dbms_sqltune.report_sql_monitor 自动调优
2017-08-04 14:53
489 查看
--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')
----调优计划
View Code
--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')
1 /*
2 CREATE TABLE his_product_deal_main0801 AS
3 select * FROM his_product_deal_main m
4 WHERE M.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD') ;
5 CREATE TABLE his_commision_split0801 AS
6 select * FROM his_base_deal_commision_split s
7 WHERE s.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD') ;
8 CREATE TABLE product_pa_0801 AS
9 select * FROM product_deal_main_pa pa
10 WHERE pa.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD') ;
11
12 SELECT * FROM his_product_deal_main0801 ;
13 SELECT * FROM his_commision_split0801 ;
14 SELECT * FROM product_pa_0801 ;
15 */
16
17
18 WITH MAIN1 AS
19 (SELECT 1 bsid ,
20 M1.NO,
21 M1.SELLERNAME,
22 M1.BUYERNAME,
23 M1.BUYERBP,
24 M1.SELLERBP,
25 DECODE(M1.buyerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约') 签约标志,
26 DECODE(M1.buyerTAXVARITY, -1, '零税', 0, '含税', 1, '不含税') 含税标志,
27 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,
28 M1.BUYERFEEPRICERM AS 应收 ,
29 M1.BUYERTAXAFTERPRICE 实收,
30 M1.BUYERTAXPRICE AS 税额
31 FROM V_PRODUCT_DEAL_MAIN M1
32 WHERE m1.STATE =9 AND
33 M1.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD')
34 UNION ALL
35 SELECT 2 bsid ,
36 M1.NO,
37 M1.SELLERNAME,
38 M1.BUYERNAME,
39 M1.BUYERBP,
40 M1.SELLERBP,
41 DECODE(M1.sellerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约') 签约标志,
42 DECODE(M1.SELLERTAXVARITY, -1, '零税', 0, '含税', 1, '不含税') 含税标志,
43 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,
44 M1.SELLERFEEPRICERM AS 应收,
45 M1.SELLERTAXAFTERPRICE AS 实收,
46 M1.SELLERTAXPRICE AS 税额
47 FROM V_PRODUCT_DEAL_MAIN M1
48 WHERE m1.STATE =9 AND M1.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD')
49
50
51
52 ),
53 CSPLIT AS
54 (
55
56 SELECT BS.DEALNO,
57 BS.BSFLAG,
58 SUM(DECODE(BS.BSFLAG, 1, BS.AMOUNTCNY)) cs_买_实收,
59 SUM(DECODE(BS.BSFLAG, 1, BS.TAXAFTERPRICE)) cs_买_TAXAFTERPRICE,
60 SUM(DECODE(BS.BSFLAG, 2, BS.AMOUNTCNY)) cs_卖_实收,
61 SUM(DECODE(BS.BSFLAG, 2, BS.TAXAFTERPRICE)) cs_卖_TAXAFTERPRICE
62 FROM HIS_BASE_DEAL_COMMISION_SPLIT BS
63 WHERE bs.status=0 AND BS.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD')
64 GROUP BY BS.DEALNO, BS.BSFLAG
65 ORDER BY BS.DEALNO
66
67 ),PPA AS (
68
69 SELECT 1 bsid ,
70 M1.NO,
71 M1.BUYERNAME,
72 M1.BUYERBP,
73 DECODE(M1.buyerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约') 签约标志,
74 DECODE(M1.buyerTAXVARITY, -1, '零税', 0, '含税', 1, '不含税') 含税标志,
75 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,
76
77 M1.BUYERFEEPRICERM AS 应收 ,
78 M1.BUYERTAXAFTERPRICE 实收,
79 M1.BUYERTAXPRICE AS 税额
80 FROM PRODUCT_DEAL_MAIN_PA M1
81 WHERE m1.buyermksure=2 AND M1.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD')
82 UNION
83 SELECT 2 bsid ,
84 M1.NO,
85 M1.SELLERNAME,
86 M1.SELLERBP,
