Dimension and Fact table have the same grain

Hi All,
How can we join a dimension and a fact table if they have the same grain ? In my case it is a contract number.
Thanks

Your Impression is right, In terms of Dimensional Modeling. You have to consider this when you are designing your warehouse tables.
But now if you already have these tables in database, OBIEE does not care how many rows a table have, it just need to know what is fact and what is Dimension and it will generate sql queries based on join conditions.

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OCI doc says Cursor and Nested table have the same bind type SQLT_RSET but they don't

5 Binding and Defining in OCI
PL/SQL REF CURSORs and Nested Tables in OCI
says SQLT_RSET is passed for the dty parameter.
If I use SQLT_RSET for the return value of a function that returns a table and pass a statement handle's address for the OCI parameter data pointer, I expected that the statement handle will be instantiated as a result of executing the function on which I can further perform fetch, similar to a cursor. But it throws exception PLS-00382: expression is of wrong type ORA-06550: line 2, column 3. Is the above documentation wrong?
From the OCI header file I see that for varray and nested table it mentions to use SQLT_NCO. I could find no example in the OCI documentation on how to pass or receive as return value a nested value when using SQLT_NCO.
Please help before I shoot myself.

So the Nested table I quoted in the doc is not actually used to mean a table type below?
create type t_resultsetdata as object (
i int, d decimal, c varchar(10)
create type t_nested_resultsetdata as table of t_resultsetdata;
create function Blah return t_nested_resultsetdata is . . .
For this you are saying to use SQL_NTY and not SQL_NCO. Can you tell where this usage is documented, because ocidfn.h says
#define SQLT_NTY 108
/* named object type */
#define SQLT_NCO 122
/* named collection type (varray or nested table) */
Another question - Because of the original document I said I followed, I thought I could treat cursor and nested table similarly in the calling application, i.e. I could repeatedly do a fetch on the OCIStmt* which will be bound for nested table. Now from what you say I understand I can't really bind a OCIStmt* for nested table but have an object type. That means it will get all the data of that collection in one go, right? LIke I said, lack of examples is making this tough. I don't want to look into OCI source code, as that will be too much.

Add Audit Columns to the Dimension and Fact tables (Created & modified date Time)

Hi All,
I am new to SSIS , I have to Add Audit Columns to the Dimension and Fact tables (Created & modified date Time) of the package.
Please let me know the best and easy way through which I can implement the same.
If possible suggest some real time example or link where I can find the same
Regards,
Vipin jha
Thankx & regards, Vipin jha MCP

You can simply use ALTER TABLE ADD.. syntax to add the columns if the tables already exist.
You can generate a single script for all tables using INFORMATION_SCHEMA.TABLES view
You can make then of NOT NULL type and set the default value to GETDATE()
In addition you can also have a Audit Trail trigger for UPDATE to make sure Modified date gets updated correctly on each update if not passed explicitly.
Please Mark This As Answer if it solved your issue
Please Mark This As Helpful if it helps to solve your issue
Visakh
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How to join Dimensions and Fact Tables in OBIEE

Hi All,
I need to create report which need to get the information from two fact tables and 7 dimensions. The granularity is not same in both the fact tables. One fact table is having common keys between all the dimension tables and second fact table have only two dimension keys but with different names. My requirement is to create the report by taking the measures from both the fact tables.
I have created joins between the second fact table and two dimension tables in physical and BMM layer and also set the highest level for all other dimension tables in the LTS of second fact table. when am creating report by taking the measures from both the fact tables, data is not getting for the measure which taken from the second fact table. Please advice me how to get the data for the measure which taken from the second fact table.
Thanks in Advancec !!

You have to use the level-base measure capabilities.
http://gerardnico.com/wiki/dat/obiee/bi_server/design/fact_table/level_based_measure_calculations
For all measures of the second fact table with the lowest grain (with two dimension keys), set for all dimension where you don't have any key the logical level to the "All" or "Total".
And UNSET the highest level of the LTS for the second fact table.
Success
Nico

Foreign keys in SCD2 dimensions and fact tables in data warehouse

Hello.
I have datawarehouse in snowflake schema. All dimensions are SCD2, the columns are like that:
ID (PK) SID NAME ... START_DATE END_DATE IS_ACTUAL
1 1 XXX 01.01.2000 01.01.2002 0
2 1 YYX 02.01.2002 01.01.2004 1
3 2 SYX 02.01.2002 1
4 3 AYX 02.01.2002 01.01.2004 0
5 3 YYZ 02.01.2004 1
On this table there are relations from other dimension and fact table.
Need I create foreign keys for relation?
And if I do, on what columns? SID (serial ID) is not unique. If I create on ID, I have to get SID and actual row in any query.

