Multiple Executions Plans for the same SQL statement
Dear experts,
awrsqrpt.sql is showing multiple executions plans for a single SQL statement. How is it possible that one SQL statement will have multiple Executions Plans within the same AWR report.
Below is the awrsqrpt's output for your reference.
WORKLOAD REPOSITORY SQL Report
Snapshot Period Summary
DB Name DB Id Instance Inst Num Release RAC Host
TESTDB 2157605839 TESTDB1 1 10.2.0.3.0 YES testhost1
Snap Id Snap Time Sessions Curs/Sess
Begin Snap: 32541 11-Oct-08 21:00:13 248 141.1
End Snap: 32542 11-Oct-08 21:15:06 245 143.4
Elapsed: 14.88 (mins)
DB Time: 12.18 (mins)
SQL Summary DB/Inst: TESTDB/TESTDB1 Snaps: 32541-32542
Elapsed
SQL Id Time (ms)
51szt7b736bmg 25,131
Module: SQL*Plus
UPDATE TEST SET TEST_TRN_DAY_CL = (SELECT (NVL(ACCT_CR_BAL,0) + NVL(ACCT_DR_BAL,
0)) FROM ACCT WHERE ACCT_TRN_DT = (:B1 ) AND TEST_ACC_NB = ACCT_ACC_NB(+)) WHERE
TEST_BATCH_DT = (:B1 )
SQL ID: 51szt7b736bmg DB/Inst: TESTDB/TESTDB1 Snaps: 32541-32542
-> 1st Capture and Last Capture Snap IDs
refer to Snapshot IDs witin the snapshot range
-> UPDATE TEST SET TEST_TRN_DAY_CL = (SELECT (NVL(ACCT_CR_BAL,0) + NVL(AC...
Plan Hash Total Elapsed 1st Capture Last Capture
# Value Time(ms) Executions Snap ID Snap ID
1 2960830398 25,131 1 32542 32542
2 3834848140 0 0 32542 32542
Plan 1(PHV: 2960830398)
Plan Statistics DB/Inst: TESTDB/TESTDB1 Snaps: 32541-32542
-> % Total DB Time is the Elapsed Time of the SQL statement divided
into the Total Database Time multiplied by 100
Stat Name Statement Per Execution % Snap
Elapsed Time (ms) 25,131 25,130.7 3.4
CPU Time (ms) 23,270 23,270.2 3.9
Executions 1 N/A N/A
Buffer Gets 2,626,166 2,626,166.0 14.6
Disk Reads 305 305.0 0.3
Parse Calls 1 1.0 0.0
Rows 371,735 371,735.0 N/A
User I/O Wait Time (ms) 564 N/A N/A
Cluster Wait Time (ms) 0 N/A N/A
Application Wait Time (ms) 0 N/A N/A
Concurrency Wait Time (ms) 0 N/A N/A
Invalidations 0 N/A N/A
Version Count 2 N/A N/A
Sharable Mem(KB) 26 N/A N/A
Execution Plan
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | UPDATE STATEMENT | | | | 1110 (100)| |
| 1 | UPDATE | TEST | | | | |
| 2 | TABLE ACCESS FULL | TEST | 116K| 2740K| 1110 (2)| 00:00:14 |
| 3 | TABLE ACCESS BY INDEX ROWID| ACCT | 1 | 26 | 5 (0)| 00:00:01 |
| 4 | INDEX RANGE SCAN | ACCT_DT_ACC_IDX | 1 | | 4 (0)| 00:00:01 |
Plan 2(PHV: 3834848140)
Plan Statistics DB/Inst: TESTDB/TESTDB1 Snaps: 32541-32542
-> % Total DB Time is the Elapsed Time of the SQL statement divided
into the Total Database Time multiplied by 100
Stat Name Statement Per Execution % Snap
Elapsed Time (ms) 0 N/A 0.0
CPU Time (ms) 0 N/A 0.0
Executions 0 N/A N/A
Buffer Gets 0 N/A 0.0
Disk Reads 0 N/A 0.0
Parse Calls 0 N/A 0.0
Rows 0 N/A N/A
User I/O Wait Time (ms) 0 N/A N/A
Cluster Wait Time (ms) 0 N/A N/A
Application Wait Time (ms) 0 N/A N/A
Concurrency Wait Time (ms) 0 N/A N/A
Invalidations 0 N/A N/A
Version Count 2 N/A N/A
Sharable Mem(KB) 26 N/A N/A
Execution Plan
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | UPDATE STATEMENT | | | | 2 (100)| |
| 1 | UPDATE | TEST | | | | |
| 2 | TABLE ACCESS BY INDEX ROWID| TEST | 1 | 28 | 2 (0)| 00:00:01 |
| 3 | INDEX RANGE SCAN | TEST_DT_IND | 1 | | 1 (0)| 00:00:01 |
| 4 | TABLE ACCESS BY INDEX ROWID| ACCT | 1 | 26 | 4 (0)| 00:00:01 |
| 5 | INDEX RANGE SCAN | INDX_ACCT_DT | 1 | | 3 (0)| 00:00:01 |
Full SQL Text
SQL ID SQL Text
51szt7b736bm UPDATE TEST SET TEST_TRN_DAY_CL = (SELECT (NVL(ACCT_CR_BAL, 0) +
NVL(ACCT_DR_BAL, 0)) FROM ACCT WHERE ACCT_TRN_DT = (:B1 ) AND PB
RN_ACC_NB = ACCT_ACC_NB(+)) WHERE TEST_BATCH_DT = (:B1 )Your input is highly appreciated.
