Why different Overall requirements value between labor and pool capacity
Hi all,
I create a PM Order with using a PP work center and this PP work has 3 Capacity category: machine, labor, pool.
after I check the PM Order with CM35
and i find out, that Overall requirements value are different between labor and pool capacity. Is this normal?
In my opinion,labor and pool should have same amount requirements of capacities.
thanks®ards
Hello,
Please refer the Link [http://help.sap.com/saphelp_47x200/helpdata/en/b1/c03662439a11d189410000e829fbbd/frameset.htm]
Regards,
Rakesh
Edited by: RAKESH ASHOK MANE on Aug 17, 2010 9:42 AM
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Hello Forum,
a value is accumulated over a day and over a period of time. Next day the value is reseted and starts again to be accumulated:
with sampledata as (select to_date('09.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union all
select to_date('09.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 29 val from dual union all
select to_date('09.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 30 val from dual union all
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select to_date('09.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 75 val from dual union all
select to_date('09.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 95 val from dual union all
select to_date('09.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 14 val from dual union all
select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 34 val from dual union all
select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 58 val from dual union all
select to_date('10.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 70 val from dual union all
select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual)
select ts, val
from sampledata
order by ts asc;How should I change the select statement to skip all data sets before the first minimum and the duplicates after the maximum of a day in order to get such a result:
TS VAL
09.09.12 06:12 23
09.09.12 07:12 29
09.09.12 08:12 30
09.09.12 09:12 45
09.09.12 10:12 60
09.09.12 11:12 75
09.09.12 12:21 95
09.09.12 13:21 120
09.09.12 14:21 142
10.09.12 06:12 14
10.09.12 07:12 34
10.09.12 08:12 58
10.09.12 09:12 70
10.09.12 10:12 120
10.09.12 11:12 142
10.09.12 12:21 153Thank youThis solution works perfectly when the accumulated value has its low and its high on the same day. But I found out :( , that there is also data, which has its low yesterday and its high today. For a better understandig of the case, there is a machine, wich is working over 3 Shifts with irregular start and end time. For example Shift1 cann start at 5:50 or at 7:15. The accumulated value of the worked time is accumuated for each shift extra. This solution works for the shift 1 (approximate between 06:00-14:00) and for the shift 2(approximate between 14:00-22:00), because there is the low and the high of the accumulated value on the same day. This solution does not work for the shif 3(approximate between 22:00-06:00), because the high of the accumulated value is or can be the next day.
So the thread title should be: "Select just the values between min and max of an accumulated value over the same day(today) or over two successive days (yesterday and today)
Sampledata for shift 1 or shift 2:
{code}
with sampledata as (select to_date('09.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union all
select to_date('09.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 29 val from dual union all
select to_date('09.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 30 val from dual union all
select to_date('09.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 45 val from dual union all
select to_date('09.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 60 val from dual union all
select to_date('09.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 75 val from dual union all
select to_date('09.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 95 val from dual union all
select to_date('09.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 120 val from dual union all
select to_date('09.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 143 val from dual union all
select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 144 val from dual union all
