下面是在awr报告里面看到的有问题的sql，是9个变量的，在应用前台属于关联查询，在sqlplus里面手工执行检查实际执行情况如下：
SELECT /*+ GATHER_PLAN_STATISTICS */ *
FROM SAMS_CHECKINOUT sc
INNER JOIN (
SELECT badgenumber,NAME,deptid
FROM SAMS_USERINFO
UNION
SELECT badgenumber
,NAME
,deptid
FROM SAMS_USERINFO_DIMISSION sd
WHERE 1 = 1
AND sd.deptid IN (
SELECT Deptid
FROM SAMS_DEPARTMENTS T2 start WITH T2.Deptid = '360710' connect BY prior T2.DEPTID = T2.SUPDEPTID
)
) su ON su.badgenumber = sc.badgenumber
INNER JOIN SAMS_DEPARTMENTS sd ON sd.deptid = su.deptid
LEFT JOIN SAMS_ICLOCK sl ON sl.sn = sc.sn
WHERE 1 = 1
AND sc.checktime >= to_date('2017-03-01', 'yyyy-MM-dd')
AND sc.checktime <= to_date('2017-03-22', 'yyyy-MM-dd') + 1
AND sd.deptid IN (
SELECT Deptid
FROM SAMS_DEPARTMENTS T2 start WITH T2.Deptid = '360710' connect BY prior T2.DEPTID = T2.SUPDEPTID
)
AND (
su.badgenumber = '36071000000600'
OR su.NAME LIKE '%36071000000600%'
OR sl.sn = '36071000000600'
)
ORDER BY sc.checktime,su.NAME DESC;
/*+ GATHER_PLAN_STATISTICS */
SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(NULL, NULL, 'IOSTATS'));
-------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads |
-------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 2 | | 16 |00:00:22.70 | 18614 | 2897 |
| 1 | SORT ORDER BY | | 2 | 40 | 16 |00:00:22.70 | 18614 | 2897 |
|* 2 | FILTER | | 2 | | 16 |00:00:22.67 | 18614 | 2897 |
|* 3 | HASH JOIN OUTER | | 2 | 40 | 10826 |00:00:22.53 | 18614 | 2897 |
| 4 | NESTED LOOPS | | 2 | 802 | 10826 |00:00:17.98 | 15790 | 2897 |
| 5 | NESTED LOOPS | | 2 | 1472 | 11598 |00:00:00.08 | 4216 | 45 |
| 6 | NESTED LOOPS | | 2 | 92 | 2304 |00:00:00.04 | 666 | 8 |
| 7 | NESTED LOOPS | | 2 | 3 | 38 |00:00:00.01 | 84 | 0 |
| 8 | VIEW | VW_NSO_2 | 2 | 3 | 38 |00:00:00.01 | 28 | 0 |
| 9 | HASH UNIQUE | | 2 | 3 | 38 |00:00:00.01 | 28 | 0 |
|* 10 | CONNECT BY WITH FILTERING (UNIQUE) | | 2 | | 38 |00:00:00.01 | 28 | 0 |
| 11 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 1 | 2 |00:00:00.01 | 6 | 0 |
|* 12 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 2 | 1 | 2 |00:00:00.01 | 4 | 0 |
| 13 | NESTED LOOPS | | 6 | 2 | 36 |00:00:00.01 | 22 | 0 |
| 14 | CONNECT BY PUMP | | 6 | | 38 |00:00:00.01 | 0 | 0 |
| 15 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 38 | 2 | 36 |00:00:00.01 | 22 | 0 |
|* 16 | INDEX RANGE SCAN | SUPDEPTID_IDX | 38 | 2 | 36 |00:00:00.01 | 18 | 0 |
| 17 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 38 | 1 | 38 |00:00:00.01 | 56 | 0 |
|* 18 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 38 | 1 | 38 |00:00:00.01 | 18 | 0 |
| 19 | VIEW | | 38 | 31 | 2304 |00:00:00.11 | 582 | 8 |
| 20 | SORT UNIQUE | | 38 | | 2304 |00:00:00.11 | 582 | 8 |
| 21 | UNION-ALL PARTITION | | 38 | | 2304 |00:00:00.02 | 582 | 8 |
|* 22 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 38 | 68 | 1368 |00:00:00.01 | 168 | 0 |
|* 23 | HASH JOIN | | 38 | 3 | 936 |00:00:00.07 | 414 | 8 |
|* 24 | VIEW | VW_NSO_1 | 38 | 3 | 38 |00:00:00.01 | 288 | 0 |
| 25 | SORT UNIQUE | | 38 | 3 | 722 |00:00:00.01 | 288 | 0 |
|* 26 | CONNECT BY WITH FILTERING (UNIQUE)| | 38 | | 722 |00:00:00.01 | 288 | 0 |
| 27 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 38 | 1 | 38 |00:00:00.01 | 86 | 0 |
|* 28 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 38 | 1 | 38 |00:00:00.01 | 48 | 0 |
| 29 | NESTED LOOPS | | 114 | 2 | 684 |00:00:00.01 | 202 | 0 |
| 30 | CONNECT BY PUMP | | 114 | | 722 |00:00:00.01 | 0 | 0 |
| 31 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 722 | 2 | 684 |00:00:00.01 | 202 | 0 |
|* 32 | INDEX RANGE SCAN | SUPDEPTID_IDX | 722 | 2 | 684 |00:00:00.01 | 126 | 0 |
|* 33 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 38 | 44 | 936 |00:00:00.06 | 126 | 8 |
|* 34 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 2304 | 16 | 11598 |00:00:00.27 | 3550 | 37 |
|* 35 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 11598 | 9 | 10826 |00:00:22.08 | 11574 | 2852 |
| 36 | TABLE ACCESS FULL | SAMS_ICLOCK | 2 | 6306 | 12624 |00:00:00.08 | 2824 | 0 |
-------------------------------------------------------------------------------------------------------------------------------------------------
下面是查询到的绑定变量值，可以通过查看v$sql_bind_capture视图来查看变量的实际值，如果时间比较久，可以使用如下的语句查看历史的绑定变量信息
:1 360710 VARCHAR2(32) 23-MAR-17
:2 2017-03-01 VARCHAR2(32) 23-MAR-17
:3 2017-03-23 VARCHAR2(32) 23-MAR-17
:4 360710 VARCHAR2(32) 23-MAR-17
:5 36071000000600 VARCHAR2(32) 23-MAR-17
:6 %36071000000600% VARCHAR2(32) 23-MAR-17
:7 36071000000600 VARCHAR2(32) 23-MAR-17
:8 10 NUMBER 23-MAR-17
:9 0 NUMBER 23-MAR-17
select NAME,VALUE_STRING,DATATYPE_STRING,LAST_CAPTURED from dba_hist_sqlbind where sql_id='99vaabs5ptktb' and LAST_CAPTURED between
to_date('2017-03-23 09:00:00','yyyy-mm-dd hh24:mi:ss') and to_date('2017-03-23 12:00:00','yyyy-mm-dd hh24:mi:ss');
以下是开启了autotrace 选项跟踪的手工执行情况，从执行效率上看是没有问题的。
---------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
---------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 40 | 24280 | 1315 (1)| 00:00:16 | | |
| 1 | SORT ORDER BY | | 40 | 24280 | 1315 (1)| 00:00:16 | | |
|* 2 | FILTER | | | | | | | |
|* 3 | HASH JOIN OUTER | | 40 | 24280 | 1314 (1)| 00:00:16 | | |
| 4 | NESTED LOOPS | | 802 | 263K| 1231 (1)| 00:00:15 | | |
| 5 | NESTED LOOPS | | 1472 | 263K| 1231 (1)| 00:00:15 | | |
| 6 | NESTED LOOPS | | 92 | 18860 | 104 (1)| 00:00:02 | | |
| 7 | NESTED LOOPS | | 3 | 432 | 10 (10)| 00:00:01 | | |
| 8 | VIEW | VW_NSO_2 | 3 | 66 | 7 (15)| 00:00:01 | | |
| 9 | HASH UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 10 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | |
| 11 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 12 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 13 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 14 | CONNECT BY PUMP | | | | | | | |
| 15 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 16 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
| 17 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 122 | 1 (0)| 00:00:01 | | |
|* 18 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 0 (0)| 00:00:01 | | |
| 19 | VIEW | | 31 | 1891 | 60 (0)| 00:00:01 | | |
| 20 | UNION-ALL PARTITION | | | | | | | |
|* 21 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 68 | 4148 | 4 (0)| 00:00:01 | | |
|* 22 | HASH JOIN | | 3 | 309 | 10 (10)| 00:00:01 | | |
|* 23 | VIEW | VW_NSO_1 | 3 | 126 | 7 (15)| 00:00:01 | | |
| 24 | SORT UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 25 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | |
| 26 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 27 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 28 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 29 | CONNECT BY PUMP | | | | | | | |
| 30 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 31 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
|* 32 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 44 | 2684 | 3 (0)| 00:00:01 | | |
|* 33 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 16 | | 3 (0)| 00:00:01 | | |
|* 34 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 9 | 1179 | 19 (0)| 00:00:01 | ROWID | ROWID |
| 35 | TABLE ACCESS FULL | SAMS_ICLOCK | 6306 | 1668K| 83 (0)| 00:00:02 | | |
---------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter("SU"."BADGENUMBER"=U'36071000000600' OR "SU"."NAME" LIKE U'%36071000000600%' AND "SU"."NAME" IS NOT NULL AND
"SU"."NAME" IS NOT NULL OR "SL"."SN"=U'36071000000600')
3 - access("SL"."SN"(+)="SC"."SN")
10 - access("T2"."SUPDEPTID"=PRIOR "T2"."DEPTID")
12 - access("T2"."DEPTID"=U'360710')
16 - access("connect$_by$_pump$_017"."prior T2.DEPTID "="T2"."SUPDEPTID")
18 - access("SD"."DEPTID"="DEPTID")
21 - access("DEPTID"="SD"."DEPTID")
22 - access("SD"."DEPTID"="DEPTID")
23 - filter("DEPTID"="SD"."DEPTID")
25 - access("T2"."SUPDEPTID"=PRIOR "T2"."DEPTID")
27 - access("T2"."DEPTID"=U'360710')
31 - access("connect$_by$_pump$_006"."prior T2.DEPTID "="T2"."SUPDEPTID")
32 - access("DEPTID"="SD"."DEPTID")
33 - access("SU"."BADGENUMBER"="SC"."BADGENUMBER")
34 - filter("SC"."CHECKTIME">=TIMESTAMP' 2017-03-01 00:00:00' AND "SC"."CHECKTIME"<=TIMESTAMP' 2017-03-24 00:00:00')
Statistics
----------------------------------------------------------
1 recursive calls
0 db block gets
8938 consistent gets
2467 physical reads
0 redo size
7901 bytes sent via SQL*Net to client
520 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
120 sorts (memory)
0 sorts (disk)
8 rows processed
从执行计划和表的数据量等方面判断如果sql的开销有问题，应该出现在表SAMS_CHECKINOUT上面，下面检查该表上面索引的创建语句看是否有问题
CREATE INDEX "SAMS"."IDX_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("BADGENUMBER")
CREATE INDEX "SAMS"."IDX1_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("CHECKTIME", "BADGENUMBER", "ID")
CREATE INDEX "SAMS"."INDEX_SN_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("SN")
CREATE INDEX "SAMS"."IDX2_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("PROV_BRANCH_CODE")
CREATE INDEX "SAMS"."IDX3_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" (TO_CHAR("CHECKTIME",'YYYY-MM'), "BADGENUMBER")
CREATE INDEX "SAMS"."IDX4_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("PROV_BRANCH_CODE", "BADGENUMBER", "CHECKTIME")
下面是在awr报告里面看到的有问题的sql，是9个变量的，在应用前台属于关联查询，在sqlplus里面手工执行检查实际执行情况如下：
SELECT /*+ GATHER_PLAN_STATISTICS */ *
FROM SAMS_CHECKINOUT sc
INNER JOIN (
SELECT badgenumber,NAME,deptid
FROM SAMS_USERINFO
UNION
SELECT badgenumber
,NAME
,deptid
FROM SAMS_USERINFO_DIMISSION sd
WHERE 1 = 1
AND sd.deptid IN (
SELECT Deptid
FROM SAMS_DEPARTMENTS T2 start WITH T2.Deptid = '360710' connect BY prior T2.DEPTID = T2.SUPDEPTID
)
) su ON su.badgenumber = sc.badgenumber
INNER JOIN SAMS_DEPARTMENTS sd ON sd.deptid = su.deptid
LEFT JOIN SAMS_ICLOCK sl ON sl.sn = sc.sn
WHERE 1 = 1
AND sc.checktime >= to_date('2017-03-01', 'yyyy-MM-dd')
AND sc.checktime <= to_date('2017-03-22', 'yyyy-MM-dd') + 1
AND sd.deptid IN (
SELECT Deptid
FROM SAMS_DEPARTMENTS T2 start WITH T2.Deptid = '360710' connect BY prior T2.DEPTID = T2.SUPDEPTID
)
AND (
su.badgenumber = '36071000000600'
OR su.NAME LIKE '%36071000000600%'
OR sl.sn = '36071000000600'
)
ORDER BY sc.checktime,su.NAME DESC;
/*+ GATHER_PLAN_STATISTICS */
SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY_CURSOR(NULL, NULL, 'IOSTATS'));
-------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads |
-------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 2 | | 16 |00:00:22.70 | 18614 | 2897 |
| 1 | SORT ORDER BY | | 2 | 40 | 16 |00:00:22.70 | 18614 | 2897 |
|* 2 | FILTER | | 2 | | 16 |00:00:22.67 | 18614 | 2897 |
|* 3 | HASH JOIN OUTER | | 2 | 40 | 10826 |00:00:22.53 | 18614 | 2897 |
| 4 | NESTED LOOPS | | 2 | 802 | 10826 |00:00:17.98 | 15790 | 2897 |
| 5 | NESTED LOOPS | | 2 | 1472 | 11598 |00:00:00.08 | 4216 | 45 |
| 6 | NESTED LOOPS | | 2 | 92 | 2304 |00:00:00.04 | 666 | 8 |
| 7 | NESTED LOOPS | | 2 | 3 | 38 |00:00:00.01 | 84 | 0 |
| 8 | VIEW | VW_NSO_2 | 2 | 3 | 38 |00:00:00.01 | 28 | 0 |
| 9 | HASH UNIQUE | | 2 | 3 | 38 |00:00:00.01 | 28 | 0 |
|* 10 | CONNECT BY WITH FILTERING (UNIQUE) | | 2 | | 38 |00:00:00.01 | 28 | 0 |
| 11 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 1 | 2 |00:00:00.01 | 6 | 0 |
|* 12 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 2 | 1 | 2 |00:00:00.01 | 4 | 0 |
| 13 | NESTED LOOPS | | 6 | 2 | 36 |00:00:00.01 | 22 | 0 |
| 14 | CONNECT BY PUMP | | 6 | | 38 |00:00:00.01 | 0 | 0 |
| 15 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 38 | 2 | 36 |00:00:00.01 | 22 | 0 |
|* 16 | INDEX RANGE SCAN | SUPDEPTID_IDX | 38 | 2 | 36 |00:00:00.01 | 18 | 0 |
| 17 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 38 | 1 | 38 |00:00:00.01 | 56 | 0 |
|* 18 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 38 | 1 | 38 |00:00:00.01 | 18 | 0 |
| 19 | VIEW | | 38 | 31 | 2304 |00:00:00.11 | 582 | 8 |
| 20 | SORT UNIQUE | | 38 | | 2304 |00:00:00.11 | 582 | 8 |
| 21 | UNION-ALL PARTITION | | 38 | | 2304 |00:00:00.02 | 582 | 8 |
|* 22 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 38 | 68 | 1368 |00:00:00.01 | 168 | 0 |
|* 23 | HASH JOIN | | 38 | 3 | 936 |00:00:00.07 | 414 | 8 |
|* 24 | VIEW | VW_NSO_1 | 38 | 3 | 38 |00:00:00.01 | 288 | 0 |
| 25 | SORT UNIQUE | | 38 | 3 | 722 |00:00:00.01 | 288 | 0 |
|* 26 | CONNECT BY WITH FILTERING (UNIQUE)| | 38 | | 722 |00:00:00.01 | 288 | 0 |
| 27 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 38 | 1 | 38 |00:00:00.01 | 86 | 0 |
|* 28 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 38 | 1 | 38 |00:00:00.01 | 48 | 0 |
| 29 | NESTED LOOPS | | 114 | 2 | 684 |00:00:00.01 | 202 | 0 |
| 30 | CONNECT BY PUMP | | 114 | | 722 |00:00:00.01 | 0 | 0 |
| 31 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 722 | 2 | 684 |00:00:00.01 | 202 | 0 |
|* 32 | INDEX RANGE SCAN | SUPDEPTID_IDX | 722 | 2 | 684 |00:00:00.01 | 126 | 0 |
|* 33 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 38 | 44 | 936 |00:00:00.06 | 126 | 8 |
|* 34 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 2304 | 16 | 11598 |00:00:00.27 | 3550 | 37 |
|* 35 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 11598 | 9 | 10826 |00:00:22.08 | 11574 | 2852 |
| 36 | TABLE ACCESS FULL | SAMS_ICLOCK | 2 | 6306 | 12624 |00:00:00.08 | 2824 | 0 |
-------------------------------------------------------------------------------------------------------------------------------------------------
下面是查询到的绑定变量值，可以通过查看v$sql_bind_capture视图来查看变量的实际值，如果时间比较久，可以使用如下的语句查看历史的绑定变量信息
:1 360710 VARCHAR2(32) 23-MAR-17
:2 2017-03-01 VARCHAR2(32) 23-MAR-17
:3 2017-03-23 VARCHAR2(32) 23-MAR-17
:4 360710 VARCHAR2(32) 23-MAR-17
:5 36071000000600 VARCHAR2(32) 23-MAR-17
:6 %36071000000600% VARCHAR2(32) 23-MAR-17
:7 36071000000600 VARCHAR2(32) 23-MAR-17
:8 10 NUMBER 23-MAR-17
:9 0 NUMBER 23-MAR-17
select NAME,VALUE_STRING,DATATYPE_STRING,LAST_CAPTURED from dba_hist_sqlbind where sql_id='99vaabs5ptktb' and LAST_CAPTURED between
to_date('2017-03-23 09:00:00','yyyy-mm-dd hh24:mi:ss') and to_date('2017-03-23 12:00:00','yyyy-mm-dd hh24:mi:ss');
以下是开启了autotrace 选项跟踪的手工执行情况，从执行效率上看是没有问题的。
---------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
---------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 40 | 24280 | 1315 (1)| 00:00:16 | | |
| 1 | SORT ORDER BY | | 40 | 24280 | 1315 (1)| 00:00:16 | | |
|* 2 | FILTER | | | | | | | |
|* 3 | HASH JOIN OUTER | | 40 | 24280 | 1314 (1)| 00:00:16 | | |
| 4 | NESTED LOOPS | | 802 | 263K| 1231 (1)| 00:00:15 | | |
| 5 | NESTED LOOPS | | 1472 | 263K| 1231 (1)| 00:00:15 | | |
| 6 | NESTED LOOPS | | 92 | 18860 | 104 (1)| 00:00:02 | | |
| 7 | NESTED LOOPS | | 3 | 432 | 10 (10)| 00:00:01 | | |
| 8 | VIEW | VW_NSO_2 | 3 | 66 | 7 (15)| 00:00:01 | | |
| 9 | HASH UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 10 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | |
| 11 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 12 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 13 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 14 | CONNECT BY PUMP | | | | | | | |
| 15 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 16 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
| 17 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 122 | 1 (0)| 00:00:01 | | |
|* 18 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 0 (0)| 00:00:01 | | |
| 19 | VIEW | | 31 | 1891 | 60 (0)| 00:00:01 | | |
| 20 | UNION-ALL PARTITION | | | | | | | |
|* 21 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 68 | 4148 | 4 (0)| 00:00:01 | | |
|* 22 | HASH JOIN | | 3 | 309 | 10 (10)| 00:00:01 | | |
|* 23 | VIEW | VW_NSO_1 | 3 | 126 | 7 (15)| 00:00:01 | | |
| 24 | SORT UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 25 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | |
| 26 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 27 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 28 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 29 | CONNECT BY PUMP | | | | | | | |
| 30 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 31 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
|* 32 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 44 | 2684 | 3 (0)| 00:00:01 | | |
|* 33 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 16 | | 3 (0)| 00:00:01 | | |
|* 34 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 9 | 1179 | 19 (0)| 00:00:01 | ROWID | ROWID |
| 35 | TABLE ACCESS FULL | SAMS_ICLOCK | 6306 | 1668K| 83 (0)| 00:00:02 | | |
---------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter("SU"."BADGENUMBER"=U'36071000000600' OR "SU"."NAME" LIKE U'%36071000000600%' AND "SU"."NAME" IS NOT NULL AND
"SU"."NAME" IS NOT NULL OR "SL"."SN"=U'36071000000600')
