', 0, '含税', 1, '不含税') 含税标志,
DECODE(m1.sellERSPFLAG, 0, '', -1, '业务特殊修改', 1, '特殊修改', 2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '') SPFLAG,
M1.SELLERFEEPRICERM AS 应收,
M1.SELLERTAXAFTERPRICE AS 实收,
M1.SELLERTAXPRICE AS 税额
FROM V_PRODUCT_DEAL_MAIN M1
WHERE m1.STATE =9 AND M1.DEALDATE BETWEEN TO_DATE('','YYYYMMDD') AND TO_DATE('','YYYYMMDD') ),
CSPLIT AS
( SELECT BS.DEALNO,
BS.BSFLAG,
SUM(DECODE(BS.BSFLAG, 1, BS.AMOUNTCNY)) cs_买_实收,
SUM(DECODE(BS.BSFLAG, 1, BS.TAXAFTERPRICE)) cs_买_TAXAFTERPRICE,
SUM(DECODE(BS.BSFLAG, 2, BS.AMOUNTCNY)) cs_卖_实收,
SUM(DECODE(BS.BSFLAG, 2, BS.TAXAFTERPRICE)) cs_卖_TAXAFTERPRICE
FROM HIS_BASE_DEAL_COMMISION_SPLIT BS
WHERE bs.status=0 AND BS.DEALDATE BETWEEN TO_DATE('','YYYYMMDD') AND TO_DATE('','YYYYMMDD')
GROUP BY BS.DEALNO, BS.BSFLAG
ORDER BY BS.DEALNO ),PPA AS ( SELECT 1 bsid ,
M1.NO,
M1.BUYERNAME,
M1.BUYERBP,
DECODE(M1.buyerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约') 签约标志,
DECODE(M1.buyerTAXVARITY, -1, '零税', 0, '含税', 1, '不含税') 含税标志,
DECODE(m1.buyerSPFLAG, 0, '', -1, '业务特殊修改', 1, '特殊修改', 2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '') SPFLAG, M1.BUYERFEEPRICERM AS 应收 ,
M1.BUYERTAXAFTERPRICE 实收,
M1.BUYERTAXPRICE AS 税额
FROM PRODUCT_DEAL_MAIN_PA M1
WHERE m1.buyermksure=2 AND M1.DEALDATE BETWEEN TO_DATE('','YYYYMMDD') AND TO_DATE('','YYYYMMDD')
UNION
SELECT 2 bsid ,
M1.NO,
M1.SELLERNAME,
M1.SELLERBP,
DECODE(M1.sellerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约') 签约标志,
DECODE(M1.SELLERTAXVARITY, -1, '零税', 0, '含税', 1, '不含税') 含税标志,
DECODE(m1.sellerSPFLAG, 0, '', -1, '业务特殊修改', 1, '特殊修改', 2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '') SPFLAG,
M1.SELLERFEEPRICERM AS 应收,
M1.SELLERTAXAFTERPRICE AS 实收,
M1.SELLERTAXPRICE AS 税额
FROM PRODUCT_DEAL_MAIN_PA M1
WHERE m1.sellermksure=2 AND M1.DEALDATE BETWEEN TO_DATE('','YYYYMMDD') AND TO_DATE('','YYYYMMDD') )
SELECT /*+ monitor */ MA.NO,
MA.BSID ,
ma.签约标志 AS MA_签约标志,
decode(ma.SPFLAG,NULL,'正常',ma.SPFLAG) MA_SPFLAG,
ma.含税标志 AS MA_含税标志,
ma.应收 MA_应收,
MA.实收 MA_实收,
MA.税额 MA_税额,
DECODE( CS.BSFLAG,1,CS.CS_买_实收,CS.CS_卖_实收) cs_实收,
DECODE( CS.BSFLAG,1,CS_买_TAXAFTERPRICE,CS_卖_TAXAFTERPRICE) cs_含税,
DECODE(PA.含税标志,NULL,'NULL',PA.含税标志) PA_含税标志,
DECODE(PA.应收,NULL,'NULL',PA.应收) PA_应收,
DECODE(PA.实收,NULL,'NULL',PA.实收) PA_实收,
DECODE(PA.税额,NULL,'NULL',PA.税额) PA_税额
FROM MAIN1 MA
LEFT JOIN CSPLIT CS
ON MA.NO = CS.DEALNO