select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 145 val from dual union all
select to_date('10.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 147 val from dual union all
select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 148 val from dual union all
select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual union all
select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 153 val from dual)
, got_analytics AS
SELECT ts, val
, MIN (val) OVER ( PARTITION BY TRUNC (ts)
ORDER BY ts DESC
) AS min_val_after
, CASE
WHEN ROW_NUMBER () OVER ( PARTITION BY TRUNC (ts)
ORDER BY val
, ts
) = 1
THEN -1 -- Impossibly low val
ELSE LAG (val) OVER ( PARTITION BY TRUNC (ts)
ORDER BY ts
END AS prev_val
, MIN (val) OVER (PARTITION BY TRUNC (ts))
AS low_val_today
, NVL ( LAST_VALUE (val) OVER ( ORDER BY ts
RANGE BETWEEN UNBOUNDED PRECEDING
AND ts - TRUNC (ts) PRECEDING
, -1
) AS last_val_yesterday
FROM sampledata
SELECT ts
, val
FROM got_analytics
WHERE val <= min_val_after
AND val > prev_val
AND ( val > low_val_today
OR val != last_val_yesterday
ORDER BY ts
{code}
with the expected results:
{code}
1 09.09.2012 06:12:02 23
2 09.09.2012 07:12:03 29
3 09.09.2012 08:12:04 30
4 09.09.2012 09:12:11 45
5 09.09.2012 10:12:12 60
6 09.09.2012 11:12:13 75
7 09.09.2012 12:21:24 95
8 09.09.2012 13:21:26 120
9 09.09.2012 14:21:27 142
10 10.09.2012 06:12:02 143
11 10.09.2012 07:12:03 144
12 10.09.2012 08:12:04 145
13 10.09.2012 09:12:11 146
14 10.09.2012 10:12:12 147
15 10.09.2012 11:12:13 148
16 10.09.2012 12:21:24 153
{code}
And the sampledata for shift 3 is:
{code}
with sampledata as (select to_date('08.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union ALL
select to_date('08.09.2012 02:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 45 val from dual union all
select to_date('08.09.2012 05:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 78 val from dual union all
select to_date('08.09.2012 06:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 08:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 10:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 12:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 16:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 17:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 19:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 21:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 90 val from dual union all
select to_date('08.09.2012 22:00:12', 'dd.mm.yyyy hh24:mi:ss') ts, 24 val from dual union all
select to_date('08.09.2012 22:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 40 val from dual union all
select to_date('08.09.2012 23:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 68 val from dual union all
select to_date('09.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 79 val from dual union all
select to_date('09.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 124 val from dual union all
select to_date('09.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 125 val from dual union all
select to_date('09.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 126 val from dual union all
select to_date('09.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 17:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union all
select to_date('09.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 127 val from dual union ALL
select to_date('09.09.2012 22:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 5 val from dual union ALL
select to_date('09.09.2012 22:51:33', 'dd.mm.yyyy hh24:mi:ss') ts, 23 val from dual union all
select to_date('09.09.2012 23:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 40 val from dual union all
select to_date('10.09.2012 00:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 50 val from dual union all
select to_date('10.09.2012 01:03:08', 'dd.mm.yyyy hh24:mi:ss') ts, 60 val from dual union all
select to_date('10.09.2012 02:54:11', 'dd.mm.yyyy hh24:mi:ss') ts, 78 val from dual union all
select to_date('10.09.2012 03:04:08', 'dd.mm.yyyy hh24:mi:ss') ts, 142 val from dual union all
select to_date('10.09.2012 04:04:19', 'dd.mm.yyyy hh24:mi:ss') ts, 145 val from dual union all