3 - access("SL"."SN"(+)="SC"."SN")
10 - access("T2"."SUPDEPTID"=PRIOR "T2"."DEPTID")
12 - access("T2"."DEPTID"=U'360710')
16 - access("connect$_by$_pump$_017"."prior T2.DEPTID "="T2"."SUPDEPTID")
18 - access("SD"."DEPTID"="DEPTID")
21 - access("DEPTID"="SD"."DEPTID")
22 - access("SD"."DEPTID"="DEPTID")
23 - filter("DEPTID"="SD"."DEPTID")
25 - access("T2"."SUPDEPTID"=PRIOR "T2"."DEPTID")
27 - access("T2"."DEPTID"=U'360710')
31 - access("connect$_by$_pump$_006"."prior T2.DEPTID "="T2"."SUPDEPTID")
32 - access("DEPTID"="SD"."DEPTID")
33 - access("SU"."BADGENUMBER"="SC"."BADGENUMBER")
34 - filter("SC"."CHECKTIME">=TIMESTAMP' 2017-03-01 00:00:00' AND "SC"."CHECKTIME"<=TIMESTAMP' 2017-03-24 00:00:00')
Statistics
----------------------------------------------------------
1 recursive calls
0 db block gets
8938 consistent gets
2467 physical reads
0 redo size
7901 bytes sent via SQL*Net to client
520 bytes received via SQL*Net from client
2 SQL*Net roundtrips to/from client
120 sorts (memory)
0 sorts (disk)
8 rows processed
从执行计划和表的数据量等方面判断如果sql的开销有问题，应该出现在表SAMS_CHECKINOUT上面，下面检查该表上面索引的创建语句看是否有问题
CREATE INDEX "SAMS"."IDX_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("BADGENUMBER")
CREATE INDEX "SAMS"."IDX1_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("CHECKTIME", "BADGENUMBER", "ID")
CREATE INDEX "SAMS"."INDEX_SN_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("SN")
CREATE INDEX "SAMS"."IDX2_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("PROV_BRANCH_CODE")
CREATE INDEX "SAMS"."IDX3_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" (TO_CHAR("CHECKTIME",'YYYY-MM'), "BADGENUMBER")
CREATE INDEX "SAMS"."IDX4_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("PROV_BRANCH_CODE", "BADGENUMBER", "CHECKTIME")
Paste_Image.png
Paste_Image.png
从上图可以看到，实际测试出来的执行计划跟awr报告上不同。
现在要对sql做测试
SELECT /*+ gather_plan_statistics */ *
FROM (SELECT A.*, ROWNUM RN
FROM (select sd.deptnumber,
sd.deptname,
su.badgenumber,
su.name,
to_char(sc.checktime, 'YYYY-MM-DD HH24:MI:SS') as CHECKTIME,
case
when rtrim(sc.verifycode) = '0' then
'密码'
when rtrim(sc.verifycode) = '1' then
'指纹'
when rtrim(sc.verifycode) = '2' then
'补签'
when rtrim(sc.verifycode) = '15' then
'面部'
when rtrim(sc.verifycode) = 'ZW' then
'指纹'
when rtrim(sc.verifycode) = 'RL' then
'面部'
when rtrim(sc.verifycode) = 'YD' then
'移动打卡(GPS)'
when rtrim(sc.verifycode) = 'EJ' then
'国寿E家'
end as verifycode,
sl.sn || '(' || sl.alias || ')' as devicename,
to_char(sc.insystime, 'YYYY-MM-DD HH24:MI:SS') as INSYSTIME
from SAMS_CHECKINOUT sc
inner join (select badgenumber, name, deptid
from SAMS_USERINFO
union all
select badgenumber, name, deptid
from SAMS_USERINFO_DIMISSION sd
where 1 = 1
and sd.deptid in
(select Deptid
from SAMS_DEPARTMENTS T2
start with T2.Deptid = '360710'
connect by prior T2.DEPTID = T2.SUPDEPTID)) su
on su.badgenumber = sc.badgenumber
inner join SAMS_DEPARTMENTS sd
on s d.deptid = su.deptid
left join SAMS_ICLOCK sl
on sl.sn = sc.sn
where 1 = 1
and sc.checktime >= to_date('2017-03-01', 'yyyy-MM-dd')
and sc.checktime <= to_date('2017-03-23', 'yyyy-MM-dd') + 1
and sd.deptid in
(select Deptid
from SAMS_DEPARTMENTS T2
start with T2.Deptid = '360710'
connect by prior T2.DEPTID = T2.SUPDEPTID)
and (su.badgenumber = '36071000000600' or su.name LIKE '%36071000000600%' or sl.sn = '36071000000600')
order by sc.checktime, su.name desc) A
WHERE ROWNUM <= 10)
WHERE RN > 0;
我们通过/*+ gather_plan_statistics */ 收集的相关执行计划及其统计信息与该SQL的AWR报告中的执行计划不同，且逻辑读的数量与AWR报告中的数值也相差巨大。因此，为了更准确的判断问题，按以下方法测试。
1、SQL在生产库（SAMS库的实例 1上，实例名为sams1 ）上，在SQLPLUS中执行。
2、执行后，在同一SQLPLUS窗口中，立即执行以下命令：
select * from table(dbms_xplan.display_cursor('','','allstats projection last'));
结果如下：
PLAN_TABLE_OUTPUT
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | OMem | 1Mem | Used-Mem |
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | | 8 |00:00:31.98 | 11130 | 3323 | | | |
|* 1 | VIEW | | 1 | 2 | 8 |00:00:31.98 | 11130 | 3323 | | | |
|* 2 | COUNT STOPKEY | | 1 | | 8 |00:00:31.98 | 11130 | 3323 | | | |
| 3 | VIEW | | 1 | 2 | 8 |00:00:31.98 | 11130 | 3323 | | | |
|* 4 | SORT ORDER BY STOPKEY | | 1 | 2 | 8 |00:00:31.98 | 11130 | 3323 | 2048 | 2048 | 2048 (0)|
|* 5 | FILTER | | 1 | | 8 |00:00:31.57 | 11130 | 3323 | | | |
|* 6 | HASH JOIN OUTER | | 1 | 2 | 5816 |00:00:30.90 | 11130 | 3323 | 1617K| 1078K| 1678K (0)|
| 7 | NESTED LOOPS | | 1 | 802 | 5816 |00:00:33.75 | 9263 | 3320 | | | |
| 8 | NESTED LOOPS | | 1 | 1472 | 6140 |00:00:00.90 | 3136 | 77 | | | |
| 9 | NESTED LOOPS | | 1 | 92 | 1160 |00:00:00.11 | 353 | 18 | | | |
| 10 | NESTED LOOPS | | 1 | 3 | 19 |00:00:00.01 | 43 | 0 | | | |
| 11 | VIEW |VW_NSO_2 | 1 | 3 | 19 |00:00:00.01 | 15 | 0 | | | |
| 12 | HASH UNIQUE | | 1 | 3 | 19 |00:00:00.01 | 15 | 0 | 1263K| 1263K| 1372K (0)|
|* 13 | CONNECT BY WITH FILTERING (UNIQUE) | | 1 | | 19 |00:00:00.01 | 15 | 0 | 2048 | 2048 | 2048 (0)|
| 14 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 1 | 1 |00:00:00.01 | 3 | 0 | | | |
|* 15 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | 1 | 1 |00:00:00.01 | 2 | 0 | | | |
| 16 | NESTED LOOPS | | 3 | 2 | 18 |00:00:00.01 | 12 | 0 | | | |
| 17 | CONNECT BY PUMP | | 3 | | 19 |00:00:00.01 | 0 | 0 | | | |
| 18 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 2 | 18 |00:00:00.01 | 12 | 0 | | | |
|* 19 | INDEX RANGE SCAN | SUPDEPTID_IDX | 19 | 2 | 18 |00:00:00.01 | 9 | 0 | | | |
| 20 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 28 | 0 | | | |
|* 21 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 9 | 0 | | | |
| 22 | VIEW | | 19 | 31 | 1160 |00:00:00.13 | 310 | 18 | | | |
| 23 | UNION-ALL PARTITION | | 19 | | 1160 |00:00:00.13 | 310 | 18 | | | |
|* 24 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 19 | 68 | 692 |00:00:00.08 | 84 | 10 | | | |
|* 25 | HASH JOIN | | 19 | 3 | 468 |00:00:00.08 | 226 | 8 | 1393K| 1393K| 445K (0)|
|* 26 | VIEW | VW_NSO_1 | 19 | 3 | 19 |00:00:00.01 | 163 | 0 | | | |
| 27 | SORT UNIQUE | | 19 | 3 | 361 |00:00:00.01 | 163 | 0 | 2048 | 2048 | 2048 (0)|
|* 28 | CONNECT BY WITH FILTERING (UNIQUE)| | 19 | | 361 |00:00:00.01 | 163 | 0 | 2048 | 2048 | 2048 (0)|
| 29 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 43 | 0 | | | |
|* 30 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 24 | 0 | | | |
| 31 | NESTED LOOPS | | 57 | 2 | 342 |00:00:00.01 | 120 | 0 | | | |
| 32 | CONNECT BY PUMP | | 57 | | 361 |00:00:00.01 | 0 | 0 | | | |
| 33 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 361 | 2 | 342 |00:00:00.01 | 120 | 0 | | | |
|* 34 | INDEX RANGE SCAN | SUPDEPTID_IDX | 361 | 2 | 342 |00:00:00.01 | 63 | 0 | | | |
|* 35 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 19 | 44 | 468 |00:00:00.07 | 63 | 8 | | | |
|* 36 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 1160 | 16 | 6140 |00:00:00.62 | 2783 | 59 | | | |
|* 37 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 6140 | 9 | 5816 |00:00:30.00 | 6127 | 3243 | | | |
| 38 | TABLE ACCESS FULL | SAMS_ICLOCK | 1 | 6313 | 6328 |00:00:00.03 | 1867 | 3 | | | |
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
1、在目录下创建一个脚本文件，用来获取更加相信的信息。
2、在SQLPLUS中，执行以下命令：@sql_rpt 3271368959 1 24114 24115 99vaabs5ptktb
4、执行完成后，在该目录下生成一个HTML文档，拿到更加详细的sql统计信息附带表的数据信息
注：命令参数的说明：3271368959 为数据库IDDBID
1 为 实例号instance_number
24114 为 快照的开始snap_id
24115为 快照的结束 snap_id
99vaabs5ptktb 为 相关SQL的sql_id
初步分析如下：
1、该SQL执行一次的逻辑读为11130块次，其中第37步的逻辑读为6127块次，占了一半还多。而该步的操作是根据前面的获取到的ROWID，回表SAMS_CHECKINOUT获取"SC".“CHECKTIME"[TIMESTAMP,11], "SC"."VERIFYCODE"[CHARACTER,4], "SC"."SN"[NVARCHAR2,40], "SC"."INSYSTIME"[TIMESTAMP,11]四列的内容。
2、第38步对SAMS_ICLOCK表的全表扫描，对整个SQL的逻辑读也有较大贡献。但这个不是问题的关键
另外索引上有两个想法：
1、新建组合索引或改造已有索引，按如下顺序构建组合索引：
（BADGENUMBER, CHECKTIME, SN, VERIFYCODE, INSYSTIME）
2、在表SAMS_ICLOCK上创建组合索引，列名及顺序如下：
（SN, ALIAS）
这两个索引先暂时不创建，先从其他方面入手
由于在测试过程中，其生成的执行计划从未与AWR中显示的执行计划一致过。所以，这也许是造成不能模拟出2亿个块次逻辑读的一个原因。因此，把有问题的SQL的执行计划绑定到的测试SQL上。然后执行该测试SQL，并观察和分析测试SQL的执行过程和结果来做出进一步的处理。
为完成上述想法，需要用到ORACLE的SQL PROFILE在不改变SQL文本的前提下，改变其执行计划。操作方法如下：
1、在SQLPLUS中，生成问题SQL的创建SQL PROFILE的脚本。该脚本执行后，会要求分别输入SQL_ID和PLAN_HASH_VALUE的值。而我们问题SQL的SQL_ID是99vaabs5ptktb，PLAN_HASH_VALUE的值是4243346097。脚本执行完成后，会在运行SQLPLUS的当前目录中生成一个脚本文件。其名称在执行脚本过程中的结尾有显示。为描述方便，简称该生成的S脚本文件为“问题SQL脚本”。
2、再次执行该脚本，只不过这次输入测试SQL的SQL_ID和PLAN_HASH_VALUE。其SQL_ID为3kys9xsdjrm3b，PLAN_HASH_VALUE的值为561269195。为描述方便，简称该生成的脚本文件为“测试SQL脚本”
3、在文本编辑工具中分别打开上述两个脚本，将问题SQL脚本中出现在以下特征文字之间的文字（不包含特征文字 ）复制并覆盖掉测试SQL脚本中同样位置的原文字：
h := SYS.SQLPROF_ATTR(
………
……….
……….
:signature := DBMS_SQLTUNE.SQLTEXT_TO_SIGNATURE(sql_txt);
4、将测试SQL脚本另存为一个文件（后缀名为.sql）
5、在SQLPLUS中执行第4步另存后的脚本。
6、在SQLPLUS中原封不动的执行原测试SQL。(注：执行前设置SQLPLUS格式,以避免格式混乱。比如 set lines 200 set pagesize 100 )
7、执行 select * from table(dbms_xplan.display_cursor('','','allstats projection last'));
如果正常生成脚本，没有报错信息出现在屏幕上，就是生成脚本成功。比如出现下面的提示就是正常的：
“Execute coe_xfr_sql_profile_99vaabs5ptktb_4243346097.sql
on TARGET system in order to create a custom SQL Profile
with plan 4243346097 linked to adjusted sql_text.
COE_XFR_SQL_PROFILE completed.”
如果出现
“ERROR at line 1:
ORA-20100: SQL_TEXT for SQL_ID 3kys9xsdjrm3b was not found in memory (gv$sqltext_with_newlines) or AWR (dba_hist_sqltext).
ORA-06512: at line 3”
这样的信息就是生成脚本出错了。
错误的原因是3kys9xsdjrm3b这条SQL_ID的SQL已经不在内存中，而且也没有被捕获到AWR中。解决的方法就是立即把这条SQL重跑一次，执行select * from table(dbms_xplan.display_cursor('','','allstats projection last')); 就可以看到该sql的id和plan hash value，然后再执行这个脚本。
我们把绑定变量替换为实际的值，运行后发现没有发生2亿多个块次的逻辑读。而且，把各种特殊值都试过，也没有重现发生2亿多个块次的逻辑读。
在测试过程中，发现这些执行计划，和从AWR中提取出来的执行计划就没有一样过。由于计划不同，访问相关对象的方法和路径也就不同，就算是用这样的方法模拟出了2亿个块次的逻辑读，也不是我们真正要解决的那个问题。因此，目前的方向是首先模似出一致的执行计划。
或者说，现在怀疑问题可能与执行计划有关。 简单粗暴的办法是把该SQL的CURSOR清除，让数据库重新生成一个新的执行计划。这个操作之前已经做过，将整个的共享池缓存清楚，让sql重新生成执行计划，结果并没有效果。而且数据库打了最新的补丁，也同样没有效果，基本可以排除BUG的顾虑。
我之前操作有误，把执行计划固定到问题sql上了，现在删除掉了
SQL> SELECT name from dba_sql_profiles;
NAME
------------------------------
coe_99vaabs5ptktb_4243346097
SQL> BEGIN
2 DBMS_SQLTUNE.DROP_SQL_PROFILE(name => 'coe_99vaabs5ptktb_4243346097');
3 END;
4 /
PL/SQL procedure successfully completed.
SQL> SELECT name, created,category,sql_Text from dba_sql_profiles ORDER BY created DESC;
no rows selected
2017年3月29日 星期三 16:06:42
SQL>SELECT /*+ gather_plan_statistics */ * FROM (SELECT A.*, ROWNUM RN
FROM (select sd.deptnumber, 2
3 sd.deptname,
4 su.badgenumber,
5 su.name,
6 to_char(sc.checktime, 'YYYY-MM-DD HH24:MI:SS') as CHECKTIME,
7 case
8 when rtrim(sc.verifycode) = '0' then 'A'
9 when rtrim(sc.verifycode) = '1' then 'B'
10 when rtrim(sc.verifycode) = '2' then 'D'
11 when rtrim(sc.verifycode) = '15' then 'C'
12 when rtrim(sc.verifycode) = 'ZW' then 'B'
13 when rtrim(sc.verifycode) = 'RL' then 'C'
14 when rtrim(sc.verifycode) = 'YD' then 'E'
15 when rtrim(sc.verifycode) = 'EJ' then 'F'
16 end as verifycode,
17 sl.sn || '(' || sl.alias || ')' as devicename,
18 to_char(sc.insystime, 'YYYY-MM-DD HH24:MI:SS') as INSYSTIME
19 from SAMS_CHECKINOUT sc
20 inner join (select badgenumber, name, deptid
21 from SAMS_USERINFO
22 union all
23 select badgenumber, name, deptid
24 from SAMS_USERINFO_DIMISSION sd
25 where 1 = 1
26 and sd.deptid in
27 (select Deptid
28 from SAMS_DEPARTMENTS T2
29 start with T2.Deptid = '360710'
30 connect by prior T2.DEPTID = T2.SUPDEPTID)) su
31 on su.badgenumber = sc.badgenumber
32 inner join SAMS_DEPARTMENTS sd
33 on sd.deptid = su.deptid
34 left join SAMS_ICLOCK sl
35 on sl.sn = sc.sn
36 where 1 = 1
37 and sc.checktime >= to_date('2017-03-01', 'yyyy-MM-dd')
38 and sc.checktime <= to_date('2017-03-23', 'yyyy-MM-dd') + 1
39 and sd.deptid in
40 (select Deptid
41 from SAMS_DEPARTMENTS T2
42 start with T2.Deptid = '360710'
43 connect by prior T2.DEPTID = T2.SUPDEPTID)
44 and (su.badgenumber = '36071000000600' or su.name LIKE '%36071000000600%' or sl.sn = '36071000000600')
45 order by sc.checktime, su.name desc) A
46 WHERE ROWNUM <= 10)
47 WHERE RN > 0;
select * from table(dbms_xplan.display_cursor('','','allstats projection last'));
SQL>
PLAN_TABLE_OUTPUT
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
SQL_ID bw0b67268pva8, child number 1
-------------------------------------
SELECT /*+ gather_plan_statistics */ * FROM (SELECT A.*, ROWNUM RN
FROM (select sd.deptnumber, sd.deptname,
su.badgenumber, su.name,
to_char(sc.checktime, 'YYYY-MM-DD HH24:MI:SS') as
CHECKTIME, case when
rtrim(sc.verifycode) = '0' then 'A' when
rtrim(sc.verifycode) = '1' then 'B' when
rtrim(sc.verifycode) = '2' then 'D' when
rtrim(sc.verifycode) = '15' then 'C' when
rtrim(sc.verifycode) = 'ZW' then 'B' when
rtrim(sc.verifycode) = 'RL' then 'C' when
rtrim(sc.verifycode) = 'YD' then 'E' when
rtrim(sc.verifycode) = 'EJ' then 'F' end as
verifycode, sl.sn || '(' || sl.alias || ')' as
devicename, to_char
Plan hash value: 3623936353
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | OMem | 1Mem | Used-Mem |
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | | 8 |00:00:00.15 | 11988 | 1 | | | |
|* 1 | VIEW | | 1 | 10 | 8 |00:00:00.15 | 11988 | 1 | | | |
|* 2 | COUNT STOPKEY | | 1 | | 8 |00:00:00.15 | 11988 | 1 | | | |
| 3 | VIEW | | 1 | 14 | 8 |00:00:00.15 | 11988 | 1 | | | |
|* 4 | SORT ORDER BY STOPKEY | | 1 | 14 | 8 |00:00:00.15 | 11988 | 1 | 2048 | 2048 | 2048 (0)|
|* 5 | FILTER | | 1 | | 8 |00:00:00.07 | 11988 | 1 | | | |
|* 6 | HASH JOIN RIGHT OUTER | | 1 | 14 | 5818 |00:00:00.12 | 11988 | 1 | 1361K| 1361K| 1487K (0)|
| 7 | TABLE ACCESS FULL | SAMS_ICLOCK | 1 | 6332 | 6336 |00:00:00.07 | 376 | 0 | | | |
| 8 | NESTED LOOPS | | 1 | 5442 | 5818 |00:00:00.04 | 11612 | 1 | | | |
| 9 | NESTED LOOPS | | 1 | 11210 | 8062 |00:00:00.01 | 3593 | 0 | | | |
| 10 | NESTED LOOPS | | 1 | 590 | 1174 |00:00:00.01 | 374 | 0 | | | |
| 11 | NESTED LOOPS | | 1 | 19 | 19 |00:00:00.01 | 44 | 0 | | | |
| 12 | VIEW | VW_NSO_2 | 1 | 19 | 19 |00:00:00.01 | 16 | 0 | | | |
| 13 | HASH UNIQUE | | 1 | 19 | 19 |00:00:00.01 | 16 | 0 | 1263K| 1263K| 1369K (0)|
|* 14 | CONNECT BY WITH FILTERING (UNIQUE) | | 1 | | 19 |00:00:00.01 | 16 | 0 | 2048 | 2048 | 2048 (0)|
| 15 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 1 | 1 |00:00:00.01 | 3 | 0 | | | |
|* 16 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | 1 | 1 |00:00:00.01 | 2 | 0 | | | |
| 17 | NESTED LOOPS | | 3 | 2 | 18 |00:00:00.01 | 13 | 0 | | | |
| 18 | CONNECT BY PUMP | | 3 | | 19 |00:00:00.01 | 0 | 0 | | | |
| 19 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 2 | 18 |00:00:00.01 | 13 | 0 | | | |
|* 20 | INDEX RANGE SCAN | SUPDEPTID_IDX | 19 | 2 | 18 |00:00:00.01 | 9 | 0 | | | |
| 21 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 28 | 0 | | | |
|* 22 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 9 | 0 | | | |
| 23 | VIEW | | 19 | 31 | 1174 |00:00:00.01 | 330 | 0 | | | |
| 24 | UNION-ALL PARTITION | | 19 | | 1174 |00:00:00.01 | 330 | 0 | | | |
|* 25 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 19 | 69 | 706 |00:00:00.01 | 85 | 0 | | | |
|* 26 | HASH JOIN | | 19 | 3 | 468 |00:00:00.01 | 245 | 0 | 1393K| 1393K| 716K (0)|
|* 27 | VIEW | VW_NSO_1 | 19 | 3 | 19 |00:00:00.01 | 182 | 0 | | | |
| 28 | SORT UNIQUE | | 19 | 3 | 361 |00:00:00.01 | 182 | 0 | 2048 | 2048 | 2048 (0)|
|* 29 | CONNECT BY WITH FILTERING (UNIQUE)| | 19 | | 361 |00:00:00.01 | 182 | 0 | 2048 | 2048 | 2048 (0)|
| 30 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 43 | 0 | | | |
|* 31 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 24 | 0 | | | |
| 32 | NESTED LOOPS | | 57 | 2 | 342 |00:00:00.01 | 139 | 0 | | | |
| 33 | CONNECT BY PUMP | | 57 | | 361 |00:00:00.01 | 0 | 0 | | | |
| 34 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 361 | 2 | 342 |00:00:00.01 | 139 | 0 | | | |
|* 35 | INDEX RANGE SCAN | SUPDEPTID_IDX | 361 | 2 | 342 |00:00:00.01 | 63 | 0 | | | |
|* 36 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 19 | 45 | 468 |00:00:00.01 | 63 | 0 | | | |
|* 37 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 1174 | 19 | 8062 |00:00:00.01 | 3219 | 0 | | | |
|* 38 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 8062 | 9 | 5818 |00:00:00.06 | 8019 | 1 | | | |
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("RN">0)
2 - filter(ROWNUM<=10)
4 - filter(ROWNUM<=10)
5 - filter(("SU"."BADGENUMBER"=U'36071000000600' OR ("SU"."NAME" LIKE U'%36071000000600%' AND "SU"."NAME" IS NOT NULL AND "SU"."NAME" IS NOT NULL) OR
"SL"."SN"=U'36071000000600'))
6 - access("SL"."SN"="SC"."SN")
14 - access("T2"."SUPDEPTID"=PRIOR NULL)
16 - access("T2"."DEPTID"=U'360710')
20 - access("connect$_by$_pump$_019"."prior T2.DEPTID "="T2"."SUPDEPTID")
22 - access("SD"."DEPTID"="DEPTID")
25 - access("DEPTID"="SD"."DEPTID")
26 - access("SD"."DEPTID"="DEPTID")
27 - filter("DEPTID"="SD"."DEPTID")
29 - access("T2"."SUPDEPTID"=PRIOR NULL)