>
I have datawarehouse in snowflake schema. All dimensions are SCD2, the columns are like that:
ID (PK) SID NAME ... START_DATE END_DATE IS_ACTUAL
1 1 XXX 01.01.2000 01.01.2002 0
2 1 YYX 02.01.2002 01.01.2004 1
3 2 SYX 02.01.2002 1
4 3 AYX 02.01.2002 01.01.2004 0
5 3 YYZ 02.01.2004 1
On this table there are relations from other dimension and fact table.
Need I create foreign keys for relation?
>
Are you still designing your system? Why did you choose NOT to use a Star schema? Star schema's are simpler and have some performance benefits over snowflakes. Although there may be some data redundancy that is usually not an issue for data warehouse systems since any DML is usually well-managed and normalization is often sacrificed for better performance.
Only YOU can determine what foreign keys you need. Generally you will create foreign keys between any child table and its parent table and those need to be created on a primary key or unique key value.
>
And if I do, on what columns? SID (serial ID) is not unique. If I create on ID, I have to get SID and actual row in any query.
>
I have no idea what that means. There isn't any way to tell from just the DDL for one dimension table that you provided.
It is not clear if you are saying that your fact table will have a direct relationship to the star-flake dimension tables or only link to them through the top-level dimensions.
Some types of snowflakes do nothing more than normalize a dimension table to eliminate redundancy. For those types the dimension table is, in a sense, a 'mini' fact table and the other normalized tables become its children. The fact table only has a relation to the main dimension table; any data needed from the dimensions 'child' tables is obtained by joining them to their 'parent'.
Other snowflake types have the main fact table having relations to one or more of the dimensions 'child' tables. That complicates the maintenance of the fact table since any change to the dimension 'child' table impacts the fact table also. It is not recommended to use that type of snowflake.
See the 'Snowflake Schemas' section of the Data Warehousing Guide
http://docs.oracle.com/cd/B28359_01/server.111/b28313/schemas.htm
>
Snowflake Schemas
The snowflake schema is a more complex data warehouse model than a star schema, and is a type of star schema. It is called a snowflake schema because the diagram of the schema resembles a snowflake.
Snowflake schemas normalize dimensions to eliminate redundancy. That is, the dimension data has been grouped into multiple tables instead of one large table. For example, a product dimension table in a star schema might be normalized into a products table, a product_category table, and a product_manufacturer table in a snowflake schema. While this saves space, it increases the number of dimension tables and requires more foreign key joins. The result is more complex queries and reduced query performance. Figure 19-3 presents a graphical representation of a snowflake schema.

Can source and target tables be the same

Hi there,
I need to restate profit center column in the delivery fact table. Historical Profit Centers need to be populated since today is the first time we brought in Profit Center field from LIPS table. The source for the delivery fact table is SAP LIPS table. so what I did is:
joined the LIPS and delivery fact table on (LIPS.delivery number = deliveryfacttable.delivery number & LIPS.delivery line item number = deliveryfacttable.delivery line item number) to get the profit center.
So the source and the target delivery fact table are the same. Is this a good practice becuase Data services warns me that the source and target tables are the same.
Please let me know a better alternative approach to this OR a better approach to restate fields for historical data. Thanks in advance.
Regards,
samqiue

Arun,
actually the LIPS resides on another server and in order to fetch data I have to write an R3 ABAP data flow, so I cant use it directly in a lookup.
Except what Im thinking based on your reply to use a lookup table is: that I will extract 3 colums (delivery number, delivery line item number and profit center) to a table and then use the lookup.
Thanks.
Regards,
samique

Improve Performance of Dimension and Fact table

Hi All,
Can any one explain me the steps how to improve performance of Dimension and Fact table.
Thanks in advace....
redd