select to_date('10.09.2012 05:04:20', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 06:12:02', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 07:12:03', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 08:12:04', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 09:12:11', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 10:12:12', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 11:12:13', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 12:21:24', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
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select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
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, got_analytics AS
SELECT ts, val
, MIN (val) OVER ( PARTITION BY TRUNC (ts)
ORDER BY ts DESC
) AS min_val_after
, CASE
WHEN ROW_NUMBER () OVER ( PARTITION BY TRUNC (ts)
ORDER BY val
, ts
) = 1
THEN -1 -- Impossibly low val
ELSE LAG (val) OVER ( PARTITION BY TRUNC (ts)
ORDER BY ts
END AS prev_val
, MIN (val) OVER (PARTITION BY TRUNC (ts))
AS low_val_today
, NVL ( LAST_VALUE (val) OVER ( ORDER BY ts
RANGE BETWEEN UNBOUNDED PRECEDING
AND ts - TRUNC (ts) PRECEDING
, -1
) AS last_val_yesterday
FROM sampledata
SELECT ts
, val
FROM got_analytics
WHERE val <= min_val_after
AND val > prev_val
AND ( val > low_val_today
OR val != last_val_yesterday
ORDER BY ts
{code}
with the unexpected results:
{code}
- ts val
1 08.09.2012 00:04:08 23
2 08.09.2012 22:12:13 40
3 08.09.2012 23:21:24 68
4 09.09.2012 22:21:33 5
5 09.09.2012 22:51:33 23
6 09.09.2012 23:21:33 40
7 10.09.2012 00:04:08 50
8 10.09.2012 01:03:08 60
9 10.09.2012 02:54:11 78
10 10.09.2012 03:04:08 142
11 10.09.2012 04:04:19 145
12 10.09.2012 05:04:20 146
{code}
The result should be:
{code}
- ts val
1 08.09.2012 00:04:08 23
2 08.09.2012 02:04:08 45
3 08.09.2012 05:03:08 78
4 08.09.2012 06:54:11 90
5 08.09.2012 22:00:12 24
6 08.09.2012 22:12:13 40
7 08.09.2012 23:21:24 68
8 09.09.2012 01:03:08 79
9 09.09.2012 02:54:11 124
10 09.09.2012 03:04:08 125
11 09.09.2012 04:04:19 126
12 09.09.2012 05:04:20 127
13 09.09.2012 22:21:33 5
14 09.09.2012 22:51:33 23
15 09.09.2012 23:21:33 40
16 10.09.2012 00:04:08 50
17 10.09.2012 01:03:08 60
18 10.09.2012 02:54:11 78
19 10.09.2012 03:04:08 142
20 10.09.2012 04:04:19 145
21 10.09.2012 05:04:20 146
{code}
Thank you for your help! -
GET function fails to get values between 1 and 0
Hi i have the folowing code
GET(CONTAVENDAS="PERCVOLUMECORP",FONTEDADO="INPUT",TEMPO="2011.INP",PRODUTO="%SPECIE%_IN",CANAL="NACANAL",ORGCOMERCIAL="NAORGCOM")
When the value in the PERCVOLUMECORP account, is greater or equal to 1 let's say 80, the get function returns me the correct value, but when i have a value between 0 and one, for instance 0,25, the get function returns 0 (zero)
Any ideas?
Thanks in advance.
Leandro
BrasilHere is the entire script
**SELECT(%ANO_BD_TRAB%,[YEAR],CATEGORIA,"ID='BDTRABALHO'")
**SELECT(%ANO_BD_TRAB1%,[YEAR]+1,CATEGORIA,"ID='BDTRABALHO'")
**SELECT(%ANO_BD_TRAB2%,[YEAR]+2,CATEGORIA,"ID='BDTRABALHO'")
**SELECT(%MES_INCIO%, STARTMTH, CATEGORIA, "ID='BDTRABALHO'")
**SELECT(%MESES%,[ID],TEMPO,"MONTHNUM>=%MES_INCIO% AND YEAR=%ANO_BD_TRAB% AND LEVEL='MONTH'")
**SELECT(%MESES1%,[ID],TEMPO,"MONTHNUM>=%MES_INCIO% AND YEAR=%ANO_BD_TRAB1% AND LEVEL='MONTH'")
**SELECT(%MESES2%,[ID],TEMPO,"MONTHNUM>=%MES_INCIO% AND YEAR=%ANO_BD_TRAB2% AND LEVEL='MONTH'")
**SELECT(%CONTAS%, [ID], CONTAVENDAS, "TOPDOWNALLOC='Y'")
*SELECT(%TODOSPROD%, [ID],PRODUTO,"GRUPO='PRODUTO'")
**SELECT(%SPECIES%, [ID],PRODUTO,"GRUPO='TIPOESPECIE' AND FLAG_TOPDA='N'")
**SELECT(%SPECIES_IN%, [ID],PRODUTO,"GRUPO='TIPOESPECIE' AND FLAG_TOPDA='Y'")
*XDIM_MEMBERSET TEMPO = %MESES%,%MESES1%,%MESES2%,%ANO_BD_TRAB%.INP,%ANO_BD_TRAB1%.INP,%ANO_BD_TRAB2%.INP
*XDIM_MEMBERSET CONTAVENDAS = %CONTAS%,PERCVOLUMECORP
*XDIM_MEMBERSET PRODUTO = %SPECIES%,%SPECIES_IN%,%TODOSPROD%
*OLAPLOOKUP VENDAS
*DIM FONTEDADO="INPUT"
*DIM TEMPO="2011.INP"
*DIM PRODUTO="C_IN"
*DIM CANAL="NACANAL"
*DIM ORGCOMERCIAL="NAORGCOM"
*DIM PERCVOL:CONTAVENDAS="PERCVOLUMECORP"
*ENDLOOKUP
*FOR %CONTA% = VOLUME
*FOR %MES% = 2011.JAN
*FOR %SPECIE% = C AND %SPECIENAME% = CERVEJAS
*WHEN PRODUTO.SPECIETYPE
*IS "%SPECIENAME%"
*WHEN CONTAVENDAS
*IS "%CONTA%"
*WHEN TEMPO
*IS "%MES%"
*REC(CONTAVENDAS="%CONTA%",EXPRESSION=LOOKUP(PERCVOL))
*ENDWHEN
*ENDWHEN
*ENDWHEN
*NEXT
*NEXT
*NEXT
*COMMIT
Thanks is advance. -
Passing values between jsp and php
hi there, is it possible to pass values between jsp and
php? i really need to find out the way if there is
any. thanks in advance
-azali-Yes, there are a few ways to do this.