31 - access("T2"."DEPTID"=U'360710')
35 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
36 - access("DEPTID"="SD"."DEPTID")
37 - access("SU"."BADGENUMBER"="SC"."BADGENUMBER")
38 - filter(("SC"."CHECKTIME"<=TIMESTAMP' 2017-03-24 00:00:00' AND "SC"."CHECKTIME">=TIMESTAMP' 2017-03-01 00:00:00'))
Column Projection Information (identified by operation id):
-----------------------------------------------------------
1 - "from$_subquery$_001"."DEPTNUMBER"[NVARCHAR2,80], "from$_subquery$_001"."DEPTNAME"[NVARCHAR2,400], "from$_subquery$_001"."BADGENUMBER"[NVARCHAR2,48],
"from$_subquery$_001"."NAME"[NVARCHAR2,48], "from$_subquery$_001"."CHECKTIME"[VARCHAR2,19], "from$_subquery$_001"."VERIFYCODE"[CHARACTER,1],
"from$_subquery$_001"."DEVICENAME"[NVARCHAR2,124], "from$_subquery$_001"."INSYSTIME"[VARCHAR2,19], "RN"[NUMBER,22]
2 - "A"."DEPTNUMBER"[NVARCHAR2,80], "A"."DEPTNAME"[NVARCHAR2,400], "A"."BADGENUMBER"[NVARCHAR2,48], "A"."NAME"[NVARCHAR2,48], "A"."CHECKTIME"[VARCHAR2,19],
"A"."VERIFYCODE"[CHARACTER,1], "A"."DEVICENAME"[NVARCHAR2,124], "A"."INSYSTIME"[VARCHAR2,19], ROWNUM[4]
3 - "A"."DEPTNUMBER"[NVARCHAR2,80], "A"."DEPTNAME"[NVARCHAR2,400], "A"."BADGENUMBER"[NVARCHAR2,48], "A"."NAME"[NVARCHAR2,48], "A"."CHECKTIME"[VARCHAR2,19],
"A"."VERIFYCODE"[CHARACTER,1], "A"."DEVICENAME"[NVARCHAR2,124], "A"."INSYSTIME"[VARCHAR2,19]
4 - (#keys=2) "SC"."CHECKTIME"[TIMESTAMP,11], INTERNAL_FUNCTION("SU"."NAME")[48], "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400],
"SU"."BADGENUMBER"[NVARCHAR2,48], TO_CHAR(INTERNAL_FUNCTION("SC"."INSYSTIME"),'YYYY-MM-DD HH24:MI:SS')[19], TO_CHAR(INTERNAL_FUNCTION("SC"."CHECKTIME"),'YYYY-MM-DD
HH24:MI:SS')[19], CASE RTRIM("SC"."VERIFYCODE") WHEN '0' THEN 'A' WHEN '1' THEN 'B' WHEN '2' THEN 'D' WHEN '15' THEN 'C' WHEN 'ZW' THEN 'B' WHEN 'RL' THEN 'C' WHEN
'YD' THEN 'E' WHEN 'EJ' THEN 'F' END [1], "SL"."SN"||U'('||"SL"."ALIAS"||U')'[124]
5 - "SL"."SN"[NVARCHAR2,40], "SL"."ALIAS"[NVARCHAR2,80], "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400], "SU"."BADGENUMBER"[NVARCHAR2,48],
"SU"."NAME"[NVARCHAR2,48], "SC"."CHECKTIME"[TIMESTAMP,11], "SC"."VERIFYCODE"[CHARACTER,4], "SC"."INSYSTIME"[TIMESTAMP,11]
6 - (#keys=1) "SL"."SN"[NVARCHAR2,40], "SL"."ALIAS"[NVARCHAR2,80], "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400],
"SU"."BADGENUMBER"[NVARCHAR2,48], "SU"."NAME"[NVARCHAR2,48], "SC"."CHECKTIME"[TIMESTAMP,11], "SC"."VERIFYCODE"[CHARACTER,4], "SC"."INSYSTIME"[TIMESTAMP,11]
7 - "SL"."SN"[NVARCHAR2,40], "SL"."ALIAS"[NVARCHAR2,80]
8 - "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400], "SU"."BADGENUMBER"[NVARCHAR2,48], "SU"."NAME"[NVARCHAR2,48], "SC"."CHECKTIME"[TIMESTAMP,11],
"SC"."VERIFYCODE"[CHARACTER,4], "SC"."SN"[NVARCHAR2,40], "SC"."INSYSTIME"[TIMESTAMP,11]
9 - "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400], "SU"."BADGENUMBER"[NVARCHAR2,48], "SU"."NAME"[NVARCHAR2,48], "SC".ROWID[ROWID,10]
10 - "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400], "SU"."BADGENUMBER"[NVARCHAR2,48], "SU"."NAME"[NVARCHAR2,48]
11 - "SD"."DEPTID"[NVARCHAR2,80], "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400]
12 - "DEPTID"[NVARCHAR2,80]
13 - "DEPTID"[NVARCHAR2,80]
14 - "T2"."SUPDEPTID"[NVARCHAR2,80], "T2"."DEPTID"[NVARCHAR2,80], PRIOR NULL[80], LEVEL[4]
15 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
16 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80]
17 - "connect$_by$_pump$_019"."prior T2.DEPTID "[NVARCHAR2,80], "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
18 - "connect$_by$_pump$_019"."prior T2.DEPTID "[NVARCHAR2,80]
19 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
20 - "T2".ROWID[ROWID,10], "T2"."SUPDEPTID"[NVARCHAR2,80]
21 - "SD"."DEPTID"[NVARCHAR2,80], "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400]
22 - "SD".ROWID[ROWID,10], "SD"."DEPTID"[NVARCHAR2,80]
23 - "SU"."BADGENUMBER"[NVARCHAR2,48], "SU"."NAME"[NVARCHAR2,48]
24 - STRDEF[48], STRDEF[48], STRDEF[80]
25 - "BADGENUMBER"[NVARCHAR2,48], "NAME"[NVARCHAR2,48], "DEPTID"[NVARCHAR2,80]
26 - (#keys=1) "SD"."DEPTID"[NVARCHAR2,80], "BADGENUMBER"[NVARCHAR2,48], "NAME"[NVARCHAR2,48]
27 - "DEPTID"[NVARCHAR2,80]
28 - (#keys=1) "DEPTID"[NVARCHAR2,80]
29 - "T2"."SUPDEPTID"[NVARCHAR2,80], "T2"."DEPTID"[NVARCHAR2,80], PRIOR NULL[80], LEVEL[4]
30 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
31 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80]
32 - "connect$_by$_pump$_008"."prior T2.DEPTID "[NVARCHAR2,80], "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
33 - "connect$_by$_pump$_008"."prior T2.DEPTID "[NVARCHAR2,80]
34 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
35 - "T2".ROWID[ROWID,10], "T2"."SUPDEPTID"[NVARCHAR2,80]
36 - "BADGENUMBER"[NVARCHAR2,48], "NAME"[NVARCHAR2,48], "SD"."DEPTID"[NVARCHAR2,80]
37 - "SC".ROWID[ROWID,10]
38 - "SC"."CHECKTIME"[TIMESTAMP,11], "SC"."VERIFYCODE"[CHARACTER,4], "SC"."SN"[NVARCHAR2,40], "SC"."INSYSTIME"[TIMESTAMP,11]
按照之前的方法重新测试，执行计划还是跟awr上面不一样，手工绑sqlprofile也不行，再寻找其他出路。
2017年3月30日 星期四 9:54:28
使用oracle的sql 自动优化功能，看看是否可以模拟出跟awr报告上面一样的执行计划，看看其结果如何：
GENERAL INFORMATION SECTION
-------------------------------------------------------------------------------
Tuning Task Name : TASK_88857
Tuning Task Owner : SYS
Workload Type : Single SQL Statement
Scope : COMPREHENSIVE
Time Limit(seconds): 1800
Completion Status : COMPLETED
Started at : 03/30/2017 09:20:25
Completed at : 03/30/2017 09:22:27
-------------------------------------------------------------------------------
Schema Name: SAMS
SQL ID : 99vaabs5ptktb
SQL Text : SELECT * FROM ( SELECT A.*, ROWNUM RN FROM (select
sd.deptnumber,sd.deptname,su.badgenumber,su.name,to_char(sc.check
time,'YYYY-MM-DD HH24:MI:SS') as CHECKTIME,case when
rtrim(sc.verifycode)='0' then '密码' when rtrim(sc.verifycode)='1'
then '指纹' when rtrim(sc.verifycode)='2' then '补签' when
rtrim(sc.verifycode)='15' then '面部' when
rtrim(sc.verifycode)='ZW' then '指纹' when
rtrim(sc.verifycode)='RL' then '面部' when
rtrim(sc.verifycode)='YD' then '移动打卡(GPS)' when
rtrim(sc.verifycode)='EJ' then '国寿E家' end as
verifycode,sl.sn||'('||sl.alias||')' as
devicename,to_char(sc.insystime,'YYYY-MM-DD HH24:MI:SS') as
INSYSTIME from SAMS_CHECKINOUT sc inner join (select
badgenumber, name, deptid from SAMS_USERINFO union all select
badgenumber, name, deptid from SAMS_USERINFO_DIMISSION sd where
1=1 and sd.deptid in(select Deptid from SAMS_DEPARTMENTS T2
start with T2.Deptid = :1 connect by prior T2.DEPTID
=T2.SUPDEPTID)) su on su.badgenumber = sc.badgenumber inner join
SAMS_DEPARTMENTS sd on sd.deptid = su.deptid left join
SAMS_ICLOCK sl on sl.sn=sc.sn where 1=1 and sc.checktime>=
to_date(:2 ,'yyyy-MM-dd') and sc.checktime<= to_date(:3
,'yyyy-MM-dd')+1 and sd.deptid in(select Deptid from
SAMS_DEPARTMENTS T2 start with T2.Deptid = :4 connect by prior
T2.DEPTID =T2.SUPDEPTID) and (su.badgenumber=:5 or su.name LIKE
:6 or sl.sn=:7 ) order by sc.checktime,su.name desc ) A WHERE
ROWNUM <= :8 ) WHERE RN > :9
Bind Variables :
1 - (VARCHAR2(32)):350627
2 - (VARCHAR2(32)):2017-03-01
3 - (VARCHAR2(32)):2017-03-30
4 - (VARCHAR2(32)):350627
5 - (VARCHAR2(32)):35062700001791
6 - (VARCHAR2(32)):%35062700001791%
7 - (VARCHAR2(32)):35062700001791
8 - (NUMBER):10
9 - (NUMBER):0
-------------------------------------------------------------------------------
FINDINGS SECTION (1 finding)
-------------------------------------------------------------------------------
1- Alternative Plan Finding
---------------------------
Some alternative execution plans for this statement were found by searching
the system's real-time and historical performance data.
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 3018912096 2017-03-30/09:20:49 0.203 Cursor Cache original plan
2 205839464 2017-03-28/12:00:08 1.492 AWR
3 4243346097 2017-03-30/08:00:34 33323.697 AWR
Information
-----------
- The Original Plan appears to have the best performance, based on the
elapsed time per execution. However, if you know that one alternative
plan is better than the Original Plan, you can create a SQL plan baseline
for it. This will instruct the Oracle optimizer to pick it over any other
choices in the future.
execute dbms_sqltune.create_sql_plan_baseline(task_name => 'TASK_88857',
owner_name => 'SYS', plan_hash_value => xxxxxxxx);
-------------------------------------------------------------------------------
ADDITIONAL INFORMATION SECTION
-------------------------------------------------------------------------------
- The optimizer could not merge the view at line ID 3 of the execution plan.
The optimizer cannot merge a view that contains an "ORDER BY" clause unless
the statement is a "DELETE" or an "UPDATE" and the parent query is the top
most query in the statement.
- The optimizer could not merge the view at line ID 1 of the execution plan.
The optimizer cannot merge a view that contains a "ROWNUM" pseudo column.
-------------------------------------------------------------------------------
EXPLAIN PLANS SECTION
-------------------------------------------------------------------------------
1- Original
-----------
Plan hash value: 3018912096
------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 3 | 1209 | 1604 (1)| 00:00:20 | | |
|* 1 | VIEW | | 3 | 1209 | 1604 (1)| 00:00:20 | | |
|* 2 | COUNT STOPKEY | | | | | | | |
| 3 | VIEW | | 3 | 1170 | 1604 (1)| 00:00:20 | | |
|* 4 | SORT ORDER BY STOPKEY | | 3 | 804 | 1604 (1)| 00:00:20 | | |
|* 5 | FILTER | | | | | | | |
|* 6 | HASH JOIN OUTER | | 3 | 804 | 1603 (1)| 00:00:20 | | |
| 7 | NESTED LOOPS | | 1088 | 233K| 1520 (1)| 00:00:19 | | |
| 8 | NESTED LOOPS | | 1767 | 233K| 1520 (1)| 00:00:19 | | |
| 9 | NESTED LOOPS | | 93 | 14043 | 104 (1)| 00:00:02 | | |
| 10 | NESTED LOOPS | | 3 | 270 | 10 (10)| 00:00:01 | | |
| 11 | VIEW | VW_NSO_2 | 3 | 66 | 7 (15)| 00:00:01 | | |
| 12 | HASH UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 13 | FILTER | | | | | | | |
|* 14 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | |
| 15 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 16 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 17 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 18 | CONNECT BY PUMP | | | | | | | |
| 19 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 20 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
| 21 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 68 | 1 (0)| 00:00:01 | | |
|* 22 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 0 (0)| 00:00:01 | | |
| 23 | VIEW | | 31 | 1891 | 60 (0)| 00:00:01 | | |
| 24 | UNION-ALL PARTITION | | | | | | | |
|* 25 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 69 | 4209 | 4 (0)| 00:00:01 | | |
|* 26 | HASH JOIN | | 3 | 309 | 10 (10)| 00:00:01 | | |
|* 27 | VIEW | VW_NSO_1 | 3 | 126 | 7 (15)| 00:00:01 | | |
| 28 | SORT UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 29 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | |
| 30 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 31 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 32 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 33 | CONNECT BY PUMP | | | | | | | |
| 34 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 35 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
|* 36 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 46 | 2806 | 3 (0)| 00:00:01 | | |
|* 37 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 19 | | 3 (0)| 00:00:01 | | |
|* 38 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 12 | 828 | 23 (0)| 00:00:01 | ROWID | ROWID |
| 39 | TABLE ACCESS FULL | SAMS_ICLOCK | 6337 | 297K| 83 (0)| 00:00:01 | | |
------------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("RN">:9)
2 - filter(ROWNUM<=:8)
4 - filter(ROWNUM<=:8)
5 - filter("SU"."BADGENUMBER"=SYS_OP_C2C(:5) OR "SU"."NAME" LIKE SYS_OP_C2C(:6) OR "SL"."SN"=SYS_OP_C2C(:7))
6 - access("SL"."SN"(+)="SC"."SN")
13 - filter(TO_DATE(:3,'yyyy-MM-dd')+1>=TO_DATE(:2,'yyyy-MM-dd'))
14 - access("T2"."SUPDEPTID"=PRIOR NULL)
16 - access("T2"."DEPTID"=SYS_OP_C2C(:4))
20 - access("connect$_by$_pump$_019"."prior T2.DEPTID "="T2"."SUPDEPTID")
22 - access("SD"."DEPTID"="DEPTID")
25 - access("DEPTID"="SD"."DEPTID")
26 - access("SD"."DEPTID"="DEPTID")
27 - filter("DEPTID"="SD"."DEPTID")
29 - access("T2"."SUPDEPTID"=PRIOR NULL)
31 - access("T2"."DEPTID"=SYS_OP_C2C(:1))
35 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
36 - access("DEPTID"="SD"."DEPTID")
37 - access("SU"."BADGENUMBER"="SC"."BADGENUMBER")
38 - filter("SC"."CHECKTIME">=TO_DATE(:2,'yyyy-MM-dd') AND "SC"."CHECKTIME"<=TO_DATE(:3,'yyyy-MM-dd')+1)
-------------------------------------------------------------------------------
ALTERNATIVE PLANS SECTION
-------------------------------------------------------------------------------
Plan 1
------
Plan Origin :Cursor Cache
Plan Hash Value :3018912096
Executions :39
Elapsed Time :0.203 sec
CPU Time :0.127 sec
Buffer Gets :27754
Disk Reads :38
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 | Pstart| Pstop |
------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 10 | 4030 | 1604 (1)| 00:00:20 | | |
|* 1 | VIEW | | 10 | 4030 | 1604 (1)| 00:00:20 | | |
|* 2 | COUNT STOPKEY | | | | | | | |
| 3 | VIEW | | 55 | 21450 | 1604 (1)| 00:00:20 | | |
|* 4 | SORT ORDER BY STOPKEY | | 55 | 14740 | 1604 (1)| 00:00:20 | | |
|* 5 | FILTER | | | | | | | |
|* 6 | HASH JOIN OUTER | | 55 | 14740 | 1603 (1)| 00:00:20 | | |
| 7 | NESTED LOOPS | | 1088 | 233K| 1520 (1)| 00:00:19 | | |
| 8 | NESTED LOOPS | | 1767 | 233K| 1520 (1)| 00:00:19 | | |
| 9 | NESTED LOOPS | | 93 | 14043 | 104 (1)| 00:00:02 | | |
| 10 | NESTED LOOPS | | 3 | 270 | 10 (10)| 00:00:01 | | |
| 11 | VIEW | VW_NSO_2 | 3 | 66 | 7 (15)| 00:00:01 | | |
| 12 | HASH UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 13 | FILTER | | | | | | | |
|* 14 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | |
| 15 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 16 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 17 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 18 | CONNECT BY PUMP | | | | | | | |
| 19 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 20 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
| 21 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 68 | 1 (0)| 00:00:01 | | |
|* 22 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 0 (0)| 00:00:01 | | |
| 23 | VIEW | | 31 | 1891 | 60 (0)| 00:00:01 | | |
| 24 | UNION-ALL PARTITION | | | | | | | |
|* 25 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 69 | 4209 | 4 (0)| 00:00:01 | | |
|* 26 | HASH JOIN | | 3 | 309 | 10 (10)| 00:00:01 | | |
|* 27 | VIEW | VW_NSO_1 | 3 | 126 | 7 (15)| 00:00:01 | | |
| 28 | SORT UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 29 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | |
| 30 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 31 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 32 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 33 | CONNECT BY PUMP | | | | | | | |
| 34 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 35 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
|* 36 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 46 | 2806 | 3 (0)| 00:00:01 | | |
|* 37 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 19 | | 3 (0)| 00:00:01 | | |
|* 38 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 12 | 828 | 23 (0)| 00:00:01 | ROWID | ROWID |
| 39 | TABLE ACCESS FULL | SAMS_ICLOCK | 6337 | 297K| 83 (0)| 00:00:01 | | |
------------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("RN">:9)
2 - filter(ROWNUM<=:8)
4 - filter(ROWNUM<=:8)
5 - filter("SU"."BADGENUMBER"=SYS_OP_C2C(:5) OR "SU"."NAME" LIKE SYS_OP_C2C(:6) OR "SL"."SN"=SYS_OP_C2C(:7))
6 - access("SL"."SN"(+)="SC"."SN")
13 - filter(TO_DATE(:3,'yyyy-MM-dd')+1>=TO_DATE(:2,'yyyy-MM-dd'))
14 - access("T2"."SUPDEPTID"=PRIOR NULL)
16 - access("T2"."DEPTID"=SYS_OP_C2C(:4))
20 - access("connect$_by$_pump$_019"."prior T2.DEPTID "="T2"."SUPDEPTID")
22 - access("SD"."DEPTID"="DEPTID")
25 - access("DEPTID"="SD"."DEPTID")
26 - access("SD"."DEPTID"="DEPTID")
27 - filter("DEPTID"="SD"."DEPTID")
29 - access("T2"."SUPDEPTID"=PRIOR NULL)
31 - access("T2"."DEPTID"=SYS_OP_C2C(:1))
35 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
36 - access("DEPTID"="SD"."DEPTID")
37 - access("SU"."BADGENUMBER"="SC"."BADGENUMBER")
38 - filter("SC"."CHECKTIME">=TO_DATE(:2,'yyyy-MM-dd') AND "SC"."CHECKTIME"<=TO_DATE(:3,'yyyy-MM-dd')+1)
Plan 2
------
Plan Origin :AWR
Plan Hash Value :205839464
Executions :86
Elapsed Time :1.492 sec
CPU Time :0.100 sec
Buffer Gets :31273
Disk Reads :109
Disk Writes :0
Notes:
1. Statistics shown are averaged over multiple executions.
-----------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
-----------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 10 | 4030 | 1998 (1)| 00:00:24 | | |
|* 1 | VIEW | | 10 | 4030 | 1998 (1)| 00:00:24 | | |
|* 2 | COUNT STOPKEY | | | | | | | |
| 3 | VIEW | | 55 | 21450 | 1998 (1)| 00:00:24 | | |
|* 4 | SORT ORDER BY STOPKEY | | 55 | 14740 | 1998 (1)| 00:00:24 | | |
|* 5 | FILTER | | | | | | | |
| 6 | NESTED LOOPS OUTER | | 55 | 14740 | 1997 (1)| 00:00:24 | | |
| 7 | NESTED LOOPS | | 1088 | 233K| 1520 (1)| 00:00:19 | | |
| 8 | NESTED LOOPS | | 93 | 14043 | 104 (1)| 00:00:02 | | |
| 9 | NESTED LOOPS | | 3 | 270 | 10 (10)| 00:00:01 | | |
| 10 | VIEW | VW_NSO_2 | 3 | 66 | 7 (15)| 00:00:01 | | |
| 11 | HASH UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 12 | FILTER | | | | | | | |
|* 13 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | |
| 14 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 15 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 16 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 17 | CONNECT BY PUMP | | | | | | | |
| 18 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 19 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
| 20 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 68 | 1 (0)| 00:00:01 | | |
|* 21 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 0 (0)| 00:00:01 | | |
| 22 | VIEW | | 31 | 1891 | 60 (0)| 00:00:01 | | |
| 23 | UNION-ALL PARTITION | | | | | | | |
|* 24 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 69 | 4209 | 4 (0)| 00:00:01 | | |
|* 25 | HASH JOIN | | 3 | 309 | 10 (10)| 00:00:01 | | |
|* 26 | VIEW | VW_NSO_1 | 3 | 126 | 7 (15)| 00:00:01 | | |
| 27 | SORT UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 28 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | |
| 29 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 30 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 31 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 32 | CONNECT BY PUMP | | | | | | | |
| 33 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 34 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
|* 35 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 46 | 2806 | 3 (0)| 00:00:01 | | |
|* 36 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 12 | 828 | 23 (0)| 00:00:01 | ROWID | ROWID |
|* 37 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 19 | | 3 (0)| 00:00:01 | | |
| 38 | TABLE ACCESS BY INDEX ROWID | SAMS_ICLOCK | 1 | 48 | 1 (0)| 00:00:01 | | |
|* 39 | INDEX UNIQUE SCAN | PK_SAMS_ICLOCK | 1 | | 0 (0)| 00:00:01 | | |
-----------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("RN">:9)
2 - filter(ROWNUM<=:8)
4 - filter(ROWNUM<=:8)
5 - filter("SU"."BADGENUMBER"=SYS_OP_C2C(:5) OR "SU"."NAME" LIKE SYS_OP_C2C(:6) OR "SL"."SN"=SYS_OP_C2C(:7))
12 - filter(TO_DATE(:3,'yyyy-MM-dd')+1>=TO_DATE(:2,'yyyy-MM-dd'))
13 - access("T2"."SUPDEPTID"=PRIOR NULL)
15 - access("T2"."DEPTID"=SYS_OP_C2C(:4))
19 - access("connect$_by$_pump$_019"."prior T2.DEPTID "="T2"."SUPDEPTID")
21 - access("SD"."DEPTID"="DEPTID")
24 - access("DEPTID"="SD"."DEPTID")
25 - access("SD"."DEPTID"="DEPTID")
26 - filter("DEPTID"="SD"."DEPTID")
28 - access("T2"."SUPDEPTID"=PRIOR NULL)
30 - access("T2"."DEPTID"=SYS_OP_C2C(:1))
34 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
35 - access("DEPTID"="SD"."DEPTID")
36 - filter("SC"."CHECKTIME">=TO_DATE(:2,'yyyy-MM-dd') AND "SC"."CHECKTIME"<=TO_DATE(:3,'yyyy-MM-dd')+1)
37 - access("SU"."BADGENUMBER"="SC"."BADGENUMBER")
39 - access("SL"."SN"(+)="SC"."SN")
Plan 3
------
Plan Origin :AWR
Plan Hash Value :4243346097
Executions :130
Elapsed Time :33323.697 sec
CPU Time :5608.075 sec
Buffer Gets :168638697
Disk Reads :156922
Disk Writes :0
Notes:
1. Statistics shown are averaged over multiple executions.
------------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time | Pstart| Pstop |
------------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 10 | 4030 | | 59M (1)|199:40:41 | | |
|* 1 | VIEW | | 10 | 4030 | | 59M (1)|199:40:41 | | |
|* 2 | COUNT STOPKEY | | | | | | | | |
| 3 | VIEW | | 55 | 21450 | | 59M (1)|199:40:41 | | |
|* 4 | SORT ORDER BY STOPKEY | | 55 | 14740 | | 59M (1)|199:40:41 | | |
|* 5 | HASH JOIN | | 55 | 14740 | 228M| 59M (1)|199:40:41 | | |
| 6 | NESTED LOOPS | | 928K| 217M| | 59M (1)|199:38:25 | | |
| 7 | NESTED LOOPS | | 928K| 217M| | 59M (1)|199:38:25 | | |
| 8 | NESTED LOOPS | | 928K| 157M| | 58M (1)|196:32:36 | | |
| 9 | NESTED LOOPS OUTER | | 18M| 2066M| | 21M (1)| 73:02:45 | | |
| 10 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 18M| 1218M| | 13M (1)| 45:58:50 | ROWID | ROWID |
|* 11 | INDEX RANGE SCAN | IDX1_SAMS_CHECKINOUT | 18M| | | 242K (1)| 00:48:26 | | |
| 12 | TABLE ACCESS BY INDEX ROWID | SAMS_ICLOCK | 1 | 48 | | 1 (0)| 00:00:01 | | |
|* 13 | INDEX UNIQUE SCAN | PK_SAMS_ICLOCK | 1 | | | 0 (0)| 00:00:01 | | |
|* 14 | VIEW | | 1 | 61 | | 2 (0)| 00:00:01 | | |
| 15 | UNION-ALL PARTITION | | | | | | | | |
| 16 | TABLE ACCESS BY INDEX ROWID | SAMS_USERINFO | 1 | 61 | | 3 (0)| 00:00:01 | | |
|* 17 | INDEX UNIQUE SCAN | PK_SAMS_USERINFO | 1 | | | 2 (0)| 00:00:01 | | |
| 18 | NESTED LOOPS | | 1 | 103 | | 10 (10)| 00:00:01 | | |
| 19 | TABLE ACCESS BY INDEX ROWID | SAMS_USERINFO_DIMISSION | 1 | 61 | | 3 (0)| 00:00:01 | | |
|* 20 | INDEX UNIQUE SCAN | PK_SAMS_USERINFO_DIMISSION | 1 | | | 2 (0)| 00:00:01 | | |
|* 21 | VIEW | VW_NSO_1 | 1 | 42 | | 7 (15)| 00:00:01 | | |
| 22 | SORT UNIQUE | | 3 | 192 | | 7 (15)| 00:00:01 | | |
|* 23 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | | |
| 24 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 | | |
|* 25 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 | | |
| 26 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 | | |
| 27 | CONNECT BY PUMP | | | | | | | | |
| 28 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 | | |
|* 29 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 | | |
|* 30 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 0 (0)| 00:00:01 | | |
| 31 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 68 | | 1 (0)| 00:00:01 | | |
| 32 | VIEW | VW_NSO_2 | 3 | 66 | | 7 (15)| 00:00:01 | | |
| 33 | HASH UNIQUE | | 3 | 192 | | 7 (15)| 00:00:01 | | |
|* 34 | FILTER | | | | | | | | |
|* 35 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | | |
| 36 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 | | |
|* 37 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 | | |
| 38 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 | | |
| 39 | CONNECT BY PUMP | | | | | | | | |
| 40 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 | | |
|* 41 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 | | |
------------------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("RN">:9)
2 - filter(ROWNUM<=:8)
4 - filter(ROWNUM<=:8)
5 - access("SD"."DEPTID"="DEPTID")
11 - access("SC"."CHECKTIME">=TO_DATE(:2,'yyyy-MM-dd') AND "SC"."CHECKTIME"<=TO_DATE(:3,'yyyy-MM-dd')+1)
13 - access("SL"."SN"(+)="SC"."SN")
14 - filter("SU"."BADGENUMBER"=SYS_OP_C2C(:5) OR "SU"."NAME" LIKE SYS_OP_C2C(:6) OR "SL"."SN"=SYS_OP_C2C(:7))
17 - access("BADGENUMBER"="SC"."BADGENUMBER")
20 - access("BADGENUMBER"="SC"."BADGENUMBER")
21 - filter("SD"."DEPTID"="DEPTID")
23 - access("T2"."SUPDEPTID"=PRIOR NULL)
25 - access("T2"."DEPTID"=SYS_OP_C2C(:1))
29 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
30 - access("SD"."DEPTID"="SU"."DEPTID")
34 - filter(TO_DATE(:3,'yyyy-MM-dd')+1>=TO_DATE(:2,'yyyy-MM-dd'))
35 - access("T2"."SUPDEPTID"=PRIOR NULL)
37 - access("T2"."DEPTID"=SYS_OP_C2C(:4))
41 - access("connect$_by$_pump$_019"."prior T2.DEPTID "="T2"."SUPDEPTID")
-------------------------------------------------------------------------------
SQL>
SQL>
SQL>
SQL> !ora ddl sams index IDX1_SAMS_CHECKINOUT
Session altered.
DBMS_METADATA.GET_DDL(UPPER('INDEX'),UPPER('IDX1_SAMS_CHECKINOUT'),UPPER('SAMS')
--------------------------------------------------------------------------------
CREATE INDEX "SAMS"."IDX1_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("CHECK
TIME", "BADGENUMBER", "ID") PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATIS
TICS STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645
PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "SAMSDATA"
通过自动优化功能，我们看到了跟awr报告上一样的执行计划。
------------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time | Pstart| Pstop |
------------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 10 | 4030 | | 59M (1)|199:40:41 | | |
|* 1 | VIEW | | 10 | 4030 | | 59M (1)|199:40:41 | | |
|* 2 | COUNT STOPKEY | | | | | | | | |
| 3 | VIEW | | 55 | 21450 | | 59M (1)|199:40:41 | | |
|* 4 | SORT ORDER BY STOPKEY | | 55 | 14740 | | 59M (1)|199:40:41 | | |
|* 5 | HASH JOIN | | 55 | 14740 | 228M| 59M (1)|199:40:41 | | |
| 6 | NESTED LOOPS | | 928K| 217M| | 59M (1)|199:38:25 | | |
| 7 | NESTED LOOPS | | 928K| 217M| | 59M (1)|199:38:25 | | |
| 8 | NESTED LOOPS | | 928K| 157M| | 58M (1)|196:32:36 | | |
| 9 | NESTED LOOPS OUTER | | 18M| 2066M| | 21M (1)| 73:02:45 | | |
| 10 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 18M| 1218M| | 13M (1)| 45:58:50 | ROWID | ROWID |
|* 11 | INDEX RANGE SCAN | IDX1_SAMS_CHECKINOUT | 18M| | | 242K (1)| 00:48:26 | | |
| 12 | TABLE ACCESS BY INDEX ROWID | SAMS_ICLOCK | 1 | 48 | | 1 (0)| 00:00:01 | | |
|* 13 | INDEX UNIQUE SCAN | PK_SAMS_ICLOCK | 1 | | | 0 (0)| 00:00:01 | | |
|* 14 | VIEW | | 1 | 61 | | 2 (0)| 00:00:01 | | |
| 15 | UNION-ALL PARTITION | | | | | | | | |
| 16 | TABLE ACCESS BY INDEX ROWID | SAMS_USERINFO | 1 | 61 | | 3 (0)| 00:00:01 | | |
|* 17 | INDEX UNIQUE SCAN | PK_SAMS_USERINFO | 1 | | | 2 (0)| 00:00:01 | | |
| 18 | NESTED LOOPS | | 1 | 103 | | 10 (10)| 00:00:01 | | |
| 19 | TABLE ACCESS BY INDEX ROWID | SAMS_USERINFO_DIMISSION | 1 | 61 | | 3 (0)| 00:00:01 | | |
|* 20 | INDEX UNIQUE SCAN | PK_SAMS_USERINFO_DIMISSION | 1 | | | 2 (0)| 00:00:01 | | |
|* 21 | VIEW | VW_NSO_1 | 1 | 42 | | 7 (15)| 00:00:01 | | |
| 22 | SORT UNIQUE | | 3 | 192 | | 7 (15)| 00:00:01 | | |
|* 23 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | | |
| 24 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 | | |
|* 25 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 | | |
| 26 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 | | |
| 27 | CONNECT BY PUMP | | | | | | | | |
| 28 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 | | |
|* 29 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 | | |
|* 30 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 0 (0)| 00:00:01 | | |
| 31 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 68 | | 1 (0)| 00:00:01 | | |
| 32 | VIEW | VW_NSO_2 | 3 | 66 | | 7 (15)| 00:00:01 | | |
| 33 | HASH UNIQUE | | 3 | 192 | | 7 (15)| 00:00:01 | | |
|* 34 | FILTER | | | | | | | | |
|* 35 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | | |
| 36 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 | | |
|* 37 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 | | |
| 38 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 | | |
| 39 | CONNECT BY PUMP | | | | | | | | |
| 40 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 | | |
|* 41 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 | | |
------------------------------------------------------------------------------------------------------------------------------------------------------
从执行计划上看sql执行效率非常的不好，开销是从id为10的一步开始骤降：TABLE ACCESS BY GLOBAL INDEX ROWID， 其操作是对IDX1_SAMS_CHECKINOUT这个索引的范围扫描回表拿数据
删除这个索引，然后重新创建ID列的索引
drop index "SAMS"."IDX1_SAMS_CHECKINOUT";
CREATE INDEX "SAMS"."IDX1_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("ID")
针对其他性能较差的sql进行优化
Schema Name: SAMS
SQL ID : bfv69ds34p99n
SQL Text : SELECT ID,SN_ID,CMDCONTENT,CMDCOMMITTIME,CMDTRANSTIME,CMDOVERTIME
,CMDRETURN,USERID FROM SAMS_DEVCMDS WHERE CMDCONTENT IS NOT NULL
AND CMDTRANSTIME IS NULL AND SN_ID=:1 AND ROWNUM<100 ORDER BY
TO_NUMBER(ID)
Bind Variables :
1 - (VARCHAR2(128)):6538992526356
-------------------------------------------------------------------------------
FINDINGS SECTION (1 finding)
-------------------------------------------------------------------------------
1- Index Finding (see explain plans section below)
--------------------------------------------------
The execution plan of this statement can be improved by creating one or more
indices.
Recommendation (estimated benefit: 92.69%)
------------------------------------------
- Consider running the Access Advisor to improve the physical schema design
or creating the recommended index.
create index SAMS.IDX$$_15B1A0001 on SAMS.SAMS_DEVCMDS("SN_ID","CMDTRANSTIME"); -------------------根据建议创建这个索引
Rationale
---------
Creating the recommended indices significantly improves the execution plan
of this statement. However, it might be preferable to run "Access Advisor"
using a representative SQL workload as opposed to a single statement. This
will allow to get comprehensive index recommendations which takes into
account index maintenance overhead and additional space consumption.
-------------------------------------------------------------------------------
EXPLAIN PLANS SECTION
-------------------------------------------------------------------------------
1- Original
-----------
Plan hash value: 2086948762
--------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 87 | 172K| 630 (1)| 00:00:08 |
| 1 | SORT ORDER BY | | 87 | 172K| 630 (1)| 00:00:08 |
|* 2 | COUNT STOPKEY | | | | | |
|* 3 | TABLE ACCESS BY INDEX ROWID| SAMS_DEVCMDS | 87 | 172K| 629 (0)| 00:00:08 |
|* 4 | INDEX RANGE SCAN | IDX_SAMS_DEVCMDS | 908 | | 16 (0)| 00:00:01 |
--------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter(ROWNUM<100)
3 - filter("CMDTRANSTIME" IS NULL AND "CMDCONTENT" IS NOT NULL)
4 - access("SN_ID"=SYS_OP_C2C(:1))
2- Using New Indices
--------------------
Plan hash value: 3352898769
-------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
-------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 87 | 172K| 46 (3)| 00:00:01 |
| 1 | SORT ORDER BY | | 87 | 172K| 46 (3)| 00:00:01 |
|* 2 | COUNT STOPKEY | | | | | |
|* 3 | TABLE ACCESS BY INDEX ROWID| SAMS_DEVCMDS | 87 | 172K| 45 (0)| 00:00:01 |
|* 4 | INDEX RANGE SCAN | IDX$$_15B1A0001 | 95 | | 3 (0)| 00:00:01 |
-------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter(ROWNUM<100)
3 - filter("CMDCONTENT" IS NOT NULL)
4 - access("SN_ID"=SYS_OP_C2C(:1) AND "CMDTRANSTIME" IS NULL)
创建索引如下，都是根据oracle建议做的。：
create index SAMS.IDX$$_15B1D0001 on SAMS.SAMS_USERINFO_DIMISSION("DEPTID") TABLESPACE "SAMSDATA" ;
create index SAMS.IDX$$_15B1A0001 on SAMS.SAMS_DEVCMDS("SN_ID","CMDTRANSTIME");
create index SAMS.IDX$$_15B3A0001 on SAMS.SAMS_CHECKINOUT_BAK(SYS_OP_C2C("BADGENUMBER")) TABLESPACE "SAMSDATA" parallel 12;
Tune the sql
~~~~~~~~~~~~
GENERAL INFORMATION SECTION
-------------------------------------------------------------------------------
Tuning Task Name : TASK_88888
Tuning Task Owner : SYS
Workload Type : Single SQL Statement
Scope : COMPREHENSIVE
Time Limit(seconds): 1800
Completion Status : COMPLETED
Started at : 03/30/2017 11:31:00
Completed at : 03/30/2017 11:46:57
-------------------------------------------------------------------------------
Schema Name: SAMS
SQL ID : cpbt6x15q273d
SQL Text : select count(1) from(select aa.badgenumber,case when valids is
not null then '是' else '否' end as valids from(select
distinct(su.badgenumber),(select distinct('是') from
sams_template st where st.badgenumber=su.badgenumber and
st.template is not null and st.deltag = '0') as valids from
SAMS_USERINFO su inner join SAMS_DEPARTMENTS sd on
su.deptid=sd.deptid where 1=1 and su.SYSTAG='1' and sd.deptid
in ( select T2.Deptid from SAMS_DEPARTMENTS T2 start with
T2.Deptid = '000000' connect by prior T2.DEPTID = T2.SUPDEPTID)
) aa where 1=1 )
-------------------------------------------------------------------------------
FINDINGS SECTION (2 findings)
-------------------------------------------------------------------------------
1- SQL Profile Finding (see explain plans section below)
--------------------------------------------------------
2 potentially better execution plans were found for this statement. Choose
one of the following SQL profiles to implement.
Recommendation (estimated benefit: 98.35%)
------------------------------------------
- Consider accepting the recommended SQL profile.
execute dbms_sqltune.accept_sql_profile(task_name => 'TASK_88888',
task_owner => 'SYS', replace => TRUE);
Recommendation (estimated benefit: 99.98%)
------------------------------------------
- Consider accepting the recommended SQL profile to use parallel execution
for this statement.
execute dbms_sqltune.accept_sql_profile(task_name => 'TASK_88888',
task_owner => 'SYS', replace => TRUE, profile_type =>
DBMS_SQLTUNE.PX_PROFILE);
Executing this query parallel with DOP 96 will improve its response time
99.37% over the SQL profile plan. However, there is some cost in enabling
parallel execution. It will increase the statement's resource consumption by
an estimated 39.06% which may result in a reduction of system throughput.
