Import Data Table from Different DB Schema in BI Administration

Question

Here is my scenario:
Tables are imported from different DB schema in Administration. They are then joined together.
When I select fields from more than one schema in BI Answer, incorrect result is returned.
Below is the SQL it returns:
-------------------- Sending query to database named DW_TESTING (id: <<15875>>):
select D1.c4 as c1,
D1.c5 as c2,
D1.c2 as c3,
D1.c1 as c4,
D1.c3 as c5
from
*(select D1.c1 as c1,*
D1.c2 as c2,
D1.c3 as c3,
D1.c4 as c4,
D1.c5 as c5
from
*(select sum(T34.PRODUCT_SALES) as c1,*
T52.DESCRIPTION as c2,
T52.BE_TYPE as c3,
T137.YEAR as c4,
T137.QUARTER as c5,
ROW_NUMBER() OVER (PARTITION BY T52.BE_TYPE, T137.QUARTER ORDER BY T52.BE_TYPE ASC, T137.QUARTER ASC) as c6
from
BEADMIN.BE_MASTER T52,
DWADMIN.DATE_MASTER T137,
BEADMIN.BE_DAILY_SALES T34
where  ( T34.BE_TYPE = T52.BE_TYPE and T34.SALES_DATE = T137.CALENDAR_DATE )
group by T52.BE_TYPE, T52.DESCRIPTION, T137.YEAR, T137.QUARTER
*) D1*
where  ( D1.c6 = 1 )
*) D1*
order by c2
+++Administrator:7e0000:7e001f:----2009/06/08 17:22:09
-------------------- Sending query to database named DW_TESTING (id: <<15938>>):
select D2.c2 as c1,
D2.c3 as c2,
D2.c1 as c3
from
*(select D1.c1 as c1,*
D1.c2 as c2,
D1.c3 as c3
from
*(select sum(T109.PRODUCT_SALES) as c1,*
T137.YEAR as c2,
T137.QUARTER as c3,
ROW_NUMBER() OVER (PARTITION BY T137.QUARTER ORDER BY T137.QUARTER ASC) as c4
from
DWADMIN.DATE_MASTER T137,
DWADMIN.DAILY_SALES T109
where  ( T109.SALES_DATE = T137.CALENDAR_DATE )
group by T137.YEAR, T137.QUARTER
*) D1*
where  ( D1.c4 = 1 )
*) D2*
order by c2
It seems that query has been seperated into two, and doesn't have relationship between each others.
However, I also tested the same situation in other environment, and it returns correct result. I found that the query hasn't been seperated into two, but one. The query is as below:
-------------------- Sending query to database named BI (id: <<2392>>):
WITH
SAWITH0 AS (select D1.c1 as c1,
D1.c2 as c2,
D1.c3 as c3,
D1.c4 as c4
from
*(select sum(T29.PRODUCT_SALES) as c1,*
T96.DESCRIPTION as c2,
T120.YEAR as c3,
T120.QUARTER as c4,
ROW_NUMBER() OVER (PARTITION BY T96.DESCRIPTION, T120.QUARTER ORDER BY T96.DESCRIPTION ASC, T120.QUARTER ASC) as c5
from
SIMULATION.BE_MASTER T96,
SIMULATION.DATE_MASTER T120,
BIEE.BE_DAILY_SALES T29
where  ( T29.BE_TYPE = T96.BE_TYPE and T29.SALES_DATE = T120.CALENDAR_DATE )
group by T96.DESCRIPTION, T120.YEAR, T120.QUARTER
*) D1*
where  ( D1.c5 = 1 ) ),
SAWITH1 AS (select D1.c1 as c1,
D1.c2 as c2,
D1.c3 as c3
from
*(select sum(T102.PRODUCT_SALES) as c1,*
T120.YEAR as c2,
T120.QUARTER as c3,
ROW_NUMBER() OVER (PARTITION BY T120.QUARTER ORDER BY T120.QUARTER ASC) as c4
from
SIMULATION.DATE_MASTER T120,
SIMULATION.DAILY_SALES T102
where  ( T102.SALES_DATE = T120.CALENDAR_DATE )
group by T120.YEAR, T120.QUARTER
*) D1*
where  ( D1.c4 = 1 ) )
select distinct case  when SAWITH0.c3 is not null then SAWITH0.c3 when SAWITH1.c2 is not null then SAWITH1.c2 end  as c1,
case  when SAWITH0.c4 is not null then SAWITH0.c4 when SAWITH1.c3 is not null then SAWITH1.c3 end  as c2,
SAWITH0.c2 as c3,
SAWITH1.c1 as c4,
SAWITH0.c1 as c5
from
SAWITH0 full outer join SAWITH1 On nvl(SAWITH0.c4 , 8) = nvl(SAWITH1.c3 , 8) and nvl(SAWITH0.c4 , 9) = nvl(SAWITH1.c3 , 9)
order by c1, c2, c3
This query returns correct result and seems reasonable.
Assume that the setup in BI Administration is the same for both environment, why the first situation returns query that are separated?

Answer 1

I have made the same remark but not with two different environment and same design.
What can influence the construction of two queries ?
Here some ideas :
- if you have of course two connections pools (I assume not)
- if in our database features (double click on the icon and choose the tab feature), full outer join is not supported
But I have this two requirement on my laptop and I can see that I have also two sql fired.
What you can do is to make a comparison of your two repository.
In the administration tool, File/Compare.
The result will be very interesting.