Unable to calculate response time.
Hi,
The response time for quality system is not getting updated. On further analysis we came to know the job SAP_COLLECTOR_FOR_PERFMONITOR ws not scheduled. we rescheduled the job. now it is running fine but still complete stats are not getting updated.( getting updated partly) missing few hours in between.
Can you please help.
Thanks,
Vijay
Hi Markus,
This jobs are already scheduled. I have already checked SAP_COLLECTOR_FOR_PERFMONITOR. This is running on a hourly basis. SAP_COLLECTOR_FOR_JOBSTATISTIC is running on daily basis. now is there something else we need to check.
Thanks in advance
Vijay
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How to calculate Response time in HH:MM:SS format ?
Hi,
How can we calculate reponse time in HH:MM:SS format?
I have tried this formula but doesnt really seems to be providing desired output
CAST (FLOOR (TIMESTAMPDIFF (SQL_TSI_HOUR, "Service Request"."Opened Date and Time" , "Service Request"."Closed Date and Time" ) /24) as CHAR) || ' Days, ' || CAST (FLOOR((TIMESTAMPDIFF (SQL_TSI_MINUTE, "Service Request"."Opened Date and Time" , "Service Request"."Closed Date and Time" ) - FLOOR (TIMESTAMPDIFF (SQL_TSI_HOUR, "Service Request"."Opened Date and Time" , "Service Request"."Closed Date and Time" ) /24) *1440)/60) as CHAR) || ' Hours, ' || CAST (TIMESTAMPDIFF(SQL_TSI_MINUTE, "Service Request"."Opened Date and Time" , "Service Request"."Closed Date and Time" ) - (FLOOR (TIMESTAMPDIFF (SQL_TSI_HOUR, "Service Request"."Opened Date and Time" , "Service Request"."Closed Date and Time" ) /24) *1440) - (FLOOR((TIMESTAMPDIFF (SQL_TSI_MINUTE, "Service Request"."Opened Date and Time" , "Service Request"."Closed Date and Time" ) - FLOOR (TIMESTAMPDIFF (SQL_TSI_HOUR, "Service Request"."Opened Date and Time" , "Service Request"."Closed Date and Time" ) /24) *1440)/60)*60) as CHAR) || ' Minutes'
Output for this formula :
Opened Time Closed Time Response Time
16/10/2008 08:50:00 21/10/2008 11:33:21 5 Days, 2 Hours, 43 Minutes
16/10/2008 08:57:00 24/10/2008 15:17:38 8 Days, 6 Hours, 21 Minutes
16/10/2008 09:55:00 27/11/2008 10:44:36 42 Days, 0 Hours, 50 Minutes
16/10/2008 10:13:00 21/10/2008 13:53:38 5 Days, 3 Hours, 41 Minutes
16/10/2008 11:18:00 20/10/2008 09:11:29 3 Days, 21 Hours, 53 Minutes
I just need time difference between Closed Time and Open time in HH:MM:SS format.
Regards
AhmedWITH m AS
SELECT [Minutes] = CAST(21.52 * 60 AS int)
SELECT CAST([Minutes] / 60 AS varchar) + ':' + RIGHT(100 + [Minutes] % 60, 2)
FROM m
Best Regards,Uri Dimant SQL Server MVP,
http://sqlblog.com/blogs/uri_dimant/
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Unable to decrease response time
hi to all
I am stuck in a problem, we have a aironet 1300 with yagi antenna we get the response but it was very hi i.e 1500 msec
Can any body tell me wat can i do to decrease the response time
ThanksAs u stated that when u changed the direction of the antenna , you got a better respose time that means the better alignment is required ..
Okay let me know how you do the alignement ?