1) Think about using Cookies.
2) Maybe use a Redirect passing the values in the Query string.
3) Retain the data in a repository in the back end.
4) Using Hidden fields within your pages.
I am sure you can use these Idea's for a base to develop other methods on how to pass values back and forth from JSP -> PHP and vice versa.
-Richard Burton -
HT5887 Why doesn't AirDrop work between iOS and OSX?
Apple has almost always never fail to seamlessly integrate its devices, until now? I understand that there is iCloud for content sharing between devices. However, AirDrop was introduced as a simpler way for users to not only share contents between their own devices but as well as other users. I understand that the logic behind AirDrop was practiced by windows users since the creation of modem, though it requires many complex steps and compatibility checks to achieve a simple logic. (and Windows never really bothered with perfecting it over all these years, its improved, still buggy)
My question is, why can't we share contents between iOS and OSX? Everytime I need to transfer some files/content, the quickest way I could think of is to send an email to myself. Just the other day I tried to have my colleague AirDrop a file from his 5S to my MBP. I told him with great confidence that this tech existed long ago, and finally Apple decide to kick some DOS *** and launch a super simple version. And that it should by right work with any device with BT and/or WiFi, but knowing Apple, it would only be for their own products. Not in my wildest dreams it didn't work cross OS.
Forget the embarassment, I want to be pampered by this seamless technology. I want the type of exclusiveness with my fellow family and friends of which majority are Apple lovers. I want to regain the confidence that whenever I step out of my room, whichever device I carry/left out, I can do/resume/engage everything as long as I carry an Apple device.
Music, Videos, E-mails, Docs, Images, iMessages, are all checked. So why not Content Sharing?We would like to know the answer as much as you would. All you can to direct your questions to the only people who can really answer: http://www.apple.com/feedback/
-
How to map values between Contract and Purchase Order...
Hi friends,
We are using SRM 5.0 (ECS). I am facing a problem with Purchase Order.
. I am creating Contract locally through Live Auction. After that I am creating Purchase Order through Live Auction. So in Purchase Order Quantity, Net Price, Gross Price, and Long Text etc. not coming which is defined in Contract. PO capturing the values from Live Auction, means no relation between the Contract and Purchase Order. After making Contract again I have to changes in the Purchase Order.
So how to map the values from Contract to PO in SRM? I want to map between contract and Purchase Order like R/3. At the time of creation of PO ( in R/3 ) we can adopt the Contract so all the relevant values comes from Contract to PO. In SRM how will I do?
Please suggest me.When you create PO and a contract from a Live Auciton, they will not be mapped.
While creating a PO (BBP_POC - Process Purchase Order); in the PO line item assign the contract and item reference. Only then they will be linked.
Hope this helps.
Regards
Kathirvel -
Different display aspect ratios between Mac and PC
I am working with some NTSC DV .mov files (720x480). When I view them in OS X Lion (Quicktime 10.1), the Quicktime Movie Inspector shows the video correclty at 4:3 Aspect Ratio with the correct dimensions of 640x480 (using square pixels).
