Difference in value Between BW and R/3

Hi,
We are in the process of validating reports .We have observed difference in value for credit and debit amount fields in BW and for the same data is coming from standard data source 0EN_JVA_2 (Joint venture: Actual line item using delta extraction) we have done full data load. In the data source the data coming from a single field and that is spited based on debit/credit indicator in R/3.
I need your valuable input on where the problem is for the difference of value between BW and R/3.
Regards
Deva

Hi,
Is there any filterations in the IP?
Any data packet deletion activity in the start rountine?
Any update rule for the key figure is having routine with modifiying the value?
Kindly check.
In case if you are seeing number of records, always aggregation happens.
If the difference is in terms of quantity of the key figure values, kindly check the above three.
Kindly come to us so that we can suggest
Hope this helps
Janardhan Kumar

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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
                   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, 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 you

This 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
select to_date('10.09.2012 13:21:26', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 14:21:27', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 15:21:30', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 16:21:32', 'dd.mm.yyyy hh24:mi:ss') ts, 146 val from dual union all
select to_date('10.09.2012 21:21:33', 'dd.mm.yyyy hh24:mi:ss') ts, 146 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 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
Brasil

Here 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

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

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&regards

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

Differences xml-db between R10g2 and R11_2 ?

HI,
there are differences in xml-db between R10g2 and R11_2 ?
where I can find about it
regards
Edited by: astramare on Feb 17, 2011 3:04 PM

ok:
we have changed our DB from R10.2 to R11_2
by using DataPump
we do create a lot of different schema-based xml-Data
by using DBMS_XMLGEN
from a sql/xml-function based View
like
xmldoc := DBMS_XMLGEN.getXML(ctx);
xmldoc_xmlType:=(xmltype(xmldoc)) ;
xmldoc_xmlType.isSchemaValid
dbms_xslprocessor.clob2file
all other xml_schema do work fine after migration
with this one following exception
while validate the output inside a package
we get an error
LSX-00285: Referenzierter Schlüssel "405986.0" ist nicht definiert
to look at differences
I have identical created
one XML-output in the ( old ) 10gR2 -DB
and
one XML-output in the ( new ) 11R2 - DB
both I can ok validate against the same schema inside XML-Spy ( Vers 2006 )
but
the R10_2 XMLType does ok validate in DB 10gR2
the R11_2 XMLType does not validate in R11 !
by view the xml-data-files in XMLSpy or another editor
there obvious a difference:
In the SQL/XML-select I work with .extract
the xml-output from R10 is correct in a xml-like structure
the xml-output from R11 is not
both data-file have the identical ascii-words
but different size in kByte
the call to register the schema in R10_2 and R11_2 is identical:
dbms_xmlschema.registerSchema(
schemaurl => vschemaurl,
schemadoc => xsd_file,
local => FALSE,
gentypes => TRUE,
genbean => FALSE,
gentables => TRUE,
force => FALSE,
owner => dbuser
,CSID => nls_charset_id('AL32UTF8')
the xml-schemas looks :
R10
<xs:schema targetNamespace="http://www.abcde.de/nsdir"
elementFormDefault="qualified"
attributeFormDefault="unqualified"
xdb:flags="311"
xdb:schemaURL="http://www.abcde.de/nsdis/SCHEMABEZ.XSD"
xdb:schemaOwner="USER"
xdb:numProps="36">
R11:
<xs:schema targetNamespace="http://www.abcde.de/nsdir"
elementFormDefault="qualified"
attributeFormDefault="unqualified"
-- new ?!
xdb:storeVarrayAsTable="true"
-- flag ?!
xdb:flags="8503"
xdb:schemaURL="http://www.abcde.de/nsdis/SCHEMABEZ.XSD"
xdb:schemaOwner="USER"
xdb:numProps="36">
may be its a problem inside the data in the Views ?
or a difference between R10 and r11 ?
regards

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 Quaranta

Have 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/

Difference in speed between i5 and Core 2 Duo (same GHz)?

My two-year old MacBook Pro has a 2.4GHz Core 2 Duo processor and 4GB RAM.
The cheapest MacBook Pro introduced today has a 2.4GHz i5 processor with 4GB RAM.
Anyone have any idea what the speed difference might be between these two? Approximately?
And does software have to be re-written to take advantage of the i5? In other words: What do I stand to gain if upgrading today?

Read this page and it should answer your questions.
http://www.apple.com/macbookpro/performance.html
Check out the new remodeled MacOSG website! 24-hour Apple-related news & support.
 MacOSG: An Apple User Group  iTunes: MacOSG Podcast  Follow us on Twitter: MacOSG

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