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i am working on SSRS. we have some chat data like chat ID,chat_time,visitor-ID and operator Id. suppose data is like this
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Dim shared AA As String
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CC=Item
End If
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End If
End Function
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Modify the expression of the new cell as follows:
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The following screenshot is for your reference:
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Thanks,
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Katherine Xiong
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GENERAL INFORMATION SECTION
Tuning Task Name : BFG_TUNING1
Tuning Task Owner : ARADMIN
Scope : COMPREHENSIVE
Time Limit(seconds) : 60
Completion Status : COMPLETED
Started at : 01/28/2013 15:48:39
Completed at : 01/28/2013 15:49:43
Number of SQL Restructure Findings: 7
Number of Errors : 1
Schema Name: ARADMIN
SQL ID : 2d61kbs9vpvp6
SQL Text : SELECT /*+no_merge(chg)*/ chg.CHANGE_REFERENCE,
chg.Customer_Name, chg.Customer_ID, chg.Contract_ID,
chg.Change_Title, chg.Change_Type, chg.Change_Description,
chg.Risk, chg.Impact, chg.Urgency, chg.Scheduled_Start_Date,
chg.Scheduled_End_Date, chg.Scheduled_Start_Date_Int,
chg.Scheduled_End_Date_Int, chg.Outage_Required,
chg.Change_Status, chg.Change_Status_IM, chg.Reason_for_change,
chg.Customer_Visible, chg.Change_Source,
chg.Related_Ticket_Type, chg.Related_Ticket_ID,
chg.Requested_By, chg.Requested_For, chg.Site_ID, chg.Site_Name,
chg.Element_id, chg.Element_Type, chg.Element_Name,
chg.Search_flag, chg.remedy_id, chg.Change_Manager,
chg.Email_Manager, chg.Queue, a.customer as CUSTOMER_IM,
a.contract as CONTRACT_IM, a.cid FROM exp_cm_cusid1 a, (sELECT *
FROM EXP_BFG_CM_JOIN_V WHERE CUSTOMER_ID = 14187) chg WHERE
a.bfg_con_id IS NULL AND a.bfg_cus_id = chg.customer_id AND
NOT EXISTS (SELECT a.bfg_con_id FROM exp_cm_cusid1 a WHERE
a.bfg_con_id IS NOT NULL AND a.bfg_cus_id = chg.customer_id
AND a.bfg_con_id = chg.contract_id ) UNION SELECT
/*+no_marge(chg)*/ chg.CHANGE_REFERENCE, chg.Customer_Name,
chg.Customer_ID, chg.Contract_ID, chg.Change_Title,
chg.Change_Type, chg.Change_Description, chg.Risk, chg.Impact,
chg.Urgency, chg.Scheduled_Start_Date, chg.Scheduled_End_Date,
chg.Scheduled_Start_Date_Int, chg.Scheduled_End_Date_Int,
chg.Outage_Required, chg.Change_Status, chg.Change_Status_IM,
chg.Reason_for_change, chg.Customer_Visible, chg.Change_Source,
chg.Related_Ticket_Type, chg.Related_Ticket_ID,
chg.Requested_By, chg.Requested_For, chg.Site_ID, chg.Site_Name,
chg.Element_id, chg.Element_Type, chg.Element_Name,
chg.Search_flag, chg.remedy_id, chg.Change_Manager,
chg.Email_Manager, chg.Queue, a.customer as CUSTOMER_IM,
a.contract as CONTRACT_IM, a.cid FROM exp_cm_cusid1 a, (sELECT *
FROM EXP_BFG_CM_JOIN_V WHERE CUSTOMER_ID = 14187) chg WHERE
a.bfg_cus_id = chg.customer_id AND a.bfg_con_id =
chg.contract_id AND a.bfg_con_id IS NOT NULL
FINDINGS SECTION (7 findings)
1- Restructure SQL finding (see plan 1 in explain plans section)
The predicate REGEXP_LIKE ("T100"."C536871160",'^[[:digit:]]+$') used at
line ID 26 of the execution plan contains an expression on indexed column
"C536871160". This expression prevents the optimizer from selecting indices
on table "ARADMIN"."T100".
Recommendation
- Rewrite the predicate into an equivalent form to take advantage of
indices. Alternatively, create a function-based index on the expression.
Rationale
The optimizer is unable to use an index if the predicate is an inequality
condition or if there is an expression or an implicit data type conversion
on the indexed column.
2- Restructure SQL finding (see plan 1 in explain plans section)
The predicate TO_NUMBER(TRIM("T100"."C536871160"))=:B1 used at line ID 26 of
the execution plan contains an expression on indexed column "C536871160".