87 DECODE(M1.sellerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约') 签约标志,
88 DECODE(M1.SELLERTAXVARITY, -1, '零税', 0, '含税', 1, '不含税') 含税标志,
89 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,
90 M1.SELLERFEEPRICERM AS 应收,
91 M1.SELLERTAXAFTERPRICE AS 实收,
92 M1.SELLERTAXPRICE AS 税额
93 FROM PRODUCT_DEAL_MAIN_PA M1
94 WHERE m1.sellermksure=2 AND M1.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND TO_DATE('20170802','YYYYMMDD')
95
96
97 )
98 SELECT /*+ monitor */ MA.NO,
99 MA.BSID ,
100 ma.签约标志 AS MA_签约标志,
101 decode(ma.SPFLAG,NULL,'正常',ma.SPFLAG) MA_SPFLAG,
102 ma.含税标志 AS MA_含税标志,
103 ma.应收 MA_应收,
104 MA.实收 MA_实收,
105 MA.税额 MA_税额,
106 DECODE( CS.BSFLAG,1,CS.CS_买_实收,CS.CS_卖_实收) cs_实收,
107 DECODE( CS.BSFLAG,1,CS_买_TAXAFTERPRICE,CS_卖_TAXAFTERPRICE) cs_含税,
108 DECODE(PA.含税标志,NULL,'NULL',PA.含税标志) PA_含税标志,
109 DECODE(PA.应收,NULL,'NULL',PA.应收) PA_应收,
110 DECODE(PA.实收,NULL,'NULL',PA.实收) PA_实收,
111 DECODE(PA.税额,NULL,'NULL',PA.税额) PA_税额
112 FROM MAIN1 MA
113 LEFT JOIN CSPLIT CS
114 ON MA.NO = CS.DEALNO
115 AND MA.BSID = CS.BSFLAG
116 LEFT JOIN PPA PA
117 ON MA.NO = PA.NO AND PA.BSID=MA.BSID
118 -- WHERE cs_实收 IS NULL AND cs_含税 IS NULL
119 ORDER BY MA.NO
120 ;
121
122 --a8646vy7mqm4u--
123 ---select dbms_sqltune.report_sql_monitor from dual;
124
125
126 DECLARE
127
128 my_task_name VARCHAR2(1000);
129 BEGIN
130 my_task_name := DBMS_SQLTUNE.CREATE_TUNING_TASK(
131 SQL_ID => 'a8646vy7mqm4u',
132 scope => 'COMPREHENSIVE',
133 time_limit => 60,
134 task_name => 'tunning_task_a8646vy7mqm4u',
135 description => 'Task to tune a query on ddw7j6yfnw0vz');
136 end ;
137 /
138
139 --3.查看任务名
140 SELECT TASK_NAME FROM DBA_ADVISOR_LOG WHERE OWNER = 'PCISS';
141 --5.查看sql tunning任务状态
142 SELECT status FROM USER_ADVISOR_TASKS WHERE task_name = 'tunning_task_a8646vy7mqm4u';
143 --4.执行sql tuning任务
144 BEGIN
145 DBMS_SQLTUNE.EXECUTE_TUNING_TASK( task_name => 'tunning_task_a8646vy7mqm4u' );
146 END;
147 /
148 --5.查看sql tunning任务状态 --COMPLETED
149 SELECT status FROM USER_ADVISOR_TASKS WHERE task_name = 'tunning_task_a8646vy7mqm4u';
150
151 --6.展示sql tunning结果
152 SET LONG 10000
153 SET LONGCHUNKSIZE 1000
154 SET LINESIZE 100
155 SELECT DBMS_SQLTUNE.REPORT_TUNING_TASK('tunning_task_a8646vy7mqm4u') FROM DUAL;
156 --7.完成后删除sql tunning任务
157 EXEC DBMS_SQLTUNE.DROP_TUNING_TASK('test_sql_tuning');
158
159
160 --8.其他
161 --sql tunning任务创建后，也可以修改参数
162 BEGIN
163 DBMS_SQLTUNE.SET_TUNING_TASK_PARAMETER(
164 task_name => 'test_sql_tuning',
165 parameter => 'TIME_LIMIT', value => 300);
166 END;
167 /
168
169 --查看SQL Tuning Advisor的进展（task执行很久）
170 col opname for a20
171 col ADVISOR_NAME for a20
172 SELECT SID,SERIAL#,USERNAME,OPNAME,ADVISOR_NAME,TARGET_DESC,START_TIME SOFAR, TOTALWORK
173 FROM V$ADVISOR_PROGRESS
174 WHERE USERNAME = 'TEST';----调优计划
1 GENERAL INFORMATION SECTION
2 -------------------------------------------------------------------------------
3 Tuning Task Name : tunning_task_a8646vy7mqm4u
