How table GLT0 work? (Different value between GLT0 and BSAS)

Anyone know about how the table GLT0 work?
After checked in sapenote sapnote 100273 which said "For an FI posting (for example, with Transaction FB01),
the balances resulting from the posting are updated twice in the G/L Account Monthly
Debits and Credits (table GLT0)."
So, Any change amount value of items in accounting doc. This problem should to update, correct?
For any change of amount value in item of accounting doc and currencies is change.
Need to reupdate this table with new currencies? or any logic
Now, I found a problem is "Account balance" value in currency group (USD) in transaction FS10
and total sum of "USD Amount" in transaction code FBL3 (If click to sum by currency)
are different for 17.79 USD.
I tried to get a logic of this 2 transaction code and found detail as below:
FS10 : Get data from table GLT0 and for group currency report. Program select data
from field KSLVT and KSLXX to display in report.
FBL3 : Get all data until selected period in table BSAS and sum total amount from field BSAS-DMBE2
(Amount of USD Currency)
Actually, This 2 report should to have the same account balance.
So, My question is
1. When the table (GLT0) update?
2. Can have a problem with the data in GLT0 (field KSLVT and KSLXX t)
and sum of amount USD curency BSAS-DMBE2 are differenct?
If can have, how is occur?
Many thank in advance.

Hi,
Did you find any relationship between the data (sql data and Essbase)?
While you are loading fresh data, there is no discrepancy.
You find discrepancy at the time of incremental loading.
It might be possible in incremental loading data can be added to already existing value in dimension.
In that case you will find your Essbase data is 2times or 3 times more than base data (sql).
Then check there might be some setting.
Thanks
Dhanjit G

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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!

Table that gives the relation between plant and company code

Hi gurus,
I actually have plant number and using this plant value i need to get the company code.
Is there any table that gives the relation between plant and company code. So,that i can get the company code details.
Thanks in advance.

Hi Bhanuphani,
Use T001K where BWKEY is the plant
Reward if useful
Thanks Arjun

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Hi Experts,
I have one basic question. Can we maintain the different products between B2B and B2C users. Because we have requirement is B2B users should get all the products, but B2C users should get limited products. Is there way we can setup like this to meet the requirements. Please let me know. Thank you very much in advance.
With Regards,
Sudheer.

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Hi Gurus,
my page having MessageTextInputs. Normally page runs displays the Prompt name and one text box will displayed.
my requirement is
1) how to increase the width size between PROMPT and TEXT BOX?
2)prompt name displays like
elephant
xxxxxant
xxxxRose
here xxxxx indicates SPACE
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so our requirement is in page PROMPT displays like
elephant
ant
rose
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its very urgent
Thanks

Hi,
Create a table layout region and under that use 'messageStyledText' for displaying the prompt and use 'messageTextInput' for text field without giving any prompt to that.
--Sushant

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2. Go to your iPhone, Settings-Wireless-Tap on blue circle next to network name, Choose Forget network
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Message was edited by: Andrew T.

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