This expression prevents the optimizer from selecting indices on table
"ARADMIN"."T100".
Recommendation
- Rewrite the predicate into an equivalent form to take advantage of
indices. Alternatively, create a function-based index on the expression.
Rationale
The optimizer is unable to use an index if the predicate is an inequality
condition or if there is an expression or an implicit data type conversion
on the indexed column.
3- Restructure SQL finding (see plan 1 in explain plans section)
The predicate REGEXP_LIKE ("T100"."C536871160",'^[[:digit:]]+$') used at
line ID 10 of the execution plan contains an expression on indexed column
"C536871160". This expression prevents the optimizer from selecting indices
on table "ARADMIN"."T100".
Recommendation
- Rewrite the predicate into an equivalent form to take advantage of
indices. Alternatively, create a function-based index on the expression.
Rationale
The optimizer is unable to use an index if the predicate is an inequality
condition or if there is an expression or an implicit data type conversion
on the indexed column.
4- Restructure SQL finding (see plan 1 in explain plans section)
The predicate TO_NUMBER(TRIM("T100"."C536871160"))=:B1 used at line ID 10 of
the execution plan contains an expression on indexed column "C536871160".
This expression prevents the optimizer from selecting indices on table
"ARADMIN"."T100".
Recommendation
- Rewrite the predicate into an equivalent form to take advantage of
indices. Alternatively, create a function-based index on the expression.
Rationale
The optimizer is unable to use an index if the predicate is an inequality
condition or if there is an expression or an implicit data type conversion
on the indexed column.
5- Restructure SQL finding (see plan 1 in explain plans section)
The predicate REGEXP_LIKE ("T100"."C536871160",'^[[:digit:]]+$') used at
line ID 6 of the execution plan contains an expression on indexed column
"C536871160". This expression prevents the optimizer from selecting indices
on table "ARADMIN"."T100".
Recommendation
- Rewrite the predicate into an equivalent form to take advantage of
indices. Alternatively, create a function-based index on the expression.
Rationale
The optimizer is unable to use an index if the predicate is an inequality
condition or if there is an expression or an implicit data type conversion
on the indexed column.
6- Restructure SQL finding (see plan 1 in explain plans section)
The predicate TO_NUMBER(TRIM("T100"."C536871160"))=:B1 used at line ID 6 of
the execution plan contains an expression on indexed column "C536871160".
This expression prevents the optimizer from selecting indices on table
"ARADMIN"."T100".
Recommendation
- Rewrite the predicate into an equivalent form to take advantage of
indices. Alternatively, create a function-based index on the expression.
Rationale
The optimizer is unable to use an index if the predicate is an inequality
condition or if there is an expression or an implicit data type conversion
on the indexed column.
7- Restructure SQL finding (see plan 1 in explain plans section)
An expensive "UNION" operation was found at line ID 1 of the execution plan.
Recommendation
- Consider using "UNION ALL" instead of "UNION", if duplicates are allowed
or uniqueness is guaranteed.
Rationale
"UNION" is an expensive and blocking operation because it requires
elimination of duplicate rows. "UNION ALL" is a cheaper alternative,
assuming that duplicates are allowed or uniqueness is guaranteed.
ERRORS SECTION
- The current operation was interrupted because it timed out.