AND MA.BSID = CS.BSFLAG
LEFT JOIN PPA PA
ON MA.NO = PA.NO AND PA.BSID=MA.BSID
-- WHERE cs_实收 IS NULL AND cs_含税 IS NULL
ORDER BY MA.NO
; --a8646vy7mqm4u--
---select dbms_sqltune.report_sql_monitor from dual; DECLARE my_task_name VARCHAR2(1000);
BEGIN
my_task_name := DBMS_SQLTUNE.CREATE_TUNING_TASK(
SQL_ID => 'a8646vy7mqm4u',
scope => 'COMPREHENSIVE',
time_limit => 60,
task_name => 'tunning_task_a8646vy7mqm4u',
description => 'Task to tune a query on ddw7j6yfnw0vz');
end ;
/ --3.查看任务名
SELECT TASK_NAME FROM DBA_ADVISOR_LOG WHERE OWNER = 'PCISS';
--5.查看sql tunning任务状态
SELECT status FROM USER_ADVISOR_TASKS WHERE task_name = 'tunning_task_a8646vy7mqm4u';
--4.执行sql tuning任务
BEGIN
DBMS_SQLTUNE.EXECUTE_TUNING_TASK( task_name => 'tunning_task_a8646vy7mqm4u' );
END;
/
--5.查看sql tunning任务状态 --COMPLETED
SELECT status FROM USER_ADVISOR_TASKS WHERE task_name = 'tunning_task_a8646vy7mqm4u'; --6.展示sql tunning结果
SET LONG 10000
SET LONGCHUNKSIZE 1000
SET LINESIZE 100
SELECT DBMS_SQLTUNE.REPORT_TUNING_TASK('tunning_task_a8646vy7mqm4u') FROM DUAL;
--7.完成后删除sql tunning任务
EXEC DBMS_SQLTUNE.DROP_TUNING_TASK('test_sql_tuning'); --8.其他
--sql tunning任务创建后，也可以修改参数
BEGIN
DBMS_SQLTUNE.SET_TUNING_TASK_PARAMETER(
task_name => 'test_sql_tuning',
parameter => 'TIME_LIMIT', value => 300);
END;
/ --查看SQL Tuning Advisor的进展（task执行很久）
col opname for a20
col ADVISOR_NAME for a20
SELECT SID,SERIAL#,USERNAME,OPNAME,ADVISOR_NAME,TARGET_DESC,START_TIME SOFAR, TOTALWORK
FROM V$ADVISOR_PROGRESS
WHERE USERNAME = 'TEST';
----调优计划
GENERAL INFORMATION SECTION
-------------------------------------------------------------------------------
Tuning Task Name : tunning_task_a8646vy7mqm4u
Tuning Task Owner : PCISS
Workload Type : Single SQL Statement
Scope : COMPREHENSIVE
Time Limit(seconds): 60
Completion Status : COMPLETED
Started at : 08/04/2017 13:54:34
Completed at : 08/04/2017 13:54:40 -------------------------------------------------------------------------------
Schema Name: PCISS
SQL ID : a8646vy7mqm4u
SQL Text : /*
CREATE TABLE his_product_deal_main0801 AS
select * FROM his_product_deal_main m
WHERE M.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND
TO_DATE('20170802','YYYYMMDD') ;
CREATE TABLE his_commision_split0801 AS
select * FROM his_base_deal_commision_split s
WHERE s.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND
