Report creation from two schemas

Hi All,
1. suppose I have 2 databases.
2. one is sample1 and another is sample2
3. now u need to build one report from these two schemas.
4. means u need to take the samp_key from samp_tab from sample1 schema
and also u need to take some measure which is there in sample2 also.
how u will create the report from the two schemas? Is there possibility in the report level or do we have any chances in rpd level?
Can anybody help on this?
Thanks in Adv.

You have 2 options:
1) RPD level: bring those 2 tables to BMM layer into one Business model and then put them in the same catalog in presentation layer.
2) Answers level: Use combine with similar request and create the report.

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Is there a way to automate the report creation based on a specification based on a XML file ?
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Thanks,
I will have a look to the RAS SDK.
If the API are available it will be sufficient to start building the solution.
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Comparing same tables from two schemas

I had already posted a similair thread on this . So, i thought i would start a new thread on this to avoid confusion
I want to generate a report which will show the difference in data type of columns from same tables in two different schemas.
The below query using MINUS shows the difference.
create table SCOTT.mytab1 (empid number);
create table HR.mytab1 (empid varchar2(34));
SELECT   table_name, column_name, OWNER schema, data_type
FROM     dba_tab_cols where owner = 'SCOTT'
AND TABLE_NAME = 'MYTAB1'
MINUS
SELECT   table_name, column_name, OWNER schema, data_type
FROM     dba_tab_cols where owner = 'HR'
AND TABLE_NAME = 'MYTAB1'
Result:
TABLE_NAME      COLUMN_NAME     SCHEMA     DATA_TYPE
MYTAB1          EMPID           SCOTT      NUMBERBut , since it is a report, i want to show results form both schemas who has column of different data types with same table names
Expected output:
TABLE_NAME      COLUMN_NAME     SCHEMA     DATA_TYPE
MYTAB1          EMPID           SCOTT      NUMBER
MYTAB1          EMPID           HR         VARCHAR2Anyway i could achieve this?

Hello,
I can explain the analytical part, it is not so hard to understand (at least in this case).
I've created the tables with 2 columns : EMPID has different datatype, but NAME has the same datatype :
create table SCOTT.mytab1 (empid number, name varchar2(50));
create table HR.mytab1 (empid varchar2(34), name varchar2(50));Then I run only the subquery with the analytical part :
    SELECT   OWNER schema,table_name, column_name , data_type,
    count(*) over (partition by table_name, column_name, data_type) c
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    where owner in ( 'SCOTT','HR')
    AND TABLE_NAME = 'MYTAB1' ;
SCHEMA     TABLE_NAME COLUMN_NAME DATA_TYPE           C
SCOTT      MYTAB1     EMPID       NUMBER              1
HR         MYTAB1     EMPID       VARCHAR2            1
SCOTT      MYTAB1     NAME        VARCHAR2            2
HR         MYTAB1     NAME        VARCHAR2            2This query returns all columns for MYTAB1 in the 2 schemas. The analytical function count how many rows you have for each existing group of TABLE_NAME, COLUMN_NAME, DATA_TYPE, just like a normal count(*) with a GROUP BY, but it does not change the number of rows of the result (unlike the GROUP BY function).
As you can see in the result above, when you have columns with different datatype, the group appears once, so C=1. When the datatype is the same, the group appears twice, so C=2.
So I have put a filter on C=1 :
SELECT * FROM (
    SELECT   table_name, column_name, OWNER schema, data_type,
    count(*) over (partition by table_name, column_name, data_type) c
    FROM     dba_tab_cols
    where owner in ( 'SCOTT','HR')
    AND TABLE_NAME = 'MYTAB1'
) WHERE c=1;
TABLE_NAME COLUMN_NAME SCHEMA     DATA_TYPE           C
MYTAB1     EMPID       SCOTT      NUMBER              1
MYTAB1     EMPID       HR         VARCHAR2            1You can do many things with analytical functions, but for beginning with them, you can use them when you need something with a GROUP BY, but you want to keep all rows in the result. You just have to put in the PARTITION BY clause the columns you would have used in the GROUP BY clause.
I hope I am clear, but if not, do not hesitate to ask for more information.
Regards,
Sylvie

Same query at same time, but different execution plans from two schemas

Hi!
We just had some performance problems in our production system and I would like to ask for some advice from you.
We had a select-query that was run from USER1 on SCHEMA1, and it ran a table scan on a huge table.
Using session browser in TOAD I copied the Sql-statement, logged on SCHEMA1 and ran the same query. I got a different execution plan where I avoided the table scan.
So my question is:
How is it possible that the same query get different execution plans when running in two different schemas at the same time.
Some more information:
The user USER1 runs "alter session set current_schema=SCHEMA1;" when it logs on. Besides that it doesn't do anything so session parameter values are the same for USER1 and SCHEMA1.
SCHEMA1 is the schema owning the tables.
ALL_ROWS is used for both USER1 and SCHEMA1
Our database:
Oracle9i Enterprise Edition Release 9.2.0.8.0 - 64bit Production
PL/SQL Release 9.2.0.8.0 - Production
CORE 9.2.0.8.0 Production
TNS for Linux: Version 9.2.0.8.0 - Production
NLSRTL Version 9.2.0.8.0 - Production
Anybody has some suggestions to why I experience different execution plan for the same query, run at the same time, but from different users?

Thanks for clarification of the schema structure.
What happens if instead of setting the current session schema to SCHEMA1, if you simply add the schema name to alle tables, views and other objects inside your select statement?
As in select * from schema1.dual;I know that this is not what you want eventually, but it might help to find any misleading objects.
Furthermore it is not clear what you meant with: "avoided a table scan".
Did you avoid a full table scan (FTS) or was the table completely removed from the execution plan?
Can you post both plans?
Edited by: Sven W. on Mar 30, 2010 5:27 PM

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