How to calculate the 99th% times

I have a set of results for which I need to calculate response times other than the 90th% -- particularly the 99th%, but probably also the 95th% and 99.9th%.
What options are available for this? The reporting tool seems to calculate only the 90th% -- but since that value is calculated on the fly based on the time filter, the raw data must be available, presumably in the database. Is that schema documented anywhere so that I can pull out the numbers and do the calculation myself? Or is there some other approach?

Hello
Yes, you need either to export data from the console to CSV or XLS or go to the database.
Don't have a documented schema but see this kind of requests:
-- Report Timers par Steps
SELECT s.sessionname,
ch.countername,
ch.objname,
ch.instname,
round(min(cr.counterval),3) "Min",
round(max(cr.counterval),3) "Max",
round(avg(cr.counterval),3) "Avg",
sum(cr.iteration) "Pass",
sum(cr.errflag*1) "Fail",
round(stddev(cr.counterval),3) "Std Dev"
FROM olt.sessionrun s,
olt.counterhdr ch,
olt.counterrun cr
WHERE s.sessionrunid=ch.sessionrunid
AND ch.counterhdrid =cr.counterhdrid
AND ch.countername = 'Avg Server Time (sec)'
AND s.sessionname = '&1'
AND ch.instname LIKE '[%'
group by s.sessionname, ch.countername, ch.objname, ch.instname
ORDER BY s.sessionname, ch.countername, ch.objname, lpad(substr(instname, 2,instr(instname,']')-2), 3,'0')
JB

Similar Messages

How to calculate the % of time difference between different state

Hi there,
The below query returns the follwoign outptut. I need to calculate the % of time period that a specific state ( state ex: open or closed or all report )exists.
I have to find the time difference between the 2 states . How could I do that ?
The first row shows null for the previous state . How could get actual previous state for the first row?
SELECT si.station_name,
                vppstation.avi_control_state_code.STATE_SHORT_NAME,
                ash.state_id ,
                lag(ash.state_id) over (order by ash.STATE_EFF_DATE desc) previous_state,
                TO_NUMBER(TO_CHAR(ash.state_eff_date, 'SSSSS')) "periods in sec",
                TO_CHAR(ash.state_eff_date, 'dd-mon-yyyy hh24:mi:ss am') "Date"
           from vppstation.avi_state_history ash
left outer join vppstation.avi_control_state_code
             on ash.state_id = vppstation.avi_control_state_code.state_id
LEFT OUTER JOIN vpproadside.stations_installed si
             ON ash.station_id = si.station_id
          where ash.state_eff_date >= to_date('28/02/2010', 'dd/mm/yyyy')
            and ash.state_eff_date <= to_date('03/03/2010', 'dd/mm/yyyy') ;
       group by si.station_name
                     ash.state_id
       order by ash.state_eff_date asc ;
STATION_NAME                   STATE_SHORT_NAME STATE_ID               PREVIOUS_STATE         periods in sec         Date
IRDNCST02                      Open             1                    NULL                  85166                  01-mar-2010 23:39:26 pm
IRDNCST02                      All Report       3                      1                      85159                  01-mar-2010 23:39:19 pm
IRDNCMT01                      Closed           2                      3                      81376                  01-mar-2010 22:36:16 pm
IRDNCST02                      Open             1                      2                      78723                  01-mar-2010 21:52:03 pm
IRDNCST02                      All Report       3                      1                      76023                  01-mar-2010 21:07:03 pm
IRDNCMT01                      Open             1                      3                      55922                  01-mar-2010 15:32:02 pm
IRDNCMT01                      Closed           2                      1                      54931                  01-mar-2010 15:15:31 pm
IRDNCHA01                      Closed           2                      2                      41291                  01-mar-2010 11:28:11 am
IRDNCAS01                      Open             1                      2                      38847                  01-mar-2010 10:47:27 am
IRDNCAS01                      All Report       3                      1                      37947                  01-mar-2010 10:32:27 am
IRDNCST02                      Open             1                      3                      35332                  01-mar-2010 09:48:52 am
IRDNCST02                      All Report       3                      1                      32632                  01-mar-2010 09:03:52 am
IRDNCST02                      Open             1                      3                      31502                  01-mar-2010 08:45:02 am
IRDNCST02                      All Report       3                      1                      28802                  01-mar-2010 08:00:02 am
IRDNCHI01                      Open             1                      3                      25368                  01-mar-2010 07:02:48 am
IRDNCHI02                      Open             1                      1                      23939                  01-mar-2010 06:38:59 am
IRDNCMT01                      Open             1                      1                      20696                  01-mar-2010 05:44:56 am
IRDNCCH02                      Open             1                      1                      13452                  01-mar-2010 03:44:12 am
Edited by: Indhu Ram on Mar 11, 2010 1:34 PM
Edited by: Indhu Ram on Mar 11, 2010 2:20 PM