TO_DATE('20170802','YYYYMMDD') ;
CREATE TABLE product_pa_0801 AS
select * FROM product_deal_main_pa pa
WHERE pa.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND
TO_DATE('20170802','YYYYMMDD') ;
SELECT * FROM his_product_deal_main0801 ;
SELECT * FROM his_commision_split0801 ;
SELECT * FROM product_pa_0801 ;
*/
WITH MAIN1 AS
(SELECT 1 bsid ,
M1.NO,
M1.SELLERNAME,
M1.BUYERNAME,
M1.BUYERBP,
M1.SELLERBP,
DECODE(M1.buyerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约')
签约标志,
DECODE(M1.buyerTAXVARITY, -1, '零税', 0, '含税', 1, '不含税')
含税标志,
DECODE(m1.BUYERSPFLAG, 0, '', -1, '业务特殊修改', 1,
'特殊修改', 2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '')
SPFLAG,
M1.BUYERFEEPRICERM AS 应收 ,
M1.BUYERTAXAFTERPRICE 实收,
M1.BUYERTAXPRICE AS 税额
FROM V_PRODUCT_DEAL_MAIN M1
WHERE m1.STATE =9 AND
M1.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND
TO_DATE('20170802','YYYYMMDD')
UNION ALL
SELECT 2 bsid ,
M1.NO,
M1.SELLERNAME,
M1.BUYERNAME,
M1.BUYERBP,
M1.SELLERBP,
DECODE(M1.sellerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约')
签约标志,
DECODE(M1.SELLERTAXVARITY, -1, '零税', 0, '含税', 1, '不含税')
含税标志,
DECODE(m1.sellERSPFLAG, 0, '', -1, '业务特殊修改', 1, '特殊修改',
2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '') SPFLAG,
M1.SELLERFEEPRICERM AS 应收,
M1.SELLERTAXAFTERPRICE AS 实收,
M1.SELLERTAXPRICE AS 税额
FROM V_PRODUCT_DEAL_MAIN M1
WHERE m1.STATE =9 AND M1.DEALDATE BETWEEN
TO_DATE('20170801','YYYYMMDD') AND
TO_DATE('20170802','YYYYMMDD')
),
CSPLIT AS
(
SELECT BS.DEALNO,
BS.BSFLAG,
SUM(DECODE(BS.BSFLAG, 1, BS.AMOUNTCNY)) cs_买_实收,
SUM(DECODE(BS.BSFLAG, 1, BS.TAXAFTERPRICE))
cs_买_TAXAFTERPRICE,
SUM(DECODE(BS.BSFLAG, 2, BS.AMOUNTCNY)) cs_卖_实收,
SUM(DECODE(BS.BSFLAG, 2, BS.TAXAFTERPRICE))
cs_卖_TAXAFTERPRICE
FROM HIS_BASE_DEAL_COMMISION_SPLIT BS
WHERE bs.status=0 AND BS.DEALDATE BETWEEN
TO_DATE('20170801','YYYYMMDD') AND
TO_DATE('20170802','YYYYMMDD')
GROUP BY BS.DEALNO, BS.BSFLAG
ORDER BY BS.DEALNO
),PPA AS (
SELECT 1 bsid ,
M1.NO,
M1.BUYERNAME,
M1.BUYERBP,
DECODE(M1.buyerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约')
签约标志,
DECODE(M1.buyerTAXVARITY, -1, '零税', 0, '含税', 1, '不含税')
含税标志,
DECODE(m1.buyerSPFLAG, 0, '', -1, '业务特殊修改', 1,
'特殊修改', 2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '')
SPFLAG,
M1.BUYERFEEPRICERM AS 应收 ,
M1.BUYERTAXAFTERPRICE 实收,
M1.BUYERTAXPRICE AS 税额
FROM PRODUCT_DEAL_MAIN_PA M1