EXPLAIN PLANS SECTION
1- Original
Plan hash value: 1047651452
| Id | Operation | Name | Rows | Bytes | Cost (%CPU)| Time | Inst |IN-OUT|
| 0 | SELECT STATEMENT | | 2 | 28290 | 567 (37)| 00:00:07 | | |
| 1 | SORT UNIQUE | | 2 | 28290 | 567 (37)| 00:00:07 | | |
| 2 | UNION-ALL | | | | | | | |
|* 3 | HASH JOIN RIGHT ANTI | | 1 | 14158 | 373 (5)| 00:00:05 | | |
| 4 | VIEW | VW_SQ_1 | 1 | 26 | 179 (3)| 00:00:03 | | |
| 5 | NESTED LOOPS | | 1 | 37 | 179 (3)| 00:00:03 | | |
|* 6 | TABLE ACCESS FULL | T100 | 1 | 28 | 178 (3)| 00:00:03 | | |
|* 7 | INDEX RANGE SCAN | I1451_536870913_1 | 1 | 9 | 1 (0)| 00:00:01 | | |
| 8 | NESTED LOOPS | | 1 | 14132 | 193 (5)| 00:00:03 | | |
|* 9 | HASH JOIN | | 1 | 14085 | 192 (5)| 00:00:03 | | |
|* 10 | TABLE ACCESS FULL | T100 | 1 | 28 | 178 (3)| 00:00:03 | | |
| 11 | VIEW | EXP_BFG_CM_JOIN_V | 3 | 42171 | 13 (24)| 00:00:01 | | |
| 12 | UNION-ALL | | | | | | | |
|* 13 | HASH JOIN | | 1 | 6389 | 5 (20)| 00:00:01 | | |
| 14 | REMOTE | PROP_CHANGE_REQUEST_V | 1 | 5979 | 2 (0)| 00:00:01 | ARS_B~ | R->S |
| 15 | REMOTE | PROP_CHANGE_INVENTORY_V | 1 | 410 | 2 (0)| 00:00:01 | ARS_B~ | R->S |
| 16 | HASH UNIQUE | | 1 | 6052 | 6 (34)| 00:00:01 | | |
|* 17 | HASH JOIN | | 1 | 6052 | 5 (20)| 00:00:01 | | |
| 18 | REMOTE | PROP_CHANGE_REQUEST_V | 1 | 5979 | 2 (0)| 00:00:01 | ARS_B~ | R->S |
| 19 | REMOTE | PROP_CHANGE_INVENTORY_V | 1 | 73 | 2 (0)| 00:00:01 | ARS_B~ | R->S |
| 20 | HASH UNIQUE | | 1 | 5979 | 3 (34)| 00:00:01 | | |
| 21 | REMOTE | PROP_CHANGE_REQUEST_V | 1 | 5979 | 2 (0)| 00:00:01 | ARS_B~ | R->S |
| 22 | TABLE ACCESS BY INDEX ROWID| T1451 | 1 | 47 | 1 (0)| 00:00:01 | | |
|* 23 | INDEX RANGE SCAN | I1451_536870913_1 | 1 | | 1 (0)| 00:00:01 | | |
| 24 | NESTED LOOPS | | 1 | 14132 | 193 (5)| 00:00:03 | | |
|* 25 | HASH JOIN | | 1 | 14085 | 192 (5)| 00:00:03 | | |
|* 26 | TABLE ACCESS FULL | T100 | 1 | 28 | 178 (3)| 00:00:03 | | |
| 27 | VIEW | EXP_BFG_CM_JOIN_V | 3 | 42171 | 13 (24)| 00:00:01 | | |
| 28 | UNION-ALL | | | | | | | |
|* 29 | HASH JOIN | | 1 | 6389 | 5 (20)| 00:00:01 | | |
| 30 | REMOTE | PROP_CHANGE_REQUEST_V | 1 | 5979 | 2 (0)| 00:00:01 | ARS_B~ | R->S |
| 31 | REMOTE | PROP_CHANGE_INVENTORY_V | 1 | 410 | 2 (0)| 00:00:01 | ARS_B~ | R->S |
| 32 | HASH UNIQUE | | 1 | 6052 | 6 (34)| 00:00:01 | | |
|* 33 | HASH JOIN | | 1 | 6052 | 5 (20)| 00:00:01 | | |
| 34 | REMOTE | PROP_CHANGE_REQUEST_V | 1 | 5979 | 2 (0)| 00:00:01 | ARS_B~ | R->S |
| 35 | REMOTE | PROP_CHANGE_INVENTORY_V | 1 | 73 | 2 (0)| 00:00:01 | ARS_B~ | R->S |
| 36 | HASH UNIQUE | | 1 | 5979 | 3 (34)| 00:00:01 | | |