Thanks for taking your time in answering my question.
Regards
Oracle Lover3 wrote:
Dear experts,
awrsqrpt.sql is showing multiple executions plans for a single SQL statement. How is it possible that one SQL statement will have multiple Executions Plans within the same AWR report.If you're using bind variables and you've histograms on your columns which can be created by default in 10g due to the "SIZE AUTO" default "method_opt" parameter of DBMS_STATS.GATHER__STATS it is quite normal that you get different execution plans for the same SQL statement. Depending on the values passed when the statement is hard parsed (this feature is called "bind variable peeking" and enabled by default since 9i) an execution plan is determined and re-used for all further executions of the same "shared" SQL statement.
If now your statement ages out of the shared pool or is invalidated due to some DDL or statistics gathering activity it will be re-parsed and again the values passed in that particular moment will determine the execution plan. If you have skewed data distribution and a histogram in place that reflects that skewness you might get different execution plans depending on the actual values used.
Since this "flip-flop" behaviour can sometimes be counter-productive if you're unlucky and the values used to hard parse the statement leading to a plan that is unsuitable for the majority of values used afterwards, 11g introduced the "adaptive" cursor sharing that attempts to detect such a situation and can automatically re-evaluate the execution plan of the statement.
Regards,
Randolf
Oracle related stuff blog:
http://oracle-randolf.blogspot.com/
SQLTools++ for Oracle (Open source Oracle GUI for Windows):
http://www.sqltools-plusplus.org:7676/
http://sourceforge.net/projects/sqlt-pp/
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optimizer_dynamic_sampling integer 2
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optimizer_secure_view_merging boolean TRUE
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Oracle Database 10g Enterprise Edition Release 10.2.0.4.0 - 64bi
PL/SQL Release 10.2.0.4.0 - Production
CORE 10.2.0.4.0 Production
TNS for Solaris: Version 10.2.0.4.0 - Production
NLSRTL Version 10.2.0.4.0 - Production
Note: : There are slight difference in the no of records in the attached sheet.However, I wanted to tell that i have tested with exact same data and was getting similar results but I couldn't retain the data untill collecting the details in the attachment
TEST1 COMPARE TABLE LEVE STATS used by CBO
ENVIRONMENT A
TABLE_NAME NUM_ROWS BLOCKS LAST_ANALYZED
ASSET 3607425 167760 5/02/2013 22:11
METER_CONFIG_HEADER 3658 80 5/01/2013 0:07
METER_CONFIG_ITEM 32310 496 5/01/2013 0:07
NMI 1899024 33557 18/02/2013 10:55
REGISTER 4830153 101504 18/02/2013 9:57
SDP_LOGICAL_ASSET 1607456 19137 18/02/2013 15:48
SDP_LOGICAL_REGISTER 5110781 78691 18/02/2013 9:56
SERVICE_DELIVERY_POINT 1425890 42468 18/02/2013 13:54
ENVIRONMENT B
TABLE_NAME NUM_ROWS BLOCKS LAST_ANALYZED
ASSET 4133939 198570 16/02/2013 10:02
METER_CONFIG_HEADER 3779 80 16/02/2013 10:55