WHERE m1.buyermksure=2 AND M1.DEALDATE BETWEEN
TO_DATE('20170801','YYYYMMDD') AND
TO_DATE('20170802','YYYYMMDD')
UNION
SELECT 2 bsid ,
M1.NO,
M1.SELLERNAME,
M1.SELLERBP,
DECODE(M1.sellerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约')
签约标志,
DECODE(M1.SELLERTAXVARITY, -1, '零税', 0, '含税', 1, '不含税')
含税标志,
DECODE(m1.sellerSPFLAG, 0, '', -1, '业务特殊修改', 1, '特殊修改',
2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '') SPFLAG,
M1.SELLERFEEPRICERM AS 应收,
M1.SELLERTAXAFTERPRICE AS 实收,
M1.SELLERTAXPRICE AS 税额
FROM PRODUCT_DEAL_MAIN_PA M1
WHERE m1.sellermksure=2 AND M1.DEALDATE BETWEEN
TO_DATE('20170801','YYYYMMDD') AND
TO_DATE('20170802','YYYYMMDD')
)
SELECT /*+ monitor */ MA.NO,
MA.BSID ,
ma.签约标志 AS MA_签约标志,
decode(ma.SPFLAG,NULL,'正常',ma.SPFLAG) MA_SPFLAG,
ma.含税标志 AS MA_含税标志,
ma.应收 MA_应收,
MA.实收 MA_实收,
MA.税额 MA_税额,
DECODE( CS.BSFLAG,1,CS.CS_买_实收,CS.CS_卖_实收) cs_实收,
DECODE( CS.BSFLAG,1,CS_买_TAXAFTERPRICE,CS_卖_TAXAFTERPRICE)
cs_含税,
DECODE(PA.含税标志,NULL,'NULL',PA.含税标志) PA_含税标志,
DECODE(PA.应收,NULL,'NULL',PA.应收) PA_应收,
DECODE(PA.实收,NULL,'NULL',PA.实收) PA_实收,
DECODE(PA.税额,NULL,'NULL',PA.税额) PA_税额
FROM MAIN1 MA
LEFT JOIN CSPLIT CS
ON MA.NO = CS.DEALNO
AND MA.BSID = CS.BSFLAG
LEFT JOIN PPA PA
ON MA.NO = PA.NO AND PA.BSID=MA.BSID
-- WHERE cs_实收 IS NULL AND cs_含税 IS NULL
ORDER BY MA.NO -------------------------------------------------------------------------------
FINDINGS SECTION (2 findings)
------------------------------------------------------------------------------- 1- Index Finding (see explain plans section below)
--------------------------------------------------
通过创建一个或多个索引可以改进此语句的执行计划。 Recommendation (estimated benefit: 90.53%)
------------------------------------------
- 考虑运行可以改进物理方案设计的访问指导或者创建推荐的索引。
create index PCISS.IDX$$_67460001 on PCISS.PRODUCT_DEAL_MAIN_PA("BUYERMKSUR
E","DEALDATE"); - 考虑运行可以改进物理方案设计的访问指导或者创建推荐的索引。
create index PCISS.IDX$$_67460002 on PCISS.PRODUCT_DEAL_MAIN_PA("SELLERMKSU
RE","DEALDATE"); - 考虑运行可以改进物理方案设计的访问指导或者创建推荐的索引。
create index PCISS.IDX$$_67460003 on PCISS.HIS_BASE_DEAL_COMMISION_SPLIT(TO
_NUMBER("STATUS"),"DEALDATE"); Rationale
---------
创建推荐的索引可以显著地改进此语句的执行计划。但是, 使用典型的 SQL 工作量运行 "访问指导"
可能比单个语句更可取。通过这种方法可以获得全面的索引建议案, 包括计算索引维护的开销和附加的空间消耗。 2- Alternative Plan Finding
---------------------------
通过搜索系统的实时和历史性能数据找到了此语句的某些替代执行计划。 The following table lists these plans ranked by their average elapsed time.