| 37 | REMOTE | PROP_CHANGE_REQUEST_V | 1 | 5979 | 2 (0)| 00:00:01 | ARS_B~ | R->S |
| 38 | TABLE ACCESS BY INDEX ROWID | T1451 | 1 | 47 | 1 (0)| 00:00:01 | | |
|* 39 | INDEX RANGE SCAN | I1451_536870913_1 | 1 | | 1 (0)| 00:00:01 | | |
Predicate Information (identified by operation id):
3 - access("ITEM_0"="EXP_BFG_CM_JOIN_V"."CUSTOMER_ID" AND "ITEM_1"="EXP_BFG_CM_JOIN_V"."CONTRACT_ID")
6 - filter("C536871050" LIKE '%FMS%' AND REGEXP_LIKE ("C536871160",'^[[:digit:]]+$') AND ("C536871088" IS NULL
OR REGEXP_LIKE ("C536871088",'^[[:digit:]]+$')) AND TO_NUMBER(TRIM("C536871088")) IS NOT NULL AND
TO_NUMBER(TRIM("C536871160"))=:SYS_B_0 AND "C536871160" IS NOT NULL AND "C536871050" IS NOT NULL AND "C7"=0)
7 - access("C536870913"="C536870914")
9 - access("EXP_BFG_CM_JOIN_V"."CUSTOMER_ID"=TO_NUMBER(TRIM("C536871160")))
10 - filter("C536871050" LIKE '%FMS%' AND REGEXP_LIKE ("C536871160",'^[[:digit:]]+$') AND ("C536871088" IS NULL
OR REGEXP_LIKE ("C536871088",'^[[:digit:]]+$')) AND TO_NUMBER(TRIM("C536871088")) IS NULL AND
TO_NUMBER(TRIM("C536871160"))=:SYS_B_0 AND "C536871160" IS NOT NULL AND "C536871050" IS NOT NULL AND "C7"=0)
13 - access("CHG"."PRP_CHG_REFERENCE"="INV"."PRP_CHG_REFERENCE")
17 - access("CHG"."PRP_CHG_REFERENCE"="INV"."PRP_CHG_REFERENCE")
23 - access("C536870913"="C536870914")
25 - access("EXP_BFG_CM_JOIN_V"."CUSTOMER_ID"=TO_NUMBER(TRIM("C536871160")) AND
"EXP_BFG_CM_JOIN_V"."CONTRACT_ID"=TO_NUMBER(TRIM("C536871088")))
26 - filter("C536871050" LIKE '%FMS%' AND REGEXP_LIKE ("C536871160",'^[[:digit:]]+$') AND ("C536871088" IS NULL
OR REGEXP_LIKE ("C536871088",'^[[:digit:]]+$')) AND TO_NUMBER(TRIM("C536871088")) IS NOT NULL AND
TO_NUMBER(TRIM("C536871160"))=:SYS_B_1 AND "C536871160" IS NOT NULL AND "C536871050" IS NOT NULL AND "C7"=0)
29 - access("CHG"."PRP_CHG_REFERENCE"="INV"."PRP_CHG_REFERENCE")
33 - access("CHG"."PRP_CHG_REFERENCE"="INV"."PRP_CHG_REFERENCE")
39 - access("C536870913"="C536870914")
Remote SQL Information (identified by operation id):
14 - SELECT "PRP_CHG_REFERENCE","CUS_ID","CUS_NAME","CNT_BFG_ID","PRP_TITLE","PRP_CHG_TYPE","PRP_DESCRIPTION","PR
P_BTIGNITE_PRIORITY","PRP_CUSTOMER_PRIORITY","PRP_CHG_URGENCY","PRP_RESPONSE_REQUIRED_BY","PRP_REQUIRED_BY_DATE","P
RP_CHG_OUTAGE_FLAG","PRP_CHG_STATUS","PRP_CHG_FOR_REASON","PRP_CHG_CUSTOMER_VISIBILITY","PRP_CHG_SOURCE_SYSTEM","PR
P_RELATED_TICKET_TYPE","PRP_RELATED_TICKET_ID","CHANGE_INITIATOR","CHANGE_ORIGINATOR","CHANGE_MANAGER","QUEUE"
FROM "PROP_OWNER2"."PROP_CHANGE_REQUEST_V" "CHG" WHERE "CUS_ID"=:1 (accessing 'ARS_BFG_DBLINK.WORLD' )
15 - SELECT "PRP_CHG_REFERENCE","SIT_ID","SIT_NAME","ELEMENT_SUMMARY","PRODUCT_NAME" FROM