If you look at the table which is output of the given query , there is column called "STATE_ID" It shows the current state ie open or closed or all report.
The column 'PREVIOUS_STATE' shows the state before the current state. .In the table in 2nd row in previous_state column there is state_id = 1 (open)which is the state before 'all report state'

How to calculate the 99th percentile of a number stream ...

Environment:
Oracle 11.2.0.3 EE on Solaris 10.5
I have a stream of numbers (say 1000), I need to calculate the 99th percentile of the distribution of that stream such that when a new number 'n' is introduced I can tell if the new number is above the 99th percentile of the distribution of my stream.
I don't have a good feel for the nature of the distribution if that's important.
I am NOT, I repeat NOT a statistician! :-)
I have read the docs on the different functions available, ntile, percent_rank, percentile_cont, percentile_disc, etc. I have also read many articles referenced via Google.
The examples do not do exactly what I'm attempting and I was unable to get the result I need by trial and error (mostly!).
Any suggestions are most welcome!!!
If you need additional information I'll try to supply what I know.
-gary

Here are the CREATE TABLE and INSERT statements for some sample data:
create table sales(custno number, tran_dt date, amount number)Here are the INSERTs to load:
INSERT INTO SALES(custno, tran_dt, amount) VALUES (5, TO_DATE('23-MAR-12','DD-MON-RRRR'),3065);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (5, TO_DATE('29-FEB-12','DD-MON-RRRR'),8435);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (5, TO_DATE('29-FEB-12','DD-MON-RRRR'),9712);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (5, TO_DATE('20-MAR-12','DD-MON-RRRR'),1869);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (5, TO_DATE('03-AUG-12','DD-MON-RRRR'),647);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (5, TO_DATE('03-MAR-12','DD-MON-RRRR'),7434);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (5, TO_DATE('23-AUG-12','DD-MON-RRRR'),225);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (5, TO_DATE('01-SEP-12','DD-MON-RRRR'),28);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (5, TO_DATE('10-APR-12','DD-MON-RRRR'),9393);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('19-MAY-12','DD-MON-RRRR'),1010);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('29-FEB-12','DD-MON-RRRR'),2625);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('18-MAR-12','DD-MON-RRRR'),2511);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('15-AUG-12','DD-MON-RRRR'),1156);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('17-AUG-12','DD-MON-RRRR'),5106);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('19-AUG-12','DD-MON-RRRR'),714);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('07-APR-12','DD-MON-RRRR'),6105);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('25-MAY-12','DD-MON-RRRR'),1592);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('14-MAY-12','DD-MON-RRRR'),1880);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('29-JUL-12','DD-MON-RRRR'),8497);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('13-MAY-12','DD-MON-RRRR'),1658);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('06-APR-12','DD-MON-RRRR'),3071);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('04-SEP-12','DD-MON-RRRR'),8277);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('20-MAR-12','DD-MON-RRRR'),3929);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('04-MAR-12','DD-MON-RRRR'),9239);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('24-APR-12','DD-MON-RRRR'),4390);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('12-MAY-12','DD-MON-RRRR'),8362);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('06-APR-12','DD-MON-RRRR'),4157);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('01-SEP-12','DD-MON-RRRR'),9260);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('31-MAR-12','DD-MON-RRRR'),8017);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('20-MAY-12','DD-MON-RRRR'),2420);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('21-JUL-12','DD-MON-RRRR'),5272);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('23-AUG-12','DD-MON-RRRR'),313);