See section "ALTERNATIVE PLANS SECTION" for detailed information on each
plan. id plan hash last seen elapsed (s) origin note
-- ---------- -------------------- ------------ --------------- ----------------
1 2571851218 2017-08-04/13:27:59 0.185 Cursor Cache
2 2840591098 2017-08-04/13:25:14 0.196 Cursor Cache original plan Recommendation
--------------
- 请考虑使用最佳平均用时为计划创建 SQL 计划基线。
execute dbms_sqltune.create_sql_plan_baseline(task_name =>
'tunning_task_a8646vy7mqm4u', owner_name => 'PCISS',
plan_hash_value => 2571851218); -------------------------------------------------------------------------------
ADDITIONAL INFORMATION SECTION
-------------------------------------------------------------------------------
- 优化程序不能合并位于执行计划的行 ID 21 处的视图。. 优化程序不能合并包含 "ORDER BY" 子句的视图, 除非此语句为 "DELETE"
或 "UPDATE", 并且父查询为此语句中的顶级查询。. -------------------------------------------------------------------------------
EXPLAIN PLANS SECTION
------------------------------------------------------------------------------- 1- Original
-----------
Plan hash value: 2840591098 --------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 920 | 192K| 8188 (1)| 00:01:39 |
| 1 | SORT ORDER BY | | 920 | 192K| 8188 (1)| 00:01:39 |
|* 2 | HASH JOIN RIGHT OUTER | | 920 | 192K| 8187 (1)| 00:01:39 |
| 3 | VIEW | | 2 | 128 | 118 (2)| 00:00:02 |
| 4 | SORT UNIQUE | | 2 | 153 | 118 (51)| 00:00:02 |
| 5 | UNION-ALL | | | | | |
|* 6 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 77 | 58 (0)| 00:00:01 |
|* 7 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 76 | 58 (0)| 00:00:01 |
|* 8 | HASH JOIN OUTER | | 920 | 134K| 8068 (1)| 00:01:37 |
| 9 | VIEW | | 920 | 71760 | 198 (0)| 00:00:03 |
| 10 | UNION-ALL | | | | | |
| 11 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
| 12 | UNION-ALL | | | | | |
|* 13 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
|* 14 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
|* 15 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
| 16 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
| 17 | UNION-ALL | | | | | |
|* 18 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
|* 19 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
|* 20 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
| 21 | VIEW | | 1327 | 95544 | 7870 (1)| 00:01:35 |
| 22 | SORT GROUP BY | | 1327 | 50426 | 7870 (1)| 00:01:35 |
|* 23 | TABLE ACCESS FULL | HIS_BASE_DEAL_COMMISION_SPLIT | 1327 | 50426 | 7869 (1)| 00:01:35 |
-------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access("PA"."BSID"(+)="MA"."BSID" AND "MA"."NO"="PA"."NO"(+))
6 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"M1"."BUYERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
7 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"M1"."SELLERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
8 - access("MA"."BSID"=TO_NUMBER("CS"."BSFLAG"(+)) AND "MA"."NO"="CS"."DEALNO"(+))
13 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
14 - filter("B"."STATE"=9)
15 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
18 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
19 - filter("B"."STATE"=9)
20 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
23 - filter("BS"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
TO_NUMBER("BS"."STATUS")=0 AND "BS"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss')) 2- Using New Indices
--------------------
Plan hash value: 1939776337 --------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 920 | 192K| 775 (1)| 00:00:10 |
| 1 | SORT ORDER BY | | 920 | 192K| 775 (1)| 00:00:10 |
|* 2 | HASH JOIN RIGHT OUTER | | 920 | 192K| 774 (1)| 00:00:10 |
| 3 | VIEW | | 2 | 128 | 6 (34)| 00:00:01 |
| 4 | SORT UNIQUE | | 2 | 153 | 6 (67)| 00:00:01 |
| 5 | UNION-ALL | | | | | |
| 6 | TABLE ACCESS BY INDEX ROWID | PRODUCT_DEAL_MAIN_PA | 1 | 77 | 2 (0)| 00:00:01 |
|* 7 | INDEX RANGE SCAN | IDX$$_67460001 | 1 | | 1 (0)| 00:00:01 |
| 8 | TABLE ACCESS BY INDEX ROWID | PRODUCT_DEAL_MAIN_PA | 1 | 76 | 2 (0)| 00:00:01 |
|* 9 | INDEX RANGE SCAN | IDX$$_67460002 | 1 | | 1 (0)| 00:00:01 |
|* 10 | HASH JOIN OUTER | | 920 | 134K| 768 (1)| 00:00:10 |
| 11 | VIEW | | 920 | 71760 | 198 (0)| 00:00:03 |
| 12 | UNION-ALL | | | | | |
| 13 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
| 14 | UNION-ALL | | | | | |
|* 15 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
|* 16 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