METER_CONFIG_ITEM 33720 510 16/02/2013 10:55
NMI 1969000 33113 16/02/2013 10:58
REGISTER 5837874 120104 16/02/2013 11:05
SDP_LOGICAL_ASSET 1788152 22325 16/02/2013 11:06
SDP_LOGICAL_REGISTER 6101934 91088 16/02/2013 11:07
SERVICE_DELIVERY_POINT 1447589 43804 16/02/2013 11:11
TEST ITEM 2 COMPARE INDEX STATS used by CBO
ENVIRONMENT A
TABLE_NAME INDEX_NAME UNIQUENESS BLEVEL LEAF_BLOCKS DISTINCT_KEYS AVG_LEAF_BLOCKS_PER_KEY AVG_DATA_BLOCKS_PER_KEY CLUSTERING_FACTOR NUM_ROWS
ASSET IDX_AST_DEVICE_CATEGORY_SK NONUNIQUE 2 9878 67 147 12982 869801 3553095
ASSET IDX_A_SAPINTLOGDEV_SK NONUNIQUE 2 7291 2747 2 639 1755977 3597916
ASSET SYS_C00102592 UNIQUE 2 12488 3733831 1 1 3726639 3733831
METER_CONFIG_HEADER SYS_C0092052 UNIQUE 1 12 3670 1 1 3590 3670
METER_CONFIG_ITEM SYS_C0092074 UNIQUE 1 104 32310 1 1 32132 32310
NMI IDX_NMI_ID NONUNIQUE 2 6298 844853 1 2 1964769 1965029
NMI IDX_NMI_ID_NK NONUNIQUE 2 6701 1923072 1 1 1922831 1923084
NMI IDX_NMI_STATS NONUNIQUE 1 106 4 26 52 211 211
REGISTER REG_EFFECTIVE_DTM NONUNIQUE 2 12498 795 15 2899 2304831 4711808
REGISTER SYS_C00102653 UNIQUE 2 16942 5065660 1 1 5056855 5065660
SDP_LOGICAL_ASSET IDX_SLA_SAPINTLOGDEV_SK NONUNIQUE 2 3667 1607968 1 1 1607689 1607982
SDP_LOGICAL_ASSET IDX_SLA_SDP_SK NONUNIQUE 2 3811 668727 1 2 1606204 1607982
SDP_LOGICAL_ASSET SYS_C00102665 UNIQUE 2 5116 1529606 1 1 1528136 1529606
SDP_LOGICAL_REGISTER SYS_C00102677 UNIQUE 2 17370 5193638 1 1 5193623 5193638
SERVICE_DELIVERY_POINT IDX_SDP_NMI_SK NONUNIQUE 2 4406 676523 1 2 1423247 1425890
SERVICE_DELIVERY_POINT IDX_SDP_SAP_INT_NMI_SK NONUNIQUE 2 7374 676523 1 2 1458238 1461108
SERVICE_DELIVERY_POINT SYS_C00102687 UNIQUE 2 4737 1416207 1 1 1415022 1416207
ENVIRONMENT B
TABLE_NAME INDEX_NAME UNIQUENESS BLEVEL LEAF_BLOCKS DISTINCT_KEYS AVG_LEAF_BLOCKS_PER_KEY AVG_DATA_BLOCKS_PER_KEY CLUSTERING_FACTOR NUM_ROWS
ASSET IDX_AST_DEVICE_CATEGORY_SK NONUNIQUE 2 8606 121 71 16428 1987833 4162257
ASSET IDX_A_SAPINTLOGDEV_SK NONUNIQUE 2 8432 1780146 1 1 2048170 4162257
ASSET SYS_C00116157 UNIQUE 2 13597 4162263 1 1 4158759 4162263
METER_CONFIG_HEADER SYS_C00116570 UNIQUE 1 12 3779 1 1 3734 3779
METER_CONFIG_ITEM SYS_C00116592 UNIQUE 1 107 33720 1 1 33459 33720
NMI IDX_NMI_ID NONUNIQUE 2 6319 683370 1 2 1970460 1971313
NMI IDX_NMI_ID_NK NONUNIQUE 2 6597 1971293 1 1 1970771 1971313
NMI IDX_NMI_STATS NONUNIQUE 1 98 48 2 4 196 196
REGISTER REG_EFFECTIVE_DTM NONUNIQUE 2 15615 1273 12 2109 2685924 5886582
REGISTER SYS_C00116748 UNIQUE 2 19533 5886582 1 1 5845565 5886582
SDP_LOGICAL_ASSET IDX_SLA_SAPINTLOGDEV_SK NONUNIQUE 2 4111 1795084 1 1 1758441 1795130
SDP_LOGICAL_ASSET IDX_SLA_SDP_SK NONUNIQUE 2 4003 674249 1 2 1787987 1795130
SDP_LOGICAL_ASSET SYS_C004520 UNIQUE 2 5864 1795130 1 1 1782147 1795130
SDP_LOGICAL_REGISTER SYS_C004539 UNIQUE 2 20413 6152850 1 1 6073059 6152850
SERVICE_DELIVERY_POINT IDX_SDP_NMI_SK NONUNIQUE 2 3227 660649 1 2 1422572 1447803
SERVICE_DELIVERY_POINT IDX_SDP_SAP_INT_NMI_SK NONUNIQUE 2 6399 646257 1 2 1346948 1349993
SERVICE_DELIVERY_POINT SYS_C00128706 UNIQUE 2 4643 1447946 1 1 1442796 1447946
TEST ITEM 3 COMPARE PLANS
ENVIRONMENT A