"PROP_OWNER2"."PROP_CHANGE_INVENTORY_V" "INV" (accessing 'ARS_BFG_DBLINK.WORLD' )
18 - SELECT "PRP_CHG_REFERENCE","CUS_ID","CUS_NAME","CNT_BFG_ID","PRP_TITLE","PRP_CHG_TYPE","PRP_DESCRIPTION","PR
P_BTIGNITE_PRIORITY","PRP_CUSTOMER_PRIORITY","PRP_CHG_URGENCY","PRP_RESPONSE_REQUIRED_BY","PRP_REQUIRED_BY_DATE","P
RP_CHG_OUTAGE_FLAG","PRP_CHG_STATUS","PRP_CHG_FOR_REASON","PRP_CHG_CUSTOMER_VISIBILITY","PRP_CHG_SOURCE_SYSTEM","PR
P_RELATED_TICKET_TYPE","PRP_RELATED_TICKET_ID","CHANGE_INITIATOR","CHANGE_ORIGINATOR","CHANGE_MANAGER","QUEUE"
FROM "PROP_OWNER2"."PROP_CHANGE_REQUEST_V" "CHG" WHERE "CUS_ID"=:1 (accessing 'ARS_BFG_DBLINK.WORLD' )
19 - SELECT "PRP_CHG_REFERENCE","SIT_ID","SIT_NAME" FROM "PROP_OWNER2"."PROP_CHANGE_INVENTORY_V" "INV"
(accessing 'ARS_BFG_DBLINK.WORLD' )
21 - SELECT "PRP_CHG_REFERENCE","CUS_ID","CUS_NAME","CNT_BFG_ID","PRP_TITLE","PRP_CHG_TYPE","PRP_DESCRIPTION","PR
P_BTIGNITE_PRIORITY","PRP_CUSTOMER_PRIORITY","PRP_CHG_URGENCY","PRP_RESPONSE_REQUIRED_BY","PRP_REQUIRED_BY_DATE","P
RP_CHG_OUTAGE_FLAG","PRP_CHG_STATUS","PRP_CHG_FOR_REASON","PRP_CHG_CUSTOMER_VISIBILITY","PRP_CHG_SOURCE_SYSTEM","PR
P_RELATED_TICKET_TYPE","PRP_RELATED_TICKET_ID","CHANGE_INITIATOR","CHANGE_ORIGINATOR","CHANGE_MANAGER","QUEUE"
FROM "PROP_OWNER2"."PROP_CHANGE_REQUEST_V" "CHG" WHERE "CUS_ID"=:1 (accessing 'ARS_BFG_DBLINK.WORLD' )
30 - SELECT "PRP_CHG_REFERENCE","CUS_ID","CUS_NAME","CNT_BFG_ID","PRP_TITLE","PRP_CHG_TYPE","PRP_DESCRIPTION","PR
P_BTIGNITE_PRIORITY","PRP_CUSTOMER_PRIORITY","PRP_CHG_URGENCY","PRP_RESPONSE_REQUIRED_BY","PRP_REQUIRED_BY_DATE","P
RP_CHG_OUTAGE_FLAG","PRP_CHG_STATUS","PRP_CHG_FOR_REASON","PRP_CHG_CUSTOMER_VISIBILITY","PRP_CHG_SOURCE_SYSTEM","PR
P_RELATED_TICKET_TYPE","PRP_RELATED_TICKET_ID","CHANGE_INITIATOR","CHANGE_ORIGINATOR","CHANGE_MANAGER","QUEUE"
FROM "PROP_OWNER2"."PROP_CHANGE_REQUEST_V" "CHG" WHERE "CUS_ID"=:1 (accessing 'ARS_BFG_DBLINK.WORLD' )
31 - SELECT "PRP_CHG_REFERENCE","SIT_ID","SIT_NAME","ELEMENT_SUMMARY","PRODUCT_NAME" FROM
"PROP_OWNER2"."PROP_CHANGE_INVENTORY_V" "INV" (accessing 'ARS_BFG_DBLINK.WORLD' )
34 - SELECT "PRP_CHG_REFERENCE","CUS_ID","CUS_NAME","CNT_BFG_ID","PRP_TITLE","PRP_CHG_TYPE","PRP_DESCRIPTION","PR
P_BTIGNITE_PRIORITY","PRP_CUSTOMER_PRIORITY","PRP_CHG_URGENCY","PRP_RESPONSE_REQUIRED_BY","PRP_REQUIRED_BY_DATE","P
RP_CHG_OUTAGE_FLAG","PRP_CHG_STATUS","PRP_CHG_FOR_REASON","PRP_CHG_CUSTOMER_VISIBILITY","PRP_CHG_SOURCE_SYSTEM","PR
P_RELATED_TICKET_TYPE","PRP_RELATED_TICKET_ID","CHANGE_INITIATOR","CHANGE_ORIGINATOR","CHANGE_MANAGER","QUEUE"