4 Tuning Task Owner : PCISS
5 Workload Type : Single SQL Statement
6 Scope : COMPREHENSIVE
7 Time Limit(seconds): 60
8 Completion Status : COMPLETED
9 Started at : 08/04/2017 13:54:34
10 Completed at : 08/04/2017 13:54:40
11
12 -------------------------------------------------------------------------------
13 Schema Name: PCISS
14 SQL ID : a8646vy7mqm4u
15 SQL Text : /*
16 CREATE TABLE his_product_deal_main0801 AS
17 select * FROM his_product_deal_main m
18 WHERE M.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND
19 TO_DATE('20170802','YYYYMMDD') ;
20 CREATE TABLE his_commision_split0801 AS
21 select * FROM his_base_deal_commision_split s
22 WHERE s.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND
23 TO_DATE('20170802','YYYYMMDD') ;
24 CREATE TABLE product_pa_0801 AS
25 select * FROM product_deal_main_pa pa
26 WHERE pa.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND
27 TO_DATE('20170802','YYYYMMDD') ;
28 SELECT * FROM his_product_deal_main0801 ;
29 SELECT * FROM his_commision_split0801 ;
30 SELECT * FROM product_pa_0801 ;
31 */
32 WITH MAIN1 AS
33 (SELECT 1 bsid ,
34 M1.NO,
35 M1.SELLERNAME,
36 M1.BUYERNAME,
37 M1.BUYERBP,
38 M1.SELLERBP,
39 DECODE(M1.buyerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约')
40 签约标志,
41 DECODE(M1.buyerTAXVARITY, -1, '零税', 0, '含税', 1, '不含税')
42 含税标志,
43 DECODE(m1.BUYERSPFLAG, 0, '', -1, '业务特殊修改', 1,
44 '特殊修改', 2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '')
45 SPFLAG,
46 M1.BUYERFEEPRICERM AS 应收 ,
47 M1.BUYERTAXAFTERPRICE 实收,
48 M1.BUYERTAXPRICE AS 税额
49 FROM V_PRODUCT_DEAL_MAIN M1
50 WHERE m1.STATE =9 AND
51 M1.DEALDATE BETWEEN TO_DATE('20170801','YYYYMMDD') AND
52 TO_DATE('20170802','YYYYMMDD')
53 UNION ALL
54 SELECT 2 bsid ,
55 M1.NO,
56 M1.SELLERNAME,
57 M1.BUYERNAME,
58 M1.BUYERBP,
59 M1.SELLERBP,
60 DECODE(M1.sellerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约')
61 签约标志,
62 DECODE(M1.SELLERTAXVARITY, -1, '零税', 0, '含税', 1, '不含税')
63 含税标志,
64 DECODE(m1.sellERSPFLAG, 0, '', -1, '业务特殊修改', 1, '特殊修改',
65 2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '') SPFLAG,
66 M1.SELLERFEEPRICERM AS 应收,
67 M1.SELLERTAXAFTERPRICE AS 实收,
68 M1.SELLERTAXPRICE AS 税额
69 FROM V_PRODUCT_DEAL_MAIN M1
70 WHERE m1.STATE =9 AND M1.DEALDATE BETWEEN
71 TO_DATE('20170801','YYYYMMDD') AND
72 TO_DATE('20170802','YYYYMMDD')
73 ),
74 CSPLIT AS
75 (
76 SELECT BS.DEALNO,
77 BS.BSFLAG,
78 SUM(DECODE(BS.BSFLAG, 1, BS.AMOUNTCNY)) cs_买_实收,
79 SUM(DECODE(BS.BSFLAG, 1, BS.TAXAFTERPRICE))
80 cs_买_TAXAFTERPRICE,
81 SUM(DECODE(BS.BSFLAG, 2, BS.AMOUNTCNY)) cs_卖_实收,
82 SUM(DECODE(BS.BSFLAG, 2, BS.TAXAFTERPRICE))
83 cs_卖_TAXAFTERPRICE
84 FROM HIS_BASE_DEAL_COMMISION_SPLIT BS
85 WHERE bs.status=0 AND BS.DEALDATE BETWEEN
86 TO_DATE('20170801','YYYYMMDD') AND
87 TO_DATE('20170802','YYYYMMDD')
88 GROUP BY BS.DEALNO, BS.BSFLAG
89 ORDER BY BS.DEALNO
90 ),PPA AS (
91 SELECT 1 bsid ,
92 M1.NO,