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('24-MAY-12','DD-MON-RRRR'),4747);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('25-APR-12','DD-MON-RRRR'),272);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('02-MAY-12','DD-MON-RRRR'),4329);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('28-JUL-12','DD-MON-RRRR'),3149);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('18-MAR-12','DD-MON-RRRR'),1740);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('07-MAR-12','DD-MON-RRRR'),6868);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('02-JUN-12','DD-MON-RRRR'),5661);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('08-MAY-12','DD-MON-RRRR'),6136);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('23-AUG-12','DD-MON-RRRR'),512);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('16-AUG-12','DD-MON-RRRR'),8784);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('31-AUG-12','DD-MON-RRRR'),7300);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('12-MAY-12','DD-MON-RRRR'),9303);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('29-MAR-12','DD-MON-RRRR'),2626);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('14-JUL-12','DD-MON-RRRR'),6365);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('19-JUN-12','DD-MON-RRRR'),7880);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('20-JUN-12','DD-MON-RRRR'),6096);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('05-AUG-12','DD-MON-RRRR'),1980);
INSERT INTO SALES(custno, tran_dt, amount) VALUES (26, TO_DATE('27-MAY-12','DD-MON-RRRR'),3004);I can now calculate the average sales over the past 6 months (180 day) and 1 month (30 day) periods. I don't need the 6 month average but I do need the individual sales to get the distribution and hence the standard deviations and hopefully the 99th percentile number. I know it's around 3 standard deviations but the spec I'm working with requires using the 99th percentile. Not my choice! :-)
select custno,
         avg(case when tran_dt between sysdate -210 and sysdate -31 then amount else 0 end) sales6mo,
         avg(case when tran_dt >= sysdate -30 then amount else 0 end) sales1mo,
         stddev(amount) sd,
         stddev(amount)*3 sd3
from sales
group by custno;I want to see if there are any customers' (I know I only generated 2) 1 month sales that are more than the 99th percentile of the 6 month distribution.
If it's easier to use a lower percentile I can use the examples to plug in the 99.
Here is the result of the above query:
    CUSTNO   SALES6MO   SALES1MO         SD        SD3
         5 4506.11111 28.1111111 4142.61146 12427.8344
        26 3563.81579 1090.05263 2952.1488 8856.44641So, from this data I would expect my 99th percentile to be close to the SD3 column. Correct?
Thanks very much for the assistance!!
-gary
Edited by: garywicke on Sep 5, 2012 9:54 AM

How to calculate the Processing time for material based on its route ?

Hello experts,
I would like to calculate the Scheduled in-house production time based on route.
Actually this is done in the prod. route in tcode CA02. (via menu Extras => scheduling => schedule).
After getting the schedule table press the 'scheduling results' button I received the Processing time, Setup and teardown time,... Scheduled in-house production time.
So I'm looking for a function or any tool to use it in report.
thanks,
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hi,
from routing screen,extras>scheduling>schedule(give a variant name)>scheduling results>update material master.this writes the info in the temp file.use tcode CA96 to update material master.this updates lot size dependent in house production time in work scheduling view of material master and deletes the lot size independent inhouse prod, time in MRP2 view.this tool gives more accurate results for your inhouse prod. time.
> Hello experts,
> I would like to calculate the Scheduled in-house
> production time based on route.
> Actually this is done in the prod. route in tcode
> CA02. (via menu Extras => scheduling => schedule).
> After getting the schedule table press the
> 'scheduling results' button I received the Processing
> time, Setup and teardown time,... Scheduled in-house
> production time.
> So I'm looking for a function or any tool to use it
> in report.
>
> thanks,
> Eli