Also, because these resources are consumed over a much smaller duration, the
response time of concurrent statements might be negatively impacted if
sufficient hardware capacity is not available.
The following data shows some sampled statistics for this SQL from the past
week and projected weekly values when parallel execution is enabled.
Past week sampled statistics for this SQL
-----------------------------------------
Number of executions 1241
Percent of total activity .75
Percent of samples with #Active Sessions > 2*CPU 42.16
Weekly DB time (in sec) 462921.68
Projected statistics with Parallel Execution
--------------------------------------------
Weekly DB time (in sec) 643740.64
2- Alternative Plan Finding
---------------------------
Some alternative execution plans for this statement were found by searching
the system's real-time and historical performance data.
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 1614405204 2017-03-30/09:32:49 7132.651 Cursor Cache original plan
2 2181297630 2017-03-29/19:00:16 19363.989 AWR
Information
-----------
- The Original Plan appears to have the best performance, based on the
elapsed time per execution. However, if you know that one alternative
plan is better than the Original Plan, you can create a SQL plan baseline
for it. This will instruct the Oracle optimizer to pick it over any other
choices in the future.
execute dbms_sqltune.create_sql_plan_baseline(task_name => 'TASK_88888',
owner_name => 'SYS', plan_hash_value => xxxxxxxx);
-------------------------------------------------------------------------------
EXPLAIN PLANS SECTION
-------------------------------------------------------------------------------
1- Original With Adjusted Cost
------------------------------
Plan hash value: 1614405204
--------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 2 | | 1683K (1)| 05:36:42 |
| 1 | SORT AGGREGATE | | 1 | 2 | | | |
| 2 | VIEW | | 18606 | 37212 | | 1683K (1)| 05:36:42 |
| 3 | SORT UNIQUE NOSORT | | 3 | 7833 | | 7 (15)| 00:00:01 |
|* 4 | TABLE ACCESS BY INDEX ROWID | SAMS_TEMPLATE | 3 | 7833 | | 6 (0)| 00:00:01 |
|* 5 | INDEX RANGE SCAN | IDX$$_CBE40001 | 3 | | | 3 (0)| 00:00:01 |
| 6 | HASH UNIQUE | | 18606 | 1835K| 170M| 1683K (1)| 05:36:42 |
| 7 | NESTED LOOPS | | 1571K| 151M| | 1670K (1)| 05:34:05 |
| 8 | NESTED LOOPS | | 3513K| 151M| | 1670K (1)| 05:34:05 |
| 9 | NESTED LOOPS | | 50926 | 2188K| | 7 (15)| 00:00:01 |
| 10 | VIEW | VW_NSO_1 | 3 | 66 | | 7 (15)| 00:00:01 |
| 11 | HASH UNIQUE | | 3 | 252 | | 7 (15)| 00:00:01 |
|* 12 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | |
| 13 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 |
|* 14 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 |
| 15 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 |
| 16 | CONNECT BY PUMP | | | | | | |
| 17 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 |
|* 18 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 |
|* 19 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 16975 | 364K| | 0 (0)| 00:00:01 |
|* 20 | INDEX RANGE SCAN | IDX_SAMS_USERINFO | 69 | | | 3 (0)| 00:00:01 |
|* 21 | TABLE ACCESS BY INDEX ROWID | SAMS_USERINFO | 31 | 1767 | | 69 (0)| 00:00:01 |
--------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
4 - filter("ST"."TEMPLATE" IS NOT NULL)
5 - access("ST"."DELTAG"='0' AND "ST"."BADGENUMBER"=:B1)
12 - access("T2"."SUPDEPTID"=PRIOR NULL)
14 - access("T2"."DEPTID"=U'000000')
18 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
19 - access("SD"."DEPTID"="DEPTID")
20 - access("SU"."DEPTID"="SD"."DEPTID")
21 - filter("SU"."SYSTAG"=U'1')
2- Using SQL Profile
--------------------
Plan hash value: 1215825753
-------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
-------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 2 | | 27702 (1)| 00:05:33 |
| 1 | SORT AGGREGATE | | 1 | 2 | | | |
| 2 | VIEW | | 18606 | 37212 | | 27702 (1)| 00:05:33 |
| 3 | SORT UNIQUE NOSORT | | 3 | 7833 | | 7 (15)| 00:00:01 |
|* 4 | TABLE ACCESS BY INDEX ROWID | SAMS_TEMPLATE | 3 | 7833 | | 6 (0)| 00:00:01 |
|* 5 | INDEX RANGE SCAN | IDX$$_CBE40001 | 3 | | | 3 (0)| 00:00:01 |
| 6 | HASH UNIQUE | | 18606 | 1835K| 170M| 27702 (1)| 00:05:33 |
|* 7 | HASH JOIN | | 1571K| 151M| | 14640 (1)| 00:02:56 |
|* 8 | TABLE ACCESS FULL | SAMS_USERINFO | 18606 | 1035K| | 14627 (1)| 00:02:56 |
| 9 | NESTED LOOPS | | 50926 | 2188K| | 7 (15)| 00:00:01 |
| 10 | VIEW | VW_NSO_1 | 3 | 66 | | 7 (15)| 00:00:01 |
| 11 | HASH UNIQUE | | 3 | 252 | | 7 (15)| 00:00:01 |
|* 12 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | |
| 13 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 |
|* 14 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 |
| 15 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 |
| 16 | CONNECT BY PUMP | | | | | | |
| 17 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 |
|* 18 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 |
|* 19 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 16975 | 364K| | 0 (0)| 00:00:01 |
-------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
4 - filter("ST"."TEMPLATE" IS NOT NULL)
5 - access("ST"."DELTAG"='0' AND "ST"."BADGENUMBER"=:B1)
7 - access("SU"."DEPTID"="SD"."DEPTID")
8 - filter("SU"."SYSTAG"=U'1')
12 - access("T2"."SUPDEPTID"=PRIOR NULL)
14 - access("T2"."DEPTID"=U'000000')
18 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
19 - access("SD"."DEPTID"="DEPTID")
对以上sql进行了执行计划绑定修改
execute dbms_sqltune.accept_sql_profile(task_name => 'TASK_88888',task_owner => 'SYS', replace => TRUE);
SQL> select NAME from dba_sql_profiles;
NAME
------------------------------
coe_8yshc4jbu0qc1_1759800418
SYS_SQLPROF_015b1d66e6010001
SYS_SQLPROF_015b1af651db0000
coe_bw0b67268pva8_561269195
coe_fq1q2q6h7kqf0_561269195
5 rows selected.
SQL> select SQL_TEXT from dba_sql_profiles where name ='SYS_SQLPROF_015b1d66e6010001';
SQL_TEXT
--------------------------------------------------
select count(1) from(select aa.badgenumber,case wh
en valids is not null then '是' else '否' end a
s valids from(select distinct(su.badgenumber),(sel
ect distinct('是') from sams_template st where st
.badgenumber=su.badgenumber and st.template is not
null and st.deltag = '0') as valids from SAMS_USE
RINFO su inner join SAMS_DEPARTMENTS sd on su.dept
id=sd.deptid where 1=1 and su.SYSTAG='1' and sd.
deptid in ( select T2.Deptid from SAMS_DEPARTMENTS
T2 start with T2.Deptid = '000000' connect by pri
or T2.DEPTID = T2.SUPDEPTID) ) aa where 1=1 )
1 row selected.
SQL> select SQL_TEXT from dba_sql_profiles where name ='SYS_SQLPROF_015b1af651db0000';
SQL_TEXT
--------------------------------------------------
SELECT * FROM ( SELECT A.*, ROWNUM RN FROM (select
sd.deptnumber,sd.deptname,su.badgenumber,su.name,
to_char(sc.checktime,'YYYY-MM-DD HH24:MI:SS') as C
HECKTIME,case when rtrim(sc.verifycode)='0' then '
密码' when rtrim(sc.verifycode)='1' then '指纹' wh
en rtrim(sc.verifycode)='2' then '补签' when rtrim
(sc.verifycode)='15' then '面部' when rtrim(sc.ver
ifycode)='ZW' then '指纹' when rtrim(sc.verifycode
)='RL' then '面部' when rtrim(sc.verifycode)='YD'
then '移动打卡(GPS)' when rtrim(sc.verifycode)='EJ
' then '国寿E家' end as verifycode,sl.sn||'('||sl
.alias||')' as devicename, to_char(sc.insystime,'Y
YYY-MM-DD HH24:MI:SS') as INSYSTIME from SAMS_CHEC
KINOUT sc inner join (select badgenumber,name,dept
id from SAMS_USERINFO union all select badgenumber
,name,deptid from SAMS_USERINFO_DIMISSION sd where
1=1 and sd.DEPTID=:1 ) su on su.badgenumber = s
c.badgenumber inner join SAMS_DEPARTMENTS sd on sd
.deptid = su.deptid left join SAMS_ICLOCK sl on sl
.sn=sc.sn where 1=1 and sc.checktime>= to_date(:2
,'yyyy-MM-dd') and sc.checktime<= to_date(:3 ,'yy
yy-MM-dd')+1 and sd.DEPTID=:4 order by sc.check
time,su.name desc ) A WHERE ROWNUM <= :5 ) WHERE
RN > :6
一共做了2个profile如上，针对2个sql，先不动了。
六个变量的sql是前台没有做关联查询的，执行情况跟9个变量的差不多
手工测试也是无法模拟awr报告上面的执行计划，在sql自动优化里面可以看到，这个sql的执行计划已经做了profile，对应的name是SYS_SQLPROF_015b1af651db0000
2017年3月31日 星期五 10:45:22
今天测试一下上面两个索引的效果
create index sams.ind1_sams_iclock on sams.sams_iclock(sn,alias) TABLESPACE "SAMSDATA" parallel 12;
alter index sams.ind1_sams_iclock noparallel;
CREATE INDEX "SAMS"."IDX5_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" (BADGENUMBER,CHECKTIME,SN,VERIFYCODE,INSYSTIME) TABLESPACE "SAMSDATA" parallel 12;
效果不明显，而且影响了已经存在的sql执行，故先删除,其实感觉走了IDX5_SAMS_CHECKINOUT性能能稍微好一点,但是从测试结果上看,可能对原来的执行有影响,所以先不动了
从上图可以看到，实际测试出来的执行计划跟awr报告上不同。
现在要对sql做测试
SELECT /*+ gather_plan_statistics */ *
FROM (SELECT A.*, ROWNUM RN
FROM (select sd.deptnumber,
sd.deptname,
su.badgenumber,
su.name,
to_char(sc.checktime, 'YYYY-MM-DD HH24:MI:SS') as CHECKTIME,
case
when rtrim(sc.verifycode) = '0' then
'密码'
when rtrim(sc.verifycode) = '1' then
'指纹'
when rtrim(sc.verifycode) = '2' then
'补签'
when rtrim(sc.verifycode) = '15' then
'面部'
when rtrim(sc.verifycode) = 'ZW' then
'指纹'
when rtrim(sc.verifycode) = 'RL' then
'面部'
when rtrim(sc.verifycode) = 'YD' then
'移动打卡(GPS)'
when rtrim(sc.verifycode) = 'EJ' then
'国寿E家'
end as verifycode,
sl.sn || '(' || sl.alias || ')' as devicename,
to_char(sc.insystime, 'YYYY-MM-DD HH24:MI:SS') as INSYSTIME
from SAMS_CHECKINOUT sc
inner join (select badgenumber, name, deptid
from SAMS_USERINFO
union all
select badgenumber, name, deptid
from SAMS_USERINFO_DIMISSION sd
where 1 = 1
and sd.deptid in
(select Deptid
from SAMS_DEPARTMENTS T2
start with T2.Deptid = '360710'
connect by prior T2.DEPTID = T2.SUPDEPTID)) su
on su.badgenumber = sc.badgenumber
inner join SAMS_DEPARTMENTS sd
on s d.deptid = su.deptid
left join SAMS_ICLOCK sl
on sl.sn = sc.sn
where 1 = 1
and sc.checktime >= to_date('2017-03-01', 'yyyy-MM-dd')
and sc.checktime <= to_date('2017-03-23', 'yyyy-MM-dd') + 1
and sd.deptid in
(select Deptid
from SAMS_DEPARTMENTS T2
start with T2.Deptid = '360710'
connect by prior T2.DEPTID = T2.SUPDEPTID)
and (su.badgenumber = '36071000000600' or su.name LIKE '%36071000000600%' or sl.sn = '36071000000600')
order by sc.checktime, su.name desc) A
WHERE ROWNUM <= 10)
WHERE RN > 0;
我们通过/*+ gather_plan_statistics */ 收集的相关执行计划及其统计信息与该SQL的AWR报告中的执行计划不同，且逻辑读的数量与AWR报告中的数值也相差巨大。因此，为了更准确的判断问题，按以下方法测试。
1、SQL在生产库（SAMS库的实例 1上，实例名为sams1 ）上，在SQLPLUS中执行。
2、执行后，在同一SQLPLUS窗口中，立即执行以下命令：
select * from table(dbms_xplan.display_cursor('','','allstats projection last'));
结果如下：
PLAN_TABLE_OUTPUT
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | OMem | 1Mem | Used-Mem |
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | | 8 |00:00:31.98 | 11130 | 3323 | | | |
|* 1 | VIEW | | 1 | 2 | 8 |00:00:31.98 | 11130 | 3323 | | | |
|* 2 | COUNT STOPKEY | | 1 | | 8 |00:00:31.98 | 11130 | 3323 | | | |
| 3 | VIEW | | 1 | 2 | 8 |00:00:31.98 | 11130 | 3323 | | | |
|* 4 | SORT ORDER BY STOPKEY | | 1 | 2 | 8 |00:00:31.98 | 11130 | 3323 | 2048 | 2048 | 2048 (0)|
|* 5 | FILTER | | 1 | | 8 |00:00:31.57 | 11130 | 3323 | | | |
|* 6 | HASH JOIN OUTER | | 1 | 2 | 5816 |00:00:30.90 | 11130 | 3323 | 1617K| 1078K| 1678K (0)|
| 7 | NESTED LOOPS | | 1 | 802 | 5816 |00:00:33.75 | 9263 | 3320 | | | |
| 8 | NESTED LOOPS | | 1 | 1472 | 6140 |00:00:00.90 | 3136 | 77 | | | |
| 9 | NESTED LOOPS | | 1 | 92 | 1160 |00:00:00.11 | 353 | 18 | | | |
| 10 | NESTED LOOPS | | 1 | 3 | 19 |00:00:00.01 | 43 | 0 | | | |
| 11 | VIEW |VW_NSO_2 | 1 | 3 | 19 |00:00:00.01 | 15 | 0 | | | |
| 12 | HASH UNIQUE | | 1 | 3 | 19 |00:00:00.01 | 15 | 0 | 1263K| 1263K| 1372K (0)|
|* 13 | CONNECT BY WITH FILTERING (UNIQUE) | | 1 | | 19 |00:00:00.01 | 15 | 0 | 2048 | 2048 | 2048 (0)|
| 14 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 1 | 1 |00:00:00.01 | 3 | 0 | | | |
|* 15 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | 1 | 1 |00:00:00.01 | 2 | 0 | | | |
| 16 | NESTED LOOPS | | 3 | 2 | 18 |00:00:00.01 | 12 | 0 | | | |
| 17 | CONNECT BY PUMP | | 3 | | 19 |00:00:00.01 | 0 | 0 | | | |
| 18 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 2 | 18 |00:00:00.01 | 12 | 0 | | | |
|* 19 | INDEX RANGE SCAN | SUPDEPTID_IDX | 19 | 2 | 18 |00:00:00.01 | 9 | 0 | | | |
| 20 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 28 | 0 | | | |
|* 21 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 9 | 0 | | | |
| 22 | VIEW | | 19 | 31 | 1160 |00:00:00.13 | 310 | 18 | | | |
| 23 | UNION-ALL PARTITION | | 19 | | 1160 |00:00:00.13 | 310 | 18 | | | |
|* 24 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 19 | 68 | 692 |00:00:00.08 | 84 | 10 | | | |
|* 25 | HASH JOIN | | 19 | 3 | 468 |00:00:00.08 | 226 | 8 | 1393K| 1393K| 445K (0)|
|* 26 | VIEW | VW_NSO_1 | 19 | 3 | 19 |00:00:00.01 | 163 | 0 | | | |
| 27 | SORT UNIQUE | | 19 | 3 | 361 |00:00:00.01 | 163 | 0 | 2048 | 2048 | 2048 (0)|
|* 28 | CONNECT BY WITH FILTERING (UNIQUE)| | 19 | | 361 |00:00:00.01 | 163 | 0 | 2048 | 2048 | 2048 (0)|
| 29 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 43 | 0 | | | |
|* 30 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 24 | 0 | | | |
| 31 | NESTED LOOPS | | 57 | 2 | 342 |00:00:00.01 | 120 | 0 | | | |
| 32 | CONNECT BY PUMP | | 57 | | 361 |00:00:00.01 | 0 | 0 | | | |
| 33 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 361 | 2 | 342 |00:00:00.01 | 120 | 0 | | | |
|* 34 | INDEX RANGE SCAN | SUPDEPTID_IDX | 361 | 2 | 342 |00:00:00.01 | 63 | 0 | | | |
|* 35 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 19 | 44 | 468 |00:00:00.07 | 63 | 8 | | | |
|* 36 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 1160 | 16 | 6140 |00:00:00.62 | 2783 | 59 | | | |
|* 37 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 6140 | 9 | 5816 |00:00:30.00 | 6127 | 3243 | | | |
| 38 | TABLE ACCESS FULL | SAMS_ICLOCK | 1 | 6313 | 6328 |00:00:00.03 | 1867 | 3 | | | |
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
1、在目录下创建一个脚本文件，用来获取更加相信的信息。
2、在SQLPLUS中，执行以下命令：@sql_rpt 3271368959 1 24114 24115 99vaabs5ptktb
4、执行完成后，在该目录下生成一个HTML文档，拿到更加详细的sql统计信息附带表的数据信息
注：命令参数的说明：3271368959 为数据库IDDBID
1 为 实例号instance_number
24114 为 快照的开始snap_id
24115为 快照的结束 snap_id
99vaabs5ptktb 为 相关SQL的sql_id
初步分析如下：
1、该SQL执行一次的逻辑读为11130块次，其中第37步的逻辑读为6127块次，占了一半还多。而该步的操作是根据前面的获取到的ROWID，回表SAMS_CHECKINOUT获取"SC".“CHECKTIME"[TIMESTAMP,11], "SC"."VERIFYCODE"[CHARACTER,4], "SC"."SN"[NVARCHAR2,40], "SC"."INSYSTIME"[TIMESTAMP,11]四列的内容。
2、第38步对SAMS_ICLOCK表的全表扫描，对整个SQL的逻辑读也有较大贡献。但这个不是问题的关键
另外索引上有两个想法：
1、新建组合索引或改造已有索引，按如下顺序构建组合索引：
（BADGENUMBER, CHECKTIME, SN, VERIFYCODE, INSYSTIME）
2、在表SAMS_ICLOCK上创建组合索引，列名及顺序如下：
（SN, ALIAS）
这两个索引先暂时不创建，先从其他方面入手
由于在测试过程中，其生成的执行计划从未与AWR中显示的执行计划一致过。所以，这也许是造成不能模拟出2亿个块次逻辑读的一个原因。因此，把有问题的SQL的执行计划绑定到的测试SQL上。然后执行该测试SQL，并观察和分析测试SQL的执行过程和结果来做出进一步的处理。
为完成上述想法，需要用到ORACLE的SQL PROFILE在不改变SQL文本的前提下，改变其执行计划。操作方法如下：
1、在SQLPLUS中，生成问题SQL的创建SQL PROFILE的脚本。该脚本执行后，会要求分别输入SQL_ID和PLAN_HASH_VALUE的值。而我们问题SQL的SQL_ID是99vaabs5ptktb，PLAN_HASH_VALUE的值是4243346097。脚本执行完成后，会在运行SQLPLUS的当前目录中生成一个脚本文件。其名称在执行脚本过程中的结尾有显示。为描述方便，简称该生成的S脚本文件为“问题SQL脚本”。
2、再次执行该脚本，只不过这次输入测试SQL的SQL_ID和PLAN_HASH_VALUE。其SQL_ID为3kys9xsdjrm3b，PLAN_HASH_VALUE的值为561269195。为描述方便，简称该生成的脚本文件为“测试SQL脚本”
3、在文本编辑工具中分别打开上述两个脚本，将问题SQL脚本中出现在以下特征文字之间的文字（不包含特征文字 ）复制并覆盖掉测试SQL脚本中同样位置的原文字：
h := SYS.SQLPROF_ATTR(
………
……….
……….
:signature := DBMS_SQLTUNE.SQLTEXT_TO_SIGNATURE(sql_txt);
4、将测试SQL脚本另存为一个文件（后缀名为.sql）
5、在SQLPLUS中执行第4步另存后的脚本。
6、在SQLPLUS中原封不动的执行原测试SQL。(注：执行前设置SQLPLUS格式,以避免格式混乱。比如 set lines 200 set pagesize 100 )
7、执行 select * from table(dbms_xplan.display_cursor('','','allstats projection last'));
如果正常生成脚本，没有报错信息出现在屏幕上，就是生成脚本成功。比如出现下面的提示就是正常的：
“Execute coe_xfr_sql_profile_99vaabs5ptktb_4243346097.sql
on TARGET system in order to create a custom SQL Profile
with plan 4243346097 linked to adjusted sql_text.