93 M1.BUYERNAME,
94 M1.BUYERBP,
95 DECODE(M1.buyerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约')
96 签约标志,
97 DECODE(M1.buyerTAXVARITY, -1, '零税', 0, '含税', 1, '不含税')
98 含税标志,
99 DECODE(m1.buyerSPFLAG, 0, '', -1, '业务特殊修改', 1,
100 '特殊修改', 2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '')
101 SPFLAG,
102 M1.BUYERFEEPRICERM AS 应收 ,
103 M1.BUYERTAXAFTERPRICE 实收,
104 M1.BUYERTAXPRICE AS 税额
105 FROM PRODUCT_DEAL_MAIN_PA M1
106 WHERE m1.buyermksure=2 AND M1.DEALDATE BETWEEN
107 TO_DATE('20170801','YYYYMMDD') AND
108 TO_DATE('20170802','YYYYMMDD')
109 UNION
110 SELECT 2 bsid ,
111 M1.NO,
112 M1.SELLERNAME,
113 M1.SELLERBP,
114 DECODE(M1.sellerMKSURE, 0, '没有签约', 1, '已经签约', 2, '预签约')
115 签约标志,
116 DECODE(M1.SELLERTAXVARITY, -1, '零税', 0, '含税', 1, '不含税')
117 含税标志,
118 DECODE(m1.sellerSPFLAG, 0, '', -1, '业务特殊修改', 1, '特殊修改',
119 2, 'bridge', 3, '单笔签约', 4, '预估未收', 5, '预估bridge', '') SPFLAG,
120 M1.SELLERFEEPRICERM AS 应收,
121 M1.SELLERTAXAFTERPRICE AS 实收,
122 M1.SELLERTAXPRICE AS 税额
123 FROM PRODUCT_DEAL_MAIN_PA M1
124 WHERE m1.sellermksure=2 AND M1.DEALDATE BETWEEN
125 TO_DATE('20170801','YYYYMMDD') AND
126 TO_DATE('20170802','YYYYMMDD')
127 )
128 SELECT /*+ monitor */ MA.NO,
129 MA.BSID ,
130 ma.签约标志 AS MA_签约标志,
131 decode(ma.SPFLAG,NULL,'正常',ma.SPFLAG) MA_SPFLAG,
132 ma.含税标志 AS MA_含税标志,
133 ma.应收 MA_应收,
134 MA.实收 MA_实收,
135 MA.税额 MA_税额,
136 DECODE( CS.BSFLAG,1,CS.CS_买_实收,CS.CS_卖_实收) cs_实收,
137 DECODE( CS.BSFLAG,1,CS_买_TAXAFTERPRICE,CS_卖_TAXAFTERPRICE)
138 cs_含税,
139 DECODE(PA.含税标志,NULL,'NULL',PA.含税标志) PA_含税标志,
140 DECODE(PA.应收,NULL,'NULL',PA.应收) PA_应收,
141 DECODE(PA.实收,NULL,'NULL',PA.实收) PA_实收,
142 DECODE(PA.税额,NULL,'NULL',PA.税额) PA_税额
143 FROM MAIN1 MA
144 LEFT JOIN CSPLIT CS
145 ON MA.NO = CS.DEALNO
146 AND MA.BSID = CS.BSFLAG
147 LEFT JOIN PPA PA
148 ON MA.NO = PA.NO AND PA.BSID=MA.BSID
149 -- WHERE cs_实收 IS NULL AND cs_含税 IS NULL
150 ORDER BY MA.NO
151
152 -------------------------------------------------------------------------------
153 FINDINGS SECTION (2 findings)
154 -------------------------------------------------------------------------------
155
156 1- Index Finding (see explain plans section below)
157 --------------------------------------------------
158 通过创建一个或多个索引可以改进此语句的执行计划。
159
160 Recommendation (estimated benefit: 90.53%)
161 ------------------------------------------
162 - 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。
163 create index PCISS.IDX$$_67460001 on PCISS.PRODUCT_DEAL_MAIN_PA("BUYERMKSUR
164 E","DEALDATE");
165
166 - 考虑运行可以改进物理方案设计的访问指导或者创建推荐的索引。
167 create index PCISS.IDX$$_67460002 on PCISS.PRODUCT_DEAL_MAIN_PA("SELLERMKSU
168 RE","DEALDATE");
169
170 - 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。
171 create index PCISS.IDX$$_67460003 on PCISS.HIS_BASE_DEAL_COMMISION_SPLIT(TO
172 _NUMBER("STATUS"),"DEALDATE");
173
174 Rationale
175 ---------
176 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"