Hi!
There is much to be said about performance in general, but I will try to answer your specific question regarding fact and dimension tables.
First of all try to compress as many requests as possible in the fact table and do that regularily.
Partition your compressed fact table physically based on for example 0CALMONTH. In the infocube maintenance, in the Extras menu, choose partitioning.
Partition your cube logically into several smaller cubes based on for example 0CALYEAR. Combine the cubes with a multiprovider.
Use constants on infocube level (Extras->Structure Specific Infoobject properties) and/or restrictions on specific cubes in your multiprovider queries if needed.
Create aggregates of subsets of your characteristics based on your query design. Use the debug option in RSRT to investigate which objects you need to include.
To investigate the size of the dimension tables, first use the test in transaction RSRV (Database Information about InfoProvider Tables). It will tell you the relative sizes of your dimensions in comparison to your fact table. Then go to transaction DB02 and conduct a detailed analysis on the large dimension tables. You can choose "table columns" in the detailed analysis screen to see the number of distinct values in each column (characteristic). You also need to understand the "business logic" behind these objects. The ones that have low cardinality, that is relate to each other shoule be located together. With this information at hand you can understand which objects contribute the most to the size of the dimension and separate the dimension.
Use line item dimension where applicable, but use the "high cardinality" option with extreme care.
Generate database statistics regularily using process chains or (if you use Oracle) schedule BRCONNECT runs using transaction DB13.
Good luck!
Kind Regards
Andreas

Needed - BW data model and list of Dimensions and Fact table from BW

Dear Friends,
Can somebody please share SAP BW DATA MODEL (LOGICAL) and share the list of DIMENSION and FACT tables exist in BW?
I don't have access to SAP or SAP BW and I am building data-mart and SAP FI/CO will be the source.
Thank you very much in advance.
Regards,
Nitin
Edited by: Nitin Baradia on Apr 5, 2010 9:08 AM

Let me rephrase.
I got an EarlyWatch that said my dimensions on one of cube were too big. I ran SAP_INFOCUBE_DESIGNS in SE38 in my development box and that confirmed it.
So, I redesigned the cube, reactivated it and reloaded it. I then ran SAP_INFOCUBE_DESIGNS again. The cube doesn't even show up on it. I suspect I have to trigger something in BW to make it populate for that cube. How do I make that happen manually?
Thanks.
Dave

How to load data to dimensions and fact table is it simialr to sql server

How to load data to dimensions and fact table in a data ware house environment, is it simialr to sql server, oracle?
Never migrated or loaded data to datawarehouse server.
I have an interview and am really confused if they ask anything related to the dataware house side elements.
Coudl you please if you don't mind provide me some steps and dimension and fact table info, an example only.
Atleast for my knowledge.
Thank you very much for the helpful info.

Some discussions in previous forums should help you
http://forums.sdn.sap.com/thread.jspa?threadID=2019448
http://forums.sdn.sap.com/thread.jspa?threadID=1908902
In the SAP tutorial, you can see a sample example of making fact tables.
http://help.sap.com/businessobject/product_guides/boexir32SP1/en/xi321_ds_tutorial_en.pdf
Arun

Source and Target Table in the Same schema........will that work in ODI

Hi ,
Is it possible to have my source and target tables in the Same achema.......will it have any performance issues or some other issues in our ODI.......
I would like to know whether it works well or not .........
( To my understanding it wont have any issues ......But I am not 100 % sure on my judgement)
Thanks
AK

Yes, you're correct.
Just be sure about you load strategy, it means, if you need only to insert use the KM Control Append, but if need update too, try the IKM Oracle Incremental Update... I believe that will work better for millions of lines.
Anyway be sure that your database has the necessary tablespaces to manage huge data volume.

I have a serious (and bizarre!) issue with my novation impulse (Although i've tried it with two other keyboards and i still have the same problem) and its compatibility with mainstage 3

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i am using Logic 9, and i have a macbook pro 2.9 Ghz I7 with 8 gigs of memory and OS X 10.8.4

Hi Josh,
Thanks for taking the time to contact us here a Novation for technical support. Lets continue to correspond via email so we can get your issue resolved.
Thanks.
Mike Towns

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Dimension and Fact table have the same grain

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