How to calculate the time between start trigger,first scan and first A/D in DAQ

Environment: Labview 6.1, N6052E DAQ board(max scan rate=333KHz, max channel rate=333KHz, settling time=3.5usec+1LSB)
I am using external scan clock 10K scan/s collecting data on 16 AI channels, and external channel clock 200KHz.
Could show me how to calculate the time betweent he start trigger, the first scan and the first A/D conversion?
Thanks

I read the one you give to me. still cannot work out. I am using Labview 6.1 DAQ vi, including AI config.vi. clock config.vi, AI control.vi, AI read.vi, working on colect data on 16 AI channels. So I belong to SCAN function and external scan and sampling timing, right?
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T1=1/10KHz or T1=1/160Khz?
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Hello!
I need to calculate the total time!
For example I have start time:
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And I have finish time:
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How can I calculate the total time in java? (Using formatter1 and formatter2 I suppose)
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800512 wrote:
I did the following but, I think something is wrong here:
I defined before: Date date1 = new Date(); Date date2 = new Date();
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I found delta between date1 and date2:
Format formatter = new SimpleDateFormat("HH:mm:ss");
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What can be a problem?Because, like I said, a Date measure an instant in time, not a duration. So when you have 5000 ms, and you turn that into a Date, that means 5 sec. after the epoch, which works out to 1/1/1970 00:00:05.000 GMT.
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Hi,
Please help me how to calculate the Current APC.
The Current APC (Acquisition and Production Cost) is a calculated value based on Previous Year Acquisition balance plus any value changes up to the time of the report.
The Asset History Report (RAGITT_ALV01) calculates the Current APC value &
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I suppose that the calculation of Current APC (Acquisition and Production Cost) is getting done in the GET statements in the report RAGITT_ALV01, but unable to find the actual logic.
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Hi,
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A.

How to calculate the Current APC

Hi,
Please help me how to calculate the Current APC.
The Current APC (Acquisition and Production Cost) is a calculated value based on Previous Year Acquisition balance plus any value changes up to the time of the report.
The Asset History Report (RAGITT_ALV01) calculates the Current APC value &
The Current APC can also be found in the Asset Explorer (transaction code AW01N) under Country Book 10/ Posted Values tab then the line Acquisition Value and column Posted values.
Thanks in advance,
Satish

Hi,
I suppose that the calculation of Current APC (Acquisition and Production Cost) is getting done in the GET statements in the report RAGITT_ALV01, but unable to find the actual logic where it is being done.
Please help me.
Thanks in advance,
Satish

How to calculate the quota base quantity in quota arrangement?

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The 2 vendors has 2 same quota rating, the vendor who is having the highest quota will considered first.
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Hi Richard,
Thanks for the reply. I suggested that existed the more simple way to implement this

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O/P:-
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* Here is my coding,
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is there any FM to calculate this?
Thanks in Advance,
sudha.

Hi Sudha,
In your company , If they are maintaining Time Events then you can get the information of Employee's Presense or Absense from infotype 2011 (Time Events) and Absense from 2001 (Absense)..
Also Consider Factory Calender for it.. and check out working days..
Table TEVEN
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Thanks & Regards
ilesh 24x7
ilesh Nandaniya

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Dear Jim,
Thanks for your reply.
However, the problems still cannot be solved.
My expected output is 1 column listing the YTD value from previous year.
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How to shorten the running time of NXT brick ?
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Software is LabVIEW 2012 for LEGO MINDSTORMS
Thanks.
Solved!
Go to Solution.
Attachments:
TETRIX_Toolkit_running_time.vi ‏20 KB
MATRIX_Toolkit_running_time.vi ‏13 KB

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Message was edited by:
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Hi
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enter interest values
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