177 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。
178
179 2- Alternative Plan Finding
180 ---------------------------
181 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。
182
183 The following table lists these plans ranked by their average elapsed time.
184 See section "ALTERNATIVE PLANS SECTION" for detailed information on each
185 plan.
186
187 id plan hash last seen elapsed (s) origin note
188 -- ---------- -------------------- ------------ --------------- ----------------
189 1 2571851218 2017-08-04/13:27:59 0.185 Cursor Cache
190 2 2840591098 2017-08-04/13:25:14 0.196 Cursor Cache original plan
191
192 Recommendation
193 --------------
194 - 请考虑使用最佳平均用时为计划创建 SQL 计划基线。
195 execute dbms_sqltune.create_sql_plan_baseline(task_name =>
196 'tunning_task_a8646vy7mqm4u', owner_name => 'PCISS',
197 plan_hash_value => 2571851218);
198
199 -------------------------------------------------------------------------------
200 ADDITIONAL INFORMATION SECTION
201 -------------------------------------------------------------------------------
202 - 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"
203 或 "UPDATE", 并且父查询为此语句中的顶级查询。.
204
205 -------------------------------------------------------------------------------
206 EXPLAIN PLANS SECTION
207 -------------------------------------------------------------------------------
208
209 1- Original
210 -----------
211 Plan hash value: 2840591098
212
213 --------------------------------------------------------------------------------------------------------------------
214 | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
215 --------------------------------------------------------------------------------------------------------------------
216 | 0 | SELECT STATEMENT | | 920 | 192K| 8188 (1)| 00:01:39 |
217 | 1 | SORT ORDER BY | | 920 | 192K| 8188 (1)| 00:01:39 |
218 |* 2 | HASH JOIN RIGHT OUTER | | 920 | 192K| 8187 (1)| 00:01:39 |
219 | 3 | VIEW | | 2 | 128 | 118 (2)| 00:00:02 |
220 | 4 | SORT UNIQUE | | 2 | 153 | 118 (51)| 00:00:02 |
221 | 5 | UNION-ALL | | | | | |
222 |* 6 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 77 | 58 (0)| 00:00:01 |
223 |* 7 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 76 | 58 (0)| 00:00:01 |
224 |* 8 | HASH JOIN OUTER | | 920 | 134K| 8068 (1)| 00:01:37 |
225 | 9 | VIEW | | 920 | 71760 | 198 (0)| 00:00:03 |
226 | 10 | UNION-ALL | | | | | |
227 | 11 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
228 | 12 | UNION-ALL | | | | | |
229 |* 13 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
230 |* 14 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
231 |* 15 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
232 | 16 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
233 | 17 | UNION-ALL | | | | | |
234 |* 18 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
235 |* 19 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
236 |* 20 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
237 | 21 | VIEW | | 1327 | 95544 | 7870 (1)| 00:01:35 |
238 | 22 | SORT GROUP BY | | 1327 | 50426 | 7870 (1)| 00:01:35 |
239 |* 23 | TABLE ACCESS FULL | HIS_BASE_DEAL_COMMISION_SPLIT | 1327 | 50426 | 7869 (1)| 00:01:35 |
240 --------------------------------------------------------------------------------------------------------------------
241
242 Predicate Information (identified by operation id):
243 ---------------------------------------------------
244
245 2 - access("PA"."BSID"(+)="MA"."BSID" AND "MA"."NO"="PA"."NO"(+))
246 6 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
247 "M1"."BUYERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
248 7 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
249 "M1"."SELLERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
250 8 - access("MA"."BSID"=TO_NUMBER("CS"."BSFLAG"(+)) AND "MA"."NO"="CS"."DEALNO"(+))
251 13 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
252 AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
253 14 - filter("B"."STATE"=9)
254 15 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
255 "B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
256 18 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
257 AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