Plan hash value: 4109575732
| Id | Operation | Name | Rows | Bytes |TempSpc| Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 13 | 2067 | | 135K (2)| 00:27:05 |
| 1 | HASH UNIQUE | | 13 | 2067 | | 135K (2)| 00:27:05 |
|* 2 | HASH JOIN | | 13 | 2067 | | 135K (2)| 00:27:05 |
|* 3 | HASH JOIN | | 6 | 900 | | 135K (2)| 00:27:04 |
|* 4 | HASH JOIN ANTI | | 1 | 137 | | 135K (2)| 00:27:03 |
|* 5 | TABLE ACCESS BY INDEX ROWID| NMI | 1 | 22 | | 5 (0)| 00:00:01 |
| 6 | NESTED LOOPS | | 1 | 131 | | 95137 (2)| 00:19:02 |
|* 7 | HASH JOIN | | 1 | 109 | | 95132 (2)| 00:19:02 |
|* 8 | TABLE ACCESS FULL | ASSET | 36074 | 1021K| | 38553 (2)| 00:07:43 |
|* 9 | HASH JOIN | | 90361 | 7059K| 4040K| 56578 (2)| 00:11:19 |
|* 10 | HASH JOIN | | 52977 | 3414K| 2248K| 50654 (2)| 00:10:08 |
|* 11 | HASH JOIN | | 39674 | 1782K| | 40101 (2)| 00:08:02 |
|* 12 | TABLE ACCESS FULL | REGISTER | 39439 | 1232K| | 22584 (2)| 00:04:32 |
|* 13 | TABLE ACCESS FULL | SDP_LOGICAL_REGISTER | 4206K| 56M| | 17490 (2)| 00:03:30 |
|* 14 | TABLE ACCESS FULL | SERVICE_DELIVERY_POINT | 675K| 12M| | 9412 (2)| 00:01:53 |
|* 15 | TABLE ACCESS FULL | SDP_LOGICAL_ASSET | 1178K| 15M| | 4262 (2)| 00:00:52 |
|* 16 | INDEX RANGE SCAN | IDX_NMI_ID_NK | 2 | | | 2 (0)| 00:00:01 |
| 17 | VIEW | | 39674 | 232K| | 40101 (2)| 00:08:02 |
|* 18 | HASH JOIN | | 39674 | 1046K| | 40101 (2)| 00:08:02 |
|* 19 | TABLE ACCESS FULL | REGISTER | 39439 | 500K| | 22584 (2)| 00:04:32 |
|* 20 | TABLE ACCESS FULL | SDP_LOGICAL_REGISTER | 4206K| 56M| | 17490 (2)| 00:03:30 |
|* 21 | TABLE ACCESS FULL | METER_CONFIG_HEADER | 3658 | 47554 | | 19 (0)| 00:00:01 |
|* 22 | TABLE ACCESS FULL | METER_CONFIG_ITEM | 7590 | 68310 | | 112 (2)| 00:00:02 |
Predicate Information (identified by operation id):
2 - access("METER_CONFIG_HEADER_SK"="METER_CONFIG_HEADER_SK")
3 - access("NETWORK_TARIFF_CD"="NETWORK_TARIFF_CD")
4 - access("SERVICE_DELIVERY_POINT_SK"="TMP"."SERVICE_DELIVERY_POINT_SK")
5 - filter("ROW_CURRENT_IND"='Y' AND ("NMI_STATUS_CD"='A' OR "NMI_STATUS_CD"='D'))
7 - access("ASSET_CD"="EQUIP_CD" AND "SAP_INT_LOG_DEVICE_SK"="SAP_INT_LOG_DEVICE_SK")
8 - filter("ROW_CURRENT_IND"='Y')
9 - access("SERVICE_DELIVERY_POINT_SK"="SERVICE_DELIVERY_POINT_SK")
10 - access("SERVICE_DELIVERY_POINT_SK"="SERVICE_DELIVERY_POINT_SK")
11 - access("SAP_INT_LOGICAL_REGISTER_SK"="SAP_INT_LOGICAL_REGISTER_SK")
12 - filter("REGISTER_TYPE_CD"='C' AND (SUBSTR("REGISTER_ID_CD",1,1)='4' OR
SUBSTR("REGISTER_ID_CD",1,1)='5' OR SUBSTR("REGISTER_ID_CD",1,1)='6') AND "ROW_CURRENT_IND"='Y')
13 - filter("ROW_CURRENT_IND"='Y')
14 - filter("ROW_CURRENT_IND"='Y')
15 - filter("ROW_CURRENT_IND"='Y')
16 - access("NMI_SK"="NMI_SK")
18 - access("SAP_INT_LOGICAL_REGISTER_SK"="SAP_INT_LOGICAL_REGISTER_SK")
19 - filter("REGISTER_TYPE_CD"='C' AND (SUBSTR("REGISTER_ID_CD",1,1)='1' OR
SUBSTR("REGISTER_ID_CD",1,1)='2' OR SUBSTR("REGISTER_ID_CD",1,1)='3') AND "ROW_CURRENT_IND"='Y')
20 - filter("ROW_CURRENT_IND"='Y')
21 - filter("ROW_CURRENT_IND"='Y')
22 - filter("ROW_CURRENT_IND"='Y' AND "CONROL_REGISTER"='X')
ENVIRONMENT B
Plan hash value: 2826260434