|* 17 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
| 18 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
| 19 | UNION-ALL | | | | | |
|* 20 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
|* 21 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
|* 22 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
| 23 | VIEW | | 1327 | 95544 | 569 (1)| 00:00:07 |
| 24 | SORT GROUP BY | | 1327 | 50426 | 569 (1)| 00:00:07 |
| 25 | TABLE ACCESS BY INDEX ROWID | HIS_BASE_DEAL_COMMISION_SPLIT | 1327 | 50426 | 568 (0)| 00:00:07 |
|* 26 | INDEX RANGE SCAN | IDX$$_67460003 | 1323 | | 7 (0)| 00:00:01 |
-------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access("PA"."BSID"(+)="MA"."BSID" AND "MA"."NO"="PA"."NO"(+))
7 - access("M1"."BUYERMKSURE"=2 AND "M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd
hh24:mi:ss') AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
9 - access("M1"."SELLERMKSURE"=2 AND "M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd
hh24:mi:ss') AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
10 - access("MA"."BSID"=TO_NUMBER("CS"."BSFLAG"(+)) AND "MA"."NO"="CS"."DEALNO"(+))
15 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
16 - filter("B"."STATE"=9)
17 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
20 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
21 - filter("B"."STATE"=9)
22 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
26 - access("HIS_BASE_DEAL_COMMISION_SPLIT".<not feasible>) -------------------------------------------------------------------------------
ALTERNATIVE PLANS SECTION
------------------------------------------------------------------------------- Plan 1
------ Plan Origin :Cursor Cache
Plan Hash Value :2571851218
Executions :2
Elapsed Time :0.185 sec
CPU Time :0.184 sec
Buffer Gets :29579
Disk Reads :28965
Disk Writes :0 Notes:
1. Statistics shown are averaged over multiple executions. --------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 920 | 192K| 8188 (1)| 00:01:39 |
| 1 | SORT ORDER BY | | 920 | 192K| 8188 (1)| 00:01:39 |
|* 2 | HASH JOIN OUTER | | 920 | 192K| 8187 (1)| 00:01:39 |
|* 3 | HASH JOIN OUTER | | 920 | 127K| 317 (1)| 00:00:04 |
| 4 | VIEW | | 920 | 71760 | 198 (0)| 00:00:03 |
| 5 | UNION-ALL | | | | | |
| 6 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
| 7 | UNION-ALL | | | | | |
|* 8 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
|* 9 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
|* 10 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
| 11 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
| 12 | UNION-ALL | | | | | |
|* 13 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
|* 14 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
|* 15 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
| 16 | VIEW | | 2 | 128 | 118 (2)| 00:00:02 |
| 17 | SORT UNIQUE | | 2 | 153 | 118 (51)| 00:00:02 |
| 18 | UNION-ALL | | | | | |
|* 19 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 77 | 58 (0)| 00:00:01 |
|* 20 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 76 | 58 (0)| 00:00:01 |
| 21 | VIEW | | 1327 | 95544 | 7870 (1)| 00:01:35 |
| 22 | SORT GROUP BY | | 1327 | 50426 | 7870 (1)| 00:01:35 |
|* 23 | TABLE ACCESS FULL | HIS_BASE_DEAL_COMMISION_SPLIT | 1327 | 50426 | 7869 (1)| 00:01:35 |
-------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access("MA"."BSID"=TO_NUMBER("CS"."BSFLAG"(+)) AND "MA"."NO"="CS"."DEALNO"(+))
3 - access("PA"."BSID"(+)="MA"."BSID" AND "MA"."NO"="PA"."NO"(+))
8 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
9 - filter("B"."STATE"=9)
10 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
13 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
14 - filter("B"."STATE"=9)
15 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
19 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"M1"."BUYERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
20 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"M1"."SELLERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
23 - filter("BS"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
TO_NUMBER("BS"."STATUS")=0 AND "BS"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss')) Plan 2
------ Plan Origin :Cursor Cache
Plan Hash Value :2840591098
Executions :1
Elapsed Time :0.196 sec
CPU Time :0.195 sec
Buffer Gets :29585
Disk Reads :28965
Disk Writes :0 Notes:
1. Statistics shown are averaged over multiple executions.
2. The plan matches the original plan. --------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 920 | 192K| 8188 (1)| 00:01:39 |
| 1 | SORT ORDER BY | | 920 | 192K| 8188 (1)| 00:01:39 |
|* 2 | HASH JOIN RIGHT OUTER | | 920 | 192K| 8187 (1)| 00:01:39 |
| 3 | VIEW | | 2 | 128 | 118 (2)| 00:00:02 |
| 4 | SORT UNIQUE | | 2 | 153 | 118 (51)| 00:00:02 |
| 5 | UNION-ALL | | | | | |
|* 6 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 77 | 58 (0)| 00:00:01 |
|* 7 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 76 | 58 (0)| 00:00:01 |
|* 8 | HASH JOIN OUTER | | 920 | 134K| 8068 (1)| 00:01:37 |
| 9 | VIEW | | 920 | 71760 | 198 (0)| 00:00:03 |
| 10 | UNION-ALL | | | | | |
| 11 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
| 12 | UNION-ALL | | | | | |
|* 13 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
|* 14 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
|* 15 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
| 16 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
| 17 | UNION-ALL | | | | | |
|* 18 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
|* 19 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
|* 20 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
| 21 | VIEW | | 1327 | 95544 | 7870 (1)| 00:01:35 |
| 22 | SORT GROUP BY | | 1327 | 50426 | 7870 (1)| 00:01:35 |
|* 23 | TABLE ACCESS FULL | HIS_BASE_DEAL_COMMISION_SPLIT | 1327 | 50426 | 7869 (1)| 00:01:35 |
-------------------------------------------------------------------------------------------------------------------- Predicate Information (identified by operation id):
--------------------------------------------------- 2 - access("PA"."BSID"(+)="MA"."BSID" AND "MA"."NO"="PA"."NO"(+))
6 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"M1"."BUYERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
7 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"M1"."SELLERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
8 - access("MA"."BSID"=TO_NUMBER("CS"."BSFLAG"(+)) AND "MA"."NO"="CS"."DEALNO"(+))
13 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
14 - filter("B"."STATE"=9)
15 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
18 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
19 - filter("B"."STATE"=9)
20 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
"B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
23 - filter("BS"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
TO_NUMBER("BS"."STATUS")=0 AND "BS"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss')) -------------------------------------------------------------------------------
dbms_sqltune.report_sql_monitor 自动调优的更多相关文章
- 转://Oracle undo 自动调优
Oracle 10gr2的后续版本中添加了UNDO信息最短保留时间段自动调优的特性,不再仅仅依据参数UNDO_RETENTION的设定,其调优原则如下:1. 当UNDO TABLESPACE为 fix ...
- linux下TCP/IP及内核参数优化调优(转）
Linux下TCP/IP及内核参数优化有多种方式,参数配置得当可以大大提高系统的性能,也可以根据特定场景进行专门的优化,如TIME_WAIT过高,DDOS攻击等等. 如下配置是写在sysctl.con ...
- Linux内核 TCP/IP、Socket参数调优
Linux内核 TCP/IP.Socket参数调优 2014-06-06 Harrison.... 阅 9611 转 165 转藏到我的图书馆 微信分享: Doc1: /proc/sy ...
- 剑指架构师系列-Linux下的调优
1.I/O调优 CentOS下的iostat命令输出如下: $iostat -d -k 1 2 # 查看TPS和吞吐量 参数 -d 表示,显示设备(磁盘)使用状态:-k某些使用block为单位的列强制 ...