258 19 - filter("B"."STATE"=9)
259 20 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
260 "B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
261 23 - filter("BS"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
262 TO_NUMBER("BS"."STATUS")=0 AND "BS"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
263
264 2- Using New Indices
265 --------------------
266 Plan hash value: 1939776337
267
268 --------------------------------------------------------------------------------------------------------------------
269 | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
270 --------------------------------------------------------------------------------------------------------------------
271 | 0 | SELECT STATEMENT | | 920 | 192K| 775 (1)| 00:00:10 |
272 | 1 | SORT ORDER BY | | 920 | 192K| 775 (1)| 00:00:10 |
273 |* 2 | HASH JOIN RIGHT OUTER | | 920 | 192K| 774 (1)| 00:00:10 |
274 | 3 | VIEW | | 2 | 128 | 6 (34)| 00:00:01 |
275 | 4 | SORT UNIQUE | | 2 | 153 | 6 (67)| 00:00:01 |
276 | 5 | UNION-ALL | | | | | |
277 | 6 | TABLE ACCESS BY INDEX ROWID | PRODUCT_DEAL_MAIN_PA | 1 | 77 | 2 (0)| 00:00:01 |
278 |* 7 | INDEX RANGE SCAN | IDX$$_67460001 | 1 | | 1 (0)| 00:00:01 |
279 | 8 | TABLE ACCESS BY INDEX ROWID | PRODUCT_DEAL_MAIN_PA | 1 | 76 | 2 (0)| 00:00:01 |
280 |* 9 | INDEX RANGE SCAN | IDX$$_67460002 | 1 | | 1 (0)| 00:00:01 |
281 |* 10 | HASH JOIN OUTER | | 920 | 134K| 768 (1)| 00:00:10 |
282 | 11 | VIEW | | 920 | 71760 | 198 (0)| 00:00:03 |
283 | 12 | UNION-ALL | | | | | |
284 | 13 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
285 | 14 | UNION-ALL | | | | | |
286 |* 15 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
287 |* 16 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
288 |* 17 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
289 | 18 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
290 | 19 | UNION-ALL | | | | | |
291 |* 20 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
292 |* 21 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
293 |* 22 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
294 | 23 | VIEW | | 1327 | 95544 | 569 (1)| 00:00:07 |
295 | 24 | SORT GROUP BY | | 1327 | 50426 | 569 (1)| 00:00:07 |
296 | 25 | TABLE ACCESS BY INDEX ROWID | HIS_BASE_DEAL_COMMISION_SPLIT | 1327 | 50426 | 568 (0)| 00:00:07 |
297 |* 26 | INDEX RANGE SCAN | IDX$$_67460003 | 1323 | | 7 (0)| 00:00:01 |
298 --------------------------------------------------------------------------------------------------------------------
299
300 Predicate Information (identified by operation id):
301 ---------------------------------------------------
302
303 2 - access("PA"."BSID"(+)="MA"."BSID" AND "MA"."NO"="PA"."NO"(+))
304 7 - access("M1"."BUYERMKSURE"=2 AND "M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd
305 hh24:mi:ss') AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
306 9 - access("M1"."SELLERMKSURE"=2 AND "M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd
307 hh24:mi:ss') AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
308 10 - access("MA"."BSID"=TO_NUMBER("CS"."BSFLAG"(+)) AND "MA"."NO"="CS"."DEALNO"(+))
309 15 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
310 AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
311 16 - filter("B"."STATE"=9)
312 17 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
313 "B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
314 20 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
315 AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
316 21 - filter("B"."STATE"=9)
317 22 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
318 "B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
319 26 - access("HIS_BASE_DEAL_COMMISION_SPLIT".<not feasible>)
320
321 -------------------------------------------------------------------------------
322 ALTERNATIVE PLANS SECTION
323 -------------------------------------------------------------------------------
324
325 Plan 1
326 ------
327
328 Plan Origin :Cursor Cache
329 Plan Hash Value :2571851218
330 Executions :2
331 Elapsed Time :0.185 sec
332 CPU Time :0.184 sec
333 Buffer Gets :29579
334 Disk Reads :28965
335 Disk Writes :0
336
337 Notes:
338 1. Statistics shown are averaged over multiple executions.