However, when I open the same video in Windows 7 using Quicktime 7.7.2, It shows the video as 720x480 (I guess it is interpreting the pixesls as square instead of 0.9091). Also, on the pc, there are black bars on the left and right margins. These don't appear on the mac.
Any ideas about why these are being interpreted differently by Quicktime on OS X and Windows?
Thanks.I assure you that I can open the same file from an external drive with my Windows PC or my Mac and get the above results. I have over 500 of these videos, and they all behave the same way.
And I assure you that the files are not the same if the file display internals were chagned by your copy work flow.
I did discover in QT 7 that if I go to the "Presentation" tab in the "Show Movie Properties", that I can set the "Conform aperture to:" to "Clean" and it sets the movie to 640x480 and removes the black bars.
Underscan issues are separate from aspect ratio issues. They can be eliminated by masking or cropping along with the re-scaling—the latter of which I've have been pointing out would correct your 720x480 (3:2 aspect ratio) to 640x480 (4:3 aspect ratio) which was the original title subject of your topic.
I believe this is the difference.
http://support.apple.com/kb/HT4265
All NTSC SD DV content is encoded 720x480 matrix content whether the aspect ratio is 4:3 or 16:9. To properly trim and scale the content as described by this article, the file must contain a valid setting flagging whether the original content was recoded with a 16:9 or 4:3 aspect ratio. This has yet to be proven to be the case of your copied file which the media info window states is now playing as a simple non-anamorphic 720x480 whereas your current example reads as a simple non-anamorphic 640x480 file. In most cases this does not matter if the source content was 4:3 aspect. However, any file with a "lost" flag setting will be treated as 4:3 aspect file whether the original content was recorded as 4:3 or 16:9 so there is a potential for problems here. -
Synchronize substitution variables values between Essbase and Planning
Hello,
In EPM version 11.1.2.1 (but we noticed the problem also in previous EPM versions) when we set the value of a substitution variable in Essbase, the value is is not immediately updated in Planning: for some time we see the old value. The value in Planning remains unchanged even in we log off or exit Planning and log on again.
Instead if we restart the Planning service, the value is immediately updated
Since we would like to use the Essbase substitution variables to manage some selections in Planning Data Entru Forms, is there any way to force a synchronization, or to increase the frequence of synchronizations between Essbase and Planning?
Regards
Francesco QuarantaHave a look at setting the planning property SUBST_VAR_CACHE_LIFETIME
http://docs.oracle.com/cd/E17236_01/epm.1112/hp_admin/properts.html
Cheers
John
http://john-goodwin.blogspot.com/ -
Why does Apple require ISBNs when Amazon and B&N don't?
I'm sure this has been discussed, perhaps someone could point me to an answer.
Why does Apple require an ISBN when Amazon and B&N's digital stores don't. In many ways this eliminated many individuals or small presses from selling their books on iTunes. Does Apple specifically not want those not alligned with pre-digital publishing to be able to sell books on iTunes? Perhaps there is something I'm missing here.Fabini, by the fact that I've uploaded and sold dozens of eBooks on Amazon and B&N without ISBN numbers. They both don't require them for eBooks.
As per Amazon: “An ISBN (International Standard Book Number) is not required to publish content with Kindle Direct Publishing. Once your content is published on the KDP web site, Amazon.com will assign it a 10-digit ASIN (Amazon Standard Identification Number), which is unique to the eBook, and is an identification number for the Kindle Book on Amazon.com. If you already have an ISBN for your eBook, you’ll be able to enter it during the publishing process. Do *not* use an ISBN for the print book edition.”
As per barnesandnoble.com's PubIt!: “You do NOT need an ISBN to sell your eBook through PubIt!. If you don’t have an ISBN, just tell us that you don’t have one by answering No when prompted. In that case, Barnes & Noble will assign an internal 13-digit identifier to your title for you when you submit the title to go on sale.”
Apple is the only of the "big three" eBook distributers that requires an ISBN and that is a bad call and reduces that "democratic" power of eBook publishing. I hope they change the policy soon. Anyone know who the best person to email about this issue would be?
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