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time |
| 0 | SELECT STATEMENT | | 1 | 181 | 103K (2)| 00:20:47 |
| 1 | HASH UNIQUE | | 1 | 181 | 103K (2)| 00:20:47 |
|* 2 | HASH JOIN ANTI | | 1 | 181 | 103K (2)| 00:20:47 |
|* 3 | HASH JOIN | | 1 | 176 | 56855 (2)| 00:11:23 |
|* 4 | HASH JOIN | | 1 | 163 | 36577 (2)| 00:07:19 |
|* 5 | TABLE ACCESS BY INDEX ROWID | ASSET | 1 | 44 | 4 (0)| 00:00:01 |
| 6 | NESTED LOOPS | | 1 | 131 | 9834 (2)| 00:01:59 |
| 7 | NESTED LOOPS | | 1 | 87 | 9830 (2)| 00:01:58 |
| 8 | NESTED LOOPS | | 1 | 74 | 9825 (2)| 00:01:58 |
|* 9 | HASH JOIN | | 1 | 52 | 9820 (2)| 00:01:58 |
|* 10 | TABLE ACCESS BY INDEX ROWID| METER_CONFIG_HEADER | 1 | 14 | 1 (0)| 00:00:01 |
| 11 | NESTED LOOPS | | 1 | 33 | 116 (2)| 00:00:02 |
|* 12 | TABLE ACCESS FULL | METER_CONFIG_ITEM | 1 | 19 | 115 (2)| 00:00:02 |
|* 13 | INDEX RANGE SCAN | SYS_C00116570 | 1 | | 1 (0)| 00:00:01 |
|* 14 | TABLE ACCESS FULL | SERVICE_DELIVERY_POINT | 723K| 13M| 9699 (2)| 00:01:57 |
|* 15 | TABLE ACCESS BY INDEX ROWID | NMI | 1 | 22 | 5 (0)| 00:00:01 |
|* 16 | INDEX RANGE SCAN | IDX_NMI_ID_NK | 2 | | 2 (0)| 00:00:01 |
|* 17 | TABLE ACCESS BY INDEX ROWID | SDP_LOGICAL_ASSET | 1 | 13 | 5 (0)| 00:00:01 |
|* 18 | INDEX RANGE SCAN | IDX_SLA_SDP_SK | 2 | | 2 (0)| 00:00:01 |
|* 19 | INDEX RANGE SCAN | IDX_A_SAPINTLOGDEV_SK | 2 | | 2 (0)| 00:00:01 |
|* 20 | TABLE ACCESS FULL | REGISTER | 76113 | 2378K| 26743 (2)| 00:05:21 |
|* 21 | TABLE ACCESS FULL | SDP_LOGICAL_REGISTER | 5095K| 63M| 20245 (2)| 00:04:03 |
| 22 | VIEW | | 90889 | 443K| 47021 (2)| 00:09:25 |
|* 23 | HASH JOIN | | 90889 | 2307K| 47021 (2)| 00:09:25 |
|* 24 | TABLE ACCESS FULL | REGISTER | 76113 | 966K| 26743 (2)| 00:05:21 |
|* 25 | TABLE ACCESS FULL | SDP_LOGICAL_REGISTER | 5095K| 63M| 20245 (2)| 00:04:03 |
Predicate Information (identified by operation id):
2 - access("SERVICE_DELIVERY_POINT_SK"="TMP"."SERVICE_DELIVERY_POINT_SK")
3 - access("SERVICE_DELIVERY_POINT_SK"="SERVICE_DELIVERY_POINT_SK" AND
"SAP_INT_LOGICAL_REGISTER_SK"="SAP_INT_LOGICAL_REGISTER_SK")
4 - access("ASSET_CD"="EQUIP_CD")
5 - filter("ROW_CURRENT_IND"='Y')
9 - access("NETWORK_TARIFF_CD"="NETWORK_TARIFF_CD")
10 - filter("ROW_CURRENT_IND"='Y')
12 - filter("ROW_CURRENT_IND"='Y' AND "CONROL_REGISTER"='X')
13 - access("METER_CONFIG_HEADER_SK"="METER_CONFIG_HEADER_SK")
14 - filter("ROW_CURRENT_IND"='Y')
15 - filter("ROW_CURRENT_IND"='Y' AND ("NMI_STATUS_CD"='A' OR "NMI_STATUS_CD"='D'))
16 - access("NMI_SK"="NMI_SK")
17 - filter("ROW_CURRENT_IND"='Y')
18 - access("SERVICE_DELIVERY_POINT_SK"="SERVICE_DELIVERY_POINT_SK")
19 - access("SAP_INT_LOG_DEVICE_SK"="SAP_INT_LOG_DEVICE_SK")
20 - filter((SUBSTR("REGISTER_ID_CD",1,1)='4' OR SUBSTR("REGISTER_ID_CD",1,1)='5' OR
SUBSTR("REGISTER_ID_CD",1,1)='6') AND "REGISTER_TYPE_CD"='C' AND "ROW_CURRENT_IND"='Y')
21 - filter("ROW_CURRENT_IND"='Y')
23 - access("SAP_INT_LOGICAL_REGISTER_SK"="SAP_INT_LOGICAL_REGISTER_SK")
24 - filter((SUBSTR("REGISTER_ID_CD",1,1)='1' OR SUBSTR("REGISTER_ID_CD",1,1)='2' OR
SUBSTR("REGISTER_ID_CD",1,1)='3') AND "REGISTER_TYPE_CD"='C' AND "ROW_CURRENT_IND"='Y')
25 - filter("ROW_CURRENT_IND"='Y')Edited by: abhilash173 on Feb 24, 2013 9:16 PM