339
340 --------------------------------------------------------------------------------------------------------------------
341 | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
342 --------------------------------------------------------------------------------------------------------------------
343 | 0 | SELECT STATEMENT | | 920 | 192K| 8188 (1)| 00:01:39 |
344 | 1 | SORT ORDER BY | | 920 | 192K| 8188 (1)| 00:01:39 |
345 |* 2 | HASH JOIN OUTER | | 920 | 192K| 8187 (1)| 00:01:39 |
346 |* 3 | HASH JOIN OUTER | | 920 | 127K| 317 (1)| 00:00:04 |
347 | 4 | VIEW | | 920 | 71760 | 198 (0)| 00:00:03 |
348 | 5 | UNION-ALL | | | | | |
349 | 6 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
350 | 7 | UNION-ALL | | | | | |
351 |* 8 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
352 |* 9 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
353 |* 10 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
354 | 11 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
355 | 12 | UNION-ALL | | | | | |
356 |* 13 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
357 |* 14 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
358 |* 15 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
359 | 16 | VIEW | | 2 | 128 | 118 (2)| 00:00:02 |
360 | 17 | SORT UNIQUE | | 2 | 153 | 118 (51)| 00:00:02 |
361 | 18 | UNION-ALL | | | | | |
362 |* 19 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 77 | 58 (0)| 00:00:01 |
363 |* 20 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 76 | 58 (0)| 00:00:01 |
364 | 21 | VIEW | | 1327 | 95544 | 7870 (1)| 00:01:35 |
365 | 22 | SORT GROUP BY | | 1327 | 50426 | 7870 (1)| 00:01:35 |
366 |* 23 | TABLE ACCESS FULL | HIS_BASE_DEAL_COMMISION_SPLIT | 1327 | 50426 | 7869 (1)| 00:01:35 |
367 --------------------------------------------------------------------------------------------------------------------
368
369 Predicate Information (identified by operation id):
370 ---------------------------------------------------
371
372 2 - access("MA"."BSID"=TO_NUMBER("CS"."BSFLAG"(+)) AND "MA"."NO"="CS"."DEALNO"(+))
373 3 - access("PA"."BSID"(+)="MA"."BSID" AND "MA"."NO"="PA"."NO"(+))
374 8 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
375 AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
376 9 - filter("B"."STATE"=9)
377 10 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
378 "B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
379 13 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
380 AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
381 14 - filter("B"."STATE"=9)
382 15 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
383 "B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
384 19 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
385 "M1"."BUYERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
386 20 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
387 "M1"."SELLERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
388 23 - filter("BS"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
389 TO_NUMBER("BS"."STATUS")=0 AND "BS"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
390
391 Plan 2
392 ------
393
394 Plan Origin :Cursor Cache
395 Plan Hash Value :2840591098
396 Executions :1
397 Elapsed Time :0.196 sec
398 CPU Time :0.195 sec
399 Buffer Gets :29585
400 Disk Reads :28965
401 Disk Writes :0
402
403 Notes:
404 1. Statistics shown are averaged over multiple executions.
405 2. The plan matches the original plan.