- Linux内核参数调优
用法: vim /etc/sysctl.conf #修改内容 sysctl -p #生效 相关参数仅供参考,具体数值还需要根据机器性能,应用场景等实际情况来做更细微调整. net.core.net ...
- TCP/IP及内核参数优化调优
Linux下TCP/IP及内核参数优化有多种方式,参数配置得当可以大大提高系统的性能,也可以根据特定场景进行专门的优化,如TIME_WAIT过高,DDOS攻击等等.如下配置是写在sysctl.conf ...
- Linux网卡调优篇-禁用ipv6与优化socket缓冲区大小
Linux网卡调优篇-禁用ipv6与优化socket缓冲区大小 作者:尹正杰 版权声明:原创作品,谢绝转载!否则将追究法律责任. 一般在内网环境中,我们几乎是用不到IPV6,因此我们没有必要把多不 ...
- Linux Linux内核参数调优
Linux内核参数调优 by:授客 QQ:1033553122 关于调优的建议: 1.出错时,可以查看操作系统日志,可能会找到一些有用的信息 2.尽量不要“批量”修改内核参数,笔者就曾这么干过,结果“ ...
- 【机器学习基础】SVM实现分类识别及参数调优(二)
前言 实现分类可以使用SVM方法,但是需要人工调参,具体过程请参考here,这个比较麻烦,小鹅不喜欢麻烦,正好看到SVM可以自动调优,甚好! 注意 1.reshape的使用: https://docs ...
随机推荐
- WPF 访问资源中的Storyboard
原文:WPF 访问资源中的Storyboard <UserControl.Resources> <Storyboard x:Key="testStoryboard" ...
- 【转载】COM 组件设计与应用（六）——用 ATL 写第一个组件
原文:http://vckbase.com/index.php/wv/1216.html 一.前言 1.与 <COM 组件设计与应用(五)>的内容基本一致.但本回讲解的是在 vc.net ...
- 23-[模块]-subprocess模块
1.调用系统命令 我们经常需要通过Python去执行一条系统命令或脚本,系统的shell命令是独立于你的python进程之外的,每执行一条命令,就是发起一个新进程,通过python调用系统命令或脚本的 ...
- 6 [面向对象]-property
1.特性(property) 什么是特性property property是一种特殊的属性,访问它时会执行一段功能(函数)然后返回值 例一:BMI指数(bmi是计算而来的,但很明显它听起来像是一个属性 ...
- TMS320VC5509启动模式选择
1. TMS320VC5509内部没有存储空间,所以需要外部接flash.如果使用JTAG仿真板子的话,应该是选择USB下载模式,同时EEPROM应该是支持SPI FALSH的.
- Open-Drain&Push-Pull
在配置GPIO(General Purpose Input Output)管脚的时候,常会见到两种模式:开漏(open-drain,漏极开路)和推挽(push-pull).对此两种模式,有何区别和联系 ...
- Python+Selenium UI自动化测试环境搭建及使用
一什么是Selenium ? Selenium 是一个浏览器自动化测试框架,它主要用于web应用程序的自动化测试,其主要特点如下:开源.免费:多平台.浏览器.多语言支持:对web页面有良好的支持:AP ...
- redis-4.0.2
redis-4.0.2.tar.gz 链接:https://pan.baidu.com/s/1qj4bSgM1s2InLikugRNqKA 提取码:tozq 复制这段内容后打开百度网盘手机App,操作 ...
- 在CentOS7上部署PostgreSQL11数据库系统
在数据库上的选择,也是基于了稳定性为前提.其实选择的范围并不是太大,基本可以选择的范围也就是SQLServer.MySQL.PostgreSQL这三种.SQL Server是微软的商业数据库,无论是性 ...
- Codeforces70 | Codeforces Beta Round #64 | 瞎讲报告
目录 前言 正文 A B C D E 前言 这个毒瘤的517 放了Div1 然后D题是昨天讲的动态凸包(啊喂!我还没来的及去写 结果自己想的是二分凸包 (当然没有写出来 写完前两题之后就愉快地弃疗 C ...