Edited by: abhilash173 on Feb 24, 2013 9:18 PMHi Paul,
I misread your question initially .The system stats are outdated in both ( same result as seen from aux_stats) .I am not a DBA and do not have access to gather system stats fresh.
select * from sys.aux_stats$
SNAME PNAME PVAL1 PVAL2
SYSSTATS_INFO STATUS NULL COMPLETED
SYSSTATS_INFO DSTART NULL 02-16-2011 15:24
SYSSTATS_INFO DSTOP NULL 02-16-2011 15:24
SYSSTATS_INFO FLAGS 1 NULL
SYSSTATS_MAIN CPUSPEEDNW 1321.20523 NULL
SYSSTATS_MAIN IOSEEKTIM 10 NULL
SYSSTATS_MAIN IOTFRSPEED 4096 NULL
SYSSTATS_MAIN SREADTIM NULL NULL
SYSSTATS_MAIN MREADTIM NULL NULL
SYSSTATS_MAIN CPUSPEED NULL NULL
SYSSTATS_MAIN MBRC NULL NULL
SYSSTATS_MAIN MAXTHR NULL NULL
SYSSTATS_MAIN SLAVETHR NULL NULL -
Unable to Execute Explain Plan for the selected SQL
When working with several SQL statements in one SQL Worksheet you execute the specific statement by selecting it and pressing F9.
The same is not possible for the explain plan though.
If you select the first SQL statement and press F6, the explain plan is executed correctly. If you try the same for any other statement, all you get is 'No SQL statement entered.' on the status bar.
MaciejIt is available.
Type this in.
create table xx (yy number(10));
create table zz (aa number(10));
select * from xx;
select * from zz;Run all these statements by pressing f5.
Place the cursor on 'select * from xx;'.
Press f6 gives you a plan.
Place the cursor on 'select * from zz;'
press f6 gives you a different plan.
The problem seems to be that F6 is still suffering from a statement selection bug which is already fixed for f9. That is selecting a whole statement results in failure to recognise a statement and the 'No statement entered' message. -
Multiple objects to have the same rollover state at the same time (but link to different pages)
Hi,
I have a mac
I would like to know how i can have multiple images with the same rollover states - but which show up at the same time on more than one image, (but each item to have its own linking property applied to it)?
see image below: i want both box 'A' to pop with the same rollover state even if I'm hovering on just one of the boxes. But i want each of the boxes to link to different pages in my website.
Ive tried grouping the images and moving them to their own layer, but the rollovers aren't 'linking' together on multiple objects
help!
thanksIt's not, but you don't need that to achieve the behavior you've described. A1, a trigger, will have the states and hyperlink you desire. On rollover it will show its rollover state and will show its target container which will be directly on top of A2. It will look like a rollover state for A2. Repeat this for A2, B1 and B2 and I believe you achieve the behavior you've described. It's just a different way of approaching the problem (that happens to fit the tools available in Muse).
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Support for Multiple Hierarchies defined for the same GL Segment
Hi,
In our eBS setup, we have multiple hierarchies defined for a GL Segment.
