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

可以运行的Oracle Advanced Queue的例子
通过查阅网上文章,发现很多Advanced Queue的例子无法跑起来. 参考了英文网站,可以正常运行成功. http://www.orafaq.com/wiki/Advanced_Queueing ...
如何看数据库是否处在force_logging模式下
SQL> select log_mode, force_logging from v$database; LOG_MODE FOR------------ ---ARCHIVELOG ...
2 CRM 讲师与学生，highcharts应用
一.讲师与学生简介 1 初始化 course_record,studyrecord, 2 考勤 3 录入成绩 4 显示成绩 ajax 查询 5 上传作业(os模块) 6 下载作业二. 初始化 ,st ...
2555: SubString
2555: SubString 链接题意: 动态在末尾加入一个字符串,询问一个字符串出现了多少次. 分析: 如果没有动态加入,那么建出SAM后,求出parent树上,每个点|Right|,然后走一遍 ...
SSIS 数据流优化
一,数据流设计优化数据流有两个特性:流和在内存缓冲区中处理数据,根据数据流的这两个特性,对数据流进行优化. 1,流,同时对数据进行提取,转换和加载操作流,就是在source提取数据时,转换组件处理 ...
fortran shapefile学习
试图编写一个fortran程序,用以判断给定的点是否落在给定shapefile的范围内. 需要利用到FortranGIS库 ,而该库又依赖于Shapefile C Library 安装shapelib ...
Docker创建数据卷容器
docker create --name test_4 -v /data_4 nginx创建一个test_4数据卷容器,在该容器的/data_4目录挂载数据卷使用数据卷容器时,无须保证数据卷容器处于 ...
Jenkins自动化测试
Jenkins自动化测试一个持续集成的基本原则是构建应该是可验证的.你必须能够客观地确定一个特定的构建是否准备就绪构建过程的下一个阶段,最便捷的方式做到这一点是使用自动化测试.如果没有适当的自动化测 ...
lua栈
既然Lua虚拟机模拟的是CPU的运作,那么Lua栈模拟的就是内存的角色.在Lua内部,参数的传递是通过Lua栈,同时Lua与C等外部进行交互的时候也是使用的栈.,先关注的是Lua栈的分配,管理和相关的 ...
javascript实现对html便签等字符的转义
参考链接:https://www.jb51.net/article/152700.htm 请访问以上链接. 本人纯搬迁,防止原作者删除. <script> var HtmlUtil = { ...

dbms_sqltune.report_sql_monitor 自动调优

dbms_sqltune.report_sql_monitor 自动调优的更多相关文章

随机推荐

热门专题