COE_XFR_SQL_PROFILE completed.”
如果出现
“ERROR at line 1:
ORA-20100: SQL_TEXT for SQL_ID 3kys9xsdjrm3b was not found in memory (gv$sqltext_with_newlines) or AWR (dba_hist_sqltext).
ORA-06512: at line 3”
这样的信息就是生成脚本出错了。
错误的原因是3kys9xsdjrm3b这条SQL_ID的SQL已经不在内存中，而且也没有被捕获到AWR中。解决的方法就是立即把这条SQL重跑一次，执行select * from table(dbms_xplan.display_cursor('','','allstats projection last')); 就可以看到该sql的id和plan hash value，然后再执行这个脚本。
我们把绑定变量替换为实际的值，运行后发现没有发生2亿多个块次的逻辑读。而且，把各种特殊值都试过，也没有重现发生2亿多个块次的逻辑读。
在测试过程中，发现这些执行计划，和从AWR中提取出来的执行计划就没有一样过。由于计划不同，访问相关对象的方法和路径也就不同，就算是用这样的方法模拟出了2亿个块次的逻辑读，也不是我们真正要解决的那个问题。因此，目前的方向是首先模似出一致的执行计划。
或者说，现在怀疑问题可能与执行计划有关。 简单粗暴的办法是把该SQL的CURSOR清除，让数据库重新生成一个新的执行计划。这个操作之前已经做过，将整个的共享池缓存清楚，让sql重新生成执行计划，结果并没有效果。而且数据库打了最新的补丁，也同样没有效果，基本可以排除BUG的顾虑。
我之前操作有误，把执行计划固定到问题sql上了，现在删除掉了
SQL> SELECT name from dba_sql_profiles;
NAME
------------------------------
coe_99vaabs5ptktb_4243346097
SQL> BEGIN
2 DBMS_SQLTUNE.DROP_SQL_PROFILE(name => 'coe_99vaabs5ptktb_4243346097');
3 END;
4 /
PL/SQL procedure successfully completed.
SQL> SELECT name, created,category,sql_Text from dba_sql_profiles ORDER BY created DESC;
no rows selected
2017年3月29日 星期三 16:06:42
SQL>SELECT /*+ gather_plan_statistics */ * FROM (SELECT A.*, ROWNUM RN
FROM (select sd.deptnumber, 2
3 sd.deptname,
4 su.badgenumber,
5 su.name,
6 to_char(sc.checktime, 'YYYY-MM-DD HH24:MI:SS') as CHECKTIME,
7 case
8 when rtrim(sc.verifycode) = '0' then 'A'
9 when rtrim(sc.verifycode) = '1' then 'B'
10 when rtrim(sc.verifycode) = '2' then 'D'
11 when rtrim(sc.verifycode) = '15' then 'C'
12 when rtrim(sc.verifycode) = 'ZW' then 'B'
13 when rtrim(sc.verifycode) = 'RL' then 'C'
14 when rtrim(sc.verifycode) = 'YD' then 'E'
15 when rtrim(sc.verifycode) = 'EJ' then 'F'
16 end as verifycode,
17 sl.sn || '(' || sl.alias || ')' as devicename,
18 to_char(sc.insystime, 'YYYY-MM-DD HH24:MI:SS') as INSYSTIME
19 from SAMS_CHECKINOUT sc
20 inner join (select badgenumber, name, deptid
21 from SAMS_USERINFO
22 union all
23 select badgenumber, name, deptid
24 from SAMS_USERINFO_DIMISSION sd
25 where 1 = 1
26 and sd.deptid in
27 (select Deptid
28 from SAMS_DEPARTMENTS T2
29 start with T2.Deptid = '360710'
30 connect by prior T2.DEPTID = T2.SUPDEPTID)) su
31 on su.badgenumber = sc.badgenumber
32 inner join SAMS_DEPARTMENTS sd
33 on sd.deptid = su.deptid
34 left join SAMS_ICLOCK sl
35 on sl.sn = sc.sn
36 where 1 = 1
37 and sc.checktime >= to_date('2017-03-01', 'yyyy-MM-dd')
38 and sc.checktime <= to_date('2017-03-23', 'yyyy-MM-dd') + 1
39 and sd.deptid in
40 (select Deptid
41 from SAMS_DEPARTMENTS T2
42 start with T2.Deptid = '360710'
43 connect by prior T2.DEPTID = T2.SUPDEPTID)
44 and (su.badgenumber = '36071000000600' or su.name LIKE '%36071000000600%' or sl.sn = '36071000000600')
45 order by sc.checktime, su.name desc) A
46 WHERE ROWNUM <= 10)
47 WHERE RN > 0;
select * from table(dbms_xplan.display_cursor('','','allstats projection last'));
SQL>
PLAN_TABLE_OUTPUT
--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
SQL_ID bw0b67268pva8, child number 1
-------------------------------------
SELECT /*+ gather_plan_statistics */ * FROM (SELECT A.*, ROWNUM RN
FROM (select sd.deptnumber, sd.deptname,
su.badgenumber, su.name,
to_char(sc.checktime, 'YYYY-MM-DD HH24:MI:SS') as
CHECKTIME, case when
rtrim(sc.verifycode) = '0' then 'A' when
rtrim(sc.verifycode) = '1' then 'B' when
rtrim(sc.verifycode) = '2' then 'D' when
rtrim(sc.verifycode) = '15' then 'C' when
rtrim(sc.verifycode) = 'ZW' then 'B' when
rtrim(sc.verifycode) = 'RL' then 'C' when
rtrim(sc.verifycode) = 'YD' then 'E' when
rtrim(sc.verifycode) = 'EJ' then 'F' end as
verifycode, sl.sn || '(' || sl.alias || ')' as
devicename, to_char
Plan hash value: 3623936353
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Starts | E-Rows | A-Rows | A-Time | Buffers | Reads | OMem | 1Mem | Used-Mem |
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | | 8 |00:00:00.15 | 11988 | 1 | | | |
|* 1 | VIEW | | 1 | 10 | 8 |00:00:00.15 | 11988 | 1 | | | |
|* 2 | COUNT STOPKEY | | 1 | | 8 |00:00:00.15 | 11988 | 1 | | | |
| 3 | VIEW | | 1 | 14 | 8 |00:00:00.15 | 11988 | 1 | | | |
|* 4 | SORT ORDER BY STOPKEY | | 1 | 14 | 8 |00:00:00.15 | 11988 | 1 | 2048 | 2048 | 2048 (0)|
|* 5 | FILTER | | 1 | | 8 |00:00:00.07 | 11988 | 1 | | | |
|* 6 | HASH JOIN RIGHT OUTER | | 1 | 14 | 5818 |00:00:00.12 | 11988 | 1 | 1361K| 1361K| 1487K (0)|
| 7 | TABLE ACCESS FULL | SAMS_ICLOCK | 1 | 6332 | 6336 |00:00:00.07 | 376 | 0 | | | |
| 8 | NESTED LOOPS | | 1 | 5442 | 5818 |00:00:00.04 | 11612 | 1 | | | |
| 9 | NESTED LOOPS | | 1 | 11210 | 8062 |00:00:00.01 | 3593 | 0 | | | |
| 10 | NESTED LOOPS | | 1 | 590 | 1174 |00:00:00.01 | 374 | 0 | | | |
| 11 | NESTED LOOPS | | 1 | 19 | 19 |00:00:00.01 | 44 | 0 | | | |
| 12 | VIEW | VW_NSO_2 | 1 | 19 | 19 |00:00:00.01 | 16 | 0 | | | |
| 13 | HASH UNIQUE | | 1 | 19 | 19 |00:00:00.01 | 16 | 0 | 1263K| 1263K| 1369K (0)|
|* 14 | CONNECT BY WITH FILTERING (UNIQUE) | | 1 | | 19 |00:00:00.01 | 16 | 0 | 2048 | 2048 | 2048 (0)|
| 15 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 1 | 1 |00:00:00.01 | 3 | 0 | | | |
|* 16 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | 1 | 1 |00:00:00.01 | 2 | 0 | | | |
| 17 | NESTED LOOPS | | 3 | 2 | 18 |00:00:00.01 | 13 | 0 | | | |
| 18 | CONNECT BY PUMP | | 3 | | 19 |00:00:00.01 | 0 | 0 | | | |
| 19 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 2 | 18 |00:00:00.01 | 13 | 0 | | | |
|* 20 | INDEX RANGE SCAN | SUPDEPTID_IDX | 19 | 2 | 18 |00:00:00.01 | 9 | 0 | | | |
| 21 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 28 | 0 | | | |
|* 22 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 9 | 0 | | | |
| 23 | VIEW | | 19 | 31 | 1174 |00:00:00.01 | 330 | 0 | | | |
| 24 | UNION-ALL PARTITION | | 19 | | 1174 |00:00:00.01 | 330 | 0 | | | |
|* 25 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 19 | 69 | 706 |00:00:00.01 | 85 | 0 | | | |
|* 26 | HASH JOIN | | 19 | 3 | 468 |00:00:00.01 | 245 | 0 | 1393K| 1393K| 716K (0)|
|* 27 | VIEW | VW_NSO_1 | 19 | 3 | 19 |00:00:00.01 | 182 | 0 | | | |
| 28 | SORT UNIQUE | | 19 | 3 | 361 |00:00:00.01 | 182 | 0 | 2048 | 2048 | 2048 (0)|
|* 29 | CONNECT BY WITH FILTERING (UNIQUE)| | 19 | | 361 |00:00:00.01 | 182 | 0 | 2048 | 2048 | 2048 (0)|
| 30 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 43 | 0 | | | |
|* 31 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 19 | 1 | 19 |00:00:00.01 | 24 | 0 | | | |
| 32 | NESTED LOOPS | | 57 | 2 | 342 |00:00:00.01 | 139 | 0 | | | |
| 33 | CONNECT BY PUMP | | 57 | | 361 |00:00:00.01 | 0 | 0 | | | |
| 34 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 361 | 2 | 342 |00:00:00.01 | 139 | 0 | | | |
|* 35 | INDEX RANGE SCAN | SUPDEPTID_IDX | 361 | 2 | 342 |00:00:00.01 | 63 | 0 | | | |
|* 36 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 19 | 45 | 468 |00:00:00.01 | 63 | 0 | | | |
|* 37 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 1174 | 19 | 8062 |00:00:00.01 | 3219 | 0 | | | |
|* 38 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 8062 | 9 | 5818 |00:00:00.06 | 8019 | 1 | | | |
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("RN">0)
2 - filter(ROWNUM<=10)
4 - filter(ROWNUM<=10)
5 - filter(("SU"."BADGENUMBER"=U'36071000000600' OR ("SU"."NAME" LIKE U'%36071000000600%' AND "SU"."NAME" IS NOT NULL AND "SU"."NAME" IS NOT NULL) OR
"SL"."SN"=U'36071000000600'))
6 - access("SL"."SN"="SC"."SN")
14 - access("T2"."SUPDEPTID"=PRIOR NULL)
16 - access("T2"."DEPTID"=U'360710')
20 - access("connect$_by$_pump$_019"."prior T2.DEPTID "="T2"."SUPDEPTID")
22 - access("SD"."DEPTID"="DEPTID")
25 - access("DEPTID"="SD"."DEPTID")
26 - access("SD"."DEPTID"="DEPTID")
27 - filter("DEPTID"="SD"."DEPTID")
29 - access("T2"."SUPDEPTID"=PRIOR NULL)
31 - access("T2"."DEPTID"=U'360710')
35 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
36 - access("DEPTID"="SD"."DEPTID")
37 - access("SU"."BADGENUMBER"="SC"."BADGENUMBER")
38 - filter(("SC"."CHECKTIME"<=TIMESTAMP' 2017-03-24 00:00:00' AND "SC"."CHECKTIME">=TIMESTAMP' 2017-03-01 00:00:00'))
Column Projection Information (identified by operation id):
-----------------------------------------------------------
1 - "from$_subquery$_001"."DEPTNUMBER"[NVARCHAR2,80], "from$_subquery$_001"."DEPTNAME"[NVARCHAR2,400], "from$_subquery$_001"."BADGENUMBER"[NVARCHAR2,48],
"from$_subquery$_001"."NAME"[NVARCHAR2,48], "from$_subquery$_001"."CHECKTIME"[VARCHAR2,19], "from$_subquery$_001"."VERIFYCODE"[CHARACTER,1],
"from$_subquery$_001"."DEVICENAME"[NVARCHAR2,124], "from$_subquery$_001"."INSYSTIME"[VARCHAR2,19], "RN"[NUMBER,22]
2 - "A"."DEPTNUMBER"[NVARCHAR2,80], "A"."DEPTNAME"[NVARCHAR2,400], "A"."BADGENUMBER"[NVARCHAR2,48], "A"."NAME"[NVARCHAR2,48], "A"."CHECKTIME"[VARCHAR2,19],
"A"."VERIFYCODE"[CHARACTER,1], "A"."DEVICENAME"[NVARCHAR2,124], "A"."INSYSTIME"[VARCHAR2,19], ROWNUM[4]
3 - "A"."DEPTNUMBER"[NVARCHAR2,80], "A"."DEPTNAME"[NVARCHAR2,400], "A"."BADGENUMBER"[NVARCHAR2,48], "A"."NAME"[NVARCHAR2,48], "A"."CHECKTIME"[VARCHAR2,19],
"A"."VERIFYCODE"[CHARACTER,1], "A"."DEVICENAME"[NVARCHAR2,124], "A"."INSYSTIME"[VARCHAR2,19]
4 - (#keys=2) "SC"."CHECKTIME"[TIMESTAMP,11], INTERNAL_FUNCTION("SU"."NAME")[48], "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400],
"SU"."BADGENUMBER"[NVARCHAR2,48], TO_CHAR(INTERNAL_FUNCTION("SC"."INSYSTIME"),'YYYY-MM-DD HH24:MI:SS')[19], TO_CHAR(INTERNAL_FUNCTION("SC"."CHECKTIME"),'YYYY-MM-DD
HH24:MI:SS')[19], CASE RTRIM("SC"."VERIFYCODE") WHEN '0' THEN 'A' WHEN '1' THEN 'B' WHEN '2' THEN 'D' WHEN '15' THEN 'C' WHEN 'ZW' THEN 'B' WHEN 'RL' THEN 'C' WHEN
'YD' THEN 'E' WHEN 'EJ' THEN 'F' END [1], "SL"."SN"||U'('||"SL"."ALIAS"||U')'[124]
5 - "SL"."SN"[NVARCHAR2,40], "SL"."ALIAS"[NVARCHAR2,80], "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400], "SU"."BADGENUMBER"[NVARCHAR2,48],
"SU"."NAME"[NVARCHAR2,48], "SC"."CHECKTIME"[TIMESTAMP,11], "SC"."VERIFYCODE"[CHARACTER,4], "SC"."INSYSTIME"[TIMESTAMP,11]
6 - (#keys=1) "SL"."SN"[NVARCHAR2,40], "SL"."ALIAS"[NVARCHAR2,80], "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400],
"SU"."BADGENUMBER"[NVARCHAR2,48], "SU"."NAME"[NVARCHAR2,48], "SC"."CHECKTIME"[TIMESTAMP,11], "SC"."VERIFYCODE"[CHARACTER,4], "SC"."INSYSTIME"[TIMESTAMP,11]
7 - "SL"."SN"[NVARCHAR2,40], "SL"."ALIAS"[NVARCHAR2,80]
8 - "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400], "SU"."BADGENUMBER"[NVARCHAR2,48], "SU"."NAME"[NVARCHAR2,48], "SC"."CHECKTIME"[TIMESTAMP,11],
"SC"."VERIFYCODE"[CHARACTER,4], "SC"."SN"[NVARCHAR2,40], "SC"."INSYSTIME"[TIMESTAMP,11]
9 - "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400], "SU"."BADGENUMBER"[NVARCHAR2,48], "SU"."NAME"[NVARCHAR2,48], "SC".ROWID[ROWID,10]
10 - "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400], "SU"."BADGENUMBER"[NVARCHAR2,48], "SU"."NAME"[NVARCHAR2,48]
11 - "SD"."DEPTID"[NVARCHAR2,80], "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400]
12 - "DEPTID"[NVARCHAR2,80]
13 - "DEPTID"[NVARCHAR2,80]
14 - "T2"."SUPDEPTID"[NVARCHAR2,80], "T2"."DEPTID"[NVARCHAR2,80], PRIOR NULL[80], LEVEL[4]
15 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
16 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80]
17 - "connect$_by$_pump$_019"."prior T2.DEPTID "[NVARCHAR2,80], "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
18 - "connect$_by$_pump$_019"."prior T2.DEPTID "[NVARCHAR2,80]
19 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
20 - "T2".ROWID[ROWID,10], "T2"."SUPDEPTID"[NVARCHAR2,80]
21 - "SD"."DEPTID"[NVARCHAR2,80], "SD"."DEPTNUMBER"[NVARCHAR2,80], "SD"."DEPTNAME"[NVARCHAR2,400]
22 - "SD".ROWID[ROWID,10], "SD"."DEPTID"[NVARCHAR2,80]
23 - "SU"."BADGENUMBER"[NVARCHAR2,48], "SU"."NAME"[NVARCHAR2,48]
24 - STRDEF[48], STRDEF[48], STRDEF[80]
25 - "BADGENUMBER"[NVARCHAR2,48], "NAME"[NVARCHAR2,48], "DEPTID"[NVARCHAR2,80]
26 - (#keys=1) "SD"."DEPTID"[NVARCHAR2,80], "BADGENUMBER"[NVARCHAR2,48], "NAME"[NVARCHAR2,48]
27 - "DEPTID"[NVARCHAR2,80]
28 - (#keys=1) "DEPTID"[NVARCHAR2,80]
29 - "T2"."SUPDEPTID"[NVARCHAR2,80], "T2"."DEPTID"[NVARCHAR2,80], PRIOR NULL[80], LEVEL[4]
30 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
31 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80]
32 - "connect$_by$_pump$_008"."prior T2.DEPTID "[NVARCHAR2,80], "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
33 - "connect$_by$_pump$_008"."prior T2.DEPTID "[NVARCHAR2,80]
34 - "T2".ROWID[ROWID,10], "T2"."DEPTID"[NVARCHAR2,80], "T2"."SUPDEPTID"[NVARCHAR2,80]
35 - "T2".ROWID[ROWID,10], "T2"."SUPDEPTID"[NVARCHAR2,80]
36 - "BADGENUMBER"[NVARCHAR2,48], "NAME"[NVARCHAR2,48], "SD"."DEPTID"[NVARCHAR2,80]
37 - "SC".ROWID[ROWID,10]
38 - "SC"."CHECKTIME"[TIMESTAMP,11], "SC"."VERIFYCODE"[CHARACTER,4], "SC"."SN"[NVARCHAR2,40], "SC"."INSYSTIME"[TIMESTAMP,11]
按照之前的方法重新测试，执行计划还是跟awr上面不一样，手工绑sqlprofile也不行，再寻找其他出路。
2017年3月30日 星期四 9:54:28
使用oracle的sql 自动优化功能，看看是否可以模拟出跟awr报告上面一样的执行计划，看看其结果如何：
GENERAL INFORMATION SECTION
-------------------------------------------------------------------------------
Tuning Task Name : TASK_88857
Tuning Task Owner : SYS
Workload Type : Single SQL Statement
Scope : COMPREHENSIVE
Time Limit(seconds): 1800
Completion Status : COMPLETED
Started at : 03/30/2017 09:20:25
Completed at : 03/30/2017 09:22:27
-------------------------------------------------------------------------------
Schema Name: SAMS
SQL ID : 99vaabs5ptktb
SQL Text : SELECT * FROM ( SELECT A.*, ROWNUM RN FROM (select
sd.deptnumber,sd.deptname,su.badgenumber,su.name,to_char(sc.check
time,'YYYY-MM-DD HH24:MI:SS') as CHECKTIME,case when
rtrim(sc.verifycode)='0' then '密码' when rtrim(sc.verifycode)='1'
then '指纹' when rtrim(sc.verifycode)='2' then '补签' when
rtrim(sc.verifycode)='15' then '面部' when
rtrim(sc.verifycode)='ZW' then '指纹' when
rtrim(sc.verifycode)='RL' then '面部' when
rtrim(sc.verifycode)='YD' then '移动打卡(GPS)' when
rtrim(sc.verifycode)='EJ' then '国寿E家' end as
verifycode,sl.sn||'('||sl.alias||')' as
devicename,to_char(sc.insystime,'YYYY-MM-DD HH24:MI:SS') as
INSYSTIME from SAMS_CHECKINOUT sc inner join (select
badgenumber, name, deptid from SAMS_USERINFO union all select
badgenumber, name, deptid from SAMS_USERINFO_DIMISSION sd where
1=1 and sd.deptid in(select Deptid from SAMS_DEPARTMENTS T2
start with T2.Deptid = :1 connect by prior T2.DEPTID
=T2.SUPDEPTID)) su on su.badgenumber = sc.badgenumber inner join
SAMS_DEPARTMENTS sd on sd.deptid = su.deptid left join
SAMS_ICLOCK sl on sl.sn=sc.sn where 1=1 and sc.checktime>=
to_date(:2 ,'yyyy-MM-dd') and sc.checktime<= to_date(:3
,'yyyy-MM-dd')+1 and sd.deptid in(select Deptid from
SAMS_DEPARTMENTS T2 start with T2.Deptid = :4 connect by prior
T2.DEPTID =T2.SUPDEPTID) and (su.badgenumber=:5 or su.name LIKE
:6 or sl.sn=:7 ) order by sc.checktime,su.name desc ) A WHERE
ROWNUM <= :8 ) WHERE RN > :9
Bind Variables :
1 - (VARCHAR2(32)):350627
2 - (VARCHAR2(32)):2017-03-01
3 - (VARCHAR2(32)):2017-03-30
4 - (VARCHAR2(32)):350627
5 - (VARCHAR2(32)):35062700001791
6 - (VARCHAR2(32)):%35062700001791%
7 - (VARCHAR2(32)):35062700001791
8 - (NUMBER):10
9 - (NUMBER):0
-------------------------------------------------------------------------------
FINDINGS SECTION (1 finding)
-------------------------------------------------------------------------------
1- Alternative Plan Finding
---------------------------
Some alternative execution plans for this statement were found by searching
the system's real-time and historical performance data.