FROM "PROP_OWNER2"."PROP_CHANGE_REQUEST_V" "CHG" WHERE "CUS_ID"=:1 (accessing 'ARS_BFG_DBLINK.WORLD' )
35 - SELECT "PRP_CHG_REFERENCE","SIT_ID","SIT_NAME" FROM "PROP_OWNER2"."PROP_CHANGE_INVENTORY_V" "INV"
(accessing 'ARS_BFG_DBLINK.WORLD' )
37 - SELECT "PRP_CHG_REFERENCE","CUS_ID","CUS_NAME","CNT_BFG_ID","PRP_TITLE","PRP_CHG_TYPE","PRP_DESCRIPTION","PR
P_BTIGNITE_PRIORITY","PRP_CUSTOMER_PRIORITY","PRP_CHG_URGENCY","PRP_RESPONSE_REQUIRED_BY","PRP_REQUIRED_BY_DATE","P
RP_CHG_OUTAGE_FLAG","PRP_CHG_STATUS","PRP_CHG_FOR_REASON","PRP_CHG_CUSTOMER_VISIBILITY","PRP_CHG_SOURCE_SYSTEM","PR
P_RELATED_TICKET_TYPE","PRP_RELATED_TICKET_ID","CHANGE_INITIATOR","CHANGE_ORIGINATOR","CHANGE_MANAGER","QUEUE"
FROM "PROP_OWNER2"."PROP_CHANGE_REQUEST_V" "CHG" WHERE "CUS_ID"=:1 (accessing 'ARS_BFG_DBLINK.WORLD' )
-------------------------------------------------------------------------------Please review the following threads:
{message:id=9360002}
{message:id=9360003} -
Set Start Position to Calculate Travel Time in Calendars
Hi All,
I am quite impressed with the new traveling time feature in Calendars, however I cannot seem to get the best out of it.
Is there a way to reset the start position for the calculations, I am thinking about the following senario;
Three appointments in the same day Appointment one calculates OK but appointment two calculates the start from the office and not the location of appointment one. Same thing happens with appointment three.
What I want to do is set the first appointment, calculate travelling time, set the second and calculate the traveling time from appointment one and then the same with appointment three.
The only way I have found to do this is to jump back and forward between calendar and maps and manually calculate like I used to do before this update.
Thanks in advance for any replies.sberman Southern California
This solved my questionRe: Calendar Travel Time Starting from Work when I want to Start from Home Oct 23, 2013 8:43 PM (in response to theglenlivet12)
From Calendar's help:
To set your starting location, Calendar first looks for your location in any events that are up to three hours before this event. If Calendar doesn’t find a location, it uses your work address during work hours and your home address during other hours. (Your work hours are set in Calendar preferences using the “Day starts at” and “Day ends at” menus.) If your card in Contacts doesn’t have your addresses, Calendar uses your computer’s current location. -
Query Tuning - Response time Statistics collection
Our Application is Load tested for a period of 1 hour with peak load.