406
407 --------------------------------------------------------------------------------------------------------------------
408 | Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
409 --------------------------------------------------------------------------------------------------------------------
410 | 0 | SELECT STATEMENT | | 920 | 192K| 8188 (1)| 00:01:39 |
411 | 1 | SORT ORDER BY | | 920 | 192K| 8188 (1)| 00:01:39 |
412 |* 2 | HASH JOIN RIGHT OUTER | | 920 | 192K| 8187 (1)| 00:01:39 |
413 | 3 | VIEW | | 2 | 128 | 118 (2)| 00:00:02 |
414 | 4 | SORT UNIQUE | | 2 | 153 | 118 (51)| 00:00:02 |
415 | 5 | UNION-ALL | | | | | |
416 |* 6 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 77 | 58 (0)| 00:00:01 |
417 |* 7 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN_PA | 1 | 76 | 58 (0)| 00:00:01 |
418 |* 8 | HASH JOIN OUTER | | 920 | 134K| 8068 (1)| 00:01:37 |
419 | 9 | VIEW | | 920 | 71760 | 198 (0)| 00:00:03 |
420 | 10 | UNION-ALL | | | | | |
421 | 11 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
422 | 12 | UNION-ALL | | | | | |
423 |* 13 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
424 |* 14 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
425 |* 15 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
426 | 16 | VIEW | V_PRODUCT_DEAL_MAIN | 460 | 53820 | 99 (0)| 00:00:02 |
427 | 17 | UNION-ALL | | | | | |
428 |* 18 | TABLE ACCESS FULL | PRODUCT_DEAL_MAIN | 1 | 50 | 20 (0)| 00:00:01 |
429 |* 19 | TABLE ACCESS BY INDEX ROWID| HIS_PRODUCT_DEAL_MAIN | 459 | 23409 | 79 (0)| 00:00:01 |
430 |* 20 | INDEX RANGE SCAN | PK_MAIN_DEALDATE | 461 | | 4 (0)| 00:00:01 |
431 | 21 | VIEW | | 1327 | 95544 | 7870 (1)| 00:01:35 |
432 | 22 | SORT GROUP BY | | 1327 | 50426 | 7870 (1)| 00:01:35 |
433 |* 23 | TABLE ACCESS FULL | HIS_BASE_DEAL_COMMISION_SPLIT | 1327 | 50426 | 7869 (1)| 00:01:35 |
434 --------------------------------------------------------------------------------------------------------------------
435
436 Predicate Information (identified by operation id):
437 ---------------------------------------------------
438
439 2 - access("PA"."BSID"(+)="MA"."BSID" AND "MA"."NO"="PA"."NO"(+))
440 6 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
441 "M1"."BUYERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
442 7 - filter("M1"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
443 "M1"."SELLERMKSURE"=2 AND "M1"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
444 8 - access("MA"."BSID"=TO_NUMBER("CS"."BSFLAG"(+)) AND "MA"."NO"="CS"."DEALNO"(+))
445 13 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
446 AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
447 14 - filter("B"."STATE"=9)
448 15 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
449 "B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
450 18 - filter("A"."STATE"=9 AND "A"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss')
451 AND "A"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
452 19 - filter("B"."STATE"=9)
453 20 - access("B"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
454 "B"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
455 23 - filter("BS"."DEALDATE">=TO_DATE(' 2017-08-01 00:00:00', 'syyyy-mm-dd hh24:mi:ss') AND
456 TO_NUMBER("BS"."STATUS")=0 AND "BS"."DEALDATE"<=TO_DATE(' 2017-08-02 00:00:00', 'syyyy-mm-dd hh24:mi:ss'))
457
458 -------------------------------------------------------------------------------View Code
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
- 如何使用oracle 的DBMS_SQLTUNE package 来运行 Sql Tuning Advisor 进行sql 自动调优
- HINT /*+ monitor */和 dbms_sqltune.report_sql_monitor连用
- 怎样使用oracle 的DBMS_SQLTUNE package 来执行 Sql Tuning Advisor 进行sql 自己主动调优
- 怎样使用oracle 的DBMS_SQLTUNE package 来执行 Sql Tuning Advisor 进行sql 自己主动调优
- Real-Time SQL Monitoring using DBMS_SQLTUNE (REPORT_SQL_MONITOR, REPORT_SQL_MONITOR_LIST and REPORT_
- SQL自动调优
- Oracle SQL 自动调优
- 使用DBMS_MONITOR跟踪SQL
- 利用DBMS_SQLTUNE优化SQL
- 自动sql调优（automatic tuning）中的 SQL_profile完整例子
- 12 SQL自动调优
- 使用DBMS_MONITOR跟踪SQL
- 11g新特性-自动sql调优(Automatic SQL Tuning)
- 轨道sql谈话 dbms_monitor
- dbms_sqltune.extract_bind查询绑定变量的值
- SQL Tune Report–sqltrpt.sql
- dbms_sqltune.accept_sql_profile 中force_match的作用
- 华丽丽的SQL报告：SQL Monitor Report
- 追踪sql会话 dbms_monitor
- 使用sqltrpt自动调优sql。