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 3018912096 2017-03-30/09:20:49 0.203 Cursor Cache original plan
2 205839464 2017-03-28/12:00:08 1.492 AWR
3 4243346097 2017-03-30/08:00:34 33323.697 AWR
Information
-----------
- The Original Plan appears to have the best performance, based on the
elapsed time per execution. However, if you know that one alternative
plan is better than the Original Plan, you can create a SQL plan baseline
for it. This will instruct the Oracle optimizer to pick it over any other
choices in the future.
execute dbms_sqltune.create_sql_plan_baseline(task_name => 'TASK_88857',
owner_name => 'SYS', plan_hash_value => xxxxxxxx);
-------------------------------------------------------------------------------
ADDITIONAL INFORMATION SECTION
-------------------------------------------------------------------------------
- The optimizer could not merge the view at line ID 3 of the execution plan.
The optimizer cannot merge a view that contains an "ORDER BY" clause unless
the statement is a "DELETE" or an "UPDATE" and the parent query is the top
most query in the statement.
- The optimizer could not merge the view at line ID 1 of the execution plan.
The optimizer cannot merge a view that contains a "ROWNUM" pseudo column.
-------------------------------------------------------------------------------
EXPLAIN PLANS SECTION
-------------------------------------------------------------------------------
1- Original
-----------
Plan hash value: 3018912096
------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 3 | 1209 | 1604 (1)| 00:00:20 | | |
|* 1 | VIEW | | 3 | 1209 | 1604 (1)| 00:00:20 | | |
|* 2 | COUNT STOPKEY | | | | | | | |
| 3 | VIEW | | 3 | 1170 | 1604 (1)| 00:00:20 | | |
|* 4 | SORT ORDER BY STOPKEY | | 3 | 804 | 1604 (1)| 00:00:20 | | |
|* 5 | FILTER | | | | | | | |
|* 6 | HASH JOIN OUTER | | 3 | 804 | 1603 (1)| 00:00:20 | | |
| 7 | NESTED LOOPS | | 1088 | 233K| 1520 (1)| 00:00:19 | | |
| 8 | NESTED LOOPS | | 1767 | 233K| 1520 (1)| 00:00:19 | | |
| 9 | NESTED LOOPS | | 93 | 14043 | 104 (1)| 00:00:02 | | |
| 10 | NESTED LOOPS | | 3 | 270 | 10 (10)| 00:00:01 | | |
| 11 | VIEW | VW_NSO_2 | 3 | 66 | 7 (15)| 00:00:01 | | |
| 12 | HASH UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 13 | FILTER | | | | | | | |
|* 14 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | |
| 15 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 16 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 17 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 18 | CONNECT BY PUMP | | | | | | | |
| 19 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 20 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
| 21 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 68 | 1 (0)| 00:00:01 | | |
|* 22 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 0 (0)| 00:00:01 | | |
| 23 | VIEW | | 31 | 1891 | 60 (0)| 00:00:01 | | |
| 24 | UNION-ALL PARTITION | | | | | | | |
|* 25 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 69 | 4209 | 4 (0)| 00:00:01 | | |
|* 26 | HASH JOIN | | 3 | 309 | 10 (10)| 00:00:01 | | |
|* 27 | VIEW | VW_NSO_1 | 3 | 126 | 7 (15)| 00:00:01 | | |
| 28 | SORT UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 29 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | |
| 30 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 31 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 32 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 33 | CONNECT BY PUMP | | | | | | | |
| 34 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 35 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
|* 36 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 46 | 2806 | 3 (0)| 00:00:01 | | |
|* 37 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 19 | | 3 (0)| 00:00:01 | | |
|* 38 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 12 | 828 | 23 (0)| 00:00:01 | ROWID | ROWID |
| 39 | TABLE ACCESS FULL | SAMS_ICLOCK | 6337 | 297K| 83 (0)| 00:00:01 | | |
------------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("RN">:9)
2 - filter(ROWNUM<=:8)
4 - filter(ROWNUM<=:8)
5 - filter("SU"."BADGENUMBER"=SYS_OP_C2C(:5) OR "SU"."NAME" LIKE SYS_OP_C2C(:6) OR "SL"."SN"=SYS_OP_C2C(:7))
6 - access("SL"."SN"(+)="SC"."SN")
13 - filter(TO_DATE(:3,'yyyy-MM-dd')+1>=TO_DATE(:2,'yyyy-MM-dd'))
14 - access("T2"."SUPDEPTID"=PRIOR NULL)
16 - access("T2"."DEPTID"=SYS_OP_C2C(:4))
20 - access("connect$_by$_pump$_019"."prior T2.DEPTID "="T2"."SUPDEPTID")
22 - access("SD"."DEPTID"="DEPTID")
25 - access("DEPTID"="SD"."DEPTID")
26 - access("SD"."DEPTID"="DEPTID")
27 - filter("DEPTID"="SD"."DEPTID")
29 - access("T2"."SUPDEPTID"=PRIOR NULL)
31 - access("T2"."DEPTID"=SYS_OP_C2C(:1))
35 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
36 - access("DEPTID"="SD"."DEPTID")
37 - access("SU"."BADGENUMBER"="SC"."BADGENUMBER")
38 - filter("SC"."CHECKTIME">=TO_DATE(:2,'yyyy-MM-dd') AND "SC"."CHECKTIME"<=TO_DATE(:3,'yyyy-MM-dd')+1)
-------------------------------------------------------------------------------
ALTERNATIVE PLANS SECTION
-------------------------------------------------------------------------------
Plan 1
------
Plan Origin :Cursor Cache
Plan Hash Value :3018912096
Executions :39
Elapsed Time :0.203 sec
CPU Time :0.127 sec
Buffer Gets :27754
Disk Reads :38
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 | Pstart| Pstop |
------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 10 | 4030 | 1604 (1)| 00:00:20 | | |
|* 1 | VIEW | | 10 | 4030 | 1604 (1)| 00:00:20 | | |
|* 2 | COUNT STOPKEY | | | | | | | |
| 3 | VIEW | | 55 | 21450 | 1604 (1)| 00:00:20 | | |
|* 4 | SORT ORDER BY STOPKEY | | 55 | 14740 | 1604 (1)| 00:00:20 | | |
|* 5 | FILTER | | | | | | | |
|* 6 | HASH JOIN OUTER | | 55 | 14740 | 1603 (1)| 00:00:20 | | |
| 7 | NESTED LOOPS | | 1088 | 233K| 1520 (1)| 00:00:19 | | |
| 8 | NESTED LOOPS | | 1767 | 233K| 1520 (1)| 00:00:19 | | |
| 9 | NESTED LOOPS | | 93 | 14043 | 104 (1)| 00:00:02 | | |
| 10 | NESTED LOOPS | | 3 | 270 | 10 (10)| 00:00:01 | | |
| 11 | VIEW | VW_NSO_2 | 3 | 66 | 7 (15)| 00:00:01 | | |
| 12 | HASH UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 13 | FILTER | | | | | | | |
|* 14 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | |
| 15 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 16 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 17 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 18 | CONNECT BY PUMP | | | | | | | |
| 19 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 20 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
| 21 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 68 | 1 (0)| 00:00:01 | | |
|* 22 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 0 (0)| 00:00:01 | | |
| 23 | VIEW | | 31 | 1891 | 60 (0)| 00:00:01 | | |
| 24 | UNION-ALL PARTITION | | | | | | | |
|* 25 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 69 | 4209 | 4 (0)| 00:00:01 | | |
|* 26 | HASH JOIN | | 3 | 309 | 10 (10)| 00:00:01 | | |
|* 27 | VIEW | VW_NSO_1 | 3 | 126 | 7 (15)| 00:00:01 | | |
| 28 | SORT UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 29 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | |
| 30 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 31 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 32 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 33 | CONNECT BY PUMP | | | | | | | |
| 34 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 35 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
|* 36 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 46 | 2806 | 3 (0)| 00:00:01 | | |
|* 37 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 19 | | 3 (0)| 00:00:01 | | |
|* 38 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 12 | 828 | 23 (0)| 00:00:01 | ROWID | ROWID |
| 39 | TABLE ACCESS FULL | SAMS_ICLOCK | 6337 | 297K| 83 (0)| 00:00:01 | | |
------------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("RN">:9)
2 - filter(ROWNUM<=:8)
4 - filter(ROWNUM<=:8)
5 - filter("SU"."BADGENUMBER"=SYS_OP_C2C(:5) OR "SU"."NAME" LIKE SYS_OP_C2C(:6) OR "SL"."SN"=SYS_OP_C2C(:7))
6 - access("SL"."SN"(+)="SC"."SN")
13 - filter(TO_DATE(:3,'yyyy-MM-dd')+1>=TO_DATE(:2,'yyyy-MM-dd'))
14 - access("T2"."SUPDEPTID"=PRIOR NULL)
16 - access("T2"."DEPTID"=SYS_OP_C2C(:4))
20 - access("connect$_by$_pump$_019"."prior T2.DEPTID "="T2"."SUPDEPTID")
22 - access("SD"."DEPTID"="DEPTID")
25 - access("DEPTID"="SD"."DEPTID")
26 - access("SD"."DEPTID"="DEPTID")
27 - filter("DEPTID"="SD"."DEPTID")
29 - access("T2"."SUPDEPTID"=PRIOR NULL)
31 - access("T2"."DEPTID"=SYS_OP_C2C(:1))
35 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
36 - access("DEPTID"="SD"."DEPTID")
37 - access("SU"."BADGENUMBER"="SC"."BADGENUMBER")
38 - filter("SC"."CHECKTIME">=TO_DATE(:2,'yyyy-MM-dd') AND "SC"."CHECKTIME"<=TO_DATE(:3,'yyyy-MM-dd')+1)
Plan 2
------
Plan Origin :AWR
Plan Hash Value :205839464
Executions :86
Elapsed Time :1.492 sec
CPU Time :0.100 sec
Buffer Gets :31273
Disk Reads :109
Disk Writes :0
Notes:
1. Statistics shown are averaged over multiple executions.
-----------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Pstart| Pstop |
-----------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 10 | 4030 | 1998 (1)| 00:00:24 | | |
|* 1 | VIEW | | 10 | 4030 | 1998 (1)| 00:00:24 | | |
|* 2 | COUNT STOPKEY | | | | | | | |
| 3 | VIEW | | 55 | 21450 | 1998 (1)| 00:00:24 | | |
|* 4 | SORT ORDER BY STOPKEY | | 55 | 14740 | 1998 (1)| 00:00:24 | | |
|* 5 | FILTER | | | | | | | |
| 6 | NESTED LOOPS OUTER | | 55 | 14740 | 1997 (1)| 00:00:24 | | |
| 7 | NESTED LOOPS | | 1088 | 233K| 1520 (1)| 00:00:19 | | |
| 8 | NESTED LOOPS | | 93 | 14043 | 104 (1)| 00:00:02 | | |
| 9 | NESTED LOOPS | | 3 | 270 | 10 (10)| 00:00:01 | | |
| 10 | VIEW | VW_NSO_2 | 3 | 66 | 7 (15)| 00:00:01 | | |
| 11 | HASH UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 12 | FILTER | | | | | | | |
|* 13 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | |
| 14 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 15 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 16 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 17 | CONNECT BY PUMP | | | | | | | |
| 18 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 19 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
| 20 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 68 | 1 (0)| 00:00:01 | | |
|* 21 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 0 (0)| 00:00:01 | | |
| 22 | VIEW | | 31 | 1891 | 60 (0)| 00:00:01 | | |
| 23 | UNION-ALL PARTITION | | | | | | | |
|* 24 | INDEX RANGE SCAN | IDX1_SAMS_USERINFO | 69 | 4209 | 4 (0)| 00:00:01 | | |
|* 25 | HASH JOIN | | 3 | 309 | 10 (10)| 00:00:01 | | |
|* 26 | VIEW | VW_NSO_1 | 3 | 126 | 7 (15)| 00:00:01 | | |
| 27 | SORT UNIQUE | | 3 | 192 | 7 (15)| 00:00:01 | | |
|* 28 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | |
| 29 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | 2 (0)| 00:00:01 | | |
|* 30 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | 1 (0)| 00:00:01 | | |
| 31 | NESTED LOOPS | | 2 | 160 | 4 (0)| 00:00:01 | | |
| 32 | CONNECT BY PUMP | | | | | | | |
| 33 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | 2 (0)| 00:00:01 | | |
|* 34 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | 1 (0)| 00:00:01 | | |
|* 35 | INDEX RANGE SCAN | IDX_SAMS_USERINFO_DIMISSION | 46 | 2806 | 3 (0)| 00:00:01 | | |
|* 36 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 12 | 828 | 23 (0)| 00:00:01 | ROWID | ROWID |
|* 37 | INDEX RANGE SCAN | IDX_SAMS_CHECKINOUT | 19 | | 3 (0)| 00:00:01 | | |
| 38 | TABLE ACCESS BY INDEX ROWID | SAMS_ICLOCK | 1 | 48 | 1 (0)| 00:00:01 | | |
|* 39 | INDEX UNIQUE SCAN | PK_SAMS_ICLOCK | 1 | | 0 (0)| 00:00:01 | | |
-----------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("RN">:9)
2 - filter(ROWNUM<=:8)
4 - filter(ROWNUM<=:8)
5 - filter("SU"."BADGENUMBER"=SYS_OP_C2C(:5) OR "SU"."NAME" LIKE SYS_OP_C2C(:6) OR "SL"."SN"=SYS_OP_C2C(:7))
12 - filter(TO_DATE(:3,'yyyy-MM-dd')+1>=TO_DATE(:2,'yyyy-MM-dd'))
13 - access("T2"."SUPDEPTID"=PRIOR NULL)
15 - access("T2"."DEPTID"=SYS_OP_C2C(:4))
19 - access("connect$_by$_pump$_019"."prior T2.DEPTID "="T2"."SUPDEPTID")
21 - access("SD"."DEPTID"="DEPTID")
24 - access("DEPTID"="SD"."DEPTID")
25 - access("SD"."DEPTID"="DEPTID")
26 - filter("DEPTID"="SD"."DEPTID")
28 - access("T2"."SUPDEPTID"=PRIOR NULL)
30 - access("T2"."DEPTID"=SYS_OP_C2C(:1))
34 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
35 - access("DEPTID"="SD"."DEPTID")
36 - filter("SC"."CHECKTIME">=TO_DATE(:2,'yyyy-MM-dd') AND "SC"."CHECKTIME"<=TO_DATE(:3,'yyyy-MM-dd')+1)
37 - access("SU"."BADGENUMBER"="SC"."BADGENUMBER")
39 - access("SL"."SN"(+)="SC"."SN")
Plan 3
------
Plan Origin :AWR
Plan Hash Value :4243346097
Executions :130
Elapsed Time :33323.697 sec
CPU Time :5608.075 sec
Buffer Gets :168638697
Disk Reads :156922
Disk Writes :0
Notes:
1. Statistics shown are averaged over multiple executions.
------------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time | Pstart| Pstop |
------------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 10 | 4030 | | 59M (1)|199:40:41 | | |
|* 1 | VIEW | | 10 | 4030 | | 59M (1)|199:40:41 | | |
|* 2 | COUNT STOPKEY | | | | | | | | |
| 3 | VIEW | | 55 | 21450 | | 59M (1)|199:40:41 | | |
|* 4 | SORT ORDER BY STOPKEY | | 55 | 14740 | | 59M (1)|199:40:41 | | |
|* 5 | HASH JOIN | | 55 | 14740 | 228M| 59M (1)|199:40:41 | | |
| 6 | NESTED LOOPS | | 928K| 217M| | 59M (1)|199:38:25 | | |
| 7 | NESTED LOOPS | | 928K| 217M| | 59M (1)|199:38:25 | | |
| 8 | NESTED LOOPS | | 928K| 157M| | 58M (1)|196:32:36 | | |
| 9 | NESTED LOOPS OUTER | | 18M| 2066M| | 21M (1)| 73:02:45 | | |
| 10 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 18M| 1218M| | 13M (1)| 45:58:50 | ROWID | ROWID |
|* 11 | INDEX RANGE SCAN | IDX1_SAMS_CHECKINOUT | 18M| | | 242K (1)| 00:48:26 | | |
| 12 | TABLE ACCESS BY INDEX ROWID | SAMS_ICLOCK | 1 | 48 | | 1 (0)| 00:00:01 | | |
|* 13 | INDEX UNIQUE SCAN | PK_SAMS_ICLOCK | 1 | | | 0 (0)| 00:00:01 | | |
|* 14 | VIEW | | 1 | 61 | | 2 (0)| 00:00:01 | | |
| 15 | UNION-ALL PARTITION | | | | | | | | |
| 16 | TABLE ACCESS BY INDEX ROWID | SAMS_USERINFO | 1 | 61 | | 3 (0)| 00:00:01 | | |
|* 17 | INDEX UNIQUE SCAN | PK_SAMS_USERINFO | 1 | | | 2 (0)| 00:00:01 | | |
| 18 | NESTED LOOPS | | 1 | 103 | | 10 (10)| 00:00:01 | | |
| 19 | TABLE ACCESS BY INDEX ROWID | SAMS_USERINFO_DIMISSION | 1 | 61 | | 3 (0)| 00:00:01 | | |
|* 20 | INDEX UNIQUE SCAN | PK_SAMS_USERINFO_DIMISSION | 1 | | | 2 (0)| 00:00:01 | | |
|* 21 | VIEW | VW_NSO_1 | 1 | 42 | | 7 (15)| 00:00:01 | | |
| 22 | SORT UNIQUE | | 3 | 192 | | 7 (15)| 00:00:01 | | |
|* 23 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | | |
| 24 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 | | |
|* 25 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 | | |
| 26 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 | | |
| 27 | CONNECT BY PUMP | | | | | | | | |
| 28 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 | | |
|* 29 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 | | |
|* 30 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 0 (0)| 00:00:01 | | |
| 31 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 68 | | 1 (0)| 00:00:01 | | |
| 32 | VIEW | VW_NSO_2 | 3 | 66 | | 7 (15)| 00:00:01 | | |
| 33 | HASH UNIQUE | | 3 | 192 | | 7 (15)| 00:00:01 | | |
|* 34 | FILTER | | | | | | | | |
|* 35 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | | |
| 36 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 | | |
|* 37 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 | | |
| 38 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 | | |
| 39 | CONNECT BY PUMP | | | | | | | | |
| 40 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 | | |
|* 41 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 | | |
------------------------------------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
1 - filter("RN">:9)
2 - filter(ROWNUM<=:8)
4 - filter(ROWNUM<=:8)
5 - access("SD"."DEPTID"="DEPTID")
11 - access("SC"."CHECKTIME">=TO_DATE(:2,'yyyy-MM-dd') AND "SC"."CHECKTIME"<=TO_DATE(:3,'yyyy-MM-dd')+1)
13 - access("SL"."SN"(+)="SC"."SN")
14 - filter("SU"."BADGENUMBER"=SYS_OP_C2C(:5) OR "SU"."NAME" LIKE SYS_OP_C2C(:6) OR "SL"."SN"=SYS_OP_C2C(:7))
17 - access("BADGENUMBER"="SC"."BADGENUMBER")
20 - access("BADGENUMBER"="SC"."BADGENUMBER")
21 - filter("SD"."DEPTID"="DEPTID")
23 - access("T2"."SUPDEPTID"=PRIOR NULL)
25 - access("T2"."DEPTID"=SYS_OP_C2C(:1))
29 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
30 - access("SD"."DEPTID"="SU"."DEPTID")
34 - filter(TO_DATE(:3,'yyyy-MM-dd')+1>=TO_DATE(:2,'yyyy-MM-dd'))
35 - access("T2"."SUPDEPTID"=PRIOR NULL)
37 - access("T2"."DEPTID"=SYS_OP_C2C(:4))
41 - access("connect$_by$_pump$_019"."prior T2.DEPTID "="T2"."SUPDEPTID")
-------------------------------------------------------------------------------
SQL>
SQL>
SQL>
SQL> !ora ddl sams index IDX1_SAMS_CHECKINOUT
Session altered.