For this specific period of time, say thousands of queries gets executed in the database,
What we need is say for one particular query " select XYZ from ABC" within this span of 1 hour, we need statistics like
Number of times Executed
Average Response time
Maximum response time
minimum response time
90th percentile response time ( sorted in ascending order, 90th percentile guy)
All these statistics are possible if i can get all the response times for that particular query for that period of 1 hour....
I tried using sql trace and TKPROF but unable to get all these statistics...
Application uses connection pooling, so connections are taken as and when needed...
Any thoughts on this?
Appreciate your help.I don't think v$sqlarea can help me out with the exact stats i needed, but certainly it has lot of other stats to take. B/w there is no dictionary view called v$sqlstats.
There are other applications which share the same database where i am trying to capture for my application, so flushing cache which currently has 30K rows is not feasible solution.
Any more thoughts on this? -
All,
What is the ideal Avg Response Time for a System?
Is there any formula to calculate?
What does SAP reccomend?Dear Bidwan,
Response time for dialog process is <b>generally based on sum of wait timeroll in timeload generation timeprocessing timelock time+db request time</b> and is measured at the application server level.
U can get these values from ST03(N) transaction.
Response time will differ for different systems, there is no such thing as ideal response time. System can be tuned to get any value for response time based on system resources and system load.
reward points if usefull.
Awaiz. -
Unable to calculate a request signature: Algorithm HmacSHA1 not available
I develop one javaFx application.
which upload the files on amazon s3 server.
The application work fine when the executable jar of the application is made.
But when the native packaging of the application is done. The .msi file is created and after installing this .msi the application started correctly but at the time of uploading file on s3 the "Unable to calculate a request signature: Algorithm HmacSHA1 not available" error occur in log file and files are not uploaded.
The creation of the jar and native application is done by the com.zenjava maven plugin.Got the solution.After creating native bundle the bundle have its own private copy of jre this private jre does not contain "ext" folder which is present in regular jre.
This causes the problem of cryptography which is the reason for above problem. -
Greetings All, I was hoping that others may have some insight into DB Control and how is reports ASM Disk response times.
First my environment:
Oracle RAC 11g R1 Standard Edition, Patchset 12
Two Node Cluster
Windows x64 2003 R2 DataCenter Edition.
I am leveraging DB Control to monitor the ASM instances along with the db instances. My issue is regarding how db control gathers metrics to report on average response time for the DISKS that make up the Disk Group.
I have two issues:
1.) The overall response time reported in db control for my disk group "DATA" does not jive with the average I calculate based on the numbers being reported by db control. E.g.) I have ten LUNS in my DATA disk group and if I calculate the mean avg response time from each individual disk as reported by db control I don't get the same number being reported by db control. The numbers differ by as much as 20%.
2.) The numbers reported by ASM for avg response time for each LUN in the disk group are not the same from disk to disk. E.g.) In my current production environment here are the Avg Response Times for each LUN in the group:
8.73, 11.38, 5.22, 4.13, 3.04, 15.84, 12.71, 12.91, 10.51, 9.25.
I would have expected that these disks would have had the same avg response time because ASM is working to guarantee that each disk has the same number of I/O's.
The disk array has identical disks for all 10.
Further, the average for all disks as being reported by db control is : 7.28.
If I do the math I get an average of 9.38, the % diff between these two numbers is 28%
I have heard that db control does a poor job of reporting on ASM disk metrics but this is just people grumbling. I was hoping that someone out there may have some solid facts regarding db control and ASM.hey....
maybe its be better off to open a generel discussion task on metalink....
*T -
dear all,
How do I calculate average response time per sql. And the time displayed is secs or milli-secs
using oracle 9i
Regards and thanks a lot
SL
Message was edited by:
user480060set autotrace traceonly
set arraysize 100 (or whatever size your program will use, to fetch millions, at least 100 to
500ish)
set timing on
alter session set sql_trace=true;
run query1
run query2...
exit
and tkprof it.
Source:http://asktom.oracle.com/pls/asktom/f?p=100:11:0::::P11_QUESTION_ID:8764517459743
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