OOTB, BI Apps 7.9.6.3 provides support for 10 Segments, and it's corresponding Hierarchies (1 Hierarchy for each Segment).
My question here is whether OOTB BI Apps 7.9.6.3 supports Multiple Hierarchies for the same Segment?+
Thanks,
Abno it is not supported OOTB as of today
you need to customize ETL mappings and OBIEE metadata to include hierarchy identifiers from the EBS segment definitions.
Then you have to consider that filtering a hierarchy identifier becomes mandatory during query execution to avoid aggregation of duplicated values. -
Combine multiple web services with the same SQL query into one
Hello,
I would like to ask a question regarding combine multiple similar web services into one. Can you please tell me if it is possible to combine 4-5 web services into one since they built on the same SQL query with 5 different criterias or condition so that the user can enter any of the 5 criterias to populate the data on the form instead of having 5 different web services?
e.g Query: Select appName, permit#, address, phone, description, type, section, from table where appName = can be 'appName, permit#, address, phone, or description' to populate the rest of the data to the form.
Does any one have ever done some thing like this in Workbench ES? If so please assist. I know it can be easier to build it in Visual Basic, C#, or dot.net but the requirement is to build it in workbench ES.
Thanks in advance,
Han DaoIf you are querying for Name, PhoneNumber, and SSN, and you queried for all people with a phone number that started with 867, you would have a potentially long list of people. So to keep track of all of the people, we store each record in XML complex elements. The root node is just any name you want, and the repeating element is the complex element name.
So using the example from above, I'm going to specify the following:
Root Node: Result
Repeating Element: Person
So now when I do a query, my resultXML will look like:
<Result>
<Person>
<Name>Alex</Name>
<PhoneNumber>867-5309</PhoneNumber>
<SSN>111-11-1111</SSN>
</Person>
</Result>
If your query returned multiple results (like ours would probably), it would look like:
<Result>
<Person>
<Name>Alex</Name>
<PhoneNumber>867-5309</PhoneNumber>
<SSN>111-11-1111</SSN>
</Person>
<Person>
<Name>Han</Name>
<PhoneNumber>867-2169</PhoneNumber>
<SSN>222-22-2222</SSN>
</Person>
</Result>
So Result and Person is just to give a little bit of structure to the xml result (containers really). So you can name them whatever is helpful for you.
The column name mappings map the query columns (Name, PhoneNumber, SSN) to some node in the XML (Name, PhoneNumber, SSN). So you don't need to specify which field maps to what in the form. Just copy the column names to the element name so you have a 1-to-1 naming. If you want to manipulate the XML a bit though, you could do:
Column Name Element
Name YourName
PhoneNumber Phone
SSN Secret
which would then make your xml look like:
<Result>
<Person>
<YourName>Alex</YourName>
<Phone>867-5309</Phone>
<Secret>111-11-1111</Secret>
</Person>
</Result>
It lets you change the XML element names to whatever you want. Otherwise by default they take on their column names.
In your form, you could bind to the WSDL through the Data Connections pane and point it to your web service. This will then create form elements that you can just drag and drop allowing you to have the information available when the service gets ran. Once the service is called, you can modify the field's data to get whatever information you need in order to populate other form fields.
If that is too confusing, feel free to send me your form (e-mail is on profile page) and I'll add comments to it to show you how to set up the form for the web service call (and also give me the link to your webservice) -
Oracle Coherence*Web and BlazeDS: Multiple FlexSessions created for the same HttpSession
Hi all,
I have searched this forum and found a lot of good information from Alex Glosband and others about the infamous "Detected duplicate HTTP - based FlexSessions, generally due to the remote host disabling session cookies. Session coolkies must be enable to manage the client connection correctly." message.
It seems, however, none of the cases are identical to ours. This is ours:
- Resin 3.1.9
- Oracle Coherence 3.7.1 with Coherence*Web (session replication)
With this setup we get the "Detected duplicate HTTP..." message on the first attempt to use BlazeDS and on every subsequent call. The same client and server code works fine in a local sessions setup. With Coherence 3.3 (currently our production environment) it seems to occur less frequently, but still as frequent as it is a major issue for us. It fails even with a single node using in-process distributed caching in our test setup (as well as with multi node out of process caching in our staging environment, for Coherence knowledgeable the resin app server runs with tangosol.coherence.session.localstorage=true in the first case and false in the second).
Both the listener and message broker are mapped as "Coherence aware" in web.xml[1] so that they should use clustered sessions.