DBMS_METADATA.GET_DDL(UPPER('INDEX'),UPPER('IDX1_SAMS_CHECKINOUT'),UPPER('SAMS')
--------------------------------------------------------------------------------
CREATE INDEX "SAMS"."IDX1_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("CHECK
TIME", "BADGENUMBER", "ID") PCTFREE 10 INITRANS 2 MAXTRANS 255 COMPUTE STATIS
TICS STORAGE(INITIAL 65536 NEXT 1048576 MINEXTENTS 1 MAXEXTENTS 2147483645
PCTINCREASE 0 FREELISTS 1 FREELIST GROUPS 1
BUFFER_POOL DEFAULT FLASH_CACHE DEFAULT CELL_FLASH_CACHE DEFAULT)
TABLESPACE "SAMSDATA"
通过自动优化功能，我们看到了跟awr报告上一样的执行计划。
------------------------------------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time | Pstart| Pstop |
------------------------------------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 10 | 4030 | | 59M (1)|199:40:41 | | |
|* 1 | VIEW | | 10 | 4030 | | 59M (1)|199:40:41 | | |
|* 2 | COUNT STOPKEY | | | | | | | | |
| 3 | VIEW | | 55 | 21450 | | 59M (1)|199:40:41 | | |
|* 4 | SORT ORDER BY STOPKEY | | 55 | 14740 | | 59M (1)|199:40:41 | | |
|* 5 | HASH JOIN | | 55 | 14740 | 228M| 59M (1)|199:40:41 | | |
| 6 | NESTED LOOPS | | 928K| 217M| | 59M (1)|199:38:25 | | |
| 7 | NESTED LOOPS | | 928K| 217M| | 59M (1)|199:38:25 | | |
| 8 | NESTED LOOPS | | 928K| 157M| | 58M (1)|196:32:36 | | |
| 9 | NESTED LOOPS OUTER | | 18M| 2066M| | 21M (1)| 73:02:45 | | |
| 10 | TABLE ACCESS BY GLOBAL INDEX ROWID | SAMS_CHECKINOUT | 18M| 1218M| | 13M (1)| 45:58:50 | ROWID | ROWID |
|* 11 | INDEX RANGE SCAN | IDX1_SAMS_CHECKINOUT | 18M| | | 242K (1)| 00:48:26 | | |
| 12 | TABLE ACCESS BY INDEX ROWID | SAMS_ICLOCK | 1 | 48 | | 1 (0)| 00:00:01 | | |
|* 13 | INDEX UNIQUE SCAN | PK_SAMS_ICLOCK | 1 | | | 0 (0)| 00:00:01 | | |
|* 14 | VIEW | | 1 | 61 | | 2 (0)| 00:00:01 | | |
| 15 | UNION-ALL PARTITION | | | | | | | | |
| 16 | TABLE ACCESS BY INDEX ROWID | SAMS_USERINFO | 1 | 61 | | 3 (0)| 00:00:01 | | |
|* 17 | INDEX UNIQUE SCAN | PK_SAMS_USERINFO | 1 | | | 2 (0)| 00:00:01 | | |
| 18 | NESTED LOOPS | | 1 | 103 | | 10 (10)| 00:00:01 | | |
| 19 | TABLE ACCESS BY INDEX ROWID | SAMS_USERINFO_DIMISSION | 1 | 61 | | 3 (0)| 00:00:01 | | |
|* 20 | INDEX UNIQUE SCAN | PK_SAMS_USERINFO_DIMISSION | 1 | | | 2 (0)| 00:00:01 | | |
|* 21 | VIEW | VW_NSO_1 | 1 | 42 | | 7 (15)| 00:00:01 | | |
| 22 | SORT UNIQUE | | 3 | 192 | | 7 (15)| 00:00:01 | | |
|* 23 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | | | |
| 24 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 | | |
|* 25 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 | | |
| 26 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 | | |
| 27 | CONNECT BY PUMP | | | | | | | | |
| 28 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 | | |
|* 29 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 | | |
|* 30 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 0 (0)| 00:00:01 | | |
| 31 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 68 | | 1 (0)| 00:00:01 | | |
| 32 | VIEW | VW_NSO_2 | 3 | 66 | | 7 (15)| 00:00:01 | | |
| 33 | HASH UNIQUE | | 3 | 192 | | 7 (15)| 00:00:01 | | |
|* 34 | FILTER | | | | | | | | |
|* 35 | CONNECT BY WITH FILTERING (UNIQUE) | | | | | | | | |
| 36 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 | | |
|* 37 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 | | |
| 38 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 | | |
| 39 | CONNECT BY PUMP | | | | | | | | |
| 40 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 | | |
|* 41 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 | | |
------------------------------------------------------------------------------------------------------------------------------------------------------
从执行计划上看sql执行效率非常的不好，开销是从id为10的一步开始骤降：TABLE ACCESS BY GLOBAL INDEX ROWID， 其操作是对IDX1_SAMS_CHECKINOUT这个索引的范围扫描回表拿数据
删除这个索引，然后重新创建ID列的索引
drop index "SAMS"."IDX1_SAMS_CHECKINOUT";
CREATE INDEX "SAMS"."IDX1_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" ("ID")
针对其他性能较差的sql进行优化
Schema Name: SAMS
SQL ID : bfv69ds34p99n
SQL Text : SELECT ID,SN_ID,CMDCONTENT,CMDCOMMITTIME,CMDTRANSTIME,CMDOVERTIME
,CMDRETURN,USERID FROM SAMS_DEVCMDS WHERE CMDCONTENT IS NOT NULL
AND CMDTRANSTIME IS NULL AND SN_ID=:1 AND ROWNUM<100 ORDER BY
TO_NUMBER(ID)
Bind Variables :
1 - (VARCHAR2(128)):6538992526356
-------------------------------------------------------------------------------
FINDINGS SECTION (1 finding)
-------------------------------------------------------------------------------
1- Index Finding (see explain plans section below)
--------------------------------------------------
The execution plan of this statement can be improved by creating one or more
indices.
Recommendation (estimated benefit: 92.69%)
------------------------------------------
- Consider running the Access Advisor to improve the physical schema design
or creating the recommended index.
create index SAMS.IDX$$_15B1A0001 on SAMS.SAMS_DEVCMDS("SN_ID","CMDTRANSTIME"); -------------------根据建议创建这个索引
Rationale
---------
Creating the recommended indices significantly improves the execution plan
of this statement. However, it might be preferable to run "Access Advisor"
using a representative SQL workload as opposed to a single statement. This
will allow to get comprehensive index recommendations which takes into
account index maintenance overhead and additional space consumption.
-------------------------------------------------------------------------------
EXPLAIN PLANS SECTION
-------------------------------------------------------------------------------
1- Original
-----------
Plan hash value: 2086948762
--------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 87 | 172K| 630 (1)| 00:00:08 |
| 1 | SORT ORDER BY | | 87 | 172K| 630 (1)| 00:00:08 |
|* 2 | COUNT STOPKEY | | | | | |
|* 3 | TABLE ACCESS BY INDEX ROWID| SAMS_DEVCMDS | 87 | 172K| 629 (0)| 00:00:08 |
|* 4 | INDEX RANGE SCAN | IDX_SAMS_DEVCMDS | 908 | | 16 (0)| 00:00:01 |
--------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter(ROWNUM<100)
3 - filter("CMDTRANSTIME" IS NULL AND "CMDCONTENT" IS NOT NULL)
4 - access("SN_ID"=SYS_OP_C2C(:1))
2- Using New Indices
--------------------
Plan hash value: 3352898769
-------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
-------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 87 | 172K| 46 (3)| 00:00:01 |
| 1 | SORT ORDER BY | | 87 | 172K| 46 (3)| 00:00:01 |
|* 2 | COUNT STOPKEY | | | | | |
|* 3 | TABLE ACCESS BY INDEX ROWID| SAMS_DEVCMDS | 87 | 172K| 45 (0)| 00:00:01 |
|* 4 | INDEX RANGE SCAN | IDX$$_15B1A0001 | 95 | | 3 (0)| 00:00:01 |
-------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
2 - filter(ROWNUM<100)
3 - filter("CMDCONTENT" IS NOT NULL)
4 - access("SN_ID"=SYS_OP_C2C(:1) AND "CMDTRANSTIME" IS NULL)
创建索引如下，都是根据oracle建议做的。：
create index SAMS.IDX$$_15B1D0001 on SAMS.SAMS_USERINFO_DIMISSION("DEPTID") TABLESPACE "SAMSDATA" ;
create index SAMS.IDX$$_15B1A0001 on SAMS.SAMS_DEVCMDS("SN_ID","CMDTRANSTIME");
create index SAMS.IDX$$_15B3A0001 on SAMS.SAMS_CHECKINOUT_BAK(SYS_OP_C2C("BADGENUMBER")) TABLESPACE "SAMSDATA" parallel 12;
Tune the sql
~~~~~~~~~~~~
GENERAL INFORMATION SECTION
-------------------------------------------------------------------------------
Tuning Task Name : TASK_88888
Tuning Task Owner : SYS
Workload Type : Single SQL Statement
Scope : COMPREHENSIVE
Time Limit(seconds): 1800
Completion Status : COMPLETED
Started at : 03/30/2017 11:31:00
Completed at : 03/30/2017 11:46:57
-------------------------------------------------------------------------------
Schema Name: SAMS
SQL ID : cpbt6x15q273d
SQL Text : select count(1) from(select aa.badgenumber,case when valids is
not null then '是' else '否' end as valids from(select
distinct(su.badgenumber),(select distinct('是') from
sams_template st where st.badgenumber=su.badgenumber and
st.template is not null and st.deltag = '0') as valids from
SAMS_USERINFO su inner join SAMS_DEPARTMENTS sd on
su.deptid=sd.deptid where 1=1 and su.SYSTAG='1' and sd.deptid
in ( select T2.Deptid from SAMS_DEPARTMENTS T2 start with
T2.Deptid = '000000' connect by prior T2.DEPTID = T2.SUPDEPTID)
) aa where 1=1 )
-------------------------------------------------------------------------------
FINDINGS SECTION (2 findings)
-------------------------------------------------------------------------------
1- SQL Profile Finding (see explain plans section below)
--------------------------------------------------------
2 potentially better execution plans were found for this statement. Choose
one of the following SQL profiles to implement.
Recommendation (estimated benefit: 98.35%)
------------------------------------------
- Consider accepting the recommended SQL profile.
execute dbms_sqltune.accept_sql_profile(task_name => 'TASK_88888',
task_owner => 'SYS', replace => TRUE);
Recommendation (estimated benefit: 99.98%)
------------------------------------------
- Consider accepting the recommended SQL profile to use parallel execution
for this statement.
execute dbms_sqltune.accept_sql_profile(task_name => 'TASK_88888',
task_owner => 'SYS', replace => TRUE, profile_type =>
DBMS_SQLTUNE.PX_PROFILE);
Executing this query parallel with DOP 96 will improve its response time
99.37% over the SQL profile plan. However, there is some cost in enabling
parallel execution. It will increase the statement's resource consumption by
an estimated 39.06% which may result in a reduction of system throughput.
Also, because these resources are consumed over a much smaller duration, the
response time of concurrent statements might be negatively impacted if
sufficient hardware capacity is not available.
The following data shows some sampled statistics for this SQL from the past
week and projected weekly values when parallel execution is enabled.
Past week sampled statistics for this SQL
-----------------------------------------
Number of executions 1241
Percent of total activity .75
Percent of samples with #Active Sessions > 2*CPU 42.16
Weekly DB time (in sec) 462921.68
Projected statistics with Parallel Execution
--------------------------------------------
Weekly DB time (in sec) 643740.64
2- Alternative Plan Finding
---------------------------
Some alternative execution plans for this statement were found by searching
the system's real-time and historical performance data.
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 1614405204 2017-03-30/09:32:49 7132.651 Cursor Cache original plan
2 2181297630 2017-03-29/19:00:16 19363.989 AWR
Information
-----------
- The Original Plan appears to have the best performance, based on the
elapsed time per execution. However, if you know that one alternative
plan is better than the Original Plan, you can create a SQL plan baseline
for it. This will instruct the Oracle optimizer to pick it over any other
choices in the future.
execute dbms_sqltune.create_sql_plan_baseline(task_name => 'TASK_88888',
owner_name => 'SYS', plan_hash_value => xxxxxxxx);
-------------------------------------------------------------------------------
EXPLAIN PLANS SECTION
-------------------------------------------------------------------------------
1- Original With Adjusted Cost
------------------------------
Plan hash value: 1614405204
--------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
--------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 2 | | 1683K (1)| 05:36:42 |
| 1 | SORT AGGREGATE | | 1 | 2 | | | |
| 2 | VIEW | | 18606 | 37212 | | 1683K (1)| 05:36:42 |
| 3 | SORT UNIQUE NOSORT | | 3 | 7833 | | 7 (15)| 00:00:01 |
|* 4 | TABLE ACCESS BY INDEX ROWID | SAMS_TEMPLATE | 3 | 7833 | | 6 (0)| 00:00:01 |
|* 5 | INDEX RANGE SCAN | IDX$$_CBE40001 | 3 | | | 3 (0)| 00:00:01 |
| 6 | HASH UNIQUE | | 18606 | 1835K| 170M| 1683K (1)| 05:36:42 |
| 7 | NESTED LOOPS | | 1571K| 151M| | 1670K (1)| 05:34:05 |
| 8 | NESTED LOOPS | | 3513K| 151M| | 1670K (1)| 05:34:05 |
| 9 | NESTED LOOPS | | 50926 | 2188K| | 7 (15)| 00:00:01 |
| 10 | VIEW | VW_NSO_1 | 3 | 66 | | 7 (15)| 00:00:01 |
| 11 | HASH UNIQUE | | 3 | 252 | | 7 (15)| 00:00:01 |
|* 12 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | |
| 13 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 |
|* 14 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 |
| 15 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 |
| 16 | CONNECT BY PUMP | | | | | | |
| 17 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 |
|* 18 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 |
|* 19 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 16975 | 364K| | 0 (0)| 00:00:01 |
|* 20 | INDEX RANGE SCAN | IDX_SAMS_USERINFO | 69 | | | 3 (0)| 00:00:01 |
|* 21 | TABLE ACCESS BY INDEX ROWID | SAMS_USERINFO | 31 | 1767 | | 69 (0)| 00:00:01 |
--------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
4 - filter("ST"."TEMPLATE" IS NOT NULL)
5 - access("ST"."DELTAG"='0' AND "ST"."BADGENUMBER"=:B1)
12 - access("T2"."SUPDEPTID"=PRIOR NULL)
14 - access("T2"."DEPTID"=U'000000')
18 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
19 - access("SD"."DEPTID"="DEPTID")
20 - access("SU"."DEPTID"="SD"."DEPTID")
21 - filter("SU"."SYSTAG"=U'1')
2- Using SQL Profile
--------------------
Plan hash value: 1215825753
-------------------------------------------------------------------------------------------------------------------------
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
-------------------------------------------------------------------------------------------------------------------------
| 0 | SELECT STATEMENT | | 1 | 2 | | 27702 (1)| 00:05:33 |
| 1 | SORT AGGREGATE | | 1 | 2 | | | |
| 2 | VIEW | | 18606 | 37212 | | 27702 (1)| 00:05:33 |
| 3 | SORT UNIQUE NOSORT | | 3 | 7833 | | 7 (15)| 00:00:01 |
|* 4 | TABLE ACCESS BY INDEX ROWID | SAMS_TEMPLATE | 3 | 7833 | | 6 (0)| 00:00:01 |
|* 5 | INDEX RANGE SCAN | IDX$$_CBE40001 | 3 | | | 3 (0)| 00:00:01 |
| 6 | HASH UNIQUE | | 18606 | 1835K| 170M| 27702 (1)| 00:05:33 |
|* 7 | HASH JOIN | | 1571K| 151M| | 14640 (1)| 00:02:56 |
|* 8 | TABLE ACCESS FULL | SAMS_USERINFO | 18606 | 1035K| | 14627 (1)| 00:02:56 |
| 9 | NESTED LOOPS | | 50926 | 2188K| | 7 (15)| 00:00:01 |
| 10 | VIEW | VW_NSO_1 | 3 | 66 | | 7 (15)| 00:00:01 |
| 11 | HASH UNIQUE | | 3 | 252 | | 7 (15)| 00:00:01 |
|* 12 | CONNECT BY WITH FILTERING (UNIQUE)| | | | | | |
| 13 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 1 | 38 | | 2 (0)| 00:00:01 |
|* 14 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 1 | | | 1 (0)| 00:00:01 |
| 15 | NESTED LOOPS | | 2 | 160 | | 4 (0)| 00:00:01 |
| 16 | CONNECT BY PUMP | | | | | | |
| 17 | TABLE ACCESS BY INDEX ROWID | SAMS_DEPARTMENTS | 2 | 76 | | 2 (0)| 00:00:01 |
|* 18 | INDEX RANGE SCAN | SUPDEPTID_IDX | 2 | | | 1 (0)| 00:00:01 |
|* 19 | INDEX UNIQUE SCAN | PK_SAMS_DEPARTMENTS | 16975 | 364K| | 0 (0)| 00:00:01 |
-------------------------------------------------------------------------------------------------------------------------
Predicate Information (identified by operation id):
---------------------------------------------------
4 - filter("ST"."TEMPLATE" IS NOT NULL)
5 - access("ST"."DELTAG"='0' AND "ST"."BADGENUMBER"=:B1)
7 - access("SU"."DEPTID"="SD"."DEPTID")
8 - filter("SU"."SYSTAG"=U'1')
12 - access("T2"."SUPDEPTID"=PRIOR NULL)
14 - access("T2"."DEPTID"=U'000000')
18 - access("connect$_by$_pump$_008"."prior T2.DEPTID "="T2"."SUPDEPTID")
19 - access("SD"."DEPTID"="DEPTID")
对以上sql进行了执行计划绑定修改
execute dbms_sqltune.accept_sql_profile(task_name => 'TASK_88888',task_owner => 'SYS', replace => TRUE);
SQL> select NAME from dba_sql_profiles;
NAME
------------------------------
coe_8yshc4jbu0qc1_1759800418
SYS_SQLPROF_015b1d66e6010001
SYS_SQLPROF_015b1af651db0000
coe_bw0b67268pva8_561269195
coe_fq1q2q6h7kqf0_561269195
5 rows selected.
SQL> select SQL_TEXT from dba_sql_profiles where name ='SYS_SQLPROF_015b1d66e6010001';
SQL_TEXT
--------------------------------------------------
select count(1) from(select aa.badgenumber,case wh
en valids is not null then '是' else '否' end a
s valids from(select distinct(su.badgenumber),(sel
ect distinct('是') from sams_template st where st
.badgenumber=su.badgenumber and st.template is not
null and st.deltag = '0') as valids from SAMS_USE
RINFO su inner join SAMS_DEPARTMENTS sd on su.dept
id=sd.deptid where 1=1 and su.SYSTAG='1' and sd.
deptid in ( select T2.Deptid from SAMS_DEPARTMENTS
T2 start with T2.Deptid = '000000' connect by pri
or T2.DEPTID = T2.SUPDEPTID) ) aa where 1=1 )
1 row selected.
SQL> select SQL_TEXT from dba_sql_profiles where name ='SYS_SQLPROF_015b1af651db0000';
SQL_TEXT
--------------------------------------------------
SELECT * FROM ( SELECT A.*, ROWNUM RN FROM (select
sd.deptnumber,sd.deptname,su.badgenumber,su.name,
to_char(sc.checktime,'YYYY-MM-DD HH24:MI:SS') as C
HECKTIME,case when rtrim(sc.verifycode)='0' then '
密码' when rtrim(sc.verifycode)='1' then '指纹' wh
en rtrim(sc.verifycode)='2' then '补签' when rtrim
(sc.verifycode)='15' then '面部' when rtrim(sc.ver
ifycode)='ZW' then '指纹' when rtrim(sc.verifycode
)='RL' then '面部' when rtrim(sc.verifycode)='YD'
then '移动打卡(GPS)' when rtrim(sc.verifycode)='EJ
' then '国寿E家' end as verifycode,sl.sn||'('||sl
.alias||')' as devicename, to_char(sc.insystime,'Y
YYY-MM-DD HH24:MI:SS') as INSYSTIME from SAMS_CHEC
KINOUT sc inner join (select badgenumber,name,dept
id from SAMS_USERINFO union all select badgenumber
,name,deptid from SAMS_USERINFO_DIMISSION sd where
1=1 and sd.DEPTID=:1 ) su on su.badgenumber = s
c.badgenumber inner join SAMS_DEPARTMENTS sd on sd
.deptid = su.deptid left join SAMS_ICLOCK sl on sl
.sn=sc.sn where 1=1 and sc.checktime>= to_date(:2
,'yyyy-MM-dd') and sc.checktime<= to_date(:3 ,'yy
yy-MM-dd')+1 and sd.DEPTID=:4 order by sc.check
time,su.name desc ) A WHERE ROWNUM <= :5 ) WHERE
RN > :6
一共做了2个profile如上，针对2个sql，先不动了。
六个变量的sql是前台没有做关联查询的，执行情况跟9个变量的差不多
Paste_Image.png
手工测试也是无法模拟awr报告上面的执行计划，在sql自动优化里面可以看到，这个sql的执行计划已经做了profile，对应的name是SYS_SQLPROF_015b1af651db0000
2017年3月31日 星期五 10:45:22
今天测试一下上面两个索引的效果
create index sams.ind1_sams_iclock on sams.sams_iclock(sn,alias) TABLESPACE "SAMSDATA" parallel 12;
alter index sams.ind1_sams_iclock noparallel;
CREATE INDEX "SAMS"."IDX5_SAMS_CHECKINOUT" ON "SAMS"."SAMS_CHECKINOUT" (BADGENUMBER,CHECKTIME,SN,VERIFYCODE,INSYSTIME) TABLESPACE "SAMSDATA" parallel 12;
效果不明显，而且影响了已经存在的sql执行，故先删除,其实感觉走了IDX5_SAMS_CHECKINOUT性能能稍微好一点,但是从测试结果上看,可能对原来的执行有影响,所以先不动了