We have been digging a bit and we found out that if we commented out lines 427 and 434 of flex.messaging.endpoints.BaseHTTPEndpoint from version 4.0.0.14931 it seems to mask the bug. We added some logging in the setupFlexClient method and it seems that we get more or less a new FlexSession for each and every call - but they have the same cookie and thus underlying HttpSession. I.e. the list returned from flexClient.getFlexSessions() keeps growing. Thus we are not so keen on going to production with that memory leak and the above mentioned ugly hack of commenting out the detection of duplicates.
We use request scope for the remote object, but could in theory use any scope as we do not really have any state on the object itself, it is all HttpSession state and return values that are key (logon is performed prior to doing the first blaze call, in pure forms and ajax, and it is not a timing issue in that regard we are seeing).
Hope someone can shed some light on what can be happening. Is there any "reference testing"[2] or something when the FlexSessions are created that makes them being created as new? Where are they created? We do not know the inner workings of the BlazeDS source, we just watched the call trace of the unwanted invalidation and found that to be line 427 of flex.messaging.endpoints.BaseHTTPEndpoint.
Can we disable FlexSessions? Since the flex and plain html parts of the app share the sessions, we always use FlexContext.getHttpRequest().getSession() anyway, never storing any state directly in the FlexSession or on the remote object. Or maybe there is a config option to help us with this detection (or creation) of multiple FlexSessions?
Cheers and TIA,
-S-
[1] - For instance, this i the message broker servlet def:
<servlet>
<servlet-name>MessageBrokerServlet</servlet-name>
<display-name>MessageBrokerServlet</display-name>
<servlet-class>com.tangosol.coherence.servlet.api22.ServletWrapper</servlet-class>
<init-param>
<param-name>coherence-servlet-class</param-name>
<param-value>flex.messaging.MessageBrokerServlet</param-value>
</init-param>
<init-param>
<param-name>services.configuration.file</param-name>
<param-value>/WEB-INF/flex/services-config.xml</param-value>
</init-param>
<load-on-startup>1</load-on-startup>
</servlet>
[2] - As you undertstand this is speculation based on pure air, but it could be that in Coherence there was a serialization/deserialization happening somehow that would break such a test?Just a quick update, it seems things are running in a stable fashion (and without visible memory leaks, just keeping the latest FlexSession) with these changes in BaseHTTPEndpoint:
* Overrides to guard against duplicate HTTP-based sessions for the same FlexClient which will occur if the remote host has disabled session
* cookies.
* @see AbstractEndpoint#setupFlexClient(String)
@Override
public FlexClient setupFlexClient(String id) {
log.debug("setupFlexClient start id " + id);
FlexClient flexClient = super.setupFlexClient(id);
// Scan for duplicate HTTP-sessions and if found, invalidate them and throw a MessageException.
// A request attribute is used to deal with batched AMF messages that arrive in a single request by trigger multiple passes through this
// method.
boolean duplicateSessionDetected = (FlexContext.getHttpRequest().getAttribute(REQUEST_ATTR_DUPLICATE_SESSION_FLAG) != null);
if (!duplicateSessionDetected) {
List<FlexSession> sessions = flexClient.getFlexSessions();
log.debug("Client has " + sessions.size() + " sessions.");
int n = sessions.size();
if (n > 1) {
int count = 0;
for (int i = 0; i < n; i++) {
if (sessions.get(i) instanceof HttpFlexSession)
count++;
if (count > 1) {
FlexContext.getHttpRequest().setAttribute(REQUEST_ATTR_DUPLICATE_SESSION_FLAG, Boolean.TRUE);
duplicateSessionDetected = true;
break;
// If more than one was found, remote host isn't using session cookies. Kill all duplicate sessions and return an error.
// Simplest to just re-scan the list given that it will be very short, but use an iterator for concurrent modification.
int i = 0;
if (duplicateSessionDetected) {
List<FlexSession> sessions = flexClient.getFlexSessions();
log.debug("Detected sessions from client: " + sessions);
for (FlexSession session : sessions) {
if (session instanceof HttpFlexSession && i < sessions.size()) {
// log.debug("----> sessionId: " + session.getId());
// Enumeration e1 = session.getAttributeNames();
// while (e1.hasMoreElements()) {
// Object key = e1.nextElement();
// log.debug("--------->" + key + "--------->" + session.getAttribute((String) key));
// session.invalidate();
flexClient.sessionDestroyed(session);
i++;
// Return an error to the client.
// DuplicateSessionException e = new DuplicateSessionException();
// e.setMessage(ERR_MSG_DUPLICATE_SESSIONS_DETECTED);
// throw e;
return flexClient;
It is not exactly beautiful (to say the least), but if it does the trick I might just be pragmatic enough to go with it... NB: I am of course not proposing this as a patch to this file or anything, it is just an ugly hack for our specific case, but maybe the information can help the BlazeDS team find the root cause making it incompatible with Coherence*Web.
Will give it a test run on our staging servers.
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